Wenkang Qin

According to our database, Wenkang Qin authored at least 13 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction.

Chaojun Ni, Guosheng Zhao, Xiaofeng Wang, Zheng Zhu, Wenkang Qin, Xinze Chen, Guanghong Jia, Guan Huang, Wenjun Mei

CoRR, August, 2025

Humanoid Occupancy: Enabling A Generalized Multimodal Occupancy Perception System on Humanoid Robots.

Wei Cui, Haoyu Wang, Wenkang Qin, Yijie Guo, Gang Han, Wen Zhao, Jiahang Cao, Zhang Zhang, Jiaru Zhong, Jingkai Sun, Pihai Sun, Shuai Shi, Botuo Jiang, Jiahao Ma, Jiaxu Wang, Hao Cheng, Zhichao Liu, Yang Wang, Zheng Zhu, Guan Huang, Jian Tang, Qiang Zhang

CoRR, July, 2025

EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence.

Xinjie Wang, Liu Liu, Yu Cao, Ruiqi Wu, Wenkang Qin, Dehui Wang, Wei Sui, Zhizhong Su

CoRR, June, 2025

RoboTransfer: Geometry-Consistent Video Diffusion for Robotic Visual Policy Transfer.

Liu Liu, Xiaofeng Wang, Guosheng Zhao, Keyu Li, Wenkang Qin, Jiaxiong Qiu, Zheng Zhu, Guan Huang, Zhizhong Su

CoRR, May, 2025

WonderTurbo: Generating Interactive 3D World in 0.72 Seconds.

Chaojun Ni, Xiaofeng Wang, Zheng Zhu, Weijie Wang, Haoyun Li, Guosheng Zhao, Jie Li, Wenkang Qin, Guan Huang, Wenjun Mei

CoRR, April, 2025

ReconDreamer++: Harmonizing Generative and Reconstructive Models for Driving Scene Representation.

Guosheng Zhao, Xiaofeng Wang, Chaojun Ni, Zheng Zhu, Wenkang Qin, Guan Huang, Xingang Wang

CoRR, March, 2025

ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration.

Chaojun Ni, Guosheng Zhao, Xiaofeng Wang, Zheng Zhu, Wenkang Qin, Guan Huang, Chen Liu, Yuyin Chen, Yida Wang, Xueyang Zhang, Yifei Zhan, Kun Zhan, Peng Jia, Xianpeng Lang, Xingang Wang, Wenjun Mei

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

PathInsight: Instruction Tuning of Multimodal Datasets and Models for Intelligence Assisted Diagnosis in Histopathology.

Xiaomin Wu, Rui Xu, Pengchen Wei, Wenkang Qin, Peixiang Huang, Ziheng Li, Lin Luo

CoRR, 2024

2023

What a Whole Slide Image Can Tell? Subtype-guided Masked Transformer for Pathological Image Captioning.

Wenkang Qin, Rui Xu, Peixiang Huang, Xiaomin Wu, Heyu Zhang, Lin Luo

CoRR, 2023

SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training.

Rui Xu, Wenkang Qin, Peixiang Huang, Hao Wang, Lin Luo

Proceedings of the 34th British Machine Vision Conference 2023, 2023

Assessing and Enhancing Robustness of Deep Learning Models with Corruption Emulation in Digital Pathology.

Peixiang Huang, Songtao Zhang, Yulu Gan, Rui Xu, Rongqi Zhu, Wenkang Qin, Limei Guo, Shan Jiang, Lin Luo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Pathological Image Contrastive Self-supervised Learning.

Wenkang Qin, Shan Jiang, Lin Luo

Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

PathTR: Context-Aware Memory Transformer for Tumor Localization in Gigapixel Pathology Images.

Wenkang Qin, Rui Xu, Shan Jiang, Tingting Jiang, Lin Luo

Proceedings of the Computer Vision - ACCV 2022, 2022