Wenhao Tang (唐文浩)

Ph.D. Student

Visual Computing and Intelligent Perception (VCIP), Computer Science
Nankai University, China

Biography

I am a second-year Ph.D. student at the VCIP, Computer Science, Nankai University, advised by Prof. Ming-Ming Cheng and Prof. Xiang Li. I received my M.S. and B.Eng. degrees in Software Engineering from Chongqing University, advised by Prof. Sheng Huang in 2024 and 2021, respectively.

My research interests include Computational Pathology, Unified Multi-modal LLM, and LLM-based Agent.

News

[09/2025] One paper is accepted at NeurIPS 2025.
[09/2025] Undergraduate Excellence Award (MSc), Chongqing University.
[08/2025] I start my new journey at Shanghai AI Lab, working with Dr. Junjun He.
[03/2024] One paper is accepted at CVPR 2024.
[10/2023] One paper has been oral reported at ICCV 2023.

Selected Publications

*: First author, †: Corresponding author

	Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology Wenhao Tang, Rong Qin, Heng Fang, Fengtao Zhou, Hao Chen, Xiang Li† and Ming-Ming Cheng† Conference on Neural Information Processing Systems (NeurIPS), 2025. [paper] [code]
	Multiple Instance Learning Framework with Masked Hard Instance Mining for Gigapixel Histopathology Image Analysis Wenhao Tang, Sheng Huang†, Heng Fang, Fengtao Zhou, Bo Liu, Qingshan Liu International Journal of Computer Vision (IJCV), under review, 2025. [paper] [code]
	Visual Instruction Pretraining for Domain-Specific Foundation Models Yuxuan Li, Yicheng Zhang, Wenhao Tang, Yimian Dai, Ming-Ming Cheng, Xiang Li†, and Jian Yang† arXiv, 2025. [paper] [code] [中文解析]
	Revisiting Data Challenges of Computational Pathology: Pack-based Multiple Instance Learning Wenhao Tang, Heng Fang, Ge Wu, Xiang Li† and Ming-Ming Cheng† International Conference on Learning Representations (ICLR), under review, 2025. [paper] [code] [中文解析]
	Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology Wenhao Tang, Fengtao Zhou, Sheng Huang†, Xiang Zhu, Yi Zhang, and Bo Liu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [paper] [code]
	Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification Wenhao Tang, Sheng Huang†, Xiaoxian Zhang, Fengtao Zhou, Yi Zhang, and Bo Liu IEEE/CVF International Conference on Computer Vision (ICCV), Oral, 1.8% (152/8260), 2023. [paper] [code]

	PicT: A Slim Weakly Supervised Vision Transformer for Pavement Distress Classification Wenhao Tang, Sheng Huang†, Xiaoxian Zhang, and Luwen Huangfu Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), 3076-3084, 2022. [paper] [code]
	Weakly Supervised Patch Label Inference Networks for Efficient Pavement Distress Detection and Recognition in the Wild Sheng Huang†, Wenhao Tang, Guixin Huang, Luwen Huangfu, and Dan Yang IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS), 2023. [paper] [code]
	An Iteratively Optimized Patch Label Inference Network for Automatic Pavement Distress Detection Wenhao Tang, Sheng Huang†, Qiming Zhao, Ren Li, and Luwen Huangfu IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS) 23 (7), 8652-8661, 2021. [paper] [code]
	SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image Classification Heng Fang, Sheng Huang†, Wenhao Tang, Luwen Huangfu, and Bo Liu Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM), 2024. [paper] [code]

Experience

Shanghai AI Lab, Shanghai, China

Aug. 2025 – Present

Research Intern at General Medical Group
- I work on LLM agent for medical applications.
Nankai University, Tianjin, China

Sep. 2024 – present

Ph.D. Student at Visual Computing and Intelligent Perception (VCIP)
- I work with Prof. Ming-Ming Cheng and Xiang Li.
Chongqing University, Chongqing, China

2021 – 2024

M.S. in Software Engineering
- Graduated with honors and received National Endeavor Scholarship.
Chongqing University, Chongqing, China

2017 – 2021

B.Eng. in Software Engineering
- Graduated with Honors.

Honors & Awards

Undergraduate Excellence Award, Chongqing University, 2025
National Endeavor Scholarship (MSc), Chongqing University, 2024
Oral Report, ICCV, 2023
Undergraduate Excellence Award, Chongqing University, 2021

Professional Activities

Review:
- NeurIPS, ICLR, CVPR, ICCV, ACM MM, TIP, T-PAMI, IJCV.
Collaborators:
I sincerely thank Prof. Hao Chen, Dr. Fengtao Zhou, Dr. Rong Qin, and Dr. Heng Fang for their valuable collaboration and support in my research.