Publications

Yufei Li, Zexin Li, Yinglun Zhu, Cong Liu (2025). LeMix: Unified Scheduling for LLM Training and Inference on Multi-GPU Systems. In RTSS'25.

Saptarshi Nath, Christos Peridis, Eseoghene Benjamin, Xinran Liu, Soheil Kolouri, Peter Kinnell, Zexin Li, Cong Liu, Shirin Dora, Andrea Soltoggio (2025). Collaborative Learning in Agentic Systems: A Collective AI is Greater Than the Sum of Its Parts. In Arxiv, in submission to Nature.

Simin Chen, Yiming Chen, Zexin Li, Yifan Jiang, Zhongwei Wan, Yixin He, Dezhi Ran, Tianle Gu, Haizhou Li, Tao Xie, Baishakhi Ray (2025). Recent Advances in Large Langauge Model Benchmarks against Data Contamination: From Static to Dynamic Evaluation. In Arxiv.

Zexin Li*, Jiancheng Zhang*, Yufei Li, Yinglun Zhu, Cong Liu (2025). Mixtraining: A Better Trade-Off Between Compute and Performance. In Arxiv.

Yiming Zeng, Wanhao Yu, Zexin Li, Tao Ren, Yu Ma, Jinghan Cao, Xiyan Chen, Tingting Yu (2025). FineEdit: Unlock Instruction-Based Text Editing for LLMs. In Arxiv.

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.

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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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