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2020 – today
- 2026
[j14]Zhipeng Liu
, Peibo Duan, Xuan Tang, Baixin Li, Yongsheng Huang, Mingyang Geng, Changsheng Zhang, Bin Zhang, Binwu Wang:
TimeFormer: Transformer with attention modulation empowered by temporal characteristics for time series forecasting. Expert Syst. Appl. 307: 131040 (2026)- [c27]Guanjun Wang, Jianhao Zhang, Jiaming Ma, Sheng Huang, Pengkun Wang, Zhengyang Zhou, Binwu Wang, Yang Wang:
U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions. AAAI 2026: 26169-26177 - [c26]Zhiqing Cui, Binwu Wang, Qingxiang Liu, Yeqiang Wang, Zhengyang Zhou, Yuxuan Liang, Yang Wang:
Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models. ACL (1) 2026: 764-787 - [c25]Shichao Ma, Zhengyang Zhou, Qihe Huang, Binwu Wang, Yang Wang:
QuiZSF: A Retrieval-Augmented Framework for Zero-Shot Time Series Forecasting. WWW 2026: 1947-1958 - [c24]Zhipeng Liu, Peibo Duan, Xuan Tang, Haodong Jing, Mingyang Geng, Yongsheng Huang, Jialu Xu, Bin Zhang, Binwu Wang:
We Need a More Robust Classifier: Dual Causal Learning Empowers Domain-Incremental Time Series Classification. WWW 2026: 7201-7210 - [i16]Zhipeng Liu, Peibo Duan, Xuan Tang, Haodong Jing, Mingyang Geng, Yongsheng Huang, Jialu Xu, Bin Zhang, Binwu Wang:
We Need a More Robust Classifier: Dual Causal Learning Empowers Domain-Incremental Time Series Classification. CoRR abs/2601.10312 (2026) - [i15]Liheng Yu, Zhe Zhao, Yuxuan Wang, Pengkun Wang, Binwu Wang, Yang Wang:
FaLW: A Forgetting-aware Loss Reweighting for Long-tailed Unlearning. CoRR abs/2601.18650 (2026) - [i14]Jiaming Ma, Siyuan Mu, Ruilin Tang, Haofeng Ma, Qihe Huang, Zhengyang Zhou, Pengkun Wang, Binwu Wang, Yang Wang:
To See Far, Look Close: Evolutionary Forecasting for Long-term Time Series. CoRR abs/2601.23114 (2026) - [i13]Jiaming Ma, Qihe Huang, Haofeng Ma, Guanjun Wang, Sheng Huang, Zhengyang Zhou, Pengkun Wang, Binwu Wang, Yang Wang:
PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting. CoRR abs/2602.00654 (2026) - [i12]Jiaming Ma, Binwu Wang, Pengkun Wang, Xu Wang, Zhengyang Zhou, Yang Wang:
A General ReLearner: Empowering Spatiotemporal Prediction by Re-learning Input-label Residual. CoRR abs/2602.02563 (2026) - [i11]Lecheng Yan, Ruizhe Li, Xicheng Han, Wenxi Li, Binwu Wang, Longyue Wang, Chenyang Lyu, Guanhua Chen:
Trust No Tool: Evaluating and Defending LLM Agents under Untrusted Tool Feedback. CoRR abs/2605.17453 (2026) - 2025
- [j13]Zhengyang Zhou, Qihe Huang, Binwu Wang, Jianpeng Hou, Kuo Yang, Yuxuan Liang, Yu Zheng, Yang Wang:
ComS2T: A Complementary Spatiotemporal Learning System for Data-Adaptive Model Evolution. IEEE Trans. Pattern Anal. Mach. Intell. 47(10): 8506-8523 (2025) - [j12]Jiaming Ma, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Xu Wang, Yang Wang:
BiST: A Lightweight and Efficient Bi-directional Model for Spatiotemporal Prediction. Proc. VLDB Endow. 18(6): 1663-1676 (2025) - [j11]Jiaming Ma, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Yudong Zhang, Xu Wang, Yang Wang:
MobiMixer: A Multi-Scale Spatiotemporal Mixing Model for Mobile Traffic Prediction. IEEE Trans. Mob. Comput. 24(11): 11972-11986 (2025) - [j10]Binwu Wang, Pengkun Wang, Yudong Zhang, Xu Wang, Zhengyang Zhou, Yang Wang:
Condition-Guided Urban Traffic Co-Prediction With Multiple Sparse Surveillance Data. IEEE Trans. Veh. Technol. 74(1): 166-178 (2025) - [c23]Jiaming Ma, Guanjun Wang, Sheng Huang, Kuo Yang, Binwu Wang, Pengkun Wang, Yang Wang:
Spatiotemporal Causal Decoupling Model for Air Quality Forecasting. ICASSP 2025: 1-5 - [c22]Zhaoyang Sun, Yudong Zhang, Xuan Yu, Kai Wang, Binwu Wang, Yang Wang, Xu Wang:
Time-Space-Interlaced Spatiotemporal Graph Forecasting via Two-Stage Summarized Attention. ICASSP 2025: 1-5 - [c21]Jiaming Ma, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Xu Wang, Yang Wang:
Robust Spatio-Temporal Centralized Interaction for OOD Learning. ICML 2025 - [c20]Jiaming Ma, Zhiqing Cui, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Yang Wang:
Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting. IJCAI 2025: 3171-3179 - [c19]Zhipeng Liu, Peibo Duan, Binwu Wang, Xuan Tang, Qi Chu, Changsheng Zhang, Yongsheng Huang, Bin Zhang:
DisMS-TS: Eliminating Redundant Multi-scale Features for Time Series Classification. ACM Multimedia 2025: 10817-10826 - [c18]Qihe Huang, Zhengyang Zhou, Yangze Li, Kuo Yang, Binwu Wang, Yang Wang:
Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation. NeurIPS 2025 - [c17]Jiaming Ma, Binwu Wang, Qihe Huang, Guanjun Wang, Pengkun Wang, Zhengyang Zhou, Yang Wang:
MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling. NeurIPS 2025 - [i10]Binwu Wang, Isaac Rodriguez, Leon Breitinger, Fabian Tollens, Timo Itzel, Dennis Grimm, Andrei Sirazitdinov, Matthias F. Frölich, Stefan O. Schönberg, Andreas Teufel, Jürgen Hesser, Wenzhao Zhao:
A baseline for machine-learning-based hepatocellular carcinoma diagnosis using multi-modal clinical data. CoRR abs/2501.11535 (2025) - [i9]Jiaming Ma, Guanjun Wang, Sheng Huang, Kuo Yang, Binwu Wang, Pengkun Wang, Yang Wang:
Spatiotemporal Causal Decoupling Model for Air Quality Forecasting. CoRR abs/2505.20119 (2025) - [i8]Zhipeng Liu, Peibo Duan, Binwu Wang, Xuan Tang, Qi Chu, Changsheng Zhang, Yongsheng Huang, Bin Zhang:
DisMS-TS: Eliminating Redundant Multi-Scale Features for Time Series Classification. CoRR abs/2507.04600 (2025) - [i7]Shichao Ma, Zhengyang Zhou, Qihe Huang, Binwu Wang, Kuo Yang, Huan Li, Yang Wang:
QuiZSF: An efficient data-model interaction framework for zero-shot time-series forecasting. CoRR abs/2508.06915 (2025) - [i6]Zhipeng Liu, Peibo Duan, Xuan Tang, Baixin Li, Yongsheng Huang, Mingyang Geng, Changsheng Zhang, Bin Zhang, Binwu Wang:
TimeFormer: Transformer with Attention Modulation Empowered by Temporal Characteristics for Time Series Forecasting. CoRR abs/2510.06680 (2025) - [i5]Zhiqing Cui, Binwu Wang, Qingxiang Liu, Yeqiang Wang, Zhengyang Zhou, Yuxuan Liang, Yang Wang:
Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models. CoRR abs/2510.07858 (2025) - 2024
- [j9]Yudong Zhang, Xu Wang, Zhaoyang Sun, Pengkun Wang, Binwu Wang, Limin Li, Yang Wang:
Meta Koopman decomposition for time series forecasting under temporal distribution shifts. Adv. Eng. Informatics 62: 102840 (2024) - [j8]Li-Min Li, Binwu Wang, Xu Wang, Pengkun Wang, Yudong Zhang, Yang Wang:
Face Anti-Spoofing with Unknown Attacks: A Comprehensive Feature Extraction and Representation Perspective. J. Comput. Sci. Technol. 39(4): 827-840 (2024) - [j7]Yudong Zhang, Pengkun Wang, Binwu Wang, Xu Wang, Zhe Zhao, Zhengyang Zhou, Lei Bai, Yang Wang:
Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting. IEEE Trans. Intell. Transp. Syst. 25(10): 14070-14086 (2024) - [j6]Zhengyang Zhou, Kuo Yang, Yuxuan Liang, Binwu Wang, Hongyang Chen, Yang Wang:
Predicting Collective Human Mobility via Countering Spatiotemporal Heterogeneity. IEEE Trans. Mob. Comput. 23(5): 4723-4738 (2024) - [j5]Yudong Zhang, Xu Wang, Pengkun Wang, Binwu Wang, Zhengyang Zhou, Yang Wang:
Modeling Spatio-Temporal Mobility Across Data Silos via Personalized Federated Learning. IEEE Trans. Mob. Comput. 23(12): 15289-15306 (2024) - [j4]Xu Wang, Pengkun Wang, Binwu Wang, Yudong Zhang, Zhengyang Zhou, Lei Bai, Yang Wang:
Latent Gaussian Processes Based Graph Learning for Urban Traffic Prediction. IEEE Trans. Veh. Technol. 73(1): 282-294 (2024) - [c16]Binwu Wang, Pengkun Wang, Yudong Zhang, Xu Wang, Zhengyang Zhou, Lei Bai, Yang Wang:
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective. AAAI 2024: 9089-9097 - [c15]Xu Wang, Pengfei Gu, Yudong Zhang, Binwu Wang, Pengkun Wang, Yang Wang:
Gradient Reactivation Enhanced Causal Attention for Out-Of-Distribution Generalizable Graph Classification. ICASSP 2024: 6700-6704 - [c14]Zhe Zhao, Pengkun Wang, Haibin Wen, Yudong Zhang, Binwu Wang, Yang Wang:
Graph Networks Stand Strong: Enhancing Robustness via Stability Constraints. ICASSP 2024: 7315-7319 - [c13]Binwu Wang, Pengkun Wang, Wei Xu, Xu Wang, Yudong Zhang, Kun Wang, Yang Wang:
Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning. ICLR 2024 - [c12]Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Wei Xu, Yang Wang:
Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity. IJCAI 2024: 2388-2396 - [c11]Binwu Wang, Jiaming Ma, Pengkun Wang, Xu Wang, Yudong Zhang, Zhengyang Zhou, Yang Wang:
STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts. KDD 2024: 2948-2959 - [c10]Pengkun Wang, Zhe Zhao, Haibin Wen, Fanfu Wang, Binwu Wang, Qingfu Zhang, Yang Wang:
LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems. NeurIPS 2024 - [c9]Wei Xu, Pengkun Wang, Zhe Zhao, Binwu Wang, Xu Wang, Yang Wang:
When Imbalance Meets Imbalance: Structure-driven Learning for Imbalanced Graph Classification. WWW 2024: 905-913 - [i4]Zhengyang Zhou, Qihe Huang, Binwu Wang, Jianpeng Hou, Kuo Yang, Yuxuan Liang, Yang Wang:
ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution. CoRR abs/2403.01738 (2024) - [i3]Binwu Wang, Yan Leng, Guang Wang, Yang Wang:
FusionTransNet for Smart Urban Mobility: Spatiotemporal Traffic Forecasting Through Multimodal Network Integration. CoRR abs/2405.05786 (2024) - 2023
- [j3]Binwu Wang, Yudong Zhang, Jiahao Shi, Pengkun Wang, Xu Wang, Lei Bai, Yang Wang:
Knowledge Expansion and Consolidation for Continual Traffic Prediction With Expanding Graphs. IEEE Trans. Intell. Transp. Syst. 24(7): 7190-7201 (2023) - [c8]Pengkun Wang, Xu Wang, Binwu Wang, Yudong Zhang, Lei Bai, Yang Wang:
Long-Tailed Time Series Classification via Feature Space Rebalancing. DASFAA (1) 2023: 151-166 - [c7]Binwu Wang, Yudong Zhang, Pengkun Wang, Xu Wang, Lei Bai, Yang Wang:
A Knowledge-Driven Memory System for Traffic Flow Prediction. DASFAA (4) 2023: 192-207 - [c6]Binwu Wang, Yudong Zhang, Xu Wang, Pengkun Wang, Zhengyang Zhou, Lei Bai, Yang Wang:
Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction. KDD 2023: 2223-2232 - [c5]Xu Wang, Hongbo Zhang, Pengkun Wang, Yudong Zhang, Binwu Wang, Zhengyang Zhou, Yang Wang:
An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time Series. KDD 2023: 2409-2418 - [c4]Qihe Huang, Lei Shen, Ruixin Zhang, Shouhong Ding, Binwu Wang, Zhengyang Zhou, Yang Wang:
CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement. NeurIPS 2023 - [c3]Zhengyang Zhou, Kuo Yang, Wei Sun, Binwu Wang, Min Zhou, Yunan Zong, Yang Wang:
Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics. SDM 2023: 190-198 - [i2]Xu Wang, Pengfei Gu, Pengkun Wang, Binwu Wang, Zhengyang Zhou, Lei Bai, Yang Wang:
Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective. CoRR abs/2301.11742 (2023) - 2022
- [c2]Pengkun Wang, Xu Wang, Binwu Wang, Yudong Zhang, Lei Bai, Yang Wang:
Countering Modal Redundancy and Heterogeneity: A Self-Correcting Multimodal Fusion. ICDM 2022: 518-527 - [c1]Yudong Zhang, Binwu Wang, Ziyang Shan, Zhengyang Zhou, Yang Wang:
CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction. WSDM 2022: 1406-1414 - [i1]Zhengyang Zhou, Kuo Yang, Wei Sun, Binwu Wang, Min Zhou, Yunan Zong, Yang Wang:
Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics. CoRR abs/2208.08878 (2022) - 2020
- [j2]Luo Liu, Jianmei Liu, Zhenjie Liu, Xuliang Xu, Binwu Wang:
Analysis on the Spatio-Temporal Characteristics of Urban Expansion and the Complex Driving Mechanism: Taking the Pearl River Delta Urban Agglomeration as a Case. Complex. 2020: 8157143:1-8157143:12 (2020) - [j1]Zhi Qiao, Luo Liu, Yuanwei Qin, Xinliang Xu, Binwu Wang, Zhenjie Liu:
The Impact of Urban Renewal on Land Surface Temperature Changes: A Case Study in the Main City of Guangzhou, China. Remote. Sens. 12(5): 794 (2020)
Coauthor Index
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