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Pengyang Wang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

55

Venues

13

Active years

2018–2026

Best venue rank

A*

Where they publish

Papers

55 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIComprehensive Urban Region Representation Learning via Multi-View Joint Learning and Contrastive Learning.Yingde Lin, Yuanbo Xu, Lu Jiang, Pengyang Wang
2026ACLAccelerating LLM Fine-Tuning via Embedding Knowledge Transfer.Meishu Peng, Ziyue Zhang, Yi Zhang, Pengyang Wang, Zixuan Yuan, Denghui Zhang
2026DASFAAZero-Shot Human Mobility Forecasting via Large Language Model with Hierarchical Reasoning.Wenyao Li, Ran Zhang, Pengyang Wang, Yuanchun Zhou, Pengfei Wang
2026PAKDDDifferentiable Zero-One Loss via Hypersimplex Projections.Camilo Gomez, Pengyang Wang, Liansheng Tang
2026WWWShift-Resilient Diffusive Imputation for Variable Subset Forecasting.Haihua Xu, Qi Hao, He Zhang, Jianpeng Zhao, Ziyue Qiao, Lu Jiang, Pengfei Wang, Yingjie Zhou, Pengyang Wang
2026WSDMRPE4Rec: Enhancing Dynamic Node Retrieval with Efficient Relative Position Encoding for Recommendation Systems.Ke Cheng, Heng Chang, Pengyang Wang, Liang Gu, Jiandong Ding, Yi Cao, Junchen Ye, Bowen Du
2025AAAIMixture of Experts as Representation Learner for Deep Multi-View Clustering.Yunhe Zhang, Jinyu Cai, Zhihao Wu, Pengyang Wang, See-Kiong Ng
2025AAAIBeyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language Models.Guang Huang, Yanan Xiao, Lu Jiang, Minghao Yin, Pengyang Wang
2025AAAIAuto Encoding Neural Process for Multi-interest Recommendation.Yiheng Jiang, Yuanbo Xu, Yongjian Yang, Funing Yang, Pengyang Wang, Chaozhuo Li
2025AAAIMotif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction.Ran Zhang, Xuezhi Wang, Guannan Liu, Pengyang Wang, Yuanchun Zhou, Pengfei Wang
2025ACLDisentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning.Hao Dong, Ziyue Qiao, Zhiyuan Ning, Qi Hao, Yi Du, Pengyang Wang, Yuanchun Zhou
2025ICMLGCAL: Adapting Graph Models to Evolving Domain Shifts.Ziyue Qiao, Qianyi Cai, Hao Dong, Jiawei Gu, Pengyang Wang, Meng Xiao, Xiao Luo, Hui Xiong
2025IJCAIRethinking Graph Contrastive Learning Through Relative Similarity Preservation.Zhiyuan Ning, Pengfei Wang, Ziyue Qiao, Pengyang Wang, Yuanchun Zhou
2025IJCAIscSiameseClu: 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
2025KDDGenerative Imputation with Multi-level Causal Consistency for Variable Subset Forecasting.Qi Hao, Yue Gao, Runchang Liang, Yunhe Zhang, Pengyang Wang
2025KDDOn the Scalability of Temporal Relative Positional Encoding for Dynamic Link Prediction.Ke Cheng, Linzhi Peng, Pengyang Wang, Heng Chang, Junchen Ye, Bowen Du
2025KDDIN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting.Wei Fan, Shun Zheng, Pengyang Wang, Rui Xie, Kun Yi, Qi Zhang, Jiang Bian, Yanjie Fu
2025KDDImputation via Domain Adaptation: Rethinking Variable Subset Forecasting from Knowledge Transfer.Runchang Liang, Qi Hao, Yue Gao, Kunpeng Liu, Lu Jiang, Pengyang Wang, Minghao Yin
2025KDDBackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation.Haiyang Yu, Tian Xie, Jiaping Gui, Pengyang Wang, Pengzhou Cheng, Ping Yi, Yue Wu
2024AAAISpatial-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
2024CIKMPIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment.Zeyu Dong, Qingqing Long, Yihang Zhou, Pengfei Wang, Zhihong Zhu, Xiao Luo, Yidong Wang, Pengyang Wang, Yuanchun Zhou
2024IJCAIHierarchical 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
2024IJCAIReconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows.Xuanming Hu, Wei Fan, Haifeng Chen, Pengyang Wang, Yanjie Fu
2024IJCAIFedGCS: 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
2024IJCAIHierarchical Reinforcement Learning for Point of Interest Recommendation.Yanan Xiao, Lu Jiang, Kunpeng Liu, Yuanbo Xu, Pengyang Wang, Minghao Yin
2024IJCAIDecoupled Invariant Attention Network for Multivariate Time-series Forecasting.Haihua Xu, Wei Fan, Kun Yi, Pengyang Wang
2024IJCAIMake 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
2024KDDDyGKT: Dynamic Graph Learning for Knowledge Tracing.Ke Cheng, Linzhi Peng, Pengyang Wang, Junchen Ye, Leilei Sun, Bowen Du
2024SDMDual-stage Flows-based Generative Modeling for Traceable Urban Planning.Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu
2023AAAIMulti-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning.Lu Jiang, Yibin Wang, Jianan Wang, Pengyang Wang, Minghao Yin
2023AAAIDish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting.Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu
2023CIKMDeep Generative Imputation Model for Missing Not At Random Data.Jialei Chen, Yuanbo Xu, Pengyang Wang, Yongjian Yang
2023ICDEToward Efficient Automated Feature Engineering.Kafeng Wang, Pengyang Wang, Chengzhong Xu
2023ICDMMetric-agnostic Learning-to-Rank via Boosting and Rank Approximation.Camilo Gomez, Pengyang Wang, Yanjie Fu
2023ICDMBoosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift.Xuanming Hu, Wei Fan, Kun Yi, Pengfei Wang, Yuanbo Xu, Yanjie Fu, Pengyang Wang
2023IJCAIAdaptive Path-Memory Network for Temporal Knowledge Graph Reasoning.Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu
2022KDDSemi-supervised Drifted Stream Learning with Short Lookback.Weijieying Ren, Pengyang Wang, Xiaolin Li, Charles E. Hughes, Yanjie Fu
2021AAAIReinforced 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
2021ICDMExpert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification.Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang, Yuanchun Zhou
2021SDMEduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling.Lu Jiang, Pengyang Wang, Ke Cheng, Kunpeng Liu, Minghao Yin, Bo Jin, Yanjie Fu
2020CIKMCollective Embedding with Feature Importance: A Unified Approach for Spatiotemporal Network Embedding.Dakshak Keerthi Chandra, Pengyang Wang, Jennifer L. Leopold, Yanjie Fu
2020ICDMAutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning.Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu
2020ICDMTree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning.Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou
2020ICDMDefending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection.Dongjie Wang, Pengyang Wang, Jingbo Zhou, Leilei Sun, Bowen Du, Yanjie Fu
2020IJCAIExploiting Mutual Information for Substructure-aware Graph Representation Learning.Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien A. Hua
2020KDDIncremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams.Pengyang Wang, Kunpeng Liu, Lu Jiang, Xiaolin Li, Yanjie Fu
2020WWWA Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement.Pengyang Wang, Jiaping Gui, Zhengzhang Chen, Junghwan Rhee, Haifeng Chen, Yanjie Fu
2019AAAIEfficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations.Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li
2019CIKMJob2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning.Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong
2019ICDMBeyond Geo-First Law: Learning Spatial Representations via Integrated Autocorrelations and Complementarity.Jiadi Du, Yunchao Zhang, Pengyang Wang, Jennifer L. Leopold, Yanjie Fu
2019KDDAdversarial Substructured Representation Learning for Mobile User Profiling.Pengyang Wang, Yanjie Fu, Hui Xiong, Xiaolin Li
2019KDDUnifying Inter-region Autocorrelation and Intra-region Structures for Spatial Embedding via Collective Adversarial Learning.Yunchao Zhang, Yanjie Fu, Pengyang Wang, Xiaolin Li, Yu Zheng
2018KDDYou Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis.Pengyang Wang, Yanjie Fu, Jiawei Zhang, Pengfei Wang, Yu Zheng, Charu C. Aggarwal
2018SDMModeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction.Kunpeng Liu, Pengyang Wang, Jiawei Zhang, Yanjie Fu, Sajal K. Das
2018SDMEnsemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial Graphs.Pengyang Wang, Jiawei Zhang, Guannan Liu, Yanjie Fu, Charu C. Aggarwal