| 2026 | ACL | If an LLM Were a Character, Would It Know Its Own Story? Evaluating Lifelong Learning in LLMs. | Siqi Fan, Xiusheng Huang, Yiqun Yao, Xuezhi Fang, Kang Liu, Peng Han, Shuo Shang, Aixin Sun, Yequan Wang |
| 2026 | ICDE | PORCA: Root Cause Analysis with Partially Observed Data. | Chang Gong, Di Yao, Jin Wang, Wenbin Li, Lanting Fang, Yongtao Xie, Kaiyu Feng, Peng Han, Jingping Bi |
| 2025 | AAAI | SSL-STMFormer Self-Supervised Learning Spatio-Temporal Entanglement Transformer for Traffic Flow Prediction. | Zetao Li, Zheng Hu, Peng Han, Yu Gu, Shimin Cai |
| 2025 | ACL | Position-Aware Depth Decay Decoding (D³): Boosting Large Language Model Inference Efficiency. | Siqi Fan, Xuezhi Fang, Xingrun Xing, Peng Han, Shuo Shang, Yequan Wang |
| 2025 | DASFAA | DRE: Generating Recommendation Explanations by Aligning Large Language Models at Data-Level. | Yifan Wang, Shen Gao, Jiabao Fang, Lisi Chen, Peng Han, Shuo Shang |
| 2025 | IJCAI | Not All Layers of LLMs Are Necessary During Inference. | Siqi Fan, Xin Jiang, Xiang Li, Xuying Meng, Peng Han, Shuo Shang, Aixin Sun, Yequan Wang |
| 2025 | IJCAI | Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation. | Xuan Rao, Shuo Shang, Lisi Chen, Renhe Jiang, Peng Han |
| 2025 | IJCAI | ST-TAR: An Efficient Spatio-Temporal Learning Framework for Traffic Accident Risk Forecasting. | Hongyu Wang, Lisi Chen, Shuo Shang, Peng Han, Christian S. Jensen |
| 2025 | IJCNN | Multi-Behavior Graph Recommendation with Fusion of Sequential Information. | Chunjing Xiao, Peng Han, Ranhao Guo, Wei Fan, Lan Liu |
| 2025 | INDIN | An Integrated Approach for Path Planning and Trajectory Tracking of Unmanned Surface Vehicles Based on Reinforcement Learning and Backstepping. | Aoshuang Mei, Peng Han, Bofeng Su, Kuan Li, Yihuan Jin, Hongtian Chen |
| 2025 | KDD | Grid and Road Expressions Are Complementary for Trajectory Representation Learning. | Silin Zhou, Shuo Shang, Lisi Chen, Peng Han, Christian S. Jensen |
| 2025 | WWW | Seed: Bridging Sequence and Diffusion Models for Road Trajectory Generation. | Xuan Rao, Shuo Shang, Renhe Jiang, Peng Han, Lisi Chen |
| 2024 | AAAI | KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding. | Zhen Chen, Dalin Zhang, Shanshan Feng, Kaixuan Chen, Lisi Chen, Peng Han, Shuo Shang |
| 2024 | AAAI | Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring. | Peng Tang, Zhiqiang Xu, Chunlai Zhou, Pengfei Wei, Peng Han, Xin Cao, Tobias Lasser |
| 2024 | CoDIT | Improvement of Small Target Detection Algorithm for UAVs. | Yonghang Su, Lirong Yan, Yibo Wu, Peng Han, Yikang Zhai |
| 2024 | ICDE | Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering. | Di Yao, Jin Wang, Wenjie Chen, Fangda Guo, Peng Han, Jingping Bi |
| 2024 | ICDE | Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting. | Minbo Ma, Jilin Hu, Christian S. Jensen, Fei Teng, Peng Han, Zhiqiang Xu, Tianrui Li |
| 2024 | IECON | Design and Analysis of Electric Machines Assisted by Scientific Machine Learning. | Peng Han, Jingchen Liang, Pavani Gottipati, Mark Solveson |
| 2023 | AAAI | Next POI Recommendation with Dynamic Graph and Explicit Dependency. | Feiyu Yin, Yong Liu, Zhiqi Shen, Lisi Chen, Shuo Shang, Peng Han |
| 2023 | AAAI | GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM. | Silin Zhou, Jing Li, Hao Wang, Shuo Shang, Peng Han |
| 2023 | AAAI | Heterogeneous Region Embedding with Prompt Learning. | Silin Zhou, Dan He, Lisi Chen, Shuo Shang, Peng Han |
| 2023 | ICONIP | Active Learning for Open-Set Annotation Using Contrastive Query Strategy. | Peng Han, Zhiming Chen, Fei Jiang, Jiaxin Si |
| 2023 | ICPADS | FedMPM: A Personalized Federated Learning With Mixed Multi-Stage Private Models. | Yuqi Gan, Peng Han, Yuanyuan Li, Xin Huang |
| 2023 | ICPADS | Personalized Federated Learning with Local Optimization Models. | Shenhai Zheng, Haihan Xu, Peng Han, Yuanyuan Li, Yufei Chen, Qing Chen |
| 2023 | WWW | EmpMFF: A Multi-factor Sequence Fusion Framework for Empathetic Response Generation. | Xiaobing Pang, Yequan Wang, Siqi Fan, Lisi Chen, Shuo Shang, Peng Han |
| 2023 | TrustCom | Efficient Covert Communication Scheme Based on Ethereum. | Yuanyuan Li, Wei Chen, Xin Huang, Peng Han, Shenhai Zheng, Zhiqin Zhu |
| 2022 | AAAI | GNN-Retro: Retrosynthetic Planning with Graph Neural Networks. | Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang |
| 2022 | IJCAI | Interactive Information Extraction by Semantic Information Graph. | Siqi Fan, Yequan Wang, Jing Li, Zheng Zhang, Shuo Shang, Peng Han |
| 2022 | IJCAI | FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting. | Xuan Rao, Hao Wang, Liang Zhang, Jing Li, Shuo Shang, Peng Han |
| 2022 | KDD | RetroGraph: Retrosynthetic Planning with Graph Search. | Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin |
| 2022 | KDD | MSDR: Multi-Step Dependency Relation Networks for Spatial Temporal Forecasting. | Dachuan Liu, Jin Wang, Shuo Shang, Peng Han |
| 2022 | KDD | Graph-Flashback Network for Next Location Recommendation. | Xuan Rao, Lisi Chen, Yong Liu, Shuo Shang, Bin Yao, Peng Han |
| 2022 | MMSP | Scene Re-ranking for Recommendation. | Peng Han, Shuo Shang |
| 2021 | KDD | A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks. | Peng Han, Jin Wang, Di Yao, Shuo Shang, Xiangliang Zhang |
| 2021 | PDCAT | FastDCF: A Partial Index Based Distributed and Scalable Near-Miss Code Clone Detection Approach for Very Large Code Repositories. | Liming Yang, Yi Ren, Jianbo Guan, Bao Li, Jun Ma, Peng Han, Yusong Tan |
| 2020 | IJCAI | Contextualized Point-of-Interest Recommendation. | Peng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang, Shuo Shang |
| 2020 | IJCAI | Learning Personalized Itemset Mapping for Cross-Domain Recommendation. | Yinan Zhang, Yong Liu, Peng Han, Chunyan Miao, Lizhen Cui, Baoli Li, Haihong Tang |
| 2019 | HCI | Ontology Construction for Eldercare Services with an Agglomerative Hierarchical Clustering Method. | Peng Han, Yulong Li, Yue Yin, Ning An |
| 2019 | ICDE | AUC-MF: Point of Interest Recommendation with AUC Maximization. | Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Panos Kalnis |
| 2019 | KDD | GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization. | Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu, Jiayu Zhou, Xin Gao, Panos Kalnis |
| 2018 | HCI | Building an Ontology for Eldercare Service in China with a Hierarchical Clustering Method. | Ning An, Yue Yin, Huisheng Shi, Peng Han, Shi Cheng, Lian Li |
| 2017 | IJCNN | Graph-boosted convolutional neural networks for semantic segmentation. | Guangzhen Liu, Peng Han, Yulei Niu, Wenwu Yuan, Zhiwu Lu, Ji-Rong Wen |
| 2016 | ICNC | Modeling and optimization oriented to the micro-grid-EV joint system. | Yan Li, Peng Han, Jinkuan Wang, Xin Song |
| 2016 | ICONIP | Segmentation with Selectively Propagated Constraints. | Peng Han, Guangzhen Liu, Songfang Huang, Wenwu Yuan, Zhiwu Lu |
| 2015 | ICDM | Incremental Discriminant Learning for Heterogeneous Domain Adaptation. | Peng Han, Xinxiao Wu |
| 2015 | ICNC | Geometric-process-based battery management modeling and optimization in the electric vehicle battery switching station. | Peng Han, Jinkuan Wang, Xin Song, Yan Li |
| 2015 | IJCAI | Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing. | Yulei Niu, Zhiwu Lu, Songfang Huang, Peng Han, Ji-Rong Wen |
| 2012 | ICONIP | Decoupled 2-D DOA Estimation Algorithm Based on Cross-Correlation Matrix for Coherently Distributed Source. | Yinghua Han, Jinkuan Wang, Qiang Zhao, Peng Han |
| 2012 | SDM | Discovering Context-aware Influential Objects. | Yangpai Liu, Huiping Cao, Yifan Hao, Peng Han, Xinda Zeng |
| 2011 | ISNN | Fuzzy-Adaptive Fault-Tolerant Control of High Speed Train Considering Traction/Braking Faults and Nonlinear Resistive Forces. | M. R. Wang, Yong-Duan Song, Qi Song, Peng Han |
| 2010 | EuroPar | A Delay-Based Dynamic Load Balancing Method and Its Stability Analysis and Simulation. | Qingyang Meng, Jianzhong Qiao, Shukuan Lin, Enze Wang, Peng Han |
| 2010 | ISNN | Frequency Spectrum Modification: A New Model for Visual Saliency Detection. | Dongyue Chen, Peng Han, Chengdong Wu |
| 2007 | AINA | An Adaptive Real-Time Routing Scheme for Wireless Sensor Networks. | Peng Han, Xi Zhou, Ying Li, Xun Chen, Chuanshan Gao |
| 2006 | AINA | ELRS: An Energy-Efficient Layered Routing Scheme for Wireless Sensor and Actor Networks. | Peng Han, Huafeng Wu, Dilin Mao, Chuanshan Gao |
| 2006 | APWEB | Flexible Deployment Models for Location-Aware Key Management in Wireless Sensor Networks. | Bo Yu, Xiaomei Cao, Peng Han, Dilin Mao, Chuanshan Gao |
| 2005 | DEXA | An Adaptive Spreading Activation Scheme for Performing More Effective Collaborative Recommendation. | Peng Han, Bo Xie, Fan Yang, Ruimin Shen |
| 2005 | ICIS | Optimal Rebating Strategies in Peer-to-Peer Content Distribution. | Peng Han, Kartik Hosanagar, Yong-Wah Tan |
| 2005 | ISPA | LSBE: A Localization Scheme Based on Events for Wireless Sensor and Actor Networks. | Peng Han, Haiguang Chen, Bo Yu, Dan Xu, Chuanshan Gao |
| 2004 | DEXA | An Efficient Neighbor Searching Scheme of Distributed Collaborative Filtering on P2P Overlay Network. | Bo Xie, Peng Han, Fan Yang, Ruimin Shen |
| 2004 | ICIS | Diffusion of Digital Products in Peer-to-Peer Networks. | Peng Han, Kartik Hosanagar, Yong Tan |
| 2004 | PAKDD | A Novel Distributed Collaborative Filtering Algorithm and Its Implementation on P2P Overlay Network. | Peng Han, Bo Xie, Fan Yang, Ruimin Shen |
| 2004 | WWW | PipeCF: a scalable DHT-based collaborative filtering recommendation system. | Bo Xie, Peng Han, Ruimin Shen |