Chi Zhang

According to our database, Chi Zhang authored at least 24 papers between 2016 and 2026.

Collaborative distances:

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

2026

Laminar: A Scalable Asynchronous RL Post-Training Framework.

Guangming Sheng, Yuxuan Tong, Borui Wan, Wang Zhang, Chaobo Jia, Xibin Wu, Yuqi Wu, Xiang Li, Chi Zhang, Yanghua Peng, Haibin Lin, Xin Liu, Chuan Wu

Proceedings of the 21st European Conference on Computer Systems, 2026

Knowledge Completes the Vision: A Multimodal Entity-aware Retrieval-Augmented Generation Framework for News Image Captioning.

Xiaoxing You, Qiang Huang, Lingyu Li, Chi Zhang, Xiaopeng Liu, Min Zhang, Jun Yu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

FAPO: Flawed-Aware Policy Optimization for Efficient and Reliable Reasoning.

Yuyang Ding, Chi Zhang, Juntao Li, Haibin Lin, Xin Liu, Min Zhang

CoRR, October, 2025

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks.

Yu Yue, Yufeng Yuan, Qiying Yu, Xiaochen Zuo, Ruofei Zhu, Wenyuan Xu, Jiaze Chen, Cheng-Xiang Wang, Tiantian Fan, Zhengyin Du, Xiangpeng Wei, Xiangyu Yu, Gaohong Liu, Juncai Liu, Lingjun Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Chi Zhang, Mofan Zhang, Wang Zhang, Hang Zhu, Ru Zhang, Xin Liu, Mingxuan Wang, Yonghui Wu, Lin Yan

CoRR, April, 2025

DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, Yu Yue, Tiantian Fan, Gaohong Liu, Lingjun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Weinan Dai, Yuxuan Song, Xiangpeng Wei, Hao Zhou, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Mu Qiao, Yonghui Wu, Mingxuan Wang

CoRR, March, 2025

DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, Yu Yue, Weinan Dai, Tiantian Fan, Gaohong Liu, Juncai Liu, Lingjun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Ru Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Yuxuan Song, Xiangpeng Wei, Hao Zhou, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Yonghui Wu, Mingxuan Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

HybridFlow: A Flexible and Efficient RLHF Framework.

Guangming Sheng, Chi Zhang, Zilingfeng Ye, Xibin Wu, Wang Zhang, Ru Zhang, Yanghua Peng, Haibin Lin, Chuan Wu

Proceedings of the Twentieth European Conference on Computer Systems, 2025

2023

A Framework for Mapping DRL Algorithms With Prioritized Replay Buffer Onto Heterogeneous Platforms.

Chi Zhang, Yuan Meng, Viktor K. Prasanna

IEEE Trans. Parallel Distributed Syst., June, 2023

2022

Safe Building HVAC Control via Batch Reinforcement Learning.

Chi Zhang, Sanmukh Rao Kuppannagari, Viktor K. Prasanna

IEEE Trans. Sustain. Comput., 2022

Guest Editorial: Intelligent information processing and services in media convergence.

Meng Wang, Chi Zhang, Shijie Hao, Jun Yu, Tingting Mu

Int. J. Intell. Syst., 2022

FPGA acceleration of deep reinforcement learning using on-chip replay management.

Yuan Meng, Chi Zhang, Viktor K. Prasanna

Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

Intelligent Communication over Realistic Wireless Networks in Multi-Agent Cooperative Games.

Diyi Hu, Chi Zhang, Viktor K. Prasanna, Bhaskar Krishnamachari

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning.

Diyi Hu, Chi Zhang, Viktor K. Prasanna, Bhaskar Krishnamachari

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations.

Chi Zhang, Sanmukh Rao Kuppannagari, Viktor K. Prasanna

Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning.

Chi Zhang, Sanmukh R. Kuppannagari, Viktor K. Prasanna

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Maximum Entropy Model Rollouts: Fast Model Based Policy Optimization without Compounding Errors.

Chi Zhang, Sanmukh Rao Kuppannagari, Viktor K. Prasanna

CoRR, 2020

2019

Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation.

Chi Zhang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

A cooperative multi-agent deep reinforcement learning framework for real-time residential load scheduling.

Chi Zhang, Sanmukh R. Kuppannagari, Chuanxiu Xiong, Rajgopal Kannan, Viktor K. Prasanna

Proceedings of the International Conference on Internet of Things Design and Implementation, 2019

2018

Generative Adversarial Network for Synthetic Time Series Data Generation in Smart Grids.

Chi Zhang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna

Proceedings of the 2018 IEEE International Conference on Communications, 2018

A Framework for Generating High Throughput CNN Implementations on FPGAs.

Hanqing Zeng, Ren Chen, Chi Zhang, Viktor K. Prasanna

Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018

2017

Fast generation of high throughput customized deep learning accelerators on FPGAs.

Hanqing Zeng, Chi Zhang, Viktor K. Prasanna

Proceedings of the International Conference on ReConFigurable Computing and FPGAs, 2017

Frequency Domain Acceleration of Convolutional Neural Networks on CPU-FPGA Shared Memory System.

Chi Zhang, Viktor K. Prasanna

Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2017

Fast and efficient implementation of Convolutional Neural Networks on FPGA.

Abhinav Podili, Chi Zhang, Viktor K. Prasanna

Proceedings of the 28th IEEE International Conference on Application-specific Systems, 2017

2016

High Throughput Large Scale Sorting on a CPU-FPGA Heterogeneous Platform.

Chi Zhang, Ren Chen, Viktor K. Prasanna

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016