Lun Du
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
62
Venues
15
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
62 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Task-Aware Retrieval Augmentation for Dynamic Recommendation. | Zhen Tao, Xinke Jiang, Qingshuai Feng, Haoyu Zhang, Lun Du, Yuchen Fang, Hao Miao, Bangquan Xie, Qingqiang Sun |
| 2026 | AAAI | Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study. | Yuqi Zhu, Yi Zhong, Jintian Zhang, Ziheng Zhang, Shuofei Qiao, Yujie Luo, Lun Du, Da Zheng, Ningyu Zhang, Huajun Chen |
| 2026 | ACL | What Makes AI Research Replicable? Executable Knowledge Graphs as Scientific Knowledge Representations. | Yujie Luo, Zhuoyun Yu, Xuehai Wang, Yuqi Zhu, Ningyu Zhang, Lanning Wei, Lun Du, Da Zheng, Huajun Chen |
| 2026 | ACL | StructMem: Structured Memory for Long-Horizon Behavior in LLMs. | Buqiang Xu, Yijun Chen, Jizhan Fang, Ruobin Zhong, Yunzhi Yao, Yuqi Zhu, Lun Du, Shumin Deng |
| 2026 | ACL | Can We Predict Before Executing Machine Learning Agents? | Jingsheng Zheng, Jintian Zhang, Yujie Luo, Yuren Mao, Yunjun Gao, Lun Du, Huajun Chen, Ningyu Zhang |
| 2026 | ICPR | SigRef: Verification-Driven Reflection for Faithful Paper-to-Code Development. | Mingyang Zhou, Quanming Yao, Lun Du, Lanning Wei, Da Zheng |
| 2026 | WWW | S²KT: Modeling Uncertainty in Knowledge Tracing via Semantic-aware Structured Gaussian Distributions. | Wenhui Wu, Tiancheng Zhang, Hengyu Liu, Lun Du, Zikai Li, Mingxing Shao, Minghe Yu, Yifang Yin, Ge Yu |
| 2025 | CIKM | On the Cross-type Homophily of Heterogeneous Graphs: Understanding and Unleashing. | Zhen Tao, Ziyue Qiao, Chaoqi Chen, Zhengyi Yang, Lun Du, Qingqiang Sun |
| 2025 | CIKM | CSRM-LLM: Embracing Multilingual LLMs for Cold-Start Relevance Matching in Emerging E-commerce Markets. | 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 | EMNLP | Retrieval-Augmented Language Models are Mimetic Theorem Provers. | Wenjie Yang, Ruiyuan Huang, Jiaxing Guo, Zicheng Lyu, Tongshan Xu, Shengzhong Zhang, Lun Du, Da Zheng, Zengfeng Huang |
| 2025 | EMNLP | LightThinker: Thinking Step-by-Step Compression. | Jintian Zhang, Yuqi Zhu, Mengshu Sun, Yujie Luo, Shuofei Qiao, Lun Du, Da Zheng, Huajun Chen, Ningyu Zhang |
| 2025 | ICASSP | Extract Information from Hybrid Long Documents Leveraging LLMs: A Framework and Dataset. | Chongjian Yue, Xinrun Xu, Xiaojun Ma, Lun Du, Zhiming Ding, Shi Han, Dongmei Zhang, Qi Zhang |
| 2025 | ICSE | SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing. | Wenchao Gu, Ensheng Shi, Yanlin Wang, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Michael R. Lyu |
| 2025 | WWW | LLM-powered Heterogeneous Information Network Analytics. | Hao Chen, Lun Du, Xu Chen, Xiaojun Ma, Jiang Zhang |
| 2025 | WWW | Heterogeneous Temporal Graph Neural Networks for Link Prediction. | Chongjian Yue, Lun Du, Mengyuan Chen |
| 2025 | WSDM | Exploring the Explainability of Time Series Clustering: A Review of Methods and Practices. | Zheng Huang, Hao Hao, Lun Du |
| 2024 | AAAI | Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries. | Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang |
| 2024 | AAAI | Text-to-Image Generation for Abstract Concepts. | Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang |
| 2024 | COLING | Tackling Long Code Search with Splitting, Encoding, and Aggregating. | Fan Hu, Yanlin Wang, Lun Du, Hongyu Zhang, Dongmei Zhang, Xirong Li |
| 2024 | EMNLP | TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning. | Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang |
| 2024 | ICASSP | TAROT: A Hierarchical Framework with Multitask co-pretraining on Semi-Structured Data Towards Effective Person-Job fit. | Yihan Cao, Xu Chen, Lun Du, Hao Chen, Qiang Fu, Shi Han, Yushu Du, Yanbin Kang, Guangming Lu, Zi Li |
| 2024 | WWW | Toward Mitigating Misinformation and Social Media Manipulation in LLM Era. | Yizhou Zhang, Karishma Sharma, Lun Du, Yan Liu |
| 2024 | WSDM | Professional Network Matters: Connections Empower Person-Job Fit. | Hao Chen, Lun Du, Yuxuan Lu, Qiang Fu, Xu Chen, Shi Han, Yanbin Kang, Guangming Lu, Zi Li |
| 2024 | WSDM | Source Free Graph Unsupervised Domain Adaptation. | Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang |
| 2023 | AAAI | SheetPT: Spreadsheet Pre-training Based on Hierarchical Attention Network. | Ran Jia, Qiyu Li, Zihan Xu, Xiaoyuan Jin, Lun Du, Haoyu Dong, Xiao Lv, Shi Han, Dongmei Zhang |
| 2023 | AAAI | Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing. | Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Shi Han, Dongmei Zhang, Lei Hou, Juanzi Li, Jidong Zhai |
| 2023 | CIKM | Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models. | Yuyan Chen, Qiang Fu, Ge Fan, Lun Du, Jian-Guang Lou, Shi Han, Dongmei Zhang, Zhixu Li, Yanghua Xiao |
| 2023 | ICLR | Concept Understanding in Large Language Models: An Empirical Study. | Jiayi Liao, Xu Chen, Lun Du |
| 2023 | ICLR | Propagate Deeper and Adaptive Graph Convolutional Networks. | Sisi Zhang, Lun Du, Fan Li, Ge Yu, Mengyuan Chen |
| 2023 | ICLR | Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy. | Jinsong Zhang, Qiang Fu, Xu Chen, Lun Du, Zelin Li, Gang Wang, Xiaoguang Liu, Shi Han, Dongmei Zhang |
| 2023 | IJCAI | Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention. | Hongjun Wang, Jiyuan Chen, Lun Du, Qiang Fu, Shi Han, Xuan Song |
| 2023 | ICSE | CoCoSoDa: Effective Contrastive Learning for Code Search. | Ensheng Shi, Yanlin Wang, Wenchao Gu, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun |
| 2023 | ISSTA | Towards Efficient Fine-Tuning of Pre-trained Code Models: An Experimental Study and Beyond. | Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun |
| 2023 | KDD | Causal Discovery from Temporal Data. | Chang Gong, Di Yao, Chuzhe Zhang, Wenbin Li, Jingping Bi, Lun Du, Jin Wang |
| 2023 | KDD | On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering. | Jiayan Guo, Lun Du, Xu Chen, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang, Yan Zhang |
| 2023 | KDD | GetPt: Graph-enhanced General Table Pre-training with Alternate Attention Network. | Ran Jia, Haoming Guo, Xiaoyuan Jin, Chao Yan, Lun Du, Xiaojun Ma, Tamara Stankovic, Marko Lozajic, Goran Zoranovic, Igor Ilic, Shi Han, Dongmei Zhang |
| 2023 | WWW | Homophily-oriented Heterogeneous Graph Rewiring. | Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang |
| 2023 | WWW | Robust Mid-Pass Filtering Graph Convolutional Networks. | Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang |
| 2023 | WSDM | MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution. | Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang |
| 2023 | WSDM | Revisiting Code Search in a Two-Stage Paradigm. | Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang |
| 2023 | WSDM | DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms. | Feifan Li, Lun Du, Qiang Fu, Shi Han, Yushu Du, Guangming Lu, Zi Li |
| 2022 | ACL | Accelerating Code Search with Deep Hashing and Code Classification. | Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu |
| 2022 | CIKM | Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. | Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang |
| 2022 | EMNLP | RACE: Retrieval-augmented Commit Message Generation. | Ensheng Shi, Yanlin Wang, Wei Tao, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun |
| 2022 | ICSE | On the Evaluation of Neural Code Summarization. | Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun |
| 2022 | KDD | TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation. | Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi |
| 2022 | WWW | GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily. | Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang |
| 2022 | WSDM | Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective. | Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang |
| 2021 | CIKM | Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search. | Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang |
| 2021 | CIKM | AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs. | Dongyue Li, Tao Yang, Lun Du, Zhezhi He, Li Jiang |
| 2021 | CIKM | Neuron Campaign for Initialization Guided by Information Bottleneck Theory. | Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang |
| 2021 | EMNLP | CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. | Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun |
| 2021 | ICASSP | Fast Hierarchy Preserving Graph Embedding via Subspace Constraints. | Xu Chen, Lun Du, Mengyuan Chen, Yun Wang, Qingqing Long, Kunqing Xie |
| 2021 | KDD | TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data. | Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang |
| 2020 | ICDM | TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting. | Xu Chen, Yuanxing Zhang, Lun Du, Zheng Fang, Yi Ren, Kaigui Bian, Kunqing Xie |
| 2020 | IJCAI | Domain Adaptive Classification on Heterogeneous Information Networks. | Shuwen Yang, Guojie Song, Yilun Jin, Lun Du |
| 2019 | CIKM | Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach. | Qingqing Long, Yiming Wang, Lun Du, Guojie Song, Yilun Jin, Wei Lin |
| 2019 | IJCAI | Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks. | Yun Wang, Lun Du, Guojie Song, Xiaojun Ma, Lichen Jin, Wei Lin, Fei Sun |
| 2019 | IJCAI | DANE: Domain Adaptive Network Embedding. | Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin |
| 2019 | WWW | Tag2Vec: Learning Tag Representations in Tag Networks. | Junshan Wang, Zhicong Lu, Guojie Song, Yue Fan, Lun Du, Wei Lin |
| 2018 | IJCAI | Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach. | Lun Du, Zhicong Lu, Yun Wang, Guojie Song, Yiming Wang, Wei Chen |
| 2018 | IJCAI | Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding. | Lun Du, Yun Wang, Guojie Song, Zhicong Lu, Junshan Wang |