publications

publications in reverse chronological order

* Co-first authors (equal contribution)    † Corresponding author

2026

  1. NeurIPS
    HRIL: Isolating Multimodal Synergy via Higher-Order Dependence
    Qun Dai, Liangjian Wen†, Jiang Duan, Yong Dai, Dongkai Wang, Maolin Wang, Mingjie Wang, Jianzhuang Liu, He Yan, and Zhao Kang
    In Advances in Neural Information Processing Systems (NeurIPS), 2026
  2. NeurIPS
    MSCR: Jointly Balancing Modality Utilization and Discovering Synergistic Information
    Xinyu Chen, Liangjian Wen†, Jiang Duan, Dongkai Wang, Yong Dai, Jiayu Bai, Jianzhuang Liu, Zhen Tian, Guoping Qiu, and Zhao Kang
    In Advances in Neural Information Processing Systems (NeurIPS), 2026
  3. ACL
    E-ViC: Reasoning Beyond Text via Embodied Visual Chain for Spatial Intelligence
    Junbo Qi, Yi Zhang, Hanchu Ni, Che Liu, Zhimin Yao, Ruilin Yang, Xiancong Ren, Liangjian Wen, Wei Ge, Yuya Ieiri, Osamu Yoshie, Yong Dai, and Xiaozhu Ju
    In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026
  4. Neurocomputing
    GazeCLIP: Enhancing Gaze Estimation through Text-Guided Multimodal Learning
    Jun Wang, Hao Ruan, Liangjian Wen, Yong Dai, and Mingjie Wang
    Neurocomputing, 2026
  5. KBS
    MRDNet: Multivariable Relational Decomposition Network for Multivariate Time Series Forecasting
    Ao Hu, Liangjian Wen†, Mingyi Zhang, Jun Wang, Yong Dai, Dongkai Wang, and Jiang Duan
    Knowledge-Based Systems, 2026
  6. ICLR
    Web-CogReasoner: Towards Multimodal Knowledge-Induced Cognitive Reasoning for Web Agents
    Yuhan Guo*, Cong Guo*, Aiwen Sun, Hongliang He, Xinyu Yang, Yue Lu, Yingji Zhang, Xuntao Guo, Dong Zhang, Jianzhuang Liu, Jiang Duan, Yijia Xiao, Liangjian Wen†, Haiming Xu, and Yong Dai
    In International Conference on Learning Representations (ICLR), 2026
  7. ICLR
    PMDformer: Patch-Mean Decoupling Information Transformer for Long-Term Forecasting
    Ao Hu, Liangjian Wen†, Jiang Duan, Yong Dai, He Yan, Dongkai Wang, Jun Wang, Yukun Zhang, Ruoxi Jiang, and Zenglin Xu
    In International Conference on Learning Representations (ICLR), 2026
  8. PR
    FDNet: High-Frequency Disentanglement Network with Information-Theoretic Guidance for Multivariate Time Series Forecasting
    Ao Hu, Liangjian Wen†, Jiang Duan, Yong Dai, Dongkai Wang, Shudong Huang, Jun Wang, and Zenglin Xu
    Pattern Recognition, 2026
  9. NN
    TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting
    Ao Hu, Liangjian Wen†, Yong Dai, Shiyi Qi, Jun Wang, Zhi Chen, Xun Zhou, Dongkai Wang, Zenglin Xu, and Jiang Duan
    Neural Networks, 2026
  10. arXiv
    Dependency, Compression, and Synergy: A Unified Information-Theoretic View of Multimodal Learning
    Liangjian Wen, Linjie Li, Jiang Duan, Yong Dai, Jianzhuang Liu, and Zhao Kang
    2026
    arXiv preprint arXiv:2609.14421
    arXiv
  11. arXiv
    Rethinking Incompleteness: Formalizing Protocol Divergence and Train-Once Learning for Robust IMVC
    Haolu Liu, Xiyue Wang, Xuanting Xie, Liangjian Wen, and Zhao Kang
    2026
    arXiv preprint arXiv:2606.04857
    arXiv
  12. arXiv
    The Alpha Illusion: Reported Alpha from LLM Trading Agents Should Not Be Treated as Deployment Evidence
    Yuxuan Ye, Jun Han, Ao Hu, Juncheng Bu, Yiyi Chen, Liangjian Wen, Danilo Mandic, Danny Dongning Sun, Yinghui Xu, and Zenglin Xu
    2026
    arXiv preprint arXiv:2605.16895
    arXiv

2025

  1. ACM MM
    Disentangling Homophily and Heterophily in Multimodal Graph Clustering
    Zhaochen Guo, Zhixiang Shen, Xuanting Xie, Liangjian Wen, and Zhao Kang
    In Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM), 2025
  2. NeurIPS
    InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions
    Liangjian Wen*, Qun Dai*, Jianzhuang Liu, Jiangtao Zheng, Yong Dai, Dongkai Wang†, Zhao Kang, Jun Wang, Zenglin Xu, and Jiang Duan†
    In Advances in Neural Information Processing Systems (NeurIPS), 2025
    Spotlight
  3. CVPR
    Generalizable Object Keypoint Localization from Generative Priors
    Dongkai Wang, Jiang Duan, Liangjian Wen, Shiyu Xuan, Hao Chen, and Shiliang Zhang
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
  4. arXiv
    AAPA: Adversarially Anchored Preference Alignment for Post-Training of Large Language Models
    Faqiang Qian, Kang An, Weikun Zhang, Ziliang Wang, Xuhui Zheng, Liangjian Wen, Yong Dai, Mengya Gao, and Yichao Wu
    2025
    arXiv preprint arXiv:2509.25148
    arXiv

2024

  1. TPAMI
    MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneck
    Liangjian Wen, Xiasi Wang, Jianzhuang Liu, and Zenglin Xu
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
  2. SPL
    Cross-Scale Attention for Long-Term Time Series Forecasting
    Liangjian Wen, Quan Hu, Cong Guo, Ao Hu, and Mingyi Zhang
    IEEE Signal Processing Letters, 2024
  3. arXiv
    Enhancing Multivariate Time Series Forecasting with Mutual Information-Driven Cross-Variable and Temporal Modeling
    Shiyi Qi, Liangjian Wen, Yiduo Li, Yuanhang Yang, Zhe Li, Zhongwen Rao, Lujia Pan, and Zenglin Xu
    2024
    arXiv preprint arXiv:2403.00869
    arXiv
  4. arXiv
    PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the Perspective of Partial Differential Equations
    Shiyi Qi, Zenglin Xu, Yiduo Li, Liangjian Wen, Qingsong Wen, Qifan Wang, and Yuan Qi
    2024
    arXiv preprint arXiv:2402.16913
    arXiv

2023

  1. AISTATS
    Generative Oversampling for Imbalanced Data via Majority-Guided VAE
    Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, and Zenglin Xu
    In International Conference on Artificial Intelligence and Statistics (AISTATS), 2023

2022

  1. NN
    AFINet: Attentive Feature Integration Networks for Image Classification
    Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Hongguang Fu, and Zenglin Xu
    Neural Networks, 2022
  2. ECCV
    Self-Supervision Can Be a Good Few-Shot Learner
    Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, and Xinmei Tian
    In European Conference on Computer Vision (ECCV), 2022
  3. ICDM
    Structure-Preserving Graph Representation Learning
    Ruiyi Fang*, Liangjian Wen*, Zhao Kang†, and Jianzhuang Liu
    In IEEE International Conference on Data Mining (ICDM), 2022
  4. ICCAD
    LayouTransformer: Generating Layout Patterns with Transformer via Sequential Pattern Modeling
    Liangjian Wen, Yi Zhu, Lei Ye, Guojin Chen, Bei Yu, Jianzhuang Liu, and Chunjing Xu
    In IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2022

2021

  1. NeurIPS
    Rectifying the Shortcut Learning of Background for Few-Shot Learning
    Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, and Qi Tian
    In Advances in Neural Information Processing Systems (NeurIPS), 2021
  2. ACM MM
    Self-Supervised Consensus Representation Learning for Attributed Graph
    Changshu Liu, Liangjian Wen, Zhao Kang, Guangchun Luo, and Ling Tian
    In Proceedings of the 29th ACM International Conference on Multimedia (ACM MM), 2021
  3. KBS
    Gradient Estimation of Information Measures in Deep Learning
    Liangjian Wen, Haoli Bai, Lirong He, Yiji Zhou, Mingyuan Zhou, and Zenglin Xu
    Knowledge-Based Systems, 2021
  4. ICME
    Boosting Few-Shot Classification with View-Learnable Contrastive Learning
    Xu Luo, Yuxuan Chen, Liangjian Wen†, Lili Pan, and Zenglin Xu
    In IEEE International Conference on Multimedia and Expo (ICME), 2021

2020

  1. ICLR
    Mutual Information Gradient Estimation for Representation Learning
    Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, and Zenglin Xu
    In International Conference on Learning Representations (ICLR), 2020
  2. NN
    Structured Pruning of Recurrent Neural Networks through Neuron Selection
    Liangjian Wen, Xuanyang Zhang, Haoli Bai, and Zenglin Xu
    Neural Networks, 2020

2019

  1. KBS
    Low-Rank Kernel Learning for Graph-Based Clustering
    Zhao Kang, Liangjian Wen, Wenyu Chen, and Zenglin Xu
    Knowledge-Based Systems, 2019

2016

  1. CPC
    Study of Medium Beta Elliptical Cavities for CADS
    Liangjian Wen, Shenghu Zhang, Yongming Li, Ruoxu Wang, Hao Guo, Cong Zhang, Huan Jia, Tiancai Jiang, Chunlong Li, and Yuan He
    Chinese Physics C, 2016