Publications

Soheil Shirvani, Aritra Samanta, Zexin Li, Cong Liu (2024). DuoJoule: Accurate On-Device Deep Reinforcement Learning for Energy and Timeliness. In RTSS'24.

Ziliang Zhang, Zexin Li, Hyoseung Kim, Cong Liu (2024). BOXR: Body and head motion Optimization framework for eXtended Reality. In RTSS'24.

Xiaoxue Gao, Zexin Li, Yiming Chen, Cong Liu, Haizhou Li (2024). Transferable Adversarial Attacks against ASR. In IEEE SPL.

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Simin Chen, Zexin Li, Wei Yang, Cong Liu (2024). DeciX: Explain Deep Learning Based Code Generation Applications. In FSE'24.

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Zexin Li, Soroush Bateni, Cong Liu (2024). Genie: Smart ROS-based Caching for Connected Autonomous Robots. In Arxiv.

Yufei Li, Zexin Li, Wei Yang, Cong Liu (2023). RT-LM: Uncertainty-Aware Resource Management for Real-Time On-Device Language Models. In RTSS'23.

Zexin Li, Tao Ren, Xiaoxi He, Cong Liu (2023). RED: A Systematic Real-Time Scheduling Approach for Robotic Environmental Dynamics. In RTSS'23.

Zexin Li, Aritra Samanta, Yufei Li, Andrea Soltoggio, Hyoseung Kim, Cong Liu (2023). R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics. In RTSS'23.

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Zexin Li, Xiaoxi He, Yufei Li, Wei Yang, Lothar Thiele, Cong Liu (2023). MIMONet: Multi-Input Multi-Output On-Device Deep Learning. In Arxiv.

Shahab Nikkhoo, Zexin Li, Aritra Samanta, Yufei Li, Cong Liu (2023). PIMbot: Policy and Incentive Manipulation for Multi-Robot Reinforcement Learning in Social Dilemmas. In IROS'23.

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Yufei Li, Zexin Li, Yingfan Gao, Cong Liu (2023). White-Box Multi-Objective Adversarial Attack on Dialogue Generation. In ACL'23.

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Yiming Chen, Simin Chen, Zexin Li, Wei Yang, Cong Liu, Robby Tan, Haizhou Li (2023). Dynamic Transformers Provide a False Sense of Efficiency. In ACL'23.

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Zexin Li*, Bangjie Yin, Taiping Yao, Junfeng Guo, Shouhong Ding, Simin Chen, Cong Liu (2023). Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition. In CVPR'23.

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Zexin Li, Yuqun Zhang*, Ao Ding, Husheng Zhou, Cong Liu (2021). Efficient algorithms for task mapping on heterogeneous CPU/GPU platforms for fast completion time. In JSA.

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