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Data platforms and analytics

TaskWeaver: A code-first agent framework for efficient data analytics and domain adaptation

Garnet: an open-source, next-generation, faster cache-store for accelerating applications and services

GenAI for Industry - AI-generated image compilation of industrial blueprints from renewable energy to transporation and manufacturing

Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning

Enhanced autoscaling with VASIM: Vertical Autoscaling Simulator Toolkit

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Published Date

Publication

Chartem: Reviving Chart Images with Data Embedding

Jiayun Fu, Bin Benjamin Zhu, Weiwei Cui, Song Ge, Yun Wang, Haidong Zhang, Ray Huang, Yuanyuan Tang, Dongmei Zhang, Xiaojing Ma

IEEE Transactions on Visualization and Computer Graphics | November 2020

Publication

Unearthing inter-job dependencies for better cluster scheduling

Andrew Chung, Subru Krishnan, Konstantinos Karanasos, Carlo Curino, Gregory R. Ganger

Symposium on Operating Systems Design and Implementation (OSDI) | November 2020

Publication

Efficient Customer Incident Triage via Linking with System Incidents

Jiazhen Gu, Jiaqi Wen, Zijian Wang, Pu Zhao, Chuan Luo, Yu Kang, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Bo Qiao, Liqun Li, Qingwei Lin, Dongmei Zhang

The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE’20 Industry) | November 2020

Publication

Cold Item Recommendations via Hierarchical Item2vec

Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein

2020 IEEE International Conference on Data Mining (ICDM) | October 2020

Publication

An Integrated Approach of Deep Learning and Symbolic Analysis for Digital PDF Table Extraction

Mengshi Zhang, Daniel Perelman, Vu Le, Sumit Gulwani

International Conference on Pattern Recognition | October 2020

Project Project

Publication

Intelligent Virtual Machine Provisioning in Cloud Computing

Chuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, Qingwei Lin 林庆维

IJCAI 2020 | October 2020

Project

Publication

Two-goal Local Search and Inference Rules for Minimum Dominating Set

Shaowei Cai, …, Qingwei Lin 林庆维

IJCAI 2020 | October 2020

Project

Sublinear Approximation for Large-scale Data Science

One challenge in large scale data science is that even linear algorithms can result in large data processing cost and long latency, which limit the interactivity of the system and the productivity of data scientists.…

Publication

Gradient Flows in Dataset Space

David Alvarez-Melis, Nicolo Fusi

October 2020

Project

Publication

Neural Formatting for Spreadsheet Tables

Haoyu Dong, Jinyu Wang, Zhouyu Fu, Shi Han, Dongmei Zhang

CIKM’20 (among five best paper nominees in full research track) | October 2020

Project

Data platforms and analytics

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