| 2026 | AAAI | Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search. | Shuocheng Li, Yihao Liu, Silin Du, Wenxuan Zeng, Zhe Xu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang |
| 2026 | AAAI | SheetBrain: A Neuro-Symbolic Agent for Accurate Reasoning over Complex and Large Spreadsheets. | Ziwei Wang, Jiayuan Su, Mengyu Zhou, Huaxing Zeng, Mengni Jia, Xiao Lv, Haoyu Dong, Xiaojun Ma, Shi Han, Dongmei Zhang |
| 2026 | ACL | Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement Learning. | Hanbing Liu, Lang Cao, Yuanyi Ren, Mengyu Zhou, Haoyu Dong, Xiaojun Ma, Shi Han, Dongmei Zhang |
| 2026 | ACL | CAST: Achieving Stable LLM-based Text Analysis for Data Analytics. | Jinxiang Xie, Zihao Li, Wei He, Rui Ding, Shi Han, Dongmei Zhang |
| 2025 | ACL | TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models. | Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Zejian Yuan, Dongmei Zhang |
| 2025 | ACL | TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models. | Deyin Yi, Yihao Liu, Lang Cao, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang |
| 2025 | AISTATS | Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning. | Jiaru Zhang, Rui Ding, Qiang Fu, Bojun Huang, Zizhen Deng, Yang Hua, Haibing Guan, Shi Han, Dongmei Zhang |
| 2025 | EMNLP | SheetDesigner: MLLM-Powered Spreadsheet Layout Generation with Rule-Based and Vision-Based Reflection. | Qin Chen, Yuanyi Ren, Xiaojun Ma, Mugeng Liu, Shi Han, Dongmei Zhang |
| 2025 | EMNLP | Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning. | Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri |
| 2025 | EMNLP | TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers' Guidance. | Jingxian Xu, Mengyu Zhou, Weichang Liu, Hanbing Liu, Shi Han, Dongmei Zhang |
| 2025 | ICASSP | Extract Information from Hybrid Long Documents Leveraging LLMs: A Framework and Dataset. | Chongjian Yue, Xinrun Xu, Xiaojun Ma, Lun Du, Zhiming Ding, Shi Han, Dongmei Zhang, Qi Zhang |
| 2025 | ICSE | SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing. | Wenchao Gu, Ensheng Shi, Yanlin Wang, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Michael R. Lyu |
| 2024 | AAAI | 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 |
| 2024 | AAAI | Text-to-Image Generation for Abstract Concepts. | Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang |
| 2024 | COLING | KET-QA: A Dataset for Knowledge Enhanced Table Question Answering. | Mengkang Hu, Haoyu Dong, Ping Luo, Shi Han, Dongmei Zhang |
| 2024 | EMNLP | Encoding Spreadsheets for Large Language Models. | Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Junyu Xiong, Mengyu Zhou, Yun Lin, Jos Cambronero, Yeye He, Shi Han, Dongmei Zhang |
| 2024 | EMNLP | CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing. | Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang |
| 2024 | EMNLP | TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning. | Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang |
| 2024 | EMNLP | PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning. | Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang |
| 2024 | ICASSP | TAROT: A Hierarchical Framework with Multitask co-pretraining on Semi-Structured Data Towards Effective Person-Job fit. | Yihan Cao, Xu Chen, Lun Du, Hao Chen, Qiang Fu, Shi Han, Yushu Du, Yanbin Kang, Guangming Lu, Zi Li |
| 2024 | KDD | 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 | WSDM | Professional Network Matters: Connections Empower Person-Job Fit. | Hao Chen, Lun Du, Yuxuan Lu, Qiang Fu, Xu Chen, Shi Han, Yanbin Kang, Guangming Lu, Zi Li |
| 2024 | WSDM | Source Free Graph Unsupervised Domain Adaptation. | Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang |
| 2024 | WSDM | 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 |
| 2023 | AAAI | SheetPT: Spreadsheet Pre-training Based on Hierarchical Attention Network. | Ran Jia, Qiyu Li, Zihan Xu, Xiaoyuan Jin, Lun Du, Haoyu Dong, Xiao Lv, Shi Han, Dongmei Zhang |
| 2023 | AAAI | Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing. | Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Shi Han, Dongmei Zhang, Lei Hou, Juanzi Li, Jidong Zhai |
| 2023 | ACL | 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 |
| 2023 | ACL | 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 |
| 2023 | CIKM | Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models. | Yuyan Chen, Qiang Fu, Ge Fan, Lun Du, Jian-Guang Lou, Shi Han, Dongmei Zhang, Zhixu Li, Yanghua Xiao |
| 2023 | EMNLP | InsightPilot: An LLM-Empowered Automated Data Exploration System. | Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang |
| 2023 | ICLR | CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement. | Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang |
| 2023 | ICLR | Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy. | Jinsong Zhang, Qiang Fu, Xu Chen, Lun Du, Zelin Li, Gang Wang, Xiaoguang Liu, Shi Han, Dongmei Zhang |
| 2023 | IJCAI | Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention. | Hongjun Wang, Jiyuan Chen, Lun Du, Qiang Fu, Shi Han, Xuan Song |
| 2023 | ICSE | CoCoSoDa: Effective Contrastive Learning for Code Search. | Ensheng Shi, Yanlin Wang, Wenchao Gu, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun |
| 2023 | ISSTA | Towards Efficient Fine-Tuning of Pre-trained Code Models: An Experimental Study and Beyond. | Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun |
| 2023 | KDD | On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering. | Jiayan Guo, Lun Du, Xu Chen, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang, Yan Zhang |
| 2023 | KDD | GetPt: Graph-enhanced General Table Pre-training with Alternate Attention Network. | Ran Jia, Haoming Guo, Xiaoyuan Jin, Chao Yan, Lun Du, Xiaojun Ma, Tamara Stankovic, Marko Lozajic, Goran Zoranovic, Igor Ilic, Shi Han, Dongmei Zhang |
| 2023 | KDD | 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 |
| 2023 | WWW | Homophily-oriented Heterogeneous Graph Rewiring. | Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang |
| 2023 | WWW | Robust Mid-Pass Filtering Graph Convolutional Networks. | Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang |
| 2023 | WSDM | MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution. | Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang |
| 2023 | WSDM | Revisiting Code Search in a Two-Stage Paradigm. | Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang |
| 2023 | WSDM | DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms. | Feifan Li, Lun Du, Qiang Fu, Shi Han, Yushu Du, Guangming Lu, Zi Li |
| 2023 | SDM | ML4C: Seeing Causality Through Latent Vicinity. | Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang |
| 2022 | ACL | FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining. | Zhoujun Cheng, Haoyu Dong, Ran Jia, Pengfei Wu, Shi Han, Fan Cheng, Dongmei Zhang |
| 2022 | ACL | 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 |
| 2022 | ACL | Accelerating Code Search with Deep Hashing and Code Classification. | Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu |
| 2022 | CIKM | Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. | Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang |
| 2022 | EMNLP | PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation. | Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | RACE: Retrieval-augmented Commit Message Generation. | Ensheng Shi, Yanlin Wang, Wei Tao, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun |
| 2022 | EMNLP | Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems. | Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang |
| 2022 | EMNLP | TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data. | Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Fan Cheng, Shi Han, Dongmei Zhang |
| 2022 | IJCAI | 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 |
| 2022 | ICSE | On the Evaluation of Neural Code Summarization. | Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun |
| 2022 | KDD | ML4S: Learning Causal Skeleton from Vicinal Graphs. | Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang |
| 2022 | KDD | pureGAM: Learning an Inherently Pure Additive Model. | Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang |
| 2022 | KDD | 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 |
| 2022 | MSR | 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 |
| 2022 | WWW | 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 |
| 2022 | WSDM | 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 |
| 2021 | CIKM | 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 |
| 2021 | CIKM | Neuron Campaign for Initialization Guided by Information Bottleneck Theory. | Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang |
| 2021 | EMNLP | 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 |
| 2021 | ISSTA | Semantic table structure identification in spreadsheets. | Yakun Zhang, Xiao Lv, Haoyu Dong, Wensheng Dou, Shi Han, Dongmei Zhang, Jun Wei, Dan Ye |
| 2021 | KDD | TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data. | Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang |
| 2021 | KDD | TUTA: Tree-based Transformers for Generally Structured Table Pre-training. | Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang |
| 2021 | KDD | 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, Dongmei Zhang |
| 2021 | SIGMOD | MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis. | Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang |
| 2020 | AAAI | Reliable and Efficient Anytime Skeleton Learning. | Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang |
| 2020 | CIKM | Neural Formatting for Spreadsheet Tables. | Haoyu Dong, Jinyu Wang, Zhouyu Fu, Shi Han, Dongmei Zhang |
| 2020 | CIKM | Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture. | Haoyu Dong, Jiong Yang, Shi Han, Dongmei Zhang |
| 2019 | AAAI | TableSense: Spreadsheet Table Detection with Convolutional Neural Networks. | Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang |
| 2019 | SIGMOD | QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data. | Rui Ding, Shi Han, Yong Xu, Haidong Zhang, Dongmei Zhang |
| 2017 | ICSE | Precise condition synthesis for program repair. | Yingfei Xiong, Jie Wang, Runfa Yan, Jiachen Zhang, Shi Han, Gang Huang, Lu Zhang |
| 2017 | SIGMOD | Extracting Top-K Insights from Multi-dimensional Data. | Bo Tang, Shi Han, Man Lung Yiu, Rui Ding, Dongmei Zhang |
| 2016 | SENSYS | Systematically Debugging IoT Control System Correctness for Building Automation. | Chieh-Jan Mike Liang, Lei Bu, Zhao Li, Junbei Zhang, Shi Han, Brje F. Karlsson, Dongmei Zhang, Feng Zhao |
| 2015 | APLAS | Uncovering JavaScript Performance Code Smells Relevant to Type Mutations. | Xiao Xiao, Shi Han, Charles Zhang, Dongmei Zhang |
| 2014 | ASPLOS | Comprehending performance from real-world execution traces: a device-driver case. | Xiao Yu, Shi Han, Dongmei Zhang, Tao Xie |
| 2013 | ISSTA | Context-sensitive delta inference for identifying workload-dependent performance bottlenecks. | Xusheng Xiao, Shi Han, Dongmei Zhang, Tao Xie |
| 2012 | ICSE | Performance debugging in the large via mining millions of stack traces. | Shi Han, Yingnong Dang, Song Ge, Dongmei Zhang, Tao Xie |
| 2009 | ICDAR | A Unified Framework for Recognizing Handwritten Chemical Expressions. | Ming Chang, Shi Han, Dongmei Zhang |
| 2007 | ICDAR | Systematic Multi-Path HMM Topology Design for Online Handwriting Recognition of East Asian Characters. | Shi Han, Ming Chang, Yu Zou, Xinjian Chen, Dongmei Zhang |
| 2006 | ACCV | Hallucinating 3D Faces. | Shiqi Peng, Gang Pan, Shi Han, Yueming Wang |
| 2006 | ECCV | Super-Resolution of 3D Face. | Gang Pan, Shi Han, Zhaohui Wu, Yueming Wang |
| 2006 | ICIP | Automatic Real-Time Barcode Localization in Complex Scenes. | Chunhui Zhang, Jian Wang, Shi Han, Mo Yi, Zhengyou Zhang |
| 2005 | CVPR | 3D Face Recognition using Mapped Depth Images. | Gang Pan, Shi Han, Zhaohui Wu, Yueming Wang |
| 2004 | ICCS | Sphere-Spin-Image: A Viewpoint-Invariant Surface Representation for 3D Face Recognition. | Yueming Wang, Gang Pan, Zhaohui Wu, Shi Han |