Junlin Wu

LLM / Learning from Feedback

1. Structure-R1: Dynamically Leveraging Structural Knowledge in LLM Reasoning through Reinforcement Learning

   Junlin Wu, Xianrui Zhong, Jiashuo Sun, Bolian Li, Bowen Jin, Jiawei Han, Qingkai Zeng

   Preprint (under review)


2. From Personal to Collective: On the Role of Local and Global Memory in LLM Personalization

   Zehong Wang, Junlin Wu, Zhaoxuan Tan, Bolian Li, Xianrui Zhong, Zheli Liu, Qingkai Zeng

   Preprint (under review)


3. DRIFT: Learning from Abundant User Dissatisfaction in Real-World Preference Learning

   Yifan Wang, Bolian Li, Junlin Wu, Zhaoxuan Tan, Zheli Liu, Ruqi Zhang, Ananth Grama, Qingkai Zeng

   The Fourteenth International Conference on Learning Representations (ICLR 2026)


4. Preference Poisoning Attacks on Reward Model Learning

   Junlin Wu, Jiongxiao Wang, Chaowei Xiao, Chenguang Wang, Ning Zhang, Yevgeniy Vorobeychik

   46th IEEE Symposium on Security and Privacy (IEEE S&P 2025)


5. Axioms for AI Alignment from Human Feedback

   (α-β) Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik, Junlin Wu

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


6. RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models

   Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao

   The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)

Reinforcement Learning / Safe Control

1. Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees

   Xinhang Ma, Junlin Wu, Hussein Sibai, Yiannis Kantaros, Yevgeniy Vorobeychik

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


2. Verified Safe Reinforcement Learning for Neural Network Dynamic Models

   Junlin Wu, Huan Zhang, Yevgeniy Vorobeychik

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


3. Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks

   Junlin Wu, Hussein Sibai, Yevgeniy Vorobeychik

   2024 IEEE Security and Privacy Workshops (SPW 2024)


4. Neural Lyapunov Control for Discrete-Time Systems

   Junlin Wu, Andrew Clark, Yiannis Kantaros, Yevgeniy Vorobeychik

   37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023)


5. Exact Verification of ReLU Neural Control Barrier Functions

   Hongchao Zhang, Junlin Wu, Yevgeniy Vorobeychik, Andrew Clark

   37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023)


6. Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum

   Junlin Wu, Yevgeniy Vorobeychik

   39th International Conference on Machine Learning (ICML 2022)

Computational Social Choice / Game Theory

1. Manipulating Elections by Changing Voter Perceptions

   Junlin Wu, Andrew Estornell, Lecheng Kong, Yevgeniy Vorobeychik

   31st International Joint Conference on Artificial Intelligence (IJCAI 2022)

   Long Oral Presentation (170/4535≈3.75% acceptance rate)


2. Learning Generative Deception Strategies in Combinatorial Masking Games

   Junlin Wu, Charles Kamhoua, Murat Kantarcioglu, Yevgeniy Vorobeychik

   12th Conference on Decision and Game Theory for Security (GameSec 2021)