Welcome to my personal website! I am currently a Ph.D. student in the Department of Electrical and Computer Engineering at the University of Maryland (UMD). I have had the privilege of working in the CASE Lab under the guidance of Professor Ang Li. My research interests include Large Language Models, Agents and AI for medical.
Contact me: yexiaohe@umd.edu
May. 2025 - Aug. 2025 Snowflake Research Intern
MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility
Yexiao He, Ang Li, Boyi Liu, Zhewei Yao, Yuxiong He
Predictive Auditing of Hidden Tokens in LLM APIs via Reasoning Length Estimation
Ziyao Wang, Guoheng Sun, Yexiao He, Zheyu Shen, Bowei Tian, Ang Li
Yiting Wang, Wanghao Ye, Yexiao He, Yiran Chen, Gang Qu, Ang Li
EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices
Zheyu Shen, Yexiao He, Ziyao Wang, Yuning Zhang, Guoheng Sun, Wanghao Ye, Ang Li
MobiSys 2025
SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning
Yiting Wang*, Wanghao Ye*, Ping Guo*, Yexiao He* (Equal contribution), Ziyao Wang, Bowei Tian, Shwai He, Guoheng Sun, Zheyu Shen, Sihan Chen, Ankur Srivastava, Qingfu Zhang, Gang Qu, Ang Li
NeurIPS 2025
EvoVerilog: Large Language Model Assisted Evolution of Verilog Code
Ping Guo, Yiting Wang, Wanghao Ye, Yexiao He, Ziyao Wang, Xiaopeng Dai, Ang Li, Qingfu Zhang
CoIn: Counting the Invisible Reasoning Tokens in Commercial Opaque LLM APIs
Guoheng Sun, Ziyao Wang, Bowei Tian, Meng Liu, Zheyu Shen, Shwai He, Yexiao He, Wanghao Ye, Yiting Wang, Ang Li
Invisible Tokens, Visible Bills: The Urgent Need to Audit Hidden Operations in Opaque LLM Services
Guoheng Sun, Ziyao Wang, Xuandong Zhao, Bowei Tian, Zheyu Shen, Yexiao He, Jinming Xing, Ang Li
NeuroSymAD: A Neuro-Symbolic Framework for Interpretable Alzheimer's Disease Diagnosis
Yexiao He, Ziyao Wang, Yuning Zhang, Tingting Dan, Tianlong Chen, Guorong Wu, Ang Li
Prada: Black-Box LLM Adaptation with Private Data on Resource-Constrained Devices
Ziyao Wang, Yexiao He, Zheyu Shen, Yu Li, Guoheng Sun, Myungjin Lee, Ang Li
SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning
Yexiao He, Ziyao Wang, Zheyu Shen, Guoheng Sun, Yucong Dai, Yongkai Wu, Hongyi Wang, Ang Li
NeurIPS 2024
One Communication Round is All It Needs for Federated Fine-Tuning Foundation Models
Ziyao Wang, Bowei Tian, Yexiao He, Zheyu Shen, Luyang Liu, Ang Li
Flora: Federated fine-tuning large language models with heterogeneous low-rank adaptations
Ziyao Wang, Zheyu Shen, Yexiao He, Guoheng Sun, Hongyi Wang, Lingjuan Lyu, Ang Li
NeurIPS 2024
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild
Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen
NeurIPS 2024
Fair Diagnosis: Leveraging Causal Modeling to Mitigate Medical Bias
Bowei Tian, Yexiao He, Meng Liu, Yucong Dai, Ziyao Wang, Shwai He, Guoheng Sun, Zheyu Shen, Wanghao Ye, Yongkai Wu, Ang Li
Chronos: Accelerating Federated Learning With Resource Aware Training Volume Tuning at Network Edges
Yutao Liu, Xiaoning Zhang, Yangming Zhao, Yexiao He, Shui Yu, Kainan Zhu
IEEE Transactions on Vehicular Technology 2023
Joint optimization of Service Chain Graph Design and Mapping in NFV-enabled networks
Yexiao He, Xiaoning Zhang, Zixiang Xia, Yutao Liu, Keshav Sood, Shui Yu
Computer Networks 2022
Dynamic relay node selection and routing for cloud-native Software Defined WANs
Chenyu Fan, Xiaoning Zhang, Yangming Zhao, Yexiao He, Yi Yang
Computer Networks 2022