About Me
Hi! I’m Jiawei Liu (刘嘉威), an Associate Professor in the Department of Automation at the University of Science and Technology of China (中国科学技术大学). I work with Prof. Zheng-Jun Zha at the Lab for Multimodal Embodied Intelligence (多模态具身智能实验室). My research focuses on human-centric visual understanding, fake media content analysis, multimodal large language models, and embodied AI. I have published more than 60 papers in leading AI journals and conferences.
I received my B.S. degree from Hefei University of Technology (HFUT) in 2013 and my Ph.D. degree from the University of Science and Technology of China (USTC) in 2019. During my Ph.D., I was a research intern at Microsoft Research Asia (MSRA)
under the supervision of Prof. Tao Mei from October 2016 to January 2017. From September 2025 to August 2026, I was a visiting scholar at the National University of Singapore (NUS)
, under the supervision of Prof. Shuicheng Yan.
I welcome applications from motivated graduate students interested in computer vision, multimedia analysis, and embodied AI. Students with backgrounds in mathematics, machine learning, or programming are encouraged to email me a brief introduction and CV. I also welcome opportunities for academic collaboration. Please contact me at jwliu6@ustc.edu.cn.
🌟 欢迎热爱科研、愿意主动投入的本科生加入课题组,参与科研实习、大创或暑研。研究方向包括以人为中心的视觉理解、多模态大模型和具身智能。数学、物理、计算机等相关专业的同学均可通过邮件联系,并附上个人简历;有意继续深造的同学也欢迎交流。
News
- [2026.09]: 🎉🎉 One paper on tool-augmented scientific reasoning is accepted by NeurIPS 2026.
- [2026.09]: 🎉🎉 One paper on open-vocabulary HOI detection is accepted by NeurIPS 2026.
- [2026.09]: 🎉🎉 One paper on point cloud segmentation is accepted by NeurIPS 2026.
- [2026.09]: 🎉🎉 One paper on thinking with images is accepted by NeurIPS 2026.
- [2026.09]: 🎉🎉 One paper on image forgery detection and localization is accepted by IEEE TIP 2026.
- [2026.08]: 🎉🎉 One paper on open-ended agent RL is accepted by EMNLP Findings 2026.
- [2026.07]: 🎉🎉 One paper on wu dialect vowel recognition is accepted by CICAI 2026.
- [2026.07]: 🎉🎉 One paper on stealthy backdoor is accepted by IEEE TPAMI 2026.
- [2026.06]: 🎉🎉 One paper on agentic tool use is accepted by ECCV 2026.
- [2026.06]: 🎉🎉 One paper on visible-infrared person identification is accepted by IEEE TIFS 2026.
- [2026.06]: 🎓🎓 Congratulations to Jingyi Xie (谢璟毅) on earning his Ph.D. degree!
- [2026.06]: 🎓🎓 Congratulations to Changrong Hu (胡长荣) on earning her Master’s degree!
- [2026.05]: 🎉🎉 One paper on open-ended agents is accepted by ICML 2026.
- [2026.04]: 🎉🎉 One paper on automatic rigging is accepted by ICIC 2026. Oral
- [2026.03]: 🏆🏆 Won the champion of the 2nd multimodal deception detection competition @CVPR 2026.
- [2026.03]: 🏛️🏛️ Promoted to Associate Professor (tenured) at USTC.
- [2026.02]: 🎉🎉 One paper on open-vocabulary HOI detection is accepted by CVPR 2026. Highlight
- [2026.01]: 🎉🎉 One paper on active prompt learning is accepted by ICLR 2026.
- [2026.01]: 🎉🎉 One paper on multimodal fact-checking is accepted by WWW 2026. Oral
- [2025.12]: 🎉🎉 One paper on class incremental learning is accepted by CVM 2026.
- [2025.11]: 🎉🎉 One paper on zero-shot HOI detection is accepted by IJCV 2025.
- [2025.11]: 🎉🎉 One paper on occluded person re-identification is accepted by JICN 2025.
- [2025.10]: 🎉🎉 One paper on active prompt learning is accepted by IJCV 2025.
- [2025.09]: 🎉🎉 One paper on explainable video misinformation detection is accepted by NeurIPS 2025.
- [2025.09]: 🎉🎉 One paper on multimodal knowledge editing is accepted by NeurIPS 2025.
- [2025.09]: 🎉🎉 One paper on fake news detection is accepted by IEEE TKDE 2025.
- [2025.09]: ✈️✈️ Started as a visiting scholar at the National University of Singapore.
- [2025.07]: 🎉🎉 One paper on person re-identification is accepted by ACM MM 2025.
- [2025.06]: 🎓🎓 Congratulations to Wei Wu (吴蔚) on earning her Ph.D. degree!
- [2025.06]: 🎓🎓 Congratulations to Hao Tong (童浩) on earning his Master’s degree!
- [2025.04]: 🎉🎉 One paper on image forgery detection and localization is accepted by IJCAI 2025.
- [2025.02]: 🎉🎉 One paper on test-time adaptation is accepted by CVPR 2025.
- [2025.02]: 🎉🎉 One paper on comprehensive image captioning is accepted by CVPR 2025.
- [2025.01]: 🎉🎉 One paper on person re-identification is accepted by IEEE TIFS 2025.
- [2024.12]: 🎓🎓 Congratulations to Bingyu Hu (胡冰玉) on earning her Ph.D. degree!
- [2024.12]: 🎉🎉 One paper on person re-identification is accepted by CVM 2025.
- [2024.12]: 🎉🎉 One paper on human-object interaction is accepted by AAAI 2025.
- [2024.10]: 🎉🎉 One paper on person re-identification is accepted by ACM TOMM 2024.
- [2024.08]: 🎉🎉 One paper on image forgery localization is accepted by ECCV 2024.
- [2024.06]: 🎓🎓 Congratulations to Wenjun Gan (甘文君) on earning her Master’s degree!
- [2024.04]: 🎉🎉 One paper on person re-identification is accepted by ICME 2024.
Publications
Human-Centric Visual Understanding
IEEE TIFS 2026Frequency-Guided Multi-Perspective Prompt Learning for Visible-Infrared Person Re-identification
Jiawei Liu, Yong Wu, Yufei Zheng, Hao Tong, Guozhi Zhao, Zheng-Jun ZhaCVPR 2026Learning to Diversify and Focus: A Reinforcement Framework for Open-Vocabulary HOI Detection
Yongchao Xu, Jiawei Liu, Junfeng Wang, Sen Tao, Na Jiang, Zheng-Jun ZhaICIC 2026AnySkel: Automatic Rigging for any Skeletal Template
Changrong Hu, Na Jiang, Jiawei LiuIJCV 2025Mamba-Driven Comprehensive Context Learning for Zero-Shot HOI Detection
Jiawei Liu, Yongchao Xu, Sen Tao, Yuexuan Qi, Zheng-Jun ZhaACM MM 2025Dual Uncertainty-Guided Feature Alignment Learning for Text-Based Person Retrieval
Yufei Zheng, Jiawei Liu, Bingyu Hu, Zikun Wei, Yong Wu, Zheng-Jun ZhaJICN 2025Occlusion-Guided Feature Purification Learning via Reinforced Knowledge Distillation for Occluded Person Re-Identification
Yufei Zheng, Yong Wu, Jiawei Liu, Wenjun Wang, Wenjun GanCVM 2025Multi-granularity and Multi-modal Prompt Learning for Person Re-Identification
Hao Tong, Jiawei Liu, Yong Wu, Guozhi Zhao, Fanrui Zhang, Zheng-Jun ZhaAAAI 2025HOIMamba: Efficient Mamba-based Disentangled Progressive Learning for HOI Detection
Yongchao Xu, Jiawei Liu, Sen Tao, Qiang Zhang, Zheng-Jun ZhaIEEE TIFS 2025Advancing Visible-Infrared Person Re-Identification: Synergizing Visual-Textual Reasoning and Cross-Modal Feature Alignment
Yuxuan Qiu, Liyang Wang, Wei Song, Jiawei Liu, Zhiping Shi, Na JiangACM TOMM 2024Noise-Resistance Learning via Multi-Granularity Consistency for Unsupervised Domain Adaptive Person Re-Identification
Yangchun Zhu, Yufei Zheng, Jiawei Liu, Yao Li, Zheng-Jun ZhaICME 2024Joint Visual-Textual Reasoning and Visible-Infrared Modality Alignment for Person Re-Identification
Na Jiang, Yuxuan Qiu, Wei Song, Jiawei Liu, Zhiping Shi, Liyang WangIJCV 2024Exert Diversity and Mitigate Bias: Domain Generalizable Person Re-identification with a Comprehensive Benchmark
Bingyu Hu, Jiawei Liu, Yufei Zheng, Kecheng Zheng, Zheng-Jun ZhaMMM 2024Cross-Modal Semantic Alignment Learning for Text-Based Person Search
Wenjun Gan, Jiawei Liu, Yangchun Zhu, Yong Wu, Guozhi Zhao, Zheng-Jun ZhaIEEE TMM 2023Unleashing Knowledge Potential of Source Hypothesis for Source-Free Domain Adaptation
Bingyu Hu, Jiawei Liu, Kecheng Zheng, Zheng-Jun ZhaPAIN 2023Deep Learning–guided Postoperative Pain Assessment in Children
Jihong Fang, Wei Wu, Jiawei Liu, Sicheng ZhangAAAI 2022Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-identification
Jiawei Liu, Zhipeng Huang, Liang Li, Kecheng Zheng, Zheng-Jun ZhaAAAI 2022Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-identification
Zhipeng Huang, Jiawei Liu, Liang Li, Kecheng Zheng, Zheng-Jun ZhaCVPR 2022Temporal Complementarity-Guided Reinforcement Learning for Image-to-Video Person Re-Identification
Wei Wu, Jiawei Liu, Kecheng Zheng, Qibin Sun, Zheng-Jun ZhaARXIV 2021Calibrated Feature Decomposition for Generalizable Person Re-Identification
Kecheng Zheng, Jiawei Liu, Wei Wu, Liang Li, Zheng-Jun ZhaACM MM 2021Cluster and Scatter: A Multi-grained Active Semi-supervised Learning Framework for Scalable Person Re-identification
Bingyu Hu, Zheng-Jun Zha, Jiawei Liu, Xierong Zhu, Hongtao XieACM MM 2021Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identification
Kecheng Zheng, Cuiling Lan, Wenjun Zeng, Jiawei Liu, Zhizheng Zhang, Zheng-Jun ZhaICME 2021Adversarial Disentanglement and Correlation Network for Rgb-Infrared Person Re-Identification
Bingyu Hu, Jiawei Liu, Zheng-Jun ZhaIJCAI 2021Multi-Scale Spatial-Temporal Integration Convolutional Tube for Human Action Recognition
Haoze Wu, Jiawei Liu, Xierong Zhu, Meng Wang, Zheng-Jun ZhaCVPR 2021Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos
Jiawei Liu, Zheng-Jun Zha, Wei Wu, Kecheng Zheng, Qibin SunACM MM 2020Dual Context-Aware Refinement Network for Person Search
Jiawei Liu, Zheng-Jun Zha, Richang Hong, Meng Wang, Yongdong ZhangACM MM 2020ASTA-Net: Adaptive Spatio-Temporal Attention Network for Person Re-Identification in Videos
Xierong Zhu, Jiawei Liu, Haoze Wu, Meng Wang, Zheng-Jun ZhaACM MM 2020A Structured Graph Attention Network for Vehicle Re-Identification
Yangchun Zhu, Zheng-Jun Zha, Tianzhu Zhang, Jiawei Liu, Jiebo LuoACM MM 2020Hierarchical Gumbel Attention Network for Text-based Person Search
Kecheng Zheng, Wu Liu, Jiawei Liu, Zheng-Jun Zha, Tao MeiARXIV 2020Temporal Attribute-Appearance Learning Network for Video-based Person Re-Identification
Jiawei Liu, Xierong Zhu, Zheng-Jun ZhaIJCAI 2020Co-Saliency Spatio-Temporal Interaction Network for Person Re-Identification in Videos
Jiawei Liu, Zheng-Jun Zha, Xierong Zhu, Na JiangIEEE TMM 2020Adversarial Attribute-Text Embedding for Person Search With Natural Language Query
Zheng-Jun Zha, Jiawei Liu, Di Chen, Feng WuACM MM 2019Deep Adversarial Graph Attention Convolution Network for Text-Based Person Search
Jiawei Liu, Zheng-Jun Zha, Richang Hong, Meng Wang, Yongdong ZhangIJCAI 2019Mutually Reinforced Spatio-Temporal Convolutional Tube for Human Action Recognition
Haoze Wu, Jiawei Liu, Zheng-Jun Zha, Zhenzhong Chen, Xiaoyan SunACM TOMM 2019Dense 3D-Convolutional Neural Network for Person Re-Identification in Videos
Jiawei Liu, Zheng-Jun Zha, Xuejin Chen, Zilei Wang, Yongdong ZhangMMM 2019Adaptive Alignment Network for Person Re-identification
Xierong Zhu, Jiawei Liu, Hongtao Xie, Zheng-Jun ZhaCVPR 2019Adaptive Transfer Network for Cross-Domain Person Re-Identification
Jiawei Liu, Zheng-Jun Zha, Di Chen, Richang Hong, Meng WangACM MM 2018CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification
Jiawei Liu, Zheng-Jun Zha, Hongtao Xie, Zhiwei Xiong, Yongdong ZhangPCM 2018Temporal-Contextual Attention Network for Video-Based Person Re-identification
Di Chen, Zheng-Jun Zha, Jiawei Liu, Hongtao Xie, Yongdong ZhangACM MM 2016Multi-Scale Triplet CNN for Person Re-Identification
Jiawei Liu, Zheng-Jun Zha, QI Tian, Dong Liu, Ting Yao, Qiang Ling, Tao Mei
Fake Media Content Analysis
IEEE TPAMI 2026Threat in Frequency: Unveiling Hidden Attack Surfaces by Exploiting Stealthy Backdoors on Diffusion Models
Jingyi Xie, Jiawei Liu, Fanrui Zhang, Dong Li, Xueyang Fu, Zheng-Jun ZhaCVPRW 2026PRISM: Prior-Informed Semantic Multimodal Fusion for Audio-Visual Deception Detection
Jiaquan Yu, Yetao Fan, Yuanfang Shi, Rongtian Wang, Hui Zheng, Shuping He, Jiawei Liu, Zheng-Jun ZhaWWW 2026Navigating Truth in Multimodal Fact-checking via Retrieval- and Reasoning-Enhanced Large Language Models
Fanrui Zhang, Qiang Zhang, Jianwen Sun, Chuanhao Li, Jiaxin Ai, Yukang Feng, Zizhen Li, Kaipeng Zhang, Jiawei Liu, Zheng-Jun ZhaNeurIPS 2025Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning
Fanrui Zhang, Dian Li, Qiang Zhang, Jun Chen, Gang Liu, Junxiong Lin, Jiahong Yan, Jiawei Liu, Zheng-Jun ZhaIEEE TKDE 2025Toward Effective and Transferable Detection for Multi-modal Fake News in the Social Media Stream
Jingyi Xie, Jiawei Liu, Zheng-Jun ZhaIJCAI 2025Learnable Frequency Decomposition for Image Forgery Detection and Localization
Dong Li, Jiaying Zhu, Yidi Liu, Xin Lu, Xueyang Fu, Jiawei Liu, Aiping Liu, Zheng-Jun ZhaECCV 2024Noise-assisted Prompt Learning for Image Forgery Detection and Localization
Dong Li, Jiaying Zhu, Xueyang Fu, Xun Guo, Yidi Liu, Gang Yang, Jiawei Liu, Zheng-Jun ZhaIJCAI 2024Natural Language-centered Inference Network for Multi-modal Fake News Detection
Qiang Zhang, Jiawei Liu, Fanrui Zhang, Jingyi Xie, Zheng-Jun ZhaWWW 2024ESCNet: Entity-enhanced and Stance Checking Network for Multi-modal Fact-Checking
Fanrui Zhang, Jiawei Liu, Jingyi Xie, Qiang Zhang, Yongchao Xu, Zheng-Jun ZhaIEEE TIFS 2023Adaptive Texture and Spectrum Clue Mining for Generalizable Face Forgery Detection
Jiawei Liu, Jingyi Xie, Yang Wang, Zheng-Jun ZhaACM MM 2023Hierarchical Semantic Enhancement Network for Multimodal Fake News Detection
Qiang Zhang, Jiawei Liu, Fanrui Zhang, Jingyi Xie, Zheng-Jun ZhaACM MM 2023ECENet: Explainable and Context-Enhanced Network for Multi-modal Fact verification
Fanrui Zhang, Jiawei Liu, Qiang Zhang, Esther Sun, Jingyi Xie, Zheng-Jun ZhaARXIV 2023Knowledge-enhanced Hierarchical Information Correlation Learning for Multi-modal Rumor Detection
Jiawei Liu, Jingyi Xie, Fanrui Zhang, Qiang Zhang, Zheng-Jun ZhaDe-Factify2 2023Unimodal Feature-Enhanced and Cross-Modal Correlation Learning for Multi-Modal Fact Verification
Fanrui Zhang, Qiang Zhang, Jiawei Liu, Sun EstherCVPR 2023Edge-Aware Regional Message Passing Controller for Image Forgery Localization
Dong Li, Jiaying Zhu, Menglu Wang, Jiawei Liu, Xueyang Fu, Zheng-Jun ZhaACM MM 2022JPEG Compression-aware Image Forgery Localization
Menglu Wang, Xueyang Fu, Jiawei Liu, Zheng-Jun ZhaARXIV 2022Label Noise-Resistant Mean Teaching for Weakly Supervised Fake News Detection
Jingyi Xie, Jiawei Liu, Zheng-Jun Zha
Multimodal Large Language Models
IEEE TIP 2026ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization
Fanrui Zhang, Jiawei Liu, Jiaying Zhu, Esther Sun, Qiang Zhang, Zheng-Jun ZhaEMNLP Findings 2026ArenaFlow: From Trajectory Ranking to Hierarchical Credit Propagation for Open-Ended Agent RL
Qiang Zhang, Ruixue Ding, Fanrui Zhang, Xi Chen, Boli Chen, Shihang Wang, Yinfeng Huang, Yi Zheng, Pengjun Xie, Kaipeng Zhang, Jiawei Liu, Zheng-Jun ZhaECCV 2026Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection
Fanrui Zhang, Qiang Zhang, Sizhuo Zhou, Jianwen Sun, Chuanhao Li, Jiaxin Ai, Yukang Feng, Yujie Zhang, Wenjie Li, Zizhen Li, Yifan Chang, Jiawei Liu, Kaipeng ZhangICML 2026ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative Ranking
Qiang Zhang, Boli Chen, Fanrui Zhang, Ruixue Ding, Shihang Wang, Qiuchen Wang, Yinfeng Huang, Haonan Zhang, Rongxiang Zhu, Xin Li, Houquan Zhou, Pengjun Xie, Kaipeng Zhang, Jingren Zhou, Jiawei Liu | ProjectCVM 2026Mining the Potential of Rehearsal Mechanism for VLM-based Class Incremental Learning
Sen Tao, Jiawei Liu, Yongchao Xu, Guangxi Wan, and Peng ZengICLR 2026PSP: Prompt-Guided Self-Training Sampling Policy for Active Prompt Learning
Sen Tao, Kaiduo Feng, Jiawei Liu, Peng Zeng, Yongchao Xu, Yufei Zheng, Zheng-Jun ZhaIJCV 2025Boosting Active Prompt Learning via Discriminative Self-Training Dual-Curriculum Learning
Sen Tao, Jiawei Liu, Peng Zeng, Yongchao Xu, Bingyu Hu, Zheng-Jun ZhaNeurIPS 2025Reliable Lifelong Multimodal Editing: Conflict-Aware Retrieval Meets Multi-Level Guidance
Qiang Zhang, Fanrui Zhang, Jiawei Liu, Ming Hu, Junjun He, Zheng-Jun ZhaCVPR 2025Hierarchical Knowledge Prompt Tuning for Multi-task Test-Time Adaptation
Qiang Zhang, Mengsheng Zhao, Jiawei Liu, Fanrui Zhang, Yongchao Xu, Zheng-Jun ZhaCVPR 2025Benchmarking Large Vision-Language Models via Directed Scene Graph
Fan Lu, Wei Wu, Kecheng Zheng, Shuailei Ma, Biao Gong, Jiawei Liu, Wei Zhai, Cao Yang, Yujun Shen, Zheng-Jun Zha | ProjectARXIV 2024TagAlign: Improving Vision-Language Alignment with Multi-Tag Classification
Qinying Liu, Wei Wu, Kecheng Zheng, Zhan Tong, Jiawei Liu, Yu Liu, Wei Chen, Zilei Wang, Yujun Shen | ProjectICCV 2023Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models
Kecheng Zheng, Wei Wu, Ruili Feng, Kai Zhu, Jiawei Liu, Deli Zhao, Zheng-Jun Zha, Wei Chen, Yujun Shen | ProjectACM TOMM 2019Spatiotemporal-Textual Co-Attention Network for Video Question Answering
Zheng-Jun Zha, Jiawei Liu, Tianhao Yang, Yongdong Zhang
Patents
- 2026.04 一种基于强化学习框架的开放词汇人物交互检测方法查正军; 刘嘉威; 徐永超; 王浚沣
- 2026.03 基于检索与推理增强大语言模型的多模态事实核查方法查正军; 刘嘉威; 展宏民; 张凡瑞
- 2025.11 基于冲突感知检索和多级协同引导的多模态知识编辑方法查正军; 刘嘉威; 张强; 张凡瑞
- 2025.10 基于双重不确定性引导特征对齐的文本到图像行人检索方法查正军; 刘嘉威; 郑雨霏
- 2025.03 一种基于Mamba架构的人物交互检测方法查正军; 刘嘉威; 徐永超
- 2024.10 一种基于实体增强和立场检查的多模态事实核查方法查正军; 刘嘉威; 张凡瑞; 张强
- 2024.10 基于特征多样化和域自适应特征选择的鲁棒行人重识别方法刘嘉威; 赵国治; 吴勇; 贺强; 胡冰玉
- 2024.10 一种基于跨模态语义对齐的文本行人重识别方法刘嘉威; 赵国治; 吴勇; 贺强; 甘文君
- 2024.10 一种基于噪声辅助提示学习的图像伪造检测定位方法查正军; 傅雪阳; 李东; 朱佳莹; 刘嘉威
- 2023.10 基于边缘感知的区域消息传递控制的图像伪造定位方法查正军; 傅雪阳; 李东; 朱佳莹; 刘嘉威
- 2023.11 一种基于多层次语义增强的多模态假新闻检测方法查正军; 刘嘉威; 张强; 张凡瑞
- 2022.10 一种基于特征对齐的退化环境下的行人重识别方法查正军; 刘嘉威; 王堃宇
- 2022.10 基于时序补偿引导的强化学习图像-视频行人重识别方法查正军; 刘嘉威; 吴蔚
- 2022.10 基于高斯过程的去偏批量归一化的鲁棒行人重识别方法查正军; 刘嘉威; 黄志鹏
- 2022.10 基于模态自适应混合和不变性卷积分解的行人重识别方法查正军; 刘嘉威; 黄志鹏
- 2020.10 检索目标的方法和装置刘武; 刘嘉威; 梅涛; 郑可成
- 2019.10 行人再识别数据生成方法查正军; 刘嘉威
Honors & Awards
- 2026.06 CVPR2026 Workshop: MultiModal Deception Detection Challenge (1st Place Award)
- 2025.10 First-Class Award of Anhui Provincial Natural Science Award (3/3)
- 2025.10 PRCV2025 Workshop: Omni Multi-modal Person Re-identification Challenge (Excellence Award)
- 2024.07 ACM MM2024 Workshop: Micro-Action Analysis Grand Challenge (3rd Place Award)
- 2023.03 AAAI2023 Workshop: Defactify 2: Multimodal Fake News Detection (4th Place Award)
- 2022.01 Mozi Distinguished Youth Special Allowance of USTC
- 2020.01 Special Research Assistantship of CAS
- 2019.06 CAS Presidential Scholarship
- 2019.06 Outstanding Graduates Scholarship, USTC
- 2018.09 Individual Scholarship, USTC
- 2016.09 Individual Scholarship, USTC
Experience
Professional Experience
-
2026.05 – Present
University of Science and Technology of China Associate Professor Department of Automation Collaborating with Prof. Zheng-Jun Zha
-
2025.09 – 2026.08
National University of Singapore Visiting Scholar School of Computing · Department of Computer Science Host: Prof. Shuicheng Yan
-
2021.12 – 2026.04
University of Science and Technology of China Associate Research Fellow Department of Automation Collaborating with Prof. Zheng-Jun Zha
-
2019.10 – 2021.11
University of Science and Technology of China Postdoctoral Research Fellow Department of Automation Collaborating with Prof. Zheng-Jun Zha and Prof. Yongdong Zhang
- 2019.08 – 2019.10
- 2016.10 – 2017.01
Education
-
2014.09 – 2019.06
University of Science and Technology of China Ph.D. Control Science and Engineering · Department of Automation Advisor: Prof. Zheng-Jun Zha
-
2009.08 – 2013.07
Hefei University of Technology B.S. Automation · Department of Automation Advisor: Prof. Chenghui Zhu
Funding
- 2025.01 – 2028.12 National Natural Science Foundation of China, General ProgramPI基金委面上基金项目, 主持
- 2025.09 – 2026.08 CCF-1688 Yuanbao Cooperation FundPICCF-1688源宝合作基金项目,主持
- 2025.01 – 2026.12 USTC Research Funds of the Double First-Class InitiativePI校青年创新重点基金项目, 主持
- 2022.01 – 2024.12 National Natural Science Foundation of China, Youth ProgramPI基金委青年基金项目, 主持
- 2023.06 – 2024.12 China Merchants Bank-USTC Laboratory Collaborative ProjectPI招商银行-中国科大实验室合作项目, 主持
- 2021.01 – 2022.12 USTC Research Funds of the Double First-Class InitiativePI校青年创新基金项目, 主持
- 2021.01 – 2022.12 China Postdoctoral Science FoundationPI中国博士后面上基金项目, 主持
- 2024.07 – 2029.06 Chinese Academy of Sciences Stable Support Basic Research Youth Team ProgramSubproject PI中国科学院稳定支持基础研究领域青年团队计划, 课题主持
- 2024.04 – 2030.12 Strategic Priority Project of the Chinese Academy of Sciences on Securing the High Ground in Science and TechnologyKey Participant中国科学院抢占科技制高点专项课题,参与
- 2025.01 – 2026.12 USTC Research Funds of the Double First-Class InitiativeKey Participant校融合专项基金项目, 参与
- 2020.11 – 2023.10 National Key R&D Program of ChinaKey Participant科技创新2030-“新一代人工智能”重大项目, 参与
- 2020.01 – 2023.12 Joint Funds of the National Natural Science Foundation of ChinaKey Participant基金委联合重点基金项目, 参与
- 2017.01 – 2021.12 National Key R&D Program of ChinaKey Participant国家重点研发计划课题, 参与
Teaching
Graduate Courses
Undergraduate Courses
Academic Service
Expert Service
- Expert in the National Graduate Education Evaluation and Monitoring Expert Database
- Expert in the National Undergraduate Thesis (Design) Random Inspection and Evaluation Expert Database
- Member of CSIG Technical Committee on Multimedia
- Member of CSIG Technical Committee on Digital Media Forensics and Security
- Member of CCF Technical Committee on Multimedia Technology
Young Editorial Board Member
- Journal of Intelligent Computing and Networking
Journal Reviewer
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- International Journal of Computer Vision
- IEEE Transactions on Multimedia
- IEEE Transactions on Cybernetics
- IEEE Transactions on Image Processing
- IEEE Transactions on Emerging Topics in Computational Intelligence
- IEEE Transactions on Neural Networks and Learning Systems
- IEEE Transactions on Circuits and Systems for Video Technology
- IEEE Transactions on Dependable and Secure Computing
- IEEE Transactions on Artificial Intelligence
- IEEE Transactions on Industrial Informatics
- IEEE Transactions on Computational Social Systems
- IEEE Transactions on Automation Science and Engineering
- IEEE Transactions on Consumer Electronics
- ACM Transactions on Data Science
- ACM Transactions on Multimedia Computing Communications and Applications
- Neurocomputing
- Neural Networks
- Image and Vision Computing
- Computer Vision and Image Understanding
- IEEE Internet of Things Journal
- IEEE Signal Processing Letters
- Pattern Recognition Letters
- IEEE Sensors Letters
- Journal of Computer Science and Technology
Conference Area Chair or Senior Program Committee
- AAAI Conference on Artificial Intelligence
- Chinese Control Conference
Conference Reviewer
- NeurIPS, CVPR, ICCV, ECCV, ICML, ICLR, ACM MM, IJCAI, AAAI, ICME, PRCV, ACCV


