Publications (13)
Rethinking the Defense Against Free-rider Attack From the Perspective of Model Weight Evolving Frequency
Jinyin Chen, Mingjun Li, Tao Liu +3
Federated learning (FL) is a distributed machine learning approach where multiple clients collaboratively train a joint model without exchanging their data. Despite FL's unpreceden…
MAPO: Mixed Advantage Policy Optimization
Wenke Huang, Quan Zhang, Yiyang Fang +11
Recent advances in reinforcement learning for foundation models, such as Group Relative Policy Optimization (GRPO), have significantly improved the performance of foundation models…
Knowledge Transfer from Simple to Complex: A Safe and Efficient Reinforcement Learning Framework for Autonomous Driving Decision-Making
Rongliang Zhou, Jiakun Huang, Mingjun Li +3
A safe and efficient decision-making system is crucial for autonomous vehicles. However, the complexity of driving environments limits the effectiveness of many rule-based and mach…
Using Motion Forecasting for Behavior-Based Virtual Reality (VR) Authentication
Mingjun Li, Natasha Kholgade Banerjee, Sean Banerjee
Task-based behavioral biometric authentication of users interacting in virtual reality (VR) environments enables seamless continuous authentication by using only the motion traject…
Evaluating Deep Networks for Detecting User Familiarity with VR from Hand Interactions
Mingjun Li, Numan Zafar, Natasha Kholgade Banerjee +1
As VR devices become more prevalent in the consumer space, VR applications are likely to be increasingly used by users unfamiliar with VR. Detecting the familiarity level of a user…
Task-Level AI Readiness Assessment for Business Process Management:The T-IPO Model and LARA Matrix in Financial-Services IT Operations
Mingjun Li, Xiaojun Ye
Which tasks inside an enterprise workflow can a large-language-model agent reliably handle, and under what conditions? Most business process modeling frameworks still answer this a…