Unsupervised semantic deep hashing. - Sheng Jin 002; Hongxun Yao; Xiaoshuai Sun; Shangchen Zhou (Neurocomputing, 2019)

HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation. - Chao Chen 026; Zhihang Fu; Zhihong Chen; Sheng Jin 002; Zhaowei Cheng; Xinyu Jin; Xian-Sheng Hua 001 (AAAI, 2020)

SSAH: Semi-Supervised Adversarial Deep Hashing with Self-Paced Hard Sample Generation. - Sheng Jin 002; Shangchen Zhou; Yao Liu 014; Chao Chen 026; Xiaoshuai Sun; Hongxun Yao; Xian-Sheng Hua 001 (AAAI, 2020)

Deep Saliency Hashing for Fine-Grained Retrieval. - Sheng Jin 002; Hongxun Yao; Xiaoshuai Sun; Shangchen Zhou; Lei Zhang 006; Xian-Sheng Hua 001 (IEEE Trans. Image Process., 2020)

Asynchronous Teacher Guided Bit-wise Hard Mining for Online Hashing. - Sheng Jin 002; Qin Zhou; Hongxun Yao; Yao Liu 014; Xian-Sheng Hua 001 (AAAI, 2021)

Unsupervised Discrete Hashing With Affinity Similarity. - Sheng Jin 002; Hongxun Yao; Qin Zhou; Yao Liu 014; Jianqiang Huang; Xian-Sheng Hua 001 (IEEE Trans. Image Process., 2021)

Temporal Action Proposal Generation with Background Constraint. - Haosen Yang 003; Wenhao Wu; Lining Wang; Sheng Jin 002; Boyang Xia; Hongxun Yao; Hujie Huang (AAAI, 2022)

Domain Generalization via Balancing Training Difficulty and Model Capability. - Xueying Jiang; Jiaxing Huang 001; Sheng Jin 002; Shijian Lu (ICCV, 2023)

Uncertainty-aware Unsupervised Multi-Object Tracking. - Kai Liu 023; Sheng Jin 002; Zhihang Fu; Ze Chen 001; Rongxin Jiang 001; Jieping Ye (ICCV, 2023)

Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions. - Kai Liu 023; Zhihang Fu; Chao Chen 026; Sheng Jin 002; Ze Chen 001; Mingyuan Tao; Rongxin Jiang 001; Jieping Ye (NeurIPS, 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)

MIFNet: Multiple instances focused temporal action proposal generation. - Lining Wang; Hongxun Yao; Haosen Yang 003; Sibo Wang 012; Sheng Jin 002 (Neurocomputing, 2023)

Weakly Supervised Monocular 3D Detection with a Single-View Image. - Xueying Jiang; Sheng Jin 002; Lewei Lu; Xiaoqin Zhang 002; Shijian Lu (CVPR, 2024)

LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors. - Sheng Jin 002; Xueying Jiang; Jiaxing Huang 001; Lewei Lu; Shijian Lu (ICLR, 2024)

MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders. - Xueying Jiang; Sheng Jin 002; Xiaoqin Zhang 002; Ling Shao 001; Shijian Lu (NeurIPS, 2024)

Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution. - Kai Liu 023; Zhihang Fu; Sheng Jin 002; Chao Chen 026; Ze Chen 001; Rongxin Jiang 001; Fan Zhou 007; Yaowu Chen; Jieping Ye (NeurIPS, 2024)

FrozenSeg: Harmonizing Frozen Foundation Models for Open-Vocabulary Segmentation. - Xi Chen 110; Haosen Yang 003; Sheng Jin 002; Xiatian Zhu; Hongxun Yao (CoRR, 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)

ESOD: Efficient Small Object Detection on High-Resolution Images. - Kai Liu 023; Zhihang Fu; Sheng Jin 002; Ze Chen 001; Fan Zhou 007; Rongxin Jiang 001; Yaowu Chen; Jieping Ye (IEEE Trans. Image Process., 2025)