Kuan Zhu

According to our database, Kuan Zhu authored at least 23 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ReST-KV: Robust KV Cache Eviction with Layer-wise Output Reconstruction and Spatial-Temporal Smoothing.

Yongqi An, Chang Lu, Kuan Zhu, Tao Yu, Chaoyang Zhao, Hong Wu, Ming Tang, Jinqiao Wang

CoRR, May, 2026

Continual Instruction Tuning for Large Multimodal Models.

Jinghan He, Haiyun Guo, Kuan Zhu, Ming Tang, Jinqiao Wang

IEEE Trans. Image Process., 2026

Improving Generalization in LLM Structured Pruning via Function-Aware Neuron Grouping.

Tao Yu, Yongqi An, Kuan Zhu, Guibo Zhu, Ming Tang, Jinqiao Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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, August, 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, Jinqiao Wang

CoRR, August, 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, Jinqiao Wang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Semantic-aware Fine-grained Point Augmentation for 3D Multi-modal Object Detection.

Wei Li, Kuan Zhu, Haiyun Guo, Honghui Dong, Jinqiao Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 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, Jinqiao Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

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, Tat-Seng Chua, Jinqiao Wang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

AAformer: Auto-Aligned Transformer for Person Re-Identification.

Kuan Zhu, Haiyun Guo, Shiliang Zhang, Yaowei Wang, Jing Liu, Jinqiao Wang, Ming Tang

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Monocular Lane Detection Based on Deep Learning: A Survey.

Xin He, Haiyun Guo, Kuan Zhu, Bingke Zhu, Xu Zhao, Jianwu Fang, Jinqiao Wang

CoRR, 2024

SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models.

Jinghan He, Haiyun Guo, Kuan Zhu, Zihan Zhao, Ming Tang, Jinqiao Wang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Learning Semantics-Consistent Stripes With Self-Refinement for Person Re-Identification.

Kuan Zhu, Haiyun Guo, Songyan Liu, Jinqiao Wang, Ming Tang

IEEE Trans. Neural Networks Learn. Syst., November, 2023

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, Jinqiao Wang

ACM Trans. Multim. Comput. Commun. Appl., 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, Jinqiao Wang

IEEE Trans. Intell. Transp. Syst., 2022

Plug-and-Play Pseudo Label Correction Network for Unsupervised Person Re-identification.

Tianyi Yan, Kuan Zhu, Haiyun Guo, Guibo Zhu, Ming Tang, Jinqiao Wang

CoRR, 2022

Part-Aware Self-Supervised Pre-Training for Person Re-Identification.

Kuan Zhu, Haiyun Guo, Tianyi Yan, Yousong Zhu, Jinqiao Wang, Ming Tang

CoRR, 2022

PASS: Part-Aware Self-Supervised Pre-Training for Person Re-Identification.

Kuan Zhu, Haiyun Guo, Tianyi Yan, Yousong Zhu, Jinqiao Wang, Ming Tang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Unsupervised cycle-consistent person pose transfer.

Songyan Liu, Haiyun Guo, Kuan Zhu, Jinqiao Wang, Ming Tang

Neurocomputing, 2021

AAformer: Auto-Aligned Transformer for Person Re-Identification.

Kuan Zhu, Haiyun Guo, Shiliang Zhang, Yaowei Wang, Gaopan Huang, Honglin Qiao, Jing Liu, Jinqiao Wang, Ming Tang

CoRR, 2021

2020

Identity-Guided Human Semantic Parsing for Person Re-identification.

Kuan Zhu, Haiyun Guo, Zhiwei Liu, Ming Tang, Jinqiao Wang

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Two-Level Attention Network With Multi-Grain Ranking Loss for Vehicle Re-Identification.

Haiyun Guo, Kuan Zhu, Ming Tang, Jinqiao Wang

IEEE Trans. Image Process., 2019

Vehicle Re-Identification with Refined Part Model.

Xingan Ma, Kuan Zhu, Haiyun Guo, Jinqiao Wang, Min Huang, Qinghai Miao

Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019