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2024
[j7]
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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)
2023
[j6]
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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]
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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)
2022
[j4]
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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)
2021
[j3]
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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)
2018
[j2]
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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)
2013
[j1]
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Dongmei Zhang, Shi Han, Yingnong Dang, Jian-Guang Lou, Haidong Zhang, Tao Xie:
Software Analytics in Practice. IEEE Softw. 30(5): 30-37 (2013)

Conference and Workshop Papers

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2024
[c78]
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  - conf/aaai/LiaoCFD0WH024
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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
[c77]
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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
[c76]
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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
[c75]
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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]
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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]
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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]
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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]
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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
2023
[c70]
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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]
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  - conf/aaai/NieS0DH00LZ23
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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]
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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]
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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]
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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]
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Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang:
InsightPilot: An LLM-Empowered Automated Data Exploration System. EMNLP (Demos) 2023: 346-352
[c64]
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  - conf/iclr/HanZHL023
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Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang:
CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement. ICLR 2023
[c63]
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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]
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  - conf/icse/ShiWGDZHZS23
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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]
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  - conf/ijcai/WangCDFHS23
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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]
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  - conf/issta/ShiW0DH0023
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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]
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  - conf/kdd/GuoD0MFH0Z23
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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]
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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]
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  - conf/kdd/TuHCGZH0C23
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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]
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  - conf/sdm/Dai0JH023
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Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang:
ML4C: Seeing Causality Through Latent Vicinity. SDM 2023: 226-234
[c55]
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  - conf/wsdm/BiDFWHZ23
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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]
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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]
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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]
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Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang:
Robust Mid-Pass Filtering Graph Convolutional Networks. WWW 2023: 328-338
[c51]
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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
2022
[c50]
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  - conf/acl/Cheng0WJG0HLZ22
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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]
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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]
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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]
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  - conf/cikm/LiuFDZ0H022
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang:
pureGAM: Learning an Inherently Pure Additive Model. KDD 2022: 1728-1738
[c37]
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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]
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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]
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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]
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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
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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
2021
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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
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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]
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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]
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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]
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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]
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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]
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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]
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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
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Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang:
MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis. SIGMOD Conference 2021: 1262-1274
2020
[c23]
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Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang:
Reliable and Efficient Anytime Skeleton Learning. AAAI 2020: 10101-10109
[c22]
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Haoyu Dong, Jinyu Wang, Zhouyu Fu, Shi Han, Dongmei Zhang:
Neural Formatting for Spreadsheet Tables. CIKM 2020: 305-314
[c21]
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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
2019
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Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang:
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks. AAAI 2019: 69-76
[c19]
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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
[c18]
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Wensheng Dou, Shi Han, Liang Xu, Dongmei Zhang, Jun Wei:
Expandable group identification in spreadsheets. ASE 2018: 498-508
[c17]
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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
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Yingfei Xiong, Jie Wang, Runfa Yan, Jiachen Zhang, Shi Han, Gang Huang, Lu Zhang:
Precise condition synthesis for program repair. ICSE 2017: 416-426
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Bo Tang, Shi Han, Man Lung Yiu, Rui Ding, Dongmei Zhang:
Extracting Top-K Insights from Multi-dimensional Data. SIGMOD Conference 2017: 1509-1524
2016
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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@SenSys 2016: 133-142
2015
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Xiao Xiao, Shi Han, Charles Zhang, Dongmei Zhang:
Uncovering JavaScript Performance Code Smells Relevant to Type Mutations. APLAS 2015: 335-355
2014
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Xiao Yu, Shi Han, Dongmei Zhang, Tao Xie:
Comprehending performance from real-world execution traces: a device-driver case. ASPLOS 2014: 193-206
2013
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Xusheng Xiao, Shi Han, Dongmei Zhang, Tao Xie:
Context-sensitive delta inference for identifying workload-dependent performance bottlenecks. ISSTA 2013: 90-100
2012
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Dongmei Zhang, Yingnong Dang, Shi Han, Tao Xie:
Teaching and Training for Software Analytics. CSEE&T 2012: 92
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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
2009
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Ming Chang, Shi Han, Dongmei Zhang:
A Unified Framework for Recognizing Handwritten Chemical Expressions. ICDAR 2009: 1345-1349
2007
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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
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Shiqi Peng, Gang Pan, Shi Han, Yueming Wang:
Hallucinating 3D Faces. ACCV (2) 2006: 923-932
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Gang Pan, Shi Han, Zhaohui Wu, Yueming Wang:
Super-Resolution of 3D Face. ECCV (2) 2006: 389-401
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Chunhui Zhang, Jian Wang, Shi Han, Mo Yi, Zhengyou Zhang:
Automatic Real-Time Barcode Localization in Complex Scenes. ICIP 2006: 497-500
2005
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Gang Pan, Shi Han, Zhaohui Wu, Yueming Wang:
3D Face Recognition using Mapped Depth Images. CVPR Workshops 2005: 175
2004
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Shi Han, Gang Pan, Zhaohui Wu:
Human Face Orientation Detection Using Power Spectrum Based Measurements. FGR 2004: 791-796
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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

Informal and Other Publications

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What is the meaning of the colors in the publication lists?

2024
[i63]
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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)
[i62]
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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)
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  - journals/corr/abs-2403-13583
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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)
[i60]
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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)
[i59]
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  - journals/corr/abs-2405-16234
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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)
[i58]
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  - journals/corr/abs-2406-10537
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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)
[i57]
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  - journals/corr/abs-2407-02211
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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)
[i56]
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  - journals/corr/abs-2407-09025
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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)
[i55]
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  - journals/corr/abs-2407-11033
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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)
2023
[i54]
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  - journals/corr/abs-2302-06299
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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]
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  - journals/corr/abs-2302-08048
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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]
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  - journals/corr/abs-2304-00477
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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]
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  - journals/corr/abs-2304-05216
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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]
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  - journals/corr/abs-2305-13062
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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]
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  - journals/corr/abs-2305-13115
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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]
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  - journals/corr/abs-2305-16344
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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]
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  - journals/corr/abs-2306-02421
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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]
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  - journals/corr/abs-2306-03624
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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]
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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]
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  - journals/corr/abs-2309-14623
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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)
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  - journals/corr/abs-2312-09039
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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]
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  - journals/corr/abs-2312-13671
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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
[i41]
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  - journals/corr/abs-2201-09745
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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]
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  - journals/corr/abs-2203-02700
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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]
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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]
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  - journals/corr/abs-2204-03293
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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]
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  - journals/corr/abs-2204-10232
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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]
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  - journals/corr/abs-2205-12682
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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]
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  - journals/corr/abs-2205-12697
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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]
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  - journals/corr/abs-2207-12718
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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]
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  - journals/corr/abs-2208-01043
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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]
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  - journals/corr/abs-2208-07012
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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]
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  - journals/corr/abs-2208-11271
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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]
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  - journals/corr/abs-2208-11274
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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]
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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]
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  - journals/corr/abs-2209-00946
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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]
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  - journals/corr/abs-2209-08264
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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]
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  - journals/corr/abs-2210-01425
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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]
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  - journals/corr/abs-2210-05075
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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]
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  - journals/corr/abs-2210-12402
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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]
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  - journals/corr/abs-2211-05284
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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]
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  - journals/corr/abs-2211-07455
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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]
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  - journals/corr/abs-2212-02691
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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
[i20]
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  - journals/corr/abs-2105-08007
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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]
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  - journals/corr/abs-2106-03096
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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]
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  - journals/corr/abs-2106-13500
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Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang:
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks. CoRR abs/2106.13500 (2021)
[i17]
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  - journals/corr/abs-2107-01933
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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]
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  - journals/corr/abs-2107-04773
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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]
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  - journals/corr/abs-2107-05373
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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]
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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]
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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]
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  - journals/corr/abs-2108-06712
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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]
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  - journals/corr/abs-2108-12987
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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]
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  - journals/corr/abs-2109-07323
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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]
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  - journals/corr/abs-2110-00637
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Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang:
ML4C: Seeing Causality Through Latent Vicinity. CoRR abs/2110.00637 (2021)
[i8]
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  - journals/corr/abs-2110-15777
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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]
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  - journals/corr/abs-2111-08255
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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]
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  - journals/corr/abs-2111-15414
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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]
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  - journals/corr/abs-2112-00955
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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
[i4]
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  - journals/corr/abs-2008-11015
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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]
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  - journals/corr/abs-2010-12537
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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)
2017
[i2]
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  - journals/corr/abs-1712-09797
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Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang:
Automated Refactoring of Nested-IF Formulae in Spreadsheets. CoRR abs/1712.09797 (2017)
2016
[i1]
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  - journals/corr/XiongWYZH0016
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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)

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