Scholar

Junyi Hou

Google Scholar ID: VF3e0N4AAAAJ

National University of Singapore

Large Language ModelFederated Learning

Homepage↗Google Scholar↗

Citations & Impact

All-time

Citations

108

H-index

4

i10-index

1

Publications

12

Co-authors

13

list available

Contact

Emailjunyi.h@comp.nus.edu.sg GitHubOpen ↗

Publications

6 items

ProtegoFed: Backdoor-Free Federated Instruction Tuning with Interspersed Poisoned Data

2026

Cited

0

Self-Imitated Diffusion Policy for Efficient and Robust Visual Navigation

2026

Cited

0

PaperDebugger: A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing

2025

Cited

0

XtraGPT: LLMs for Human-AI Collaboration on Controllable Academic Paper Revision

2025

Cited

0

Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly

2025

Cited

0

Model-Based Privacy-Preserving Knowledge Transfer for Large Language Models

2024

Cited

0

Resume (English only)

Background

Junyi Hou is a PhD student in the Systems & Networking Research Lab at the National University of Singapore (NUS), supervised by Prof. Bingsheng He. Previously, he collaborated with Dr. Zhaomin Wu. He is passionate about programming and deeply immersed in exploring innovative solutions. His research interests focus on Infrastructure and Systems for Large Language Model.

Co-authors

13 total

Bingsheng He, 何丙胜

Professor, Department of Computer Science, National University of Singapore

Professor, Computer Science, Huazhong University of Science and Technology

Research Fellow at NUS

University of Illinois at Urbana–Champaign

Professor of Computer Science, UC Berkeley

Junyuan (Jason) Hong

University of Texas at Austin

Director of the Center for AI Safety (advisor for xAI and Scale)