@article{xiang2025seephys,title={SeePhys: Does Seeing Help Thinking? -- Benchmarking Vision-Based Physics Reasoning},author={Xiang, Kun and Li, Heng and Zhang, Terry Jingchen and Huang, Yinya and Liu, Zirong and Qu, Peixin and He, Jixi and Chen, Jiaqi and Yu-Jie, Yuan and Han, Jianhua and Xu, Hang and Li, Hanhui and Sachan, Mrinmaya and Liang, Xiaodan},journal={arxiv.org/pdf/2505.19099v1},year={2025},huggingface={https://huggingface.co/datasets/SeePhys/SeePhys},}
Can Atomic Step Decomposition Enhance the Self-structured Reasoning of Multimodal Large Models?
Kun Xiang, Zhili Liu, Zihao Jiang, Yunshuang Nie, and 7 more authors
@article{xiang2025can,title={Can Atomic Step Decomposition Enhance the Self-structured Reasoning of Multimodal Large Models?},author={Xiang, Kun and Liu, Zhili and Jiang, Zihao and Nie, Yunshuang and Cai, Kaixin and Yin, Yiyang and Huang, Runhui and Fan, Haoxiang and Li, Hanhui and Huang, Weiran and others},journal={arXiv preprint arXiv:2503.06252},year={2025},}
2024
Emova: Empowering language models to see, hear and speak with vivid emotions
Kai Chen, Yunhao Gou, Runhui Huang, Zhili Liu, and 7 more authors
@article{chen2024emova,title={Emova: Empowering language models to see, hear and speak with vivid emotions},author={Chen, Kai and Gou, Yunhao and Huang, Runhui and Liu, Zhili and Tan, Daxin and Xu, Jing and Wang, Chunwei and Zhu, Yi and Zeng, Yihan and Yang, Kuo and others},journal={arXiv preprint arXiv:2409.18042},year={2024},}
Journal
A prior knowledge-guided distributionally robust optimization-based adversarial training strategy for medical image classification
Shancheng Jiang, Zehui Wu, Haiqiong Yang, Kun Xiang, and 2 more authors
@article{jiang2024prior,title={A prior knowledge-guided distributionally robust optimization-based adversarial training strategy for medical image classification},author={Jiang, Shancheng and Wu, Zehui and Yang, Haiqiong and Xiang, Kun and Ding, Weiping and Chen, Zhen-Song},journal={Information Sciences},volume={673},pages={120705},year={2024},publisher={Elsevier},}
AtomThink: A Slow Thinking Framework for Multimodal Mathematical Reasoning
Kun Xiang, Zhili Liu, Zihao Jiang, Yunshuang Nie, and 7 more authors
@article{xiang2024atomthink,title={AtomThink: A Slow Thinking Framework for Multimodal Mathematical Reasoning},author={Xiang, Kun and Liu, Zhili and Jiang, Zihao and Nie, Yunshuang and Huang, Runhui and Fan, Haoxiang and Li, Hanhui and Huang, Weiran and Zeng, Yihan and Han, Jianhua and others},journal={arXiv preprint arXiv:2411.11930},year={2024},}
2023
Toward robust diagnosis: A contour attention preserving adversarial defense for covid-19 detection
Kun Xiang, Xing Zhang, Jinwen She, Jinpeng Liu, and 3 more authors
In Proceedings of the AAAI Conference on Artificial Intelligence, 2023
@inproceedings{xiang2023toward,title={Toward robust diagnosis: A contour attention preserving adversarial defense for covid-19 detection},author={Xiang, Kun and Zhang, Xing and She, Jinwen and Liu, Jinpeng and Wang, Haohan and Deng, Shiqi and Jiang, Shancheng},booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},volume={37},number={3},pages={2928--2937},year={2023},}
2021
A novel weight pruning strategy for light weight neural networks with application to the diagnosis of skin disease
Kun Xiang, Linlin Peng, Haiqiong Yang, Mingxin Li, and 3 more authors
@article{xiang2021novel,title={A novel weight pruning strategy for light weight neural networks with application to the diagnosis of skin disease},author={Xiang, Kun and Peng, Linlin and Yang, Haiqiong and Li, Mingxin and Cao, Zhongfa and Jiang, Shancheng and Qu, Gang},journal={Applied Soft Computing},volume={111},pages={107707},year={2021},publisher={Elsevier},}
