Lun Du - RankMe

135 papers A* 30A 17Misc 3Journal 74Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Can We Predict Before Executing Machine Learning Agents? CoRR Jingsheng Zheng, Jintian Zhang, Yujie Luo, Yuren Mao, Yunjun Gao, Lun Du, Huajun Chen, Ningyu Zhang
2026	J	`jnl`	LLaDA2.1: Speeding Up Text Diffusion via Token Editing. CoRR Tiwei Bie, Maosong Cao, Xiang Cao, Bingsen Chen, Fuyuan Chen, Kun Chen, Lun Du, Daozhuo Feng, Haibo Feng, Mingliang Gong, Zhuocheng Gong, Yanmei Gu, Jian Guan, Kaiyuan Guan, Hongliang He, Zenan Huang, Juyong Jiang, Zhonghui Jiang, Zhenzhong Lan, Chengxi Li, Jianguo Li, Zehuan Li, Huabin Liu, Lin Liu, Guoshan Lu, Yuan Lu, Yuxin Ma, Xingyu Mou, Zhenxuan Pan, Kaida Qiu, Yuji Ren, Jianfeng Tan, Yiding Tian, Zian Wang, Lanning Wei, Tao Wu, Yipeng Xing, Wentao Ye, Liangyu Zha, Tianze Zhang, Xiaolu Zhang, Junbo Zhao, Da Zheng, Hao Zhong, Wanli Zhong, Jun Zhou, Liwang Zhu, Muzhi Zhu, Yihong Zhuang
2026	A*	`conf`	S²KT: Modeling Uncertainty in Knowledge Tracing via Semantic-aware Structured Gaussian Distributions. WWW Wenhui Wu, Tiancheng Zhang, Hengyu Liu, Lun Du, Zikai Li, Mingxing Shao, Minghe Yu, Yifang Yin, Ge Yu
2026	A*	`conf`	Task-Aware Retrieval Augmentation for Dynamic Recommendation. AAAI Zhen Tao, Xinke Jiang, Qingshuai Feng, Haoyu Zhang, Lun Du, Yuchen Fang, Hao Miao, Bangquan Xie, Qingqiang Sun
2026	A*	`conf`	Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study. AAAI Yuqi Zhu, Yi Zhong, Jintian Zhang, Ziheng Zhang, Shuofei Qiao, Yujie Luo, Lun Du, Da Zheng, Ningyu Zhang, Huajun Chen
2025	J	`jnl`	AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? CoRR Yuchen Tian, Kaixin Li, Hao Chen, Ziyang Luo, Hongzhan Lin, Sebastian Schelter, Lun Du, Jing Ma
2025	J	`jnl`	Autoformalization in the Era of Large Language Models: A Survey. CoRR Ke Weng, Lun Du, Sirui Li, Wangyue Lu, Haozhe Sun, Hengyu Liu, Tiancheng Zhang
2025	J	`jnl`	Automated Formalization via Conceptual Retrieval-Augmented LLMs. CoRR Wangyue Lu, Lun Du, Sirui Li, Ke Weng, Haozhe Sun, Hengyu Liu, Minghe Yu, Tiancheng Zhang, Ge Yu
2025	A	`conf`	CSRM-LLM: Embracing Multilingual LLMs for Cold-Start Relevance Matching in Emerging E-commerce Markets. CIKM Yujing Wang, Yiren Chen, Huoran Li, Chunxu Xu, Yuchong Luo, Xianghui Mao, Cong Li, Lun Du, Chunyang Ma, Qiqi Jiang, Yin Wang, Fan Gao, Wenting Mo, Pei Wen, Shantanu Kumar, Taejin Park, Yiwei Song, Vijay Rajaram, Tao Cheng, Sonu Durgia, Pranam Kolari
2025	J	`jnl`	CSRM-LLM: Embracing Multilingual LLMs for Cold-Start Relevance Matching in Emerging E-commerce Markets. CoRR Yujing Wang, Yiren Chen, Huoran Li, Chunxu Xu, Yuchong Luo, Xianghui Mao, Cong Li, Lun Du, Chunyang Ma, Qiqi Jiang, Yin Wang, Fan Gao, Wenting Mo, Pei Wen, Shantanu Kumar, Taejin Park, Yiwei Song, Vijay Rajaram, Tao Cheng, Sonu Durgia, Pranam Kolari
2025	J	`jnl`	Context-aware code summarization with multi-relational graph neural network. Autom. Softw. Eng. Yanlin Wang, Ensheng Shi, Lun Du, Xiaodi Yang, Yuxuan Hu, Yan Wang, Daya Guo, Shi Han, Hongyu Zhang, Dongmei Zhang
2025	J	`jnl`	Data Curation Through the Lens of Spectral Dynamics: Static Limits, Dynamic Acceleration, and Practical Oracles. CoRR Yizhou Zhang, Lun Du
2025	J	`jnl`	Evaluating large language models as raters in large-scale writing assessments: A psychometric framework for reliability and validity. Comput. Educ. Artif. Intell. Yuehan Wang, Jinyan Huang, Lun Du, Yuxin Guo, Ying Liu, Rong Wang
2025	J	`jnl`	EvolProver: Advancing Automated Theorem Proving by Evolving Formalized Problems via Symmetry and Difficulty. CoRR Yuchen Tian, Ruiyuan Huang, Xuanwu Wang, Jing Ma, Zengfeng Huang, Ziyang Luo, Hongzhan Lin, Da Zheng, Lun Du
2025	J	`jnl`	Executable Knowledge Graphs for Replicating AI Research. CoRR Yujie Luo, Zhuoyun Yu, Xuehai Wang, Yuqi Zhu, Ningyu Zhang, Lanning Wei, Lun Du, Da Zheng, Huajun Chen
2025	A	`conf`	Exploring the Explainability of Time Series Clustering: A Review of Methods and Practices. WSDM Zheng Huang, Hao Hao, Lun Du
2025	Misc	`conf`	Extract Information from Hybrid Long Documents Leveraging LLMs: A Framework and Dataset. ICASSP Chongjian Yue, Xinrun Xu, Xiaojun Ma, Lun Du, Zhiming Ding, Shi Han, Dongmei Zhang, Qi Zhang
2025	—	`conf`	Heterogeneous Temporal Graph Neural Networks for Link Prediction. WWW (Companion Volume) Chongjian Yue, Lun Du, Mengyuan Chen
2025	J	`jnl`	InnoGym: Benchmarking the Innovation Potential of AI Agents. CoRR Jintian Zhang, Kewei Xu, Jingsheng Zheng, Zhuoyun Yu, Yuqi Zhu, Yujie Luo, Lanning Wei, Shuofei Qiao, Lun Du, Da Zheng, Shumin Deng, Huajun Chen, Ningyu Zhang
2025	J	`jnl`	Knowledge Augmented Complex Problem Solving with Large Language Models: A Survey. CoRR Da Zheng, Lun Du, Junwei Su, Yuchen Tian, Yuqi Zhu, Jintian Zhang, Lanning Wei, Ningyu Zhang, Huajun Chen
2025	—	`conf`	LLM-powered Heterogeneous Information Network Analytics. WWW (Companion Volume) Hao Chen, Lun Du, Xu Chen, Xiaojun Ma, Jiang Zhang
2025	J	`jnl`	LLaDA2.0: Scaling Up Diffusion Language Models to 100B. CoRR Tiwei Bie, Maosong Cao, Kun Chen, Lun Du, Mingliang Gong, Zhuochen Gong, Yanmei Gu, Jiaqi Hu, Zenan Huang, Zhenzhong Lan, Chengxi Li, Chongxuan Li, Jianguo Li, Zehuan Li, Huabin Liu, Lin Liu, Guoshan Lu, Xiaocheng Lu, Yuxin Ma, Jianfeng Tan, Lanning Wei, Ji-Rong Wen, Yipeng Xing, Xiaolu Zhang, Junbo Zhao, Da Zheng, Jun Zhou, Junlin Zhou, Zhanchao Zhou, Liwang Zhu, Yihong Zhuang
2025	A*	`conf`	LightThinker: Thinking Step-by-Step Compression. EMNLP Jintian Zhang, Yuqi Zhu, Mengshu Sun, Yujie Luo, Shuofei Qiao, Lun Du, Da Zheng, Huajun Chen, Ningyu Zhang
2025	J	`jnl`	LightThinker: Thinking Step-by-Step Compression. CoRR Jintian Zhang, Yuqi Zhu, Mengshu Sun, Yujie Luo, Shuofei Qiao, Lun Du, Da Zheng, Huajun Chen, Ningyu Zhang
2025	J	`jnl`	MSC-180: A Benchmark for Automated Formal Theorem Proving from Mathematical Subject Classification. CoRR Sirui Li, Wangyue Lu, Xiaorui Shi, Ke Weng, Haozhe Sun, Minghe Yu, Tiancheng Zhang, Ge Yu, Hengyu Liu, Lun Du
2025	A	`conf`	On the Cross-type Homophily of Heterogeneous Graphs: Understanding and Unleashing. CIKM Zhen Tao, Ziyue Qiao, Chaoqi Chen, Zhengyi Yang, Lun Du, Qingqiang Sun
2025	J	`jnl`	On the Homophily of Heterogeneous Graphs: Understanding and Unleashing. CoRR Zhen Tao, Ziyue Qiao, Chaoqi Chen, Zhengyi Yang, Lun Du, Qingqiang Sun
2025	J	`jnl`	Reflective Paper-to-Code Reproduction Enabled by Fine-Grained Verification. CoRR Mingyang Zhou, Quanming Yao, Lun Du, Lanning Wei, Da Zheng
2025	—	`conf`	Retrieval-Augmented Language Models are Mimetic Theorem Provers. EMNLP (Findings) Wenjie Yang, Ruiyuan Huang, Jiaxing Guo, Zicheng Lyu, Tongshan Xu, Shengzhong Zhang, Lun Du, Da Zheng, Zengfeng Huang
2025	J	`jnl`	Right Is Not Enough: The Pitfalls of Outcome Supervision in Training LLMs for Math Reasoning. CoRR Jiaxing Guo, Wenjie Yang, Shengzhong Zhang, Tongshan Xu, Lun Du, Da Zheng, Zengfeng Huang
2025	A*	`conf`	SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing. ICSE Wenchao Gu, Ensheng Shi, Yanlin Wang, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Michael R. Lyu
2025	—	`conf`	SoTaNa: An Open-Source Software Engineering Instruction-Tuned Model. Forge@ICSE Ensheng Shi, Yanlin Wang, Fengji Zhang, Bei Chen, Hongyu Zhang, Yanli Wang, Daya Guo, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun
2025	J	`jnl`	Task-Aware Retrieval Augmentation for Dynamic Recommendation. CoRR Zhen Tao, Xinke Jiang, Qingshuai Feng, Haoyu Zhang, Lun Du, Yuchen Fang, Hao Miao, Bangquan Xie, Qingqiang Sun
2025	J	`jnl`	Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study. CoRR Yuqi Zhu, Yi Zhong, Jintian Zhang, Ziheng Zhang, Shuofei Qiao, Yujie Luo, Lun Du, Da Zheng, Huajun Chen, Ningyu Zhang
2025	J	`jnl`	dInfer: An Efficient Inference Framework for Diffusion Language Models. CoRR Yuxin Ma, Lun Du, Lanning Wei, Kun Chen, Qian Xu, Kangyu Wang, Guofeng Feng, Guoshan Lu, Lin Liu, Xiaojing Qi, Xinyuan Zhang, Zhen Tao, Haibo Feng, Ziyun Jiang, Ying Xu, Zenan Huang, Yihong Zhuang, Haokai Xu, Jiaqi Hu, Zhenzhong Lan, Junbo Zhao, Jianguo Li, Da Zheng
2024	J	`jnl`	Extract Information from Hybrid Long Documents Leveraging LLMs: A Framework and Dataset. CoRR Chongjian Yue, Xinrun Xu, Xiaojun Ma, Lun Du, Zhiming Ding, Shi Han, Dongmei Zhang, Qi Zhang
2024	J	`jnl`	Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models. CoRR Yuyan Chen, Qiang Fu, Ge Fan, Lun Du, Jian-Guang Lou, Shi Han, Dongmei Zhang, Zhixu Li, Yanghua Xiao
2024	J	`jnl`	Make Heterophilic Graphs Better Fit GNN: A Graph Rewiring Approach. IEEE Trans. Knowl. Data Eng. Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang
2024	A	`conf`	Professional Network Matters: Connections Empower Person-Job Fit. WSDM Hao Chen, Lun Du, Yuxuan Lu, Qiang Fu, Xu Chen, Shi Han, Yanbin Kang, Guangming Lu, Zi Li
2024	J	`jnl`	Professional Network Matters: Connections Empower Person-Job Fit. CoRR Hao Chen, Lun Du, Yuxuan Lu, Qiang Fu, Xu Chen, Shi Han, Yanbin Kang, Guangming Lu, Zi Li
2024	J	`jnl`	Prompting Large Language Models with Divide-and-Conquer Program for Discerning Problem Solving. CoRR Yizhou Zhang, Lun Du, Defu Cao, Qiang Fu, Yan Liu
2024	J	`jnl`	SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing. CoRR Wenchao Gu, Ensheng Shi, Yanlin Wang, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Michael R. Lyu
2024	A	`conf`	Source Free Graph Unsupervised Domain Adaptation. WSDM Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang
2024	—	`conf`	TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning. EMNLP (Findings) Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang
2024	J	`jnl`	TAROT: A Hierarchical Framework with Multitask Co-Pretraining on Semi-Structured Data towards Effective Person-Job Fit. CoRR Yihan Cao, Xu Chen, Lun Du, Hao Chen, Qiang Fu, Shi Han, Yushu Du, Yanbin Kang, Guangming Lu, Zi Li
2024	Misc	`conf`	TAROT: A Hierarchical Framework with Multitask co-pretraining on Semi-Structured Data Towards Effective Person-Job fit. ICASSP Yihan Cao, Xu Chen, Lun Du, Hao Chen, Qiang Fu, Shi Han, Yushu Du, Yanbin Kang, Guangming Lu, Zi Li
2024	—	`conf`	Tackling Long Code Search with Splitting, Encoding, and Aggregating. LREC/COLING Fan Hu, Yanlin Wang, Lun Du, Hongyu Zhang, Dongmei Zhang, Xirong Li
2024	A*	`conf`	Text-to-Image Generation for Abstract Concepts. AAAI Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang
2024	A*	`conf`	Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries. AAAI 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	—	`conf`	Toward Mitigating Misinformation and Social Media Manipulation in LLM Era. WWW (Companion Volume) Yizhou Zhang, Karishma Sharma, Lun Du, Yan Liu
2023	J	`jnl`	A subspace constraint based approach for fast hierarchical graph embedding. World Wide Web (WWW) Minghe Yu, Xu Chen, Xinhao Gu, Hengyu Liu, Lun Du
2023	A*	`conf`	Causal Discovery from Temporal Data. KDD Chang Gong, Di Yao, Chuzhe Zhang, Wenbin Li, Jingping Bi, Lun Du, Jin Wang
2023	A*	`conf`	Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention. IJCAI Hongjun Wang, Jiyuan Chen, Lun Du, Qiang Fu, Shi Han, Xuan Song
2023	J	`jnl`	Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention. CoRR Hongjun Wang, Jiyuan Chen, Lun Du, Qiang Fu, Shi Han, Xuan Song
2023	J	`jnl`	CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. Empir. Softw. Eng. Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
2023	A*	`conf`	CoCoSoDa: Effective Contrastive Learning for Code Search. ICSE Ensheng Shi, Yanlin Wang, Wenchao Gu, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
2023	—	`conf`	Concept Understanding in Large Language Models: An Empirical Study. Tiny Papers @ ICLR Jiayi Liao, Xu Chen, Lun Du
2023	A	`conf`	DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms. WSDM Feifan Li, Lun Du, Qiang Fu, Shi Han, Yushu Du, Guangming Lu, Zi Li
2023	J	`jnl`	GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking. CoRR Jiayan Guo, Lun Du, Hengyu Liu
2023	A*	`conf`	GetPt: Graph-enhanced General Table Pre-training with Alternate Attention Network. KDD 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	A	`conf`	Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models. CIKM Yuyan Chen, Qiang Fu, Ge Fan, Lun Du, Jian-Guang Lou, Shi Han, Dongmei Zhang, Zhixu Li, Yanghua Xiao
2023	A*	`conf`	Homophily-oriented Heterogeneous Graph Rewiring. WWW Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
2023	J	`jnl`	Homophily-oriented Heterogeneous Graph Rewiring. CoRR Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
2023	J	`jnl`	Leveraging LLMs for KPIs Retrieval from Hybrid Long-Document: A Comprehensive Framework and Dataset. CoRR Chongjian Yue, Xinrun Xu, Xiaojun Ma, Lun Du, Hengyu Liu, Zhiming Ding, Yanbing Jiang, Shi Han, Dongmei Zhang
2023	A	`conf`	MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution. WSDM Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang
2023	A*	`conf`	On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering. KDD Jiayan Guo, Lun Du, Xu Chen, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang, Yan Zhang
2023	J	`jnl`	On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering. CoRR Jiayan Guo, Lun Du, Xu Chen, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang, Yan Zhang
2023	A*	`conf`	Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy. ICLR Jinsong Zhang, Qiang Fu, Xu Chen, Lun Du, Zelin Li, Gang Wang, Xiaoguang Liu, Shi Han, Dongmei Zhang
2023	—	`conf`	Propagate Deeper and Adaptive Graph Convolutional Networks. Tiny Papers @ ICLR Sisi Zhang, Lun Du, Fan Li, Ge Yu, Mengyuan Chen
2023	A	`conf`	Revisiting Code Search in a Two-Stage Paradigm. WSDM Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang
2023	A*	`conf`	Robust Mid-Pass Filtering Graph Convolutional Networks. WWW Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
2023	J	`jnl`	Robust Mid-Pass Filtering Graph Convolutional Networks. CoRR Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
2023	A*	`conf`	SheetPT: Spreadsheet Pre-training Based on Hierarchical Attention Network. AAAI Ran Jia, Qiyu Li, Zihan Xu, Xiaoyuan Jin, Lun Du, Haoyu Dong, Xiao Lv, Shi Han, Dongmei Zhang
2023	J	`jnl`	SoTaNa: The Open-Source Software Development Assistant. CoRR Ensheng Shi, Fengji Zhang, Yanlin Wang, Bei Chen, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
2023	J	`jnl`	TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning. CoRR Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang
2023	J	`jnl`	Text-to-Image Generation for Abstract Concepts. CoRR Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang
2023	J	`jnl`	Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries. CoRR Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
2023	A	`conf`	Towards Efficient Fine-Tuning of Pre-trained Code Models: An Experimental Study and Beyond. ISSTA Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun
2023	J	`jnl`	Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond. CoRR Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun
2023	A*	`conf`	Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing. AAAI Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Shi Han, Dongmei Zhang, Lei Hou, Juanzi Li, Jidong Zhai
2022	J	`jnl`	A large-scale empirical study of commit message generation: models, datasets and evaluation. Empir. Softw. Eng. Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
2022	—	`conf`	Accelerating Code Search with Deep Hashing and Code Classification. ACL (1) Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu
2022	J	`jnl`	Accelerating Code Search with Deep Hashing and Code Classification. CoRR Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu
2022	J	`jnl`	DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms. CoRR Feifan Li, Lun Du, Qiang Fu, Shi Han, Yushu Du, Guangming Lu, Zi Li
2022	J	`jnl`	ECMG: Exemplar-based Commit Message Generation. CoRR Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
2022	J	`jnl`	Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation. CoRR Ensheng Shi, Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
2022	A*	`conf`	GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily. WWW Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang
2022	J	`jnl`	Guiding the PLMs with Semantic Anchors as Intermediate Supervision: Towards Interpretable Semantic Parsing. CoRR Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Shi Han, Dongmei Zhang, Lei Hou, Juanzi Li, Jidong Zhai
2022	J	`jnl`	HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction. CoRR Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao
2022	J	`jnl`	Inferring Network Structure with Unobservable Nodes from Time Series Data. CoRR Mengyuan Chen, Yan Zhang, Zhang Zhang, Lun Du, Jiang Zhang
2022	A	`conf`	Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. CIKM Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang
2022	J	`jnl`	Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. CoRR Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang
2022	J	`jnl`	Long Code for Code Search. CoRR Fan Hu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Xirong Li
2022	J	`jnl`	MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution. CoRR Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang
2022	J	`jnl`	Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach. CoRR Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang
2022	A*	`conf`	Neuron with Steady Response Leads to Better Generalization. NeurIPS Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
2022	A*	`conf`	On the Evaluation of Neural Code Summarization. ICSE Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun
2022	A*	`conf`	RACE: Retrieval-augmented Commit Message Generation. EMNLP Ensheng Shi, Yanlin Wang, Wei Tao, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
2022	J	`jnl`	Revisiting Code Search in a Two-Stage Paradigm. CoRR Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang
2022	A*	`conf`	TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation. KDD Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi
2022	A	`conf`	Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective. WSDM Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang
2021	A	`conf`	AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs. CIKM Dongyue Li, Tao Yang, Lun Du, Zhezhi He, Li Jiang
2021	—	`conf`	CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. EMNLP (1) Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
2021	J	`jnl`	CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. CoRR Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
2021	J	`jnl`	CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network. CoRR Yanlin Wang, Ensheng Shi, Lun Du, Xiaodi Yang, Yuxuan Hu, Shi Han, Hongyu Zhang, Dongmei Zhang
2021	Misc	`conf`	Fast Hierarchy Preserving Graph Embedding via Subspace Constraints. ICASSP Xu Chen, Lun Du, Mengyuan Chen, Yun Wang, Qingqing Long, Kunqing Xie
2021	J	`jnl`	GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily. CoRR Lun Du, Xiaozhou Shi, Qiang Fu, Hengyu Liu, Shi Han, Dongmei Zhang
2021	A	`conf`	Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search. CIKM Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang
2021	J	`jnl`	Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning for Semantic Code Search. CoRR Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang
2021	J	`jnl`	Network Embedding on Hierarchical Community Structure Network. ACM Trans. Knowl. Discov. Data Guojie Song, Yun Wang, Lun Du, Yi Li, Junshan Wang
2021	J	`jnl`	Neural Code Summarization: How Far Are We? CoRR Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun
2021	A	`conf`	Neuron Campaign for Initialization Guided by Information Bottleneck Theory. CIKM Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
2021	J	`jnl`	Neuron Campaign for Initialization Guided by Information Bottleneck Theory. CoRR Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
2021	J	`jnl`	Neuron with Steady Response Leads to Better Generalization. CoRR Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
2021	A	`conf`	On the Evaluation of Commit Message Generation Models: An Experimental Study. ICSME Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
2021	J	`jnl`	On the Evaluation of Commit Message Generation Models: An Experimental Study. CoRR Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
2021	J	`jnl`	Source Free Unsupervised Graph Domain Adaptation. CoRR Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang
2021	A*	`conf`	TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data. KDD Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang
2021	J	`jnl`	TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data. CoRR Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang
2021	J	`jnl`	Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective. CoRR Lun Du, Xu Chen, Fei Gao, Kunqing Xie, Shi Han, Dongmei Zhang
2020	A*	`conf`	Domain Adaptive Classification on Heterogeneous Information Networks. IJCAI Shuwen Yang, Guojie Song, Yilun Jin, Lun Du
2020	J	`jnl`	Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network. CoRR Mengyuan Chen, Jiang Zhang, Zhang Zhang, Lun Du, Qiao Hu, Shuo Wang, Jiaqi Zhu
2020	J	`jnl`	Inferring explicit and implicit social ties simultaneously in mobile social networks. Sci. China Inf. Sci. Guojie Song, Yuanhao Li, Junshan Wang, Lun Du
2020	A*	`conf`	TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting. ICDM Xu Chen, Yuanxing Zhang, Lun Du, Zheng Fang, Yi Ren, Kaigui Bian, Kunqing Xie
2020	J	`jnl`	TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting. CoRR Xu Chen, Yuanxing Zhang, Lun Du, Zheng Fang, Yi Ren, Kaigui Bian, Kunqing Xie
2019	A*	`conf`	DANE: Domain Adaptive Network Embedding. IJCAI Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin
2019	J	`jnl`	DANE: Domain Adaptive Network Embedding. CoRR Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin
2019	A	`conf`	Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach. CIKM Qingqing Long, Yiming Wang, Lun Du, Guojie Song, Yilun Jin, Wei Lin
2019	J	`jnl`	Real-Time Estimation of the Urban Air Quality with Mobile Sensor System. ACM Trans. Knowl. Discov. Data Yun Wang, Guojie Song, Lun Du, Zhicong Lu
2019	A*	`conf`	Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks. IJCAI Yun Wang, Lun Du, Guojie Song, Xiaojun Ma, Lichen Jin, Wei Lin, Fei Sun
2019	A*	`conf`	Tag2Vec: Learning Tag Representations in Tag Networks. WWW Junshan Wang, Zhicong Lu, Guojie Song, Yue Fan, Lun Du, Wei Lin
2019	J	`jnl`	Tag2Vec: Learning Tag Representations in Tag Networks. CoRR Junshan Wang, Zhicong Lu, Guojie Song, Yue Fan, Lun Du, Wei Lin
2018	A*	`conf`	Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding. IJCAI Lun Du, Yun Wang, Guojie Song, Zhicong Lu, Junshan Wang
2018	A*	`conf`	Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach. IJCAI Lun Du, Zhicong Lu, Yun Wang, Guojie Song, Yiming Wang, Wei Chen
2018	J	`jnl`	Traffic Events Oriented Dynamic Traffic Assignment Model for Expressway Network: A Network Flow Approach. IEEE Intell. Transp. Syst. Mag. Lun Du, Guojie Song, Yiming Wang, Jipeng Huang, Mengfei Ruan, Zhanyuan Yu