Rulin Shao

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Pin-Yu ChenPrincipal Research Scientist, IBM Research AI; MIT-IBM Watson AI Lab; RPI-IBM AIRCVerified email at ibm.com
Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
Dacheng LiUC BerkeleyVerified email at berkeley.edu
Hao ZhangUC San DiegoVerified email at ucsd.edu
Xuezhe MaInformation Sciences Institute, University of Southern CaliforniaVerified email at usc.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Joseph E. GonzalezProfessor of Computer Science, UC BerkeleyVerified email at berkeley.edu
Louis-Philippe MorencyAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Ludwig SchmidtUniversity of Washington and Allen Institute for AIVerified email at cs.washington.edu
Luke ZettlemoyerUniversity of Washington; MetaVerified email at cs.washington.edu
Pang Wei KohUniversity of WashingtonVerified email at cs.washington.edu
Sewon MinUniversity of WashingtonVerified email at cs.washington.edu

Rulin Shao

University of Washington

Verified email at cs.washington.edu - Homepage

machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
On the adversarial robustness of vision transformers R Shao, Z Shi, J Yi, PY Chen, CJ Hsieh Transactions on Machine Learning Research (TMLR), 2022	178	2022
How Long Can Context Length of Open-Source LLMs truly Promise? D Li, R Shao, A Xie, Y Sheng, L Zheng, J Gonzalez, I Stoica, X Ma, ... NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following, 2023	51*	2023
Stochastic Channel-Based Federated Learning With Neural Network Pruning for Medical Data Privacy Preservation: Model Development and Experimental Validation R Shao, H He, Z Chen, H Liu, D Liu Journal of Medical Internet Research (JMIR) Form Res 2020;4(12):e17265, DOI …, 2020	34*	2020
MPCFormer: fast, performant and private Transformer inference with MPC D Li, R Shao, H Wang*, H Guo, EP Xing, H Zhang ICLR 2023 (Spotlight), 2022	31	2022
VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models Y Bitton, H Bansal, J Hessel, R Shao, W Zhu, A Awadalla, J Gardner, ... Advances in Neural Information Processing Systems 36, 2024	23*	2024
Robust text captchas using adversarial examples R Shao, Z Shi, J Yi, PY Chen, CJ Hsieh 2022 IEEE International Conference on Big Data (Big Data), 1495-1504, 2022	15	2022
How and When Adversarial Robustness Transfers in Knowledge Distillation? R Shao, J Yi, PY Chen, CJ Hsieh ARoW in European Conference on Computer Vision (ECCV 2022), 2021	10	2021
Cross-modal Attention Congruence Regularization for Vision-Language Relation Alignment R Pandey, R Shao, PP Liang, R Salakhutdinov, LP Morency ACL 2023, 2022	8	2022
LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformer D Li, R Shao, A Xie, EP Xing, JE Gonzalez, I Stoica, X Ma, H Zhang arXiv preprint arXiv:2310.03294, 2023	5	2023
Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning Z Xu, C Feng, R Shao, T Ashby, Y Shen, D Jin, Y Cheng, Q Wang, ... arXiv preprint arXiv:2402.11690, 2024	3	2024
Language models scale reliably with over-training and on downstream tasks SY Gadre, G Smyrnis, V Shankar, S Gururangan, M Wortsman, R Shao, ... arXiv preprint arXiv:2403.08540, 2024	1	2024
Language models scale reliably with over-training and on downstream tasks S Yitzhak Gadre, G Smyrnis, V Shankar, S Gururangan, M Wortsman, ... arXiv e-prints, arXiv: 2403.08540, 2024		2024
Retrieval-based Language Models Using a Multi-domain Datastore R Shao, S Min, L Zettlemoyer, PW Koh NeurIPS 2023 Workshop on Distribution Shifts: New Frontiers with Foundation …, 2023		2023

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