Jinglin Chen

According to our database, Jinglin Chen authored at least 15 papers between 2008 and 2026.

Collaborative distances:

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

2026

Agentic-MME: What Agentic Capability Really Brings to Multimodal Intelligence?

Qianshan Wei, Yishan Yang, Siyi Wang, Jinglin Chen, Binyu Wang, Jiaming Wang, Shuang Chen, Zechen Li, Yang Shi, Yuqi Tang, Weining Wang, Yi Yu, Chaoyou Fu, Qi Li, Yifan Zhang

CoRR, April, 2026

HierarchicalKV: A GPU Hash Table with Cache Semantics for Continuous Online Embedding Storage.

Haidong Rong, Jiashu Yao, Matthias Langer, Shijie Liu, Li Fan, Dongxin Wang, Jia He, Jinglin Chen, Jiaheng Rang, Julian Qian, Mengyao Xu, Fan Yu, Minseok Lee, Zehuan Wang, Even Oldridge

CoRR, March, 2026

2025

Faster In-Context Learning for LLMs via N-Gram Trie Speculative Decoding.

Jinglin Chen, Qiwei Li, Zuchao Li, Baoyuan Qi, Guoming Liu, Haojun Ai, Hai Zhao, Ping Wang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Model-Free Representation Learning and Exploration in Low-Rank MDPs.

Aditya Modi, Jinglin Chen, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal

J. Mach. Learn. Res., 2024

2023

Reinforcement Learning in Low-rank MDPs with Density Features.

Audrey Huang, Jinglin Chen, Nan Jiang

Proceedings of the International Conference on Machine Learning, 2023

Extended Abstract: Learning in Low-rank MDPs with Density Features.

Audrey Huang, Jinglin Chen, Nan Jiang

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

2022

Nonstationary Reinforcement Learning with Linear Function Approximation.

Huozhi Zhou, Jinglin Chen, Lav R. Varshney, Ashish Jagmohan

Trans. Mach. Learn. Res., 2022

Offline reinforcement learning under value and density-ratio realizability: The power of gaps.

Jinglin Chen, Nan Jiang

Proceedings of the Uncertainty in Artificial Intelligence, 2022

On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL.

Jinglin Chen, Aditya Modi, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality.

Jiawei Huang, Jinglin Chen, Li Zhao, Tao Qin, Nan Jiang, Tie-Yan Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration.

Priyank Agrawal, Jinglin Chen, Nan Jiang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Information-Theoretic Considerations in Batch Reinforcement Learning.

Jinglin Chen, Nan Jiang

Proceedings of the 36th International Conference on Machine Learning, 2019

Accelerating Nonconvex Learning via Replica Exchange Langevin diffusion.

Yi Chen, Jinglin Chen, Jing Dong, Jian Peng, Zhaoran Wang

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Efficient Localized Inference for Large Graphical Models.

Jinglin Chen, Jian Peng, Qiang Liu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2008

DTAD: A Dynamic Taint Analysis Detector for Information Security.

Zhiwen Bai, Liming Wang, Jinglin Chen, Lin Xu, Jian Liu, Xiyang Liu

Proceedings of the Ninth International Conference on Web-Age Information Management, 2008