Shi Han

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 135

Top Venues

Publications

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)
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)
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 (2024)
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)
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 (2024)
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)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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)
Mengkang Hu, Haoyu Dong, Ping Luo, Shi Han, Dongmei Zhang
KET-QA: A Dataset for Knowledge Enhanced Table Question Answering. CoRR (2024)
Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang
Source Free Graph Unsupervised Domain Adaptation. WSDM (2024)
Mengkang Hu, Haoyu Dong, Ping Luo, Shi Han, Dongmei Zhang
KET-QA: A Dataset for Knowledge Enhanced Table Question Answering. LREC/COLING (2024)
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)
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 (2024)
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 (2024)
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 (2024)
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)
Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
Homophily-oriented Heterogeneous Graph Rewiring. CoRR (2023)
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 (2023)
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)
Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang
Revisiting Code Search in a Two-Stage Paradigm. WSDM (2023)
Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
Robust Mid-Pass Filtering Graph Convolutional Networks. WWW (2023)
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) (2023)
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 (2023)
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 (2023)
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 (2023)
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
Demonstration of InsightPilot: An LLM-Empowered Automated Data Exploration System. CoRR (2023)
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)
Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
Robust Mid-Pass Filtering Graph Convolutional Networks. CoRR (2023)
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)
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 (2023)
Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang
CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement. ICLR (2023)
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)
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)
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) (2023)
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 (2023)
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 (2023)
Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang
Text-to-Image Generation for Abstract Concepts. CoRR (2023)
Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang
ML4C: Seeing Causality Through Latent Vicinity. SDM (2023)
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)
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)
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)
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 (2023)
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)
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)
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)
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)
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
InsightPilot: An LLM-Empowered Automated Data Exploration System. EMNLP (Demos) (2023)
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)
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)
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 (2023)
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 (2022)
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)
Ensheng Shi, Yanlin Wang, Wei Tao, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
RACE: Retrieval-augmented Commit Message Generation. EMNLP (2022)
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) (2022)
Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
Neuron with Steady Response Leads to Better Generalization. NeurIPS (2022)
Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang
ML4S: Learning Causal Skeleton from Vicinal Graphs. KDD (2022)
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)
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)
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 (2022)
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)
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 (2022)
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 (2022)
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 (2022)
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)
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)
Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation. EMNLP (2022)
Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang
Revisiting Code Search in a Two-Stage Paradigm. CoRR (2022)
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 (2022)
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)
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 (2022)
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 (2022)
Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems. CoRR (2022)
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)
Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang
pureGAM: Learning an Inherently Pure Additive Model. KDD (2022)
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)
Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems. EMNLP (2022)
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 (2022)
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
XInsight: eXplainable Data Analysis Through The Lens of Causality. CoRR (2022)
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 (2022)
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 (2022)
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)
Fan Hu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Xirong Li
Long Code for Code Search. CoRR (2022)
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)
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 (2022)
Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach. CoRR (2022)
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
ECMG: Exemplar-based Commit Message Generation. CoRR (2022)
Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation. CoRR (2022)
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 (2022)
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)
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 (2022)
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 (2021)
Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks. CoRR (2021)
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 (2021)
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
Neuron Campaign for Initialization Guided by Information Bottleneck Theory. CoRR (2021)
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
Neuron Campaign for Initialization Guided by Information Bottleneck Theory. CIKM (2021)
Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang
Source Free Unsupervised Graph Domain Adaptation. CoRR (2021)
Zhoujun Cheng, Haoyu Dong, Fan Cheng, Ran Jia, Pengfei Wu, Shi Han, Dongmei Zhang
FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shi Han