Zexin Li
Zexin Li
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Deep Learning
DeciX: Explain Deep Learning Based Code Generation Applications
Deep learning-based code generation (DL-CG) applications have shown great potential for assisting developers in programming with …
Simin Chen
,
Zexin Li
,
Wei Yang
,
Cong Liu
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Genie: Smart ROS-based Caching for Connected Autonomous Robots
To appear soon.
Zexin Li
,
Soroush Bateni
,
Cong Liu
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RT-LM: Uncertainty-Aware Resource Management for Real-Time On-Device Language Models
Recent advancements in language models~(LMs) have gained substantial attentions on their capability to generate human-like responses. …
Yufei Li
,
Zexin Li
,
Wei Yang
,
Cong Liu
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R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics
Autonomous robotic systems, like autonomous vehicles and robotic search and rescue, require efficient on-device training for continuous …
Zexin Li
,
Aritra Samanta
,
Yufei Li
,
Andrea Soltoggio
,
Hyoseung Kim
,
Cong Liu
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RED: A Systematic Real-Time Scheduling Approach for Robotic Environmental Dynamics
Intelligent robots are designed to effectively navigate dynamic and unpredictable environments laden with moving mechanical elements …
Zexin Li
,
Tao Ren
,
Xiaoxi He
,
Cong Liu
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MIMONet: Multi-Input Multi-Output On-Device Deep Learning
Future intelligent robots are expected to process multiple inputs simultaneously (such as image and audio data) and generate multiple …
Zexin Li
,
Xiaoxi He
,
Yufei Li
,
Wei Yang
,
Lothar Thiele
,
Cong Liu
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PIMbot: Policy and Incentive Manipulation for Multi-Robot Reinforcement Learning in Social Dilemmas
Recent research has demonstrated the potential of reinforcement learning (RL) in enabling effective multi-robot collaboration, …
Shahab Nikkhoo
,
Zexin Li
,
Aritra Samanta
,
Yufei Li
,
Cong Liu
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Video
Dynamic Transformers Provide a False Sense of Efficiency
Despite much success in natural language processing (NLP), pre-trained language models typically lead to a high computational cost …
Yiming Chen
,
Simin Chen
,
Zexin Li
,
Wei Yang
,
Cong Liu
,
Robby Tan
,
Haizhou Li
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Code
White-Box Multi-Objective Adversarial Attack on Dialogue Generation
Pre-trained transformers are popular in state-of-the-art dialogue generation (DG) systems. Such language models are, however, …
Yufei Li
,
Zexin Li
,
Yingfan Gao
,
Cong Liu
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Code
Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition
A hard challenge in developing practical face recognition (FR) attacks is due to the black-box nature of the target FR model, i.e., …
Zexin Li*
,
Bangjie Yin
,
Taiping Yao
,
Junfeng Guo
,
Shouhong Ding
,
Simin Chen
,
Cong Liu
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