Yuhang Yao

Researcher, Carnegie Mellon University

Joined

March 2021

Names

Yuhang Yao (Preferred)

Emails

****@andrew.cmu.edu (Confirmed)

****@sjtu.edu.cn (Confirmed)

****@tensoropera.com (Confirmed)

****@gmail.com (Confirmed)

****@zoom.us (Confirmed)

Personal Links

Career & Education History

Researcher

Carnegie Mellon University (alumni.cmu.edu)

2025 – Present

Researcher

TensorOpera Inc (tensoropera.com)

2024 – 2025

PhD student

Carnegie Mellon University (andrew.cmu.edu)

2019 – 2024

Undergrad student

Shanghai Jiao Tong University (sjtu.edu.cn)

2015 – 2019

Advisors, Relations & Conflicts

PhD Advisor

Carlee Joe-Wong

2019 – 2024

Expertise

graph neural network

Present

federated learning

Present

generative ai

Present

large language model

Present

ai agent

Present

Publications

[Regular] GAP: Graph-based Agent Planning with Parallel Tool Use and Reinforcement Learning
Jiaqi Wu, Qinlao Zhao, Zefeng Chen, Kai Qin, Yifei Zhao, Xueqian Wang, Yuhang Yao
- NeurIPS 2025 Workshop NORA Oral
- Readers: Everyone
Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification
Shanshan Han, Wenxuan Wu, Baturalp Buyukates, Weizhao Jin, Qifan Zhang, Yuhang Yao, Salman Avestimehr, Chaoyang He
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
FedGraph: A Research Library and Benchmark for Federated Graph Learning
Yuhang Yao, Yuan Li, Xinyi Fan, Junhao Li, Kay Liu, Yu Yang, Weizhao Jin, Srivatsan Ravi, Philip S. Yu, Carlee Joe-Wong
- NPGML Poster
- Readers: Everyone
Federated Link Prediction on Dynamic Graphs
Yuhang Yao, Xinyi Fan, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Tong Yu, Carlee Joe-Wong
- NPGML Poster
- Readers: Everyone
TensorOpera Router: A Multi-Model Router for Efficient LLM Inference
Dimitris Stripelis, Zijian Hu, Jipeng Zhang, Zhaozhuo Xu, Alay Dilipbhai Shah, Han Jin, Yuhang Yao, Salman Avestimehr, Chaoyang He
- EMNLP 2024 Industry Track
- Readers: Everyone
ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency
Yuhang Yao, Han Jin, Alay Dilipbhai Shah, Shanshan Han, Zijian Hu, Yide Ran, Dimitris Stripelis, Zhaozhuo Xu, Salman Avestimehr, Chaoyang He
- EMNLP 2024 Industry Track
- Readers: Everyone
Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification
Shanshan Han, Wenxuan Wu, Baturalp Buyukates, Weizhao Jin, Yuhang Yao, Qifan Zhang, Salman Avestimehr, Chaoyang He
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Efficient Privacy-Preserving Federated Learning With Selective Parameter Encryption
Weizhao Jin, Yuhang Yao, Shanshan Han, Jiajun Gu, Carlee Joe-Wong, Srivatsan Ravi, Salman Avestimehr, Chaoyang He
- Submitted to ICLR 2025
- Readers: Everyone
ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency
Yuhang Yao, Han Jin, Alay Dilipbhai Shah, Shanshan Han, Zijian Hu, Dimitris Stripelis, Yide Ran, Zhaozhuo Xu, Salman Avestimehr, Chaoyang He
- EMNLP (Industry Track) 2024
- Readers: Everyone
FedGraph: A Research Library and Benchmark for Federated Graph Learning
Yuhang Yao, Yuan Li, Xinyi Fan, Junhao Li, Kay Liu, Weizhao Jin, Srivatsan Ravi, Philip S. Yu, Carlee Joe-Wong
- CoRR 2024
- Readers: Everyone

View all 36 publications

Co-Authors

View all 73 co-authors