Image classification using RBM to encode local descriptors with group sparse learning. - Jinzhuo Wang; Wenmin Wang 001; Ronggang Wang; Wen Gao 001 (ICIP, 2015)

A compact shot representation for video semantic indexing. - Jinzhuo Wang; Wenmin Wang 001; Ronggang Wang; Wen Gao 001 (ICIP, 2015)

Learning class-specific pooling shapes for image classification. - Jinzhuo Wang; Wenmin Wang 001; Ronggang Wang; Wen Gao 001 (ICME, 2015)

Tube ConvNets: Better exploiting motion for action recognition. - Zhihao Li 002; Wenmin Wang 001; Nannan Li 001; Jinzhuo Wang (ICIP, 2016)

Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition. - Jinzhuo Wang; Wenmin Wang 001; Xiongtao Chen; Ronggang Wang; Wen Gao 001 (NIPS, 2016)

CSPS: An Adaptive Pooling Method for Image Classification. - Jinzhuo Wang; Wenmin Wang 001; Ronggang Wang; Wen Gao 001 (IEEE Trans. Multim., 2016)

Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation. - Jinzhuo Wang; Wenmin Wang 001; Ronggang Wang; Wen Gao 001 (AAAI, 2017)

Collaborative Deep Networks for Pedestrian Detection. - Hongmeng Song; Wenmin Wang 001; Jinzhuo Wang; Ronggang Wang (BigMM, 2017)

Attention-Based Two-Phase Model for Video Action Detection. - Xiongtao Chen; Wenmin Wang 001; Weimian Li; Jinzhuo Wang (CAIP (2), 2017)

A joint model for action localization and classification in untrimmed video with visual attention. - Weimian Li; Wenmin Wang 001; Xiongtao Chen; Jinzhuo Wang; Ge Li 002 (ICME, 2017)

Video Imagination from a Single Image with Transformation Generation. - Baoyang Chen; Wenmin Wang 001; Jinzhuo Wang (ACM Multimedia (Thematic Workshops), 2017)

Learning Object-Centric Transformation for Video Prediction. - Xiongtao Chen; Wenmin Wang 001; Jinzhuo Wang; Weimian Li (ACM Multimedia, 2017)

Collaborative Networks for Person Verification. - Yihao Zhang; Wenmin Wang 001; Jinzhuo Wang (MuVer@MM, 2017)

Aligned Local Descriptors and Hierarchical Global Features for Person Re-Identification. - Yihao Zhang; Wenmin Wang 001; Jinzhuo Wang (PCM (2), 2017)

Long-term video interpolation with bidirectional predictive network. - Xiongtao Chen; Wenmin Wang 001; Jinzhuo Wang (VCIP, 2017)

Deep discriminative network with inception module for person re-identification. - Yihao Zhang; Wenmin Wang 001; Jinzhuo Wang (VCIP, 2017)

Video Imagination from a Single Image with Transformation Generation. - Baoyang Chen; Wenmin Wang 001; Jinzhuo Wang; Xiongtao Chen (CoRR, 2017)

Long-Term Video Interpolation with Bidirectional Predictive Network. - Xiongtao Chen; Wenmin Wang 001; Jinzhuo Wang; Weimian Li; Baoyang Chen (CoRR, 2017)

Beyond Knowledge Distillation: Collaborative Learning for Bidirectional Model Assistance. - Jinzhuo Wang; Wenmin Wang 001; Wen Gao 001 (IEEE Access, 2018)

Multiscale Deep Alternative Neural Network for Large-Scale Video Classification. - Jinzhuo Wang; Wenmin Wang 001; Wen Gao 001 (IEEE Trans. Multim., 2018)

Predicting Diverse Future Frames With Local Transformation-Guided Masking. - Jinzhuo Wang; Wenmin Wang 001; Wen Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

More Information Supervised Probabilistic Deep Face Embedding Learning. - Ying Huang; Shangfeng Qiu; Wenwei Zhang; Xianghui Luo; Jinzhuo Wang (ICML, 2020)

Deep Frequent Spatial Temporal Learning for Face Anti-Spoofing. - Ying Huang; Wenwei Zhang; Jinzhuo Wang (CoRR, 2020)

Fast and Accurate Action Detection in Videos With Motion-Centric Attention Model. - Jinzhuo Wang; Wenmin Wang 001; Wen Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography. - Navin Cooray; Zhenglin Li; Jinzhuo Wang; Christine Lo; Mahnaz Arvaneh; Mkael Symmonds; Michele T. M. Hu; Maarten De Vos; Lyudmila S. Mihaylova (FUSION, 2022)

Medical knowledge-enhanced prompt learning for diagnosis classification from clinical text. - Yuxing Lu; Xukai Zhao; Jinzhuo Wang (ClinicalNLP@ACL, 2023)

MoTIF: a Method for Trustworthy Dynamic Multimodal Learning on Omics. - Yuxing Lu; Rui Peng; Jinzhuo Wang; Bingheng Jiang (BIBM, 2023)

Multiomics dynamic learning enables personalized diagnosis and prognosis for pancancer and cancer subtypes. - Yuxing Lu; Rui Peng; Lingkai Dong; Kun Xia; Renjie Wu 009; Shuai Xu; Jinzhuo Wang (Briefings Bioinform., 2023)

Multiscale Scoring Model for Enhanced Urban Perception Evaluation. - Xukai Zhao; Yuxing Lu; Jinzhuo Wang (ICASSP, 2024)

Enhancing Multimodal Knowledge Graph Representation Learning through Triple Contrastive Learning. - Yuxing Lu; Weichen Zhao; Nan Sun; Jinzhuo Wang (IJCAI, 2024)

BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation. - Zhengrui Guo; Fangxu Zhou; Wei Wu; Qichen Sun; Lishuang Feng; Jinzhuo Wang; Hao Chen (CoRR, 2024)

FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification. - Zhengrui Guo; Conghao Xiong; Jiabo Ma; Qichen Sun; Lishuang Feng; Jinzhuo Wang; Hao Chen 011 (CoRR, 2024)

FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification. - Zhengrui Guo; Conghao Xiong; Jiabo Ma; Qichen Sun; Lishuang Feng; Jinzhuo Wang; Hao Chen (CVPR, 2025)

BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation. - Zhengrui Guo; Fangxu Zhou; Wei Wu; Qichen Sun; Lishuang Feng; Jinzhuo Wang; Hao Chen 011 (ICLR, 2025)

Neuron Platonic Intrinsic Representation From Dynamics Using Contrastive Learning. - Wei Wu; Can Liao; Zizhen Deng; Zhengrui Guo; Jinzhuo Wang (ICLR, 2025)

Molecule-dynamic-based Aging Clock and Aging Roadmap Forecast with Sundial. - Wei Wu; Zizhen Deng; Chi Zhang; Can Liao; Jinzhuo Wang (CoRR, 2025)

Biomedical Knowledge Graph: A Survey of Domains, Tasks, and Real-World Applications. - Yuxing Lu; Sin Yee Goi; Xukai Zhao; Jinzhuo Wang (CoRR, 2025)

Context Matters: Query-aware Dynamic Long Sequence Modeling of Gigapixel Images. - Zhengrui Guo; Qichen Sun; Jiabo Ma; Lishuang Feng; Jinzhuo Wang; Hao Chen (CoRR, 2025)

KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment. - Yuxing Lu; Jinzhuo Wang (CoRR, 2025)

Comprehensive Manuscript Assessment with Text Summarization Using 69707 articles. - Qichen Sun; Yuxing Lu; Kun Xia; Li Chen; He Sun 010; Jinzhuo Wang (CoRR, 2025)

Any-to-Any Learning in Computational Pathology via Triplet Multimodal Pretraining. - Qichen Sun; Zhengrui Guo; Rui Peng; Hao Chen; Jinzhuo Wang (CoRR, 2025)

DoctorRAG: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients. - Yuxing Lu; Gecheng Fu; Wei Wu; Xukai Zhao; Sin Yee Goi; Jinzhuo Wang (CoRR, 2025)

Interpretable niche-based cell‒cell communication inference using multi-view graph neural networks. - Juntian Qi; Zhengchao Luo; Chuan-Yun Li; Jinzhuo Wang; Wanqiu Ding (Nat. Comput. Sci., 2025)

OpenBreastUS: Benchmarking Neural Operators for Wave Imaging Using Breast Ultrasound Computed Tomography. - Zhijun Zeng; Youjia Zheng; Hao Hu; Zeyuan Dong; Yihang Zheng; Xinliang Liu; Jinzhuo Wang; Zuoqiang Shi; Linfeng Zhang; Yubing Li; He Sun 010 (CoRR, 2025)