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DATE-serve: Orchestrating Dependency, Arithmetic Intensity, and Thermal-awareness for Energy-Efficient Multimodal Inference

Ziyang Jia, Sara Rashidi Golrouye, Laxmi Bhuyan, Benjamin Kubwimana, Devashree Tripathy, Zexin Li, Cong Liu, Daniel Wong

Real-Time Continual Learning on Embedded GPUs

Online continual learning (OCL) is an enabling technology for safety-critical autonomous embedded systems whose deployment environments …

Zexin Li, Dongjoo Seo, Nikil Dutt, Jun Sheng, Cong Liu

VLMSysTrojan: Stealthy System-Aware Backdoor Attacks Against Vision-Language Models

Yezheng Cheng, Zexin Li, Jiaqi Wu, Zhihong Zhang, Simin Chen

Orion: Enabling Self-adaptive Memory Management for On-device Online Continual Learning

Online continual learning (OCL) enables real-time adaptation to new data, making it crucial for dynamic robotic applications. However, …

Zexin Li, Nikil Dutt, Cong Liu

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

TreeDiff: AST-Guided Code Generation with Diffusion LLMs

Code generation is increasingly critical for real-world applications. Still, diffusion-based large language models continue to struggle …

Yiming Zeng, Jinghan Cao, Zexin Li, Yiming Chen, Tao Ren, Zhuochun Li, Dawei Xiang, Xidong Wu, Shangqian Gao, Tingting Yu

HyperEdit: Unlocking Instruction-based Text Editing in LLMs via Hypernetworks

Instruction-based text editing is increasingly critical for real-world applications such as code editors (e.g., Cursor), but Large …

Yiming Zeng, Jinghan Cao, Zexin Li, Wanhao Yu, Zhankai Ye, Dawei Xiang, Ting Hua, Xin Liu, Shangqian Gao, Tingting Yu

NaturalSloth: Revisiting Denial-of-Service Attacks on Large Language Models

Yiming Chen, Zexin Li, Xianghu Yue, Robby T. Tan, Haizhou Li

Mixtraining: A Better Trade-Off Between Compute and Performance

Incorporating self-supervised learning (SSL) before standard supervised learning (SL) has become a widely used strategy to enhance …

Zexin Li*, Jiancheng Zhang*, Yufei Li, Yinglun Zhu, Cong Liu

PIMbot: A Self-Adaptive Attack Framework for Adversarial Manipulation of Multi-Robot Reinforcement Learning

Zexin Li, Ziliang Zhang, Hyoseung Kim, Cong Liu