Peng Han

63 papers A* 24B 2C 1Journal 32Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
R^3: Replay, Reflection, and Ranking Rewards for LLM Reinforcement Learning.
CoRR
Zhizheng Jiang, Kang Zhao, Weikai Xu, Xinkui Lin, Wei Liu, Jian Luan, Shuo Shang, Peng Han
2025 J jnl
CoThink: Token-Efficient Reasoning via Instruct Models Guiding Reasoning Models.
CoRR
Siqi Fan, Peng Han, Shuo Shang, Yequan Wang, Aixin Sun
2025 — conf
DRE: Generating Recommendation Explanations by Aligning Large Language Models at Data-Level.
DASFAA (5)
Yifan Wang, Shen Gao, Jiabao Fang, Lisi Chen, Peng Han, Shuo Shang
2025 A* conf
Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation.
IJCAI
Xuan Rao, Shuo Shang, Lisi Chen, Renhe Jiang, Peng Han
2025 — conf
Grid and Road Expressions Are Complementary for Trajectory Representation Learning.
KDD (1)
Silin Zhou, Shuo Shang, Lisi Chen, Peng Han, Christian S. Jensen
2025 J jnl
If an LLM Were a Character, Would It Know Its Own Story? Evaluating Lifelong Learning in LLMs.
CoRR
Siqi Fan, Xiusheng Huang, Yiqun Yao, Xuezhi Fang, Kang Liu, Peng Han, Shuo Shang, Aixin Sun, Yequan Wang
2025 J jnl
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning.
IEEE Trans. Knowl. Data Eng.
Xuan Rao, Renhe Jiang, Shuo Shang, Lisi Chen, Peng Han, Bin Yao, Panos Kalnis
2025 A* conf
Not All Layers of LLMs Are Necessary During Inference.
IJCAI
Siqi Fan, Xin Jiang, Xiang Li, Xuying Meng, Peng Han, Shuo Shang, Aixin Sun, Yequan Wang
2025 J jnl
Position-Aware Depth Decay Decoding (D
CoRR
Siqi Fan, Xuezhi Fang, Xingrun Xing, Peng Han, Shuo Shang, Yequan Wang
2025 — conf
Position-Aware Depth Decay Decoding (D³): Boosting Large Language Model Inference Efficiency.
ACL (Findings)
Siqi Fan, Xuezhi Fang, Xingrun Xing, Peng Han, Shuo Shang, Yequan Wang
2025 A* conf
ST-TAR: An Efficient Spatio-Temporal Learning Framework for Traffic Accident Risk Forecasting.
IJCAI
Hongyu Wang, Lisi Chen, Shuo Shang, Peng Han, Christian S. Jensen
2025 A* conf
Seed: Bridging Sequence and Diffusion Models for Road Trajectory Generation.
WWW
Xuan Rao, Shuo Shang, Renhe Jiang, Peng Han, Lisi Chen
2025 J jnl
Traffic forecasting with patch-based graph convolutional recurrent network.
GeoInformatica
Xuan Rao, Shuo Shang, Renhe Jiang, Lisi Chen, Peng Han
2024 J jnl
Cross-Task Multimodal Reinforcement for Long Tail Next POI Recommendation.
IEEE Trans. Multim.
Jiangfeng Du, Silin Zhou, Jie Yu, Peng Han, Shuo Shang
2024 J jnl
DRE: Generating Recommendation Explanations by Aligning Large Language Models at Data-level.
CoRR
Shen Gao, Yifan Wang, Jiabao Fang, Lisi Chen, Peng Han, Shuo Shang
2024 A* conf
Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering.
ICDE
Di Yao, Jin Wang, Wenjie Chen, Fangda Guo, Peng Han, Jingping Bi
2024 J jnl
Grid and Road Expressions Are Complementary for Trajectory Representation Learning.
CoRR
Silin Zhou, Shuo Shang, Lisi Chen, Peng Han, Christian S. Jensen
2024 A* conf
KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding.
AAAI
Zhen Chen, Dalin Zhang, Shanshan Feng, Kaixuan Chen, Lisi Chen, Peng Han, Shuo Shang
2024 A* conf
Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting.
ICDE
Minbo Ma, Jilin Hu, Christian S. Jensen, Fei Teng, Peng Han, Zhiqiang Xu, Tianrui Li
2024 J jnl
Multi-view heterogeneous graph learning with compressed hypergraph neural networks.
Neural Networks
Aiping Huang, Zihan Fang, Zhihao Wu, Yanchao Tan, Peng Han, Shiping Wang, Le Zhang
2024 J jnl
Not all Layers of LLMs are Necessary during Inference.
CoRR
Siqi Fan, Xin Jiang, Xiang Li, Xuying Meng, Peng Han, Shuo Shang, Aixin Sun, Yequan Wang, Zhongyuan Wang
2024 J jnl
Open-domain Implicit Format Control for Large Language Model Generation.
CoRR
Yiqun Yao, Wenjia Ma, Xuezhi Fang, Xin Jiang, Xiang Li, Xuying Meng, Peng Han, Jing Li, Aixin Sun, Yequan Wang
2024 J jnl
PORCA: Root Cause Analysis with Partially Observed Data.
CoRR
Chang Gong, Di Yao, Jin Wang, Wenbin Li, Lanting Fang, Yongtao Xie, Kaiyu Feng, Peng Han, Jingping Bi
2024 A* conf
Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring.
AAAI
Peng Tang, Zhiqiang Xu, Chunlai Zhou, Pengfei Wei, Peng Han, Xin Cao, Tobias Lasser
2024 J jnl
Sketch: A Toolkit for Streamlining LLM Operations.
CoRR
Xin Jiang, Xiang Li, Wenjia Ma, Xuezhi Fang, Yiqun Yao, Naitong Yu, Xuying Meng, Peng Han, Jing Li, Aixin Sun, Yequan Wang
2024 J jnl
TEAM: Topological Evolution-aware Framework for Traffic Forecasting-Extended Version.
CoRR
Duc Kieu, Tung Kieu, Peng Han, Bin Yang, Christian S. Jensen, Bac Le
2024 J jnl
TEAM: Topological Evolution-aware Framework for Traffic Forecasting.
Proc. VLDB Endow.
Duc Kieu, Tung Kieu, Peng Han, Bin Yang, Christian S. Jensen, Bac Le
2024 J jnl
VGE: Gene-Disease Association by Variational Graph Embedding.
Int. J. Crowd Sci.
Peng Han, Xiangliang Zhang
2024 J jnl
What Affects the Stability of Tool Learning? An Empirical Study on the Robustness of Tool Learning Frameworks.
CoRR
Chengrui Huang, Zhengliang Shi, Yuntao Wen, Xiuying Chen, Peng Han, Shen Gao, Shuo Shang
2023 A* conf
EmpMFF: A Multi-factor Sequence Fusion Framework for Empathetic Response Generation.
WWW
Xiaobing Pang, Yequan Wang, Siqi Fan, Lisi Chen, Shuo Shang, Peng Han
2023 J jnl
FLM-101B: An Open LLM and How to Train It with $100K Budget.
CoRR
Xiang Li, Yiqun Yao, Xin Jiang, Xuezhi Fang, Xuying Meng, Siqi Fan, Peng Han, Jing Li, Li Du, Bowen Qin, Zheng Zhang, Aixin Sun, Yequan Wang
2023 A* conf
GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM.
AAAI
Silin Zhou, Jing Li, Hao Wang, Shuo Shang, Peng Han
2023 A* conf
Heterogeneous Region Embedding with Prompt Learning.
AAAI
Silin Zhou, Dan He, Lisi Chen, Shuo Shang, Peng Han
2023 J jnl
Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting.
CoRR
Minbo Ma, Jilin Hu, Christian S. Jensen, Fei Teng, Peng Han, Zhiqiang Xu, Tianrui Li
2023 J jnl
Multiple Time Series Forecasting with Dynamic Graph Modeling.
Proc. VLDB Endow.
Kai Zhao, Chenjuan Guo, Yunyao Cheng, Peng Han, Miao Zhang, Bin Yang
2023 A* conf
Next POI Recommendation with Dynamic Graph and Explicit Dependency.
AAAI
Feiyu Yin, Yong Liu, Zhiqi Shen, Lisi Chen, Shuo Shang, Peng Han
2023 J jnl
Personalized Re-ranking for Recommendation with Mask Pretraining.
Data Sci. Eng.
Peng Han, Silin Zhou, Jie Yu, Zichen Xu, Lisi Chen, Shuo Shang
2023 J jnl
Sequence Labeling With Meta-Learning.
IEEE Trans. Knowl. Data Eng.
Jing Li, Peng Han, Xiangnan Ren, Jilin Hu, Lisi Chen, Shuo Shang
2023 J jnl
Spatial-temporal fusion graph framework for trajectory similarity computation.
World Wide Web (WWW)
Silin Zhou, Peng Han, Di Yao, Lisi Chen, Xiangliang Zhang
2023 J jnl
UaMC: user-augmented conversation recommendation via multi-modal graph learning and context mining.
World Wide Web (WWW)
Siqi Fan, Yequan Wang, Xiaobing Pang, Lisi Chen, Peng Han, Shuo Shang
2022 A* conf
FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting.
IJCAI
Xuan Rao, Hao Wang, Liang Zhang, Jing Li, Shuo Shang, Peng Han
2022 A* conf
GNN-Retro: Retrosynthetic Planning with Graph Neural Networks.
AAAI
Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang
2022 A* conf
Graph-Flashback Network for Next Location Recommendation.
KDD
Xuan Rao, Lisi Chen, Yong Liu, Shuo Shang, Bin Yao, Peng Han
2022 A* conf
Interactive Information Extraction by Semantic Information Graph.
IJCAI
Siqi Fan, Yequan Wang, Jing Li, Zheng Zhang, Shuo Shang, Peng Han
2022 A* conf
MSDR: Multi-Step Dependency Relation Networks for Spatial Temporal Forecasting.
KDD
Dachuan Liu, Jin Wang, Shuo Shang, Peng Han
2022 J jnl
Point-of-Interest Recommendation With Global and Local Context.
IEEE Trans. Knowl. Data Eng.
Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Xiangliang Zhang
2022 B conf
QuoGNN: Quotient Graph Neural Network for Urban Flow Forecasting.
IEEE Big Data
Xiaochuan Gou, Peng Han, Xiangliang Zhang
2022 A* conf
RetroGraph: Retrosynthetic Planning with Graph Search.
KDD
Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin
2022 J jnl
RetroGraph: Retrosynthetic Planning with Graph Search.
CoRR
Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin
2022 C conf
Scene Re-ranking for Recommendation.
MMSP
Peng Han, Shuo Shang
2021 A* conf
A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks.
KDD
Peng Han, Jin Wang, Di Yao, Shuo Shang, Xiangliang Zhang
2021 J jnl
LSDDL: Layer-Wise Sparsification for Distributed Deep Learning.
Big Data Res.
Yuxi Hong, Peng Han
2020 A* conf
Contextualized Point-of-Interest Recommendation.
IJCAI
Peng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang, Shuo Shang
2020 J jnl
Detecting thoracic diseases via representation learning with adaptive sampling.
Neurocomputing
Hao Wang, Yuan-yuan Yang, Yang Pan, Peng Han, Zhong-Xiao Li, He-Guang Huang, Shun-Zhi Zhu
2020 A* conf
Learning Personalized Itemset Mapping for Cross-Domain Recommendation.
IJCAI
Yinan Zhang, Yong Liu, Peng Han, Chunyan Miao, Lizhen Cui, Baoli Li, Haihong Tang
2019 A* conf
AUC-MF: Point of Interest Recommendation with AUC Maximization.
ICDE
Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Panos Kalnis
2019 A* conf
GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization.
KDD
Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu, Jiayu Zhou, Xin Gao, Panos Kalnis
2018 J jnl
Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation.
IEEE Trans. Cybern.
Aoxue Li, Zhiwu Lu, Liwei Wang, Peng Han, Ji-Rong Wen
2017 B conf
Graph-boosted convolutional neural networks for semantic segmentation.
IJCNN
Guangzhen Liu, Peng Han, Yulei Niu, Wenwu Yuan, Zhiwu Lu, Ji-Rong Wen
2017 J jnl
Learning from Weak and Noisy Labels for Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhiwu Lu, Zhenyong Fu, Tao Xiang, Peng Han, Liwei Wang, Xin Gao
2016 — conf
Segmentation with Selectively Propagated Constraints.
ICONIP (2)
Peng Han, Guangzhen Liu, Songfang Huang, Wenwu Yuan, Zhiwu Lu
2015 J jnl
Semantic Sparse Recoding of Visual Content for Image Applications.
IEEE Trans. Image Process.
Zhiwu Lu, Peng Han, Liwei Wang, Ji-Rong Wen
2015 A* conf
Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing.
IJCAI
Yulei Niu, Zhiwu Lu, Songfang Huang, Peng Han, Ji-Rong Wen