2026
PromptBridge: Cross-Model Prompt Transfer for Large Language Models Behavior Transfer
Yaxuan Wang, Quan Liu, Zhenting Wang, Zichao Li, Wei Wei, Yang Liu, Yujia Bao
The Conference on Language Modeling (COLM) 2026
Studies whether optimized behavior can be preserved and transferred across heterogeneous LLMs as model capability and cost constraints change.
PromptBridge: Cross-Model Prompt Transfer for Large Language Models Behavior Transfer
Yaxuan Wang, Quan Liu, Zhenting Wang, Zichao Li, Wei Wei, Yang Liu, Yujia Bao
The Conference on Language Modeling (COLM) 2026
Studies whether optimized behavior can be preserved and transferred across heterogeneous LLMs as model capability and cost constraints change.
Observations and Remedies for Large Language Model Bias in Self-Consuming Performative Loop Model Behavior
Yaxuan Wang, Zhongteng Cai, Yujia Bao, Xueru Zhang, Yang Liu
The 64th Annual Meeting of the Association for Computational Linguistics (ACL) - Main Conference 2026
Studies LLM bias in self-consuming performative loops and remedies for improving model behavior under repeated feedback.
Observations and Remedies for Large Language Model Bias in Self-Consuming Performative Loop Model Behavior
Yaxuan Wang, Zhongteng Cai, Yujia Bao, Xueru Zhang, Yang Liu
The 64th Annual Meeting of the Association for Computational Linguistics (ACL) - Main Conference 2026
Studies LLM bias in self-consuming performative loops and remedies for improving model behavior under repeated feedback.
DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning Behavior Control
Yaxuan Wang, Chris Yuhao Liu, Quan Liu, Jinlong Pang, Wei Wei, Yujia Bao, Yang Liu
The Fourteenth International Conference on Learning Representations (ICLR) 2026
Studies inference-time detection and control of undesired knowledge expression, separating what a model stores from what it retrieves or says in context.
DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning Behavior Control
Yaxuan Wang, Chris Yuhao Liu, Quan Liu, Jinlong Pang, Wei Wei, Yujia Bao, Yang Liu
The Fourteenth International Conference on Learning Representations (ICLR) 2026
Studies inference-time detection and control of undesired knowledge expression, separating what a model stores from what it retrieves or says in context.
2025
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
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
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
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
LLM Unlearning via Loss Adjustment with Only Forget Data Post-training
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
Develops a loss-adjustment approach for targeted LLM unlearning using only forget data, highlighting the trade-off between selective forgetting and retained model utility.
LLM Unlearning via Loss Adjustment with Only Forget Data Post-training
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
Develops a loss-adjustment approach for targeted LLM unlearning using only forget data, highlighting the trade-off between selective forgetting and retained model utility.
2024
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels Anomaly Detection
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
Studies noise-resilient point-wise anomaly detection in time series using weak segment-level labels.
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels Anomaly Detection
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
Studies noise-resilient point-wise anomaly detection in time series using weak segment-level labels.
Large Language Model Unlearning via Embedding-Corrupted Prompts Unlearning
Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan, Yang Liu
The 38th Annual Conference on Neural Information Processing Systems (NeurIPS) 2024
Studies unlearning as a controlled way to intervene on memorized knowledge and test when apparent forgetting is robust or recoverable.
Large Language Model Unlearning via Embedding-Corrupted Prompts Unlearning
Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan, Yang Liu
The 38th Annual Conference on Neural Information Processing Systems (NeurIPS) 2024
Studies unlearning as a controlled way to intervene on memorized knowledge and test when apparent forgetting is robust or recoverable.
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
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
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
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