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Research Area:

Computer Vision, Multimodal Large Model, Deep Learning, Medical Image and Information Processing, Artificial Intelligence

Educational Background

Professional Experience

Honors & Awards

Selected Publication

[1] Cao, G., Lan, X., Huang, W., Zhang, J., Jiang, D., & Wang, Y. (2025). DS-Det: Single-Query Paradigm and Attention Disentangled Learning for Flexible Object Detection. ACMMM 2025.

[2] Huang, W., Cao, G., Xia, J., Chen, J., Wang, H., & Zhang, J. (2025). h-calibration: Rethinking Classifier Recalibration with Probabilistic Error-Bounded Objective. IEEE Trans. on PAMI.

[3] Xia, J., Xu, M., Huang, W., Zhang, J., Zhang, H., & Xiao, C. (2025). Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment. IJCV 2025.

[4] Liang, T., Lin, K. Y., Tan, C., Zhang, J., Zheng, W. S., & Hu, J. F. (2025). Referdino: Referring video object segmentation with visual grounding foundations. ICCV 2025.

[5] Jiahao Xia, Yike Wu, Wenjian Huang, Jianguo Zhang, Jian Zhang. Unsupervised Part Discovery via Descriptor-Based Masked Image Restoration with Optimized Constraints. ICCV 2025.

[6] Guiping Cao, Tao Wang, Wenjian Huang, Xiangyuan Lan, Jianguo Zhang, Jiang Dongmei. Open-Det: An Efficient Learning Framework for Open-Ended Detection. ICML 2025.

[7] Peijia Qin, Jianguo Zhang. Learning to Quantize for Training Vector-Quantized Networks. ICML 2025.

[8] Yunlong Tang, Jing Bi, Siting Xu, Luchuan Song, Susan Liang, Teng Wang, Daoan Zhang, Jie An, Jingyang Lin, Rongyi Zhu, Ali Vosoughi, Chao Huang, Zeliang Zhang, Pinxin Liu, Mingqian Feng, Feng Zheng, Jianguo Zhang, Ping Luo, Jiebo Luo, Chenliang Xu (2025). Video understanding with large language models: A survey. IEEE Transactions on Circuits and Systems for Video Technology.

[9] Guiping Cao, Wenjian Huang, Xiangyuan Lan, Dongmei Jiang, Jianguo Zhang, Yaowei Wang (2025). Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection. IEEE Transactions On MultiMedia.

[10] Yu Long, Qinghua Lin, Zhihua Wang, Kai Zhang Zhang, Jianguo Zhang, Yuming Fang Fang (2025). Enhancing Low-Light Images: A Synthetic Data Perspective on Practical and Generalizable Solutions. AAAI 2025.

[11] Jingkun Chen, Wenjian Huang, Jianguo Zhang, Kurt Debattista, Jungong Han (2025). Addressing inconsistent labeling with cross image matching for scribble-based medical image segmentation. IEEE Trans. On Image Processing.

[12] Shuaijie Shen, Chao Wang, Renzhuo Huang, Yan Zhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng (2025). SpikingSMMs: Learning long sequences with sparse and parallel spiking state space models. AAAI 2025.

[13] Yuan, J., Siakallis, L., Li, H. B., Brandner, S., Zhang, J., Li, C., … & Bisdas, S. (2024). Structural-and DTI-MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2–4 glioma patients: a deep Radiomics Approach. BMC Medical Imaging, 24(1), 104.

[14] Wang, H., Luo, S., Hu, G., & Zhang, J. (2024). Gradient-Guided Modality Decoupling for Missing-Modality Robustness. Proceedings of the AAAI Conference on Artificial Intelligence, 38(14), 15483-15491.

[15] Jun Cen, Chenfei Wu, Xiao Liu, Shengming Yin, Yixuan Pei, Jinglong Yang, Qifeng Chen, Nan Duan, and Jianguo Zhang. 2024. Using left and right brains together: towards vision and language planning. In Proceedings of the 41st International Conference on Machine Learning (ICML'24), Vol. 235. JMLR.org, Article 230, 5982–6001.

[16] Xia, J., Huang, W., Xu, M., Zhang, J., Zhang, H., Sheng, Z., & Xu, D. (2024). Unsupervised Part Discovery via Dual Representation Alignment. IEEE Transactions on Pattern Analysis and Machine Intelligence.

[17] Cao, G., Huang, W., Lan, X., Zhang, J., Jiang, D., & Wang, Y. (2024, August). MLP-DINO: category modeling and query graphing with deep MLP for object detection. In Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI-24), Jeju, Republic of Korea (pp. 3-9).

[18] Luo, X., Xu, Q., Wang, Z., Huang, C., Liu, C., Jin, X., & Zhang, J. (2024). A Lesion-Fusion Neural Network for Multi-View Diabetic Retinopathy Grading. IEEE Journal of Biomedical and Health Informatics.

[19] Li, B., Leng, L., Shen, S., Zhang, K., Zhang, J., Liao, J., & Cheng, R. (2024). Efficient Deep Spiking Multilayer Perceptrons With Multiplication-Free Inference. IEEE Transactions on Neural Networks and Learning Systems.

Others