Liangjian Wen

Associate Professor, Southwestern University of Finance and Economics

prof_pic.jpg

Chengdu, China

wlj6816@gmail.com

I am an Associate Professor and Master’s supervisor at the School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics (SWUFE). I received my Ph.D. in Engineering from the University of Electronic Science and Technology of China (UESTC) in 2021. Before joining SWUFE, I was a researcher at Huawei Noah’s Ark Lab (2021–2023), where I gained extensive experience in engineering and research management, and I continue to maintain close ties with industry.

My research interests include:

  • Large Language Models
  • AI Agents
  • Multimodal Learning
  • Representation Learning & Self-Supervised Learning
  • AI for Quantitative Finance

I have published over 30 papers in top-tier journals and conferences, including TPAMI, NeurIPS, ICLR, ACL, CVPR, ECCV, and ICCAD.

news

Sep 20, 2026 Two papers accepted to NeurIPS 2026: HRIL (isolating multimodal synergy via higher-order dependence) and MSCR (balancing modality utilization and discovering synergistic information). :tada:
Jun 10, 2026 Congratulations to our student team for winning the Third Prize (National) at the 21st Citi Cup Financial Innovation Application Competition.
May 15, 2026 E-ViC: Reasoning Beyond Text via Embodied Visual Chain for Spatial Intelligence accepted to ACL 2026.
Jan 26, 2026 Two papers accepted to ICLR 2026: Web-CogReasoner (knowledge-induced cognitive reasoning for web agents) and PMDformer (long-term time series forecasting).
Jan 01, 2026 Promoted to Associate Professor at the School of Computing and Artificial Intelligence, SWUFE.
Sep 18, 2025 InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions accepted to NeurIPS 2025 as a Spotlight. :sparkles:
Feb 27, 2025 Generalizable Object Keypoint Localization from Generative Priors accepted to CVPR 2025.
Mar 20, 2024 MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneck published in IEEE TPAMI.

selected publications

  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. 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
  4. 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
  5. 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
  6. 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
  7. 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