2025

PromptBridge: Cross-Model Prompt Transfer for Large Language Models
PromptBridge: Cross-Model Prompt Transfer for Large Language Models

Yaxuan Wang, Quan Liu, Zhenting Wang, Zichao Li, Wei Wei, Yang Liu, Yujia Bao

Arxiv 2025

[Paper]

PromptBridge: Cross-Model Prompt Transfer for Large Language Models

Yaxuan Wang, Quan Liu, Zhenting Wang, Zichao Li, Wei Wei, Yang Liu, Yujia Bao

Arxiv 2025

[Paper]

Supervised Fine-Tuning on Ambiguous Preference Pairs Boosts LLM Alignment

Jinlong Pang, Zhaowei Zhu, Na Di, Yichi Zhang, Yaxuan Wang, Chen Qian, Yang Liu

OpenReview 2025

[Paper]

Supervised Fine-Tuning on Ambiguous Preference Pairs Boosts LLM Alignment

Jinlong Pang, Zhaowei Zhu, Na Di, Yichi Zhang, Yaxuan Wang, Chen Qian, Yang Liu

OpenReview 2025

[Paper]

Stabilizing Self-Consuming Diffusion Models with Latent Space Filtering

Zhongteng Cai, Yaxuan Wang, Yang Liu, Xueru Zhang

The 40th Annual AAAI Conference on Artificial Intelligence (AAAI) 2026

[Paper]

Stabilizing Self-Consuming Diffusion Models with Latent Space Filtering

Zhongteng Cai, Yaxuan Wang, Yang Liu, Xueru Zhang

The 40th Annual AAAI Conference on Artificial Intelligence (AAAI) 2026

[Paper]

DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning
DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning

Yaxuan Wang, Chris Yuhao Liu, Quan Liu, Jinlong Pang, Wei Wei, Yujia Bao, Yang Liu

Machine Unlearning for Generative AI Workshop for ICML2025; Under review. 2025

[Paper]

DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning

Yaxuan Wang, Chris Yuhao Liu, Quan Liu, Jinlong Pang, Wei Wei, Yujia Bao, Yang Liu

Machine Unlearning for Generative AI Workshop for ICML2025; Under review. 2025

[Paper]

Improving Data Efficiency via Curating LLM-Driven Rating Systems
Improving Data Efficiency via Curating LLM-Driven Rating Systems

Jinlong Pang, Jiaheng Wei, Ankit Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei

The Thirteenth International Conference on Learning Representations (ICLR) 2025

[Code] [Paper]

Improving Data Efficiency via Curating LLM-Driven Rating Systems

Jinlong Pang, Jiaheng Wei, Ankit Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei

The Thirteenth International Conference on Learning Representations (ICLR) 2025

[Code] [Paper]

LLM Unlearning via Loss Adjustment with Only Forget Data

Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Shah, Yujia Bao, Yang Liu, Wei Wei

The Thirteenth International Conference on Learning Representations (ICLR) 2025

[Code] [Paper]

LLM Unlearning via Loss Adjustment with Only Forget Data

Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Shah, Yujia Bao, Yang Liu, Wei Wei

The Thirteenth International Conference on Learning Representations (ICLR) 2025

[Code] [Paper]

2024

Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels

Yaxuan Wang, Hao Cheng, Jing Xiong, Qingsong Wen, Han Jia, Ruixuan Song, Liyuan Zhang, Zhaowei Zhu, Yang Liu

The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2025

[Code] [Paper]

Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels

Yaxuan Wang, Hao Cheng, Jing Xiong, Qingsong Wen, Han Jia, Ruixuan Song, Liyuan Zhang, Zhaowei Zhu, Yang Liu

The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2025

[Code] [Paper]

Large Language Model Unlearning via Embedding-Corrupted Prompts
Large Language Model Unlearning via Embedding-Corrupted Prompts

Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan, Yang Liu

The 38th Annual Conference on Neural Information Processing Systems (NeurIPS) 2024

[Code] [Paper]

Large Language Model Unlearning via Embedding-Corrupted Prompts

Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan, Yang Liu

The 38th Annual Conference on Neural Information Processing Systems (NeurIPS) 2024

[Code] [Paper]

2023

Evaluating the perceived safety of urban city via maximum entropy deep inverse reinforcement learning

Yaxuan Wang, Zhixin Zeng, Qijun Zhao

Asian Conference on Machine Learning (ACML) 2023

[Paper]

Evaluating the perceived safety of urban city via maximum entropy deep inverse reinforcement learning

Yaxuan Wang, Zhixin Zeng, Qijun Zhao

Asian Conference on Machine Learning (ACML) 2023

[Paper]

2022

A complete reinforcement-learning-based framework for urban-safety perception

Yaxuan Wang, Zhixin Zeng, Qiushan Li, Yingrui Deng

ISPRS International Journal of Geo-Information 2022

[Paper]

A complete reinforcement-learning-based framework for urban-safety perception

Yaxuan Wang, Zhixin Zeng, Qiushan Li, Yingrui Deng

ISPRS International Journal of Geo-Information 2022

[Paper]