Zexin Li

According to our database, Zexin Li authored at least 15 papers between 2021 and 2024.

Collaborative distances:

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

2024

Transferable Adversarial Attacks Against ASR.

Xiaoxue Gao, Zexin Li, Yiming Chen, Cong Liu, Haizhou Li

IEEE Signal Process. Lett., 2024

DeciX: Explain Deep Learning Based Code Generation Applications.

Simin Chen, Zexin Li, Wei Yang, Cong Liu

Proc. ACM Softw. Eng., 2024

Genie: Smart ROS-based Caching for Connected Autonomous Robots.

Zexin Li, Soroush Bateni, Cong Liu

CoRR, 2024

BOXR: Body and head motion Optimization framework for eXtended Reality.

Ziliang Zhang, Zexin Li, Hyoseung Kim, Cong Liu

Proceedings of the IEEE Real-Time Systems Symposium, 2024

DuoJoule: Accurate On-Device Deep Reinforcement Learning for Energy and Timeliness.

Soheil Shirvani, Aritra Samanta, Zexin Li, Cong Liu

Proceedings of the IEEE Real-Time Systems Symposium, 2024

2023

R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics.

Zexin Li, Aritra Samanta, Yufei Li, Andrea Soltoggio, Hyoseung Kim, Cong Liu

CoRR, 2023

MIMONet: Multi-Input Multi-Output On-Device Deep Learning.

Zexin Li, Xiaoxi He, Yufei Li, Shahab Nikkhoo, Wei Yang, Lothar Thiele, Cong Liu

CoRR, 2023

RED: A Systematic Real-Time Scheduling Approach for Robotic Environmental Dynamics.

Zexin Li, Tao Ren, Xiaoxi He, Cong Liu

Proceedings of the IEEE Real-Time Systems Symposium, 2023

RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language Models.

Yufei Li, Zexin Li, Wei Yang, Cong Liu

Proceedings of the IEEE Real-Time Systems Symposium, 2023

$\mathrm{R}^{3}$: On-Device Real-Time Deep Reinforcement Learning for Autonomous Robotics.

Zexin Li, Aritra Samanta, Yufei Li, Andrea Soltoggio, Hyoseung Kim, Cong Liu

Proceedings of the IEEE Real-Time Systems Symposium, 2023

PIMbot: Policy and Incentive Manipulation for Multi-Robot Reinforcement Learning in Social Dilemmas.

Shahab Nikkhoo, Zexin Li, Aritra Samanta, Yufei Li, Cong Liu

IROS, 2023

Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition.

Zexin Li, Bangjie Yin, Taiping Yao, Junfeng Guo, Shouhong Ding, Simin Chen, Cong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

White-Box Multi-Objective Adversarial Attack on Dialogue Generation.

Yufei Li, Zexin Li, Yingfan Gao, Cong Liu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Dynamic Transformers Provide a False Sense of Efficiency.

Yiming Chen, Simin Chen, Zexin Li, Wei Yang, Cong Liu, Robby T. Tan, Haizhou Li

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2021

Efficient algorithms for task mapping on heterogeneous CPU/GPU platforms for fast completion time.

Zexin Li, Yuqun Zhang, Ao Ding, Husheng Zhou, Cong Liu

J. Syst. Archit., 2021