Peng Han

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 35

Top Topics

Similarity Computation

Learning Frameworks

Spatial Networks

Graph Structures

Top Venues

World Wide Web (WWW)

Publications

Peng Han, Xiangliang Zhang
VGE: Gene-Disease Association by Variational Graph Embedding. Int. J. Crowd Sci. 8 (2) (2024)
Siqi Fan, Xin Jiang, Xiang Li, Xuying Meng, Peng Han, Shuo Shang, Aixin Sun, Yequan Wang, Zhongyuan Wang
Not all Layers of LLMs are Necessary during Inference. CoRR (2024)
Chang Gong, Di Yao, Jin Wang, Wenbin Li, Lanting Fang, Yongtao Xie, Kaiyu Feng, Peng Han, Jingping Bi
PORCA: Root Cause Analysis with Partially Observed Data. CoRR (2024)
Minbo Ma, Jilin Hu, Christian S. Jensen, Fei Teng, Peng Han, Zhiqiang Xu, Tianrui Li
Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting. ICDE (2024)
Jiangfeng Du, Silin Zhou, Jie Yu, Peng Han, Shuo Shang
Cross-Task Multimodal Reinforcement for Long Tail Next POI Recommendation. IEEE Trans. Multim. 26 (2024)
Zhen Chen, Dalin Zhang, Shanshan Feng, Kaixuan Chen, Lisi Chen, Peng Han, Shuo Shang
KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding. AAAI (2024)
Shen Gao, Yifan Wang, Jiabao Fang, Lisi Chen, Peng Han, Shuo Shang
DRE: Generating Recommendation Explanations by Aligning Large Language Models at Data-level. CoRR (2024)
Peng Tang, Zhiqiang Xu, Chunlai Zhou, Pengfei Wei, Peng Han, Xin Cao, Tobias Lasser
Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring. AAAI (2024)
Chengrui Huang, Zhengliang Shi, Yuntao Wen, Xiuying Chen, Peng Han, Shen Gao, Shuo Shang
What Affects the Stability of Tool Learning? An Empirical Study on the Robustness of Tool Learning Frameworks. CoRR (2024)
Jing Li, Peng Han, Xiangnan Ren, Jilin Hu, Lisi Chen, Shuo Shang
Sequence Labeling With Meta-Learning. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Xiaobing Pang, Yequan Wang, Siqi Fan, Lisi Chen, Shuo Shang, Peng Han
EmpMFF: A Multi-factor Sequence Fusion Framework for Empathetic Response Generation. WWW (2023)
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
FLM-101B: An Open LLM and How to Train It with $100K Budget. CoRR (2023)
Siqi Fan, Yequan Wang, Xiaobing Pang, Lisi Chen, Peng Han, Shuo Shang
UaMC: user-augmented conversation recommendation via multi-modal graph learning and context mining. World Wide Web (WWW) 26 (6) (2023)
Minbo Ma, Jilin Hu, Christian S. Jensen, Fei Teng, Peng Han, Zhiqiang Xu, Tianrui Li
Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting. CoRR (2023)
Silin Zhou, Peng Han, Di Yao, Lisi Chen, Xiangliang Zhang
Spatial-temporal fusion graph framework for trajectory similarity computation. World Wide Web (WWW) 26 (4) (2023)
Peng Han, Silin Zhou, Jie Yu, Zichen Xu, Lisi Chen, Shuo Shang
Personalized Re-ranking for Recommendation with Mask Pretraining. Data Sci. Eng. 8 (4) (2023)
Silin Zhou, Dan He, Lisi Chen, Shuo Shang, Peng Han
Heterogeneous Region Embedding with Prompt Learning. AAAI (2023)
Feiyu Yin, Yong Liu, Zhiqi Shen, Lisi Chen, Shuo Shang, Peng Han
Next POI Recommendation with Dynamic Graph and Explicit Dependency. AAAI (2023)
Silin Zhou, Jing Li, Hao Wang, Shuo Shang, Peng Han
GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM. AAAI (2023)
Xuan Rao, Hao Wang, Liang Zhang, Jing Li, Shuo Shang, Peng Han
FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting. IJCAI (2022)
Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Xiangliang Zhang
Point-of-Interest Recommendation With Global and Local Context. IEEE Trans. Knowl. Data Eng. 34 (11) (2022)
Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang
GNN-Retro: Retrosynthetic Planning with Graph Neural Networks. AAAI (2022)
Peng Han, Jin Wang, Di Yao, Shuo Shang, Xiangliang Zhang
A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks. KDD (2021)
Yuxi Hong, Peng Han
LSDDL: Layer-Wise Sparsification for Distributed Deep Learning. Big Data Res. 26 (2021)
Peng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang, Shuo Shang
Contextualized Point-of-Interest Recommendation. IJCAI (2020)
Hao Wang, Yuan-Yuan Yang, Yang Pan, Peng Han, Zhong-Xiao Li, He-Guang Huang, Shun-Zhi Zhu
Detecting thoracic diseases via representation learning with adaptive sampling. Neurocomputing 406 (2020)
Yinan Zhang, Yong Liu, Peng Han, Chunyan Miao, Lizhen Cui, Baoli Li, Haihong Tang
Learning Personalized Itemset Mapping for Cross-Domain Recommendation. IJCAI (2020)
Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu, Jiayu Zhou, Xin Gao, Panos Kalnis
GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization. KDD (2019)
Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Panos Kalnis
AUC-MF: Point of Interest Recommendation with AUC Maximization. ICDE (2019)
Aoxue Li, Zhiwu Lu, Liwei Wang, Peng Han, Ji-Rong Wen
Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation. IEEE Trans. Cybern. 48 (1) (2018)
Guangzhen Liu, Peng Han, Yulei Niu, Wenwu Yuan, Zhiwu Lu, Ji-Rong Wen
Graph-boosted convolutional neural networks for semantic segmentation. IJCNN (2017)
Zhiwu Lu, Zhenyong Fu, Tao Xiang, Peng Han, Liwei Wang, Xin Gao
Learning from Weak and Noisy Labels for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39 (3) (2017)
Peng Han, Guangzhen Liu, Songfang Huang, Wenwu Yuan, Zhiwu Lu
Segmentation with Selectively Propagated Constraints. ICONIP (2) (2016)
Yulei Niu, Zhiwu Lu, Songfang Huang, Peng Han, Ji-Rong Wen
Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing. IJCAI (2015)
Zhiwu Lu, Peng Han, Liwei Wang, Ji-Rong Wen
Semantic Sparse Recoding of Visual Content for Image Applications. IEEE Trans. Image Process. 24 (1) (2015)