Zhengyang Zhou

99 papers A* 36A 4B 1Journal 53Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A General ReLearner: Empowering Spatiotemporal Prediction by Re-learning Input-label Residual. CoRR Jiaming Ma, Binwu Wang, Pengkun Wang, Xu Wang, Zhengyang Zhou, Yang Wang
2026	J	`jnl`	AI-assisted literature screening: A hybrid approach using large language models and retrieval-augmented generation. Int. J. Medical Informatics Yiming Li, Xinsong Du, Yifei Wang, Xinyu Chen, Zhengyang Zhou, John Lian, Ya-Wen Chuang, Pengyu Hong, Peter C. Hou, Li Zhou
2026	A*	`conf`	DualGR: Generative Retrieval with Long and Short-Term Interests Modeling. WWW Zhongchao Yi, Kai Feng, Xiaojian Ma, Yalong Wang, Yongqi Liu, Han Li, Zhengyang Zhou, Yang Wang
2026	A*	`conf`	MSAnchor: De Novo Molecular Generation from Mass Spectrometry Data with Anchor-Extended Molecular Scaffolds. AAAI Xiaohan Qin, Chao Wang, Zhengyang Zhou, Linjiang Chen, Wenjie Du, Yang Wang
2026	J	`jnl`	NuwaDynamics+: A Causality-Aware Generative Framework for Spatio-Temporal Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. Kun Wang, Yifan Duan, Hao Wu, Jian Zhao, Kai Wang, Zhengyang Zhou, Yuxuan Liang, Xu Wang, Yang Wang, Yu Zheng, Xuelong Li
2026	J	`jnl`	PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting. CoRR Jiaming Ma, Qihe Huang, Haofeng Ma, Guanjun Wang, Sheng Huang, Zhengyang Zhou, Pengkun Wang, Binwu Wang, Yang Wang
2026	J	`jnl`	Performance and improvement strategies for adapting generative large language models for electronic health record applications: A systematic review. Int. J. Medical Informatics Xinsong Du, Zhengyang Zhou, Yifei Wang, Ya-Wen Chuang, Yiming Li, Richard Yang, Pengyu Hong, David W. Bates, Li Zhou
2026	A*	`conf`	QuiZSF: A Retrieval-Augmented Framework for Zero-Shot Time Series Forecasting. WWW Shichao Ma, Zhengyang Zhou, Qihe Huang, Binwu Wang, Yang Wang
2026	J	`jnl`	TSPO: Breaking the Double Homogenization Dilemma in Multi-turn Search Policy Optimization. CoRR Shichao Ma, Zhiyuan Ma, Ming Yang, Xiaofan Li, Xing Wu, Jintao Du, Yu Cheng, Weiqiang Wang, Qiliang Liu, Zhengyang Zhou, Yang Wang
2026	A*	`conf`	Talk2Image: A Multi-Agent System for Multi-Turn Image Generation and Editing. AAAI Shichao Ma, Yunhe Guo, Jiahao Su, Qihe Huang, Zhengyang Zhou, Yang Wang
2026	J	`jnl`	Testing and evaluation of generative large language models in electronic health record applications: a systematic review. J. Am. Medical Informatics Assoc. Xinsong Du, Zhengyang Zhou, Yifei Wang, Ya-Wen Chuang, Yiming Li, Richard Yang, Wenyu Zhang, Xinyi Wang, Xinyu Chen, Hao Guan, John Lian, Pengyu Hong, David W. Bates, Li Zhou
2026	J	`jnl`	To See Far, Look Close: Evolutionary Forecasting for Long-term Time Series. CoRR Jiaming Ma, Siyuan Mu, Ruilin Tang, Haofeng Ma, Qihe Huang, Zhengyang Zhou, Pengkun Wang, Binwu Wang, Yang Wang
2026	A*	`conf`	U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions. AAAI Guanjun Wang, Jianhao Zhang, Jiaming Ma, Sheng Huang, Pengkun Wang, Zhengyang Zhou, Binwu Wang, Yang Wang
2025	J	`jnl`	Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models. CoRR Zhiqing Cui, Binwu Wang, Qingxiang Liu, Yeqiang Wang, Zhengyang Zhou, Yuxuan Liang, Yang Wang
2025	J	`jnl`	BiST: A Lightweight and Efficient Bi-directional Model for Spatiotemporal Prediction. Proc. VLDB Endow. Jiaming Ma, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Xu Wang, Yang Wang
2025	A*	`conf`	Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting. IJCAI Jiaming Ma, Zhiqing Cui, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Yang Wang
2025	J	`jnl`	ComS2T: A Complementary Spatiotemporal Learning System for Data-Adaptive Model Evolution. IEEE Trans. Pattern Anal. Mach. Intell. Zhengyang Zhou, Qihe Huang, Binwu Wang, Jianpeng Hou, Kuo Yang, Yuxuan Liang, Yu Zheng, Yang Wang
2025	J	`jnl`	Condition-Guided Urban Traffic Co-Prediction With Multiple Sparse Surveillance Data. IEEE Trans. Veh. Technol. Binwu Wang, Pengkun Wang, Yudong Zhang, Xu Wang, Zhengyang Zhou, Yang Wang
2025	A*	`conf`	DIFFODE: Neural ODE with Differentiable Hidden State for Irregular Time Series Analysis. ICDE Yudong Zhang, Xu Wang, Xuan Yu, Zhengyang Zhou, Xing Xu, Lei Bai, Yang Wang
2025	J	`jnl`	Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks. IEEE Trans. Knowl. Data Eng. Zhe Zhao, Pengkun Wang, Xu Wang, Haibin Wen, Xiaolong Xie, Zhengyang Zhou, Qingfu Zhang, Yang Wang
2025	—	`conf`	Do We Really Need GCNs in Traffic Forecasting? A Graph-Less Pure-MLP Architecture. WWW (Companion Volume) Yudong Zhang, Xu Wang, Xuan Yu, Kuo Yang, Zhengyang Zhou, Yang Wang
2025	J	`jnl`	DualGR: Generative Retrieval with Long and Short-Term Interests Modeling. CoRR Zhongchao Yi, Kai Feng, Xiaojian Ma, Yalong Wang, Yongqi Liu, Han Li, Zhengyang Zhou, Yang Wang
2025	J	`jnl`	Dynamic Event-Triggered and Fast Natural Logarithmic Sliding Mode Path Tracking Control for Autonomous Ground Vehicles With the Experiment Validation. IEEE Trans. Veh. Technol. Zongliang Chen, Shuguo Pan, Kegen Yu, Xinhua Tang, Wang Gao, Zhengyang Zhou
2025	A*	`conf`	Enhancing Graph Invariant Learning from a Negative Inference Perspective. ICML Kuo Yang, Zhengyang Zhou, Qihe Huang, Wenjie Du, Limin Li, Wu Jiang, Yang Wang
2025	A*	`conf`	Exploiting Language Power for Time Series Forecasting with Exogenous Variables. WWW Qihe Huang, Zhengyang Zhou, Kuo Yang, Yang Wang
2025	J	`jnl`	FairSTG: Countering Performance Heterogeneity via Collaborative Sample-Level Optimization. IEEE Trans. Mob. Comput. Gengyu Lin, Zhengyang Zhou, Qihe Huang, Kuo Yang, Shifen Cheng, Yang Wang
2025	—	`conf`	FedSTG: Breaking through Spatio-Temporal Data Silos with Federated Graph Learning. WWW (Companion Volume) Yudong Zhang, Xu Wang, Xuan Yu, Kuo Yang, Zhengyang Zhou, Yang Wang
2025	A*	`conf`	LamPro: Multi-Prototype Representation Learning for Enhanced Visual Pattern Recognition. ICRA Ji Qi, Wei Sun, Qihe Huang, Zhengyang Zhou, Yang Wang
2025	J	`jnl`	MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning. CoRR Kuo Yang, Xingjie Yang, Linhui Yu, Qing Xu, Yan Fang, Xu Wang, Zhengyang Zhou, Yang Wang
2025	J	`jnl`	MobiMixer: A Multi-Scale Spatiotemporal Mixing Model for Mobile Traffic Prediction. IEEE Trans. Mob. Comput. Jiaming Ma, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Yudong Zhang, Xu Wang, Yang Wang
2025	J	`jnl`	QuiZSF: An efficient data-model interaction framework for zero-shot time-series forecasting. CoRR Shichao Ma, Zhengyang Zhou, Qihe Huang, Binwu Wang, Kuo Yang, Huan Li, Yang Wang
2025	J	`jnl`	RayE-Sub: Countering Subgraph Degradation via Perfect Reconstruction. IEEE Trans. Knowl. Data Eng. Kuo Yang, Zhengyang Zhou, Xu Wang, Pengkun Wang, Limin Li, Yang Wang
2025	A*	`conf`	Revealing Concept Shift in Spatio-Temporal Graphs via State Learning. IJCAI Kuo Yang, Yunhe Guo, Qihe Huang, Zhengyang Zhou, Yang Wang
2025	A*	`conf`	Robust Spatio-Temporal Centralized Interaction for OOD Learning. ICML Jiaming Ma, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Xu Wang, Yang Wang
2025	J	`jnl`	Soft causal learning for generalized molecule property prediction: An environment modeling perspective. Knowl. Inf. Syst. Limin Li, Zhengyang Zhou, Kuo Yang, Wenjie Du, Pengkun Wang, Yang Wang
2025	J	`jnl`	Soft causal learning for generalized molecule property prediction: An environment perspective. CoRR Limin Li, Kuo Yang, Wenjie Du, Pengkun Wang, Zhengyang Zhou, Yang Wang
2025	A*	`conf`	SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation. ICML Jiayue Liu, Zhongchao Yi, Zhengyang Zhou, Qihe Huang, Kuo Yang, Xu Wang, Yang Wang
2025	J	`jnl`	SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation. CoRR Jiayue Liu, Zhongchao Yi, Zhengyang Zhou, Qihe Huang, Kuo Yang, Xu Wang, Yang Wang
2025	J	`jnl`	Talk2Image: A Multi-Agent System for Multi-Turn Image Generation and Editing. CoRR Shichao Ma, Yunhe Guo, Jiahao Su, Qihe Huang, Zhengyang Zhou, Yang Wang
2025	A*	`conf`	TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting. ICML Qihe Huang, Zhengyang Zhou, Kuo Yang, Zhongchao Yi, Xu Wang, Yang Wang
2024	A*	`conf`	A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks. AAAI Zhe Zhao, Pengkun Wang, Haibin Wen, Yudong Zhang, Zhengyang Zhou, Yang Wang
2024	J	`jnl`	Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting. IEEE Trans. Intell. Transp. Syst. Yudong Zhang, Pengkun Wang, Binwu Wang, Xu Wang, Zhe Zhao, Zhengyang Zhou, Lei Bai, Yang Wang
2024	J	`jnl`	Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases. J. Biomed. Informatics Yifei Wang, Liqin Wang, Zhengyang Zhou, John Laurentiev, Joshua R. Lakin, Li Zhou, Pengyu Hong
2024	J	`jnl`	Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets. IEEE Trans. Pattern Anal. Mach. Intell. Kun Wang, Yuxuan Liang, Xinglin Li, Guohao Li, Bernard Ghanem, Roger Zimmermann, Zhengyang Zhou, Huahui Yi, Yudong Zhang, Yang Wang
2024	J	`jnl`	ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution. CoRR Zhengyang Zhou, Qihe Huang, Binwu Wang, Jianpeng Hou, Kuo Yang, Yuxuan Liang, Yang Wang
2024	A	`conf`	CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting. WSDM Zhengyang Zhou, Jiahao Shi, Hongbo Zhang, Qiongyu Chen, Xu Wang, Hongyang Chen, Yang Wang
2024	J	`jnl`	Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks. CoRR Zhe Zhao, Pengkun Wang, Xu Wang, Haibin Wen, Xiaolong Xie, Zhengyang Zhou, Qingfu Zhang, Yang Wang
2024	—	`conf`	EMoNet: An environment causal learning for molecule OOD generalization. BIBM Limin Li, Kuo Yang, Wenjie Du, Zhongchao Yi, Zhengyang Zhou, Yang Wang
2024	A*	`conf`	Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model. AAAI Hao Wu, Yuxuan Liang, Wei Xiong, Zhengyang Zhou, Wei Huang, Shilong Wang, Kun Wang
2024	J	`jnl`	FairSTG: Countering performance heterogeneity via collaborative sample-level optimization. CoRR Gengyu Lin, Zhengyang Zhou, Qihe Huang, Kuo Yang, Shifen Cheng, Yang Wang
2024	A*	`conf`	Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework. NeurIPS Zhongchao Yi, Zhengyang Zhou, Qihe Huang, Yanjiang Chen, Liheng Yu, Xu Wang, Yang Wang
2024	J	`jnl`	Get Rid of Task Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework. CoRR Zhongchao Yi, Zhengyang Zhou, Qihe Huang, Yanjiang Chen, Liheng Yu, Xu Wang, Yang Wang
2024	J	`jnl`	Graph Multi-Similarity Learning for Molecular Property Prediction. CoRR Hao Xu, Zhengyang Zhou, Pengyu Hong
2024	A*	`conf`	HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting. AAAI Qihe Huang, Lei Shen, Ruixin Zhang, Jiahuan Cheng, Shouhong Ding, Zhengyang Zhou, Yang Wang
2024	A*	`conf`	Improving Generalization of Dynamic Graph Learning via Environment Prompt. NeurIPS Kuo Yang, Zhengyang Zhou, Qihe Huang, Limin Li, Yuxuan Liang, Yang Wang
2024	J	`jnl`	Latent Gaussian Processes Based Graph Learning for Urban Traffic Prediction. IEEE Trans. Veh. Technol. Xu Wang, Pengkun Wang, Binwu Wang, Yudong Zhang, Zhengyang Zhou, Lei Bai, Yang Wang
2024	A*	`conf`	LeRet: Language-Empowered Retentive Network for Time Series Forecasting. IJCAI Qihe Huang, Zhengyang Zhou, Kuo Yang, Gengyu Lin, Zhongchao Yi, Yang Wang
2024	A*	`conf`	Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity. IJCAI Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Wei Xu, Yang Wang
2024	J	`jnl`	Modeling Spatio-Temporal Mobility Across Data Silos via Personalized Federated Learning. IEEE Trans. Mob. Comput. Yudong Zhang, Xu Wang, Pengkun Wang, Binwu Wang, Zhengyang Zhou, Yang Wang
2024	J	`jnl`	Multimodal Fusion with Relational Learning for Molecular Property Prediction. CoRR Zhengyang Zhou, Hao Xu, Pengyu Hong
2024	A*	`conf`	NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching. AAAI Hongbo Zhang, Guang Wang, Xu Wang, Zhengyang Zhou, Chen Zhang, Zheng Dong, Yang Wang
2024	J	`jnl`	Predicting Collective Human Mobility via Countering Spatiotemporal Heterogeneity. IEEE Trans. Mob. Comput. Zhengyang Zhou, Kuo Yang, Yuxuan Liang, Binwu Wang, Hongyang Chen, Yang Wang
2024	J	`jnl`	Prognosis Prediction of Diffuse Large B-Cell Lymphoma in $^{18}$F-FDG PET Images Based on Multi-Deep-Learning Models. IEEE J. Biomed. Health Informatics Chunjun Qian, Chong Jiang, Kai Xie, Chongyang Ding, Yue Teng, Jiawei Sun, Liugang Gao, Zhengyang Zhou, Xinye Ni
2024	A*	`conf`	STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts. KDD Binwu Wang, Jiaming Ma, Pengkun Wang, Xu Wang, Yudong Zhang, Zhengyang Zhou, Yang Wang
2024	—	`conf`	Scenario-Driven Cyber-Physical-Social System: Intelligent Workflow Generation Based on Capability. WWW (Companion Volume) Yi Li, Xinkui Zhao, Chen Chen, Shengye Pang, Zhengyang Zhou, Jianwei Yin
2024	A*	`conf`	Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective. AAAI Binwu Wang, Pengkun Wang, Yudong Zhang, Xu Wang, Zhengyang Zhou, Lei Bai, Yang Wang
2024	A*	`conf`	Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning. IJCAI Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang
2024	J	`jnl`	Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning. CoRR Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang
2023	A	`conf`	A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework. WSDM Xu Wang, Lianliang Chen, Hongbo Zhang, Pengkun Wang, Zhengyang Zhou, Yang Wang
2023	J	`jnl`	A2DJP: A Two Graph-Based Component Fused Learning Framework for Urban Anomaly Distribution and Duration Joint-Prediction. IEEE Trans. Knowl. Data Eng. Kun Wang, Zhengyang Zhou, Xu Wang, Pengkun Wang, Qi Fang, Yang Wang
2023	A*	`conf`	An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time Series. KDD Xu Wang, Hongbo Zhang, Pengkun Wang, Yudong Zhang, Binwu Wang, Zhengyang Zhou, Yang Wang
2023	J	`jnl`	Counterpart Fairness - Addressing Systematic between-group Differences in Fairness Evaluation. CoRR Yifei Wang, Zhengyang Zhou, Liqin Wang, John Laurentiev, Peter Hou, Li Zhou, Pengyu Hong
2023	A*	`conf`	CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement. NeurIPS Qihe Huang, Lei Shen, Ruixin Zhang, Shouhong Ding, Binwu Wang, Zhengyang Zhou, Yang Wang
2023	A*	`conf`	Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment. NeurIPS Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann
2023	J	`jnl`	Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment. CoRR Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann
2023	A*	`conf`	EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation. KDD Kuo Yang, Zhengyang Zhou, Wei Sun, Pengkun Wang, Xu Wang, Yang Wang
2023	J	`jnl`	Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model. CoRR Hao Wu, Shilong Wang, Yuxuan Liang, Zhengyang Zhou, Wei Huang, Wei Xiong, Kun Wang
2023	A*	`conf`	GReTo: Remedying dynamic graph topology-task discordance via target homophily. ICLR Zhengyang Zhou, Qihe Huang, Gengyu Lin, Kuo Yang, Lei Bai, Yang Wang
2023	J	`jnl`	Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective. CoRR Xu Wang, Pengfei Gu, Pengkun Wang, Binwu Wang, Zhengyang Zhou, Lei Bai, Yang Wang
2023	J	`jnl`	Joint Gated Co-Attention Based Multi-Modal Networks for Subregion House Price Prediction. IEEE Trans. Knowl. Data Eng. Pengkun Wang, Chuancai Ge, Zhengyang Zhou, Xu Wang, Yuantao Li, Yang Wang
2023	A*	`conf`	Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning. KDD Zhengyang Zhou, Qihe Huang, Kuo Yang, Kun Wang, Xu Wang, Yudong Zhang, Yuxuan Liang, Yang Wang
2023	J	`jnl`	Molecular Identification and Peak Assignment: Leveraging Multi-Level Multimodal Alignment on NMR. CoRR Hao Xu, Zhengyang Zhou, Pengyu Hong
2023	A*	`conf`	Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction. KDD Binwu Wang, Yudong Zhang, Xu Wang, Pengkun Wang, Zhengyang Zhou, Lei Bai, Yang Wang
2023	A	`conf`	Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics. SDM Zhengyang Zhou, Kuo Yang, Wei Sun, Binwu Wang, Min Zhou, Yunan Zong, Yang Wang
2022	A	`conf`	CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction. WSDM Yudong Zhang, Binwu Wang, Ziyang Shan, Zhengyang Zhou, Yang Wang
2022	J	`jnl`	Foresee Urban Sparse Traffic Accidents: A Spatiotemporal Multi-Granularity Perspective. IEEE Trans. Knowl. Data Eng. Zhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Chaochao Zhu
2022	J	`jnl`	Inferring Intersection Traffic Patterns With Sparse Video Surveillance Information: An ST-GAN Method. IEEE Trans. Veh. Technol. Pengkun Wang, Chaochao Zhu, Xu Wang, Zhengyang Zhou, Guang Wang, Yang Wang
2022	J	`jnl`	Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics. CoRR Zhengyang Zhou, Kuo Yang, Wei Sun, Binwu Wang, Min Zhou, Yunan Zong, Yang Wang
2021	A*	`conf`	STUaNet: Understanding Uncertainty in Spatiotemporal Collective Human Mobility. WWW Zhengyang Zhou, Yang Wang, Xike Xie, Lei Qiao, Yuantao Li
2021	J	`jnl`	STUaNet: Understanding uncertainty in spatiotemporal collective human mobility. CoRR Zhengyang Zhou, Yang Wang, Xike Xie, Lei Qiao, Yuantao Li
2021	A*	`conf`	TrajForesee: How limited detailed trajectories enhance large-scale sparse information to predict vehicle trajectories? ICDE Kangjia Shao, Yang Wang, Zhengyang Zhou, Xike Xie, Guang Wang
2020	J	`jnl`	Cascade structure predictive observer design for consensus control with applications to UAVs formation flying. Autom. Jianan Wang, Zhengyang Zhou, Chunyan Wang, Zhengtao Ding
2020	—	`conf`	Estimation of Urban Travel Time with Sparse Traffic Surveillance Data. HPCCT/BDAI Kangjia Shao, Kun Wang, Lianliang Chen, Zhengyang Zhou
2020	J	`jnl`	Large-Scale Intelligent Taxicab Scheduling: A Distributed and Future-Aware Approach. IEEE Trans. Veh. Technol. Yang Wang, Zhengyang Zhou, Kai Liu, Xike Xie, Wenhua Li
2020	A*	`conf`	RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework. AAAI Zhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Hengchang Liu
2020	J	`jnl`	RiskOracle: A Minute-level Citywide Traffic Accident Forecasting Framework. CoRR Zhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Hengchang Liu
2019	A*	`conf`	An Integrated Model for Urban Subregion House Price Forecasting: A Multi-source Data Perspective. ICDM Chuancai Ge, Yang Wang, Xike Xie, Hengchang Liu, Zhengyang Zhou
2019	B	`conf`	Attention Based Stack ResNet for Citywide Traffic Accident Prediction. MDM Zhengyang Zhou
2019	J	`jnl`	Multiple Quadrotors Formation Flying Control Design and Experimental Verification. Unmanned Syst. Jianan Wang, Zhengyang Zhou, Chunyan Wang, Jiayuan Shan