Yexiao He

According to our database, Yexiao He authored at least 19 papers between 2022 and 2025.

Collaborative distances:

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

2025

EvoVerilog: Large Langugage Model Assisted Evolution of Verilog Code.

Ping Guo, Yiting Wang, Wanghao Ye, Yexiao He, Ziyao Wang, Xiaopeng Dai, Ang Li, Qingfu Zhang

CoRR, August, 2025

Predictive Auditing of Hidden Tokens in LLM APIs via Reasoning Length Estimation.

Ziyao Wang, Guoheng Sun, Yexiao He, Zheyu Shen, Bowei Tian, Ang Li

CoRR, August, 2025

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization.

Yiting Wang, Wanghao Ye, Yexiao He, Yiran Chen, Gang Qu, Ang Li

CoRR, July, 2025

CogniPair: From LLM Chatbots to Conscious AI Agents - GNWT-Based Multi-Agent Digital Twins for Social Pairing - Dating & Hiring Applications.

Wanghao Ye, Sihan Chen, Yiting Wang, Shwai He, Bowei Tian, Guoheng Sun, Ziyi Wang, Ziyao Wang, Yexiao He, Zheyu Shen, Meng Liu, Yuning Zhang, Meng Feng, Yang Wang, Siyuan Peng, Yilong Dai, Zhenle Duan, Hanzhang Qin, Ang Li

CoRR, June, 2025

MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility.

Yexiao He, Ang Li, Boyi Liu, Zhewei Yao, Yuxiong He

CoRR, June, 2025

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

CoRR, May, 2025

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

CoRR, May, 2025

SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning.

Yiting Wang, Wanghao Ye, Ping Guo, Yexiao He, Ziyao Wang, Bowei Tian, Shwai He, Guoheng Sun, Zheyu Shen, Sihan Chen, Ankur Srivastava, Qingfu Zhang, Gang Qu, Ang Li

CoRR, April, 2025

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

CoRR, March, 2025

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

CoRR, March, 2025

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

Proceedings of the 23rd Annual International Conference on Mobile Systems, 2025

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

CoRR, 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

CoRR, 2024

Dynamic relay node selection and routing for cloud-native Software Defined WANs.

Chenyu Fan, Xiaoning Zhang, Yangming Zhao, Yexiao He, Yi Yang

Comput. Networks, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

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 Trans. Veh. Technol., March, 2023

2022

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

Comput. Networks, 2022