FXAM: A unified and fast interpretable model for predictive analytics
Yuanyuan Jiang, Rui Ding, Tianchi Qiao, Yunan Zhu, Shi Han, Dongmei Zhang
Expert Systems with Applications | October 2024, Vol 252
Shi Han
SR. Principal Research Manager
Publications
Publications by Year
-
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior
Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2024
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang
The 17th ACM International Conference on Web Search and Data Mining (WSDM '24) | March 2024
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI '24) | February 2024
-
CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
Empirical Software Engineering | October 2023
Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
KDD 2023 | August 2023
HermEs: Interactive Spreadsheet Formula Prediction via Hierarchical Formulet Expansion
Wanrong He, Haoyu Dong, Yihuai Gao, Zhichao Fan, Xingzhuo Guo, Zhitao Hou, Xiao Lv, Ran Jia, Shi Han, Dongmei Zhang
ACL 2023 MainTrack | July 2023
XInsight: eXplainable Data Analysis Through The Lens of Causality
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2023 International Conference on Management of Data | June 2023
AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang
The 61st Annual Meeting of the Association for Computational Linguistics (ACL '23) | May 2023
CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang
The Eleventh International Conference on Learning Representations (ICLR '23) | May 2023
Homophily-oriented Heterogeneous Graph Rewiring
Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
The Web Conference (WWW'23) | April 2023
Robust Mid-Pass Filtering Graph Convolutional Networks
Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
The Web Conference (WWW'23) | April 2023
ML4C: Seeing Causality Through Latent Vicinity
Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang
2023 SIAM International Conference on Data Mining | April 2023
-
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
Neuron with Steady Response Leads to Better Generalization
Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS'22) | December 2022
ML4S: Learning Causal Skeleton from Vicinal Graphs
Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
pureGAM: Learning an Inherently Pure Additive Model
Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation
Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD'22) | August 2022
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
IJCAI'2022 SURVEY TRACK | July 2022
Accelerating Code Search with Deep Hashing and Code Classification
Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu
ACL 2022 | May 2022
FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining
Zhoujun Cheng, Haoyu Dong, Fan Cheng, Ran Jia, Pengfei Wu, Shi Han, Dongmei Zhang
ACL 2022 | May 2022
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
ACL 2022 Main Track | May 2022
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation
Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang
EMNLP'22 Main Track | May 2022
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data
Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Shi Han, Dongmei Zhang
EMNLP'22 Oral | May 2022
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily
Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang
TheWebConf 2022 | April 2022
On the Evaluation of Neural Code Summarization
Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun
International Conference on Software Engineering (ICSE'22) | February 2022
-
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
EMNLP 2021 | November 2021
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search
Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang
Proceedings of ACM International Conference on Information and Knowledge Management (CIKM'21) | November 2021
Neuron Campaign for Initialization Guided by Information Bottleneck Theory
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
2021 Conference on Information and Knowledge Management | November 2021
Best Short Paper Award
Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data
Lun Du, Fei Gao, Xu Chen, Ran Jia (raji), Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD'21) | August 2021
TUTA: Tree-based Transformers for Generally Structured Table Pre-training
Zhiruo Wang, Haoyu Dong, Ran Jia (raji), Jia Li, Zhiyi Fu, Shi Han (shihan), Dongmei Zhang (dongmeiz)
KDD | August 2021
On the Evaluation of Commit Message Generation Models: An Experimental Study
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
Proceedings of IEEE International Conference on Software Maintenance and Evolution (ICSME '21) | July 2021
Semantic Table Structure Identification in Spreadsheets
Yakun Zhang, Xiao Lv, Haoyu Dong, Wensheng Dou, Shi Han, Dongmei Zhang, Jun Wei, Ye Dan
ISSTA | July 2021
MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis
Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang
ACM SIGMOD International Conference on Management of Data | June 2021
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective
Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang
Proceedings of International Conference on Web Search and Data Mining (WSDM'22) | May 2021
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries
Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang
ICSE 2022 | April 2021
-
Structure-aware Pre-training for Table Understanding with Tree-based Transformers
Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang
arXiv | October 2020
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
Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture
Haoyu Dong, Jiong Yang, Shi Han, Dongmei Zhang
CIKM'20 (applied research track) | October 2020
CoCoGUM: Contextual Code Summarization with Multi-Relational GNN on UMLs
Yanlin Wang, Lun Du, Ensheng Shi, Yuxuan Hu, Shi Han, Dongmei Zhang
MSR-TR-2020-16 | May 2020
Published by Microsoft
Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
To appear in proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20) | February 2020
Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
Thirty-Fourth AAAI Conference on Artificial Intelligence | February 2020
Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data
Mengyu Zhou, Tao Wang, Pengxin Ji, Shi Han, Dongmei Zhang
The 34th AAAI Conference on Artificial Intelligence (AAAI '20) | February 2020
-
Semantic Structure Extraction for Spreadsheet Tables with a Multi-task Learning Architecture
Haoyu Dong, Shijie Liu, Zhouyu Fu, Shi Han, Dongmei Zhang
Workshop on Document Intelligence (DI 2019) at NeurIPS 2019 | December 2019
QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data
Rui Ding, Shi Han, Yong Xu, Haidong Zhang, Dongmei Zhang
Proceedings of the 2019 ACM International Conference on Management of Data (SIGMOD'19 industrial track) | June 2019
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks
Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19) | January 2019
-
Automated Refactoring of Nested-IF Formulae in Spreadsheets
Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang
Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE'18 industrial track) | November 2018
Expandable Group Identification in Spreadsheets
Wensheng Dou, Shi Han, Liang Xu, Dongmei Zhang, Jun Wei
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering (ASE'18) | September 2018
Systematically Ensuring The Confidence of Real Time Home Automation IoT Systems
Lei Bu, Wen Xiong, Chieh-Jan Mike Liang, Shi Han, Shan Lin, Dongmei Zhang, Xuandong Li
TCPS (ACM Transactions on Cyber-Physical Systems) | June 2018
-
Precise Condition Synthesis for Program Repair
Yingfei Xiong, Jie Wang, Runfa Yan, Jiachen Zhang, Shi Han, Gang Huang, Lu Zhang
ICSE '17 Proceedings of the 39th International Conference on Software Engineering | May 2017
ISBN: 978-1-5386-3868-2
Extracting Top-K Insights from Multi-dimensional Data
Bo Tang, Shi Han, Man Lung Yiu, Rui Ding, Dongmei Zhang
Proceedings of the 2017 ACM International Conference on Management of Data (SIGMOD'17) | May 2017
-
Systematically Debugging IoT Control System Correctness for Building Automation
Chieh-Jan Mike Liang, Lei Bu, Zhao Lucis Li, Junbei Zhang, Shi Han, Börje F. Karlsson, Dongmei Zhang, Feng Zhao
BuildSys (ACM Conference on Systems for Energy-Efficient Built Environments) | November 2016
-
Uncovering JavaScript Performance Code Smells Relevant to Type Mutations
Xiao Xiao, Shi Han, Charles Zhang, Dongmei Zhang
Proceedings of the 13th Asian Symposium on Programming Languages and Systems (APLAS 2015) | November 2015
ISBN: 978-3-319-26528-5
-
Comprehending Performance from Real-World Execution Traces: A Device-Driver Case
Xiao Yu, Shi Han, Dongmei Zhang, Tao Xie
ASPLOS 2014 | March 2014
-
Software Analytics in Practice
Dongmei Zhang, Shi Han, Yingnong Dang, Jian-Guang Lou, Haidong Zhang, Tao Xie
IEEE Software, Special Issue on the Many Faces of Software Analytics | October 2013
Context-Sensitive Delta Inference for Identifying Workload-Dependent Performance Bottlenecks
Xusheng Xiao, Shi Han, Tao Xie, Dongmei Zhang
ISSTA 2013 | July 2013
-
Performance Debugging in the Large via Mining Millions of Stack Traces
Shi Han, Yingnong Dang, Song Ge, Dongmei Zhang, Tao Xie
June 2012
Teaching and Training for Software Analytics
Dongmei Zhang, Yingnong Dang, Shi Han, Tao Xie
Proceedings of the 25th IEEE Conference on Software Engineering Education and Training (CSEE&T 2012) | April 2012
ISBN: 978-1-4673-1592-0
-
Software Analytics as a Learning Case in Practice: Approaches and Experiences
Dongmei Zhang, Yingnong Dang, Jian-Guang Lou, Shi Han, Haidong Zhang, Tao Xie
November 2011
-
A Unified Framework for Recognizing Handwritten Chemical Expressions
Ming Chang, Shi Han, Dongmei Zhang
Proceedings of the 10th International Conference on Document Analysis and Recognition (ICDAR 2009) | July 2009
ISBN: 978-0-7695-3725-2
-
Systematic Multi-Path HMM Topology Design for Online Handwriting Recognition of East Asian Characters
Shi Han, Ming Chang, Yu Zou, Xinjian Chen, Dongmei Zhang
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007) | September 2007
ISBN: 978-0-7695-2822-9
-
Automatic Real-Time Barcode Localization in Complex Scenes
Chunhui Zhang, Jian Wang, Shi Han, Mo Yi, Zhengyou Zhang
Proceedings of the International Conference on Image Processing (ICIP 2006) | October 2006
ISBN: 1-4244-0480-0
Super-Resolution of 3D Face
Gang Pan, Shi Han, Zhaohui Wu, Yueming Wang
Proceedings of the 9th European Conference on Computer Vision (ECCV 2006) | May 2006
ISBN: 3-540-33834-9
-
3D Face Recognition using Mapped Depth Images
Gang Pan, Shi Han, Zhaohui Wu, Yueming Wang
Proceedings of the 2005 IEEE Workshop on Face Recognition Grand Challenge (FRGC 2005), in conjunction with CVPR 2005 | September 2005
ISBN: 0-7695-2372-2
Publications by Research Area
-
FXAM: A unified and fast interpretable model for predictive analytics
Yuanyuan Jiang, Rui Ding, Tianchi Qiao, Yunan Zhu, Shi Han, Dongmei Zhang
Expert Systems with Applications | October 2024, Vol 252
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior
Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2024
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang
The 17th ACM International Conference on Web Search and Data Mining (WSDM '24) | March 2024
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI '24) | February 2024
CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
Empirical Software Engineering | October 2023
HermEs: Interactive Spreadsheet Formula Prediction via Hierarchical Formulet Expansion
Wanrong He, Haoyu Dong, Yihuai Gao, Zhichao Fan, Xingzhuo Guo, Zhitao Hou, Xiao Lv, Ran Jia, Shi Han, Dongmei Zhang
ACL 2023 MainTrack | July 2023
XInsight: eXplainable Data Analysis Through The Lens of Causality
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2023 International Conference on Management of Data | June 2023
AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang
The 61st Annual Meeting of the Association for Computational Linguistics (ACL '23) | May 2023
CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang
The Eleventh International Conference on Learning Representations (ICLR '23) | May 2023
Homophily-oriented Heterogeneous Graph Rewiring
Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
The Web Conference (WWW'23) | April 2023
Robust Mid-Pass Filtering Graph Convolutional Networks
Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
The Web Conference (WWW'23) | April 2023
ML4C: Seeing Causality Through Latent Vicinity
Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang
2023 SIAM International Conference on Data Mining | April 2023
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
Neuron with Steady Response Leads to Better Generalization
Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS'22) | December 2022
pureGAM: Learning an Inherently Pure Additive Model
Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
ML4S: Learning Causal Skeleton from Vicinal Graphs
Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation
Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD'22) | August 2022
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
IJCAI'2022 SURVEY TRACK | July 2022
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation
Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang
EMNLP'22 Main Track | May 2022
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data
Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Shi Han, Dongmei Zhang
EMNLP'22 Oral | May 2022
FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining
Zhoujun Cheng, Haoyu Dong, Fan Cheng, Ran Jia, Pengfei Wu, Shi Han, Dongmei Zhang
ACL 2022 | May 2022
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
ACL 2022 Main Track | May 2022
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily
Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang
TheWebConf 2022 | April 2022
On the Evaluation of Neural Code Summarization
Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun
International Conference on Software Engineering (ICSE'22) | February 2022
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
EMNLP 2021 | November 2021
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search
Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang
Proceedings of ACM International Conference on Information and Knowledge Management (CIKM'21) | November 2021
Neuron Campaign for Initialization Guided by Information Bottleneck Theory
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
2021 Conference on Information and Knowledge Management | November 2021
Best Short Paper Award
Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data
Lun Du, Fei Gao, Xu Chen, Ran Jia (raji), Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD'21) | August 2021
TUTA: Tree-based Transformers for Generally Structured Table Pre-training
Zhiruo Wang, Haoyu Dong, Ran Jia (raji), Jia Li, Zhiyi Fu, Shi Han (shihan), Dongmei Zhang (dongmeiz)
KDD | August 2021
Semantic Table Structure Identification in Spreadsheets
Yakun Zhang, Xiao Lv, Haoyu Dong, Wensheng Dou, Shi Han, Dongmei Zhang, Jun Wei, Ye Dan
ISSTA | July 2021
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective
Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang
Proceedings of International Conference on Web Search and Data Mining (WSDM'22) | May 2021
Structure-aware Pre-training for Table Understanding with Tree-based Transformers
Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang
arXiv | October 2020
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
Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture
Haoyu Dong, Jiong Yang, Shi Han, Dongmei Zhang
CIKM'20 (applied research track) | October 2020
Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
To appear in proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20) | February 2020
Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data
Mengyu Zhou, Tao Wang, Pengxin Ji, Shi Han, Dongmei Zhang
The 34th AAAI Conference on Artificial Intelligence (AAAI '20) | February 2020
Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
Thirty-Fourth AAAI Conference on Artificial Intelligence | February 2020
Semantic Structure Extraction for Spreadsheet Tables with a Multi-task Learning Architecture
Haoyu Dong, Shijie Liu, Zhouyu Fu, Shi Han, Dongmei Zhang
Workshop on Document Intelligence (DI 2019) at NeurIPS 2019 | December 2019
QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data
Rui Ding, Shi Han, Yong Xu, Haidong Zhang, Dongmei Zhang
Proceedings of the 2019 ACM International Conference on Management of Data (SIGMOD'19 industrial track) | June 2019
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks
Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19) | January 2019
A Unified Framework for Recognizing Handwritten Chemical Expressions
Ming Chang, Shi Han, Dongmei Zhang
Proceedings of the 10th International Conference on Document Analysis and Recognition (ICDAR 2009) | July 2009
ISBN: 978-0-7695-3725-2
Systematic Multi-Path HMM Topology Design for Online Handwriting Recognition of East Asian Characters
Shi Han, Ming Chang, Yu Zou, Xinjian Chen, Dongmei Zhang
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007) | September 2007
ISBN: 978-0-7695-2822-9
Automatic Real-Time Barcode Localization in Complex Scenes
Chunhui Zhang, Jian Wang, Shi Han, Mo Yi, Zhengyou Zhang
Proceedings of the International Conference on Image Processing (ICIP 2006) | October 2006
ISBN: 1-4244-0480-0
-
FXAM: A unified and fast interpretable model for predictive analytics
Yuanyuan Jiang, Rui Ding, Tianchi Qiao, Yunan Zhu, Shi Han, Dongmei Zhang
Expert Systems with Applications | October 2024, Vol 252
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang
The 17th ACM International Conference on Web Search and Data Mining (WSDM '24) | March 2024
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI '24) | February 2024
Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
KDD 2023 | August 2023
XInsight: eXplainable Data Analysis Through The Lens of Causality
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2023 International Conference on Management of Data | June 2023
AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang
The 61st Annual Meeting of the Association for Computational Linguistics (ACL '23) | May 2023
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
IJCAI'2022 SURVEY TRACK | July 2022
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation
Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang
EMNLP'22 Main Track | May 2022
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data
Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Shi Han, Dongmei Zhang
EMNLP'22 Oral | May 2022
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
ACL 2022 Main Track | May 2022
Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
TUTA: Tree-based Transformers for Generally Structured Table Pre-training
Zhiruo Wang, Haoyu Dong, Ran Jia (raji), Jia Li, Zhiyi Fu, Shi Han (shihan), Dongmei Zhang (dongmeiz)
KDD | August 2021
MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis
Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang
ACM SIGMOD International Conference on Management of Data | June 2021
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
Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture
Haoyu Dong, Jiong Yang, Shi Han, Dongmei Zhang
CIKM'20 (applied research track) | October 2020
Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
To appear in proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20) | February 2020
Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data
Mengyu Zhou, Tao Wang, Pengxin Ji, Shi Han, Dongmei Zhang
The 34th AAAI Conference on Artificial Intelligence (AAAI '20) | February 2020
Semantic Structure Extraction for Spreadsheet Tables with a Multi-task Learning Architecture
Haoyu Dong, Shijie Liu, Zhouyu Fu, Shi Han, Dongmei Zhang
Workshop on Document Intelligence (DI 2019) at NeurIPS 2019 | December 2019
QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data
Rui Ding, Shi Han, Yong Xu, Haidong Zhang, Dongmei Zhang
Proceedings of the 2019 ACM International Conference on Management of Data (SIGMOD'19 industrial track) | June 2019
Automated Refactoring of Nested-IF Formulae in Spreadsheets
Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang
Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE'18 industrial track) | November 2018
Expandable Group Identification in Spreadsheets
Wensheng Dou, Shi Han, Liang Xu, Dongmei Zhang, Jun Wei
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering (ASE'18) | September 2018
Extracting Top-K Insights from Multi-dimensional Data
Bo Tang, Shi Han, Man Lung Yiu, Rui Ding, Dongmei Zhang
Proceedings of the 2017 ACM International Conference on Management of Data (SIGMOD'17) | May 2017
-
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang
The 17th ACM International Conference on Web Search and Data Mining (WSDM '24) | March 2024
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI '24) | February 2024
CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang
The Eleventh International Conference on Learning Representations (ICLR '23) | May 2023
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
Accelerating Code Search with Deep Hashing and Code Classification
Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu
ACL 2022 | May 2022
FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining
Zhoujun Cheng, Haoyu Dong, Fan Cheng, Ran Jia, Pengfei Wu, Shi Han, Dongmei Zhang
ACL 2022 | May 2022
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
EMNLP 2021 | November 2021
Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
-
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
-
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
-
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
-
On the Evaluation of Neural Code Summarization
Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun
International Conference on Software Engineering (ICSE'22) | February 2022
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
EMNLP 2021 | November 2021
On the Evaluation of Commit Message Generation Models: An Experimental Study
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
Proceedings of IEEE International Conference on Software Maintenance and Evolution (ICSME '21) | July 2021
Semantic Table Structure Identification in Spreadsheets
Yakun Zhang, Xiao Lv, Haoyu Dong, Wensheng Dou, Shi Han, Dongmei Zhang, Jun Wei, Ye Dan
ISSTA | July 2021
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries
Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang
ICSE 2022 | April 2021
CoCoGUM: Contextual Code Summarization with Multi-Relational GNN on UMLs
Yanlin Wang, Lun Du, Ensheng Shi, Yuxuan Hu, Shi Han, Dongmei Zhang
MSR-TR-2020-16 | May 2020
Published by Microsoft
Automated Refactoring of Nested-IF Formulae in Spreadsheets
Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang
Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE'18 industrial track) | November 2018
Expandable Group Identification in Spreadsheets
Wensheng Dou, Shi Han, Liang Xu, Dongmei Zhang, Jun Wei
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering (ASE'18) | September 2018
Precise Condition Synthesis for Program Repair
Yingfei Xiong, Jie Wang, Runfa Yan, Jiachen Zhang, Shi Han, Gang Huang, Lu Zhang
ICSE '17 Proceedings of the 39th International Conference on Software Engineering | May 2017
ISBN: 978-1-5386-3868-2
Uncovering JavaScript Performance Code Smells Relevant to Type Mutations
Xiao Xiao, Shi Han, Charles Zhang, Dongmei Zhang
Proceedings of the 13th Asian Symposium on Programming Languages and Systems (APLAS 2015) | November 2015
ISBN: 978-3-319-26528-5
Comprehending Performance from Real-World Execution Traces: A Device-Driver Case
Xiao Yu, Shi Han, Dongmei Zhang, Tao Xie
ASPLOS 2014 | March 2014
Software Analytics in Practice
Dongmei Zhang, Shi Han, Yingnong Dang, Jian-Guang Lou, Haidong Zhang, Tao Xie
IEEE Software, Special Issue on the Many Faces of Software Analytics | October 2013
Context-Sensitive Delta Inference for Identifying Workload-Dependent Performance Bottlenecks
Xusheng Xiao, Shi Han, Tao Xie, Dongmei Zhang
ISSTA 2013 | July 2013
Performance Debugging in the Large via Mining Millions of Stack Traces
Shi Han, Yingnong Dang, Song Ge, Dongmei Zhang, Tao Xie
June 2012
Teaching and Training for Software Analytics
Dongmei Zhang, Yingnong Dang, Shi Han, Tao Xie
Proceedings of the 25th IEEE Conference on Software Engineering Education and Training (CSEE&T 2012) | April 2012
ISBN: 978-1-4673-1592-0
Software Analytics as a Learning Case in Practice: Approaches and Experiences
Dongmei Zhang, Yingnong Dang, Jian-Guang Lou, Shi Han, Haidong Zhang, Tao Xie
November 2011
-
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries
Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang
ICSE 2022 | April 2021
-
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
ACL 2022 Main Track | May 2022
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search
Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang
Proceedings of ACM International Conference on Information and Knowledge Management (CIKM'21) | November 2021
-
Systematically Ensuring The Confidence of Real Time Home Automation IoT Systems
Lei Bu, Wen Xiong, Chieh-Jan Mike Liang, Shi Han, Shan Lin, Dongmei Zhang, Xuandong Li
TCPS (ACM Transactions on Cyber-Physical Systems) | June 2018
Systematically Debugging IoT Control System Correctness for Building Automation
Chieh-Jan Mike Liang, Lei Bu, Zhao Lucis Li, Junbei Zhang, Shi Han, Börje F. Karlsson, Dongmei Zhang, Feng Zhao
BuildSys (ACM Conference on Systems for Energy-Efficient Built Environments) | November 2016
-
Automatic Real-Time Barcode Localization in Complex Scenes
Chunhui Zhang, Jian Wang, Shi Han, Mo Yi, Zhengyou Zhang
Proceedings of the International Conference on Image Processing (ICIP 2006) | October 2006
ISBN: 1-4244-0480-0
Super-Resolution of 3D Face
Gang Pan, Shi Han, Zhaohui Wu, Yueming Wang
Proceedings of the 9th European Conference on Computer Vision (ECCV 2006) | May 2006
ISBN: 3-540-33834-9
3D Face Recognition using Mapped Depth Images
Gang Pan, Shi Han, Zhaohui Wu, Yueming Wang
Proceedings of the 2005 IEEE Workshop on Face Recognition Grand Challenge (FRGC 2005), in conjunction with CVPR 2005 | September 2005
ISBN: 0-7695-2372-2
Publications by Type
-
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior
Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2024
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang
The 17th ACM International Conference on Web Search and Data Mining (WSDM '24) | March 2024
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI '24) | February 2024
Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
KDD 2023 | August 2023
HermEs: Interactive Spreadsheet Formula Prediction via Hierarchical Formulet Expansion
Wanrong He, Haoyu Dong, Yihuai Gao, Zhichao Fan, Xingzhuo Guo, Zhitao Hou, Xiao Lv, Ran Jia, Shi Han, Dongmei Zhang
ACL 2023 MainTrack | July 2023
XInsight: eXplainable Data Analysis Through The Lens of Causality
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2023 International Conference on Management of Data | June 2023
AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang
The 61st Annual Meeting of the Association for Computational Linguistics (ACL '23) | May 2023
CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang
The Eleventh International Conference on Learning Representations (ICLR '23) | May 2023
Homophily-oriented Heterogeneous Graph Rewiring
Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
The Web Conference (WWW'23) | April 2023
Robust Mid-Pass Filtering Graph Convolutional Networks
Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
The Web Conference (WWW'23) | April 2023
ML4C: Seeing Causality Through Latent Vicinity
Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang
2023 SIAM International Conference on Data Mining | April 2023
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
Neuron with Steady Response Leads to Better Generalization
Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS'22) | December 2022
pureGAM: Learning an Inherently Pure Additive Model
Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
ML4S: Learning Causal Skeleton from Vicinal Graphs
Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation
Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD'22) | August 2022
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
IJCAI'2022 SURVEY TRACK | July 2022
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation
Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang
EMNLP'22 Main Track | May 2022
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data
Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Shi Han, Dongmei Zhang
EMNLP'22 Oral | May 2022
Accelerating Code Search with Deep Hashing and Code Classification
Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu
ACL 2022 | May 2022
FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining
Zhoujun Cheng, Haoyu Dong, Fan Cheng, Ran Jia, Pengfei Wu, Shi Han, Dongmei Zhang
ACL 2022 | May 2022
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
ACL 2022 Main Track | May 2022
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily
Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang
TheWebConf 2022 | April 2022
On the Evaluation of Neural Code Summarization
Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun
International Conference on Software Engineering (ICSE'22) | February 2022
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
EMNLP 2021 | November 2021
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search
Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang
Proceedings of ACM International Conference on Information and Knowledge Management (CIKM'21) | November 2021
Neuron Campaign for Initialization Guided by Information Bottleneck Theory
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
2021 Conference on Information and Knowledge Management | November 2021
Best Short Paper Award
Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data
Lun Du, Fei Gao, Xu Chen, Ran Jia (raji), Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD'21) | August 2021
TUTA: Tree-based Transformers for Generally Structured Table Pre-training
Zhiruo Wang, Haoyu Dong, Ran Jia (raji), Jia Li, Zhiyi Fu, Shi Han (shihan), Dongmei Zhang (dongmeiz)
KDD | August 2021
On the Evaluation of Commit Message Generation Models: An Experimental Study
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
Proceedings of IEEE International Conference on Software Maintenance and Evolution (ICSME '21) | July 2021
Semantic Table Structure Identification in Spreadsheets
Yakun Zhang, Xiao Lv, Haoyu Dong, Wensheng Dou, Shi Han, Dongmei Zhang, Jun Wei, Ye Dan
ISSTA | July 2021
MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis
Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang
ACM SIGMOD International Conference on Management of Data | June 2021
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective
Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang
Proceedings of International Conference on Web Search and Data Mining (WSDM'22) | May 2021
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries
Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang
ICSE 2022 | April 2021
Structure-aware Pre-training for Table Understanding with Tree-based Transformers
Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang
arXiv | October 2020
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
Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture
Haoyu Dong, Jiong Yang, Shi Han, Dongmei Zhang
CIKM'20 (applied research track) | October 2020
Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
To appear in proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20) | February 2020
Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data
Mengyu Zhou, Tao Wang, Pengxin Ji, Shi Han, Dongmei Zhang
The 34th AAAI Conference on Artificial Intelligence (AAAI '20) | February 2020
Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
Thirty-Fourth AAAI Conference on Artificial Intelligence | February 2020
Semantic Structure Extraction for Spreadsheet Tables with a Multi-task Learning Architecture
Haoyu Dong, Shijie Liu, Zhouyu Fu, Shi Han, Dongmei Zhang
Workshop on Document Intelligence (DI 2019) at NeurIPS 2019 | December 2019
QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data
Rui Ding, Shi Han, Yong Xu, Haidong Zhang, Dongmei Zhang
Proceedings of the 2019 ACM International Conference on Management of Data (SIGMOD'19 industrial track) | June 2019
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks
Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19) | January 2019
Automated Refactoring of Nested-IF Formulae in Spreadsheets
Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang
Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE'18 industrial track) | November 2018
Expandable Group Identification in Spreadsheets
Wensheng Dou, Shi Han, Liang Xu, Dongmei Zhang, Jun Wei
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering (ASE'18) | September 2018
Precise Condition Synthesis for Program Repair
Yingfei Xiong, Jie Wang, Runfa Yan, Jiachen Zhang, Shi Han, Gang Huang, Lu Zhang
ICSE '17 Proceedings of the 39th International Conference on Software Engineering | May 2017
ISBN: 978-1-5386-3868-2
Extracting Top-K Insights from Multi-dimensional Data
Bo Tang, Shi Han, Man Lung Yiu, Rui Ding, Dongmei Zhang
Proceedings of the 2017 ACM International Conference on Management of Data (SIGMOD'17) | May 2017
Systematically Debugging IoT Control System Correctness for Building Automation
Chieh-Jan Mike Liang, Lei Bu, Zhao Lucis Li, Junbei Zhang, Shi Han, Börje F. Karlsson, Dongmei Zhang, Feng Zhao
BuildSys (ACM Conference on Systems for Energy-Efficient Built Environments) | November 2016
Uncovering JavaScript Performance Code Smells Relevant to Type Mutations
Xiao Xiao, Shi Han, Charles Zhang, Dongmei Zhang
Proceedings of the 13th Asian Symposium on Programming Languages and Systems (APLAS 2015) | November 2015
ISBN: 978-3-319-26528-5
Comprehending Performance from Real-World Execution Traces: A Device-Driver Case
Xiao Yu, Shi Han, Dongmei Zhang, Tao Xie
ASPLOS 2014 | March 2014
Software Analytics in Practice
Dongmei Zhang, Shi Han, Yingnong Dang, Jian-Guang Lou, Haidong Zhang, Tao Xie
IEEE Software, Special Issue on the Many Faces of Software Analytics | October 2013
Context-Sensitive Delta Inference for Identifying Workload-Dependent Performance Bottlenecks
Xusheng Xiao, Shi Han, Tao Xie, Dongmei Zhang
ISSTA 2013 | July 2013
Performance Debugging in the Large via Mining Millions of Stack Traces
Shi Han, Yingnong Dang, Song Ge, Dongmei Zhang, Tao Xie
June 2012
Teaching and Training for Software Analytics
Dongmei Zhang, Yingnong Dang, Shi Han, Tao Xie
Proceedings of the 25th IEEE Conference on Software Engineering Education and Training (CSEE&T 2012) | April 2012
ISBN: 978-1-4673-1592-0
Software Analytics as a Learning Case in Practice: Approaches and Experiences
Dongmei Zhang, Yingnong Dang, Jian-Guang Lou, Shi Han, Haidong Zhang, Tao Xie
November 2011
A Unified Framework for Recognizing Handwritten Chemical Expressions
Ming Chang, Shi Han, Dongmei Zhang
Proceedings of the 10th International Conference on Document Analysis and Recognition (ICDAR 2009) | July 2009
ISBN: 978-0-7695-3725-2
Systematic Multi-Path HMM Topology Design for Online Handwriting Recognition of East Asian Characters
Shi Han, Ming Chang, Yu Zou, Xinjian Chen, Dongmei Zhang
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007) | September 2007
ISBN: 978-0-7695-2822-9
Automatic Real-Time Barcode Localization in Complex Scenes
Chunhui Zhang, Jian Wang, Shi Han, Mo Yi, Zhengyou Zhang
Proceedings of the International Conference on Image Processing (ICIP 2006) | October 2006
ISBN: 1-4244-0480-0
Super-Resolution of 3D Face
Gang Pan, Shi Han, Zhaohui Wu, Yueming Wang
Proceedings of the 9th European Conference on Computer Vision (ECCV 2006) | May 2006
ISBN: 3-540-33834-9
3D Face Recognition using Mapped Depth Images
Gang Pan, Shi Han, Zhaohui Wu, Yueming Wang
Proceedings of the 2005 IEEE Workshop on Face Recognition Grand Challenge (FRGC 2005), in conjunction with CVPR 2005 | September 2005
ISBN: 0-7695-2372-2
-
FXAM: A unified and fast interpretable model for predictive analytics
Yuanyuan Jiang, Rui Ding, Tianchi Qiao, Yunan Zhu, Shi Han, Dongmei Zhang
Expert Systems with Applications | October 2024, Vol 252
CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
Empirical Software Engineering | October 2023
Systematically Ensuring The Confidence of Real Time Home Automation IoT Systems
Lei Bu, Wen Xiong, Chieh-Jan Mike Liang, Shi Han, Shan Lin, Dongmei Zhang, Xuandong Li
TCPS (ACM Transactions on Cyber-Physical Systems) | June 2018
-
CoCoGUM: Contextual Code Summarization with Multi-Relational GNN on UMLs
Yanlin Wang, Lun Du, Ensheng Shi, Yuxuan Hu, Shi Han, Dongmei Zhang
MSR-TR-2020-16 | May 2020
Published by Microsoft