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2020 – today
- 2025
[c13]Yaxin Du, Rui Ye, Fengting Yuchi, Wanru Zhao, Jingjing Qu, Yanfeng Wang, Siheng Chen:
FedDQC: Data Quality Control in Federated Instruction-tuning of Large Language Models. ACL (Findings) 2025: 15267-15291- [c12]Jiahao Gai
, Hao Chen, Zhican Wang, Hongyu Zhou, Wanru Zhao, Nicholas D. Lane, Hongxiang Fan:
Exploring Code Language Models for Automated HLS-based Hardware Generation: Benchmark, Infrastructure and Analysis. ASP-DAC 2025: 988-994 - [c11]Xinru Zhao, Zhixiong Tang, Wanru Zhao, Ruixin Chen, Long Liang:
A Review of Research, Hot Topics, and Emerging Trends in Learning Management Systems for Undergraduate Education: A Bibliometric Analysis. ICEIT 2025: 536-543 - [c10]Shengchao Hu, Wanru Zhao, Weixiong Lin, Li Shen, Ya Zhang, Dacheng Tao:
Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization. AAMAS 2025: 2556-2558 - [c9]Lorenzo Sani, Alex Iacob, Zeyu Cao, Royson Lee, Bill Marino, Yan Gao, Wanru Zhao, Dongqi Cai, Zexi Li, Xinchi Qiu, Nicholas D. Lane:
Photon: Federated LLM Pre-Training. MLSys 2025 - [i21]Jiahao Gai, Hao Chen, Zhican Wang, Hongyu Zhou, Wanru Zhao, Nicholas D. Lane, Hongxiang Fan:
Exploring Code Language Models for Automated HLS-based Hardware Generation: Benchmark, Infrastructure and Analysis. CoRR abs/2502.13921 (2025) - [i20]Hao Mark Chen, Zehuan Zhang, Wanru Zhao, Nicholas D. Lane, Hongxiang Fan:
Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization. CoRR abs/2506.00002 (2025) - [i19]Youhe Jiang, Fangcheng Fu, Wanru Zhao, Stephan Rabanser, Nicholas D. Lane, Binhang Yuan:
Cascadia: A Cascade Serving System for Large Language Models. CoRR abs/2506.04203 (2025) - [i18]Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas D. Lane:
Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages. CoRR abs/2507.03003 (2025) - [i17]Wanru Zhao, Hongxiang Fan, Shell Xu Hu, Wangchunshu Zhou, Bofan Chen, Nicholas D. Lane:
CLUES: Collaborative High-Quality Data Selection for LLMs via Training Dynamics. CoRR abs/2507.03004 (2025) - [i16]Leyla Mirvakhabova, Babak Ehteshami Bejnordi, Gaurav Kumar, Hanxue Liang, Wanru Zhao, Paul N. Whatmough:
Dirichlet-Prior Shaping: Guiding Expert Specialization in Upcycled MoEs. CoRR abs/2510.01185 (2025) - [i15]Zhangde Song, Jieyu Lu, Yuanqi Du, Botao Yu, Thomas M. Pruyn, Yue Huang, Kehan Guo, Xiuzhe Luo, Yuanhao Qu, Yi Qu, Yinkai Wang, Haorui Wang, Jeff Guo, Jingru Gan, Parshin Shojaee, Di Luo, Andres M. Bran, Gen Li, Qiyuan Zhao, Shao-Xiong Lennon Luo, Yuxuan Zhang, Xiang Zou, Wanru Zhao, Yifan F. Zhang, Wucheng Zhang, Shunan Zheng, Saiyang Zhang, Sartaaj Takrim Khan, Mahyar Rajabi Kochi, Samantha Paradi-Maropakis, Tony Baltoiu, Fengyu Xie, Tianyang Chen, Kexin Huang, Weiliang Luo, Meijing Fang, Xin Yang, Lixue Cheng, Jiajun He, Soha Hassoun, Xiangliang Zhang, Wei Wang, Chandan K. Reddy, Chao Zhang, Zhiling Zheng, Mengdi Wang, Le Cong, Carla P. Gomes, Chang-Yu Hsieh, Aditya Nandy, Philippe Schwaller, Heather J. Kulik, Haojun Jia, Huan Sun, Seyed Mohamad Moosavi, Chenru Duan:
Evaluating Large Language Models in Scientific Discovery. CoRR abs/2512.15567 (2025) - [i14]Gül Sena Altintas, Malikeh Ehghaghi, Brian Lester, Fengyuan Liu, Wanru Zhao, Marco Ciccone, Colin Raffel:
TokSuite: Measuring the Impact of Tokenizer Choice on Language Model Behavior. CoRR abs/2512.20757 (2025) - 2024
- [c8]Xinru Zhao, Peng Zhu, Zhixiong Tang, Wanru Zhao, Ruixin Chen:
Research Reviews, Hot Topics and Emerging Trends in the Field of Applied Research on VLEs for Undergraduate Teaching: An Analysis Based on Bibliometrics. ICEIT 2024: 212-222 - [c7]Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas Donald Lane:
Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages. ICLR 2024 - [c6]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:
MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs. NeurIPS 2024 - [c5]Wanru Zhao, Hongxiang Fan, Shell Xu Hu, Wangchunshu Zhou, Nicholas D. Lane:
CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics. NeurIPS 2024 - [i13]Xinchi Qiu, Yan Gao, Lorenzo Sani, Heng Pan, Wanru Zhao, Pedro P. B. de Gusmao, Mina Alibeigi, Alex Iacob, Nicholas D. Lane:
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients. CoRR abs/2402.10191 (2024) - [i12]Wanru Zhao, Yaxin Du, Nicholas Donald Lane, Siheng Chen, Yanfeng Wang:
Enhancing Data Quality in Federated Fine-Tuning of Foundation Models. CoRR abs/2403.04529 (2024) - [i11]Wanru Zhao, Vidit Khazanchi, Haodi Xing, Xuanli He, Qiongkai Xu, Nicholas Donald Lane:
Attacks on Third-Party APIs of Large Language Models. CoRR abs/2404.16891 (2024) - [i10]Lorenzo Sani, Alex Iacob, Zeyu Cao, Bill Marino, Yan Gao, Tomás Paulik, Wanru Zhao, William F. Shen, Preslav Aleksandrov, Xinchi Qiu, Nicholas D. Lane:
The Future of Large Language Model Pre-training is Federated. CoRR abs/2405.10853 (2024) - [i9]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:
MR-BEN: A Comprehensive Meta-Reasoning Benchmark for Large Language Models. CoRR abs/2406.13975 (2024) - [i8]Yaxin Du, Rui Ye, Yuchi Fengting, Wanru Zhao, Jingjing Qu, Yanfeng Wang, Siheng Chen:
Data Quality Control in Federated Instruction-tuning of Large Language Models. CoRR abs/2410.11540 (2024) - [i7]Shengchao Hu, Wanru Zhao, Weixiong Lin, Li Shen, Ya Zhang, Dacheng Tao:
Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization. CoRR abs/2411.01168 (2024) - [i6]Lorenzo Sani, Alex Iacob, Zeyu Cao, Royson Lee, Bill Marino, Yan Gao, Dongqi Cai, Zexi Li, Wanru Zhao, Xinchi Qiu, Nicholas D. Lane:
Photon: Federated LLM Pre-Training. CoRR abs/2411.02908 (2024) - 2023
- [j1]Chao Jiang, Jinghua Wang, Yue Wang, Wanru Zhao:
Anomaly Diagnosis Method and Condition Assessment of Power Metering Device Based on SSD Algorithm. Scalable Comput. Pract. Exp. 24(4): 1177-1184 (2023) - [c4]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:
Harms from Increasingly Agentic Algorithmic Systems. FAccT 2023: 651-666 - [i5]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:
Harms from Increasingly Agentic Algorithmic Systems. CoRR abs/2302.10329 (2023) - [i4]Xinchi Qiu, Heng Pan, Wanru Zhao, Chenyang Ma, Pedro Porto Buarque de Gusmão, Nicholas D. Lane:
Efficient Vertical Federated Learning with Secure Aggregation. CoRR abs/2305.11236 (2023) - [i3]Xinchi Qiu, Heng Pan, Wanru Zhao, Chenyang Ma, Pedro P. B. de Gusmao, Nicholas D. Lane:
vFedSec: Efficient Secure Aggregation for Vertical Federated Learning via Secure Layer. CoRR abs/2305.16794 (2023) - [i2]Lorenzo Sani, Pedro Porto Buarque de Gusmão, Alex Iacob, Wanru Zhao, Xinchi Qiu, Yan Gao, Javier Fernández-Marqués, Nicholas Donald Lane:
High-throughput Simulation of Federated Learning via Resource-Aware Client Placement. CoRR abs/2306.17453 (2023) - 2022
- [c3]Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Nicholas D. Lane:
Protea: client profiling within federated systems using flower. FedEdge@MobiCom 2022: 1-6 - [i1]Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Nicholas D. Lane:
Protea: Client Profiling within Federated Systems using Flower. CoRR abs/2207.01053 (2022) - 2021
- [c2]Ruoxi Guo, Jiahao Cui, Wanru Zhao, Shuai Li, Aimin Hao:
Hand-by-Hand Mentor: An AR based Training System for Piano Performance. VR Workshops 2021: 436-437 - 2020
- [c1]Jin Li, Xianglong Liu, Zhuofan Zong, Wanru Zhao, Mingyuan Zhang, Jingkuan Song:
Graph Attention Based Proposal 3D ConvNets for Action Detection. AAAI 2020: 4626-4633
Coauthor Index
aka: Nicholas Donald Lane
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