Manish Gupta

Publications

Books

• Manish Gupta, Michael Bendersky. Information Retrieval with Verbose Queries. Now Publishers, Foundations and Trends in Information Retrieval, 2015.
  Free e-book (opens in new tab). [Slides] (opens in new tab). Buy from Amazon (opens in new tab) [or] from Now Publishers (discount code 198756) (opens in new tab)
• Manish Gupta, Jing Gao, Charu Aggarwal, Jiawei Han. Outlier Detection for Temporal Data (opens in new tab). Morgan & Claypool, Synthesis Lectures on Data Mining and Knowledge Discovery, 2014.
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• Manish Gupta, Ganesh Ramakrishnan (Editors). Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2021 Workshops, WSPA, MLMEIN, SDPRA, DARAI, and AI4EPT (opens in new tab). Delhi, India, May 11, 2021. Vol. 12705. Springer Nature, 2021.
• Jayant R. Haritsa, Shourya Roy, Manish Gupta, Sharad Mehrotra, Balaji Vasan Srinivasan, Yogesh Simmhan. Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS, 26th COMAD (opens in new tab). Virtual Event, Bangalore, India, January 2-4, 2021. ACM, 2021. ISBN=978-1-4503-8817-7.

Book Chapters

• Manish Gupta. “Basics of Deep Learning (opens in new tab)“, “Essentials of Business Analytics – An Introduction to the Methodology and its Applications”, Ed: Sridhar Seshadri, Bhimasankaram Pochiraju. 2017
• Manish Gupta, Jiawei Han. “Approaches for Pattern Discovery Using Sequential Data Mining (opens in new tab)“, Pattern Discovery Using Sequence Data Mining: Applications and StudiesM (opens in new tab), Ed: Pradeep Kumar, Radha Krishna, Bapi Raju. 2011
• Manish Gupta, Jiawei Han. “Applications of Pattern Discovery Using Sequential Data Mining (opens in new tab)“, Pattern Discovery Using Sequence Data Mining: Applications and Studies (opens in new tab), Ed: Pradeep Kumar, Radha Krishna, Bapi Raju. 2011
• Manish Gupta, Rui Li, Zhijun Yin, Jiawei Han. “Survey on Social Tagging Techniques (opens in new tab)“, Social Network Data Analytics (Springer) (opens in new tab) Ed. Charu Aggarwal, March 2011

Patents

• Shanu Kumar, Shubhanshu Khandelwal, Akhila Yesantarao Venkata, Manish Gupta, Parag Agrawal. Joint Optimization Framework For Prompt Efficiency And Performance Trade-Offs In Language Model Applications. 2025.
  

• Shanu Kumar, Shubhanshu Khandelwal, Akhila Yesantarao Venkata, Manish Gupta, Parag Agrawal. Systematic Tuning of Prompt Systems. 2025.
  

• Anant Khandelwal, Puneet Agrawal, Tushar Singhal, Manish Gupta. Compressed Grounding Data for Search Grounding. 2025.
  

• Manish Gupta, Niraj Nrisinvha Bhilegaonkar, Avishek Mazumder, Akash Katare. Semantic Image Similarity. 2024.

• Manish Gupta, Puneet Agrawal, Biju Venugopal, Sushil Chordia, Anand Raman, Shveta Verma. Suggestion nudges for long web autosuggest queries. 2023.

• Akriti, Kumar Subham, Puneet Agrawal, Rishab LNU, Srimukha Paturi, Manish Gupta. Ghosting for Multi-Modal Dialogs. 2023.

• Tezan Sahu, Kishor Chamua, Anuska Nandy, Deepanjali Singh, Manish Gupta. Autosuggest as a Gateway to Chat in Web Search. 2023.

• Manish Gupta, Puneet Agarwal. Clustering Suggestions for Query Auto-Completion. 2022.

• Manish Gupta, Prashant Gupta, Vinay Vemula and Raghuram Lanka. Forecasting cataract surgery effectiveness. US 2018/296320

• Manish Gupta, Joy Mustafi, Prashant Gupta. Personalized Refractive Surgery Recommendations for Eye Patients. US 10426551 B2

• Manish Gupta, Joy Mustafi, Prashant Gupta. Forecasting Eye Condition Progression for Eye Patients. US 10667680 B2

• Manish Gupta, Prashant Gupta, Mithun Das Gupta. Automatic Generation of Fundus Drawings. US 10163241 B2

• Manish Gupta, Ambuj Ojha, Manoj Agarwal. A System and Method for enabling Related Searches for Live Events in Data Streams. US 10318594 B2

• Manish Satyapal Gupta, Victor Das, Avishek Dan, Pallavi Matani, Rupesh Mehta. Extracting Enterprise Project Information. WO 2016/206044

• Manish Satyapal Gupta, Looja Tuladhar. Click Through Rate Prediction System and Method. US 8738436 B2

• Manish Satyapal Gupta, Shyam Ramamurthy, Shyam Krishnamurthy, Himanshu Verma, Srinivas Devarakonda. System and Method for Social Networking. US 8856229 B2

• Manish Satyapal Gupta, Looja Tuladhar, Gaurav Gehlot, Bhupesh Goel, Anand Suvernkar. Search Query Concept-Based Recommendations. US 2010/0169316

• Manish Satyapal Gupta, Jaygiri Goswami, Naveen Gupta. System and Method for User-targeted Listings. US 2011/0010224

• Naveen Gupta, Jaygiri Goswami, Manish Satyapal Gupta. Creating Rich Profiles of Users from Web Browsing Information. US 2016/0063444

• Naveen Gupta, Jaygiri Goswami, Manish Satyapal Gupta. Intelligent Discovery of Qualifications of a Web Browsing User. US 2016/0063443

• Naveen Gupta, Jaygiri Goswami, Manish Satyapal Gupta. Assembling information to generate composite web page content. US 2016/0140505.

Publication Summary

• Short (Findings): Himanshu Wadhwa, T Karthikeyan, Mausam, Manish Gupta. Towards Multimodal Question Answering in Educational Domain. International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics 2025. Dec 20-24. Mumbai, India.

• Full (Findings): Akhilesh Aravapalli, Mounika Marreddy, Radhika Mamidi, Manish Gupta, Subba Reddy Oota. IndicSentEval: How Effectively do Multilingual Transformer Models encode Linguistic Properties for Indic Languages? International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics 2025. Dec 20-24. Mumbai, India.

• Full: Anuja Negi, Subba Reddy Oota, Anwar O Nunez-Elizalde, Manish Gupta, Fatma Deniz. Brain-Informed Fine-Tuning for Improved Multilingual Understanding in Language Models.  The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS). Dec 2-7, 2025. San Diego, CA, USA.

• Tutorial: Subba Reddy Oota, Tanmoy Chakraborty, Manish Gupta, Raju S. Bapi. Brain-Inspired AI 2.0: Aligning Language Models Across Languages and Modalities. The 40th Annual AAAI Conference on Artificial Intelligence. Jan 20-27, 2026. Singapore.

• Full (Main): Anant Khandelwal, Manish Gupta, Puneet Agrawal. CoCoA: Confidence- and Context-Aware Adaptive Decoding for Resolving Knowledge Conflicts in Large Language Models. [Poster] The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP). Nov 5-9, 2025. Suzhou, China.

• Full (Findings): T Karthikeyan, Om Dehlan, Mausam, Manish Gupta. LRPLAN: A Multi-Agent Collaboration of Large Language and Reasoning Models for Planning with Implicit & Explicit Constraints. [Poster] [Slides] [Video] The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP). Nov 5-9, 2025. Suzhou, China.

• Full (Findings): Bhagesh Gaur, Karan Gupta, Aseem Srivastava, Manish Gupta, Md Shad Akhtar. Assess and Prompt: A Generative RL Framework for Improving Engagement in Online Mental Health Communities. [Slides] [Poster] [Video] The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP). Nov 5-9, 2025. Suzhou, China.

• Full (Main): Padakanti Srijith, Khushbu Pahwa, Radhika Mamidi, Bapi Raju Surampudi, Manish Gupta, Subba Reddy Oota. Aligning Text/Speech Representations from Multimodal Models with MEG Brain Activity During Listening. [Slides] [Poster] The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP). Nov 5-9, 2025. Suzhou, China.

• Full: Tushar Abhishek, Manas Jain, Shishir Hardia, Shreevignesh Suriyanarayanan, Sandra Anil, Rushabh Gandhi, Manish Gupta. EnhanceMyPrompt: Rewriting Chat Queries for Effective Response Generation from LLMs. [Slides] Conference on Information and Knowledge Management (CIKM) Applied Research Papers. Nov 10-14, 2025. Seoul, South Korea.

• Full: Sarmistha Das, R E Zera Marveen Lyngkhoi, Kirtan Jain, Vinayak Goyal, Sriparna Saha and Manish Gupta. When Words Can’t Capture It All: Towards Video-Based User Complaint Text Generation with Multimodal Video Complaint Dataset. [Slides]  Conference on Information and Knowledge Management (CIKM) Applied Research Papers. Nov 10-14, 2025. Seoul, South Korea.

• Journal: Yaswanth Narsupalli, Abhranil Chandra, Sreevatsa Muppirala, Manish Gupta, Pawan Goyal. ReFeR: Improving Evaluation and Reasoning through Hierarchy of Models. Transactions of Machine Learning Research (TMLR). 2025.

• Workshop: Mohammad Aflah Khan, Mahsa Amani, Soumi Das, Bishwamittra Ghosh, Qinyuan Wu, Krishna P. Gummadi, Manish Gupta, Abhilasha Ravichander. In Agents We Trust, but Who Do Agents Trust? Latent Source Preferences Steer LLM Generations. ICML 2025 Workshop on Reliable and Responsible Foundation Models. July 18, 2025. Vancouver, Canada.

• Full: Yogesh Kumar, Uday Agarwal, Manish Gupta, Anand Mishra. Aligning Moments in Time using Video Queries. [Slides] International Conference on Computer Vision 2025 (ICCV). [Also selected for the Vision India session at ICVGIP 2025] Oct 19-Oct 23, 2025, Honolulu, Hawaii.

• Full (Main): Soumyabrata Chaudhuri, Pranav Purkar, Ritwik Raghav, Shubhojit Mallick, Manish Gupta, Abhik Jana, Shreya Ghosh. TripCraft: A Benchmark for Spatio-Temporally Fine Grained Travel Planning. [Slides] [Poster] The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025). Jul 27-Aug 1, 2025. Vienna, Austria.

• Full (Main): Shanu Kumar, Akhila Yesantarao Venkata, Shubhanshu Khandelwal, Bishal Santra, Parag Agrawal, Manish Gupta. SCULPT: Systematic Tuning of Long Prompts. [Poster] The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025). Jul 27-Aug 1, 2025. Vienna, Austria.

• Full (Findings): Mounika Marreddy, Subba Reddy Oota, Venkata Charan Chinni, Manish Gupta, Lucie Flek. USDC: A Dataset of User Stance and Dogmatism in Long Conversations. The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025). Jul 27-Aug 1, 2025. Vienna, Austria.

• Full: Suchith Chidananda Prabhu, Bhavyajeet Singh, Anshul Mittal, Siddarth Asokan, Shikhar Mohan, Deepak Saini, Yashoteja Prabhu, Lakshya Kumar, Jian Jiao, Amit S, Niket Tandon, Manish Gupta, Sumeet Agarwal, Manik Varma. MOGIC: Metadata-Infused Oracle Guidance For Improved Extreme Classification. [Poster] Forty-second International Conference on Machine Learning (ICML). July 13-19, 2025.  Vancouver, Canada.

• Full (Industry): Ankith Karat, Atishay Tibrewal, Nishka Kotian, Manan Dang, Ravindra Valluri, Antony Ravi Teja Marineni, Sarthak Sahni, Rhea Sundaresan, Ankit Kumar, Aditya Mehndiratta, Sunil Shah, Arun D Poondi, Chandra Bhushan, Subhasis Panigrahi, Manish Gupta. A System for Triggering Sports Instant Answers on Search Engines. [Slides] The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR Industry Track). July 13-17, 2025. Padua, Italy.

• Short: Rishav Ranaut, Sriparna Saha, Adam Jatowt, Manish Gupta. Text Obsoleteness Detection using Large Language Models. [Poster] The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. July 13-17, 2025. Padua, Italy.

• Full: Rakesh Rajeev, Rishabh Jain, Venkata M. V. Gunturi, Vishawam Datta, Kartik Ramesh, Ashank Anshuman, Manish Gupta and Samir Jain. Periodic Spatio-Temporal Colored Hotspot Detection in Azure Traffic Data. 17th Asian Conference on Intelligent Information and Database Systems (ACIIDS). 23-25 Apr 2025, Kitakyushu, Japan.

• Full: Subba Reddy Oota, Akshett Rai Jindal, Ishani Mondal, Khushbu Pahwa, Srinath Namburi, Manish Shrivastava, Maneesh Singh, Bapi S. Raju, Manish Gupta. Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain). [Slides] [Poster] The Thirteenth International Conference on Learning Representations (ICLR). Apr 24–28, 2025. Singapore.

• Full: Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Maneesh Kumar Singh, Manish Gupta, Bapi Raju Surampudi. Multi-modal brain encoding models for multi-modal stimuli.  [Slides]  [Poster] The Thirteenth International Conference on Learning Representations (ICLR). Apr 24–28, 2025. Singapore.

• Tutorial: Manish Gupta. Retrieval Augmented Generation. [Slides] IndoML 2024. Dec 22, 2024. Goa, India.

• Tutorial: Mounika Marreddy, Subba Reddy Oota, Manish Gupta. Large Language Models are Human-like Annotators. [Slides] [Video] The 47th European Conference on Information Retrieval (ECIR). Apr 06-10, 2025. Lucca, Italy.

• Workshop: Yaswanth Narsupalli, Abhranil Chandra, Sreevatsa Muppirala, Manish Gupta, Pawan Goyal. A Hierarchical Framework of Models as Reasoning and Auto-Evaluation Agents. Statistical Foundations of LLMs and Foundation Models (NeurIPS 2024 Workshop). December 14, 2024. Vancouver, British Columbia, Canada.

• Workshop: Yaswanth Narsupalli, Abhranil Chandra, Sreevatsa Muppirala, Manish Gupta, Pawan Goyal. ReFeR: A Hierarchical Framework of Models as Evaluative and Reasoning Agents. Workshop on Socially Responsible Language Modelling Research (colocated with NeurIPS 2024). December 14, 2024. Vancouver, British Columbia, Canada.

• Full: Shreya Shukla, Nakul Sharma, Manish Gupta, Anand Mishra. PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures. [Poster] The 39th Annual AAAI Conference on Artificial Intelligence (AAAI). Feb 25 – Mar 4, 2025. Philadelphia, Pennsylvania, USA.

• Full: Subba Reddy Oota, Zijiao Chen, Manish Gupta, Raju Bapi Surampudi, Gael Jobard, Frederic Alexandre, Xavier Hinaut. Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey). Transactions on Machine Learning Research (TMLR). 2024.

• Full: Uday Agarwal, Yogesh Kumar, Abu Shahid, Prajwal Gatti, Manish Gupta, Anand Mishra. ChapVidMR: Chapter-based Video Moment Retrieval using Natural Language Queries. Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP). Bangalore, India. Dec 13-15, 2024.

• Workshop: Yaswanth Narsupalli, Abhranil Chandra, Sreevatsa Muppirala, Manish Gupta, Pawan Goyal. ReFeR: A Hierarchical Framework of Models as Evaluative and Reasoning Agents. Workshop on Socially Responsible Language Modelling Research (SoLaR) colocated with NeurIPS.  Dec 14, 2024. Vancouver, Canada.

• Full: Arpan Phukan, Manish Gupta, Asif Ekbal. ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos. [Slides] [Poster] The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP). Nov 12 -16, 2024. Miami, Florida, USA.

• Workshop: Srichandra Chilappagari, Rishab LNU, Kedhar Nath Narahari, Karthik RG, Manish Gupta, Puneet Agrawal. Assessing Performance of Large Language Models in Generating Local and Trending Query Auto-Completions. [Slides] AI Agent for Information Retrieval Workshop (Agent4IR) colocated with CIKM 2024. Oct 25, 2024. Boise, Idaho, USA.

• Tutorial: Manish Gupta. Deep Learning Methods for Query Auto Completion. [Slides] The 4th Conf on AIML-Systems. Oct 8-11, 2024. Baton Rouge, Louisiana, USA.

• Tutorial: Manish Gupta. Pretrained Transformers and Natural Language Applications.  [Slides and Material] [Video] ACM Summer School on Generative AI for Text. Jun 24-Jul 5, 2024. Gandhinagar, India.

• Short: Shivansh Subramanian, Dhaval Taunk, Manish Gupta and Vasudeva Varma. OutlineGen: Multi-lingual Outline Generation for Encyclopedic Text in Low Resource Languages.  [Slides] The International Conference on Social Networks Analysis and Mining (ASONAM). Sep 2-5, 2024. Calabria, Italy. 

• Full: Rahul Mehta, Bhavyajeet Singh, Vasudeva Varma, Manish Gupta. CircuitVQA: A Visual Question Answering Dataset for Electrical Circuit Images. [Slides] [Video] The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD). Sep 9-13, 2024. Vilnius, Lithuania.

• Full: Shikhar Mohan, Deepak Saini, Anshul Mittal, Sayak Ray Chowdhury, Bhawna Paliwal, Jian Jiao, Manish Gupta, Manik Varma. OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification. [Slides] [Video] The 41st Intl. Conf. on Machine Learning. Jul 21-27, 2024. Vienna, Austria.

• Tutorial: Mounika Marreddy, Subba Reddy Oota, Manish Gupta, Lucie Flek. Large Language Models are Human-like Annotators. 21st International Conference on Principles of Knowledge Representation and Reasoning. Nov 2-8, 2024. Hanoi, Vietnam.

• Full: Aishwarya M, Kaushal Maurya, Manish Gupta, Maunendra Sankar Desarkar. DAC: Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion. [Slides] [Video] The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. July 14-18, 2024. Washington D.C., USA.

• Short: Daivik Sojitra, Raghav Jain, Sriparna Saha, Adam Jatowt and Manish Gupta. Timeline Summarization in the Era of LLMs. [Slides] [Poster] The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. July 14-18, 2024. Washington D.C., USA.

• Full: Aishwarya M, Kaushal Maurya, Manish Gupta, Maunendra Sankar Desarkar. DQAC: Detoxifying Query Auto-Completion with Adapters. [Slides] [Video] The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2024. May 7-10, 2024. Taipei, Taiwan.

• Short: Ankita Maity, Anubhav Sharma, Rudra Dhar, Tushar Abhishek, Manish Gupta, and Vasudeva Varma. “Multilingual Bias Detection and Mitigation for Indian Languages.” arXiv preprint arXiv:2312.15181 (2023).

• Full: Anirudh Buvanesh, Rahul Chand, Jatin Prakash, Bhawna Paliwal, Mudit Dhawan, Neelabh Madan, Deepesh Hada, Vidit Jain, Sonu Mehta, Yashoteja Prabhu, Manish Gupta, Ramachandran Ramjee, Manik Varma. Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction. [Slides] [Video] The Twelfth International Conference on Learning Representations (ICLR). May 7-11, 2024. Vienna, Austria.

• Full: Bishal Santra, Ravi Ghadia, Manish Gupta, and Pawan Goyal. “CORAL: Contextual Response Retrievability Loss Function for Training Dialog Generation Models.” arXiv preprint arXiv:2205.10558 (2022). 

• Full: Prajwal Gatti, Kshitij Parikh, Dhriti Paul, Manish Gupta, Anand Mishra. Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions. [Slides] [Video] [Poster] Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI). Feb 20-27, 2024. Vancouver, Canada.

• Full: Pavan Kalyan Reddy Neerudu, Subba Reddy Oota, Mounika Marreddy, Venkateswara Rao Kagita, Manish Gupta. On Robustness of Finetuned Transformer-based NLP Models. [Slides] [Video] The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) Findings. Dec 6–10, 2023. Singapore.

• Full: Bishal Santra, Sakya Basak, Abhinandan De, Manish Gupta, Pawan Goyal. Frugal Prompting for Dialog Models. [Slides] [Video] [Poster] The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) Findings. Dec 6–10, 2023. Singapore.

• Full: Subba Reddy Oota, Manish Gupta, Mariya Toneva. Joint processing of linguistic properties in brains and language models. [Poster] [Slides] Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS). Dec 10–16, 2023. New Orleans, Louisiana.

• Short: Shrey Gupta, Pratyush Priyadarshi and Manish Gupta. Hateful Comment Detection and Hate Target Type Prediction for Video Comments. [Slides] [Video] [Poster] 32nd ACM International Conference on Information and Knowledge Management (CIKM). Oct 21-25, 2023. Birmingham, UK.

• Full: Bhavyajeet Singh, Aditya Hari, Rahul Mehta, Tushar Abhishek, Manish Gupta, Vasudeva Varma. XFLT : Exploring Techniques for Generating Cross Lingual Factually Grounded Long Text [Slides] 26th European Conference on Artificial Intelligence (ECAI). Sep 30-Oct 5, 2023, Kraków, Poland.

• Full: Kaushal Maurya, Maunendra Sankar Desarkar, Manish Gupta, Puneet Agrawal. Trie-NLG: Trie Context Augmentation to Improve Personalized Query Auto-Completion for Short and Unseen Prefixes. [Slides] Data Mining and Knowledge Discovery and European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2023 (ECML-PKDD). Sep 18 -22 2023. Torino, Italy.

• Full: Shivprasad Sagare, Tushar Abhishek, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta and Vasudeva Varma. XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages. [Slides] The International Conference on Natural Language Generation (INLG). Prague, Czech Republic. Sep 11-15, 2023

• Full: Tathagata Raha, Mukund Choudhary, Abhinav Menon, Harshit Gupta, K. V. Aditya Srivatsa, Manish Gupta, Vasudeva Varma. Neural models for Factual Inconsistency Classification with Explanations. [Slides] European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2023 (ECML-PKDD). Sep 18 -22 2023. Torino, Italy.

• Full: Subba Reddy Oota, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Raju Bapi. Speech Taskonomy: Which Speech Tasks are the most Predictive of fMRI Brain Activity? [Slides] [Video] INTERSPEECH 2023. Aug 20th-24th 2023. Dublin, Ireland. (Also accepted to be presented at Kaleidoscope session in Data Science in India event at KDD 2023)

• Full: Harsh Agrawal, Aditya M. Mishra, Manish Gupta and Mausam. Multimodal Persona Based Generation of Comic Dialogs. [Slides] [Poster] The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023). July 9th-14th, 2023. Toronto, Canada.

• Full: Subba Reddy Oota, Mounika Marreddy, Manish Gupta and Raju Bapi. Syntactic Structure Processing in the Brain while Listening. [Slides] [Poster] The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023) Findings. July 9th-14th, 2023. Toronto, Canada.

• Tutorial: Subba Reddy Oota, Manish Gupta, Bapi Raju Surampudi, Mariya Toneva. Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding. [Slides] The 32nd International Joint Conference on Artificial Intelligence (IJCAI-23). Aug 19th-Aug 25, 2023. Macao, S.A.R.

• Full: Abhirama Subramanyam Penamakuri, Manish Gupta, Mithun Gupta, Anand Mishra. Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering. [Slides] The 32nd International Joint Conference on Artificial Intelligence (IJCAI-23). Aug 19th-Aug 25, 2023. Macao, S.A.R.

• Full (Dataset Track): Mithun Das, Rohit Raj, Punyajoy Saha, Binny Mathew, Manish Gupta, Animesh Mukherjee. HateMM: A Multi-modal Dataset for Hate Video Classification. [Slides] The 17th International AAAI Conference on Web and Social Media (ICWSM). Jun 5-8, 2023. Limassal, Cyprus. 

• Tutorial: Subba Reddy Oota, Manish Gupta, Bapi Raju Surampudi. Language and the Brain: Deep Learning for Brain Encoding and Decoding. [Slides] International Joint Conference on Neural Networks (IJCNN). Jun 18-23, 2023. Queensland, Australia

• Full: Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Manish Gupta, Raju Bapi. Neural Architecture of Speech. [Slides] [Video] 2023 IEEE International Conference on Acoustics, Speech and Signal Processing. Jun 4-10. Rhodes Island, Greece.

• Full: Dhaval Taunk, Shivprasad Sagare, Anupam Patil, Shivansh Subramanian, Manish Gupta, Vasudeva Varma. XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages. [Slides] The Web Conference (WWW). Apr 30-May 4, 2023. Austin, TX, USA.

• Full: Sahil Manoj Bhatt, Sahaj Agarwal, Omkar Gurjar, Manish Gupta, Manish Shrivastava. TourismNLG: A Multi-lingual Generative Benchmark for the Tourism Domain [Slides]. 45th European Conference on Information Retrieval (ECIR). Apr 2-6, 2023. Dublin, Ireland.

• Tutorial: Manish Gupta, Meghana Joshi, Puneet Agrawal. Deep Learning Methods for Query Auto Completion [Slides]. 45th European Conference on Information Retrieval (ECIR). Apr 2-6, 2023. Dublin, Ireland.

• Short: Jashn Arora, Subbareddy Oota, Manish Gupta, S. Bapi Raju. Brain Decoding for Abstract versus Concrete Concepts. 9th Annual Conference of Cognitive Science (ACCS9). Dec 8-10, 2022. Delhi, India.

• Workshop: Venkata M. V. Gunturi, Vipul Bondre, Aaditya Barnwal, Rakesh Rajeev, Samir Jain, Ashank Anshuman, Manish Gupta. A Case Study on Periodic Spatio-Temporal Hotspot Detection in Azure Traffic Data. 17th International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM-22). In Cooperation with IEEE ICDM 2022, Nov 28 – Dec 1 2022, Orlando, Florida, USA.

• Full: Subba Reddy Oota, Vijay Rowtula, Shahid Mohammed, Minghsun Liu, Manish Gupta. WSNet: Towards An Effective Method for Wound Image Segmentation. [Slides] IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) . Jan 3-7, 2023. Waikoloa, Hawaii.

• Full: Prajwal Gatti, Anand Mishra, Manish Gupta and Mithun Das Gupta. VisToT: Vision-Augmented Table-to-Text Generation. [Poster] [Slides] [Short Video] The 2022 Conference on Empirical Methods in Natural Language Processing. Dec 7–11, 2022. Abu Dhabi. 

• Full: Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Raju S. Bapi. Visio-Linguistic Brain Encoding. [Slides] [Video] The 29th International Conference on Computational Linguistics. Oct 12-17, 2022. Gyeongju, Republic of Korea.

• Full: Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi. Multi-view and Cross-view Brain Decoding. [Slides] [Video] The 29th International Conference on Computational Linguistics. Oct 12-17, 2022. Gyeongju, Republic of Korea.

• Tutorial: Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi, Mariya Toneva. Deep Learning for Brain Encoding and Decoding. [Slides and material] [Video] The 44th Annual Meeting of the Cognitive Science Society, Jul 27-30, 2022. Toronto, Canada.

• Full: Sayar Ghosh Roy, Anshul Padhi, Risubh Jain, Manish Gupta, Vasudeva Varma. Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents. [Slides] [Video] HT 2022: 33rd ACM Conference on Hypertext and Social Media. June 28 – July 1, 2022. Barcelona, Spain.

• Tutorial: Manish Gupta, Puneet Agrawal. Deep Learning Methods for Query Auto Completion [Slides] [Video]. The 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence. July 23-29, 2022. Vienna, Austria.

• Full: Subba Reddy Oota, Veeral Agarwal, Jashn Arora, Mounika Marreddy, Manish Gupta, Raju Bapi. Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? [Slides] [Video] 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). July 10–15, 2022. Seattle, Washington.

• Full: Bishal Santra, Sumegh Roychowdhury, Aishik Mandal, Vasu Gurram, Atharva Naik, Manish Gupta, Pawan Goyal. Representation Learning for Conversational Data using Discourse Mutual Information Maximization. [Poster] [Slides] [Video] 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). July 10–15, 2022. Seattle, Washington.

• Poster/Demo: Tushar Abhishek, Shivprasad Sagare, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta and Vasudeva Varma. XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages. [Slides] [Video] [Dataset] The Web Conference 2022.  Online. April 25-29, 2022

• Workshop : Arnav Kapoor, Dipanwita Guhathakurta, Mehul Mathur, Rupanshu Yadav, Manish Gupta, Ponnurangam Kumaraguru. TweetBoost: Influence of Social Media on NFT Valuation. [Video] [Slides] The 2nd Workshop on Financial Technology on the Web (FinWeb-2022). Lyon, France, April 25-26, 2022.

• Demo: Arnav Kapoor, Manish Gupta. Identifying relevant sentences for travel blogs from Wikipedia articles. [Video] [Slides] The 27th International Conference on Database Systems for Advanced Applications (DASFAA), Demo Track. Apr 11-14, 2022, Online.

• Full: Tushar Abhishek, Daksh Rawat, Manish Gupta, Vasudeva Varma. Fact Aware Multi-Task Learning for Text Coherence Modeling. [Slides] The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Chengdu, China. May 16-19, 2022.

• Full: Pranay Gupta, Manish Gupta. NewsKVQA: Knowledge-Aware News Video Question Answering. [Slides] The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Chengdu, China. May 16-19, 2022.

• Full: Sahil Chelaramani, Ankush Chatterjee, Sonam Damani, Kedhar Nath Narahari, Meghana Joshi, Manish Gupta, Puneet Agrawal. Query-Document Topic Mismatch Detection [Slides], 27th International Conference on Database Systems for Advanced Applications (DASFAA-2022) Industry Track. Apr 11-14, 2022, Online.

• Tutorial: Sarah Masud, Pinkesh Badjatiya, Amitava Das, Manish Gupta, Preslav Nakov, Tanmoy Chakraborty. Combating Online Hate Speech: Roles of Content, Networks, Psychology, User Behavior, etc. [Slides (opens in new tab)] [Tutorial Website] WSDM 2022. Feb 21-25, 2022, Online.

• Full: Tanmay Sachan, Nikhil Pinnaparaju, Manish Gupta, Vasudeva Varma. SCATE: Shared Cross Attention Transformer Encoders for Multimodal Fake News Detection. ASONAM 2021 Industry Track. [Slides], Nov 8-11, 2021, Online.

• Tutorial: Manish Gupta. Compression of Deep Learning Models for Text. (opens in new tab) The First International Conference on AI-ML-Systems (AIMLSystems ’21) (opens in new tab) [Slides (opens in new tab)], October 21–23, 2021, Bangalore, India

• Short: Yash Agrawal, Vivek Anand, Manish Gupta, S Arunachalam and Vasudeva Varma. Goal-Directed Extractive Summarization of Financial Reports (opens in new tab). [Slides (opens in new tab)] The 30th ACM International Conference on Information and Knowledge Management (CIKM 2021) (opens in new tab). Nov 1-5, 2021, Online

• Journal: Manish Gupta, Puneet Agarwal. Compression of Deep Learning Models for Text: A Survey (opens in new tab). Transactions on Knowledge Discovery from Data (opens in new tab), 2021.

• Full: Manoj Agarwal, Animesh Baranawal, Yogesh Simmhan and Manish Gupta. Event Related Data Collection from Microblog Streams (opens in new tab). The 32nd International Conference on Database and Expert Systems Applications (DEXA2021) (opens in new tab). September 27-30, 2021 – Linz, Austria.

• Full: Rajarshee Mitra, Rhea Jain, Aditya Srikanth Veerubhotla, Manish Gupta. Zero-shot Multi-lingual Interrogative Question Generation for “People Also Ask” at Bing (opens in new tab). [Slides (opens in new tab)] [Video (opens in new tab)] KDD Applied Data Science Track 2021 (opens in new tab).

• Tutorial: Sarah Masud, Pinkesh Badjatiya, Amitava Das, Manish Gupta, Vasudeva Varma, Tanmoy Chakraborty. Combating Online Hate Speech: Roles of Content, Networks, Psychology, User Behavior and Others (opens in new tab). [Slides (opens in new tab)] [Tutorial Website (opens in new tab)] ECML-PKDD 2021 (opens in new tab).

• Full: Mohit Chandra, Dheeraj Pailla, Himanshu Bhatia, Aadilmehdi Sanchawala, Manish Gupta, Manish Shrivastava and Ponnurangam Kumaraguru. “Subverting the Jewtocracy”: Online Antisemitism Detection Using Multimodal Deep Learning (opens in new tab). [Slides] Web Science 2021 (opens in new tab).

• Journal: Pulkit Parikh, Harika Abburi, Niyati Chhaya, Manish Gupta and Vasudeva Varma. Categorizing Sexism and Misogyny through Neural Approaches (opens in new tab). Transactions of the Web (TWEB) (opens in new tab), 2021.

• Full: Nikhil Pinnaparaju, Manish Gupta, Vasudeva Varma. T3N: Harnessing Text and Temporal Tree Network for Rumor Detection on Twitter (opens in new tab).  [Slides (opens in new tab)] [Video (opens in new tab)]. The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2021) (opens in new tab). May 11-14, 2021. Online.

• Short: Omkar Gurjar, Manish Gupta. Should I visit this place? Inclusion and Exclusion Phrase Mining from Reviews (opens in new tab). [Slides (opens in new tab)] [Video (opens in new tab)] [Poster (opens in new tab)] The 43rd European Conference on Information Retrieval (ECIR 2021) (opens in new tab). Mar 28 – Apr 1, 2021. Online.

• Full: Subba Reddy Oota, Vijay Rowtula, Shahid Mohammed, Jeffrey Galitz, Minghsun Liu, Manish Gupta. HealTech – A System for Predicting Patient Hospitalization Risk and Wound Progression in Old Patients. Winter Conference on Applications of Computer Vision. [Slides] [Video] Jan 5-9, 2021. Online.

• Full: Sahil Chelaramani, Manish Gupta, Vipul Agarwal, Prashant Gupta, Ranya Habash. Multi-Task Knowledge Distillation for Eye Disease Prediction. Winter Conference on Applications of Computer Vision. [Slides] [Video] Jan 5-9, 2021. Online.

• Workshop: Sayar Ghosh Roy, Nikhil Pinnaparaju, Risubh Jain, Manish Gupta and Vasudeva Varma. Scientific Document Summarization for LaySumm ’20 and LongSumm ’20. [Slides] [Poster] 1st Workshop on Scholarly Document Processing @ EMNLP 2020. November 19, 2020. Online.

• Full: Tushar Abhishek, Ayush Agarwal, Anubhav Sharma, Vasudeva Varma, Manish Gupta. Rehoboam at the NTCIR-15 SHINRA2020-ML Task. NTCIR-15. December 08-11, 2020, NII, Tokyo, Japan.

• Full: Vijayasaradhi Indurthi, Bakhtiyar Syed, Manish Gupta and Vasudeva Varma. Predicting Clickbait Strength in Online Social Media. The 28th Intl. Conf. on Computational Linguistics. Dec 8-13, 2020. Online.

• Short: Mohit Chandra, Ashwin Pathak, Eesha Dutta, Paryul Jain, Manish Gupta, Manish Shrivastava and Ponnurangam Kumaraguru. AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts. [Poster] The 28th Intl. Conf. on Computational Linguistics. Dec 8-13, 2020. Online.

• Pre-print: Manish Gupta, Puneet Agarwal. Compression of Deep Learning Models for Text: A Survey. Arxiv.

• Short: Rajarshee Mitra, Manish Gupta, Sandipan Dandapat. Transformer Models for Recommending Related Questions in Web Search. [Slides] [Video] The 29th ACM International Conference on Information and Knowledge Management (CIKM). Oct 19-23, 2020. Online.

• Tutorial: Manish Gupta, Vasudeva Varma, Sonam Damani, Kedhar Nath Narahari. Compression of Deep Learning Models for NLP [Slides]. The 29th ACM International Conference on Information and Knowledge Management (CIKM). Oct 19-23, 2020. Galway, Ireland.
• Tutorial: Manish Gupta, Vasudeva Varma, Sonam Damani, Kedhar Nath Narahari. Compression of Deep Learning Models for NLP [Slides]. The 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020). Jul 11-17, 2020. Yokohama, Japan.
• Industry Talk: Manish Gupta, Sonam Damani, Kedhar Nath Narahari. Lessons from Large-scale Deployment of Transformer Models [Slides]. The 42nd European Conference on Information Retrieval (ECIR 2020). Apr 14-17, 2020.
• Full (Best Application Paper Award): Sonam Damani, Kedhar Nath Narahari, Ankush Chatterjee, Manish Gupta, Puneet Agrawal. Optimized Transformer Models for FAQ Answering [Slides] [Video]. The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020). May 11-16, 2020. Singapore.
• Full: Manish Gupta, Chetna Das, Arnab Roy, Prashant Gupta, G. Radhakrishna Pillai, Kamlakar Patole. Region of Interest Identification for Cervical Cancer Images [Slides] [Video]. IEEE ISBI 2020 International Symposium on Biomedical Imaging (ISBI 2020). Apr 3-7, 2020. Iowa City, Iowa, USA.
• Demo: Ankush Chatterjee, Manish Gupta, Puneet Agrawal. FAQAugmenter: Suggesting Questions for Enterprise FAQ Pages. [Poster] 13th ACM International WSDM Conference (WSDM 2020). Feb 3-7, 2020. Houston, Texas, USA.
• Workshop: Subba Reddy Oota, Vijay Rowtula, Shahid Mohammed, Jeffrey Galitz, Minghsun Liu, Manish Gupta. A Deep Multi-Modal Method for Patient Wound Healing Assessment [Slides]. Medical Imaging at NuerIPS 2019. Dec 14, 2019. Vancouver, Canada.
• Full: Sahil Chelaramani, Manish Gupta, Vipul Agarwal, Prashant Gupta and Ranya Habash. Multi-Task Learning for Eye Disease Prediction. [Slides] [Poster] The 5th Asian Conference on Pattern Recognition (ACPR 2019). Nov 26-29, 2019. Auckland, New Zealand.
• Full: Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta and Vasudeva Varma. Multi-label Categorization of Accounts of Sexism using a Neural Framework. [Slides] 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019). Nov 3-7, 2019. Hong Kong.
• Journal: Srishti Gupta, Gurpreet Singh Bhatia, Saksham Suri, Dhruv Kuchhal, Payas Gupta, Mustaque Ahamad, Manish Gupta, Ponnurangam Kumaraguru. Angel or Demon? Characterizing Variations Across Twitter Timeline of Technical Support Campaigners. Journal of Web Science. July 2019.
• Workshop: Hemant Kasat, Sanket Markan, Manish Gupta, Vikram Pudi. Temporal Link Prediction in Dynamic Networks. [Poster] Workshop on Mining and Learning with Graphs (MLG) 2019. Aug 5, 2019 – Anchorage, Alaska.
• Journal: Nikhil Pattisapu , Manish Gupta, Ponnurangam Kumaraguru , Vasudeva Varma. A Distant Supervision Based Approach to Medical Persona Classification. Journal of Biomedical Informatics. May 2019.
• Full: Indraneil Paul, Abhinav Khattar, Shaan Chopra, Ponnurangam Kumaraguru, Manish Gupta. What sets Verified Users apart? Insights, Analysis and Prediction of Verified Users on Twitter [Slides]. 11th ACM Conference on Web Science (WebSci). June 30 – July 3, 2019. Boston, MA, USA.
• Workshop: Vijayasaradhi Indurthi, Bakhtiyar Syed, Manish Shrivastava, Manish Gupta, Vasudeva Varma. Fermi at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media using Sentence Embeddings. International Workshop on Semantic Evaluation (SemEval 2019). June 6-7, 2019. Minneapolis, USA .
• Workshop: Bakhtiyar Syed, Vijayasaradhi Indurthi, Manish Shrivastava, Manish Gupta, Vasudeva Varma. Fermi at SemEval-2019 Task 8: An elementary but effective approach for Question Discernment in Community QA Forums. International Workshop on Semantic Evaluation (SemEval 2019). June 6-7, 2019. Minneapolis, USA .
• Workshop: Vijayasaradhi Indurthi, Bakhtiyar Syed, Manish Shrivastava, Nikhil Chakravartula, Manish Gupta, Vasudeva Varma. Fermi at SemEval-2019 Task 5: Using Sentence Embeddings to identify Hate Speech against Immigrants and Women on Twitter. International Workshop on Semantic Evaluation (SemEval 2019). [Slides] [Video] June 6-7, 2019. Minneapolis, USA .
• Full: Subba Reddy Oota, Vijay Rowtula, Manish Gupta and Raju S. Bapi. StepEnCog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding. The 2019 International Joint Conference on Neural Networks (IJCNN). Jul 14-19, 2019. Budapest, Hungary.
• Workshop: Indraneil Paul, Abhinav Khattar, Ponnurangam Kumaraguru, Manish Gupta, Shaan Chopra. Elites Tweet? Characterizing the Twitter Verified User Network (opens in new tab). 1st International Workshop on Large Scale Graph Data Analytics @ ICDE 2019 (opens in new tab). Apr 8-12, 2019. Macau SAR, China.
• Full: Pinkesh Badjatiya, Manish Gupta, Vasudeva Varma. Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations. The Web Conference 2019. May 13-17, 2019. San Francisco.
• Short: Dhruv Khattar, Jaipal Singh Goud, Manish Gupta, Vasudeva Varma. MVAE: Multimodal Variational Autoencoder for Fake News Detection. The Web Conference 2019. May 13-17, 2019. San Francisco.
• Workshop: Bakhtiyar Syed, Vijayasaradhi Indurthi, Kulin Shah, Manish Gupta, and Vasudeva Varma. Ingredients for Happiness: Modeling constructs via semi-supervised content driven inductive transfer learning. The AAAI Workshop on Affective Content Analysis. [Slides] Jan 27, 2019. Hilton Hawaiian Village, Honolulu, Hawaii, USA.
• Short: Bakhtiyar Syed, Vijayasaradhi Indurthi, Manish Gupta, Manish Shrivastava, Vasudeva Varma. Inductive Transfer Learning for Detection of Well-formed Natural Language Search Queries. The 41st European Conf. on Information Retrieval (ECIR 2019). Apr 14-18, 2019. Cologne, Germany.
• Demo: Nisarg Jhaveri, Manish Gupta and Vasudeva Varma: clstk: The Cross-lingual Summarization Tool-kit. [Slides] [Poster] The ACM India Joint International Conference on Data Science & Management of Data (CODS-COMAD). Jan 3-5, 2019. Kolkata, India.
• Journal: Ankan Mullick, Pawan Goyal, Niloy Ganguly, Manish Gupta: Harnessing Twitter for Answering Opinion List Queries. Transactions on Computational Social Systems, 2018.
• Workshop: SubbaReddy Oota, Vijay Rowtula, Manish Gupta, Raju S. Bapi: A Deep Autoencoder for Near-Perfect fMRI Encoding. [Poster] Workshop on Modeling and decision-making in the spatiotemporal domain at NIPS, Dec 7, 2018, Montreal, Canada.
• Demo: Nisarg Jhaveri, Manish Gupta and Vasudeva Varma: clstk: The Cross-lingual Summarization Tool-kit. 12th ACM International Conference on Web Search and Data Mining, Feb 11-15, 2019, Melbourne, Australia.
• Workshop: Dhruv Khattar, Vaibhav Kumar, Shashank Gupta, Manish Gupta and Vasudeva Varma: RARE: A Recurrent Attentive Recommendation Engine for News Aggregators. [Slides] 6th International Workshop on News Recommendation and Analytics (INRA) at Conference on Information and Knowledge Management (CIKM), Oct 22-26, 2018, Lingotto, Turin, Italy.
• Full: Madhav Nimishakavi, Bamdev Mishra, Manish Gupta and Partha Talukdar: Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information. [Slides] [Code] Conference on Information and Knowledge Management (CIKM), Oct 22-26, 2018, Lingotto, Turin, Italy.
• Short: Dhruv Khattar, Vaibhav Kumar, Manish Gupta and Vasudeva Varma: Weave&Rec : A Word Embedding based 3-D Convolutional Network for News Recommendation. [Poster] Conference on Information and Knowledge Management (CIKM), Oct 22-26, 2018, Lingotto, Turin, Italy.
• Short: Dhruv Khattar, Vaibhav Kumar, Manish Gupta and Vasudeva Varma: HRAM : A Hybrid Recurrent Attention Machine for News Recommendation. [Poster] Conference on Information and Knowledge Management (CIKM), Oct 22-26, 2018, Lingotto, Turin, Italy.
• Full: Nisarg Jhaveri, Manish Gupta, Vasudeva Varma: Translation Quality Estimation for Indian Languages. [Slides] [Audio] The 21st Annual Conference of the European Association for Machine Translation (EAMT), May 28-30, 2018, Alicante, Spain.
• Full: Madhav Nimishakavi, Manish Gupta, Partha Talukdar. Higher-order Relation Schema Induction using Tensor Factorization with Backoff and Aggregation. [Code] [Poster] The 56th Annual Meeting of the Association for Computational Linguistics (ACL), July 15-20, 2018, Melbourne.
• Full: Srishti Gupta, Dhruv Kuchhal, Payas Gupta, Mustaque Ahamad, Manish Gupta, Ponnurangam Kumaraguru . Under the Shadow of Sunshine: Characterizing Spam Campaigns Abusing Phone Numbers Across Online Social Networks. [Slides] The 10th ACM Conference on Web Science, May 27-30, 2018, Amsterdam.
• Workshop: Vaibhav Kumar, Dhruv Khattar, Manish Gupta, Vasudeva Varma. Neural Content-Collaborative Filtering for News Recommendation. [Slides] Second International Workshop on Recent Trends in News Information Retrieval (NewsIR). Mar 26, 2018. Grenoble, France.
• Workshop: Ganesh Jawahar, Ayushi Dalmia, Manish Gupta. Towards Interpretation of Node Embeddings. [Slides] [Video] The Third International Workshop on Learning Representations for Big Networks (BigNet 2018). Apr 24, 2018, Lyon, France.
• Full: Pulkit Parikh, Manish Gupta and Vasudeva Varma. Tapping Community Memberships and Devising a Novel Homophily Modeling Approach for Trust Prediction. [Slides] The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining. Jun 3-6, 2018, Melbourne, Australia.
• Short: Nisarg Jhaveri, Manish Gupta and Vasudeva Varma. A Workbench for Rapid Generation of Cross-Lingual Summaries. [Poster] 11th edition of the Language Resources and Evaluation Conference, May 7-12, 2018, Miyazaki (Japan).
• Full: Pinkesh Badjatiya, Litton J Kurisinkel, Manish Gupta and Vasudeva Varma. Attention-based Neural Text Segmentation. [Slides] The 40th European Conference on Information Retrieval. Mar 26-29, 2018. Grenoble, France.
• Full: Raksha Jalan, Manish Gupta and Vasudeva Varma. Medical Forum Question Classification Using Deep Learning. [Slides] The 40th European Conference on Information Retrieval. Mar 26-29, 2018. Grenoble, France.
• Full: Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani and Girish Keshav Palshikar. Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets. [Slides] The 40th European Conference on Information Retrieval. Mar 26-29, 2018. Grenoble, France.
• Short: Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani and Girish Keshav Palshikar. Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets. [Slides] The 40th European Conference on Information Retrieval. Mar 26-29, 2018. Grenoble, France.
• Full: Abhishek Kumar Singh, Manish Gupta and Vasudeva Varma. Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization. [Slides] [Poster] The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018). Feb 2-7, 2018. New Orleans, Louisiana, USA.
• Full: Vijayasaradhi Indurthi, Subba Reddy Oota, Manish Gupta, Vasudeva Varma. Believe It or Not! Identifying Bizarre News in Online News Media. [Slides] The ACM India Joint International Conference on Data Science & Management of Data (CoDS-COMAD 2018). Jan 11-13, 2018. Goa, India.
• Full: Supriya Pandhre, Himangi Mittal, Vineeth N Balasubramanian, Manish Gupta. STWalk: Learning Trajectory Representations in Temporal Graphs. [Slides] The ACM India Joint International Conference on Data Science & Management of Data (CoDS-COMAD 2018). Jan 11-13, 2018. Goa, India.
• Workshop: Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar. Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets. [Poster] ML4H: Machine Learning for Health at NIPS 2017. Dec 8, 2017. Long Beach, California, USA.
• Workshop: Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar. Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets. [Poster] ML4H: Machine Learning for Health at NIPS 2017. Dec 8, 2017. Long Beach, California, USA.
• Workshop: Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma. User Profiling based Deep Neural Network for Temporal News Recommendation. [Slides] Semantics-Enabled Recommender Systems Workshop at ICDM 2017 (SERecSys). Nov 18, 2017. New Orleans, USA.
• Short: Raghuram Vaddapalli, Litton J Kurisinkel, Manish Gupta and Vasudeva Varma. SSAS: A Novel Metric for Abstractive Summarization. [Slides] The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017). Nov 27-Dec 1, 2017. Taipei, Taiwan.
• Short: Abhishek Kumar Singh, Manish Gupta and Vasudeva Varma. Hybrid MemNet for Extractive Summarization. [Slides] [Poster] The ACM International Conference on Information and Knowledge Management (CIKM 2017). Nov 6-10, 2017. Singapore.
• Workshop: Manish Gupta. Linking Event Mentions from Cricket Match Reports to Commentaries. [Slides] Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA) at ECML/PKDD. Sep 18, 2017. Skopje, Macedonia.
• Workshop: Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, and Vasudeva Varma. Deep Neural Architecture for News Recommendation. Working Notes of the 8th International Conference of the CLEF (Conference and Labs of the Evaluation Forum) Initiative. Sep 11-14, 2017. Dublin, Ireland.
• Workshop: Shashank Gupta, Priya Radhakrishnan, Manish Gupta, Vasudeva Varma, Umang Gupta. Enhancing Categorization of Computer Science Research Papers using Knowledge Bases. [Slides] [Poster] Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR) at SIGIR. Aug 11, 2017. Tokyo, Japan.
• Short: Pavan K Verkicharla, Manish Gupta, Vinay Vemula, Anthony V Das, Ramesh Kekunnaya, Prashant Gupta. Prediction of refractive error using machine learning. [Slides] The 2nd World Congress of Optometry. Sep 11-13, 2017. Hyderabad, India.
• Short: Ankan Mullick, Pawan Goyal, Niloy Ganguly, Manish Gupta. Extracting Social Lists from Twitter. [Slides] The 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Jul 31-Aug 3, 2017. Sydney, Australia.
• Full: Nikhil Pattisapu, Manish Gupta, Ponnurangam Kumaraguru, Vasudeva Varma. Medical Persona Classification in Social Media. [Slides] The 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Jul 31-Aug 3, 2017. Sydney, Australia.
• Short: Shashank Gupta, Pulkit Parikh, Manish Gupta, Vasudeva Varma. Simultaneous Inference of User Representations and Trust. [Slides] The 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Jul 31-Aug 3, 2017. Sydney, Australia.
• Full: Ganesh J, Manish Gupta, Vasudeva Varma. Interpretation of Semantic Tweet Representations. [Slides] The 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Jul 31-Aug 3, 2017. Sydney, Australia.
• Workshop: Priya Radhakrishnan, Manish Gupta, Vasudeva Varma. New Entity Identification Approaches in Entity Linking Systems. [Slides] SIAM SDM Workshop: Women in Data Science. Apr 27, 2017. Houston, Texas, USA.
• Full: Priya Radhakrishnan, Manish Gupta, Vasudeva Varma, Ganesh Jawahar. SNEIT: Salient Named Entity Identification in Tweets. [Slides] [Poster] The 18th Intl. Conf. on Intelligent Text Processing and Computational Linguistics (CICLing). Apr 17–23, 2017. Budapest, Hungary.
• Full: Priya Radhakrishnan, Ganesh Jawahar, Manish Gupta, Vasudeva Varma. SNEIT: Salient Named Entity Identification in Tweets. Computación y Sistemas. Vol. 21, No. 4, 2017, pp. 665–679 .
• Short: Pinkesh Badjatiya, Shashank Gupta, Manish Gupta, Vasudeva Varma. Deep Learning for Hate Speech Detection in Tweets. [Poster]. The 26th Intl. World Wide Web Conf. (WWW 2017), Apr 3-7, 2017. Perth, Western Australia. (Best poster award)
• Short: Ganesh Jawahar, Manish Gupta, Vasudeva Varma. Improving Tweet Representations using Temporal and User Context [Slides] [Poster] . The 39th European Conf. on Information Retrieval (ECIR 2017), Apr 8-13, 2017. Aberdeen, Scotland UK.
• Workshop: Ayushi Dalmia, Manish Gupta, Vasudeva Varma. Query-based Evolutionary Graph Cuboid Outlier Detection [Slides]. The 6th IEEE ICDM Workshop on Data Mining in Networks (DaMNet 2016), Dec 12, 2016. Barcelona, Spain.
• Workshop: Ganesh Jawahar, Manish Gupta, Vasudeva Varma. Interpreting the Syntactic and Social Elements of the Tweet Representations via Elementary Property Prediction Tasks. [Poster] [Slides] Interpretable Machine Learning in Complex Systems Workshop at NIPS 2016, Dec 9, 2016. Barcelona, Spain.
• Short: Ganesh J, Manish Gupta, Vasudeva Varma. Doc2Sent2Vec: A Novel Two-Phase Approach for Learning Document Representation [Slides] [Poster]. The 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016), Jul 17-21, 2016. Pisa, Italy.
• Short: Ganesh J, Soumyajit Ganguly, Manish Gupta, Vasudeva Varma, Vikram Pudi. Author2Vec: Learning Author Representations by Combining Content and Link Information [Slides] [Poster]. The 25th International World Wide Web Conference (WWW 2016), Apr 11-15, 2016. Montreal, Canada.
• Full: Manish Gupta, Prashant Gupta, Pravin Vaddavalli, Asra Fatima. Predicting Post-Operative Visual Acuity for LASIK Surgeries [Slides]. The 20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2016), Apr 19-22, 2016. Auckland, New Zealand.
• Full: Ayushi Dalmia, Manish Gupta, Vasudeva Varma. Query-based Graph Cuboid Outlier Detection [Slides]. The 2015 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2015), Aug 24-28, 2015. Paris, France.
• Demo: Manish Gupta. CricketLinking: Linking Event Mentions from Cricket Match Reports to Ball Entities in Commentaries. [Poster] The 38th Annual ACM SIGIR Conf: Special Interest Group On Information Retrieval (SIGIR 2015 Demos), Aug 9 – 13, 2015. Santiago, Chile.
• Tutorial: Manish Gupta, Michael Bendersky. Information Retrieval with Verbose Queries. [Slides] The 38th Annual ACM SIGIR Conf: Special Interest Group On Information Retrieval (SIGIR 2015), Aug 9 – 13, 2015. Santiago, Chile.
• Workshop: Ayushi Dalmia, Manish Gupta, Vasudeva Varma. IIIT-H at SemEval 2015: Twitter Sentiment Analysis The good, the bad and the neutral!. The Intl. Workshop on Semantic Evaluation 2015 (SemEval 2015), Jun 4 – 5, 2015. Denver, Colorado.
• Workshop: Sandeep Panem, Manish Gupta, Vasudeva Varma. Structured Information Extraction from Natural Disaster Events on Twitter. [Slides] The 5th Intl. Workshop on Web-scale Knowledge Representation, Retrieval and Reasoning (Web-KR 2014), Nov 3 – 7, 2014. Shanghai, China.
• Workshop: Priya Radhakrishnan, Romil Bansal, Manish Gupta, Vasudeva Varma. Exploiting Wikipedia Inlinks for Linking Entities in Queries. [Poster] Entity Recognition and Disambiguation Challenge Workshop at the 37th Annual ACM SIGIR Conf: Special Interest Group On Information Retrieval (ERD 2014), Jul 11, 2014. Gold Coast, Australia.
• Short: K. Santosh, Aditya Joshi, Manish Gupta, Vasudeva Varma. Exploiting Wikipedia Categorization for Predicting Age and Gender of Blog Authors. [Slides] [Poster] The 22nd Conf. on User Modeling, Adaptation and Personalization (UMAP 2014), Jul 7-Jul 11, 2014. Aalborg, Denmark.
• Demo: Manish Gupta, Piyush Bansal, Vasudeva Varma. CharBoxes: A System for Automatic Discovery of Character Infoboxes from Books. [Slides] [5-minute Video] [Poster] The 37th Annual ACM SIGIR Conf: Special Interest Group On Information Retrieval (SIGIR 2014), Jul 6-Jul 11, 2014. Gold Coast, Australia.
• Short: Priya Radhakrishnan, Manish Gupta, Vasudeva Varma. Modeling the Evolution of Product Entities. [Poster] [Slides] The 37th Annual ACM SIGIR Conf: Special Interest Group On Information Retrieval (SIGIR 2014), Jul 6-Jul 11, 2014. Gold Coast, Australia.
• Workshop: Romil Bansal, Sandeep Panem, Priya Radhakrishnan, Manish Gupta, Vasudeva Varma. Linking Entities in #Microposts. [Slides] #Microposts Workshop at The 23rd International World Wide Web Conference (WWW 2014), Seoul, Korea
• Tutorial: Manish Gupta, Rui Li, Kevin Chen-Chuan Chang. Tutorial: Towards a Social Media Analytics Platform: Event Detection and User Profiling for Microblogs. [Slides] The 23rd International World Wide Web Conference (WWW 2014), Seoul, Korea.
• Short: Manish Gupta, Prashant Borole, Praful Hebbar, Rupesh Mehta, Niranjan Nayak. Cross Market Modeling for Query-Entity Matching. [Poster] [Slides] The 23rd International World Wide Web Conference (WWW 2014), Seoul, Korea
• Short: Romil Bansal, Sandeep Panem, Manish Gupta, Vasudeva Varma. EDIUM: Improving Entity Disambiguation via User Modeling. [Slides] [Poster] The 36th European Conference on Information Retrieval (ECIR 2014), Amsterdam, Netherlands
• Short: Sandeep Panem, Romil Bansal, Manish Gupta, Vasudeva Varma. Entity Tracking in Real-Time using Sub-Topic Detection on Twitter. [Slides] The 36th European Conference on Information Retrieval (ECIR 2014), Amsterdam, Netherlands
• Full: Manish Gupta, Arun Mallya, Subhro Roy, Jason H. D. Cho, Jiawei Han. Local Learning for Mining Outlier Subgraphs from Network Datasets. [Slides] The 2014 SIAM International Conference on Data Mining (SDM 2014), Philadelphia, Pennsylvania
• Journal: Manish Gupta, Jing Gao, Charu Aggarwal, Jiawei Han. Outlier Detection for Temporal Data. IEEE Trans. on Knowledge and Data Engineering (TKDE), Jan 2014
• Full: Manish Gupta, Jing Gao, Xifeng Yan, Hasan Cam, Jiawei Han. Top-K Interesting Subgraph Discovery in Information Networks. [Slides] The 30th IEEE International Conference on Data Engineering (ICDE 2014), Chicago, IL
• Tutorial: Manish Gupta, Jing Gao, Charu Aggarwal, Jiawei Han. Tutorial: Outlier Detection for Temporal Data. [Slides] The ACM International Conference on Information and Knowledge Management (CIKM 2013), San Francisco, CA
• Tutorial: Manish Gupta, Jing Gao, Charu Aggarwal, Jiawei Han. Tutorial: Outlier Detection for Graph Data. [Slides] Proc. of 2013 IEEE/ACM Int. Conf. on Social Networks Analysis and Mining (ASONAM’13), Niagara Falls, Canada
• Full: Manish Gupta, Jing Gao, Jiawei Han. Community Distribution Outlier Detection in Heterogeneous Information Networks. [Slides] [Poster] European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2013), Prague, Czech
• Journal: Yizhou Sun, Jie Tang, Jiawei Han, Cheng Chen, and Manish Gupta. Co-Evolution of Multi-Typed Objects in Dynamic Star Networks. IEEE Trans. on Knowledge and Data Engineering, June 2013
• Full: Manish Gupta, Jing Gao, Xifeng Yan, Hasan Cam, Jiawei Han. On Detecting Association-Based Clique Outliers in Heterogeneous Information Networks. [Slides] Proc. of 2013 IEEE/ACM Int. Conf. on Social Networks Analysis and Mining (ASONAM’13), Niagara Falls, Canada
• Thesis: Manish Gupta. PhD thesis: Outlier Detection for Information Networks. [Slides]
• Workshop: Manish Gupta, Abhishek Sharma, Haifeng Chen, Guofei Jiang. Context-Aware Time Series Anomaly Detection for Complex Systems. [Slides] SDM 2013 Workshop on Data Mining for Service and Maintenance, Austin, TX
• Tutorial: Manish Gupta, Jing Gao, Charu Aggarwal, Jiawei Han. Tutorial: Outlier Detection for Temporal Data. [Slides] The 2013 SIAM International Conference on Data Mining (SDM 2013), Austin, TX
• Full: Manish Gupta, Jing Gao, ChengXiang Zhai, Jiawei Han, “Predicting Future Popularity Trend of Events in Microblogging Platforms” [Slides] 75th Annual Meeting of American Society for Information Science & Technology (ASIS&T 2012), Baltimore, MD
• Full: Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han, “Community Trend Outlier Detection using Soft Temporal Pattern Mining” [Slides] European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2012), Bristol, UK
• Full: Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han, “Integrating Community Matching and Outlier Detection for Mining Evolutionary Community Outliers” [Slides] [Poster] [30-second Video] ACM SIGKDD Conf on Knowledge Discovery and Data Mining (KDD 2012), Beijing, China
• Full: Manish Gupta, Peixiang Zhao, Jiawei Han, “Evaluating Event Credibility on Twitter” [Slides] SIAM Intl. Conf. on Data Mining (SDM 2012) (Travel Grant Award), Anaheim, CA, USA
• Journal: Manish Gupta and Jiawei Han, “Heterogeneous Network-based Trust Analysis: A Survey” [Slides] SIGKDD Explorations 2011
• Full: Manish Gupta, Charu Aggarwal, Jiawei Han. “Finding Top-k Shortest Path Distance Changes in an Evolutionary Network” [Slides] International Symposium on Spatial and Temporal Databases (SSTD 2011) (Travel Grant Award), Minneapolis, MN, USA
• Full: Dong Wang, Tarek Abdelzaher, Hossein Ahmadi, Jeff Pasternack, Dan Roth, Manish Gupta, Jiawei Han, Omid Fatemieh, Hieu Le, Charu Aggrawal. “On Bayesian Interpretation of Fact-finding in Information Networks“International Conference on Information Fusion 2011 (Fusion ’11), Chicago, IL, USA
• Short: H. Khac Le, J. Pasternack, H. Ahmadi, M. Gupta, Y. Sun, T. Abdelzaher, J. Han, D. Roth, B. Szymanski, S. Adali. “Apollo: Towards Factfinding in Participatory Sensing” IPSN 2011, Chicago, IL, USA
• Full: Manish Gupta, Charu Aggarwal, Jiawei Han, Yizhou Sun. “Evolutionary Clustering and Analysis of Bibliographic Networks” [Slides] ASONAM 2011 (Best Paper award), Kaohsiung, Taiwan, News
• Full: Yizhou Sun, Rick Barber, Manish Gupta, Charu Aggarwal, Jiawei Han. “Co-Author Relationship Prediction in Heterogeneous Bibliographic Networks” ASONAM 2011, Kaohsiung, Taiwan
• Short: Manish Gupta, Yizhou Sun, Jiawei Han. “Trust Analysis with Clustering” [Slides] WWW 2011, Hyderabad, India
• Journal: Soumen Chakrabarti, Amit Pathak, Manish Gupta. “Index design and query processing for graph conductance search” VLDB Journal 2010
• Journal: Manish Gupta, Rui Li, Zhijun Yin, and Jiawei Han, “Survey on Social Tagging Techniques” [Slides] SIGKDD Explorations 2010
• Full: Parikshit Sondhi, Manish Gupta, ChengXiang Zhai and Julia Hockenmaier. “Shallow Information Extraction from Medical Forum Data” COLING 2010, Beijing, China
• Workshop: Yizhou Sun, Jie Tang, Jiawei Han, Manish Gupta, and Bo Zhao. “Community Evolution Detection in Dynamic Heterogeneous Information Networks.” MLG 2010, Washington D.C
• Full: Zhijun Yin, Manish Gupta, Tim Weninger, and Jiawei Han. “A Unified Framework for Link Recommendation Using Random Walks” [Slides] ASONAM 2010, Odense, Denmark
• Full: Zhijun Yin, Manish Gupta, Tim Weninger, and Jiawei Han. “LINKREC: A Unified Framework for Link Recommendation with User Attributes and Graph Structure” WWW 2010, Raleigh, North Carolina, USA
• Short: Manish Gupta: “Predicting CTR for a job listing” [Slides] WWW 2009, Madrid, Spain
• Short: Manish Gupta, Amit Pathak, Soumen Chakrabarti: “Fast algorithms for top-k personalized pagerank queries” [Slides] WWW 2008, Beijing, China
• Short: Amit Pathak, Soumen Chakrabarti, Manish Gupta: “Index Design for Dynamic Personalized PageRank” [Slides] ICDE 2008, Cancun, Mexico
• Journal: Sandeep Deshmukh, Sanjeet Khaitan, Debasish Das, Manish Gupta, Pramod P Wangikar: “An Alignment-Free Method for Classification of Protein Sequences” Protein and Peptide Letters, July 2007