| 2026 | AAAI | Decoupling Shared and Personalized Knowledge: A Dual-Branch Federated Learning Framework for Multi-Domain with Non-IID Data. | Yiran Pang, Zhen Ni, Xiangnan Zhong |
| 2025 | ICMLA | A New Federated Learning Approach for Imbalanced Medical Image Datasets. | Aniruddha Tiwari, Zhen Ni, Xiangnan Zhong, Ahmed Imteaj |
| 2025 | IJCNN | A Visual Feature-Based Inverse Reinforcement Learning Approach for Reward Reconstruction from Image Observations. | Yanbin Lin, Zhen Ni |
| 2022 | IJCNN | An Efficient Distributed Reinforcement Learning for Enhanced Multi-Microgrid Management. | Avijit Das, Zhen Ni, Di Wu |
| 2022 | IJCNN | Multi-Virtual-Agent Reinforcement Learning for a Stochastic Predator-Prey Grid Environment. | Yanbin Lin, Zhen Ni, Xiangnan Zhong |
| 2020 | IJCNN | One-Shot Unsupervised Domain Adaptation for Object Detection. | Zhiqiang Wan, Lusi Li, Hepeng Li, Haibo He, Zhen Ni |
| 2019 | IJCNN | A Composite Extended Nearest Neighbor Model for Day-Ahead Load Forecasting. | Md. Rashedul Haq, Zhen Ni |
| 2019 | LANMAN | Advancing Network Function Virtualization Platforms with Programmable NICs. | Zhen Ni, Guyue Liu, Dennis Afanasev, Timothy Wood, Jinho Hwang |
| 2018 | IJCNN | A Study of Linear Programming and Reinforcement Learning for One-Shot Game in Smart Grid Security. | Shuva Paul, Zhen Ni |
| 2018 | IJCNN | Data-Driven Reinforcement Learning Design for Multi-agent Systems with Unknown Disturbances. | Xiangnan Zhong, Zhen Ni |
| 2018 | LANMAN | Measuring Performance and Isolation Tradeoffs for NFV. | Zhen Ni, Timothy Wood |
| 2018 | Middleware | CRIMES: Using Evidence to Secure the Cloud. | Sundaresan Rajasekaran, Harpreet Singh Chawla, Zhen Ni, Neel Shah, Emery D. Berger, Timothy Wood |
| 2017 | IJCNN | Towards enabling deep learning techniques for adaptive dynamic programming. | Zhen Ni, Naresh Malla, Xiangnan Zhong |
| 2016 | CEC | Supplementary control for virtual synchronous machine based on adaptive dynamic programming. | Naresh Malla, Dipesh Shrestha, Zhen Ni, Reinaldo Tonkoski |
| 2016 | IJCNN | Comparative studies of power grid security with network connectivity and power flow information using unsupervised learning. | Shiva Poudel, Zhen Ni, Xiangnan Zhong, Haibo He |
| 2016 | IJCNN | Convergence analysis of GrDHP-based optimal control for discrete-time nonlinear system. | Xiangnan Zhong, Zhen Ni, Haibo He |
| 2016 | IROS | Robot-assisted pedestrian regulation in an exit corridor. | Chao Jiang, Zhen Ni, Yi Guo, Haibo He |
| 2015 | IJCNN | A comparative study between motivated learning and reinforcement learning. | James T. Graham, Janusz A. Starzyk, Zhen Ni, Haibo He, Teck-Hou Teng, Ah-Hwee Tan |
| 2015 | IJCNN | A boundedness theoretical analysis for GrADP design: A case study on maze navigation. | Zhen Ni, Xiangnan Zhong, Haibo He |
| 2015 | IJCNN | Event-triggered adaptive dynamic programming for continuous-time nonlinear system using measured input-output data. | Xiangnan Zhong, Zhen Ni, Haibo He |
| 2014 | CIDM | Experimental studies on indoor sign recognition and classification. | Zhen Ni, Siyao Fu, Bo Tang, Haibo He, Xinming Huang |
| 2014 | IJCNN | Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system. | Xiangnan Zhong, Zhen Ni, Haibo He, Xin Xu, Dongbin Zhao |
| 2012 | IJCNN | Reinforcement learning control based on multi-goal representation using hierarchical heuristic dynamic programming. | Zhen Ni, Haibo He, Dongbin Zhao, Danil V. Prokhorov |
| 2011 | IJCNN | An online actor-critic learning approach with Levenberg-Marquardt algorithm. | Zhen Ni, Haibo He, Danil V. Prokhorov, Jian Fu |
| 2011 | ISNN | An Adaptive Dynamic Programming Approach for Closely-Coupled MIMO System Control. | Jian Fu, Haibo He, Qing Liu, Zhen Ni |