Sihao Wu

17 papers A* 2Misc 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Preference alignment on diffusion models: A comprehensive survey for image generation and editing.
Comput. Sci. Rev.
Sihao Wu, Xiaonan Si, Chi Xing, Jianhong Wang, Gaojie Jin, Guangliang Cheng, Xiaowei Huang
2025 J jnl
Activation Steering Meets Preference Optimization: Defense Against Jailbreaks in Vision Language Models.
CoRR
Sihao Wu, Gaojie Jin, Wei Huang, Jianhong Wang, Xiaowei Huang
2025 A* conf
Enhancing Robust Fairness via Confusional Spectral Regularization.
ICLR
Gaojie Jin, Sihao Wu, Jiaxu Liu, Tianjin Huang, Ronghui Mu
2025 J jnl
Enhancing Robust Fairness via Confusional Spectral Regularization.
CoRR
Gaojie Jin, Sihao Wu, Jiaxu Liu, Tianjin Huang, Ronghui Mu
2025 J jnl
Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing.
CoRR
Sihao Wu, Xiaonan Si, Chi Xing, Jianhong Wang, Gaojie Jin, Guangliang Cheng, Lijun Zhang, Xiaowei Huang
2024 J jnl
A survey of safety and trustworthiness of large language models through the lens of verification and validation.
Artif. Intell. Rev.
Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa
2024 Misc conf
Chinese NER Based on Adversarial Training and Interactive Attention.
ICMLC
Sihao Wu, Xiaoling Wu, Rui Xie, Wentao Zhan
2024 — conf
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE.
ECML/PKDD (3)
Jiaxu Liu, Xinping Yi, Sihao Wu, Xiangyu Yin, Tianle Zhang, Xiaowei Huang, Shi Jin
2024 J jnl
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE.
CoRR
Jiaxu Liu, Xinping Yi, Sihao Wu, Xiangyu Yin, Tianle Zhang, Xiaowei Huang, Shi Jin
2024 — conf
Data Augmentation for Continual RL via Adversarial Gradient Episodic Memory.
ICONIP (4)
Sihao Wu, Xingyu Zhao, Xiaowei Huang
2024 J jnl
Data Augmentation for Continual RL via Adversarial Gradient Episodic Memory.
CoRR
Sihao Wu, Xingyu Zhao, Xiaowei Huang
2024 J jnl
Integrating Object Detection Modality into Visual Language Model for Enhanced Autonomous Driving Agent.
CoRR
Linfeng He, Yiming Sun, Sihao Wu, Jiaxu Liu, Xiaowei Huang
2024 A* conf
Representation-Based Robustness in Goal-Conditioned Reinforcement Learning.
AAAI
Xiangyu Yin, Sihao Wu, Jiaxu Liu, Meng Fang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan
2024 J jnl
Robust RL with LLM-Driven Data Synthesis and Policy Adaptation for Autonomous Driving.
CoRR
Sihao Wu, Jiaxu Liu, Xiangyu Yin, Guangliang Cheng, Xingyu Zhao, Meng Fang, Xinping Yi, Xiaowei Huang
2024 J jnl
Tiny Refinements Elicit Resilience: Toward Efficient Prefix-Model Against LLM Red-Teaming.
CoRR
Jiaxu Liu, Xiangyu Yin, Sihao Wu, Jianhong Wang, Meng Fang, Xinping Yi, Xiaowei Huang
2023 J jnl
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation.
CoRR
Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa
2023 J jnl
ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning.
CoRR
Xiangyu Yin, Sihao Wu, Jiaxu Liu, Meng Fang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan