{"id":7,"date":"2025-01-16T18:29:07","date_gmt":"2025-01-16T18:29:07","guid":{"rendered":"https:\/\/wp.lancs.ac.uk\/vl\/?page_id=7"},"modified":"2026-04-30T23:02:07","modified_gmt":"2026-04-30T23:02:07","slug":"publication","status":"publish","type":"page","link":"https:\/\/wp.lancs.ac.uk\/vl\/publication\/","title":{"rendered":"Publication"},"content":{"rendered":"
Google Scholar<\/span><\/a><\/div>\n

Selected Publications<\/span><\/strong><\/p>\n

    \n
  1. \n

    Qiuchi Xiang, Haoxuan Qu, Hossein Rahmani, Jun Liu, New Wide-Net-Casting Jailbreak Attacks Risk Large Models, International Conference on Machine Learning (ICML), 2026.<\/p>\n<\/li>\n

  2. \n

    Jianzhou Wang, Yirui Wu, Lixin Yuan, Wenxiao Zhang, Jun Liu, Beyond Sample-Level Forgetting: Improving Reliability in Multimodal Unlearning, International Conference on Machine Learning (ICML), 2026.<\/p>\n<\/li>\n

  3. \n

    Yanan Liu, Anqi Zhu, Jingmin Zhu, Jun Liu, Hossein Rahmani, Mohammed Bennamoun, Farid Boussaid, Dan Xu, Qiuhong Ke, SkelHCC: A Hyperbolic CLIP-Driven Cache Adaptation Framework for Skeleton-based One-Shot Action Recognition, International Conference on Machine Learning (ICML), 2026.<\/p>\n<\/li>\n

  4. \n

    Longyu Yang, Jun Liu, Yap-Peng Tan, Fumin Shen, Heng Tao Shen, Xiaofeng Zhu, Ping Hu, Counterfactual Occlusion-Aware Learning via Visibility Intervention for LiDAR Anomaly Detection, International Conference on Machine Learning (ICML), 2026.<\/p>\n<\/li>\n

  5. \n

    Ming Wang, Haoxuan Qu, Qiuhong Ke, Wei Zhou, Hossein Rahmani, Jun Liu, Translating Signals to Languages for sEMG-Based Activity Recognition, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2026.<\/span><\/p>\n<\/li>\n

  6. \n

    Zhuoling Li, Hossein Rahmani, Jiarui Zhang, Yu Xue, Majid Mirmehdi, Jason Kuen, Jiuxiang Gu, Jun Liu, DiffGraph: An Automated Agent-driven Model Merging Framework for In-the-Wild Text-to-Image Generation, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2026.<\/span><\/p>\n<\/li>\n

  7. \n

    Junzhe Li, Sifan Zhou, Liya Guo, Xuerui Qiu, Linrui Xu, Delin Qu, Tingting Long, Chun Fan, Ming Li, Hehe Fan, Jun Liu, Shuicheng Yan, UniF2<\/sup>ace: A Unified Fine-grained Face Understanding and Generation Model, International Conference on Learning Representations (ICLR), 2026.<\/p>\n<\/li>\n

  8. \n

    Honghao Fu, Miao Xu, Yiwei Wang, Dailing Zhang, Jun Liu, Yujun Cai, VideoStir: Understanding Long Videos via Spatio-Temporally Structured and Intent-Aware RAG, Annual Meeting of the Association for Computational Linguistics (ACL), 2026.<\/p>\n<\/li>\n

  9. \n

    Yuhang Xia, Cheng Zhen, Yirui Wu, Lixin Yuan, Wenxiao Zhang, Jun Liu, Disentangled Knowledge Forgetting in Machine Unlearning, International Joint Conference on Artificial Intelligence (IJCAI), 2026.<\/p>\n<\/li>\n

  10. \n

    Duo Peng, Zhengbo Zhang, Ping Hu, Qiuhong Ke, De Wen Soh, Mohammed Bennamoun, Jun Liu, Unleashing the Power of Text-to-Image Diffusion Models for Category-Agnostic Pose Estimation, <\/span>IEEE Transactions on Pattern Analysis and Machine Intelligence (<\/span>TPAMI<\/span>), 2026.<\/span><\/p>\n<\/li>\n

  11. \n

    Jingmin Zhu, Anqi Zhu, James Bailey, Jun Liu, Hossein Rahmani, Mohammed Bennamoun, Farid Boussaid, Qiuhong Ke, DynaPURLS: Dynamic Refinement of Part-aware Representations for Skeleton-based Zero-Shot Action Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence (<\/span>TPAMI<\/span>), 2026.<\/span><\/span><\/p>\n<\/li>\n

  12. \n

    Haoxuan Qu, Qiuchi Xiang, Yujun Cai, Yirui Wu, Majid Mirmehdi, Hossein Rahmani, Jun Liu, Learning to Generate Cross-Task Unexploitable Examples, IEEE Transactions on Pattern Analysis and Machine Intelligence (<\/span>TPAMI<\/span>), (Revision).<\/span><\/p>\n<\/li>\n

  13. \n

    Haopeng Li, Andong Deng, Jun Liu, Hossein Rahmani, Yulan Guo, Bernt Schiele, Mohammed Bennamoun, Qiuhong Ke, Sports-QA: A Large-Scale Video Question Answering Benchmark for Complex and Professional Sports, International Journal of Computer Vision (IJCV), 2026.<\/p>\n<\/li>\n

  14. \n

    Xiaofei Hui, Qian Wu, Haoxuan Qu, Majid Mirmehdi, Hossein Rahmani, Jun Liu, When Visual Privacy Protection Meets Multimodal Large Language Models, International Journal of Computer Vision (<\/span>IJCV<\/span>), 2026.<\/span><\/p>\n<\/li>\n

  15. \n

    Mengyuan Liu, Zhichao Deng, Wanying Zhang, Ziyi Wang, Peiming Li, Jun Liu, PePNet: Pose-Enhanced Point Cloud Network for LiDAR-based Human Action Recognition in Outdoor Long-Range Scenarios, IEEE Transactions on Image Processing (TIP), (Revision).<\/p>\n<\/li>\n

  16. \n

    Jingmin Zhu, Anqi Zhu, Hossein Rahmani, Jun Liu, Mohammed Bennamoun, Qiuhong Ke, Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation, Annual Conference on Neural Information Processing Systems (<\/span>NeurIPS<\/span>), 2025.<\/span><\/p>\n<\/li>\n

  17. \n

    Yi Zhang, Yushen Long, Liping Huang, Yun Ni, Xiaohong Wang, Jun Liu, Hierarchical Optimization via LLM-Guided Objective Evolution for Mobility-on-Demand Systems,\u00a0Annual Conference on Neural Information Processing Systems (<\/span>NeurIPS<\/span>), 2025.<\/span><\/p>\n<\/li>\n

  18. \n

    Xiaofei Hui, Haoxuan Qu, Ping Hu, Hossein Rahmani, Jun Liu, Boundary Probing for Input Privacy Protection When Using LMM Services, International Conference on Computer Vision (<\/span>ICCV<\/span>), 2025.<\/span><\/p>\n<\/li>\n

  19. \n

    Zhuoling Li, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Qiuhong Ke, Jun Liu, Hossein Rahmani, DiffIP: Representation Fingerprints for Robust IP Protection of Diffusion Models,\u00a0International Conference on Computer Vision (<\/span>ICCV<\/span>), 2025.<\/span><\/p>\n<\/li>\n

  20. \n

    Zhengbo Zhang, Lin Geng Foo, Hossein Rahmani, Jun Liu, De Wen Soh, Performing Defocus Deblurring by Modeling its Formation Process, International Conference on Computer Vision (<\/span>ICCV<\/span>), 2025.<\/span><\/p>\n<\/li>\n

  21. \n

    Ziyi Wang, Peiming Li, Hong Liu, Zhichao Deng, Can Wang, Jun Liu, Junsong Yuan, Mengyuan Liu, Recognizing Actions from Robotic View for Natural Human-Robot Interaction, International Conference on Computer Vision (<\/span>ICCV<\/span>), 2025.<\/span><\/p>\n<\/li>\n

  22. \n

    Xiaofei Hui, Haoxuan Qu, Hossein Rahmani, Jun Liu, An Image-like Diffusion Method for Human-Object Interaction Detection,\u00a0IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2025.<\/span><\/p>\n<\/li>\n

  23. \n

    Zhuoling Li, Hossein Rahmani, Qiuhong Ke, Jun Liu, LongDiff: Training-Free Long Video Generation in One Go,\u00a0IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2025.<\/span><\/p>\n<\/li>\n

  24. \n

    Lanyun Zhu, Tianrun Chen, Qianxiong Xu, Xuanyi Liu, Deyi Ji, Haiyang Wu, De Wen Soh, Jun Liu, POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2025.<\/span><\/p>\n<\/li>\n

  25. \n

    Shuyang Hao, Bryan Hooi, Jun Liu, Kai-Wei Chang, Zi Huang, Yujun Cai, Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models,\u00a0IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2025.\u00a0<\/span><\/p>\n<\/li>\n

  26. \n

    Longyu Yang, Ping Hu, Shangbo Yuan, Lu Zhang, Jun Liu, Heng Tao Shen, Xiaofeng Zhu, Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather,\u00a0IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2025. (Oral Paper)<\/span><\/p>\n<\/li>\n

  27. \n

    Yanlong Xu, Haoxuan Qu, Jun Liu, Wenxiao Zhang, Xun Yang, CMMLoc: Advancing Text-to-Point Cloud Localization with Cauchy-Mixture-Model Based Framework, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2025.<\/span><\/p>\n<\/li>\n

  28. \n

    Lixin Yuan, Yirui Wu, Wenxiao Zhang, Minglei yuan, Jun Liu, Stray Intrusive Outliers-Based Feature Selection on Intra-Class Asymmetric Instance Distribution or Multiple High-Density Clusters, International Conference on Machine Learning (ICML), 2025.<\/p>\n<\/li>\n

  29. \n

    Lanyun Zhu, Deyi Ji, Tianrun Chen, Haiyang Wu, De Wen Soh, Jun Liu, CPCF: A Cross-Prompt Contrastive Framework for Referring Multimodal Large Language Models, International Conference on Machine Learning (ICML), 2025.<\/p>\n<\/li>\n

  30. \n

    Shuyi Jiang, Qihao Zhao, Hossein Rahmani, De Wen Soh, Jun Liu, Na Zhao, GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians, International Conference on Learning Representations (<\/span>ICLR<\/span>), 2025.<\/span><\/p>\n<\/li>\n

  31. \n

    Xiao-Li Wang, Anqi Huang, Yongli Wang, Guanzhou Ke, Xiaobin Hong, Jun Liu, Global-Semantic Alignment Distillation for Partial Multi-view Classification, AAAI Conference on Artificial Intelligence (<\/span>AAAI<\/span>), 2025.<\/span><\/p>\n<\/li>\n

  32. \n

    Yirui Wu, Yuhang Xia, Hao Li, Lixin Yuan, Junyang Chen, Jun Liu, Tong Lu, Shaohua Wan, Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation,\u00a0<\/span>AAAI Conference on Artificial Intelligence (<\/span>AAAI<\/span>), 2025.<\/span><\/p>\n<\/li>\n

  33. \n

    Shuanglin Yan,\u00a0 Jun Liu, Neng Dong, Liyan Zhang, Jinhui Tang, Cross-modal Collaborative Representation Learning for Text-to-Image Person Retrieval, International Joint Conference on Artificial Intelligence (IJCAI), 2025.<\/p>\n<\/li>\n

  34. \n

    Jianzhou Wang, Yirui Wu, Lixin Yuan, Wenxiao Zhang, Jun Liu, Junyang Chen, Huan Wang, Wenhai Wang, Diffuse&Refine: Intrinsic Knowledge Generation and Aggregation for Incremental Object Detection, International Joint Conference on Artificial Intelligence (IJCAI), 2025.<\/p>\n<\/li>\n

  35. \n

    Shuyang Hao, Yiwei Wang, Bryan Hooi, Jun Liu, Muhao Chen, Zi Huang, Yujun Cai, Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization, Findings of <\/span>Empirical Methods in Natural Language Processing (EMNLP), 2025.<\/span><\/p>\n<\/li>\n

  36. \n

    Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, De Wen Soh, Jun Liu, Replay Master: Automatic Sample Selection and Effective Memory Utilization for Continual Semantic Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence (<\/span>TPAMI<\/span>), 2025.<\/span><\/p>\n<\/li>\n

  37. \n

    Duo Peng, Qiuhong Ke, Mark He Huang, Ping Hu, Jun Liu, Unified Prompt Attack Against Text-to-Image Generation Models, IEEE Transactions on Pattern Analysis and Machine Intelligence (<\/span>TPAMI<\/span>), 2025.<\/span><\/p>\n<\/li>\n

  38. \n

    Lanyun Zhu, Tianrun Chen, Deyi Ji, Peng Xu, Jieping Ye, Jun Liu, LLaFS++: Few-Shot Image Segmentation with Large Language Models, IEEE Transactions on Pattern Analysis and Machine Intelligence (<\/span>TPAMI<\/span>), 2025.<\/span><\/p>\n<\/li>\n

  39. \n

    Chenyang Qiu, Guoshun Nan, Hongrui Xia, Mingwei Wang, Zheng Weng, Xueting Wang, Meng Shen, Xiaofeng Tao, Jun Liu, Disentangled Dynamic Intrusion Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence (<\/span>TPAMI<\/span>), 2025.<\/span><\/p>\n<\/li>\n

  40. \n

    Xiaorui Sun, Jun Liu, Heng Tao Shen, Xiaofeng Zhu, Ping Hu, On Efficient Variants of Segment Anything Model: A Survey, International Journal of Computer Vision (<\/span>IJCV<\/span>), 2025.<\/span><\/p>\n<\/li>\n

  41. \n

    Lanyun Zhu, Tianrun Chen, Deyi Ji, Jieping Ye, Jun Liu, Not Every Patch is Needed: Towards a More Efficient and Effective Backbone for Video-based Person Re-identification, IEEE Transactions on Image Processing (TIP), 2025.<\/p>\n<\/li>\n

  42. \n

    Mingqi Lu, Xiaobo Lu, Jun Liu, Momentum Contrastive Teacher for Semi-Supervised Skeleton Action Recognition, IEEE Transactions on Image Processing (TIP), 2025.<\/p>\n<\/li>\n

  43. \n

    Jun Wan, Min Gan, Lefei Zhang, Jie Zhou, Jun Liu, Bo Du, C. L. Philip Chen, Fine-Grained Image Captioning by Ranking Diffusion Transformer, IEEE Transactions on Image Processing (TIP), 2025.<\/p>\n<\/li>\n

  44. \n

    Ziyuan Luo, Jun Liu, Haoliang Li, Anderson Rocha, Renjie Wan, MantleMark: Migrating Watermarks from Multi-View Images to Radiance Fields via Frequency Modulation, IEEE Transactions on Information Forensics and Security (TIFS), 2025.<\/p>\n<\/li>\n

  45. \n

    Wenxiao Zhang, Hossein Rahmani, Jun Liu, Unpaired 3D Shape-to-Shape Translation via Gradient-Guided Triplane Diffusion, IEEE Transactions on Visualization and Computer Graphics (TVCG), 2025.<\/p>\n<\/li>\n

  46. \n

    Lin Geng Foo, Hossein Rahmani, Jun Liu, AI-Generated Content (AIGC) for Various Data Modalities: A Survey, ACM Computing Surveys (CSUR), 2025.<\/span><\/p>\n<\/li>\n

  47. \n

    Lili Wei, Congyan Lang, Ziyi Chen, Tao Wang, Yidong Li, Jun Liu, Generated and Pseudo Content guided Prototype Refinement for Few-shot Point Cloud Segmentation,\u00a0<\/span>Annual Conference on Neural Information Processing Systems (<\/span>NeurIPS<\/span>), 2024. (<\/span>Spotlight Paper<\/span>)<\/span><\/p>\n<\/li>\n

  48. \n

    Haoxuan Qu, Zhuoling Li, Hossein Rahmani, Yujun Cai, Jun Liu, DisC-GS: Discontinuity-aware Gaussian Splatting,\u00a0<\/span>Annual Conference on Neural Information Processing Systems (<\/span>NeurIPS<\/span>), 202<\/span>4<\/span>.<\/span><\/p>\n<\/li>\n

  49. \n

    Duo Peng, Zhengbo Zhang, Ping Hu, Qiuhong Ke, David Yau, Jun Liu, Harnessing Text-to-Image Diffusion Models for Category-Agnostic Pose Estimation, European Conference on Computer Vision (<\/span>ECCV<\/span>), 2024.\u00a0<\/span>(<\/span>Oral Paper<\/span>)<\/span><\/p>\n<\/li>\n

  50. \n

    Pengfei Wang, Xiaofei Hui, Jing Wu, Zile Yang, Kian Eng Ong, Xinge Zhao, Beijia Lu, Dezhao Huang, Evan Ling, Weiling Chen, Keng Teck Ma, Minhoe Hur, Jun Liu, SemTrack: A Large-scale Dataset for Semantic Tracking in the Wild, European Conference on Computer Vision (<\/span>ECCV<\/span>), 2024.<\/span><\/p>\n<\/li>\n

  51. \n

    Zhengbo Zhang, Li Xu, Duo Peng, Hossein Rahmani, Jun Liu, Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers, European Conference on Computer Vision (<\/span>ECCV<\/span>), 2024.<\/span><\/p>\n<\/li>\n

  52. \n

    Qichen Zheng, Yi Yu, Siyuan Yang, Jun Liu, Kwok-Yan Lam, Alex Kot, Towards Physical World Backdoor Attacks against Skeleton Action Recognition, European Conference on Computer Vision (<\/span>ECCV<\/span>), 2024.<\/span><\/p>\n<\/li>\n

  53. \n

    Mark He Huang, Lin Geng Foo, Jun Liu, Learning to Unlearn for Robust Machine Unlearning, European Conference on Computer Vision (<\/span>ECCV<\/span>), 2024.<\/span><\/p>\n<\/li>\n

  54. \n

    Qihao Zhao, Yalun Dai, Shen Lin, Wei Hu, Fan Zhang, Jun Liu, LTRL: Boosting Long-tail Recognition via Reflective Learning, European Conference on Computer Vision (<\/span>ECCV<\/span>), 2024.\u00a0<\/span>(<\/span>Oral Paper<\/span>)<\/span><\/p>\n<\/li>\n

  55. \n

    Xiaofei Hui, Qian Wu, Hossein Rahmani, Jun Liu, Class-Agnostic Object Counting with Text-to-Image Diffusion Model, European Conference on Computer Vision (<\/span>ECCV<\/span>), 2024.<\/span><\/p>\n<\/li>\n

  56. \n

    Duo Peng, Qiuhong Ke, Jun Liu, UPAM: Unified Prompt Attack in Text-to-Image Generation Models Against Both Textual Filters and Visual Checkers, International Conference on Machine Learning (<\/span>ICML<\/span>), 2024.<\/span><\/p>\n<\/li>\n

  57. \n

    Li Xu, Haoxuan Qu, Yujun Cai, Jun Liu, 6D-Diff: A Keypoint Diffusion Framework for 6D Object Pose Estimation, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2024.<\/span><\/p>\n<\/li>\n

  58. \n

    Lanyun Zhu, Tianrun Chen, Deyi Ji, Jieping Ye, Jun Liu, LLaFS: When Large-Language Models Meet Few-Shot Segmentation, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2024.<\/span><\/p>\n<\/li>\n

  59. \n

    Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Jun Liu, Action Detection via an Image Diffusion Process, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2024.<\/span><\/p>\n<\/li>\n

  60. \n

    Jia Gong, Lin Geng Foo, Yixuan He, Hossein Rahmani, Jun Liu, LLMs are Good Sign Language Translators, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2024.<\/span><\/p>\n<\/li>\n

  61. \n

    Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu, Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2024.<\/span><\/p>\n<\/li>\n

  62. \n

    Haoxuan Qu, Yujun Cai, Jun Liu, LLMs are Good Action Recognizers, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2024.<\/span><\/p>\n<\/li>\n

  63. \n

    Qihao Zhao, Yalun Dai, Hao Li, Wei Hu, Fan Zhang, Jun Liu, LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2024. (<\/span>Oral Paper<\/span>)<\/span><\/p>\n<\/li>\n

  64. \n

    Siyang Dai, Jun Liu, Ngai-Man Cheung, Referring Expression Counting, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2024. (<\/span>Highlight Paper<\/span>)<\/span><\/p>\n<\/li>\n

  65. \n

    Zixuan Hu, Xiaotong Li, Shixiang Tang, Jun Liu, Yichun Hu, Lingyu Duan, LEAD: Exploring Logit Space Evolution for Model Selection, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2024.<\/span><\/p>\n<\/li>\n

  66. \n

    Cong Wang, Jinshan Pan, Wei Wang, Gang Fu, Siyuan Liang, Mengzhu Wang, Xiao-Ming Wu, Jun Liu, Correlation Matching Transformation Transformers for UHD Image Restoration, AAAI Conference on Artificial Intelligence (<\/span>AAAI<\/span>), 2024.<\/span><\/p>\n<\/li>\n

  67. \n

    Siyuan Yang, Jun Liu, Shijian Lu, Er Meng Hwa, Yongjian Hu, Alex C. Kot, Self-Supervised 3D Action Representation Learning with Skeleton Cloud Colorization, IEEE Transactions on Pattern Analysis and Machine Intelligence (<\/span>TPAMI<\/span>), 2024.<\/span><\/p>\n<\/li>\n

  68. \n

    Siyuan Yang, Jun Liu, Shijian Lu, Er Meng Hwa, Alex C. Kot, One-Shot Action Recognition via Multi-Scale Spatial-Temporal Skeleton Matching, IEEE Transactions on Pattern Analysis and Machine Intelligence (<\/span>TPAMI<\/span>), 2024.<\/span><\/p>\n<\/li>\n

  69. \n

    Lei Wang, Jun Liu, Liang Zheng, Tom Gedeon, Piotr Koniusz, Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment, International Journal of Computer Vision (<\/span>IJCV<\/span>), 2024.<\/span><\/p>\n<\/li>\n

  70. \n

    Yongxing Dai, Yifan Sun, Jun Liu, Zekun Tong, Ling-Yu Duan, Bridging the Source-to-target Gap for Cross-domain Person Re-Identification with Intermediate Domains, International Journal of Computer Vision (<\/span>IJCV<\/span>), 2024.<\/span><\/p>\n<\/li>\n

  71. \n

    Duo Peng, Qiuhong Ke, ArulMurugan Ambikapathi, Yasin Yazici, Yinjie Lei, Jun Liu, Unsupervised Domain Adaptation via Domain-Adaptive Diffusion, IEEE Transactions on Image Processing (TIP), 2024.<\/p>\n<\/li>\n

  72. \n

    Yang Liu, Dingkang Yang, Yan Wang, Jing Liu, Jun Liu, Azzedine Boukerche, Peng Sun, Liang Song, Generalized video anomaly event detection: Systematic taxonomy and comparison of deep models, ACM Computing Surveys (CSUR), 2024.<\/p>\n<\/li>\n

  73. \n

    Haoxuan Qu, Xiaofei Hui, Yujun Cai, Jun Liu, LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition, Annual Conference on Neural Information Processing Systems (<\/span>NeurIPS<\/span>), 2023.<\/span><\/p>\n<\/li>\n

  74. \n

    Duo Peng, Li Xu, Qiuhong Ke, Ping Hu, Jun Liu, Joint Attribute and Model Generalization Learning for Privacy-Preserving Action Recognition, Annual Conference on Neural Information Processing Systems (<\/span>NeurIPS<\/span>), 2023.<\/span><\/p>\n<\/li>\n

  75. \n

    Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu, Learning Gabor Texture Features for Fine-Grained Recognition, International Conference on Computer Vision (<\/span>ICCV<\/span>), 2023.<\/span><\/p>\n<\/li>\n

  76. \n

    Qihao Zhao, Chen Jiang, Wei Hu, Fan Zhang, Jun Liu, MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition, International Conference on Computer Vision (<\/span>ICCV<\/span>), 2023.<\/span><\/p>\n<\/li>\n

  77. \n

    Lin Geng Foo, Jia Gong, Hossein Rahmani, Jun Liu, Distribution-Aligned Diffusion for Human Mesh Recovery, International Conference on Computer Vision (<\/span>ICCV<\/span>), 2023.<\/span><\/p>\n<\/li>\n

  78. \n

    Kian Eng Ong, Xun Long Ng, Wenjie Ai, Yanchao Li, Kuangyi Zhao, Si Yong Yeo, Jun Liu, Chaotic World: A Large and Challenging Benchmark for Human Behavior Understanding in Chaotic Events, International Conference on Computer Vision (<\/span>ICCV<\/span>), 2023.<\/span><\/p>\n<\/li>\n

  79. \n

    Duo Peng, Ping Hu, Qiuhong Ke, Jun Liu, Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation, International Conference on Computer Vision (<\/span>ICCV<\/span>), 2023.<\/span><\/p>\n<\/li>\n

  80. \n

    Rui Li, Baopeng Zhang, Jun Liu, Wei Liu, Jian Zhao, Zhu Teng, Heterogeneous Diversity Driven Active Learning for Multi-object Tracking, International Conference on Computer Vision (<\/span>ICCV<\/span>), 2023.<\/span><\/p>\n<\/li>\n

  81. \n

    Ming Li, Xiangyu Xu, Hehe Fan, Pan Zhou, Jun Liu et al., STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition, International Conference on Computer Vision (<\/span>ICCV<\/span>), 2023.<\/span><\/p>\n<\/li>\n

  82. \n

    Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu, Continual Semantic Segmentation with Automatic Memory Sample Selection, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2023.<\/span><\/p>\n<\/li>\n

  83. \n

    Li Xu, Mark He Huang, Xindi Shang, Zehuan Yuan, Ying Sun, Jun Liu, Meta Compositional Referring Expression Segmentation, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2023.<\/span><\/p>\n<\/li>\n

  84. \n

    Tianjiao Li, Lin Geng Foo, Ping Hu, Xindi Shang, Hossein Rahmani, Zehuan Yuan, Jun Liu, Token Boosting for Robust Self-Supervised Visual Transformer Pre-training, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2023.<\/span><\/p>\n<\/li>\n

  85. \n

    Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Qiuhong Ke, Jun Liu, Unified Pose Sequence Modeling, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2023.<\/span><\/p>\n<\/li>\n

  86. \n

    Jia Gong, Lin Geng Foo, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, Jun Liu, DiffPose: Toward More Reliable 3D Pose Estimation, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2023.<\/span><\/p>\n<\/li>\n

  87. \n

    Lin Geng Foo, Jia Gong, Zhipeng Fan, Jun Liu, System-status-aware Adaptive Network for Online Streaming Video Understanding, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2023.<\/span><\/p>\n<\/li>\n

  88. \n

    Haoxuan Qu, Yujun Cai, Lin Geng Foo, Ajay Kumar, Jun Liu, A Characteristic Function-based Method for Bottom-up Human Pose Estimation, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2023.<\/span><\/p>\n<\/li>\n

  89. \n

    Qihao Zhao, Yangyu Huang, Wei Hu, Fan Zhang, Jun Liu, MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer, International Conference on Learning Representations (<\/span>ICLR<\/span>), 2023.<\/span><\/p>\n<\/li>\n

  90. \n

    Jianhong Pan, Lin Geng Foo, Qichen Zheng, Zhipeng Fan, Hossein Rahmani, Qiuhong Ke, Jun Liu, GradMDM: Adversarial Attack on Dynamic Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence (<\/span>TPAMI<\/span>), 2023. (<\/span>PREMIA Best Student Papers<\/span>)<\/span><\/p>\n<\/li>\n

  91. \n

    Zehua Sun, Qiuhong Ke, Hossein Rahmani, Mohammed Bennamoun, Gang Wang, Jun Liu, Human Action Recognition from Various Data Modalities: A Review, IEEE Transactions on Pattern Analysis and Machine Intelligence (<\/span>TPAMI<\/span>), 2023.<\/span><\/p>\n<\/li>\n

  92. \n

    Haoxuan Qu, Lin Geng Foo, Yanchao Li, Jun Liu, Towards More Reliable Confidence Estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence (<\/span>TPAMI<\/span>), 2023.<\/span><\/p>\n<\/li>\n

  93. \n

    Zhiheng Li, Xuyuan Gong, Ran Song, Peng Duan, Jun Liu, Wei Zhang, SMAM: Self and Mutual Adaptive Matching for Skeleton-Based Few-Shot Action Recognition, IEEE Transactions on Image Processing (TIP), 2023.<\/p>\n<\/li>\n

  94. \n

    Jun Wan, Jun Liu, Jie Zhou, Zhihui Lai, Linlin Shen, Hang Sun, Ping Xiong, Precise Facial Landmark Detection by Reference Heatmap Transformer, IEEE Transactions on Image Processing (TIP), 2023.<\/p>\n<\/li>\n

  95. \n

    Rui Li, Baopeng Zhang, Jun Liu, Wei Liu, and Zhu Teng, Inference-domain Network Evolution: A New Perspective for One-shot Multi-object Tracking, IEEE Transactions on Image Processing (TIP), 2023.<\/p>\n<\/li>\n

  96. \n

    Li Xu, Jun Liu, Experts Collaboration Learning for Continual Multi-modal Reasoning, IEEE Transactions on Image Processing (TIP), 2023.<\/p>\n<\/li>\n

  97. \n

    Shengjing Tian, Jun Liu, Xiuping Liu, Towards Class-agnostic Tracking Using Feature Decorrelation in Point Clouds, IEEE Transactions on Image Processing (TIP), 2023.<\/p>\n<\/li>\n

  98. \n

    Haoxuan Qu, Li Xu, Yujun Cai, Lin Geng Foo, Jun Liu, Heatmap Distribution Matching for Human Pose Estimation, Annual Conference on Neural Information Processing Systems (<\/span>NeurIPS<\/span>), 2022. (<\/span>Spotlight Paper, PREMIA Best Student Paper<\/span>)<\/span><\/p>\n<\/li>\n

  99. \n

    Li Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu, Meta Spatio-Temporal Debiasing for Video Scene Graph Generation, European Conference on Computer Vision (<\/span>ECCV<\/span>), 2022.<\/span><\/p>\n<\/li>\n

  100. \n

    Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Qiuhong Ke, Jun Liu, ERA: Expert Retrieval and Assembly for Early Action Prediction, European Conference on Computer Vision (<\/span>ECCV<\/span>), 2022.<\/span><\/p>\n<\/li>\n

  101. \n

    Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu, Improving the Reliability for Confidence Estimation, European Conference on Computer Vision (<\/span>ECCV<\/span>), 2022.<\/span><\/p>\n<\/li>\n

  102. \n

    Jianhong Pan, Qichen Zheng, Zhipeng Fan, Hossein Rahmani, Qiuhong Ke, Jun Liu, GradAuto: Energy-oriented Attack on Dynamic Neural Networks, European Conference on Computer Vision (<\/span>ECCV<\/span>), 2022.<\/span><\/p>\n<\/li>\n

  103. \n

    Tianjiao Li, Lin Geng Foo, Qiuhong Ke, Hossein Rahmani, Anran Wang, Jinghua Wang, Jun Liu, Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition, European Conference on Computer Vision (<\/span>ECCV<\/span>), 2022.<\/span><\/p>\n<\/li>\n

  104. \n

    Yunsheng Pang, Qiuhong Ke, Hossein Rahmani, James Bailey, Jun Liu, IGFormer: Interaction Graph Transformer for Skeleton-based Human Interaction Recognition, European Conference on Computer Vision (<\/span>ECCV<\/span>), 2022.<\/span><\/p>\n<\/li>\n

  105. \n

    Jia Gong, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, Jun Liu, Meta Agent Teaming Active Learning for Pose Estimation, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2022. (<\/span>Oral Paper<\/span>)<\/span><\/p>\n<\/li>\n

  106. \n

    Xun Long Ng, Kian Eng Ong, Qichen Zheng, Yun Ni, Si Yong Yeo, Jun Liu, Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2022. (<\/span>Oral Paper<\/span>,\u00a0<\/span>PREMIA Best Student Papers<\/span>)<\/span><\/p>\n<\/li>\n

  107. \n

    Xiaotong Li, Yongxing Dai, Yixiao Ge, Jun Liu, Ying Shan, Ling-Yu Duan, Uncertainty Modeling for Out-of-Distribution Generalization, International Conference on Learning Representations (<\/span>ICLR<\/span>), 2022.<\/span><\/p>\n<\/li>\n

  108. \n

    Xianzheng Ma, Hossein Rahmani, Zhipeng Fan, Bin Yang, Jun Chen, Jun Liu, REMOTE: Reinforced Motion Transformation Network for Semi-supervised 2D Pose Estimation in Videos, AAAI Conference on Artificial Intelligence (<\/span>AAAI<\/span>), 2022.<\/span><\/p>\n<\/li>\n

  109. \n

    Yan Bai, Jun Liu, Yihang Lou, Ce Wang, Ling-Yu Duan, Disentangled Feature Learning Network and a Comprehensive Benchmark for Vehicle Re-Identification, IEEE Transactions on Pattern Analysis and Machine Intelligence (<\/span>TPAMI<\/span>), 2022.<\/span><\/p>\n<\/li>\n

  110. \n

    Wenxiao Zhang, Huajian Zhou, Zhen Dong, Jun Liu, Qingan Yan, Chunxia Xiao, Point Cloud Completion Via Skeleton-Detail Transformer, IEEE Transactions on Visualization and Computer Graphics (TVCG), 2022.<\/p>\n<\/li>\n

  111. \n

    Zhipeng Fan, Jun Liu, Yao Wang, Motion Adaptive Pose Estimation from Compressed Videos, IEEE International Conference on Computer Vision (<\/span>ICCV<\/span>), 2021.\u00a0<\/span><\/p>\n<\/li>\n

  112. \n

    Yujun Cai, Yiwei Wang, Yiheng Zhu, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, et al., A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder, IEEE International Conference on Computer Vision (<\/span>ICCV<\/span>), 2021.\u00a0<\/span><\/p>\n<\/li>\n

  113. \n

    Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot, Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning, IEEE International Conference on Computer Vision (<\/span>ICCV<\/span>), 2021.\u00a0<\/span><\/p>\n<\/li>\n

  114. \n

    Tianjiao Li, Qiuhong Ke, Hossein Rahmani, Rui En Ho, Henghui Ding, Jun Liu, Else-Net: Elastic Semantic Network for Action Recognition from Skeleton Data, IEEE International Conference on Computer Vision (<\/span>ICCV<\/span>), 2021.\u00a0<\/span><\/p>\n<\/li>\n

  115. \n

    Yongxing Dai, Jun Liu, Yifan Sun, Zekun Tong, Chi Zhang, Lingyu Duan, IDM: Intermediate Domain Module for Domain Adaptive Person Re-ID, IEEE International Conference on Computer Vision (<\/span>ICCV<\/span>), 2021. (<\/span>Oral Paper<\/span>)<\/span><\/p>\n<\/li>\n

  116. \n

    Henghui Ding, Hui Zhang, Jun Liu, Jiaxin Li, Zijian Feng, Xudong Jiang, Interaction via Bi-directional Graph of Semantic Region Affinity for Scene Parsing, IEEE International Conference on Computer Vision (<\/span>ICCV<\/span>), 2021.\u00a0<\/span><\/p>\n<\/li>\n

  117. \n

    Li Xu, Mark He Huang, Jun Liu, SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2021.<\/span><\/p>\n<\/li>\n

  118. \n

    Guoshun Nan, Rui Qiao, Yao Xiao, Jun Liu, Sicong Leng, Hao Zhang, Wei Lu, Interventional Video Grounding with Dual Contrastive Learning, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2021.<\/span><\/p>\n<\/li>\n

  119. \n

    Tianjiao Li, Jun Liu, Wei Zhang, Yun Ni, Wenqian Wang, Zhiheng Li, UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2021.<\/span><\/p>\n<\/li>\n

  120. \n

    Yan Bai, Jile Jiao, Ce Wang, Jun Liu, Yihang Lou, Xuetao Feng, Lingyu Duan, Person30K: A Dual-Meta Generalization Network for Person Re-Identification, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2021.<\/span><\/p>\n<\/li>\n

  121. \n

    Yongxing Dai, Xiaotong Li, Jun Liu, Zekun Tong, Lingyu Duan, Generalizable Person Re-identification with Relevance-aware Mixture of Experts, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2021.<\/span><\/p>\n<\/li>\n

  122. \n

    Jun Wan, Zhihui Lai, Jun Liu, Jie Zhou, Can Gao, Robust Face Alignment by Multi-order High-precision Hourglass Networks, IEEE Transactions on Image Processing (TIP), 2021.<\/p>\n<\/li>\n

  123. \n

    Yan Bai, Ce Wang, Yihang Lou, Jun Liu, Lingyu Duan, Hierarchical Connectivity-Centered Clustering for Unsupervised Domain Adaptation on Person Re-Identification, IEEE Transactions on Image Processing (TIP), 2021.<\/p>\n<\/li>\n

  124. \n

    Duo Peng, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jun Liu, Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation, IEEE Transactions on Image Processing (TIP), 2021.<\/p>\n<\/li>\n

  125. \n

    Tianjiao Li, Wei Zhang, Ran Song, Zhiheng Li, Jun Liu, Xiaolei Li, and Shijian Lu, PoT-GAN: Pose Transform GAN for Person Image Synthesis, IEEE Transactions on Image Processing (TIP), 2021.<\/p>\n<\/li>\n

  126. \n

    Yongxing Dai, Jun Liu, Yan Bai, Zekun Tong, Lingyu Duan, Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification, IEEE Transactions on Image Processing (TIP), 2021.<\/p>\n<\/li>\n

  127. \n

    Tianjiao Li, Jun Liu, Wei Zhang, Lingyu Duan, HARD-Net: Hardness-AwaRe Discrimination Network for 3D Early Activity Prediction, European Conference on Computer Vision (<\/span>ECCV<\/span>), 2020.\u00a0<\/span><\/p>\n<\/li>\n

  128. \n

    Zhipeng Fan, Jun Liu, Yao Wang, Adaptive Computationally Efficient Network for Monocular 3D Hand Pose Estimation, European Conference on Computer Vision (<\/span>ECCV<\/span>), 2020. (<\/span>Spotlight Paper<\/span>)<\/span><\/p>\n<\/li>\n

  129. \n

    Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot, Collaborative Learning of Gesture Recognition and 3D Hand Pose Estimation with Multi-Order Feature Analysis, European Conference on Computer Vision (<\/span>ECCV<\/span>), 2020. (<\/span>Spotlight Paper<\/span>)<\/span><\/p>\n<\/li>\n

  130. \n

    Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, et al., Learning Progressive Joint Propagation for Human Motion Prediction, European Conference on Computer Vision (<\/span>ECCV<\/span>), 2020.\u00a0<\/span><\/p>\n<\/li>\n

  131. \n

    Yan Bai, Yihang Lou, Yongxing Dai, Jun Liu, Ziqian Chen, Lingyu Duan, Disentangled Feature Learning Network for Vehicle Re-Identification, International Joint Conference on Artificial Intelligence (<\/span>IJCAI<\/span>), 2020.<\/span><\/p>\n<\/li>\n

  132. \n

    Xiaohong Wang, Xudong Jiang, Henghui Ding, Jun Liu, Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation, IEEE Transactions on Image Processing (TIP), 2020.<\/p>\n<\/li>\n

  133. \n

    Yihang Lou, Yan Bai, Jun Liu, Shiqi Wang, Ling-Yu Duan, VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2019.<\/span><\/p>\n<\/li>\n

  134. \n

    Yujun Cai, Liuhao Ge, Jun Liu, Jianfei Cai, Tat-Jen Cham, Junsong Yuan, Nadia Magnenat Thalmann, Exploiting Spatial-temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks, IEEE International Conference on Computer Vision (<\/span>ICCV<\/span>), 2019.<\/span><\/p>\n<\/li>\n

  135. \n

    Jun Liu, Henghui Ding, Amir Shahroudy, Ling-Yu Duan, Xudong Jiang, Gang Wang, Alex C. Kot, Feature Boosting Network for 3D Pose Estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence (<\/span>TPAMI<\/span>), 2019.<\/span><\/p>\n<\/li>\n

  136. \n

    Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, Alex C. Kot, Skeleton-Based Online Action Prediction Using Scale Selection Network, IEEE Transactions on Pattern Analysis and Machine Intelligence (<\/span>TPAMI<\/span>), 2019. (<\/span>PREMIA Best Student Paper Silver Award<\/span>)<\/span><\/p>\n<\/li>\n

  137. \n

    Jun Liu, Amir Shahroudy, Mauricio Perez, Gang Wang, Ling-Yu Duan, and Alex C. Kot, NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding, IEEE Transactions on Pattern Analysis and Machine Intelligence (<\/span>TPAMI<\/span>), 2019.<\/span><\/p>\n<\/li>\n

  138. \n

    Yihang Lou, Yan Bai, Jun Liu, Shiqi Wang, Ling-Yu Duan, Embedding Adversarial Learning for Vehicle Re-Identification, IEEE Transactions on Image Processing (TIP), 2019.<\/p>\n<\/li>\n

  139. \n

    Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, Alex C. Kot, SSNet: Scale selection network for online 3D action prediction, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2018. (<\/span>Spotlight Paper<\/span>)<\/span><\/p>\n<\/li>\n

  140. \n

    Jun Liu, Gang Wang, Ping Hu, Ling-Yu Duan, Alex C. Kot, Global context-aware attention LSTM networks for 3D action recognition, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2017.<\/span><\/p>\n<\/li>\n

  141. \n

    Ping Hu, Bing Shuai, Jun Liu, Gang Wang, Deep level sets for salient object detection, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2017.<\/span><\/p>\n<\/li>\n

  142. \n

    Jun Liu, Amir Shahroudy, Dong Xu, Alex C. Kot, Gang Wang, Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates, IEEE Transactions on Pattern Analysis and Machine Intelligence (<\/span>TPAMI<\/span>), 2017.\u00a0<\/span><\/p>\n<\/li>\n

  143. \n

    Jun Liu, Gang Wang, Ling-Yu Duan, Kamila Abdiyeva, Alex C. Kot, Skeleton-Based Human Action Recognition with Global Context-Aware Attention LSTM Networks, IEEE Transactions on Image Processing (TIP), 2017.<\/p>\n<\/li>\n

  144. \n

    Jun Liu, Amir Shahroudy, Dong Xu, Gang Wang, Spatio-temporal LSTM with trust gates for 3D human action recognition, European Conference on Computer Vision (<\/span>ECCV<\/span>), 2016. (<\/span>PREMIA Best Student Paper Silver Award<\/span>)<\/span><\/p>\n<\/li>\n

  145. \n

    Amir Shahroudy, Jun Liu, Tian-Tsong Ng, Gang Wang, NTU RGB+D: A large scale dataset for 3D human activity analysis, IEEE Conference on Computer Vision and Pattern Recognition (<\/span>CVPR<\/span>), 2016.<\/span><\/p>\n<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

    Google Scholar Selected Publications Qiuchi Xiang, Haoxuan Qu, Hossein Rahmani, Jun Liu, New Wide-Net-Casting Jailbreak Attacks Risk Large Models, International Conference on Machine Learning (ICML), 2026. Jianzhou Wang, Yirui Wu, Lixin Yuan, Wenxiao Zhang, Jun Liu, Beyond Sample-Level Forgetting: Improving Reliability in Multimodal Unlearning, International Conference on Machine Learning (ICML), 2026. Yanan Liu, Anqi Zhu, […]<\/p>\n","protected":false},"author":1888,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-7","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/wp.lancs.ac.uk\/vl\/wp-json\/wp\/v2\/pages\/7","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.lancs.ac.uk\/vl\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.lancs.ac.uk\/vl\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/vl\/wp-json\/wp\/v2\/users\/1888"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/vl\/wp-json\/wp\/v2\/comments?post=7"}],"version-history":[{"count":61,"href":"https:\/\/wp.lancs.ac.uk\/vl\/wp-json\/wp\/v2\/pages\/7\/revisions"}],"predecessor-version":[{"id":293,"href":"https:\/\/wp.lancs.ac.uk\/vl\/wp-json\/wp\/v2\/pages\/7\/revisions\/293"}],"wp:attachment":[{"href":"https:\/\/wp.lancs.ac.uk\/vl\/wp-json\/wp\/v2\/media?parent=7"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}