Vehicle Re-Identification with Refined Part Model. - Xingan Ma; Kuan Zhu; Haiyun Guo; Jinqiao Wang; Min Huang 009; Qinghai Miao (ICME Workshops, 2019)

Two-Level Attention Network With Multi-Grain Ranking Loss for Vehicle Re-Identification. - Haiyun Guo; Kuan Zhu; Ming Tang 001; Jinqiao Wang (IEEE Trans. Image Process., 2019)

Identity-Guided Human Semantic Parsing for Person Re-identification. - Kuan Zhu; Haiyun Guo; Zhiwei Liu 004; Ming Tang 001; Jinqiao Wang (ECCV (3), 2020)

AAformer: Auto-Aligned Transformer for Person Re-Identification. - Kuan Zhu; Haiyun Guo; Shiliang Zhang; Yaowei Wang 001; Gaopan Huang; Honglin Qiao; Jing Liu 001; Jinqiao Wang; Ming Tang 001 (CoRR, 2021)

Unsupervised cycle-consistent person pose transfer. - Songyan Liu; Haiyun Guo; Kuan Zhu; Jinqiao Wang; Ming Tang 001 (Neurocomputing, 2021)

PASS: Part-Aware Self-Supervised Pre-Training for Person Re-Identification. - Kuan Zhu; Haiyun Guo; Tianyi Yan; Yousong Zhu; Jinqiao Wang; Ming Tang 001 (ECCV (14), 2022)

Part-Aware Self-Supervised Pre-Training for Person Re-Identification. - Kuan Zhu; Haiyun Guo; Tianyi Yan; Yousong Zhu; Jinqiao Wang; Ming Tang 001 (CoRR, 2022)

Plug-and-Play Pseudo Label Correction Network for Unsupervised Person Re-identification. - Tianyi Yan; Kuan Zhu; Haiyun Guo; Guibo Zhu; Ming Tang 001; Jinqiao Wang (CoRR, 2022)

Multi-Granularity Mutual Learning Network for Object Re-Identification. - Mingfei Tu; Kuan Zhu; Haiyun Guo; Qinghai Miao; Chaoyang Zhao; Guibo Zhu; Honglin Qiao; Gaopan Huang; Ming Tang 001; Jinqiao Wang (IEEE Trans. Intell. Transp. Syst., 2022)

Hybrid Modality Metric Learning for Visible-Infrared Person Re-Identification. - La Zhang; Haiyun Guo; Kuan Zhu; Honglin Qiao; Gaopan Huang; Sen Zhang; Huichen Zhang; Jian Sun 003; Jinqiao Wang (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Learning Semantics-Consistent Stripes With Self-Refinement for Person Re-Identification. - Kuan Zhu; Haiyun Guo; Songyan Liu; Jinqiao Wang; Ming Tang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models. - Jinghan He; Haiyun Guo; Kuan Zhu; Zihan Zhao; Ming Tang 001; Jinqiao Wang (EMNLP, 2024)

Monocular Lane Detection Based on Deep Learning: A Survey. - Xin He; Haiyun Guo; Kuan Zhu; Bingke Zhu; Xu Zhao 003; Jianwu Fang; Jinqiao Wang (CoRR, 2024)

AAformer: Auto-Aligned Transformer for Person Re-Identification. - Kuan Zhu; Haiyun Guo; Shiliang Zhang; Yaowei Wang 001; Jing Liu 001; Jinqiao Wang; Ming Tang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence. - Jinghan He; Kuan Zhu; Haiyun Guo; Junfeng Fang; Zhenglin Hua; Yuheng Jia; Ming Tang 001; Tat-Seng Chua; Jinqiao Wang (ACL (1), 2025)

Referring Expression Instance Retrieval and A Strong End-to-End Baseline. - Xiangzhao Hao; Kuan Zhu; Hongyu Guo; Haiyun Guo; Ning Jiang; Quan Lu; Ming Tang 001; Jinqiao Wang (CoRR, 2025)

FOCUS: Fine-grained Optimization with Semantic Guided Understanding for Pedestrian Attributes Recognition. - Hongyan An; Kuan Zhu; Xin He; Haiyun Guo; Chaoyang Zhao; Ming Tang 001; Jinqiao Wang (CoRR, 2025)

UniFGVC: Universal Training-Free Few-Shot Fine-Grained Vision Classification via Attribute-Aware Multimodal Retrieval. - Hongyu Guo; Kuan Zhu; Xiangzhao Hao; Haiyun Guo; Ming Tang 001; Jinqiao Wang (CoRR, 2025)

MLLM-CBench:A Comprehensive Benchmark for Continual Instruction Tuning of Multimodal LLMs with Chain-of-Thought Reasoning Analysis. - Haiyun Guo; ZhiYan Hou; Yu Chen; Jinghan He; Yandu Sun; Yuzhe Zhou; Shujing Guo; Kuan Zhu; Jinqiao Wang (CoRR, 2025)