Photo Quality Assessment with DCNN that Understands Image Well. - Zhe Dong; Xu Shen 001; Houqiang Li; Xinmei Tian 001 (MMM (2), 2015)

Transform-Invariant Convolutional Neural Networks for Image Classification and Search. - Xu Shen 001; Xinmei Tian 001; Anfeng He; Shaoyan Sun; Dacheng Tao (ACM Multimedia, 2016)

Multi-modal and multi-scale photo collection summarization. - Xu Shen 001; Xinmei Tian 001 (Multim. Tools Appl., 2016)

Monet: A System for Reliving Your Memories by Theme-Based Photo Storytelling. - Yue Wu; Xu Shen 001; Tao Mei 001; Xinmei Tian 001; Nenghai Yu; Yong Rui (IEEE Trans. Multim., 2016)

Patch Reordering: A NovelWay to Achieve Rotation and Translation Invariance in Convolutional Neural Networks. - Xu Shen 001; Xinmei Tian 001; Shaoyan Sun; Dacheng Tao (AAAI, 2017)

Classification and Representation Joint Learning via Deep Networks. - Ya Li; Xinmei Tian 001; Xu Shen 001; Dacheng Tao (IJCAI, 2017)

Sequence-to-Sequence Learning via Shared Latent Representation. - Xu Shen 001; Xinmei Tian 001; Jun Xing; Yong Rui; Dacheng Tao (AAAI, 2018)

Greedy Layer-Wise Training of Long Short Term Memory Networks. - Kaisheng Xu; Xu Shen 001; Ting Yao; Xinmei Tian 001; Tao Mei 001 (ICME Workshops, 2018)

Local Convolutional Neural Networks for Person Re-Identification. - Jiwei Yang; Xu Shen 001; Xinmei Tian 001; Houqiang Li; Jianqiang Huang; Xian-Sheng Hua 001 (ACM Multimedia, 2018)

Continuous Dropout. - Xu Shen 001; Xinmei Tian 001; Tongliang Liu; Fang Xu; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2018)

Quantization Networks. - Jiwei Yang; Xu Shen 001; Jun Xing; Xinmei Tian 001; Houqiang Li; Bing Deng; Jianqiang Huang; Xian-Sheng Hua 001 (CVPR, 2019)

Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification. - Yiru Zhao; Xu Shen 001; Zhongming Jin 001; Hongtao Lu 001; Xian-Sheng Hua 001 (CVPR, 2019)

β-Dropout: A Unified Dropout. - Lei Liu 029; Yuhao Luo; Xu Shen 001; Mingzhai Sun; Bin Li 025 (IEEE Access, 2019)

Patch Reordering: a Novel Way to Achieve Rotation and Translation Invariance in Convolutional Neural Networks. - Xu Shen 001; Xinmei Tian 001; Shaoyan Sun; Dacheng Tao (CoRR, 2019)

Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition. - Zhen Huang 007; Xu Shen 001; Xinmei Tian 001; Houqiang Li; Jianqiang Huang; Xian-Sheng Hua 001 (ACM Multimedia, 2020)

Partial Person Re-Identification With Part-Part Correspondence Learning. - Tianyu He; Xu Shen 001; Jianqiang Huang; Zhibo Chen 001; Xian-Sheng Hua 001 (CVPR, 2021)

Revisiting Knowledge Distillation: An Inheritance and Exploration Framework. - Zhen Huang 007; Xu Shen 001; Jun Xing; Tongliang Liu; Xinmei Tian 001; Houqiang Li; Bing Deng; Jianqiang Huang; Xian-Sheng Hua 001 (CVPR, 2021)

Dense Interaction Learning for Video-based Person Re-identification. - Tianyu He; Xin Jin 014; Xu Shen 001; Jianqiang Huang; Zhibo Chen 001; Xian-Sheng Hua 001 (ICCV, 2021)

3D Local Convolutional Neural Networks for Gait Recognition. - Zhen Huang 007; Dixiu Xue; Xu Shen 001; Xinmei Tian 001; Houqiang Li; Jianqiang Huang; Xian-Sheng Hua 001 (ICCV, 2021)

Video Object Segmentation with Dynamic Memory Networks and Adaptive Object Alignment. - Shuxian Liang; Xu Shen 001; Jianqiang Huang; Xian-Sheng Hua 001 (ICCV, 2021)

Meta Clustering Learning for Large-scale Unsupervised Person Re-identification. - Xin Jin 014; Tianyu He; Zhiheng Yin; Xu Shen 001; Tongliang Liu; Xinchao Wang; Jianqiang Huang; Xian-Sheng Hua 001; Zhibo Chen 001 (CoRR, 2021)

Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization. - Xin Jin 014; Tianyu He; Kecheng Zheng; Zhiheng Yin; Xu Shen 001; Zhen Huang 007; Ruoyu Feng; Jianqiang Huang; Zhibo Chen 001; Xian-Sheng Hua 001 (CVPR, 2022)

Meta Convolutional Neural Networks for Single Domain Generalization. - Chaoqun Wan; Xu Shen 001; Yonggang Zhang 003; Zhiheng Yin; Xinmei Tian 001; Feng Gao; Jianqiang Huang; Xian-Sheng Hua 001 (CVPR, 2022)

Unleashing the Potential of Adaptation Models via Go-getting Domain Labels. - Xin Jin 014; Tianyu He; Xu Shen 001; Songhua Wu; Tongliang Liu; Jingwen Ye; Xinchao Wang; Jianqiang Huang; Zhibo Chen 001; Xian-Sheng Hua 001 (ECCV Workshops (8), 2022)

Delving into Details: Synopsis-to-Detail Networks for Video Recognition. - Shuxian Liang; Xu Shen 001; Jianqiang Huang; Xian-Sheng Hua 001 (ECCV (4), 2022)

Meta Clustering Learning for Large-scale Unsupervised Person Re-identification. - Xin Jin 014; Tianyu He; Xu Shen 001; Tongliang Liu; Xinchao Wang; Jianqiang Huang; Zhibo Chen 001; Xian-Sheng Hua 001 (ACM Multimedia, 2022)

Contextual Convolutional Networks. - Shuxian Liang; Xu Shen 001; Tongliang Liu; Xian-Sheng Hua 001 (ICLR, 2023)

Moderate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep Learning. - Xiaobo Xia; Jiale Liu; Jun Yu 001; Xu Shen 001; Bo Han 003; Tongliang Liu (ICLR, 2023)

CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation. - Yexiong Lin; Yu Yao 005; Xiaolong Shi; Mingming Gong; Xu Shen 001; Dong Xu 001; Tongliang Liu (NeurIPS, 2023)

SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph. - Hanzhu Chen; Xu Shen 001; Qitan Lv; Jie Wang 005; Xiaoqi Ni; Jieping Ye (ACL (1), 2024)

Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning. - Wei Zhang; Chaoqun Wan; Tongliang Liu; Xinmei Tian 001; Xu Shen 001; Jieping Ye (CVPR, 2024)

Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding. - Wei Li 190; Zhen Huang 007; Xinmei Tian 001; Le Lu 001; Houqiang Li; Xu Shen 001; Jieping Ye (EMNLP, 2024)

From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning. - Wei Chen 005; Zhen Huang 007; Liang Xie 003; Binbin Lin; Houqiang Li; Le Lu 001; Xinmei Tian 001; Deng Cai 001; Yonggang Zhang 003; Wenxiao Wang 001; Xu Shen 001; Jieping Ye (ICML, 2024)

Interpreting and Improving Large Language Models in Arithmetic Calculation. - Wei Zhang; Chaoqun Wan; Yonggang Zhang 003; Yiu-ming Cheung; Xinmei Tian 001; Xu Shen 001; Jieping Ye (ICML, 2024)

Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control. - Yuxin Xiao; Chaoqun Wan; Yonggang Zhang 003; Wenxiao Wang 001; Binbin Lin; Xiaofei He 001; Xu Shen 001; Jieping Ye (NeurIPS, 2024)

SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graphs. - Hanzhu Chen; Xu Shen 001; Qitan Lv; Jie Wang 005; Xiaoqi Ni; Jieping Ye (CoRR, 2024)

Conditional Consistency Regularization for Semi-Supervised Multi-Label Image Classification. - Zhengning Wu; Tianyu He; Xiaobo Xia; Jun Yu 001; Xu Shen 001; Tongliang Liu (IEEE Trans. Multim., 2024)

Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models. - Wei Li 190; Zhen Huang 007; Houqiang Li; Le Lu 001; Yang Lu; Xinmei Tian 001; Xu Shen 001; Jieping Ye (ACL (1), 2025)

NeuronMerge: Merging Models via Functional Neuron Groups. - Wangyun Gu; Qianghua Gao; Li-Xin Zhang 001; Xu Shen 001; Jieping Ye (ACL (Findings), 2025)

Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings. - Chenghao Sun; Zhen Huang 007; Yonggang Zhang 003; Le Lu 001; Houqiang Li; Xinmei Tian 001; Xu Shen 001; Jieping Ye (ACL (1), 2025)

Tracing and Dissecting How LLMs Recall Factual Knowledge for Real World Questions. - Yiqun Wang; Chaoqun Wan; Sile Hu; Yonggang Zhang 003; Xiang Tian 002; Yaowu Chen; Xu Shen 001; Jieping Ye (ACL (1), 2025)

Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models. - Hanzhu Chen; Xu Shen 001; Jie Wang 005; Zehao Wang; Qitan Lv; Junjie He; Rong Wu; Feng Wu; Jieping Ye (ICLR, 2025)

Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs. - Rui Dai; Sile Hu; Xu Shen 001; Yonggang Zhang 003; Xinmei Tian 001; Jieping Ye (ICLR, 2025)