Wanru Zhao

According to our database, Wanru Zhao authored at least 26 papers between 2020 and 2025.

Collaborative distances:

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

2025

CLUES: Collaborative High-Quality Data Selection for LLMs via Training Dynamics.

Wanru Zhao, Hongxiang Fan, Shell Xu Hu, Wangchunshu Zhou, Bofan Chen, Nicholas D. Lane

CoRR, July, 2025

Cascadia: A Cascade Serving System for Large Language Models.

Youhe Jiang, Fangcheng Fu, Wanru Zhao, Stephan Rabanser, Nicholas D. Lane, Binhang Yuan

CoRR, June, 2025

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization.

Hao Mark Chen, Zehuan Zhang, Wanru Zhao, Nicholas D. Lane, Hongxiang Fan

CoRR, June, 2025

Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization.

Shengchao Hu, Wanru Zhao, Weixiong Lin, Li Shen, Ya Zhang, Dacheng Tao

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

A Review of Research, Hot Topics, and Emerging Trends in Learning Management Systems for Undergraduate Education: A Bibliometric Analysis.

Xinru Zhao, Zhixiong Tang, Wanru Zhao, Ruixin Chen, Long Liang

Proceedings of the 14th International Conference on Educational and Information Technology, 2025

Exploring Code Language Models for Automated HLS-based Hardware Generation: Benchmark, Infrastructure and Analysis.

Jiahao Gai, Hao Chen, Zhican Wang, Hongyu Zhou, Wanru Zhao, Nicholas D. Lane, Hongxiang Fan

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

FedDQC: Data Quality Control in Federated Instruction-tuning of Large Language Models.

Yaxin Du, Rui Ye, Fengting Yuchi, Wanru Zhao, Jingjing Qu, Yanfeng Wang, Siheng Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Photon: Federated LLM Pre-Training.

Lorenzo Sani, Alex Iacob, Zeyu Cao, Royson Lee, Bill Marino, Yan Gao, Dongqi Cai, Zexi Li, Wanru Zhao, Xinchi Qiu, Nicholas D. Lane

CoRR, 2024

Data Quality Control in Federated Instruction-tuning of Large Language Models.

Yaxin Du, Rui Ye, Yuchi Fengting, Wanru Zhao, Jingjing Qu, Yanfeng Wang, Siheng Chen

CoRR, 2024

MR-BEN: A Comprehensive Meta-Reasoning Benchmark for Large Language Models.

Zhongshen Zeng, Yinhong Liu, Yingjia Wan, Jingyao Li, Pengguang Chen, Jianbo Dai, Yuxuan Yao, Rongwu Xu, Zehan Qi, Wanru Zhao, Linling Shen, Jianqiao Lu, Haochen Tan, Yukang Chen, Hao Zhang, Zhan Shi, Bailin Wang, Zhijiang Guo, Jiaya Jia

CoRR, 2024

The Future of Large Language Model Pre-training is Federated.

Lorenzo Sani, Alex Iacob, Zeyu Cao, Bill Marino, Yan Gao, Tomás Paulik, Wanru Zhao, William F. Shen, Preslav Aleksandrov, Xinchi Qiu, Nicholas D. Lane

CoRR, 2024

Attacks on Third-Party APIs of Large Language Models.

Wanru Zhao, Vidit Khazanchi, Haodi Xing, Xuanli He, Qiongkai Xu, Nicholas Donald Lane

CoRR, 2024

Enhancing Data Quality in Federated Fine-Tuning of Foundation Models.

Wanru Zhao, Yaxin Du, Nicholas Donald Lane, Siheng Chen, Yanfeng Wang

CoRR, 2024

FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients.

Xinchi Qiu, Yan Gao, Lorenzo Sani, Heng Pan, Wanru Zhao, Pedro P. B. de Gusmao, Mina Alibeigi, Alex Iacob, Nicholas D. Lane

CoRR, 2024

CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics.

Wanru Zhao, Hongxiang Fan, Shell Xu Hu, Wangchunshu Zhou, Nicholas D. Lane

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

MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs.

Zhongshen Zeng, Yinhong Liu, Yingjia Wan, Jingyao Li, Pengguang Chen, Jianbo Dai, Yuxuan Yao, Rongwu Xu, Zehan Qi, Wanru Zhao, Linling Shen, Jianqiao Lu, Haochen Tan, Yukang Chen, Hao Zhang, Zhan Shi, Bailin Wang, Zhijiang Guo, Jiaya Jia

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

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages.

Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas Donald Lane

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Research Reviews, Hot Topics and Emerging Trends in the Field of Applied Research on VLEs for Undergraduate Teaching: An Analysis Based on Bibliometrics.

Xinru Zhao, Peng Zhu, Zhixiong Tang, Wanru Zhao, Ruixin Chen

Proceedings of the 13th International Conference on Educational and Information Technology, 2024

2023

Anomaly Diagnosis Method and Condition Assessment of Power Metering Device Based on SSD Algorithm.

Chao Jiang, Jinghua Wang, Yue Wang, Wanru Zhao

Scalable Comput. Pract. Exp., November, 2023

High-throughput Simulation of Federated Learning via Resource-Aware Client Placement.

Lorenzo Sani, Pedro Porto Buarque de Gusmão, Alex Iacob, Wanru Zhao, Xinchi Qiu, Yan Gao, Javier Fernández-Marqués, Nicholas Donald Lane

CoRR, 2023

vFedSec: Efficient Secure Aggregation for Vertical Federated Learning via Secure Layer.

Xinchi Qiu, Heng Pan, Wanru Zhao, Chenyang Ma, Pedro P. B. de Gusmao, Nicholas D. Lane

CoRR, 2023

Efficient Vertical Federated Learning with Secure Aggregation.

Xinchi Qiu, Heng Pan, Wanru Zhao, Chenyang Ma, Pedro Porto Buarque de Gusmão, Nicholas D. Lane

CoRR, 2023

Harms from Increasingly Agentic Algorithmic Systems.

Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle P. Lin, Alex Mayhew, Katherine M. Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, Tegan Maharaj

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Protea: client profiling within federated systems using flower.

Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Nicholas D. Lane

Proceedings of the 1st ACM Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge Network, 2022

2021

Hand-by-Hand Mentor: An AR based Training System for Piano Performance.

Ruoxi Guo, Jiahao Cui, Wanru Zhao, Shuai Li, Aimin Hao

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2021

2020

Graph Attention Based Proposal 3D ConvNets for Action Detection.

Jin Li, Xianglong Liu, Zhuofan Zong, Wanru Zhao, Mingyuan Zhang, Jingkuan Song

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020