Enhan Li

Enhan Li

Ph.D. Student

The University of Hong Kong

Research Interests

Networked AI Systems
Reliable and Efficient LLM Agents
LLM Post-training

About

I am a Ph.D. student at The University of Hong Kong (HKU), advised by Prof. Hongyang Du. I joined the Network Intelligence and Computing Ecosystem (NICE) Lab in June 2025. Previously, I completed my master's studies at the Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS), advised by Prof. Zhenyu Li. I completed my undergraduate studies at Hunan University.

My research lies at the intersection of large language models and networked systems. I focus on building reliable and efficient LLM agents that can adapt to changing network and execution conditions. My recent work explores network-aware tool routing, reliable agent orchestration, and selective on-policy distillation for LLM post-training. More broadly, I am interested in combining learning algorithms with system design to improve the practical performance of intelligent systems.

News

2026-09

HACO has been accepted to NeurIPS 2026.

2025-06

Started my Ph.D. at HKU and joined the NICE Lab.

2024

SAROS has been accepted to APNet 2024.

Selected Publications

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CROP: Task Relevance via Counterfactuals for Selective On-Policy Distillation

Enhan Li, Junhao He, Hongyang Du

arXiv preprint arXiv:2608.13387 · 2026

Allocating token-level supervision using counterfactual task relevance for selective on-policy distillation.

HACO: Hedged Agent Computing for Reliable LLM Systems

Enhan Li, Hongyang Du

Advances in Neural Information Processing Systems (NeurIPS, accepted) · 2026

Reliable agent execution through adaptive hedge selection under changing network and service conditions.

NetMCP: Network-Aware Model Context Protocol Platform for LLM Capability Extension

Enhan Li, Hongyang Du, Kaibin Huang

arXiv preprint arXiv:2510.13467 · 2025

A network-aware platform and routing framework for extending LLMs with external tools and services.