教师简介
刘阳，中山大学计算机学院，副研究员，中山大学人机物智能融合实验室（HCP-Lab）骨干成员。主要研究方向为多模态认知理解、因果推理和具身智能。截至2024年3月，在 IEEE T-PAMI、T-IP、CVPR、ICCV、ACM MM、IJCAI等期刊和会议上发表论文30余篇，2篇论文入选ESI高被引和热点论文，出版专著《多模态大模型：新一代人工智能技术范式》（刘阳，林倞，电子工业出版社，2024，https://hcplab-sysu.github.io/Book-of-MLM）。提出的视觉-语言因果推理开源框架CausalVLR受到国内外广泛关注（https://github.com/HCPLab-SYSU/CausalVLR）。主持多项国家级、省部级科研项目，作为课题骨干参与国家人工智能重大专项。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，2023广东省第三届计算机科学青年学术秀一等奖。现为中国图象图形学学会视觉大数据专委会委员。
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
全国数学建模大赛二等奖，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)
科研项目
1. 国家自然科学基金青年项目，2021-2024
2. 广东省自然科学基金面上项目， 2023-2026
3. 广州市科技计划项目，2023-2025
4. 广东省自然科学基金面上项目，2021-2024
5. 博士后自然科学基金面上项目，2020-2022
6. 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. [专著][教材]
(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]
(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]
(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]
(7) 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]
(8) Yang Liu, Yushen Wei, Hong Yan, Guanbin Li, Liang Lin; Causal Reasoning Meets Visual Representation Learning: A Prospective Study, Machine Intelligence Research (MIR), 2022. [综述] 人工智能领域高下载文章
(9) 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]
(10) 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]
(11) 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]
(12) 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), 2022. [中科院一区]
(13) 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]
(14) 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]
(15) 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]
教师简介
刘阳，中山大学计算机学院，副研究员，中山大学人机物智能融合实验室（HCP-Lab）骨干成员。主要研究方向为多模态认知理解、因果推理和具身智能。截至2024年3月，在 IEEE T-PAMI、T-IP、CVPR、ICCV、ACM MM、IJCAI等期刊和会议上发表论文30余篇，2篇论文入选ESI高被引和热点论文，出版专著《多模态大模型：新一代人工智能技术范式》（刘阳，林倞，电子工业出版社，2024，https://hcplab-sysu.github.io/Book-of-MLM）。提出的视觉-语言因果推理开源框架CausalVLR受到国内外广泛关注（https://github.com/HCPLab-SYSU/CausalVLR）。主持多项国家级、省部级科研项目，作为课题骨干参与国家人工智能重大专项。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，2023广东省第三届计算机科学青年学术秀一等奖。现为中国图象图形学学会视觉大数据专委会委员。
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
全国数学建模大赛二等奖，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)
科研项目
1. 国家自然科学基金青年项目，2021-2024
2. 广东省自然科学基金面上项目， 2023-2026
3. 广州市科技计划项目，2023-2025
4. 广东省自然科学基金面上项目，2021-2024
5. 博士后自然科学基金面上项目，2020-2022
6. 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. [专著][教材]
(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]
(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]
(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]
(7) 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]
(8) Yang Liu, Yushen Wei, Hong Yan, Guanbin Li, Liang Lin; Causal Reasoning Meets Visual Representation Learning: A Prospective Study, Machine Intelligence Research (MIR), 2022. [综述] 人工智能领域高下载文章
(9) 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]
(10) 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]
(11) 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]
(12) 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), 2022. [中科院一区]
(13) 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]
(14) 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]
(15) 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]
- hcp@sysu.edu.cn
- 广州市广州大学城外环东路132号
- Links
- Git-Lab