教师简介
刘阳,中山大学计算机学院,副研究员,IEEE Member,CSIG视觉大数据专委会委员。近年来以第一和通讯作者在 IEEE TPAMI、TIP、ICCV、ACM MM、IJCAI 等CCF-A类学术期刊和会议上发表论文20 余篇,1篇论文入选ESI高被引和热点论文,著有教材《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),提出视觉-语言因果推理开源框架CausalVLR。主持国家自然科学基金和3项省部级科研项目,作为课题骨干参与科技部“科技创新2030”重大项目。获得2023中国软件大会机器人大模型与具身智能挑战赛三等奖(指导老师),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
优秀博士生,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(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
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
(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. (JCR Q1, 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. (JCR Q1, CCF-A)ESI高被引&热点论文
(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. (JCR Q1, 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. (JCR Q1, 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. (JCR Q1, CCF-B)
(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. (JCR Q2)
(8) Yang Liu, Zhaoyang Lu, Jing Li, Chao Yao, Yanzi Deng; Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition, Complexity, 2018.
(9) Yang Liu, Yushen Wei, Hong Yan, Guanbin Li, Liang Lin; Causal Reasoning Meets Visual Representation Learning: A Prospective Study, Machine Intelligence Research (MIR), 2022.
(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), 2022. (JCR Q1)
(11) 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)
(12) 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)
(13) 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)
(14) Kuo Wang, Lingbo Liu, Yang Liu*, Guanbin Li, Liang Lin; Urban Regional Function Guided Traffic Flow Prediction, Information Sciences (INS), 2023. (JCR Q1, CCF-B)
(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)
教师简介
刘阳,中山大学计算机学院,副研究员,IEEE Member,CSIG视觉大数据专委会委员。近年来以第一和通讯作者在 IEEE TPAMI、TIP、ICCV、ACM MM、IJCAI 等CCF-A类学术期刊和会议上发表论文20 余篇,1篇论文入选ESI高被引和热点论文,著有教材《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),提出视觉-语言因果推理开源框架CausalVLR。主持国家自然科学基金和3项省部级科研项目,作为课题骨干参与科技部“科技创新2030”重大项目。获得2023中国软件大会机器人大模型与具身智能挑战赛三等奖(指导老师),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
优秀博士生,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(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
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
(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. (JCR Q1, 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. (JCR Q1, CCF-A)ESI高被引&热点论文
(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. (JCR Q1, 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. (JCR Q1, 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. (JCR Q1, CCF-B)
(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. (JCR Q2)
(8) Yang Liu, Zhaoyang Lu, Jing Li, Chao Yao, Yanzi Deng; Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition, Complexity, 2018.
(9) Yang Liu, Yushen Wei, Hong Yan, Guanbin Li, Liang Lin; Causal Reasoning Meets Visual Representation Learning: A Prospective Study, Machine Intelligence Research (MIR), 2022.
(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), 2022. (JCR Q1)
(11) 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)
(12) 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)
(13) 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)
(14) Kuo Wang, Lingbo Liu, Yang Liu*, Guanbin Li, Liang Lin; Urban Regional Function Guided Traffic Flow Prediction, Information Sciences (INS), 2023. (JCR Q1, CCF-B)
(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)