SELECTED PUBLICATIONS

Refereed Journal Papers:

  1. Dexuan He, Xiao Zhou, Wenbin Guan, Liyuan Zhang, Xiaoman Zhang, Sinuo Xu, Ge Wang, Lifeng Wang, Xiaojun Yuan, Jing Ma, Xin Sun, Yanfeng Wang, Kun Sun, Ya Zhang, Weidi Xie, "Boosting pathology foundation models via few-shot prompt-tuning for rare cancer subtyping", Nature Communications, 2026.
  2. W. Zhao, C. Wu, Y. Fan, P. Qiu, X. Zhang, Y. Sun, X. Zhou, S. Zhang, Y. Peng, Y. Wang, X. Sun, Y. Zhang*, Y. Yu*, K. Sun*, W. Xie*, "An agentic system for rare disease diagnosis with traceable reasoning", Nature, 2026.
  3. Xiao Zhou, Luoyi Sun, Dexuan He, Wenbin Guan, Ge Wang, Ruifen Wang, Lifeng Wang, Xiaojun Yuan, Xin Sun, Ya Zhang*, Kun Sun*, Yanfeng Wang*, Weidi Xie*, Knowledge-enhanced pretraining for vision-language pathology foundation model on cancer diagnosis, Cancer Cell, 2026.
  4. F. Zhang, T. Zhou, J. Yao*, Y. Zhang*, I.W. Tsang, Y. Wang, "Decouple before align: Visual disentanglement enhances prompt tuning", IEEE Transactions on Pattern Analysis and Machine Intelligence, early access.
  5. B. Fei, J. Wang, L. Bai, K. Liu, X. Xu, W. Yang, Y. Zhang, Y. He, D. Lin, Z. Lyu, B. Dai, "GetMesh: A Controllable Model for High-quality Mesh Generation and Manipulation", IEEE Transactions on Pattern Analysis and Machine Intelligence, early access.
  6. P. Qiu, C. Wu, S. Liu, Y. Fan, W. Zhao, Z. Chen, H. Gu, C. Peng, Y. Zhang, Y. Wang, W. Xie, "Quantifying the reasoning abilities of LLMs on clinical cases", Nature Communications, volume 16, Article number: 9799, 2025.
  7. Z. Zhao, Y. Zhang, C. Wu, X. Zhang, X. Zhou, Y. Zhang, Y. Wang, W. Xie, "Large-vocabulary segmentation for medical images with text prompts", NPJ Digital Medicine 8 (1), 566, 2025.
  8. C. Wu, X. Zhang, Y. Zhang, H. Hui, Y. Wang, W. Xie, "Towards generalist foundation model for radiology by leveraging web-scale 2d&3d medical data", Nature Communications 16 (1), 7866, 2025.
  9. X. Zhang, C. Wu, Z. Zhao, J. Lei, W. Tian, Y. Zhang, W. Xie, Y. Wang, "Development of a large-scale grounded vision language dataset for chest CT analysis", Scientific Data 12 (1), 1636, 2025.
  10. C. Huang, H. Guan, A. Jiang, M. Spratling, X. Wang, Y. Zhang*, Y. Wang*, "Few-Shot Anomaly Detection via Category-Agnostic Registration Learning", IEEE Transactions on Neural Network and Learning Systems (TNNLS), 36(7):13527-13541, 2025.
  11. R. Jiao, Q. Liu, Y. Zhang, B. Pu, B. Xue, Y. Cheng, K. Yang, X. Liu, J. Qu, C. Jin, Y. Zhang*, Y. Wang, Y.-D. Zhang*, "RECISTSurv: Hybrid Multi-Task Transformer for Hepatocellular Carcinoma Response and Survival Evaluation", IEEE Transactions on Image Processing (TIP), 34, pp. 3873 - 3888.
  12. C. Wu, P. Qiu, J. Liu, H, Gu, N. Li, Y. Zhang, Y. Wang, W. Xie, "Towards Evaluating and Building Versatile Large Language Models for Medicine", NPJ Digital Medicine, 2025.
  13. J. Wang, Z. Lyu, B. Fei, J. Yao, Y. Zhang, B. Dai, D. Lin, Y. He, Y. Wang, "SLIDE: A Unified Mesh and Texture Generation Framework with Enhanced Geometric Control and Multi-view Consistency", International Journal of Computer Vision, 2024.
  14. X. Zhang, C. Wu, Z. Zhao, W. Lin, Y. Zhang, Y. Wang*, W. Xie*, "Development of a large-scale medical visual question-answering dataset", Communications Medicine, 4, Article number: 277, 2024.
  15. Q. Zheng#, W. Zhao#, C. Wu#, X. Zhang, L. Dai, H. Guan, Y. Li, Y. Zhang, Y. Wang*, W. Xie*, "Large-scale Long-tailed Disease Diagnosis on Radiology Images", Nature Communications, volume 15, Article number: 10147, 2024.
  16. S. Hu, L. Shen, Y. Zhang, Y. Chen, D. Tao, "On Transforming Reinforcement Learning With Transformers: The Development Trajectory", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 46(12):8580-8599, 2024.
  17. L. Dai, J. Lei, F. Ma, Z. Sun, H. Du, H. Zhang, J. Jiang, J. Wei, D. Wang, G. Tan, X. Song, J. Zhu, Q. Zhao, S. Ai, A. Shang, Z. Li, Y. Zhang, Y. Li, "Boosting Deep Learning for Interpretable Brain MRI Lesion Detection through the Integration of Radiology Report Information", Radiology: Artificial Intelligence, Vol. 6, No. 6, 2024.
  18. P. Qiu#, C. Wu#, X. Zhang, W. Lin, H. Wang, Y. Zhang, Y. Wang*, W. Xie*, "Towards Building Multilingual Language Model for Medicine", Nature Communications, volume 15, Article number: 8384, 2024.
  19. Y. Yang, C. Ma, C. Ju, F. Zhang, J. Yao*, Y. Zhang, Y. Wang, "Multi-modal Prototypes for Open-World Semantic Segmentation", International Journal of Computer Vision, 2024.
  20. C. Wu#, W. Lin#, X. Zhang, Y. Zhang, Weidi Xie, Y. Wang*, "PMC-LLaMA: Towards Building Open-source Language Models for Medicine", Journal of the American Medical Informatics Association, 31(9):1833-1843, 2024.
  21. Y. Zhou, J. Yao, F. Hong, Y. Zhang, Y. Wang, "Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental Learning", IEEE Transactions on Image Processing (TIP), 33: 4966-4981, 2024.
  22. T. Dai, R. Zhang, F. Hong, J. Yao*, Y. Zhang, Y. Wang*, "UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification", IEEE Transactions on Medical Imaging, 43(8):2901-2912, 2024.
  23. M. Li, S. Chen*, Y. Shen, G. Liu, I. Tsang, Y. Zhang*, "Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Networks", IEEE Transactions on Neural Networks and Learning Systems, 35(4):4768-4782, 2024. (ESI highly cited paper).
  24. Q. Xu, R. Zhang, Y. Zhang*, Y. Wu. Y. Wang, "Federated Adversarial Domain Hallucination for Privacy-preserving Domain Generalization", IEEE Transactions on Multimedia, 26:1-14, 2024.
  25. X. Chen, Y. Pan, I. Tsang, Y. Zhang*, "Learning node representations against perturbations", Pattern Recognition, Volume 145, Article 109976, 2024.
  26. Z. Fan, J. Yao*, R. Zhang, L. Lyu, Y. Wang*, Y. Zhang, "Federated Learning under Partially Disjoint Data via Manifold Reshaping", Transactions on Machine Learning Research, 2023.
  27. H. Zheng, X. Chen, J. Yao, H. Yang, C. Li, Y. Zhang, H. Zhang, I. Tsang, J. Zhou, M. Zhou, "Contrastive Attraction and Contrastive Repulsion for Representation Learning", Transactions on Machine Learning Research, 2023.
  28. X. Zhang, C. Wu, Y. Zhang, W. Xie*, Y. Wang*, "Knowledge-enhanced visual-language pre-training on chest radiology images", Nature Communications, volume 14, Article number: 4542, 2023.
  29. W. Mai, J. Yao, G. Chen, Y. Zhang, Y.M. Cheung, B. Han, Server-client collaborative distillation for federated reinforcement learning", ACM Transactions on Knowledge Discovery from Data 18 (1), 1-22, 2023.
  30. B. Liu#, Y. Jin#, S. Feng, H. Yu, Y. Zhang, Y. Li*, "Benign vs malignant vertebral compression fractures with MRI: a comparison between automatic deep learning network and radiologist’s assessment", European Radiology, 33(7):5060-5068, 2023.
  31. B. Tang, Y. Zhong, C. Xu, W. Wu, U. Neumann, Y. Zhang, S. Chen*, Y. Wang*, "Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting", IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(11):13297-13313, 2023.
  32. J. Yao, B. Han, Z. Zhou, Y. Zhang*, I. Tsang, "Latent Class-Conditional Noise Model", IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(8):9964 - 9980, 2023.
  33. Q. Xu, R. Zhang, Z. Fan, Y. Wang, Y. Wu, Y. Zhang*, "Fourier-based Augmentation with Applications to Domain Generalization", Pattern Recognition, Volume 139, Article 109474, 2023.
  34. X. Zhang, W. Xie, C. Huang, Y. Zhang, X. Chen, Q. Tian and Y. Wang*, "Self-supervised Tumor Segmentation with Sim2Real Adaptation", IEEE Journal of Biomedical and Health Informatics, 27(9):4373-4384, 2023.
  35. X. Chen, Y. Zhang*, I. Tsang, Y. Pan, J. Su, "Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation", ACM Transactions on Information Systems (TOIS), 41(1), Article No. 14, pp 1–31, 2023.
  36. C. Ju, P. Zhao, S. Chen, Y. Zhang*, X. Zhang, Y. Wang, Q. Tian, "Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization", IEEE Transactions on Multimedia, 25:6688-6701, 2023.
  37. C. Huang, Q. Xu, Y. Wang*, Y. Wang, Y. Zhang*, “Self-Supervised Masking for Unsupervised Anomaly Detection and Localization“, IEEE Transactions on Multimedia, 25:4426-4438, 2023.
  38. C. Wu, F. Chang, X. Su, Z. Wu, Y. Wang, L. Zhu*, Y. Zhang*, "Integrating features from lymph node stations for metastatic lymph node detection", Computerized Medical Imaging and Graphics, Volume 101, October 2022, 102108.
  39. Y. Zhou, S. Sun, Q. Liu, X. Xu, Y. Zhang*, Y. Zhang*, "TED: Two-Stage Expert-Guided Interpretable Diagnosis Framework for Microvascular Invasion in Hepatocellular Carcinoma", Medical Image Analysis, Volume 82, November 2022, 102575.
  40. P. Zhao, L. Xie, J. Wang, Y. Zhang*, Q. Tian, "Progressive privileged knowledge distillation for online action detection", Pattern Recognition, Volume 129, September 2022, 108741.
  41. J. Liu, Y. Zhao, S. Chen, Y. Zhang*, "A 3D Mesh-Based Lifting-and-Projection Network for Human Pose Transfer", IEEE Transactions on Multimedia, 24:4314-4327, 2022.
  42. M. Li, S. Chen, X. Chen, Y. Zhang, Y. Wang, Q. Tian, "Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction", IEEE Transactions on Pattern Analysis and Machine Intelligence, 4(6):3316-3333, 2022 (ESI highly cited paper).
  43. P. Zhao, L. Xie, Y. Zhang*, Q. Tian, "Actionness-guided Transformer for Anchor-free Temporal Action Localization", IEEE Signal Processing Letters, 29:194-198, 2022.
  44. F. Ye, C. Huang, J. Cao, M. Li, Y. Zhang*, C. Lu, "Attribute Restoration Framework for Anomaly Detection", IEEE Transactions on Multimedia, 24:116-127, 2022 (ESI highly cited paper).
  45. X. Chen, S. Chen, J. Yao, H. Zheng, Y. Zhang*, I. Tsang, "Learning on Attribute-Missing Graphs", IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(2):740-757, 2022.
  46. M. Li, S. Chen, Y. Zhao, Y. Zhang, Y. Wang, Q. Tian, "Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction", IEEE Transactions on Image Processing, 30:7760-7775, 2021.
  47. S. Feng, B. Liu, Y. Zhang*, X. Zhang, Y. Li, "Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis", IEEE Transactions on Medical Imaging, 40(9):2496-2506, 2021.
  48. C. Ma, Q. Xu, X. Wang, B. Jin, X. Zhang, Y. Wang, Y. Zhang*, "Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning", IEEE Transactions on Medical Imaging, 40(10):2563-2574, 2021.
  49. P. Zhao, L. Xie, Y. Zhang*, Q. Tian, "Universal-to-Specific Framework for Complex Action Recognition", IEEE Transactions on Multimedia, 23:3441-3453, 2021.
  50. X. Chen, J. Yao, M. Li, Y. Zhang*, Y. Wang, "Decoupled Variational Embedding for Signed Directed Networks", ACM Transactions on the Web, 15(1), Article 3 (October 2020), 31 pages.
  51. Y. Zhang, Y. Zhang*, "Learning Robust Shape-based Features for Domain Generalization", IEEE Access, 8:63748-63756, 2020.
  52. Z. Tan, Y. Zhang*, W. Hu, "Online Prediction of Video Popularity in OVSs: A Video Age-Sensitive Model With Beyond Views Features", IEEE Transactions on Broadcasting, 66(2):241-250, 2020.
  53. Y. Zhang, Y. Zhang*, W. Cai, "A Unified Framework for Generalizable Style Transfer: Style and Content Separation", IEEE Transactions on Image Processing, 29(1):4085-4098, 2020.
  54. J. Yao, J. Wang, I. W. Tsang*, Y. Zhang*, J. Sun, C. Zhang, R. Zhang, "Deep Learning from Noisy Image Labels with Quality Embedding", IEEE Transactions on Image Processing, 28(4):1909-1922, 2019.
  55. Z. Tan, Y. Zhang*, "Predicting the Top-N popular videos via a cross-domain hybrid model", IEEE Transactions on Multimedia, 21(1):147-156, 2019.
  56. Z. Chen, Z. Xu, Y. Zhang*, X. Gu, "Query-free Clothing Retrieval via Implicit Relevance Feedback", IEEE Transactions on Multimedia, 20(8):2126-2137, 2018.
  57. Z. Xu, S. Huang, Y. Zhang*, D. Tao*, "Webly-Supervised Fine-Grained Visual Categorization via Deep Domain Adaptation", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 40(5): 1100-1113, 2018.
  58. J. Yao, Y. Wang*, Y. Zhang*, J. Sun, J. Zhou, "Joint Latent Dirichlet Allocation for Social Tags", IEEE Transactions on Multimedia, 20(1):224-237, 2018.
  59. Y. Zhang, W. Cai, W. Wang, Y. Zhang*, "Stopping Criterion for Active Learning with Model Stability", ACM Transactions on Intelligent Systems and Technology, 9(2), Article No. 19, 2017.
  60. W. Cai, Y. Zhang, Y. Zhang*, S. Zhou, W. Wang, Z. Chen, C. Ding, "Active Learning for Classification with Maximum Model Change", ACM Transactions on Information Systems (TOIS), 36(2), 15, 2017.
  61. W. Cai, M. Zhang, Y. Zhang*, "Batch Mode Active Learning for Regression with Expected Model Change", IEEE Transactions on Neural Networks and Learning Systems, 28(7):1668-1681, 2017.
  62. Z. Xu, D. Tao, S. Huang, Y. Zhang*, "Friend or Foe: Fine-Grained Categorization with Weak Supervision", IEEE Transactions on Image Processing, 26(1):135-146, 2017.
  63. Z. Xu, Z. Hong, Y. Zhang*, J. Wu, A. C. Tsoi, D. Tao, "Multinomial Latent Logistic Regression for Image Understanding", IEEE Transactions on Image Processing, 25(2):973-987, 2016.
  64. B. Long, J. Bian, O. Chapelle, Y. Zhang, Y. Inagakiy, Y. Chang, "Active Learning for Ranking through Expected Loss Optimization", IEEE Transactions on Knowledge and Data Engineering, 27(5):1180-1191, 2015.
  65. W. Cai, M. Zhang, Y. Zhang*, "Active learning for ranking with sample density", Information Retrieval Journal, 18(2):123-144, 2015.
  66. W. Cai, M. Zhang, Y. Zhang*, "Active Learning for Web Search Ranking via Noise Injection", ACM Transactions on the Web (TWEB), 9(1): article No. 3, 2015 (Source code).
  67. Y. Liu, Y. Qian*, N. Chen, T. Fu, Y. Zhang, K. Yu, "Deep Feature for Text-dependent Speaker Verification", Speech Communication, 73:1-13, 2015.
  68. Z. Xu, Y. Zhang*, L. Cao, "Social Image Analysis from a Non-IID Perspective", IEEE Transactions on Multimedia, 16(7):1986-1998, 2014.
  69. O. Chapelle, P. Shivaswamy, S. Vadrevu, K. Weinberger, Y. Zhang, and B. Tseng, "Boosted Multi-task Learning", Machine Learning, vol. 85(1-2), 149-173, 2011. (g-scholar)

Refereed Conference Papers:

  1. Shuyang Jiang, Yuhao Wang, Ya Zhang, Yanfeng Wang, Yu Wang, "Miner: Mining Intrinsic Mastery for Data-Efficient RL in Large Reasoning Models", ACL 2026, accepted.
  2. Haolin Li, Shuyang Jiang, Ruipeng Zhang, Jiangchao Yao, Ya Zhang, Yanfeng Wang, "Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach", ACL Findings 2026, accepted.
  3. Haoning Wu, Xiao Huang, Yaohui Chen, Ya Zhang, Yanfeng Wang, Weidi Xie, "SpatialScore: Towards Comprehensive Evaluation for Spatial Intelligence", CVPR 2026 (highlight), accepted.
  4. Yushun Fang, Yuxiang Chen, Shibo Yin, Qiang Hu, Jiangchao Yao, Ya Zhang, Xiaoyun Zhang, Yanfeng Wang, "One-Step Diffusion Transformer for Controllable Real-World Image Super-Resolution", CVPR 2026, accepted.
  5. Yuhuan Yang, Xianwei Zhuang, Yuxuan Cai, Chaofan Ma, Shuai Bai, Jiangchao Yao, Ya Zhang, Junyang Lin, Yanfeng Wang, "GenMask: Adapting DiT for Segmentation via Direct Mask Generation", CVPR 2026, accepted.
  6. Feng Hong, Jiangchao Yao, Yifei Shen, Dongsheng Li, Ya Zhang, Yanfeng Wang, "Improving Diffusion Models for Class-imbalanced Training Data via Capacity Manipulation", ICLR 2026 (Oral), accepted.
  7. Shuyang Jiang, Yusheng Liao, Ya Zhang, Yanfeng Wang, Yu Wang, "Overthinking Reduction with Decoupled Rewards and Curriculum Data Scheduling", ICLR 2026 (Oral), accepted.
  8. Feng Hong, Geng Yu, Yushi Ye, Haicheng Huang, Huangjie Zheng, Ya Zhang, Yanfeng Wang, Jiangchao Yao, "Wide-In, Narrow-Out: Revokable Decoding for Efficient and Effective DLLMs", ICLR 2026, accepted.
  9. Shengchao Hu, Peng Wang, Guozheng Ma, Shi Fu, Li Shen, Ya Zhang, Dacheng Tao, "The State of Reinforcement Finetuning for Transformer-based Agents", ICLR 2026, accepted.
  10. S. Jiang, Y. Liao, Z. Chen, Y. Zhang, Y. Wang, Y. Wang, "MedS^3: Towards Medical Slow Thinking with Self-Evolved Soft Dual-sided Process Supervision", AAAI 2026, accepted.
  11. J. Lei, Z. Fan, Y. Zhang, Y. Zhang, Y. Wang, W. Xie, "Versatile Vision-Language Model for 3D Computed Tomography", AAAI 2026, accepted.
  12. Z. Mao, Y. Yang, C. Ma, D. Jiang, J. Yao, Y. Zhang, Y. Wang, "SaFiRe: Saccade-Fixation Reiteration with Mamba for Referring Image Segmentation", NeurIPS 2025, accepted.
  13. H. Li, T. Dai, Z. Chen, S. Du, J. Yao, Y. Zhang, Y. Wang, "RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis", NeurIPS 2025, accepted.
  14. Z. Zhou, F. Hong, J. Luo, Y. Ye, J. Yao, D. Li, B. Han, Y. Zhang, Y. Wang, "Learning to Instruct for Visual Instruction Tuning", NeurIPS 2025, accepted.
  15. H. Wu, Z. Zhao, Y. Zhang, Y. Wang, W. Xie, "MRGen: Segmentation Data Engine For Underrepresented MRI Modalities", ICCV 2025, accepted.
  16. Z. Zhao, F. Hong, M. Chen, P. Chen, B. Liu, J. Yao, Y. Zhang, Y. Wang, "Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning", ICCV 2025, accepted.
  17. J. Rao, Z. Li, H. Wu, Y. Zhang, Y. Wang, W. Xie, "Multi-agent system for comprehensive soccer understanding", Proceedings of the 33rd ACM International Conference on Multimedia, pp. 3654-3663, 2025.
  18. J. Rao, H. Wu, H. Jiang, Y. Zhang, Y. Wang, W. Xie, "Towards Universal Soccer Video Understanding", CVPR 2025.
  19. W. Chen, Z. Zhao, J. Yao, Y. Zhang, J. Bu, H. Wang, "Multi-modal Medical Diagnosis via Large-small Model Collaboration", CVPR 2025.
  20. Y. Yang, C. Ma, Z. Mao, J. Yao, Y. Zhang, Y. Wang, "MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition", ICML 2025.
  21. F. Zhang, P. Zhang, B. Yang, F. Huang, Y. Zhang, Y. Wang, "ConText: Driving In-context Learning for Text Removal and Segmentation", ICML 2025.
  22. Z. Fan, S. Du, S. Hu, P. Wang, L. Shen, Y. Zhang, D. Tao, Y. Wang, "Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection", ICLR 2025.
  23. S. Jiang, Y. Liao, Y. Wang, Y. Zhang*, Y. Wang*, "Fine-tuning with Reserved Majority for Noise Reduction", ICLR 2025.
  24. S. Jiang, Y. Liao, Y. Zhang*, Y. Wang, Y. Wang*, "TAIA: Large Language Models are Out-of-Distribution Data Learners", NeurIPS 2024.
  25. J. Luo, F. Hong, J. Yao, B. Han, Y. Zhang, Y. Wang, "Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation", NeurIPS 2024.
  26. M. Chen, F. Zhang, Z. Zhao, J. Yao, Y. Zhang, Y. Wang, "Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness", NeurIPS 2024.
  27. Z. Ouyang, Y. Qiu, L. Wang, G. de Melo, Y. Zhang, Y. Wang, L. He, "CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios", EMNLP 2024.
  28. W. Zhao, C. Wu, X. Zhang, Y. Zhang, W. Xie, "RaTEScore: A Metric for Entity-Aware Radiology Text Similarity", EMNLP 2024.
  29. Z. Zhao, P. Wang, L. Zhao, Y. Yang, Y. Zhang, K. Sun, X. Sun, X. Zhou, Y. Wang, Y. Wang, "HSDreport: Heart Sound Diagnosis with Echocardiography Reports", EMNLP 2024.
  30. Z. Zheng, H. Zhong, Q. Hu, X. Zhang, L. Song, Y. Zhang, Y. Wang, "HPC: Hierarchical Progressive Coding Framework for Volumetric Video", ACM MM 2024.
  31. Z. Zheng, H. Zhong, Q. Hu, X. Zhang, L. Song, Y. Zhang, Y. Wang, "JOINTRF: End-to-End Joint Optimization for Dynamic Neural Radiance Field Representation and Compression", ICIP 2024 (top 5% of accepted papers).
  32. Y. Yang, C. Ma, J. Yao*, Z. Zhong, Y. Zhang, Y. Wang*, "ReMamber: Referring Image Segmentation with Mamba Twister", ECCV 2024.
  33. X. Zhou, X. Zhang, C. Wu, Y. Zhang, W. Xie*, Y. Wang*, "Knowledge-enhanced Visual-Language Pretraining for Computational Pathology", ECCV 2024 (Oral).
  34. Z. Li, Q. Chen, T. Han, Y. Zhang, Y. Wang, W. Xie, "Multi-Sentence Grounding for Long-term Instructional Video", ECCV 2024.
  35. Y. Guo, Y. Yang, Y. Zhang*, Y. Wang*, Y. Wang, "DictLLM: Harnessing Key-Value Data Structures with Large Language Models for Enhanced Medical Diagnostics", ACL 2024.
  36. Y. Zhou, Z. Zhao, S. Du, H. li, J. Yao, Y. Zhang, Y. Wang, "Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters", ICML 2024.
  37. F. Hong, Y. Lyu, J. Yao, Y. Zhang, I. Tsang, Y. Wang, "Diversified Batch Selection for Training Acceleration", ICML 2024.
  38. S. Hu, Z. Fan, L. Shen, Y. Zhang, Y. Wang, D. Tao, "HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning", ICML 2024.
  39. Z. Fan, S. Hu, J. Yao, G. Niu, Y. Zhang, M. Sugiyama, Y. Wang, "Locally Estimated Global Perturbations is Better than Local Perturbations for Federated Sharpness-aware Minimization", ICML 2024.
  40. S. Hu, Z. Fan, C. Huang, L. Shen, Y. Zhang, Y. Wang, D. Tao, "Q-value Regularized Transformer for Offline Reinforcement Learning", ICML 2024.
  41. J. Liu, Y. Liu, F. Zhang, C. Ju, Y. Zhang*, Y. Wang, "Audio-Visual Segmentation via Unlabeled Frame Exploitation", CVPR 2024, pp. 26328-26339.
  42. C. Huang, A. Jiang, J. Feng, Y. Zhang, X. Wang*, Y. Wang*, "Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images", CVPR 2024 (spotlight), pp. 11375-11385.
  43. Y. Zhou, H. li, S. Du, J. Yao*, Y. Zhang, Y Wang*, "Low-Rank Knowledge Decomposition for Medical Foundation Models", CVPR 2024, pp. 11611-11620.
  44. Z. Zhao, M. Chen, T. Dai, J. Yao*, B. Han, Y. Zhang, Y Wang*, "Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning", CVPR 2024, pp. 27381-27390.
  45. R. Zhang, Z. Fan, J. Yao*, Y. Zhang, Y. Wang*, "Domain-Inspired Sharpness Aware Minimization Under Domain Shifts", ICLR 2024.
  46. T. Zhang, H. Zheng, J. Yao, X. Wang, M. Zhou, Y. Zhang, Y. Wang*, "Long-tailed Diffusion Models with Oriented Calibration", ICLR 2024.
  47. F. Hong, J. Yao*, Y. Lyu, Z. Zhou, I. Tsang, Y. Zhang, Y. Wang*, "On Harmonizing Implicit Subpopulations", ICLR 2024.
  48. S. Hu, L. Shen, Y. Zhang, D. Tao, "Learning Multi-Agent Communication from Graph Modeling Perspective", ICLR 2024.
  49. Y. Cai, L. Wang, Y. Wang, G. d. Melo, Y. Zhang, Y. Wang, L. He, "Medical-Eval: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models", AAAI 2024.
  50. L. Xing, M. Chen, J. Yao, Y. Zhang, Y. Wang*, "Pre-Post Interaction Learning for Brain Tumor Segmentation with Missing MRI Modalities", ICASSP 2024.
  51. J. Liu, Y. Wang, C. Ju, C. Ma, Y. Zhang*, W. Xie*, "Annotation-free Audio-Visual Segmentation", WACV 2024.
  52. Z. Zhou, J. Yao*, F. Hong, B. Han, Y. Zhang, Y. Wang*, "Combating Representation Learning Disparity with Geometric Harmonization", NeurIPS 2023.
  53. Z. Fan, R. Zhang, J. Yao, B. Han, Y. Zhang, Y. Wang*, "Federated Learning with Bilateral Curation for Partially Class-Disjoint Data", NeurIPS 2023.
  54. C. Ma, Y. Yang, C. Ju, F. Zhang, Y. Zhang, Y. Wang*, "Open-Vocabulary Semantic Segmentation via Attribute Decomposition-Aggregation", NeurIPS 2023.
  55. F. Zhang, T. Zhou, B. Li, H. He, C. Ma, T. Zhang, J. Yao*, Y. Zhang, Y. Wang, "Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation", NeurIPS 2023.
  56. S. Wei, Y. Wei, Y. Hu, Y. Lu, Y. Zhong, S. Chen*, Y. Zhang*, "Asynchrony-Robust Collaborative Perception via Bird’s Eye View Flow", NeurIPS 2023.
  57. Y. Liu, J. Yao, Y. Zhang, Y. Wang*, W. Xie*, "Zero-shot Composed Text-Image Retrieval", BMVC 2023.
  58. H. Wu, X. Zhang*, W. Xie, Y. Zhang, Y. Wang*, "Boost Video Frame Interpolation via Motion Adaptation", BMVC 2023.
  59. C. Wu#, X. Zhang#, Y. Zhang, Y. Wang*, W. Xie*, "MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training for X-ray Diagnosis", ICCV 2023.
  60. Z. Li#, Q. Zhou#, X. Zhang, Y. Zhang, Y. Wang*, W. Xie*, "Open-vocabulary Object Segmentation with Diffusion Models", ICCV 2023.
  61. Q. Xu#, W. Mao#, J. Gong, C. Xu, S. Chen*, W. Xie, Y. Zhang, Y. Wang*, "Joint-Relation Transformer for Multi-person Motion Prediction", ICCV 2023.
  62. A. Jiang#, C. Huang#, Q. Cao, S. Wu, Z. Zi, K. Chen, Y. Zhang, Y. Wang*, "Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection", MICCAI 2023, pp. 87–97.
  63. W. Lin, Z. Zhao, X. Zhang, C. Wu, Y.Zhang, W. Xie*, Y. Wang*, "PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents", MICCAI 2023, pp. 525–536.
  64. R. Zhang, Z. Fan, Q. Xu, J. Yao*, Y. Zhang, Y. Wang*, "GRACE: Enhancing Federated Learning for Medical Imaging with Generalized and Personalized Gradient Correction", MICCAI 2023, pp. 14–24.
  65. Z. Wang, X. Zhang, Z. Zhang, H. Zheng, Y. Zhang, M. Zhou, Y. Wang, "DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration", CVPR 2023, pp. 1704-1713.
  66. C. Ju, K. Zheng, J. Liu, P. Zhao, Y. Zhang, J. Chang, Q. Tian, Y. Wang*, "Distilling Vision-Language Pre-training to Collaborate with Weakly-Supervised Temporal Action Localization", CVPR 2023, pp. 14751-14762.
  67. R. Zhang, Q. Xu, J. Yao, Y. Zhang*, Q. Tian, Y. Wang*, "Federated Domain Generalization with Generalization Adjustment", CVPR 2023, pp. 3954-3963.
  68. Z. Lyu, J. Wang, Y. An, Y. Zhang, D. Lin, B. Dai, "Controllable Mesh Generation Through Sparse Latent Point Diffusion Models", CVPR 2023, pp. 271-280.
  69. M. Chen, L. Xing, Y. Wang*, Y. Zhang*, "Enhanced Multimodal Representation Learning with Cross-modal KD", CVPR 2023, pp. 11766-11775.
  70. Y. Qin, H. Zheng, J. Yao*, M. Zhou, Y. Zhang, "Class-Balancing Diffusion Models", CVPR 2023, pp. 18434-18443.
  71. F. Hong, J. Yao*, Z. Zhou, Y. Wang*, Y. Zhang, "Long-Tailed Partial Label Learning via Dynamic Rebalancing", ICLR 2023.
  72. Q. Zhou, Z. Li, W. Xie*, X. Zhang*, Y. Zhang, Y. Wang, "A Simple Plugin for Transforming Images to Arbitrary Scales", BMVC 2022.
  73. Z. Zhao, T. Zhang, W. Xie*, Y. Wang*, Y. Zhang, "K-Space Transformer for Undersampled MRI Reconstruction", BMVC 2022.
  74. C. Ma, Y. Yang, Y. Wang*, Y. Zhang, W. Xie, "Open-vocabulary Semantic Segmentation with Frozen Vision-Language Models", BMVC 2022.
  75. Z. Fan, Y. Wang*, J. Yao*, L. Lyu, Y. Zhang, and T. Qi, "FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation", ICDM 2022.
  76. C. Huang, H. Guan, A. Jiang, Y. Zhang*, M. Spratling, Y. Wang*, “Registration based Few-Shot Anomaly Detection", ECCV 2022 (Oral), pp. 303–319.
  77. M. Li, S. Chen*, Z. Zhang, L. Xie, Q. Tian, Y. Zhang*, "Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction", ECCV 2022, pp. 18–36.
  78. C. Ju, T. Han, K. Zheng, Y. Zhang*, W. Xie*, "Prompting Visual-Language Models for Efficient Video Understanding", ECCV 2022, pp. 105–124.
  79. J. Liu, C. Ju, W. Xie*, Y. Zhang*, "Exploiting Transformation Invariance and Equivariance for Self-supervised Sound Localisation", ACM MM 2022, pp. 3742–3753.
  80. Z. Zhou, J. Yao*, Y. Wang*, B. Han, Y. Zhang, “Contrastive Learning with Boosted Memorization“, ICML 2022.
  81. F. Chang, C. Wu, Y. Wang, Y. Zhang*, X. Chen, Q. Tian, “Boundary-Enhanced Self-Supervised Learning for Brain Structure Segmentation“, MICCAI 2022, pp. 14–23.
  82. W. Liu, C. Ma, Y. Yang, W. Xie, Y. Zhang*, “Transforming the Interactive Segmentation for Medical Imaging“, MICCAI 2022, pp. 704–713.
  83. B. Guo, X. Zhang*, H. Wu, Y. Wang, Y. Wang*, Y. Zhang, "LAR-SR: A Local Autoregressive Model for Image Super Resolution", CVPR 2022, pp. 1909-1918.
  84. Y. Huang, X. Zhang*, Y. Fu, S. Chen, Y. Zhang, Y. Wang*, D. He, "Task Decoupled Framework for Reference-based Super-Resolution", CVPR 2022, pp. 5931-5940.
  85. C. Xu, M. Li, Z. Ni, Y. Zhang, S. Chen*, "GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning", CVPR 2022, 6498-6507.
  86. Z. Cheng, S. Chen*, Y. Zhang*, "Spatio-temporal Graph Complementary Scattering Networks", ICASSP 2022.
  87. L. Zhang, S. Feng, Y. Wang, Y. Wang, Y. Zhang*, X. Chen, Q. Tian, "Unsupervised Ensemble Distillation for Multi-organ Segmentation", IEEE International Symposium on Biomedical Imaging (ISBI) 2022.
  88. R. Zhang, Q. Xu, C. Huang, Y. Zhang*, Y. Wang, "Semi-supervised Domain Generalization for Medical Image Analysis", IEEE International Symposium on Biomedical Imaging (ISBI) 2022.
  89. C. Huang, F. Ye, P. Zhao, Y. Zhang*, Y. Wang, Q. Tian, "ESAD: End-to-end Semi-supervised Anomaly Detection", BMVC 2021.
  90. B. Tang, Y. Zhong, U. Neumann, G. Wang, Y. Zhang, S. Chen*, "Collaborative Uncertainty in Multi-Agent Trajectory Forecasting", NeurIPS 2021.
  91. C. Ju, P. Zhao, S. Chen, Y. Zhang*, Y. Wang, Q. Tian, "Divide and Conquer for Single-frame Temporal Action Localization", ICCV 2021, pp. 13455-13464.
  92. T. Cao, L. Du, X. Zhang*, S. Chen, Y. Zhang, Y. Wang, "CaT: Weakly Supervised Object Detection with Category Transfer", ICCV 2021, pp. 3070-3079.
  93. X. Zhang, S. Feng, Y. Zhou, Y. Zhang*, Y. Wang, "SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation", MICCAI 2021, pp. 124-133.
  94. M. Hu, T. Song, Y. Gu, X. Luo, J. Chen, Y. CHen, Y. Zhang*, S. Zhang"Fully Test-time Adaptation for Image Segmentation", MICCAI 2021, pp. 251-260.
  95. J. Chen*, K. Yan, Y. Zhang, Y. Tang, X. Xu, Q. Liu, S. Sun, L. Huang, J. Xiao, A. Yuille, Y. Zhang, L. Lu, "Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining", MICCAI 2021, pp. 765-774.
  96. F. Ye, H. Zheng, C. Huang, Y. Zhang*, "Deep Unsupervised Image Anomaly Detection: an Information Theoretic Framework", ICIP 2021.
  97. Z. Cheng, S. Chen*, Y. Zhang*, "Semi-supervised 3D Hand-Object Pose Estimation via Pose Dictionary Learning", ICIP 2021.
  98. L. Du, L. Hu, X. Zhang*, Y. Zhang, Y. Zhang, Y. Wang, "Unsupervised Segmentation Framework with Active Contour Models for Cine Cardiac MRI", ICIP 2021.
  99. Q. Xu, R. Zhang, Y. Zhang*, Y. Wang, Q. Tian, "A Fourier-based Framework for Domain Generalization", CVPR 2021 (oral), pp. 14383-14392.
  100. H. Wu, J. Yao, Y. Zhang*, Y. Wang, "Cooperative Learning for Noisy Supervision", ICME 2021 (Oral).
  101. C. Xu, S. Chen*, M. Li, Y. Zhang*, "Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation", AAAI 2021, pp. 3013-3021.
  102. C. Wen, Y. Pan, J. Chang, Y. Zhang, S. Chen, Y. Wang, M. Han, Q. Tian, "Handwritten Chinese Font Generation with Collaborative Stroke Refinement", WACV 2021, pp. 3882-3891.
  103. K. Du, Y. Zhang*, H. Guan, "From Quantized DNNs to Quantizable DNNs", BMVC 2020.
  104. M. Li, S. Chen*, Y. Zhang*, I. Tsang, "Graph Cross Networks with Vertex Infomax Pooling", NeurIPS 2020 (Oral).
  105. K. Du, Y. Zhang*, H. Guan, Q. Tian, Y. Wang, S. Cheng, J. Lin, "FTL: A universal framework for training low-bit DNNs via Feature Transfer", ECCV 2020.
  106. P. Zhao, L. Xie, C. Ju, Y. Zhang*, Y. Wang, Q. Tian, "Bottom-Up Temporal Action Localization with Mutual Regularization", ECCV 2020. (Source code)
  107. Y. Xue, S. Feng, Y. Zhang*, X. Zhang, Y. Wang, "Dual-task Self-supervision for Cross-Modality Domain Adaptation", MICCAI 2020, pp. 408-417.
  108. M. Hu, M. Mailard*, Y. Zhang*, T. Ciceri, G. L. Barbera, I. Bloch, P. Gori, "Knowledge distillation from multi-modal to mono-modal segmentation networks", MICCAI 2020, pp. 773-781.
  109. M. Li, S. Chen*, Y. Zhao, Y. Zhang*, Y. Wang, Q. Tian, "Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction", CVPR 2020 (Oral), pp. 214-223. (Source code)
  110. Y. Hu, S. Chen*, Y. Zhang*, X. Gu, "Collaborative Motion Prediction via Neural Motion Message Passing", CVPR 2020 (Oral), pp. 6319-6328. (Source code)
  111. X. Liao, W. Li, Q. Xu, X. Wang*, B. Jin*, X. Zhang, Y. Wang, Y. Zhang*, "Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning", CVPR 2020, pp. 9394-9402.
  112. Y. Zhou, Y. Zhang*, Y. Wang, Q. Tian, "Accelerate CNN via Recursive Bayesian Pruning", ICCV 2019, pp. 3306-3315.
  113. M. Li, S. Chen, X. Chen, Y. Zhang, Y. Wang, Q. Tian, "Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition", CVPR 2019, pp. 3595-3603.
  114. Y. Hu, S. Chen, X. Chen, Y. Zhang* and X. Gu, "Neural Message Passing for Visual Relationship Detection", ICML 2019 workshop on Learning and Reasoning with Graph-Structured Representations.
  115. H. Zheng, J. Yao, Y. Zhang*, I. Tsang, J. Wang, "Understanding VAEs in Fisher-Shannon Plane", AAAI 2019, pp. 5917-5924.
  116. J. Yao, H. Wu, Y. Zhang, I. Tsang, J. Sun, "Safeguarded Dynamic Label Regression for Noisy Supervision", AAAI 2019, pp. 9103-9110. (Source code)
  117. B. Han, J. Yao, G. Niu, M. Zhou, I. Tsang, Y. Zhang, M. Sugiyama, "Masking: A New Perspective of Noisy Supervision", NeurIPS 2018: 5841-5851.
  118. K. Ren, Y. Fang, W. Zhang, S. Liu, J. Li, Y. Zhang, Y. Yu, J. Wang, "Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising", CIKM 2018, pp. 1433-1442.
  119. Y. Wang, L. Xie, S. Qiao, Y. Zhang*, W. Zhang, A. Yuille, "Multi-Scale Spatially-Asymmetric Recalibration for Image Classification", ECCV 2018, pp. 523-539.
  120. J. Wang, J. Yao, Y. Zhang*, R. Zhang, "Collaborative Learning for Weakly Supervised Object Detection", IJCAI-ECAI-2018, pp. 971-977. (Source code)
  121. Y. Zhang, Y. Zhang*, W. Cai, "Separating Style and Content for Generalized Style Transfer", CVPR 2018, pp. 8447-8455.
  122. Y. Wang, L. Xie*, C. Liu, S. Qiao, Y. Zhang*, W. Zhang, Q. Tian, A. Yuille, "SORT: Second-Order Response Transform for Visual Recognition", ICCV 2017, pp. 1359-1368.
  123. S. Huang, Z. Xu, D. Tao, Y. Zhang, "Part-Stacked CNN for Fine-Grained Visual Categorization", CVPR 2016, pp. 1173 - 1182.
  124. Z. Xu, S. Huang, Y. Zhang, D. Tao, "Augmenting Strong Supervision Using Web Data for Fine-grained Categorization", ICCV 2015, pp. 2524 - 2532.
  125. Z. Xu, D. Tao, Y. Zhang, J. Wu, A. Tsoi, "Architectural Style Classification using Multinomial Latent Logistic Regression", ECCV2014, pp. 600-615.
  126. M. Zhang, C. Ding, Y. Zhang, F. Nie, "Feature Selection at the Discrete Limit", AAAI2014, pp. 1355-1361.
  127. Y. Zhang, Y. Wei, J. Ren, "Multi-Touch Attribution in Online Advertising with Survival Theory", ICDM2014, pp. 687-696.
  128. J. Yan, Y. Tian, H. Zha, X. Yang, Y. Zhang, S. Chu, "Joint optimization for consistent multiple graph matching", in Proc. of ICCV 2013, pp. 4321-4328.
  129. W. Cai, Y. Zhang, J. Zhou, "Maximizing Expected Model Change for Active Learning in Regression", in Proc. of ICDM 2013, pp. 51-60 (Source code).
  130. W. Cai, Y. Zhang, "Variance Maximization via Noise Injection for Active Sampling in Learning to Rank", in Proc. of the 21th ACM International Conference on Information and Knowledge Management (CIKM'12), pp.1809-1813, 2012.
  131. Y. Tian, J. Yan, H. Zhang, Y. Zhang, X. Yang and H. Zha. "On the Convergence of Graph Matching: Graduated Assignment Revisited", in proceedings of the 12th European Conference on Computer Vision (ECCV'12), pp.821-835, 2012.
  132. O. Chapelle, P. Shivaswamy, S. Vadrevu, K. Weinberger, Y. Zhang, B. Tseng, "Multi-Task Learning for Boosting with Application to Web Search Ranking", in Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD2010), pp. 1189-1198. (g-scholar)
  133. B. Long, O. Chapelle, Y. Zhang, Y. Chang, Z. Zheng, B. Tseng, "Active Learning for Ranking through Expected Loss Optimization", in Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval (SIGIR2010), 2010, pp.267-274.(g-scholar).
  134. Y. Yue, Y. Gao, O. Chapelle, Y. Zhang, T. Joachims, "Learning More Powerful Test Statistics for Click-Based Retrieval Evaluation", in Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval (SIGIR2010), 2010, pp.507-514. .(g-scholar).
  135. O. Chapelle, D. Metzler, Y. Zhang, P. Grinspan, "Expected Reciprocal Rank for Graded Relevance", in Proc. of the Ninth International Conference on Information and Knowledge Management (CIKM), 2009, 621-630. (g-scholar)
  136. B. Long, S. Lamkhede, S. Vadrevu, Y. Zhang, B. Tseng, "A Risk Minimization Framework for Domain Adaptation", in Proc. of the Ninth International Conference on Information and Knowledge Management (CIKM), 2009, 1347-1356.(g-scholar)
  137. O. Chapelle and Y. Zhang, "A Dynamic Bayesian Network Click Model for Web Search Ranking", in Proc. of the 18th International World Wide Web Conference (WWW), 2009, pp. 1-10. (g-scholar)

PATENTS

  1. Method and appartus for using B measures to learn balanced relevance functions from expert and user judgments. K. Chen, Y. Zhang, Z. Zheng, H. Zha and G. Sun, US patent 7,685,078.
  2. Identifying Regional Sensitive Queries in Web Search. Y. Zhang, S. Vadrevu, B. Tseng, G. Sun, and X. Li, US patent 7,949,672.
  3. System and method for cross domain learning for data augmentation. B. Long, S. Lamkhede, S. Vadrevu, Y. Zhang, B. Tseng, US patent 8,332,334.
  4. Click Model for Search Rankings. O. Chapelle and Y. Zhang, US patent 8,671,093.
  5. Automated User Behavior Feedback System for Whole Page Search Success Optimization. D. Ciemiewicz, Y. Zhang, B. Tseng, and J.-M. Langlois, US patent 8,832,101.
  6. 蔡文彬；张娅，一种基于机器学习的排序系统，发明专利，专利号：ZL201310429873.X，授权日期：2016/9/7
  7. 蔡文彬；张娅，一种基于主动学习的回归分析系统及方法，发明专利，专利号：ZL201310430125.3，授权日期：2016/7/6
  8. 徐哲；张娅，面向图像分享网站图片的多重配对相似度确定方法，发明专利，专利号：ZL201310442438.0，授权日期：2016/8/17
  9. 邱洁琼；张娅；孙军，一个面向开放环境的人脸识别方法，发明专利，专利号：ZL201310501113.5，授权日期：2017/1/18
  10. 陈唯源，张娅，查宏远，基于家庭收视纪录的家庭分析及节目推荐方法，发明专利，专利号：ZL201310425811.1，授权日期：2017/8/1
  11. 张娅；魏逸；王宇晨，一种基于分布式计算的互联网信息投放渠道优化系统，发明专利，专利号：ZL201410289052.5，授权日期：2017/10/31
  12. 张娅；王延峰；熊意超；徐哲，基于部分参数共享的深度卷积神经网络跨域服装检索方法，发明专利，专利号：ZL201610590701.4，授权日期：2019/08/06
  13. 王延峰；谭智一；张娅，一种基于用户情绪的在线视频热度预测方法及系统，发明专利，专利号：ZL201710131940.8，授权日期：2019/08/06
  14. 王延峰；张娅；郑煌杰；姚江超，一种基于社交媒体图片的地域分析；推荐方法及系统，发明专利，专利号：ZL201610523047.5，授权日期：2019/11/15
  15. 张娅；姚江超；王嘉杰；王延峰，在标签含噪情况下基于质量嵌入的图像分类方法及系统，发明专利，专利号：ZL201710599924.1，授权日期：2019/11/19
  16. 王延峰；周越夫；黄杉杉；张娅，一种有监督深度哈希快速图片检索方法及系统，发明专利，专利号：ZL201710555687.9，授权日期：2019/12/27
  17. 张娅；王延峰；陈卓翔；徐哲，通过间接相关反馈在无查源下的衣服图像检索系统及方法，发明专利，专利号：ZL201610561407.0，授权日期：2020/1/7
  18. 王延峰，张娅，黄杉杉，熊意超，基于卷积神经网络的无监督哈希快速图片检索系统及方法，发明专利，专利号：ZL201710071669.3，授权日期：2020/1/21
  19. 张娅；王仲豪；顾宇俊；王延峰，基于视觉注意力模型的高精度服装图像检索方法及系统，发明专利，专利号：ZL201710567746.4，授权日期：2020/3/31
  20. 王延峰；张娅；姚江超；孙军，基于社交图片的用户兴趣挖掘和用户推荐方法及系统，发明专利，专利号：ZL201610523079.5，授权号：CN107555682B，授权日期：2021/6/29
  21. 张娅；王延峰；侯杰；彭诗奇，基于霍克斯过程的节目质量评价方法，发明专利，专利号：ZL201710124570.5，授权日期：2020/06/12
  22. 张娅；常杰；顾宇俊；王延峰，基于对抗网络的汉字字体迁移系统，发明专利，专利号：ZL201710741335.2，授权日期：2020/11/10
  23. 张娅；常杰；王延峰，一种多媒体页面视觉显著性预测方法及系统，发明专利，专利号：ZL201810343404.9，授权日期：2020/08/25
  24. 张娅；崔克楠；陈旭；姚江超；王延峰，基于协同学习的用户兴趣建模方法和系统，发明专利，专利号：ZL201811287804.9，授权号：CN109543100B，授权日期：2021/4/2
  25. 王延峰；赵培森；张娅，从全局到类别特征表达学习的动作识别方法和系统，发明专利，专利号：ZL201811612590.8，授权号：CN109726671B，授权日期：2020/8/4
  26. 张娅；陈旭；崔克楠；姚江超；王延峰，基于物品关联关系的序列化推荐方法，发明专利，专利号：ZL201811116273.7，授权号：CN109446413B，授权日期：2021/6/1
  27. 张娅；陈旭；姚江超；李茂森；王延峰，基于变分解耦合方式对符号有向网络的表达学习方法，发明专利，专利号：ZL201811184604.0，授权号：CN109523012B，授权日期：2021/6/4
  28. 张娅；汶川；常杰；王延峰，基于协同笔画优化的个性化手写体迁移方法和系统，发明专利，专利号：ZL201910195271.X，授权号：CN110033054B，授权日期：2021/5/25
  29. 张娅；李智康；王延峰，基于协同学习的弱监督语义分割方法及系统，发明专利，专利号：ZL201910619773.0，授权号：CN110363201B，授权日期：2021/6/1
  30. 张娅；张烨珣；蔡文彬；王延峰，基于少量样本生成的任意风格和内容的迁移方法和系统，发明专利，专利号：ZL201710957685.2，授权号：CN107767328B，授权日期：2021/12/17
  31. 张娅；雪盈盈；冯世祥；张小云；王延峰，基于目标领域自监督学习的无监督领域适应方法和系统，专利号：ZL202011041122.7，授权号：CN112149689B，授权日期：2022/12/09
  32. 张娅；李茂森；赵阳桁；王延峰，面向人体骨架的运动预测方法及系统，专利号：ZL202010014577.3，授权号：CN111199216B，授权日期：2022/10/28
  33. 张小云；曹天悦；陈思衡；张娅；王钰；王延峰，一种基于迁移学习的弱监督目标检测方法及系统，专利号：202110556712.1，授权号：CN113239924B，授权日期：2022/4/26
  34. 张娅；廖选；李文浩；徐琪森；王祥丰；金博；张小云；王延峰，交互式图像分割方法、系统及终端，专利号：ZL201911405917.9，授权号：CN111179284B，授权日期：2023/4/21
  35. 张娅；赵培森；王延峰，约束时域关系的视频动作定位方法和系统，专利号：ZL202010032794.5，授权号：CN111259775B，授权日期：2023/4/28.
  36. 王延峰；赖柏霖；张小云；张娅；赵晖；顾一峰；李跃华；姚光宇，脊骨脱位辅助诊断方法及系统，专利号：ZL201910912803.7，授权号：CN110660480B，授权日期：2023/05/26
  37. 王延峰；彭诗奇；张娅；赵晖；顾一峰；李跃华；姚光宇，适用于脊柱转移肿瘤骨质的质量分类方法及系统，专利号：ZL201910881871.1，授权号：CN110648317B，授权日期：2023/06/30
  38. 张娅；杜昆原；王延峰，基于特征迁移的低比特神经网络训练方法及系统，专利号：ZL202010780010.7，授权号：CN111967580B，授权日期：2023/9/29
  39. 张娅；姜文波；赵贵华；张小云；董洋轶；张毅军；王延峰；蔺飞；袁旭稚，人脸图像超分辨率方法和系统，专利号：202110749972.0，授权号：CN113628107B，授权日期：2023/10/27
  40. 张小云；黄一轩；乔宇；董超；张娅；王延峰，基于离散表示学习的图像超分辨率方法和系统、终端，专利号：202110755689.9，授权号：CN113628108B， 授权日期：2023/10/27
  41. 姜文波；赵贵华；张小云；郭柏松；张娅；蔺飞；袁旭稚；王延峰，基于可学习字典的人脸五官超分辨率方法和系统、介质，专利号：202110804781.X，授权号：CN113628109B，授权日期：2023/11/28
  42. 张娅；鞠陈；王延峰，一种基于自适应采样策略的弱监督视频时序动作检测方法和系统，申请号：202010403823.4，授权号：CN111652083B， 授权日期：2023/04/18
  43. 张小云；杜连宇；张娅；王延峰；陈思衡；王钰，基于主动轮廓模型的无监督医学图像分割方法和系统，专利号:202110826817.4，授权号：CN113643302B，授权日期：2023/10/27
  44. 张小云;付裕;张娅;王延峰,一种基于融合退化先验的盲图像超分辨率重建方法和系统,专利号:202210657948.9，授权号：CN114972036B，授权日期：2024/9/24
  45. 王延峰；黄潮钦；徐勤伟；张娅，基于自监督掩膜的图像异常检测和异常定位方法及系统，专利号:202111397389.4，授权号：CN114022475B，授权日期：2024/08/02.
  46. 王延峰, 张乐飞*, 冯世祥*, 王钰, 张娅，基于多源集成蒸馏的多器官分割方法及系统，专利号：CN202210268374.6，授权号：CN114612451B，授权日期：2025/03/28
  47. 王延峰, 黄潮钦*, 管浩言*, 蒋傲凡*, 张娅，基于图像配准的少样本图像异常检测方法及系统，专利号：CN202210617656.2，授权号：CN114972871B，授权日期：2025-05-09
  48. 张娅；姜文波；赵贵华；张小云；董洋轶；张毅军；王延峰；蔺飞；袁旭稚，一种人脸图像修复方法及系统，专利号:202111496917.1，授权号：CN114219728B，授权日期：2025/05/30
  49. 张娅, 邢琳煜*, 陈梦茜*, 姚江超, 王延峰，对于缺失模态鲁棒的多模态MRI脑瘤图像分割方法及系统，专利号:202311244917.1，授权号：CN117237381B，授权日期：2025-06-24
  50. 王延峰, 陈梦茜*, 姚江超, 邢琳煜*, 王钰, 张娅，冗余自适应的多模态鲁棒融合学习方法及系统，专利号:202310981766.1，授权号：CN116992396B，授权日期：2025-06-24
  51. 张娅, 鞠陈*, 王海诚*, 刘金祥*, 马超凡*, 王延峰，局部监督长视频时序文本检索方法及系统，专利号:CN202211581256.7，授权号：CN115809352B，授权日期：2025-06-24
  52. 姜文波；赵贵华；张小云；郭柏松；张娅；蔺飞；辛威；王延峰，基于局部自回归模型和离散词典的超分辨率方法及系统，申请号:202111475883.8，授权号：CN114240748B，授权日期：2025/07/25
  53. 王延峰；赵培森；张小云；张娅，渐进式特权信息蒸馏的在线动作检测方法和系统，申请号:202111388139.4，授权号：CN114120189B，授权日期：2025/07/25
  54. 张娅；鞠陈；赵培森；陈思衡；张小云；王延峰，一种单帧监督视频时序动作检测与分类方法及系统，专利号:202111190861.7，授权号：CN113936174B，授权日期：2025/07/29
  55. 张娅, 鞠陈*, 郑锟浩*, 刘金祥*, 谢伟迪, 王延峰，弱监督视频时序动作检测与分类方法及系统，专利号:CN202211056034.3，授权号：CN115272941B，授权日期：2025/09/02