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2020 – today
- 2024
[j8]Yuanyuan Jiang, Rui Ding
, Tianchi Qiao, Yunan Zhu, Shi Han, Dongmei Zhang:
FXAM: A unified and fast interpretable model for predictive analytics. Expert Syst. Appl. 252: 123890 (2024)- [j7]Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang:
Make Heterophilic Graphs Better Fit GNN: A Graph Rewiring Approach. IEEE Trans. Knowl. Data Eng. 36(12): 8744-8757 (2024) - [c82]Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang:
Text-to-Image Generation for Abstract Concepts. AAAI 2024: 3360-3368 - [c81]Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang:
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries. AAAI 2024: 18206-18215 - [c80]Mengkang Hu, Haoyu Dong, Ping Luo, Shi Han, Dongmei Zhang:
KET-QA: A Dataset for Knowledge Enhanced Table Question Answering. LREC/COLING 2024: 9705-9719 - [c79]Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang:
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning. EMNLP (Findings) 2024: 10288-10305 - [c78]Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang:
TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning. EMNLP (Findings) 2024: 10306-10323 - [c77]Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang:
CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing. EMNLP 2024: 19433-19451 - [c76]Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang:
Encoding Spreadsheets for Large Language Models. EMNLP 2024: 20728-20748 - [c75]Yihan Cao, Xu Chen, Lun Du, Hao Chen, Qiang Fu, Shi Han, Yushu Du, Yanbin Kang, Guangming Lu, Zi Li:
TAROT: A Hierarchical Framework with Multitask co-pretraining on Semi-Structured Data Towards Effective Person-Job fit. ICASSP 2024: 12046-12050 - [c74]Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang:
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior. KDD 2024: 2141-2152 - [c73]Hao Chen, Lun Du, Yuxuan Lu, Qiang Fu, Xu Chen, Shi Han, Yanbin Kang, Guangming Lu, Zi Li:
Professional Network Matters: Connections Empower Person-Job Fit. WSDM 2024: 96-105 - [c72]Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang:
Source Free Graph Unsupervised Domain Adaptation. WSDM 2024: 520-528 - [c71]Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang:
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study. WSDM 2024: 645-654 - [i64]Hao Chen, Lun Du, Yuxuan Lu, Qiang Fu, Xu Chen, Shi Han, Yanbin Kang, Guangming Lu, Zi Li:
Professional Network Matters: Connections Empower Person-Job Fit. CoRR abs/2401.00010 (2024) - [i63]Yihan Cao, Xu Chen, Lun Du, Hao Chen, Qiang Fu, Shi Han, Yushu Du, Yanbin Kang, Guangming Lu, Zi Li:
TAROT: A Hierarchical Framework with Multitask Co-Pretraining on Semi-Structured Data towards Effective Person-Job Fit. CoRR abs/2401.07525 (2024) - [i62]Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang:
CONLINE: Complex Code Generation and Refinement with Online Searching and Correctness Testing. CoRR abs/2403.13583 (2024) - [i61]Mengkang Hu, Haoyu Dong, Ping Luo, Shi Han, Dongmei Zhang:
KET-QA: A Dataset for Knowledge Enhanced Table Question Answering. CoRR abs/2405.08099 (2024) - [i60]Shiyu Xia, Junyu Xiong, Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Mengyu Zhou, Yeye He, Shi Han, Dongmei Zhang:
Vision Language Models for Spreadsheet Understanding: Challenges and Opportunities. CoRR abs/2405.16234 (2024) - [i59]Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang:
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version). CoRR abs/2406.10537 (2024) - [i58]Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang:
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning. CoRR abs/2407.02211 (2024) - [i57]Yuzhang Tian, Jianbo Zhao, Haoyu Dong, Junyu Xiong, Shiyu Xia, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang:
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models. CoRR abs/2407.09025 (2024) - [i56]Yuyan Chen, Qiang Fu, Ge Fan, Lun Du, Jian-Guang Lou, Shi Han, Dongmei Zhang, Zhixu Li, Yanghua Xiao:
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models. CoRR abs/2407.11033 (2024) - [i55]Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri:
Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Generator-Validator Fine-tuning. CoRR abs/2410.12164 (2024) - 2023
- [j6]Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. Empir. Softw. Eng. 28(6): 135 (2023) - [j5]Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang:
XInsight: eXplainable Data Analysis Through The Lens of Causality. Proc. ACM Manag. Data 1(2): 156:1-156:27 (2023) - [c70]Ran Jia, Qiyu Li, Zihan Xu, Xiaoyuan Jin, Lun Du, Haoyu Dong, Xiao Lv, Shi Han, Dongmei Zhang:
SheetPT: Spreadsheet Pre-training Based on Hierarchical Attention Network. AAAI 2023: 12951-12958 - [c69]Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Shi Han, Dongmei Zhang, Lei Hou, Juanzi Li, Jidong Zhai:
Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing. AAAI 2023: 13400-13408 - [c68]Wanrong He, Haoyu Dong, Yihuai Gao, Zhichao Fan, Xingzhuo Guo, Zhitao Hou, Xiao Lv, Ran Jia, Shi Han, Dongmei Zhang:
HermEs: Interactive Spreadsheet Formula Prediction via Hierarchical Formulet Expansion. ACL (1) 2023: 8356-8372 - [c67]Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang:
AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks. ACL (Findings) 2023: 9471-9492 - [c66]Yuyan Chen, Qiang Fu, Ge Fan, Lun Du, Jian-Guang Lou, Shi Han, Dongmei Zhang, Zhixu Li, Yanghua Xiao:
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models. CIKM 2023: 276-285 - [c65]Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang:
InsightPilot: An LLM-Empowered Automated Data Exploration System. EMNLP (Demos) 2023: 346-352 - [c64]Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang:
CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement. ICLR 2023 - [c63]Jinsong Zhang, Qiang Fu, Xu Chen, Lun Du, Zelin Li, Gang Wang, Xiaoguang Liu, Shi Han, Dongmei Zhang:
Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy. ICLR 2023 - [c62]Ensheng Shi, Yanlin Wang, Wenchao Gu, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
CoCoSoDa: Effective Contrastive Learning for Code Search. ICSE 2023: 2198-2210 - [c61]Hongjun Wang, Jiyuan Chen, Lun Du, Qiang Fu, Shi Han, Xuan Song:
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention. IJCAI 2023: 2315-2323 - [c60]Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun:
Towards Efficient Fine-Tuning of Pre-trained Code Models: An Experimental Study and Beyond. ISSTA 2023: 39-51 - [c59]Jiayan Guo, Lun Du, Xu Chen, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang, Yan Zhang:
On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering. KDD 2023: 602-613 - [c58]Ran Jia, Haoming Guo, Xiaoyuan Jin, Chao Yan, Lun Du, Xiaojun Ma, Tamara Stankovic, Marko Lozajic, Goran Zoranovic, Igor Ilic, Shi Han, Dongmei Zhang:
GetPt: Graph-enhanced General Table Pre-training with Alternate Attention Network. KDD 2023: 941-950 - [c57]Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri:
Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines. KDD 2023: 4991-5003 - [c56]Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang:
ML4C: Seeing Causality Through Latent Vicinity. SDM 2023: 226-234 - [c55]Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang:
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution. WSDM 2023: 132-140 - [c54]Feifan Li, Lun Du, Qiang Fu, Shi Han, Yushu Du, Guangming Lu, Zi Li:
DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms. WSDM 2023: 384-392 - [c53]Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang:
Revisiting Code Search in a Two-Stage Paradigm. WSDM 2023: 994-1002 - [c52]Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang:
Robust Mid-Pass Filtering Graph Convolutional Networks. WWW 2023: 328-338 - [c51]Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang:
Homophily-oriented Heterogeneous Graph Rewiring. WWW 2023: 511-522 - [i54]Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang:
Homophily-oriented Heterogeneous Graph Rewiring. CoRR abs/2302.06299 (2023) - [i53]Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang:
Robust Mid-Pass Filtering Graph Convolutional Networks. CoRR abs/2302.08048 (2023) - [i52]Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang:
Demonstration of InsightPilot: An LLM-Empowered Automated Data Exploration System. CoRR abs/2304.00477 (2023) - [i51]Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun:
Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond. CoRR abs/2304.05216 (2023) - [i50]Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang:
Evaluating and Enhancing Structural Understanding Capabilities of Large Language Models on Tables via Input Designs. CoRR abs/2305.13062 (2023) - [i49]Hongjun Wang, Jiyuan Chen, Lun Du, Qiang Fu, Shi Han, Xuan Song:
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention. CoRR abs/2305.13115 (2023) - [i48]Chongjian Yue, Xinrun Xu, Xiaojun Ma, Lun Du, Hengyu Liu, Zhiming Ding, Yanbing Jiang, Shi Han, Dongmei Zhang:
Leveraging LLMs for KPIs Retrieval from Hybrid Long-Document: A Comprehensive Framework and Dataset. CoRR abs/2305.16344 (2023) - [i47]Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri:
Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines. CoRR abs/2306.02421 (2023) - [i46]Jiayan Guo, Lun Du, Xu Chen, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang, Yan Zhang:
On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering. CoRR abs/2306.03624 (2023) - [i45]Ensheng Shi, Fengji Zhang, Yanlin Wang, Bei Chen, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
SoTaNa: The Open-Source Software Development Assistant. CoRR abs/2308.13416 (2023) - [i44]Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang:
Text-to-Image Generation for Abstract Concepts. CoRR abs/2309.14623 (2023) - [i43]Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang:
TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning. CoRR abs/2312.09039 (2023) - [i42]Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang:
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries. CoRR abs/2312.13671 (2023) - 2022
- [j4]Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang:
A large-scale empirical study of commit message generation: models, datasets and evaluation. Empir. Softw. Eng. 27(7): 198 (2022) - [c50]Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang:
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation. ACL (1) 2022: 1094-1110 - [c49]Zhoujun Cheng, Haoyu Dong, Ran Jia, Pengfei Wu, Shi Han, Fan Cheng, Dongmei Zhang:
FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining. ACL (1) 2022: 1150-1166 - [c48]Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu:
Accelerating Code Search with Deep Hashing and Code Classification. ACL (1) 2022: 2534-2544 - [c47]Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang:
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. CIKM 2022: 4234-4238 - [c46]Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Fan Cheng, Shi Han, Dongmei Zhang:
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data. EMNLP 2022: 2278-2291 - [c45]Ensheng Shi, Yanlin Wang, Wei Tao, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
RACE: Retrieval-augmented Commit Message Generation. EMNLP 2022: 5520-5530 - [c44]Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang:
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation. EMNLP 2022: 5531-5546 - [c43]Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang:
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems. EMNLP 2022: 7950-7966 - [c42]Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang:
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information. EMNLP 2022: 8133-8149 - [c41]Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun:
On the Evaluation of Neural Code Summarization. ICSE 2022: 1597-1608 - [c40]Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang:
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks. IJCAI 2022: 5426-5435 - [c39]Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang:
ML4S: Learning Causal Skeleton from Vicinal Graphs. KDD 2022: 1213-1223 - [c38]Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang:
pureGAM: Learning an Inherently Pure Additive Model. KDD 2022: 1728-1738 - [c37]Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi:
TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation. KDD 2022: 2275-2285 - [c36]Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang:
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries. MSR 2022: 423-434 - [c35]Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang:
Neuron with Steady Response Leads to Better Generalization. NeurIPS 2022 - [c34]Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang:
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective. WSDM 2022: 230-240 - [c33]Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang:
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily. WWW 2022: 1550-1558 - [i41]Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang:
Table Pre-training: A Survey on Model Architectures, Pretraining Objectives, and Downstream Tasks. CoRR abs/2201.09745 (2022) - [i40]Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
ECMG: Exemplar-based Commit Message Generation. CoRR abs/2203.02700 (2022) - [i39]Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu:
Accelerating Code Search with Deep Hashing and Code Classification. CoRR abs/2203.15287 (2022) - [i38]Ensheng Shi, Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation. CoRR abs/2204.03293 (2022) - [i37]Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang:
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries. CoRR abs/2204.10232 (2022) - [i36]Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Shi Han, Dongmei Zhang:
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data. CoRR abs/2205.12682 (2022) - [i35]Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang:
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation. CoRR abs/2205.12697 (2022) - [i34]Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang:
XInsight: eXplainable Data Analysis Through The Lens of Causality. CoRR abs/2207.12718 (2022) - [i33]Lingbo Li, Tianle Li, Xinyi He, Mengyu Zhou, Shi Han, Dongmei Zhang:
ASTA: Learning Analytical Semantics over Tables for Intelligent Data Analysis and Visualization. CoRR abs/2208.01043 (2022) - [i32]Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang:
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution. CoRR abs/2208.07012 (2022) - [i31]Fan Hu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Xirong Li:
Long Code for Code Search. CoRR abs/2208.11271 (2022) - [i30]Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang:
Revisiting Code Search in a Two-Stage Paradigm. CoRR abs/2208.11274 (2022) - [i29]Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang:
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. CoRR abs/2208.11873 (2022) - [i28]Xinyi He, Mengyu Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang:
Inferring Tabular Analysis Metadata by Infusing Distribution and Knowledge Information. CoRR abs/2209.00946 (2022) - [i27]Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang:
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach. CoRR abs/2209.08264 (2022) - [i26]Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Shi Han, Dongmei Zhang, Lei Hou, Juanzi Li, Jidong Zhai:
Guiding the PLMs with Semantic Anchors as Intermediate Supervision: Towards Interpretable Semantic Parsing. CoRR abs/2210.01425 (2022) - [i25]Fan Zhou, Haoyu Dong, Qian Liu, Zhoujun Cheng, Shi Han, Dongmei Zhang:
Reflection of Thought: Inversely Eliciting Numerical Reasoning in Language Models via Solving Linear Systems. CoRR abs/2210.05075 (2022) - [i24]Feifan Li, Lun Du, Qiang Fu, Shi Han, Yushu Du, Guangming Lu, Zi Li:
DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms. CoRR abs/2210.12402 (2022) - [i23]Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang:
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information. CoRR abs/2211.05284 (2022) - [i22]Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang:
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems. CoRR abs/2211.07455 (2022) - [i21]Hongwei Han, Jialiang Xu, Mengyu Zhou, Yijia Shao, Shi Han, Dongmei Zhang:
LUNA: Language Understanding with Number Augmentations on Transformers via Number Plugins and Pre-training. CoRR abs/2212.02691 (2022) - 2021
- [j3]Ming Wen, Junjie Chen, Yongqiang Tian, Rongxin Wu, Dan Hao, Shi Han, Shing-Chi Cheung:
Historical Spectrum Based Fault Localization. IEEE Trans. Software Eng. 47(11): 2348-2368 (2021) - [c32]Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang:
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search. CIKM 2021: 2994-2998 - [c31]Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang:
Neuron Campaign for Initialization Guided by Information Bottleneck Theory. CIKM 2021: 3328-3332 - [c30]Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. EMNLP (1) 2021: 4053-4062 - [c29]Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang:
On the Evaluation of Commit Message Generation Models: An Experimental Study. ICSME 2021: 126-136 - [c28]Yakun Zhang, Xiao Lv, Haoyu Dong, Wensheng Dou, Shi Han, Dongmei Zhang, Jun Wei, Dan Ye:
Semantic table structure identification in spreadsheets. ISSTA 2021: 283-295 - [c27]Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang:
TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data. KDD 2021: 322-331 - [c26]Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang:
TUTA: Tree-based Transformers for Generally Structured Table Pre-training. KDD 2021: 1780-1790 - [c25]Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang, Dongmei Zhang:
Table2Charts: Recommending Charts by Learning Shared Table Representations. KDD 2021: 2389-2399 - [c24]Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang:
MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis. SIGMOD Conference 2021: 1262-1274 - [i20]Lun Du, Xu Chen, Fei Gao, Kunqing Xie, Shi Han, Dongmei Zhang:
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective. CoRR abs/2105.08007 (2021) - [i19]Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang:
TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data. CoRR abs/2106.03096 (2021) - [i18]Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang:
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks. CoRR abs/2106.13500 (2021) - [i17]Yanlin Wang, Ensheng Shi, Lun Du, Xiaodi Yang, Yuxuan Hu, Shi Han, Hongyu Zhang, Dongmei Zhang:
CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network. CoRR abs/2107.01933 (2021) - [i16]Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang:
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning for Semantic Code Search. CoRR abs/2107.04773 (2021) - [i15]Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang:
On the Evaluation of Commit Message Generation Models: An Experimental Study. CoRR abs/2107.05373 (2021) - [i14]Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun:
Neural Code Summarization: How Far Are We? CoRR abs/2107.07112 (2021) - [i13]Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang:
Neuron Campaign for Initialization Guided by Information Bottleneck Theory. CoRR abs/2108.06530 (2021) - [i12]Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang:
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation. CoRR abs/2108.06712 (2021) - [i11]Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. CoRR abs/2108.12987 (2021) - [i10]Zhoujun Cheng, Haoyu Dong, Fan Cheng, Ran Jia, Pengfei Wu, Shi Han, Dongmei Zhang:
FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining. CoRR abs/2109.07323 (2021) - [i9]Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang:
ML4C: Seeing Causality Through Latent Vicinity. CoRR abs/2110.00637 (2021) - [i8]Lun Du, Xiaozhou Shi, Qiang Fu, Hengyu Liu, Shi Han, Dongmei Zhang:
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily. CoRR abs/2110.15777 (2021) - [i7]Rui Ding, Tianchi Qiao, Yunan Zhu, Zhitao Zou, Shi Han, Dongmei Zhang:
A Unified and Fast Interpretable Model for Predictive Analytics. CoRR abs/2111.08255 (2021) - [i6]Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang:
Neuron with Steady Response Leads to Better Generalization. CoRR abs/2111.15414 (2021) - [i5]Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang:
Source Free Unsupervised Graph Domain Adaptation. CoRR abs/2112.00955 (2021) - 2020
- [c23]Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang:
Reliable and Efficient Anytime Skeleton Learning. AAAI 2020: 10101-10109 - [c22]Haoyu Dong, Jinyu Wang, Zhouyu Fu, Shi Han, Dongmei Zhang:
Neural Formatting for Spreadsheet Tables. CIKM 2020: 305-314 - [c21]Haoyu Dong, Jiong Yang, Shi Han, Dongmei Zhang:
Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture. CIKM 2020: 2389-2396 - [i4]Mengyu Zhou, Qingtao Li, Yuejiang Li, Shi Han, Dongmei Zhang:
Table2Charts: Learning Shared Representations for Recommending Charts on Multi-dimensional Data. CoRR abs/2008.11015 (2020) - [i3]Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang:
Structure-aware Pre-training for Table Understanding with Tree-based Transformers. CoRR abs/2010.12537 (2020)
2010 – 2019
- 2019
- [c20]Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang:
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks. AAAI 2019: 69-76 - [c19]Rui Ding, Shi Han, Yong Xu, Haidong Zhang, Dongmei Zhang:
QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data. SIGMOD Conference 2019: 317-332 - 2018
- [j2]Lei Bu, Wen Xiong, Chieh-Jan Mike Liang, Shi Han, Dongmei Zhang, Shan Lin, Xuandong Li:
Systematically Ensuring the Confidence of Real-Time Home Automation IoT Systems. ACM Trans. Cyber Phys. Syst. 2(3): 22:1-22:23 (2018) - [c18]Wensheng Dou, Shi Han, Liang Xu, Dongmei Zhang, Jun Wei:
Expandable group identification in spreadsheets. ASE 2018: 498-508 - [c17]Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang:
Automated refactoring of nested-IF formulae in spreadsheets. ESEC/SIGSOFT FSE 2018: 833-838 - 2017
- [c16]Yingfei Xiong, Jie Wang, Runfa Yan, Jiachen Zhang, Shi Han, Gang Huang, Lu Zhang:
Precise condition synthesis for program repair. ICSE 2017: 416-426 - [c15]Bo Tang, Shi Han, Man Lung Yiu, Rui Ding, Dongmei Zhang:
Extracting Top-K Insights from Multi-dimensional Data. SIGMOD Conference 2017: 1509-1524 - [i2]Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang:
Automated Refactoring of Nested-IF Formulae in Spreadsheets. CoRR abs/1712.09797 (2017) - 2016
- [c14]Chieh-Jan Mike Liang, Lei Bu, Zhao Li, Junbei Zhang, Shi Han, Börje F. Karlsson, Dongmei Zhang, Feng Zhao:
Systematically Debugging IoT Control System Correctness for Building Automation. BuildSys 2016: 133-142 - [i1]Yingfei Xiong, Jie Wang, Runfa Yan, Jiachen Zhang, Shi Han, Gang Huang, Lu Zhang:
Precise Condition Synthesis for Program Repair. CoRR abs/1608.07754 (2016) - 2015
- [c13]Xiao Xiao, Shi Han, Charles Zhang, Dongmei Zhang:
Uncovering JavaScript Performance Code Smells Relevant to Type Mutations. APLAS 2015: 335-355 - 2014
- [c12]Xiao Yu, Shi Han, Dongmei Zhang, Tao Xie:
Comprehending performance from real-world execution traces: a device-driver case. ASPLOS 2014: 193-206 - 2013
- [j1]Dongmei Zhang, Shi Han, Yingnong Dang, Jian-Guang Lou, Haidong Zhang, Tao Xie:
Software Analytics in Practice. IEEE Softw. 30(5): 30-37 (2013) - [c11]Xusheng Xiao, Shi Han, Dongmei Zhang, Tao Xie:
Context-sensitive delta inference for identifying workload-dependent performance bottlenecks. ISSTA 2013: 90-100 - 2012
- [c10]Dongmei Zhang, Yingnong Dang, Shi Han, Tao Xie:
Teaching and Training for Software Analytics. CSEE&T 2012: 92 - [c9]Shi Han, Yingnong Dang, Song Ge, Dongmei Zhang, Tao Xie:
Performance debugging in the large via mining millions of stack traces. ICSE 2012: 145-155
2000 – 2009
- 2009
- [c8]Ming Chang, Shi Han, Dongmei Zhang:
A Unified Framework for Recognizing Handwritten Chemical Expressions. ICDAR 2009: 1345-1349 - 2007
- [c7]Shi Han, Ming Chang, Yu Zou, Xinjian Chen, Dongmei Zhang:
Systematic Multi-Path HMM Topology Design for Online Handwriting Recognition of East Asian Characters. ICDAR 2007: 604-608 - 2006
- [c6]Shiqi Peng, Gang Pan, Shi Han, Yueming Wang:
Hallucinating 3D Faces. ACCV (2) 2006: 923-932 - [c5]Gang Pan, Shi Han, Zhaohui Wu, Yueming Wang:
Super-Resolution of 3D Face. ECCV (2) 2006: 389-401 - [c4]Chunhui Zhang, Jian Wang, Shi Han, Mo Yi, Zhengyou Zhang:
Automatic Real-Time Barcode Localization in Complex Scenes. ICIP 2006: 497-500 - 2005
- [c3]Gang Pan, Shi Han, Zhaohui Wu, Yueming Wang:
3D Face Recognition using Mapped Depth Images. CVPR Workshops 2005: 175 - 2004
- [c2]Shi Han, Gang Pan, Zhaohui Wu:
Human Face Orientation Detection Using Power Spectrum Based Measurements. FGR 2004: 791-796 - [c1]Yueming Wang, Gang Pan, Zhaohui Wu, Shi Han:
Sphere-Spin-Image: A Viewpoint-Invariant Surface Representation for 3D Face Recognition. International Conference on Computational Science 2004: 427-434
Coauthor Index
[j7] [c82] [c81] [c78] [c75] [c73] [c72] [i64] [i63] [i56] [j6] [c70] [c69] [c66] [c63] [c62] [c61] [c60] [c59] [c58] [c55] [c54] [c53] [c52] [c51] [i54] [i53] [i51] [i49] [i48] [i46] [i45] [i44] [i43] [i42] [j4] [c48] [c47] [c45] [c41] [c37] [c35] [c34] [c33] [i40] [i39] [i38] [i32] [i31] [i30] [i29] [i27] [i26] [i24] [c32] [c31] [c30] [c29] [c27] [i20] [i19] [i17] [i16] [i15] [i14] [i13] [i11] [i8] [i6] [i5]
[j8] [j7] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c74] [c72] [c71] [i62] [i61] [i60] [i59] [i58] [i57] [i56] [i55] [j6] [j5] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c60] [c59] [c58] [c57] [c56] [c55] [c53] [c52] [c51] [i54] [i53] [i52] [i51] [i50] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [j4] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c36] [c35] [c34] [c33] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i23] [i22] [i21] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [c23] [c22] [c21] [i4] [i3] [c20] [c19] [j2] [c18] [c17] [c15] [i2] [c14] [c13] [c12] [j1] [c11] [c10] [c9] [c8] [c7]
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