Wang, Pengyang

22 publications

AAAI 2025 Auto Encoding Neural Process for Multi-Interest Recommendation Yiheng Jiang, Yuanbo Xu, Yongjian Yang, Funing Yang, Pengyang Wang, Chaozhuo Li

AAAI 2025 Beyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language Models Guang Huang, Yanan Xiao, Lu Jiang, Minghao Yin, Pengyang Wang

ICML 2025 GCAL: Adapting Graph Models to Evolving Domain Shifts Ziyue Qiao, Qianyi Cai, Hao Dong, Jiawei Gu, Pengyang Wang, Meng Xiao, Xiao Luo, Hui Xiong

AAAI 2025 Mixture of Experts as Representation Learner for Deep Multi-View Clustering Yunhe Zhang, Jinyu Cai, Zhihao Wu, Pengyang Wang, See-Kiong Ng

AAAI 2025 Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction Ran Zhang, Xuezhi Wang, Guannan Liu, Pengyang Wang, Yuanchun Zhou, Pengfei Wang

IJCAI 2025 Rethinking Graph Contrastive Learning Through Relative Similarity Preservation Zhiyuan Ning, Pengfei Wang, Ziyue Qiao, Pengyang Wang, Yuanchun Zhou

IJCAI 2025 scSiameseClu: A Siamese Clustering Framework for Interpreting Single-Cell RNA Sequencing Data Ping Xu, Zhiyuan Ning, Pengjiang Li, Wenhao Liu, Pengyang Wang, Jiaxu Cui, Yuanchun Zhou, Pengfei Wang

IJCAI 2024 Decoupled Invariant Attention Network for Multivariate Time-Series Forecasting Haihua Xu, Wei Fan, Kun Yi, Pengyang Wang

IJCAI 2024 FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-Based Optimization Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou

IJCAI 2024 Hierarchical Reinforcement Learning for Point of Interest Recommendation Yanan Xiao, Lu Jiang, Kunpeng Liu, Yuanbo Xu, Pengyang Wang, Minghao Yin

IJCAI 2024 Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation Lu Jiang, Yanan Xiao, Xinxin Zhao, Yuanbo Xu, Shuli Hu, Pengyang Wang, Minghao Yin

IJCAI 2024 Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang

IJCAI 2024 Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows Xuanming Hu, Wei Fan, Haifeng Chen, Pengyang Wang, Yanjie Fu

AAAI 2024 Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation Zhaofan Zhang, Yanan Xiao, Lu Jiang, Dingqi Yang, Minghao Yin, Pengyang Wang

IJCAI 2023 Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu

AAAI 2023 Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu

NeurIPS 2023 FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu

NeurIPS 2023 Frequency-Domain MLPs Are More Effective Learners in Time Series Forecasting Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu

AAAI 2023 Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning Lu Jiang, Yibin Wang, Jianan Wang, Pengyang Wang, Minghao Yin

AAAI 2021 Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E. Hughes, Yanjie Fu

IJCAI 2020 Exploiting Mutual Information for Substructure-Aware Graph Representation Learning Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien A. Hua

AAAI 2019 Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li