Population-Aligned Persona Generation for LLM-based Social Simulation
Zhengyu Hu, Zheyuan Xiao, Max Xiong, Yuxuan Lei, Tianfu Wang, Jianxun Lian, Kaize Ding, Ziang Xiao, Nicholas Jing Yuan, Xing Xie
September 2025
Jianxun Lian
Principal Researcher
论文与出版物
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Pretraining Context Compressor for Large Language Models with Embedding-Based Memory
Yuhong Dai, Jianxun Lian, Yitian Huang, Wei Zhang, Mingyang Zhou, Mingqi Wu, Xing Xie, Hao Liao
ACL 2025 | July 2025
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SocialCC: Interactive Evaluation for Cultural Competence in Language Agents
Jincenzi Wu, Jianxun Lian, DingDong Wang, Helen Meng
ACL 2025 | July 2025
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Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study
Zhengyu Hu, Jianxun Lian, Zheyuan Xiao, Seraphina Zhang, Tianfu Wang, Nicholas Jing Yuan, Xing Xie, Hui Xiong
NeurIPS 2025 | June 2025
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Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach
Yuchen Wu, Edward Sun, Kaijie Zhu, Jianxun Lian, José Hernández-Orallo, Aylin Caliskan, Jindong Wang
NeurIPS 2025 | May 2025
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The Good, The Bad, and Why: Unveiling Emotions in Generative AI
Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie
ICML 2024 | December 2023
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Towards Better Entity Linking with Multi-View Enhanced Distillation
Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Denvy Deng, Qi Zhang
ACL 2023 | July 2023
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Distillation from Heterogeneous Models for Top-K Recommendation
SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
The Web Conference 2023 | April 2023
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Towards Explainable Collaborative Filtering with Taste Clusters Learning
Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
the Web Conference 2023 | April 2023
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xGCN An Extreme Graph Convolutional Network for Large-scale Social Link Prediction
Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin
The Web Conference 2023 | April 2023
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Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation
Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong (YIMING), Linjun Shou (寿林钧), Xing Xie, Yinliang Yue
CIKM 2022 | October 2022
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Friend Recommendations with Self-Rescaling Graph Neural Networks
Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie
KDD 2022 | August 2022
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Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation
Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
SIGIR 2022 | July 2022
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Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads
Chaozhuo Li, Bochen Pang, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang
KDD 2022 | June 2022
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Reinforcement Subgraph Reasoning for Fake News Detection
Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | June 2022
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Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks
Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie
February 2022
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Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations
Yu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Hai Jin, Xing Xie
WSDM 2022 | February 2022
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Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning
Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie
KDD 2021 | August 2021
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Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation
Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-Rong Wen
SIGIR 2021 short paper | July 2021
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Self-supervised Graph Learning for Recommendation
Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
SIGIR 2021 | July 2021
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KRED: Knowledge-Aware Document Representation for News Recommendations
Danyang Liu, Jianxun Lian, Shiyin Wang, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie
RecSys 2020 | September 2020
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MIND: A Large-scale Dataset for News Recommendation
Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou
ACL 2020 | July 2020
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Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates
Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie
SIGIR 2020 | July 2020
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LightRec: A Memory and Search-Efficient Recommender System
Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie
The Web Conference 2020 | April 2020
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Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation
Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing Xie
CIKM 2019 - International Conference on Information and Knowledge Management | November 2019
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News Graph: An Enhanced Knowledge Graph for News Recommendation
Danyang Liu, Ting Bai, Jianxun Lian, Guangzhong Sun, Wayne Xin Zhao, Ji-Rong Wen, Xing Xie
KARS 2019 - Second workshop on knowledge-aware recommender systems. | November 2019
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Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation
Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie
International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
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Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie
International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
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xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | August 2018
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Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
International Joint Conferences on Artificial Intelligence (IJCAI) | July 2018
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Practical lessons for job recommendations in the cold-start scenario
Jianxun Lian, Fuzheng Zhang, Min Hou, Hongwei Wang, Xing Xie, Guangzhong Sun
Recommender Systems Challenge 2017 | August 2017
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A multifaceted model for cross domain recommendation systems
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
Knowledge Science, Engineering and Management (KSEM 2017) | July 2017
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CCCFNet: a content-boosted collaborative filtering neural network for cross domain recommender systems
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
International Conference on World Wide Web (WWW'17 Companion) | April 2017
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Restaurant survival analysis with heterogeneous information
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
International Conference on World Wide Web (WWW'17 Companion) | April 2017
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Cross-device user matching based on massive browse logs: The runner-up solution for the 2016 CIKM Cup
July 2016
Presented at the workshop of 2016 CIKM Cup
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Content-based collaborative filtering for news topic recommendation
Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang
Twenty-ninth AAAI conference on artificial intelligence (AAAI'15) | February 2015
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SocialCC: Interactive Evaluation for Cultural Competence in Language Agents
Jincenzi Wu, Jianxun Lian, DingDong Wang, Helen Meng
ACL 2025 | July 2025
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Pretraining Context Compressor for Large Language Models with Embedding-Based Memory
Yuhong Dai, Jianxun Lian, Yitian Huang, Wei Zhang, Mingyang Zhou, Mingqi Wu, Xing Xie, Hao Liao
ACL 2025 | July 2025
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Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study
Zhengyu Hu, Jianxun Lian, Zheyuan Xiao, Seraphina Zhang, Tianfu Wang, Nicholas Jing Yuan, Xing Xie, Hui Xiong
NeurIPS 2025 | June 2025
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Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach
Yuchen Wu, Edward Sun, Kaijie Zhu, Jianxun Lian, José Hernández-Orallo, Aylin Caliskan, Jindong Wang
NeurIPS 2025 | May 2025
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The Good, The Bad, and Why: Unveiling Emotions in Generative AI
Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie
ICML 2024 | December 2023
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Towards Better Entity Linking with Multi-View Enhanced Distillation
Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Denvy Deng, Qi Zhang
ACL 2023 | July 2023
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Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation
Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong (YIMING), Linjun Shou (寿林钧), Xing Xie, Yinliang Yue
CIKM 2022 | October 2022
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Reinforcement Subgraph Reasoning for Fake News Detection
Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | June 2022
-
Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks
Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie
February 2022
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Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations
Yu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Hai Jin, Xing Xie
WSDM 2022 | February 2022
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Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning
Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie
KDD 2021 | August 2021
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Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation
Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-Rong Wen
SIGIR 2021 short paper | July 2021
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KRED: Knowledge-Aware Document Representation for News Recommendations
Danyang Liu, Jianxun Lian, Shiyin Wang, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie
RecSys 2020 | September 2020
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Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates
Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie
SIGIR 2020 | July 2020
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MIND: A Large-scale Dataset for News Recommendation
Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou
ACL 2020 | July 2020
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LightRec: A Memory and Search-Efficient Recommender System
Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie
The Web Conference 2020 | April 2020
-
Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation
Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing Xie
CIKM 2019 - International Conference on Information and Knowledge Management | November 2019
-
News Graph: An Enhanced Knowledge Graph for News Recommendation
Danyang Liu, Ting Bai, Jianxun Lian, Guangzhong Sun, Wayne Xin Zhao, Ji-Rong Wen, Xing Xie
KARS 2019 - Second workshop on knowledge-aware recommender systems. | November 2019
-
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie
International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
-
Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation
Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie
International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
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xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | August 2018
-
Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
International Joint Conferences on Artificial Intelligence (IJCAI) | July 2018
-
Practical lessons for job recommendations in the cold-start scenario
Jianxun Lian, Fuzheng Zhang, Min Hou, Hongwei Wang, Xing Xie, Guangzhong Sun
Recommender Systems Challenge 2017 | August 2017
-
A multifaceted model for cross domain recommendation systems
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
Knowledge Science, Engineering and Management (KSEM 2017) | July 2017
-
Restaurant survival analysis with heterogeneous information
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
International Conference on World Wide Web (WWW'17 Companion) | April 2017
-
CCCFNet: a content-boosted collaborative filtering neural network for cross domain recommender systems
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
International Conference on World Wide Web (WWW'17 Companion) | April 2017
-
Cross-device user matching based on massive browse logs: The runner-up solution for the 2016 CIKM Cup
July 2016
Presented at the workshop of 2016 CIKM Cup
-
Content-based collaborative filtering for news topic recommendation
Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang
Twenty-ninth AAAI conference on artificial intelligence (AAAI'15) | February 2015
-
-
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Population-Aligned Persona Generation for LLM-based Social Simulation
Zhengyu Hu, Zheyuan Xiao, Max Xiong, Yuxuan Lei, Tianfu Wang, Jianxun Lian, Kaize Ding, Ziang Xiao, Nicholas Jing Yuan, Xing Xie
September 2025
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Towards Better Entity Linking with Multi-View Enhanced Distillation
Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Denvy Deng, Qi Zhang
ACL 2023 | July 2023
-
Distillation from Heterogeneous Models for Top-K Recommendation
SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
The Web Conference 2023 | April 2023
-
Towards Explainable Collaborative Filtering with Taste Clusters Learning
Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
the Web Conference 2023 | April 2023
-
xGCN An Extreme Graph Convolutional Network for Large-scale Social Link Prediction
Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin
The Web Conference 2023 | April 2023
-
Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation
Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong (YIMING), Linjun Shou (寿林钧), Xing Xie, Yinliang Yue
CIKM 2022 | October 2022
-
Friend Recommendations with Self-Rescaling Graph Neural Networks
Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie
KDD 2022 | August 2022
-
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation
Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
SIGIR 2022 | July 2022
-
Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads
Chaozhuo Li, Bochen Pang, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang
KDD 2022 | June 2022
-
Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning
Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie
KDD 2021 | August 2021
-
Self-supervised Graph Learning for Recommendation
Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
SIGIR 2021 | July 2021
-
Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation
Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-Rong Wen
SIGIR 2021 short paper | July 2021
-
KRED: Knowledge-Aware Document Representation for News Recommendations
Danyang Liu, Jianxun Lian, Shiyin Wang, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie
RecSys 2020 | September 2020
-
Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates
Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie
SIGIR 2020 | July 2020
-
LightRec: A Memory and Search-Efficient Recommender System
Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie
The Web Conference 2020 | April 2020
-
Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation
Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing Xie
CIKM 2019 - International Conference on Information and Knowledge Management | November 2019
-
News Graph: An Enhanced Knowledge Graph for News Recommendation
Danyang Liu, Ting Bai, Jianxun Lian, Guangzhong Sun, Wayne Xin Zhao, Ji-Rong Wen, Xing Xie
KARS 2019 - Second workshop on knowledge-aware recommender systems. | November 2019
-
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie
International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
-
Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation
Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie
International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
-
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | August 2018
-
Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
International Joint Conferences on Artificial Intelligence (IJCAI) | July 2018
-
Practical lessons for job recommendations in the cold-start scenario
Jianxun Lian, Fuzheng Zhang, Min Hou, Hongwei Wang, Xing Xie, Guangzhong Sun
Recommender Systems Challenge 2017 | August 2017
-
A multifaceted model for cross domain recommendation systems
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
Knowledge Science, Engineering and Management (KSEM 2017) | July 2017
-
Restaurant survival analysis with heterogeneous information
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
International Conference on World Wide Web (WWW'17 Companion) | April 2017
-
CCCFNet: a content-boosted collaborative filtering neural network for cross domain recommender systems
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
International Conference on World Wide Web (WWW'17 Companion) | April 2017
-
Content-based collaborative filtering for news topic recommendation
Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang
Twenty-ninth AAAI conference on artificial intelligence (AAAI'15) | February 2015
-
-
-
MIND: A Large-scale Dataset for News Recommendation
Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou
ACL 2020 | July 2020
-
-
-
Cross-device user matching based on massive browse logs: The runner-up solution for the 2016 CIKM Cup
July 2016
Presented at the workshop of 2016 CIKM Cup
-
-
-
SocialCC: Interactive Evaluation for Cultural Competence in Language Agents
Jincenzi Wu, Jianxun Lian, DingDong Wang, Helen Meng
ACL 2025 | July 2025
-
Pretraining Context Compressor for Large Language Models with Embedding-Based Memory
Yuhong Dai, Jianxun Lian, Yitian Huang, Wei Zhang, Mingyang Zhou, Mingqi Wu, Xing Xie, Hao Liao
ACL 2025 | July 2025
-
Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study
Zhengyu Hu, Jianxun Lian, Zheyuan Xiao, Seraphina Zhang, Tianfu Wang, Nicholas Jing Yuan, Xing Xie, Hui Xiong
NeurIPS 2025 | June 2025
-
Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach
Yuchen Wu, Edward Sun, Kaijie Zhu, Jianxun Lian, José Hernández-Orallo, Aylin Caliskan, Jindong Wang
NeurIPS 2025 | May 2025
-
The Good, The Bad, and Why: Unveiling Emotions in Generative AI
Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie
ICML 2024 | December 2023
-
Towards Better Entity Linking with Multi-View Enhanced Distillation
Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Denvy Deng, Qi Zhang
ACL 2023 | July 2023
-
Distillation from Heterogeneous Models for Top-K Recommendation
SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
The Web Conference 2023 | April 2023
-
Towards Explainable Collaborative Filtering with Taste Clusters Learning
Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
the Web Conference 2023 | April 2023
-
xGCN An Extreme Graph Convolutional Network for Large-scale Social Link Prediction
Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin
The Web Conference 2023 | April 2023
-
Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation
Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong (YIMING), Linjun Shou (寿林钧), Xing Xie, Yinliang Yue
CIKM 2022 | October 2022
-
Friend Recommendations with Self-Rescaling Graph Neural Networks
Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie
KDD 2022 | August 2022
-
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation
Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
SIGIR 2022 | July 2022
-
Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads
Chaozhuo Li, Bochen Pang, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang
KDD 2022 | June 2022
-
Reinforcement Subgraph Reasoning for Fake News Detection
Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | June 2022
-
Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks
Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie
February 2022
-
Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations
Yu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Hai Jin, Xing Xie
WSDM 2022 | February 2022
-
Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning
Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie
KDD 2021 | August 2021
-
Self-supervised Graph Learning for Recommendation
Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
SIGIR 2021 | July 2021
-
Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation
Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-Rong Wen
SIGIR 2021 short paper | July 2021
-
KRED: Knowledge-Aware Document Representation for News Recommendations
Danyang Liu, Jianxun Lian, Shiyin Wang, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie
RecSys 2020 | September 2020
-
Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates
Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie
SIGIR 2020 | July 2020
-
MIND: A Large-scale Dataset for News Recommendation
Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou
ACL 2020 | July 2020
-
LightRec: A Memory and Search-Efficient Recommender System
Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie
The Web Conference 2020 | April 2020
-
Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation
Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing Xie
CIKM 2019 - International Conference on Information and Knowledge Management | November 2019
-
News Graph: An Enhanced Knowledge Graph for News Recommendation
Danyang Liu, Ting Bai, Jianxun Lian, Guangzhong Sun, Wayne Xin Zhao, Ji-Rong Wen, Xing Xie
KARS 2019 - Second workshop on knowledge-aware recommender systems. | November 2019
-
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie
International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
-
Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation
Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie
International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
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xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | August 2018
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Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
International Joint Conferences on Artificial Intelligence (IJCAI) | July 2018
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Practical lessons for job recommendations in the cold-start scenario
Jianxun Lian, Fuzheng Zhang, Min Hou, Hongwei Wang, Xing Xie, Guangzhong Sun
Recommender Systems Challenge 2017 | August 2017
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A multifaceted model for cross domain recommendation systems
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
Knowledge Science, Engineering and Management (KSEM 2017) | July 2017
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Restaurant survival analysis with heterogeneous information
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
International Conference on World Wide Web (WWW'17 Companion) | April 2017
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CCCFNet: a content-boosted collaborative filtering neural network for cross domain recommender systems
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
International Conference on World Wide Web (WWW'17 Companion) | April 2017
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Content-based collaborative filtering for news topic recommendation
Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang
Twenty-ninth AAAI conference on artificial intelligence (AAAI'15) | February 2015
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Population-Aligned Persona Generation for LLM-based Social Simulation
Zhengyu Hu, Zheyuan Xiao, Max Xiong, Yuxuan Lei, Tianfu Wang, Jianxun Lian, Kaize Ding, Ziang Xiao, Nicholas Jing Yuan, Xing Xie
September 2025
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Cross-device user matching based on massive browse logs: The runner-up solution for the 2016 CIKM Cup
July 2016
Presented at the workshop of 2016 CIKM Cup
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