Yichuan Mo

17 papers A* 6Misc 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Baichuan-M3: Modeling Clinical Inquiry for Reliable Medical Decision-Making.
CoRR
Chengfeng Dou, Fan Yang, Fei Li, Jiyuan Jia, Qiang Ju, Shuai Wang, Tianpeng Li, Xiangrong Zeng, Yijie Zhou, Hongda Zhang, Jinyang Tai, Linzhuang Sun, Peidong Guo, Yichuan Mo, Xiaochuan Wang, Hengfu Cui, Zhishou Zhang
2025 J jnl
Are Smarter LLMs Safer? Exploring Safety-Reasoning Trade-offs in Prompting and Fine-Tuning.
CoRR
Ang Li, Yichuan Mo, Mingjie Li, Yifei Wang, Yisen Wang
2025 J jnl
Baichuan-M2: Scaling Medical Capability with Large Verifier System.
CoRR
Chengfeng Dou, Chong Liu, Fan Yang, Fei Li, Jiyuan Jia, Mingyang Chen, Qiang Ju, Shuai Wang, Shunya Dang, Tianpeng Li, Xiangrong Zeng, Yijie Zhou, Chenzheng Zhu, Da Pan, Fei Deng, Guangwei Ai, Guosheng Dong, Hongda Zhang, Jinyang Tai, Jixiang Hong, Kai Lu, Linzhuang Sun, Peidong Guo, Qian Ma, Rihui Xin, Shihui Yang, Shusen Zhang, Yichuan Mo, Zheng Liang, Zhishou Zhang, Hengfu Cui, Zuyi Zhu, Xiaochuan Wang
2025 J jnl
Decoding Large Language Diffusion Models with Foreseeing Movement.
CoRR
Yichuan Mo, Quan Chen, Mingjie Li, Zeming Wei, Yisen Wang
2025 J jnl
Generalist++: A Meta-learning Framework for Mitigating Trade-off in Adversarial Training.
CoRR
Yisen Wang, Yichuan Mo, Hongjun Wang, Junyi Li, Zhouchen Lin
2024 A* conf
Fight Back Against Jailbreaking via Prompt Adversarial Tuning.
NeurIPS
Yichuan Mo, Yuji Wang, Zeming Wei, Yisen Wang
2024 J jnl
On the Adversarial Transferability of Generalized "Skip Connections".
CoRR
Yisen Wang, Yichuan Mo, Dongxian Wu, Mingjie Li, Xingjun Ma, Zhouchen Lin
2024 A* conf
PID: Prompt-Independent Data Protection Against Latent Diffusion Models.
ICML
Ang Li, Yichuan Mo, Mingjie Li, Yisen Wang
2024 J jnl
PID: Prompt-Independent Data Protection Against Latent Diffusion Models.
CoRR
Ang Li, Yichuan Mo, Mingjie Li, Yisen Wang
2024 J jnl
Studious Bob Fight Back Against Jailbreaking via Prompt Adversarial Tuning.
CoRR
Yichuan Mo, Yuji Wang, Zeming Wei, Yisen Wang
2024 A* conf
TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors.
ICML
Yichuan Mo, Hui Huang, Mingjie Li, Ang Li, Yisen Wang
2024 J jnl
TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors.
CoRR
Yichuan Mo, Hui Huang, Mingjie Li, Ang Li, Yisen Wang
2022 A* conf
DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness.
KDD
Qibing Ren, Yiting Chen, Yichuan Mo, Qitian Wu, Junchi Yan
2022 A* conf
Improving Generative Adversarial Networks via Adversarial Learning in Latent Space.
NeurIPS
Yang Li, Yichuan Mo, Liangliang Shi, Junchi Yan
2022 Misc conf
Multi-Task Learning Improves Synthetic Speech Detection.
ICASSP
Yichuan Mo, Shilin Wang
2022 A* conf
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture.
NeurIPS
Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang
2022 J jnl
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture.
CoRR
Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang