HomeFacultyYang Liu
刘阳
Yang Liu
副研究员
liuy856@mail.sysu.edu.cn

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,以第一作者出版专著《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),销量超过5000册,并入选中山大学本科教材系列。提出视觉-语言因果推理开源框架CausalVLR(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)

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][中山大学本科教材]

(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][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]

(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) Yongsen, 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]

(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] 

Yang Liu
Yang Liu
副研究员
liuy856@mail.sysu.edu.cn

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,以第一作者出版专著《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),销量超过5000册,并入选中山大学本科教材系列。提出视觉-语言因果推理开源框架CausalVLR(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)

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][中山大学本科教材]

(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][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]

(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) Yongsen, 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]

(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]