温良剑，现任西南财经大学计算机与人工智能学院副教授，硕士生导师。2021年7月毕业于电子科技大学，获得工学博士学位。毕业后在华为诺亚方舟实验室担任研究员，积累了丰富的管理和工程经验，并与企业界保持广泛联系。

主要研究方向涵盖大模型、AI Agent、多模态、自监督学习和AI量化等领域。在国际顶级期刊和学术会议上发表学术论文三十余篇，涉及 TPAMI、NeurIPS、ICLR 和 ICCAD 等。

代表性学术论文 · *共同作者，#通讯作者

[1] Qun Dai（硕士生）, Liangjian Wen#, Jiang Duan, Yong Dai, Dongkai Wang, Maolin Wang, Mingjie Wang, Jianzhuang Liu, HE YAN, zhao kang. HRIL: Isolating Multimodal Synergy via Higher-Order Dependence. NeurIPS 2026. （CCF A类会议）

[2] Xinyu Chen（本科生）, Liangjian Wen#, Jiang Duan, Dongkai Wang, Yong Dai, Jiayu Bai, Jianzhuang Liu, Zhen Tian, Guoping Qiu, zhao kang. MSCR: Jointly Balancing Modality Utilization and Discovering Synergistic Information. NeurIPS 2026. （CCF A类会议）

[3] Junbo Qi, Yi Zhang, Hanchu Ni, Che Liu, Zhimin Yao, Ruilin Yang, Xiancong Ren, Liangjian Wen, Wei Ge, Yuya Ieiri, Osamu Yoshie, Yong Dai, Xiaozhu Ju. E-ViC: Reasoning Beyond Text via Embodied Visual Chain for Spatial Intelligence. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics（ACL 2026）, pp. 40283–40303, 2026. （CCF A类会议）

[4] Jun Wang, Hao Ruan, Liangjian Wen, Yong Dai, Mingjie Wang. GazeCLIP: Enhancing Gaze Estimation through Text-Guided Multimodal Learning. Neurocomputing, Article 133584, 2026. （SCI二区，西财A2类）

[5] Ao Hu（硕士生）, Liangjian Wen#, Mingyi Zhang, Jun Wang, Yong Dai, Dongkai Wang, Jiang Duan. MRDNet: Multivariable Relational Decomposition Network for Multivariate Time Series Forecasting. Knowledge-Based Systems, Article 115554, 2026. （SCI一区，西财A2类）

[6] Yuhan Guo, * Cong Guo*（硕士生），Aiwen Sun, Hongliang He, Xinyu Yang, Yue Lu, Yingji Zhang, Xuntao Guo, Dong Zhang, Jianzhuang Liu, Jiang Duan, Yijia Xiao, Liangjian Wen#, Haiming Xu, Yong Dai. Web-CogReasoner: Towards Multimodal Knowledge-Induced Cognitive Reasoning for Web Agents. International Conference on Learning Representations（ICLR）, 2026.

[7] Ao Hu（硕士生）, Liangjian Wen, Jiang Duan, Yong Dai, He Yan, Dongkai Wang, Jun Wang, Yukun Zhang, Ruoxi Jiang, Zenglin Xu. PMDformer: Patch-Mean Decoupling Information Transformer for Long-Term Forecasting. International Conference on Learning Representations（ICLR）, 2026. （CCF A类会议）

[8] Ao Hu（硕士生）, Liangjian Wen#, Jiang Duan, Yong Dai, Dongkai Wang, Shudong Huang, Jun Wang, Zenglin Xu. FDNet: High-Frequency Disentanglement Network with Information-Theoretic Guidance for Multivariate Time Series Forecasting. Pattern Recognition, 173: 112810, 2026.（SCI一区，西财A1类）

[9] Ao Hu（硕士生）, Liangjian Wen#, Yong Dai, Shiyi Qi, Jun Wang, Zhi Chen, Xun Zhou, Dongkai Wang, Zenglin Xu, Jiang Duan. TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting. Neural Networks, 196: 108312, 2026.（SCI二区，西财A1类）

[10] Zhaochen Guo, Zhixiang Shen, Xuanting Xie, Liangjian Wen, Zhao Kang. Disentangling Homophily and Heterophily in Multimodal Graph Clustering. Proceedings of the 33rd ACM International Conference on Multimedia（ACM MM）, pp. 2044–2053, 2025. （CCF A类会议）

[11] Liangjian Wen*, Qun Dai*（本科生）, Jianzhuang Liu, Jiangtao Zheng, Yong Dai, Dongkai Wang#, Zhao Kang, Jun Wang, Zenglin Xu, Jiang Duan#. InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions. NeurIPS, 2025.（Spotlight，CCF A类会议）

[12] Dongkai Wang, Jiang Duan, Liangjian Wen, Shiyu Xuan, Hao Chen, Shiliang Zhang. Generalizable Object Keypoint Localization from Generative Priors. IEEE/CVF Conference on Computer Vision and Pattern Recognition（CVPR）, pp. 20265–20274, 2025.

[13] Liangjian Wen, Xiasi Wang, Jianzhuang Liu, Zenglin Xu. MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneck. IEEE Transactions on Pattern Analysis and Machine Intelligence（TPAMI）, 46(9): 6097–6108, 2024.（CCF A类期刊，西财A+期刊）

[14] Liangjian Wen, Quan Hu, Cong Guo, Ao Hu, Mingyi Zhang. Cross-Scale Attention for Long-Term Time Series Forecasting. IEEE Signal Processing Letters, 31: 2675–2679, 2024.

[15] Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu. Generative Oversampling for Imbalanced Data via Majority-Guided VAE. International Conference on Artificial Intelligence and Statistics（AISTATS）, pp. 3315–3330, 2023.

[16] Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Hongguang Fu, Zenglin Xu. AFINet: Attentive Feature Integration Networks for Image Classification. Neural Networks, 155: 360–368, 2022.

[17] Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian. Self-Supervision Can Be a Good Few-Shot Learner. European Conference on Computer Vision（ECCV）, pp. 740–758, 2022.（计算机视觉领域顶级会议）

[18] Ruiyi Fang*, Liangjian Wen*, Zhao Kang#, Jianzhuang Liu. Structure-Preserving Graph Representation Learning. IEEE International Conference on Data Mining（ICDM）, pp. 927–932, 2022.（CCF B类会议，西财B类）

[19] Liangjian Wen, Yi Zhu, Lei Ye, Guojin Chen, Bei Yu, Jianzhuang Liu, Chunjing Xu. LayouTransformer: Generating Layout Patterns with Transformer via Sequential Pattern Modeling. IEEE/ACM International Conference on Computer-Aided Design（ICCAD）, 2022.（EDA领域顶级会议）

[20] Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian. Rectifying the Shortcut Learning of Background for Few-Shot Learning. NeurIPS, 34: 13073–13085, 2021.（CCF A类会议，西财A1类）

[21] Changshu Liu, Liangjian Wen, Zhao Kang, Guangchun Luo, Ling Tian. Self-Supervised Consensus Representation Learning for Attributed Graph. ACM Multimedia, pp. 2654–2662, 2021.（CCF A类会议，西财A1类）

[22] Liangjian Wen, Haoli Bai, Lirong He, Yiji Zhou, Mingyuan Zhou, Zenglin Xu. Gradient Estimation of Information Measures in Deep Learning. Knowledge-Based Systems, 224: 107046, 2021.（SCI一区，西财A类）

[23] Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu. Mutual Information Gradient Estimation for Representation Learning. International Conference on Learning Representations（ICLR）, 2020.（人工智能领域顶级会议）

[24] Xu Luo, Yuxuan Chen, Liangjian Wen#, Lili Pan, Zenglin Xu. Boosting Few-Shot Classification with View-Learnable Contrastive Learning. IEEE International Conference on Multimedia and Expo（ICME）, pp. 1–6, 2021.（CCF B类会议，西财B类）

[25] Liangjian Wen, Xuanyang Zhang, Haoli Bai, Zenglin Xu. Structured Pruning of Recurrent Neural Networks through Neuron Selection. Neural Networks, 123: 134–141, 2020.（西财A类）

[26] Zhao Kang, Liangjian Wen, Wenyu Chen, Zenglin Xu. Low-Rank Kernel Learning for Graph-Based Clustering. Knowledge-Based Systems, 163: 510–517, 2019.

[27] Liangjian Wen, Shenghu Zhang, Yongming Li, Ruoxu Wang, Hao Guo, Cong Zhang, Huan Jia, Tiancai Jiang, Chunlong Li, Yuan He. Study of Medium Beta Elliptical Cavities for CADS. Chinese Physics C, 40(2): 027004, 2016.

预印本

[P1] Liangjian Wen, Linjie Li, Jiang Duan, Yong Dai, Jianzhuang Liu, Zhao Kang. Dependency, Compression, and Synergy: A Unified Information-Theoretic View of Multimodal Learning. arXiv:2609.14421, 2026.

[P2] Haolu Liu, Xiyue Wang, Xuanting Xie, Liangjian Wen, Zhao Kang. Rethinking Incompleteness: Formalizing Protocol Divergence and Train-Once Learning for Robust IMVC. arXiv:2606.04857, 2026.

[P3] Yuxuan Ye, Jun Han, Ao Hu, Juncheng Bu, Yiyi Chen, Liangjian Wen, Danilo Mandic, Danny Dongning Sun, Xu Yinghui, Zenglin Xu. The Alpha Illusion: Reported Alpha from LLM Trading Agents Should Not Be Treated as Deployment Evidence. arXiv:2605.16895, 2026.

[P4] Faqiang Qian, Kang An, Weikun Zhang, Ziliang Wang, Xuhui Zheng, Liangjian Wen, Yong Dai, Mengya Gao, Yichao Wu. AAPA: Adversarially Anchored Preference Alignment for Post-Training of Large Language Models. arXiv:2509.25148, 2025.

[P5] Shiyi Qi, Liangjian Wen, Yiduo Li, Yuanhang Yang, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu. Enhancing Multivariate Time Series Forecasting with Mutual Information-Driven Cross-Variable and Temporal Modeling. arXiv:2403.00869, 2024.

[P6] Shiyi Qi, Zenglin Xu, Yiduo Li, Liangjian Wen, Qingsong Wen, Qifan Wang, Yuan Qi. PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the Perspective of Partial Differential Equations. arXiv:2402.16913, 2024.

硕士生

本科生