教师简介

刘阳，中山大学计算机学院，副教授，硕士生导师。主要研究方向为智能体与具身智能、鲁棒可信多模态表征学习。已累计发表论文40余篇，包括TPAMI，TIP，TMECH，TKDE，CVPR，ICCV，ACM MM，IJCAI 等，2篇论文入选ESI高被引和热点论文，2篇论文进入期刊影响因子贡献度前十。出版专著《多模态大模型：新一代人工智能技术范式》，入选中山大学本科教材系列，并获得2024电子工业出版社年度优秀作者。主持多模态因果推理开源框架CausalVLR和具身智能资源仓库。承担了国家自然科学基金重点、青年等省部级项目十余项，获得2023中国软件大会机器人大模型与具身智能挑战赛优胜奖以及2023广东省第三届计算机科学青年学术秀一等奖。

研究领域

多模态认知推理，因果推理，具身智能

获奖及荣誉

广东省第三届计算机科学青年学术秀一等奖，2023
中国软件大会机器人大模型与具身智能挑战赛三等奖，2023
博士生国家奖学金，2018
全国英语竞赛三等奖，2013
全国数学建模竞赛二等奖，2012

教育背景

西安电子科技大学，通信与信息系统，博士，2019.6（推荐免试，硕博连读）

长安大学，通信工程，学士，2014.7

工作经历

副研究员，中山大学，2021.10-至今

博士后，中山大学，2019.8-2021.10

主要学术兼职

Reviewer

• IEEE Transactions on Pattern Analysis and Machine Intelligence
• IEEE Transactions on Image Processing
• IEEE Transactions on Neural Networks and Learning Systems
• IEEE Transactions on Cybernetics
• IEEE Transactions on Multimedia
• IEEE Transactions on Circuits and Systems for Video Technology
• IEEE Transactions on Human-Machine Systems
• IEEE Signal Processing Letters
• IEEE Robotics and Automation Letters
• IET Computer Vision
• Pattern Recognition
• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• IEEE/CVF International Conference on Computer Vision (ICCV)
• European Conference on Computer Vision (ECCV)
• ACM Multimedia (ACM MM)
• AAAI Conference on Artificial Intelligence (AAAI)
• ACM international joint conference on pervasive and ubiquitous computing (UbiComp)

主持科研项目

1.  国家自然科学基金重点项目（单位负责人），2025-2029

2.  国家自然科学基金青年项目，2021-2023

3.  广东省自然科学基金面上项目， 2023-2025

4.  广州市科技计划项目，2023-2025

5.  广东省自然科学基金面上项目，2021-2023

6.  博士后自然科学基金面上项目，2020-2022

7.  中央高校基本科研业务费项目， 2020-2022

代表性论著

[1] 刘阳, 林倞；《多模态大模型：新一代人工智能技术范式》，电子工业出版社，2024.  

[2] Yang Liu, Guanbin Li, Liang Lin; Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023.  [CCF A][ESI高被引&热点]

[3] Yang Liu, Keze Wang, Lingbo Liu, Haoyuan Lan, Liang Lin; TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning, IEEE Transactions on Image Processing (T-IP), 2022.  [CCF A] [ESI高被引&热点]

[4] Yang Liu, Keze Wang, Guanbin Li, Liang Lin; Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition, IEEE Transactions on Image Processing (T-IP), 2021.  [CCF A]

[5] Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang, Chao Yao, Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition, IEEE Transactions on Image Processing (T-IP), 2020.  [CCF A]

[6] Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang; Hierarchically Learned View-Invariant Representations for Cross View Action Recognition, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2019.  [中科院一区][CCF B]

[7] Hong Yan, Yang Liu*, Yushen Wei, Zhen Li, Guanbin Li, Liang Lin; SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training, IEEE/CVF International Conference on Computer Vision (ICCV), 2023.  [CCF A]

[8] Yushen Wei*, Yang Liu*, Hong Yan, Guanbin Li, Liang Lin; Visual Causal Scene Refinement for Video Question Answering; ACM International Conference on Multimedia (ACM MM), 2023.   [CCF A] [Oral] 

[9] Junfan Lin, Yuying Zhu, Lingbo Liu, Yang Liu*; Guanbin Li, Liang Lin; DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback, International Joint Conference on Artificial Intelligence (IJCAI), 2023.  [CCF A]

[10] Yuying Zhu, Yang Zhang, Lingbo Liu, Yang Liu*, Guanbin Li, Mingzhi Mao, Liang Lin; Hybrid-Order Representation Learning for Electricity Theft Detection, IEEE Transactions on Industrial Informatics (T-II), 2023.  [中科院一区]

[11] Kuo Wang, Lingbo Liu, Yang Liu*, Guanbin Li, Liang Lin; Urban Regional Function Guided Traffic Flow Prediction, Information Sciences (INS), 2023.  [中科院一区][CCF B]

[12] Yang Liu, Yushen Wei, Hong Yan, Guanbin Li, Liang Lin; Causal Reasoning Meets Visual Representation Learning: A Prospective Study, Machine Intelligence Research (MIR), 2022.  [JCR Q1] JIF贡献度第七

[13] Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang, Chao Yao; Global Temporal Representation based CNNs for Infrared Action Recognition, IEEE Signal Processing Letters (SPL), 2018. [中科院二区]

[14] Yongsen Zheng, Guohua Wang, Yang Liu, Liang Lin;Diversity Matters: User-Centric Multi-Interest Learning for Conversational Movie Recommendation, ACM International Conference on Multimedia (ACM MM), 2024. [CCF A]

[15] Jie Ma, Chuan Wang, Yang Liu, Liang Lin, Guanbin Li; Enhanced soft label for semi-supervised semantic segmentation, IEEE/CVF International Conference on Computer Vision (ICCV), 2023.  [CCF A]

[16] Xiaoqian Xu, Pengxu Wei, Weikai Chen, Yang Liu, Mingzhi Mao, Liang Lin, Guanbin Li; Dual adversarial adaptation for cross-device real-world image super-resolution; IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [CCF A] [Oral]