教育经历

2007-2011：哈尔滨工业大学（威海），广播电视编导，文学学士

2013-2015：哈尔滨工业大学，计算机科学与技术，工学硕士

2015-2022：哈尔滨工业大学，计算机应用技术，工学博士

工作经历

2023-至今：厦门大学，人工智能研究院，工程师

科研领域

主要研究领域：图像质量评价（Blind Image Quality Assessment）& 大模型后训练优化（Large Language Model Post-Training Optimization）

代表性研究成果

[1] Guanyi Qin, Runze Hu, Yutao Liu, Xiawu Zheng, Haotian Liu, Xiu Li*, Yan Zhang*, Data‑Efficient Image Quality Assessment with Attention‑Panel Decoder, AAAI, 2023

[2]  XuDong Li, Timin Gao, Runze Hu, Yan Zhang*, Shengchuan Zhang, Xiawu Zheng, Jingyuan Zheng, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Rongrong Ji, Adaptive Feature Selection for No‑Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity, ICML, 2024

[3] XuDong Li, Runze Hu, Jingyuan Zheng, Yan Zhang*, Shengchuan Zhang, Xiawu Zheng, Ke Li, Yunhang Shen, Yutao Liu, Pingyang Dai, Rongrong Ji, Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment, ICML, 2024

[4] Wensheng Pan、Timin Gao、Yan Zhang*、Xiawu Zheng、Yunhang Shen、Ke Li、Runze Hu、Yutao Liu、Pingyang Dai, Semi‑Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning, AAAI, 2024

[5] Zihao He, Shengchuan Zhang, Runze Hu, Yunhang Shen, Yan Zhang*, BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super‑Resolution, AAAI, 2025

[6] Xudong Li, Yan Zhang*, Yunhang Shen, Ke Li, Runze Hu, Xiawu Zheng, Sicheng Zhao, Feature Denoising Diffusion Model for Blind Image Quality Assessment, AAAI, 2025

[7] Xudong Li, Zihao Huang, Yan Zhang*, Yunhang Shen, Ke Li, Xiawu Zheng, Liujuan Cao, Rongrong Ji, Few-Shot Image Quality Assessment via Adaptation of Vision-Language Models, ICCV, 2025

[8] Zhiquan Qin, Zihao He, Yan Zhang*, Yunhang Shen, Ke Li, GraphMSR: A Graph Foundation Model-Based Approach for MRI Image Super-Resolution with Multimodal Semantic Integration, Pattern Recognition, 2025

其他研究成果

[1] Wenfeng Liu, Xudong Wang, Lei Tan, Yan Zhang, Pingyang Dai, Yongjian We, Rongrong Ji, Learning occlusion disentanglement with fine‑grained localization for occluded person re‑identification, ACM MM, 2023

[2] Quanmin Liang, Xiawu Zheng, Kai Huang, Yan Zhang, Jie Chen, Yonghong Tian, Event‑diffusion: Event‑based image reconstruction and restoration with diffusion models, ACM MM, 2023

[3] Pengfei Yue, Jianghang Lin, Shengchuan Zhang, Jie Hu, Yilin Lu, Hongwei Niu, Haixin Ding, Yan Zhang, Guannan Jiang, Liujuan Cao, Rongrong Ji, Adaptive Selection based Referring Image Segmentation, ACM MM, 2024

[4] Timin Gao, Peixian Chen, Mengdan Zhang, Chaoyou Fu, Yunhang Shen, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Xing Sun, Liujuan Cao, Rongrong Ji, Cantor: Inspiring multimodal chain‑of‑thought of mllm, ACM MM, 2024

[5] Lei Tan, Yukang Zhang, Keke Han, Pingyang Dai, Yan Zhang, Yongjian Wu, Rongrong Ji, RLE: A unified perspective of data augmentation for cross-spectral re-identification, NeurIPS, 2024

[6] Tao Chen, Enwei Zhang, Yuting Gao, Ke Li, Xing Sun, Yan Zhang, Hui Li, Rongrong Ji, MMICT: Boosting Multi‑Modal Fine‑Tuning with In‑Context Examples, TOMM, 2024

[7] Xiaohui Chu, Hantao Zhou, Yan Zhang, Yachao Zhang, Runze Hu, Haoran Duan, Yawen Huang, Yefeng Zheng, Rongrong Ji, Attention‑driven acoustic properties learning for underwater target ranging, Pattern Recognition, 2025

[8] Weiqi Yan, Lvhai Chen, Shengchuan Zhang, Yan Zhang, Liujuan Cao, SCOUT: Semi-supervised Camouflaged Object Detection by Utilizing Text and Adaptive Data Selection, IJCAI, 2025

[9] Weiqi Yan, Lvhai Chen, Huaijia Kou, Shengchuan Zhang, Yan Zhang, Liujuan Cao, UCOD‑DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo‑label Learning, CVPR, 2025

[10] Xudong Li, Wenjie Nie, Yan Zhang, Runze Hu, Ke Li, Xiawu Zheng, Liujuan Cao, Distilling Spatially‑Heterogeneous Distortion Perception for Blind Image Quality Assessment, CVPR, 2025

[11] Sheng Ye, ChenXin, Yan Zhang, Xianming Lin, Liujuan Cao, ESCNet: Edge-Semantic Collaborative Network for Camouflaged Object Detect, ICCV, 2025

[12] Bang Li, Zengmao Ding, Yan Zhang, Han Zhang, Jing Yang, Jiaqi Fang, Taisong Jin, Yongge Liu, Zhenhao Song, Rongrong Ji, An open benchmark for oracle bone rubbing image retrieval. Heritage Science, 2025

[13] Qian Chen,  Zihang Lin,  Xudong Li,  Jingyuan Zheng,  Yan Zhang, Rongrong Ji, Multi‑scale and contrastive learning for pediatric chest radiograph classification tasks, Displays, 2025

[14] Qian Chen,  Lvhai Chen,  Wenjie Nie,  Xudong Li,  Jingyuan Zheng,  Jiajun Zhong,  Yihua Wei,  Yan Zhang, Rongrong Ji, mixed‑scale dynamic attention transformer for pediatric pneumonia diagnosis, Displays, 2025

[15] Wang Chen, Yuhui Zeng, Yongdong Luo, Tianyu Xie, Luojun Lin, Jiayi Ji, Yan Zhang, Xiawu Zheng, Wavelet-based Frame Selection by Detecting Semantic Boundary for Long Video Understanding, CVPR, 2026

学术社区服务

[1] 中国图象图形学学会情感计算与理解专业委员会委员

[2] 2025~2026年国际计算机学会多媒体会议（ACMMM，CCF- A类会议），领域主席（Area Chair）

[3] 2025年国际声学、语音与信号处理会议（ICASSP，CCF-B类会议），分论坛主席（Special Session Chair）

[4] 2026年IEEE国际多媒体与博览大会（ICME，CCF-B类会议）领域主席，分论坛主席

[5] 2025~2026年智能计算国际会议（ICIC，CCF-C类会议），领域主席（Area Chair）

[6] 2026年智能计算国际会议（ICIC，CCF C类会议）组委会研讨会主席（Workshop Co-Chair, Organizing Committee）

[7] 2023/2025/2026年中国模式识别与计算机视觉大会（PRCV，CCF-C类会议），分论坛主席（Special Session Chair）

[8] 2026年中国图象图形大会（CCIG） “动态与不确定环境下的鲁棒视觉智能论坛”主持人

协助指导学生