Zhenglin Wan

According to our database, Zhenglin Wan authored at least 19 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Adversarial Dual On-Policy Distillation from Expressive Teacher.

Zhenglin Wan, Jingxuan Wu, Xingrui Yu, Chubin Zhang, Mingcong Lei, Bo An, Ivor W. Tsang, Yang You

CoRR, May, 2026

Towards Backdoor-Based Ownership Verification for Vision-Language-Action Models.

Ming Sun, Rui Wang, Xingrui Yu, Lihua Jing, Hangyu Du, Zhenglin Wan, Xu Pan, Ivor W. Tsang

CoRR, May, 2026

ANO: A Principled Approach to Robust Policy Optimization.

Yiheng Zhang, Yiming Wang, Kaiyan Zhao, Zhenglin Wan, Jiayu Chen, Leong Hou U

CoRR, May, 2026

ClawMark: A Living-World Benchmark for Multi-Turn, Multi-Day, Multimodal Coworker Agents.

Fanqing Meng, Lingxiao Du, Zijian Wu, Guanzheng Chen, Xiangyan Liu, Jiaqi Liao, Chonghe Jiang, Zhenglin Wan, Jiawei Gu, Pengfei Zhou, Rui Huang, Ziqi Zhao, Shengyuan Ding, Ailing Yu, Bo Peng, Bowei Xia, Hao Sun, Haotian Liang, Ji Xie, Jiajun Chen, Jiajun Song, Liu Yang, Ming Xu, Qionglin Qiu, Runhao Fu, Shengfang Zhai, Shijian Wang, Tengfei Ma, Tianyi Wu, Weiyang Jin, Yan Wang, Yang Dai, Yao Lai, Youwei Shu, Yue Liu, Yunzhuo Hao, Yuwei Niu, Jinkai Huang, Jiayuan Zhuo, Zhennan Shen, Linyu Wu, Cihang Xie, Yuyin Zhou, Jiaheng Zhang, Zeyu Zheng, Mengkang Hu, Michael Qizhe Shieh

CoRR, April, 2026

HBVLA: Pushing 1-Bit Post-Training Quantization for Vision-Language-Action Models.

Xin Yan, Zhenglin Wan, Feiyang Ye, Xingrui Yu, Hangyu Du, Yang You, Ivor W. Tsang

CoRR, February, 2026

SA-VLA: Spatially-Aware Flow-Matching for Vision-Language-Action Reinforcement Learning.

Xu Pan, Zhenglin Wan, Xingrui Yu, Xianwei Zheng, Youkai Ke, Ming Sun, Rui Wang, Ziwei Wang, Ivor W. Tsang

CoRR, February, 2026

Time-Annealed Perturbation Sampling: Diverse Generation for Diffusion Language Models.

Jingxuan Wu, Zhenglin Wan, Xingrui Yu, Yuzhe Yang, Yiqiao Huang, Ivor W. Tsang, Yang You

CoRR, January, 2026

Reinforcement Learning of Large Language Models for Interpretable Credit Card Fraud Detection.

Cooper Lin, Yanting Zhang, Maohao Ran, Wei Xue, Hongwei Fan, Yibo Xu, Zhenglin Wan, Sirui Han, Yike Guo, Jun Song

CoRR, January, 2026

Crisis-Bench: Benchmarking Strategic Ambiguity and Reputation Management in Large Language Models.

Cooper Lin, Maohao Ran, Yanting Zhang, Zhenglin Wan, Hongwei Fan, Yibo Xu, Yike Guo, Wei Xue, Jun Song

CoRR, January, 2026

CaveAgent: Transforming LLMs into Stateful Runtime Operators.

Maohao Ran, Zhenglin Wan, Cooper Lin, Yanting Zhang, Hongyu Xin, Hongwei Fan, Yibo Xu, Beier Luo, Yaxin Zhou, Wangbo Zhao, Lijie Yang, Lang Feng, Fuchao Yang, Jingxuan Wu, Yiqiao Huang, Chendong Ma, Dailing Jiang, Jianbo Deng, Sihui Han, Bo An, Yike Guo, Jun Song

CoRR, January, 2026

SecureAFL: Secure Asynchronous Federated Learning.

Anjun Gao, Feng Wang, Zhenglin Wan, Yueyang Quan, Zhuqing Liu, Minghong Fang

Proceedings of the ACM Asia Conference on Computer and Communications Security, 2026

AgentOCR: Reimagining Agent History via Optical Self-Compression.

Lang Feng, Fuchao Yang, Feng Chen, Xin Cheng, Haiyang Xu, Zhenglin Wan, Ming Yan, Bo An

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

GoRL: An Algorithm-Agnostic Framework for Online Reinforcement Learning with Generative Policies.

Chubin Zhang, Zhenglin Wan, Feng Chen, Xingrui Yu, Ivor W. Tsang, Bo An

CoRR, December, 2025

OSCAR: Orthogonal Stochastic Control for Alignment-Respecting Diversity in Flow Matching.

Jingxuan Wu, Zhenglin Wan, Xingrui Yu, Yuzhe Yang, Bo An, Ivor W. Tsang

CoRR, October, 2025

Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration.

Xingrui Yu, Zhenglin Wan, David Mark Bossens, Yueming Lyu, Qing Guo, Ivor W. Tsang

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity.

Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Yew-Soon Ong, Ivor W. Tsang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

POI Recommendation via Multi-Objective Adversarial Imitation Learning.

Zhenglin Wan, Anjun Gao, Xingrui Yu, Pingfu Chao, Jun Song, Maohao Ran

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Quality Diversity Imitation Learning.

Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Ivor W. Tsang

CoRR, 2024

Hierarchical Spatial-Temporal Graph-Enhanced Model for Map-Matching.

Anjun Gao, Zhenglin Wan, Pingfu Chao, Shunyu Yao

Proceedings of the Databases Theory and Applications, 2024