Graph Attention Based Proposal 3D ConvNets for Action Detection. - Jin Li; Xianglong Liu 001; Zhuofan Zong; Wanru Zhao; Mingyuan Zhang; Jingkuan Song (AAAI, 2020)

Hand-by-Hand Mentor: An AR based Training System for Piano Performance. - Ruoxi Guo; Jiahao Cui 001; Wanru Zhao; Shuai Li 001; Aimin Hao (VR Workshops, 2021)

Protea: client profiling within federated systems using flower. - Wanru Zhao; Xinchi Qiu; Javier Fernández-Marqués; Pedro P. B. de Gusmao; Nicholas D. Lane (FedEdge@MobiCom, 2022)

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; et al. (FAccT, 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)

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)

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 016; Javier Fernández-Marqués; Nicholas Donald Lane (CoRR, 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., 2023)

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 (ICEIT, 2024)

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages. - Wanru Zhao; Yihong Chen; Royson Lee; Xinchi Qiu; Yan Gao 016; Hongxiang Fan; Nicholas Donald Lane (ICLR, 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; et al. (NeurIPS, 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 (NeurIPS, 2024)

FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients. - Xinchi Qiu; Yan Gao 016; Lorenzo Sani; Heng Pan; Wanru Zhao; Pedro P. B. de Gusmao; Mina Alibeigi; Alex Iacob; Nicholas D. Lane (CoRR, 2024)

Enhancing Data Quality in Federated Fine-Tuning of Foundation Models. - Wanru Zhao; Yaxin Du; Nicholas Donald Lane; Siheng Chen; Yanfeng Wang 001 (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)

The Future of Large Language Model Pre-training is Federated. - Lorenzo Sani; Alex Iacob; Zeyu Cao; Bill Marino; Yan Gao 016; Tomás Paulik; Wanru Zhao; William F. Shen; Preslav Aleksandrov; Xinchi Qiu; Nicholas D. Lane (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; et al. (CoRR, 2024)

Data Quality Control in Federated Instruction-tuning of Large Language Models. - Yaxin Du; Rui Ye 001; Yuchi Fengting; Wanru Zhao; Jingjing Qu; Yanfeng Wang 001; Siheng Chen (CoRR, 2024)

Photon: Federated LLM Pre-Training. - Lorenzo Sani; Alex Iacob; Zeyu Cao; Royson Lee; Bill Marino; Yan Gao 016; Dongqi Cai 001; Zexi Li; Wanru Zhao; Xinchi Qiu; Nicholas D. Lane (CoRR, 2024)

FedDQC: Data Quality Control in Federated Instruction-tuning of Large Language Models. - Yaxin Du; Rui Ye 001; Fengting Yuchi; Wanru Zhao; Jingjing Qu; Yanfeng Wang 001; Siheng Chen (ACL (Findings), 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 (ASP-DAC, 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 (ICEIT, 2025)

Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization. - Shengchao Hu; Wanru Zhao; Weixiong Lin; Li Shen 008; Ya Zhang 002; Dacheng Tao (AAMAS, 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, 2025)

Cascadia: A Cascade Serving System for Large Language Models. - Youhe Jiang; Fangcheng Fu; Wanru Zhao; Stephan Rabanser; Nicholas D. Lane; Binhang Yuan (CoRR, 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, 2025)