publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. ICLR
    DyCAST: Learning Dynamic Causal Structure from Time Series
    Yue Cheng, Bochen Lyu, Weiwei Xing, and Zhanxing Zhu
    In The Thirteenth International Conference on Learning Representations (ICLR), 2025
  2. NeurIPS
    Jacobian-Based Interpretation of Nonlinear Neural Encoding Model
    Xiaohui Gao*, Haoran Yang*, Yue Cheng*, Mengfei Zuo, Yiheng Liu, Peiyang Li, and Xintao Hu
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
  3. AAAI
    LCGC: Learning from Consistency Gradient Conflicting for Class-Imbalanced Semi-Supervised Debiasing
    Weiwei Xing, Yue Cheng, Hongzhu Yi, Xiaohui Gao, Xiang Wei, Xiaoyu Guo, Yumin Zhang, and Xinyu Pang
    Apr 2025
    DOI
  4. AAAI
    LAGD: Local Topological-Alignment and Global Semantic-Deconstruction for Incremental 3D Semantic Segmentation
    Yumin Zhang, Haoran Duan, Rui Sun, Yue Cheng, Tejal Shah, Rajiv Ranjan, and Bo Wei
    Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), Apr 2025
    DOI

2023

  1. TFS
    NFIG-X: Nonlinear Fuzzy Information Granule Series for Long-Term Traffic Flow Time-Series Forecasting
    Yue Cheng, Weiwei Xing, Witold Pedrycz, Sidong Xian, and Weibin Liu
    IEEE Transactions on Fuzzy Systems (TFS), Apr 2023
    DOI