Pengyang Wang - RankMe

131 papers A* 39A 9Journal 73Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Comprehensive Survey on Data Augmentation. IEEE Trans. Knowl. Data Eng. Zaitian Wang, Pengfei Wang, Kunpeng Liu, Pengyang Wang, Yanjie Fu, Chang-Tien Lu, Charu C. Aggarwal, Jian Pei, Yuanchun Zhou
2026	J	`jnl`	A contrastive video language multimodal method for teacher action quality assessment. Expert Syst. Appl. Ming Fang, Yunpeng Zhou, Qi Liu, Pengyang Wang, Jianping Ren, Xile Zhao, Shuhua Liu
2026	A*	`conf`	Comprehensive Urban Region Representation Learning via Multi-View Joint Learning and Contrastive Learning. AAAI Yingde Lin, Yuanbo Xu, Lu Jiang, Pengyang Wang
2026	J	`jnl`	Deep cut-informed graph embedding and clustering. Inf. Fusion Zhiyuan Ning, Zaitian Wang, Ran Zhang, Ping Xu, Kunpeng Liu, Pengyang Wang, Wei Ju, Pengfei Wang, Yuanchun Zhou, Erik Cambria, Chong Chen
2026	J	`jnl`	Differentiable Zero-One Loss via Hypersimplex Projections. CoRR Camilo Gomez, Pengyang Wang, Liansheng Tang
2026	J	`jnl`	Dummy-Aware Weighted Attack (DAWA): Breaking the Safe Sink in Dummy Class Defenses. CoRR Yunrui Yu, Xuxiang Feng, Pengda Qin, Pengyang Wang, Kafeng Wang, Cheng-Zhong Xu, Hang Su, Jun Zhu
2026	J	`jnl`	Knowledge graph enhanced recommendation via context-aware dynamic relation perception and dual-view hierarchical contrastive learning. Expert Syst. Appl. Quanchang Ye, Hongzhen Xu, Chao Wang, Bao Zhang, Pengyang Wang, Chen Liu, Kafeng Wang
2026	J	`jnl`	MoEGAD: A Mixture-of-Experts Framework With Pseudo-Anomaly Generation for Graph-Level Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. Jinyu Cai, Yunhe Zhang, Pengyang Wang, See-Kiong Ng
2026	A	`conf`	RPE4Rec: Enhancing Dynamic Node Retrieval with Efficient Relative Position Encoding for Recommendation Systems. WSDM Ke Cheng, Heng Chang, Pengyang Wang, Liang Gu, Jiandong Ding, Yi Cao, Junchen Ye, Bowen Du
2026	A*	`conf`	Shift-Resilient Diffusive Imputation for Variable Subset Forecasting. WWW Haihua Xu, Qi Hao, He Zhang, Jianpeng Zhao, Ziyue Qiao, Lu Jiang, Pengfei Wang, Yingjie Zhou, Pengyang Wang
2025	A*	`conf`	Auto Encoding Neural Process for Multi-interest Recommendation. AAAI Yiheng Jiang, Yuanbo Xu, Yongjian Yang, Funing Yang, Pengyang Wang, Chaozhuo Li
2025	—	`conf`	BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation. KDD (1) Haiyang Yu, Tian Xie, Jiaping Gui, Pengyang Wang, Pengzhou Cheng, Ping Yi, Yue Wu
2025	A*	`conf`	Beyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language Models. AAAI Guang Huang, Yanan Xiao, Lu Jiang, Minghao Yin, Pengyang Wang
2025	J	`jnl`	Cross-sensor cropland mapping: evaluating Chinese satellites and Sentinel-2 in the Nile Delta. Int. J. Digit. Earth Zihang Lou, Xuxiang Feng, Yulong Lv, Yizhou Zhang, Hao Peng, Mingxian Zhao, Ke Liu, Hongyan Wang, Yaqiong Zhang, Pengyang Wang, Tongyao Niu, Le Yu, Dailiang Peng
2025	J	`jnl`	Deep Cut-informed Graph Embedding and Clustering. CoRR Zhiyuan Ning, Zaitian Wang, Ran Zhang, Ping Xu, Kunpeng Liu, Pengyang Wang, Wei Ju, Pengfei Wang, Yuanchun Zhou, Erik Cambria, Chong Chen
2025	—	`conf`	Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning. ACL (Findings) Hao Dong, Ziyue Qiao, Zhiyuan Ning, Qi Hao, Yi Du, Pengyang Wang, Yuanchun Zhou
2025	J	`jnl`	Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning. CoRR Hao Dong, Ziyue Qiao, Zhiyuan Ning, Qi Hao, Yi Du, Pengyang Wang, Yuanchun Zhou
2025	J	`jnl`	EnTAIL: Evolutional temporal-aware interaction learning for motion forecasting. Eng. Appl. Artif. Intell. Chunyu Liu, Hao Dong, Pengyang Wang, Jianjun Yu
2025	A*	`conf`	GCAL: Adapting Graph Models to Evolving Domain Shifts. ICML Ziyue Qiao, Qianyi Cai, Hao Dong, Jiawei Gu, Pengyang Wang, Meng Xiao, Xiao Luo, Hui Xiong
2025	J	`jnl`	GCAL: Adapting Graph Models to Evolving Domain Shifts. CoRR Ziyue Qiao, Qianyi Cai, Hao Dong, Jiawei Gu, Pengyang Wang, Meng Xiao, Xiao Luo, Hui Xiong
2025	—	`conf`	Generative Imputation with Multi-level Causal Consistency for Variable Subset Forecasting. KDD (2) Qi Hao, Yue Gao, Runchang Liang, Yunhe Zhang, Pengyang Wang
2025	—	`conf`	IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting. KDD (1) Wei Fan, Shun Zheng, Pengyang Wang, Rui Xie, Kun Yi, Qi Zhang, Jiang Bian, Yanjie Fu
2025	—	`conf`	Imputation via Domain Adaptation: Rethinking Variable Subset Forecasting from Knowledge Transfer. KDD (2) Runchang Liang, Qi Hao, Yue Gao, Kunpeng Liu, Lu Jiang, Pengyang Wang, Minghao Yin
2025	J	`jnl`	Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset. IEEE Trans. Knowl. Data Eng. Qi Hao, Runchang Liang, Yue Gao, Hao Dong, Wei Fan, Lu Jiang, Pengyang Wang
2025	J	`jnl`	Large Language Models as Virtual Survey Respondents: Evaluating Sociodemographic Response Generation. CoRR Jianpeng Zhao, Chenyu Yuan, Weiming Luo, Haoling Xie, Guangwei Zhang, Steven Jige Quan, Zixuan Yuan, Pengyang Wang, Denghui Zhang
2025	A*	`conf`	Mixture of Experts as Representation Learner for Deep Multi-View Clustering. AAAI Yunhe Zhang, Jinyu Cai, Zhihao Wu, Pengyang Wang, See-Kiong Ng
2025	A*	`conf`	Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction. AAAI Ran Zhang, Xuezhi Wang, Guannan Liu, Pengyang Wang, Yuanchun Zhou, Pengfei Wang
2025	J	`jnl`	Mut4All: Fuzzing Compilers via LLM-Synthesized Mutators Learned from Bug Reports. CoRR Bo Wang, Pengyang Wang, Chong Chen, Qi Sun, Jieke Shi, Chengran Yang, Ming Deng, Youfang Lin, Zhou Yang, David Lo
2025	—	`conf`	On the Scalability of Temporal Relative Positional Encoding for Dynamic Link Prediction. KDD (2) Ke Cheng, Linzhi Peng, Pengyang Wang, Heng Chang, Junchen Ye, Bowen Du
2025	J	`jnl`	Out-of-Distribution Graph Models Merging. CoRR Yidi Wang, Jiawei Gu, Xiaobing Pei, Xubin Zheng, Xiao Luo, Pengyang Wang, Ziyue Qiao
2025	J	`jnl`	REPLAY: Modeling Time-Varying Temporal Regularities of Human Mobility for Location Prediction Over Sparse Trajectories. IEEE Trans. Mob. Comput. Bangchao Deng, Bingqing Qu, Pengyang Wang, Dingqi Yang, Benjamin Fankhauser, Philippe Cudré-Mauroux
2025	A*	`conf`	Rethinking Graph Contrastive Learning Through Relative Similarity Preservation. IJCAI Zhiyuan Ning, Pengfei Wang, Ziyue Qiao, Pengyang Wang, Yuanchun Zhou
2025	J	`jnl`	Rethinking Graph Contrastive Learning through Relative Similarity Preservation. CoRR Zhiyuan Ning, Pengfei Wang, Ziyue Qiao, Pengyang Wang, Yuanchun Zhou
2025	J	`jnl`	S CoRR Tao He, Guang Huang, Yu Yang, Tianshi Xu, Sicheng Zhao, Guiguang Ding, Pengyang Wang, Feng Tian
2025	J	`jnl`	STRelay: A Universal Spatio-Temporal Relaying Framework for Location Prediction with Future Spatiotemporal Contexts. CoRR Bangchao Deng, Lianhua Ji, Chunhua Chen, Xin Jing, Ling Ding, Bingqing Qu, Pengyang Wang, Dingqi Yang
2025	J	`jnl`	Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation. CoRR Dongjie Wang, Yanyong Huang, Wangyang Ying, Haoyue Bai, Nanxu Gong, Xinyuan Wang, Sixun Dong, Tao Zhe, Kunpeng Liu, Meng Xiao, Pengfei Wang, Pengyang Wang, Hui Xiong, Yanjie Fu
2025	—	`conf`	UrbanXplain: A Language-Driven Urban Planning System with Explainable Reasoning and Real-Time 3D Rendering. SIGSPATIAL/GIS Yanan Xiao, Rui Song, Yinan Xiao, Lu Jiang, Minghao Yin, Pengyang Wang
2025	J	`jnl`	Zero-Shot Human Mobility Forecasting via Large Language Model with Hierarchical Reasoning. CoRR Wenyao Li, Ran Zhang, Pengyang Wang, Yuanchun Zhou, Pengfei Wang
2025	A*	`conf`	scSiameseClu: A Siamese Clustering Framework for Interpreting Single-cell RNA Sequencing Data. IJCAI Ping Xu, Zhiyuan Ning, Pengjiang Li, Wenhao Liu, Pengyang Wang, Jiaxu Cui, Yuanchun Zhou, Pengfei Wang
2025	J	`jnl`	scSiameseClu: A Siamese Clustering Framework for Interpreting single-cell RNA Sequencing Data. CoRR Ping Xu, Zhiyuan Ning, Pengjiang Li, Wenhao Liu, Pengyang Wang, Jiaxu Cui, Yuanchun Zhou, Pengfei Wang
2024	J	`jnl`	A Comprehensive Survey on Data Augmentation. CoRR Zaitian Wang, Pengfei Wang, Kunpeng Liu, Pengyang Wang, Yanjie Fu, Chang-Tien Lu, Charu C. Aggarwal, Jian Pei, Yuanchun Zhou
2024	J	`jnl`	A Dual-channel Semi-supervised Learning Framework on Graphs via Knowledge Transfer and Meta-learning. ACM Trans. Web Ziyue Qiao, Pengyang Wang, Pengfei Wang, Zhiyuan Ning, Yanjie Fu, Yi Du, Yuanchun Zhou, Jianqiang Huang, Xian-Sheng Hua, Hui Xiong
2024	J	`jnl`	Addressing Distribution Shift in Time Series Forecasting with Instance Normalization Flows. CoRR Wei Fan, Shun Zheng, Pengyang Wang, Rui Xie, Jiang Bian, Yanjie Fu
2024	J	`jnl`	BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation. CoRR Haiyang Yu, Tian Xie, Jiaping Gui, Pengyang Wang, Ping Yi, Yue Wu
2024	A*	`conf`	Decoupled Invariant Attention Network for Multivariate Time-series Forecasting. IJCAI Haihua Xu, Wei Fan, Kun Yi, Pengyang Wang
2024	A	`conf`	Dual-stage Flows-based Generative Modeling for Traceable Urban Planning. SDM Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu
2024	A*	`conf`	DyGKT: Dynamic Graph Learning for Knowledge Tracing. KDD Ke Cheng, Linzhi Peng, Pengyang Wang, Junchen Ye, Leilei Sun, Bowen Du
2024	J	`jnl`	DyGKT: Dynamic Graph Learning for Knowledge Tracing. CoRR Ke Cheng, Linzhi Peng, Pengyang Wang, Junchen Ye, Leilei Sun, Bowen Du
2024	A*	`conf`	FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. IJCAI Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou
2024	J	`jnl`	FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. CoRR Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou
2024	A*	`conf`	Hierarchical Reinforcement Learning for Point of Interest Recommendation. IJCAI Yanan Xiao, Lu Jiang, Kunpeng Liu, Yuanbo Xu, Pengyang Wang, Minghao Yin
2024	A*	`conf`	Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation. IJCAI Lu Jiang, Yanan Xiao, Xinxin Zhao, Yuanbo Xu, Shuli Hu, Pengyang Wang, Minghao Yin
2024	J	`jnl`	Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset. CoRR Qi Hao, Runchang Liang, Yue Gao, Hao Dong, Wei Fan, Lu Jiang, Pengyang Wang
2024	A*	`conf`	Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction. IJCAI Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang
2024	J	`jnl`	Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction. CoRR Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang
2024	A	`conf`	PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment. CIKM Zeyu Dong, Qingqing Long, Yihang Zhou, Pengfei Wang, Zhihong Zhu, Xiao Luo, Yidong Wang, Pengyang Wang, Yuanchun Zhou
2024	J	`jnl`	REPLAY: Modeling Time-Varying Temporal Regularities of Human Mobility for Location Prediction over Sparse Trajectories. CoRR Bangchao Deng, Bingqing Qu, Pengyang Wang, Dingqi Yang
2024	A*	`conf`	Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows. IJCAI Xuanming Hu, Wei Fan, Haifeng Chen, Pengyang Wang, Yanjie Fu
2024	J	`jnl`	Schema-Aware Hyper-Relational Knowledge Graph Embeddings for Link Prediction. IEEE Trans. Knowl. Data Eng. Yuhuan Lu, Dingqi Yang, Pengyang Wang, Paolo Rosso, Philippe Cudré-Mauroux
2024	A*	`conf`	Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation. AAAI Zhaofan Zhang, Yanan Xiao, Lu Jiang, Dingqi Yang, Minghao Yin, Pengyang Wang
2024	J	`jnl`	Temporal inductive path neural network for temporal knowledge graph reasoning. Artif. Intell. Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou
2024	J	`jnl`	TriMLP: A Foundational MLP-Like Architecture for Sequential Recommendation. ACM Trans. Inf. Syst. Yiheng Jiang, Yuanbo Xu, Yongjian Yang, Funing Yang, Pengyang Wang, Chaozhuo Li, Fuzhen Zhuang, Hui Xiong
2023	A*	`conf`	Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning. IJCAI Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu
2023	J	`jnl`	Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning. CoRR Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu
2023	J	`jnl`	Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation. ACM Trans. Spatial Algorithms Syst. Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu
2023	A*	`conf`	Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift. ICDM Xuanming Hu, Wei Fan, Kun Yi, Pengfei Wang, Yuanbo Xu, Yanjie Fu, Pengyang Wang
2023	A	`conf`	Deep Generative Imputation Model for Missing Not At Random Data. CIKM Jialei Chen, Yuanbo Xu, Pengyang Wang, Yongjian Yang
2023	J	`jnl`	Deep Generative Imputation Model for Missing Not At Random Data. CoRR Jialei Chen, Yuanbo Xu, Pengyang Wang, Yongjian Yang
2023	J	`jnl`	Deep-learning-based object classification of tactile robot hand for smart factory. Appl. Intell. Dongkun Wang, Yunfei Teng, Jieyang Peng, Junkai Zhao, Pengyang Wang
2023	A*	`conf`	Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting. AAAI Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu
2023	J	`jnl`	Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting. CoRR Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu
2023	J	`jnl`	Dual-stage Flows-based Generative Modeling for Traceable Urban Planning. CoRR Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu
2023	A*	`conf`	FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. NeurIPS Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu
2023	J	`jnl`	FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. CoRR Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu
2023	A*	`conf`	Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. NeurIPS Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu
2023	J	`jnl`	Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. CoRR Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Defu Lian, Ning An, Longbing Cao, Zhendong Niu
2023	J	`jnl`	Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification. IEEE Trans. Knowl. Data Eng. Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Hui Xiong, Yuanchun Zhou
2023	A*	`conf`	Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation. ICDM Camilo Gomez, Pengyang Wang, Yanjie Fu
2023	A*	`conf`	Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning. AAAI Lu Jiang, Yibin Wang, Jianan Wang, Pengyang Wang, Minghao Yin
2023	J	`jnl`	Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning. CoRR Lu Jiang, Yibin Wang, Jianan Wang, Pengyang Wang, Minghao Yin
2023	J	`jnl`	RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training. IEEE Trans. Big Data Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Denghui Zhang, Yi Du, Yuanchun Zhou
2023	J	`jnl`	Reinforced Explainable Knowledge Concept Recommendation in MOOCs. ACM Trans. Intell. Syst. Technol. Lu Jiang, Kunpeng Liu, Yibin Wang, Dongjie Wang, Pengyang Wang, Yanjie Fu, Minghao Yin
2023	J	`jnl`	Reinforced Imitative Graph Learning for Mobile User Profiling. IEEE Trans. Knowl. Data Eng. Dongjie Wang, Pengyang Wang, Yanjie Fu, Kunpeng Liu, Hui Xiong, Charles E. Hughes
2023	J	`jnl`	Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation. CoRR Zhaofan Zhang, Yanan Xiao, Lu Jiang, Dingqi Yang, Minghao Yin, Pengyang Wang
2023	J	`jnl`	Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning. CoRR Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou
2023	A*	`conf`	Toward Efficient Automated Feature Engineering. ICDE Kafeng Wang, Pengyang Wang, Chengzhong Xu
2022	J	`jnl`	Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations. CoRR Dongkun Wang, Wei Fan, Pengyang Wang, Pengfei Wang, Dongjie Wang, Denghui Zhang, Yanjie Fu
2022	J	`jnl`	Graph Soft-Contrastive Learning via Neighborhood Ranking. CoRR Zhiyuan Ning, Pengfei Wang, Pengyang Wang, Ziyue Qiao, Wei Fan, Denghui Zhang, Yi Du, Yuanchun Zhou
2022	J	`jnl`	Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification. CoRR Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Hui Xiong, Yuanchun Zhou
2022	J	`jnl`	Reinforced Imitative Graph Learning for Mobile User Profiling. CoRR Dongjie Wang, Pengyang Wang, Yanjie Fu, Kunpeng Liu, Hui Xiong, Charles E. Hughes
2022	A*	`conf`	Semi-supervised Drifted Stream Learning with Short Lookback. KDD Weijieying Ren, Pengyang Wang, Xiaolin Li, Charles E. Hughes, Yanjie Fu
2022	J	`jnl`	Semi-supervised Drifted Stream Learning with Short Lookback. CoRR Weijieying Ren, Pengyang Wang, Xiaolin Li, Charles E. Hughes, Yanjie Fu
2022	J	`jnl`	Toward Efficient Automated Feature Engineering. CoRR Kafeng Wang, Pengyang Wang, Chengzhong Xu
2022	J	`jnl`	Who Should Review Your Proposal? Interdisciplinary Topic Path Detection for Research Proposals. CoRR Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Dong Li, Yuanchun Zhou
2021	—	`conf`	Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning. SIGSPATIAL/GIS Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu
2021	J	`jnl`	Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning. CoRR Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu
2021	J	`jnl`	Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation. CoRR Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu
2021	A	`conf`	EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling. SDM Lu Jiang, Pengyang Wang, Ke Cheng, Kunpeng Liu, Minghao Yin, Bo Jin, Yanjie Fu
2021	A*	`conf`	Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification. ICDM Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang, Yuanchun Zhou
2021	J	`jnl`	Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification. CoRR Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang
2021	J	`jnl`	Measuring Urban Vibrancy of Residential Communities Using Big Crowdsourced Geotagged Data. Frontiers Big Data Pengyang Wang, Kunpeng Liu, Dongjie Wang, Yanjie Fu
2021	J	`jnl`	RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training. CoRR Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou
2021	A*	`conf`	Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective. AAAI Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E. Hughes, Yanjie Fu
2021	J	`jnl`	Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective. CoRR Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E. Hughes, Yanjie Fu
2021	J	`jnl`	Spatiotemporal Representation Learning for Driving Behavior Analysis: A Joint Perspective of Peer and Temporal Dependencies. IEEE Trans. Knowl. Data Eng. Pengyang Wang, Xiaolin Li, Yu Zheng, Charu Aggarwal, Yanjie Fu
2021	J	`jnl`	Towards Semantically-Rich Spatial Network Representation Learning via Automated Feature Topic Pairing. Frontiers Big Data Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu
2020	A*	`conf`	A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement. WWW Pengyang Wang, Jiaping Gui, Zhengzhang Chen, Junghwan Rhee, Haifeng Chen, Yanjie Fu
2020	A*	`conf`	AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. ICDM Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu
2020	J	`jnl`	AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. CoRR Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu
2020	A	`conf`	Collective Embedding with Feature Importance: A Unified Approach for Spatiotemporal Network Embedding. CIKM Dakshak Keerthi Chandra, Pengyang Wang, Jennifer L. Leopold, Yanjie Fu
2020	A*	`conf`	Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection. ICDM Dongjie Wang, Pengyang Wang, Jingbo Zhou, Leilei Sun, Bowen Du, Yanjie Fu
2020	J	`jnl`	Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection. CoRR Dongjie Wang, Pengyang Wang, Jingbo Zhou, Leilei Sun, Bowen Du, Yanjie Fu
2020	J	`jnl`	E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce. CoRR Denghui Zhang, Zixuan Yuan, Yanchi Liu, Zuohui Fu, Fuzhen Zhuang, Pengyang Wang, Haifeng Chen, Hui Xiong
2020	A*	`conf`	Exploiting Mutual Information for Substructure-aware Graph Representation Learning. IJCAI Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien A. Hua
2020	A*	`conf`	Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams. KDD Pengyang Wang, Kunpeng Liu, Lu Jiang, Xiaolin Li, Yanjie Fu
2020	J	`jnl`	Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning. CoRR Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong
2020	—	`conf`	Reimagining City Configuration: Automated Urban Planning via Adversarial Learning. SIGSPATIAL/GIS Dongjie Wang, Yanjie Fu, Pengyang Wang, Bo Huang, Chang-Tien Lu
2020	J	`jnl`	Reimagining City Configuration: Automated Urban Planning via Adversarial Learning. CoRR Dongjie Wang, Yanjie Fu, Pengyang Wang, Bo Huang, Chang-Tien Lu
2020	A*	`conf`	Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning. ICDM Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou
2020	J	`jnl`	Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning. CoRR Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou
2019	A*	`conf`	Adversarial Substructured Representation Learning for Mobile User Profiling. KDD Pengyang Wang, Yanjie Fu, Hui Xiong, Xiaolin Li
2019	A*	`conf`	Beyond Geo-First Law: Learning Spatial Representations via Integrated Autocorrelations and Complementarity. ICDM Jiadi Du, Yunchao Zhang, Pengyang Wang, Jennifer L. Leopold, Yanjie Fu
2019	—	`conf`	Collective Representation Learning on Spatiotemporal Heterogeneous Information Networks. SIGSPATIAL/GIS Dakshak Keerthi Chandra, Pengyang Wang, Jennifer L. Leopold, Yanjie Fu
2019	A*	`conf`	Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations. AAAI Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li
2019	A	`conf`	Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning. CIKM Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong
2019	J	`jnl`	Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data. IEEE Trans. Knowl. Data Eng. Yanjie Fu, Guannan Liu, Yong Ge, Pengyang Wang, Hengshu Zhu, Chunxiao Li, Hui Xiong
2019	A*	`conf`	Unifying Inter-region Autocorrelation and Intra-region Structures for Spatial Embedding via Collective Adversarial Learning. KDD Yunchao Zhang, Yanjie Fu, Pengyang Wang, Xiaolin Li, Yu Zheng
2018	A	`conf`	Ensemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial Graphs. SDM Pengyang Wang, Jiawei Zhang, Guannan Liu, Yanjie Fu, Charu C. Aggarwal
2018	J	`jnl`	Learning Urban Community Structures: A Collective Embedding Perspective with Periodic Spatial-temporal Mobility Graphs. ACM Trans. Intell. Syst. Technol. Pengyang Wang, Yanjie Fu, Jiawei Zhang, Xiaolin Li, Dan Lin
2018	A	`conf`	Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction. SDM Kunpeng Liu, Pengyang Wang, Jiawei Zhang, Yanjie Fu, Sajal K. Das
2018	A*	`conf`	You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis. KDD Pengyang Wang, Yanjie Fu, Jiawei Zhang, Pengfei Wang, Yu Zheng, Charu C. Aggarwal