Self-Supervised Deep Low-Rank Assignment Model for Prototype Selection. - Xingxing Zhang 001; Zhenfeng Zhu; Yao Zhao 001; Deqiang Kong (IJCAI, 2018)

Sparsity induced prototype learning via ℓp, 1-norm grouping. - Xingxing Zhang 001; Zhenfeng Zhu; Yao Zhao 001 (J. Vis. Commun. Image Represent., 2018)

Learning a General Assignment Model for Video Analytics. - Xingxing Zhang 001; Zhenfeng Zhu; Yao Zhao 001; Dongxia Chang (IEEE Trans. Circuits Syst. Video Technol., 2018)

ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries. - Xingxing Zhang 001; Shupeng Gui; Zhenfeng Zhu; Yao Zhao 001; Ji Liu 002 (CoRR, 2019)

ProLFA: Representative Prototype Selection for Local Feature Aggregation. - Xingxing Zhang 001; Zhenfeng Zhu; Yao Zhao 001 (CoRR, 2019)

Diffusion induced graph representation learning. - Fuzhen Li; Zhenfeng Zhu; Xingxing Zhang 001; Jian Cheng 001; Yao Zhao 001 (Neurocomputing, 2019)

Seeing All From a Few: ℓ1-Norm-Induced Discriminative Prototype Selection. - Xingxing Zhang 001; Zhenfeng Zhu; Yao Zhao 001; Dongxia Chang; Ji Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning. - Shuai Zheng 005; Zhenfeng Zhu; Xingxing Zhang 001; Zhizhe Liu; Jian Cheng 001; Yao Zhao 001 (CVPR, 2020)

From Anchor Generation to Distribution Alignment: Learning a Discriminative Embedding Space for Zero-Shot Recognition. - Fuzhen Li; Zhenfeng Zhu; Xingxing Zhang 001; Jian Cheng 001; Yao Zhao 001 (CoRR, 2020)

Taking Modality-free Human Identification as Zero-shot Learning. - Zhizhe Liu; Xingxing Zhang 001; Zhenfeng Zhu; Shuai Zheng 005; Yao Zhao 001; Jian Cheng 001 (CoRR, 2020)

ProLFA: Representative prototype selection for local feature aggregation. - Xingxing Zhang 001; Zhenfeng Zhu; Yao Zhao 001; Yawei Zhao (Neurocomputing, 2020)

Convolutional prototype learning for zero-shot recognition. - Zhizhe Liu; Xingxing Zhang 001; Zhenfeng Zhu; Shuai Zheng 005; Yao Zhao 001; Jian Cheng 001 (Image Vis. Comput., 2020)

Canonical Correlation Analysis With L2, 1-Norm for Multiview Data Representation. - Meixiang Xu; Zhenfeng Zhu; Xingxing Zhang 001; Yao Zhao 001; Xuelong Li 001 (IEEE Trans. Cybern., 2020)

Hierarchical Prototype Learning for Zero-Shot Recognition. - Xingxing Zhang 001; Shupeng Gui; Zhenfeng Zhu; Yao Zhao 001; Ji Liu 002 (IEEE Trans. Multim., 2020)

Double Low-Rank Representation With Projection Distance Penalty for Clustering. - Zhiqiang Fu; Yao Zhao 001; Dongxia Chang; Xingxing Zhang 001; Yiming Wang 007 (CVPR, 2021)

Does deep machine vision have just noticeable difference (JND)? - Jian Jin; Xingxing Zhang 001; Xin Fu; Huan Zhang 008; Weisi Lin; Jian Lou 003; Yao Zhao 001 (CoRR, 2021)

To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene. - Zhenfeng Zhu; Yingying Meng; Deqiang Kong; Xingxing Zhang 001; Yandong Guo; Yao Zhao 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

CoSCL: Cooperation of Small Continual Learners is Stronger Than a Big One. - Liyuan Wang; Xingxing Zhang 001; Qian Li 040; Jun Zhu 001; Yi Zhong (ECCV (26), 2022)

Memory Replay with Data Compression for Continual Learning. - Liyuan Wang; Xingxing Zhang 001; Kuo Yang; Longhui Yu; Chongxuan Li; Lanqing Hong; Shifeng Zhang; Zhenguo Li; Yi Zhong; Jun Zhu 001 (ICLR, 2022)

One-step Low-Rank Representation for Clustering. - Zhiqiang Fu; Yao Zhao 001; Dongxia Chang; Yiming Wang 007; Jie Wen 001; Xingxing Zhang 001; Guodong Guo (ACM Multimedia, 2022)

The More, The Better? Active Silencing of Non-Positive Transfer for Efficient Multi-Domain Few-Shot Classification. - Xingxing Zhang 001; Zhizhe Liu; Weikai Yang; Liyuan Wang; Jun Zhu 001 (ACM Multimedia, 2022)

HVS-Inspired Signal Degradation Network for Just Noticeable Difference Estimation. - Jian Jin; Yuan Xue; Xingxing Zhang 001; Lili Meng; Yao Zhao 001; Weisi Lin (CoRR, 2022)

Auto-weighted low-rank representation for clustering. - Zhiqiang Fu; Yao Zhao 001; Dongxia Chang; Xingxing Zhang 001; Yiming Wang 007 (Knowl. Based Syst., 2022)

Just Noticeable Difference for Deep Machine Vision. - Jian Jin; Xingxing Zhang 001; Xin Fu; Huan Zhang 008; Weisi Lin; Jian Lou 003; Yao Zhao 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

MFHI: Taking Modality-Free Human Identification as Zero-Shot Learning. - Zhizhe Liu; Xingxing Zhang 001; Zhenfeng Zhu; Shuai Zheng 005; Yao Zhao 001; Jian Cheng 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Diagnosing Ensemble Few-Shot Classifiers. - Weikai Yang; Xi Ye; Xingxing Zhang 001; Lanxi Xiao; Jiazhi Xia; Zhongyuan Wang 006; Jun Zhu 001; Hanspeter Pfister; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2022)

Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation. - Yilin Lyu; Liyuan Wang; Xingxing Zhang 001; Zicheng Sun; Hang Su 006; Jun Zhu 001; Liping Jing (NeurIPS, 2023)

Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality. - Liyuan Wang; Jingyi Xie; Xingxing Zhang 001; Mingyi Huang; Hang Su 006; Jun Zhu 001 (NeurIPS, 2023)

Towards a General Framework for Continual Learning with Pre-training. - Liyuan Wang; Jingyi Xie; Xingxing Zhang 001; Hang Su 006; Jun Zhu 001 (CoRR, 2023)

Unleashing the potential of GNNs via Bi-directional Knowledge Transfer. - Shuai Zheng 005; Zhizhe Liu; Zhenfeng Zhu; Xingxing Zhang 001; Jianxin Li 002; Yao Zhao 001 (CoRR, 2023)

Auto-Weighted Layer Representation Based View Synthesis Distortion Estimation for 3-D Video Coding. - Jian Jin; Xingxing Zhang 001; Lili Meng; Weisi Lin; Jie Liang 001; Huaxiang Zhang 001; Yao Zhao 001 (IEEE Trans. Multim., 2023)

Incorporating neuro-inspired adaptability for continual learning in artificial intelligence. - Liyuan Wang; Xingxing Zhang 001; Qian Li 040; Mingtian Zhang; Hang Su 006; Jun Zhu 001; Yi Zhong (Nat. Mac. Intell., 2023)

MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment. - Kanglei Zhou; Liyuan Wang; Xingxing Zhang 001; Hubert P. H. Shum; Frederick W. B. Li; Jianguo Li; Xiaohui Liang 001 (ECCV (11), 2024)

Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning. - Hengkai Tan; Songming Liu; Kai Ma; Chengyang Ying; Xingxing Zhang 001; Hang Su 006; Jun Zhu 001 (ICML, 2024)

CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment. - Kanglei Zhou; Junlin Li; Ruizhi Cai; Liyuan Wang; Xingxing Zhang 001; Xiaohui Liang 001 (IJCAI, 2024)

PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning. - Chengyang Ying; Zhongkai Hao; Xinning Zhou; Xuezhou Xu; Hang Su 006; Xingxing Zhang 001; Jun Zhu 001 (NeurIPS, 2024)

DualTeacher: Bridging Coexistence of Unlabelled Classes for Semi-supervised Incremental Object Detection. - Ziqi Yuan; Liyuan Wang; Wenbo Ding 004; Xingxing Zhang 001; Jiachen Zhong; Jianyong Ai; Jianmin Li 001; Jun Zhu 001 (CoRR, 2024)

ManiBox: Enhancing Spatial Grasping Generalization via Scalable Simulation Data Generation. - Hengkai Tan; Xuezhou Xu; Chengyang Ying; Xinyi Mao; Songming Liu; Xingxing Zhang 001; Hang Su 006; Jun Zhu 001 (CoRR, 2024)

To Boost Zero-Shot Generalization for Embodied Reasoning With Vision-Language Pre-Training. - Ke Su; Xingxing Zhang 001; Siyang Zhang; Jun Zhu 001; Bo Zhang 010 (IEEE Trans. Image Process., 2024)

ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries. - Xingxing Zhang 001; Shupeng Gui; Jian Jin; Zhenfeng Zhu; Yao Zhao 001 (IEEE Trans. Multim., 2024)

A Comprehensive Survey of Continual Learning: Theory, Method and Application. - Liyuan Wang; Xingxing Zhang 001; Hang Su 006; Jun Zhu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

RobustPrompt: Learning to defend against adversarial attacks with adaptive visual prompts. - Chang Liu 077; Wenzhao Xiang 001; Yinpeng Dong; Xingxing Zhang 001; Liyuan Wang; Ranjie Duan; Shibao Zheng; Hang Su 006 (Pattern Recognit. Lett., 2025)

PHI: Bridging Domain Shift in Long-Term Action Quality Assessment via Progressive Hierarchical Instruction. - Kanglei Zhou; Hubert P. H. Shum; Frederick W. B. Li; Xingxing Zhang 001; Xiaohui Liang 001 (IEEE Trans. Image Process., 2025)

HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning. - Liyuan Wang; Jingyi Xie; Xingxing Zhang 001; Hang Su 006; Jun Zhu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)