Fundamental lower bound for node buffer size in intermittently connected wireless networks. - Yuanzhong Xu; Xinbing Wang (INFOCOM, 2011)

Eternal Sunshine of the Spotless Machine: Protecting Privacy with Ephemeral Channels. - Alan M. Dunn; Michael Z. Lee; Suman Jana; Sangman Kim; Mark Silberstein; Yuanzhong Xu; Vitaly Shmatikov; Emmett Witchel (OSDI, 2012)

Lower Bound for Node Buffer Size in Intermittently Connected Wireless Networks. - Xinbing Wang; Tuo Yu; Yuanzhong Xu (IEEE Trans. Parallel Distributed Syst., 2013)

Application-Defined Decentralized Access Control. - Yuanzhong Xu; Alan M. Dunn; Owen S. Hofmann; Michael Z. Lee; Syed Akbar Mehdi; Emmett Witchel (USENIX ATC, 2014)

Maxoid: transparently confining mobile applications with custom views of state. - Yuanzhong Xu; Emmett Witchel (EuroSys, 2015)

Controlled-Channel Attacks: Deterministic Side Channels for Untrusted Operating Systems. - Yuanzhong Xu; Weidong Cui; Marcus Peinado (IEEE Symposium on Security and Privacy, 2015)

Sego: Pervasive Trusted Metadata for Efficiently Verified Untrusted System Services. - Youngjin Kwon; Alan M. Dunn; Michael Z. Lee; Owen S. Hofmann; Yuanzhong Xu; Emmett Witchel (ASPLOS, 2016)

EARP: Principled Storage, Sharing, and Protection for Mobile Apps. - Yuanzhong Xu; Tyler Hunt; Youngjin Kwon; Martin Georgiev; Vitaly Shmatikov; Emmett Witchel (GetMobile Mob. Comput. Commun., 2016)

Ryoan: A Distributed Sandbox for Untrusted Computation on Secret Data. - Tyler Hunt; Zhiting Zhu; Yuanzhong Xu; Simon Peter 001; Emmett Witchel (ACM Trans. Comput. Syst., 2017)

Scale MLPerf-0.6 models on Google TPU-v3 Pods. - Sameer Kumar; Victor Bitorff; Dehao Chen; Chiachen Chou; Blake A. Hechtman; HyoukJoong Lee; Naveen Kumar; Peter Mattson; Shibo Wang; Tao Wang; Yuanzhong Xu; Zongwei Zhou (CoRR, 2019)

Automatic Cross-Replica Sharding of Weight Update in Data-Parallel Training. - Yuanzhong Xu; HyoukJoong Lee; Dehao Chen; Hongjun Choi; Blake A. Hechtman; Shibo Wang (CoRR, 2020)

Exploring the limits of Concurrency in ML Training on Google TPUs. - Sameer Kumar; James Bradbury; Cliff Young; Yu Emma Wang; Anselm Levskaya; Blake A. Hechtman; Dehao Chen; HyoukJoong Lee; Mehmet Deveci; Naveen Kumar; Pankaj Kanwar; Shibo Wang; et al. (CoRR, 2020)

A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers. - Phitchaya Mangpo Phothilimthana; Amit Sabne; Nikhil Sarda; Karthik Srinivasa Murthy; Yanqi Zhou; Christof Angermueller; Mike Burrows; Sudip Roy 002; Ketan Mandke; Rezsa Farahani; Yu Emma Wang; Berkin Ilbeyi; et al. (PACT, 2021)

GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding. - Dmitry Lepikhin; HyoukJoong Lee; Yuanzhong Xu; Dehao Chen; Orhan Firat; Yanping Huang; Maxim Krikun; Noam Shazeer; Zhifeng Chen (ICLR, 2021)

GSPMD: General and Scalable Parallelization for ML Computation Graphs. - Yuanzhong Xu; HyoukJoong Lee; Dehao Chen; Blake A. Hechtman; Yanping Huang; Rahul Joshi; Maxim Krikun; Dmitry Lepikhin; Andy Ly; Marcello Maggioni; Ruoming Pang; Noam Shazeer; et al. (CoRR, 2021)

Vector-quantized Image Modeling with Improved VQGAN. - Jiahui Yu; Xin Li; Jing Yu Koh; Han Zhang 010; Ruoming Pang; James Qin; Alexander Ku; Yuanzhong Xu; Jason Baldridge; Yonghui Wu (ICLR, 2022)

GLaM: Efficient Scaling of Language Models with Mixture-of-Experts. - Nan Du 002; Yanping Huang; Andrew M. Dai; Simon Tong; Dmitry Lepikhin; Yuanzhong Xu; Maxim Krikun; Yanqi Zhou; Adams Wei Yu; Orhan Firat; Barret Zoph; Liam Fedus; et al. (ICML, 2022)

Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. - Lianmin Zheng; Zhuohan Li 001; Hao Zhang 025; Yonghao Zhuang 001; Zhifeng Chen; Yanping Huang; Yida Wang 003; Yuanzhong Xu; Danyang Zhuo; Eric P. Xing; Joseph E. Gonzalez; Ion Stoica (OSDI, 2022)

LaMDA: Language Models for Dialog Applications. - Romal Thoppilan; Daniel De Freitas; Jamie Hall; Noam Shazeer; Apoorv Kulshreshtha; Heng-Tze Cheng; Alicia Jin; Taylor Bos; Leslie Baker; Yu Du; YaGuang Li; Hongrae Lee; et al. (CoRR, 2022)

Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. - Lianmin Zheng; Zhuohan Li 001; Hao Zhang 025; Yonghao Zhuang 001; Zhifeng Chen; Yanping Huang; Yida Wang 003; Yuanzhong Xu; Danyang Zhuo; Joseph E. Gonzalez; Ion Stoica (CoRR, 2022)

BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. - Yu Zhang 033; Daniel S. Park; Wei Han 002; James Qin; Anmol Gulati; Joel Shor; Aren Jansen; Yuanzhong Xu; Yanping Huang; Shibo Wang; Zongwei Zhou; Bo Li 028; et al. (IEEE J. Sel. Top. Signal Process., 2022)

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation. - Jiahui Yu; Yuanzhong Xu; Jing Yu Koh; Thang Luong; Gunjan Baid; Zirui Wang; Vijay Vasudevan; Alexander Ku; Yinfei Yang; Burcu Karagol Ayan; Ben Hutchinson; Wei Han; et al. (Trans. Mach. Learn. Res., 2022)

Overlap Communication with Dependent Computation via Decomposition in Large Deep Learning Models. - Shibo Wang; Jinliang Wei; Amit Sabne; Andy Davis; Berkin Ilbeyi; Blake Hechtman; Dehao Chen; Karthik Srinivasa Murthy; Marcello Maggioni; Qiao Zhang; Sameer Kumar; Tongfei Guo; et al. (ASPLOS (1), 2023)

PaLM 2 Technical Report. - Rohan Anil; Andrew M. Dai; Orhan Firat; Melvin Johnson; Dmitry Lepikhin; Alexandre Passos; Siamak Shakeri; Emanuel Taropa; Paige Bailey; Zhifeng Chen; Eric Chu; Jonathan H. Clark; et al. (CoRR, 2023)

PaLI-X: On Scaling up a Multilingual Vision and Language Model. - Xi Chen 071; Josip Djolonga; Piotr Padlewski; Basil Mustafa; Soravit Changpinyo; Jialin Wu; Carlos Riquelme Ruiz; Sebastian Goodman; Xiao Wang 038; Yi Tay; Siamak Shakeri; Mostafa Dehghani 001; et al. (CoRR, 2023)

Learning to Skip for Language Modeling. - Dewen Zeng; Nan Du 002; Tao Wang; Yuanzhong Xu; Tao Lei; Zhifeng Chen; Claire Cui (CoRR, 2023)

Gemini: A Family of Highly Capable Multimodal Models. - Rohan Anil; Sebastian Borgeaud; Yonghui Wu; Jean-Baptiste Alayrac; Jiahui Yu; Radu Soricut; Johan Schalkwyk; Andrew M. Dai; Anja Hauth; Katie Millican; David Silver; Slav Petrov; et al. (CoRR, 2023)

Reliable and Efficient Chip-PCB Hybrid PUF and Lightweight Key Generator. - Yuanzhong Xu; Tao Ke; Wenjun Cao; Yao Fu; Zhangqing He (IEICE Trans. Electron., 2023)

On Scaling Up a Multilingual Vision and Language Model. - Xi Chen 071; Josip Djolonga; Piotr Padlewski; Basil Mustafa; Soravit Changpinyo; Jialin Wu; Carlos Riquelme Ruiz; Sebastian Goodman; Xiao Wang 038; Yi Tay; Siamak Shakeri; Mostafa Dehghani 001; et al. (CVPR, 2024)

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context. - Machel Reid; Nikolay Savinov; Denis Teplyashin; Dmitry Lepikhin; Timothy P. Lillicrap; Jean-Baptiste Alayrac; Radu Soricut; Angeliki Lazaridou; Orhan Firat; Julian Schrittwieser; Ioannis Antonoglou; Rohan Anil; et al. (CoRR, 2024)

Wireless Power Transfer Efficiency Optimization Tracking Method Based on Full Current Mode Impedance Matching. - Yuanzhong Xu; Yuxuan Zhang; Tiezhou Wu (Sensors, 2024)