| 2026 | AAAI | Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition. | Yuan Dong, Zhe Zhao, Liheng Yu, Di Wu, Pengkun Wang |
| 2026 | AAAI | U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions. | Guanjun Wang, Jianhao Zhang, Jiaming Ma, Sheng Huang, Pengkun Wang, Zhengyang Zhou, Binwu Wang, Yang Wang |
| 2026 | AAAI | Rethinking Crystal Symmetry Prediction: A Decoupled Perspective. | Liheng Yu, Zhe Zhao, Xucong Wang, Di Wu, Pengkun Wang |
| 2025 | AAAI | Multi-label Self Knowledge Distillation. | Xucong Wang, Pengkun Wang, Shurui Zhang, Miao Fang, Yang Wang |
| 2025 | AAAI | STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis. | Zhe Zhao, Pengkun Wang, Haibin Wen, Shuang Wang, Liheng Yu, Yang Wang |
| 2025 | ICASSP | Spatiotemporal Causal Decoupling Model for Air Quality Forecasting. | Jiaming Ma, Guanjun Wang, Sheng Huang, Kuo Yang, Binwu Wang, Pengkun Wang, Yang Wang |
| 2025 | ICASSP | Embedding Enhanced MLP Enables Simple and Extensible Spatiotemporal Forecasting. | Ziyan Wang, Yudong Zhang, Pengkun Wang, Xu Wang, Yang Wang |
| 2025 | ICLR | COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation. | Yudong Zhang, Xuan Yu, Xu Wang, Zhaoyang Sun, Chen Zhang, Pengkun Wang, Yang Wang |
| 2025 | ICML | Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data. | Zhe Zhao, Haibin Wen, Pengkun Wang, Shuang Wang, Zhenkun Wang, Qingfu Zhang, Yang Wang |
| 2025 | ICML | Robust Spatio-Temporal Centralized Interaction for OOD Learning. | Jiaming Ma, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Xu Wang, Yang Wang |
| 2025 | IJCAI | Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting. | Jiaming Ma, Zhiqing Cui, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Yang Wang |
| 2025 | IJCNN | Delving into Imbalance in Imbalance: Attribute Rebalancing for Generalizing Long-tailed Learning. | Shuru Zhang, Pengkun Wang, Hao Zheng, Jason Zeng, Michael Heinrich, Ming Wu, Ji Qi |
| 2024 | AAAI | Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective. | Binwu Wang, Pengkun Wang, Yudong Zhang, Xu Wang, Zhengyang Zhou, Lei Bai, Yang Wang |
| 2024 | AAAI | A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks. | Zhe Zhao, Pengkun Wang, Haibin Wen, Yudong Zhang, Zhengyang Zhou, Yang Wang |
| 2024 | CIKM | XRDMamba: Large-scale Crystal Material Space Group Identification with Selective State Space Model. | Liheng Yu, Pengkun Wang, Zhe Zhao, Zhongchao Yi, Sun Nan, Di Wu, Yang Wang |
| 2024 | ICASSP | Gradient Reactivation Enhanced Causal Attention for Out-Of-Distribution Generalizable Graph Classification. | Xu Wang, Pengfei Gu, Yudong Zhang, Binwu Wang, Pengkun Wang, Yang Wang |
| 2024 | ICASSP | Graph Networks Stand Strong: Enhancing Robustness via Stability Constraints. | Zhe Zhao, Pengkun Wang, Haibin Wen, Yudong Zhang, Binwu Wang, Yang Wang |
| 2024 | ICLR | Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning. | Binwu Wang, Pengkun Wang, Wei Xu, Xu Wang, Yudong Zhang, Kun Wang, Yang Wang |
| 2024 | ICML | Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning. | Zhe Zhao, Pengkun Wang, Haibin Wen, Wei Xu, Song Lai, Qingfu Zhang, Yang Wang |
| 2024 | IJCAI | Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity. | Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Wei Xu, Yang Wang |
| 2024 | KDD | STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts. | Binwu Wang, Jiaming Ma, Pengkun Wang, Xu Wang, Yudong Zhang, Zhengyang Zhou, Yang Wang |
| 2024 | WWW | When Imbalance Meets Imbalance: Structure-driven Learning for Imbalanced Graph Classification. | Wei Xu, Pengkun Wang, Zhe Zhao, Binwu Wang, Xu Wang, Yang Wang |
| 2023 | DASFAA | Long-Tailed Time Series Classification via Feature Space Rebalancing. | Pengkun Wang, Xu Wang, Binwu Wang, Yudong Zhang, Lei Bai, Yang Wang |
| 2023 | DASFAA | A Knowledge-Driven Memory System for Traffic Flow Prediction. | Binwu Wang, Yudong Zhang, Pengkun Wang, Xu Wang, Lei Bai, Yang Wang |
| 2023 | ICASSP | Pondering About Task Spatial Misalignment: Classification-Localization Equilibrated Object Detection. | Yudong Zhang, Wei Lu, Xu Wang, Pengkun Wang, Yang Wang |
| 2023 | ICLR | Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective. | Kun Wang, Yuxuan Liang, Pengkun Wang, Xu Wang, Pengfei Gu, Junfeng Fang, Yang Wang |
| 2023 | KDD | Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction. | Binwu Wang, Yudong Zhang, Xu Wang, Pengkun Wang, Zhengyang Zhou, Lei Bai, Yang Wang |
| 2023 | KDD | An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time Series. | Xu Wang, Hongbo Zhang, Pengkun Wang, Yudong Zhang, Binwu Wang, Zhengyang Zhou, Yang Wang |
| 2023 | KDD | EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation. | Kuo Yang, Zhengyang Zhou, Wei Sun, Pengkun Wang, Xu Wang, Yang Wang |
| 2023 | WSDM | A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework. | Xu Wang, Lianliang Chen, Hongbo Zhang, Pengkun Wang, Zhengyang Zhou, Yang Wang |
| 2022 | ICDM | Countering Modal Redundancy and Heterogeneity: A Self-Correcting Multimodal Fusion. | Pengkun Wang, Xu Wang, Binwu Wang, Yudong Zhang, Lei Bai, Yang Wang |