Generative Domain-Migration Hashing for Sketch-to-Image Retrieval. - Jingyi Zhang 005; Fumin Shen; Li Liu 004; Fan Zhu 001; Mengyang Yu; Ling Shao 001; Heng Tao Shen; Luc Van Gool (ECCV (2), 2018)

Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling. - Zhen Wei; Jingyi Zhang 005; Li Liu 004; Fan Zhu 001; Fumin Shen; Yi Zhou 007; Si Liu 001; Yao Sun 004; Ling Shao 001 (CVPR, 2019)

Generative Reconstructive Hashing for Incomplete Video Analysis. - Jingyi Zhang 005; Zhen Wei; Ionut Cosmin Duta; Fumin Shen; Li Liu 004; Fan Zhu 001; Xing Xu 001; Ling Shao 001; Heng Tao Shen (ACM Multimedia, 2019)

Dual ResGCN for Balanced Scene GraphGeneration. - Jingyi Zhang 005; Yong Zhang 034; Baoyuan Wu; Yanbo Fan; Fumin Shen; Heng Tao Shen (CoRR, 2020)

Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation. - Gengcong Yang; Jingyi Zhang 005; Yong Zhang 034; Baoyuan Wu; Yujiu Yang (CVPR, 2021)

DA-DETR: Domain Adaptive Detection Transformer by Hybrid Attention. - Jingyi Zhang 005; Jiaxing Huang 001; Zhipeng Luo; Gongjie Zhang; Shijian Lu (CoRR, 2021)

Spectral Unsupervised Domain Adaptation for Visual Recognition. - Jingyi Zhang 005; Jiaxing Huang 001; Shijian Lu (CoRR, 2021)

Spectral Unsupervised Domain Adaptation for Visual Recognition. - Jingyi Zhang 005; Jiaxing Huang 001; Zichen Tian; Shijian Lu (CVPR, 2022)

Hierarchical Mask Calibration for Unified Domain Adaptive Panoptic Segmentation. - Jingyi Zhang 005; Jiaxing Huang 001; Shijian Lu (CoRR, 2022)

Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors. - Gongjie Zhang; Zhipeng Luo; Yingchen Yu; Zichen Tian; Jingyi Zhang 005; Shijian Lu (CoRR, 2022)

Domain Adaptive Scene Text Detection via Subcategorization. - Zichen Tian; Chuhui Xue; Jingyi Zhang 005; Shijian Lu (CoRR, 2022)

UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration. - Jingyi Zhang 005; Jiaxing Huang 001; Xiaoqin Zhang 002; Shijian Lu (CVPR, 2023)

DA-DETR: Domain Adaptive Detection Transformer with Information Fusion. - Jingyi Zhang 005; Jiaxing Huang 001; Zhipeng Luo; Gongjie Zhang; Xiaoqin Zhang 002; Shijian Lu (CVPR, 2023)

Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors. - Gongjie Zhang; Zhipeng Luo; Zichen Tian; Jingyi Zhang 005; Xiaoqin Zhang 002; Shijian Lu (CVPR, 2023)

Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory. - Jingyi Zhang 005; Jiaxing Huang 001; Xueying Jiang; Shijian Lu (ICCV, 2023)

Prompt Ensemble Self-training for Open-Vocabulary Domain Adaptation. - Jiaxing Huang 001; Jingyi Zhang 005; Han Qiu 008; Sheng Jin 002; Shijian Lu (CoRR, 2023)

Visual Instruction Tuning towards General-Purpose Multimodal Model: A Survey. - Jiaxing Huang 001; Jingyi Zhang 005; Kai Jiang; Han Qiu 008; Shijian Lu (CoRR, 2023)

Historical Test-time Prompt Tuning for Vision Foundation Models. - Jingyi Zhang 005; Jiaxing Huang 001; Xiaoqin Zhang 002; Ling Shao 001; Shijian Lu (NeurIPS, 2024)

Learning to Prompt Segment Anything Models. - Jiaxing Huang 001; Kai Jiang; Jingyi Zhang 005; Han Qiu 008; Lewei Lu; Shijian Lu; Eric P. Xing (CoRR, 2024)

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search. - Huanjin Yao; Jiaxing Huang 001; Wenhao Wu; Jingyi Zhang 005; Yibo Wang; Shunyu Liu 001; Yingjie Wang 007; Yuxin Song; Haocheng Feng; Li Shen 008; Dacheng Tao (CoRR, 2024)

Generalizable Black-Box Adversarial Attack With Meta Learning. - Fei Yin; Yong Zhang 034; Baoyuan Wu; Yan Feng; Jingyi Zhang 005; Yanbo Fan; Yujiu Yang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Vision-Language Models for Vision Tasks: A Survey. - Jingyi Zhang 005; Jiaxing Huang 001; Sheng Jin 002; Shijian Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization. - Jingyi Zhang 005; Jiaxing Huang 001; Huanjin Yao; Shunyu Liu 001; Xikun Zhang 007; Shijian Lu; Dacheng Tao (CoRR, 2025)

R1-ShareVL: Incentivizing Reasoning Capability of Multimodal Large Language Models via Share-GRPO. - Huanjin Yao; Qixiang Yin; Jingyi Zhang 005; Min Yang 007; Yibo Wang; Wenhao Wu; Fei Su; Li Shen 008; Minghui Qiu; Dacheng Tao; Jiaxing Huang 001 (CoRR, 2025)

MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI. - Huanjin Yao; Jiaxing Huang 001; Yawen Qiu; Michael K. Chen 002; Wenzheng Liu; Wei Zhang 196; Wenjie Zeng; Xikun Zhang 007; Jingyi Zhang 005; Yuxin Song; Wenhao Wu; Dacheng Tao (CoRR, 2025)