Statistical reliability analysis under process variation and aging effects. - Yinghai Lu; Li Shang; Hai Zhou 001; Hengliang Zhu; Fan Yang 001; Xuan Zeng 001 (DAC, 2009)

Multicore parallel min-cost flow algorithm for CAD applications. - Yinghai Lu; Hai Zhou 001; Li Shang; Xuan Zeng 001 (DAC, 2009)

Multicore Parallelization of Min-Cost Flow for CAD Applications. - Yinghai Lu; Hai Zhou 001; Li Shang; Xuan Zeng 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2010)

Low power discrete voltage assignment under clock skew scheduling. - Li Li 021; Jian Sun 005; Yinghai Lu; Hai Zhou 001; Xuan Zeng 001 (ASP-DAC, 2011)

Post-routing layer assignment for double patterning. - Jian Sun 005; Yinghai Lu; Hai Zhou 001; Xuan Zeng 001 (ASP-DAC, 2011)

Parallel cross-layer optimization of high-level synthesis and physical design. - James Williamson; Yinghai Lu; Li Shang; Hai Zhou 001; Xuan Zeng 001 (ASP-DAC, 2011)

Optimal multi-domain clock skew scheduling. - Li Li 021; Yinghai Lu; Hai Zhou 001 (DAC, 2011)

Optimal prescribed-domain clock skew scheduling. - Li Li 021; Yinghai Lu; Hai Zhou 001 (ASP-DAC, 2012)

An efficient algorithm for library-based cell-type selection in high-performance low-power designs. - Li Li 021; Peng Kang; Yinghai Lu; Hai Zhou 001 (ICCAD, 2012)

Efficient design space exploration for component-based system design. - Yinghai Lu; Hai Zhou 001 (ICCAD, 2012)

Retiming for Soft Error Minimization Under Error-Latching Window Constraints. - Yinghai Lu; Hai Zhou 001 (DATE, 2013)

Post-routing layer assignment for double patterning with timing critical paths consideration. - Jian Sun 005; Yinghai Lu; Hai Zhou 001; Changhao Yan; Xuan Zeng 001 (Integr., 2013)

Optimal and Efficient Algorithms for Multidomain Clock Skew Scheduling. - Li Li 021; Yinghai Lu; Hai Zhou 001 (IEEE Trans. Very Large Scale Integr. Syst., 2014)

Rethinking Concurrency Control for In-Memory OLAP DBMSs. - Pedro Pedreira; Yinghai Lu; Sergey Pershin; Amit Dutta; Chris Croswhite (ICDE, 2018)

Deep Learning Recommendation Model for Personalization and Recommendation Systems. - Maxim Naumov; Dheevatsa Mudigere; Hao-Jun Michael Shi; Jianyu Huang; Narayanan Sundaraman; Jongsoo Park; Xiaodong Wang 020; Udit Gupta; Carole-Jean Wu; Alisson G. Azzolini; Dmytro Dzhulgakov; Andrey Mallevich; et al. (CoRR, 2019)

First-Generation Inference Accelerator Deployment at Facebook. - Michael J. Anderson; Benny Chen; Stephen Chen; Summer Deng; Jordan Fix; Michael Gschwind; Aravind Kalaiah; Changkyu Kim; Jaewon Lee; Jason Liang; Haixin Liu; Yinghai Lu; et al. (CoRR, 2021)

Llama 2: Open Foundation and Fine-Tuned Chat Models. - Hugo Touvron; Louis Martin; Kevin Stone; Peter Albert; Amjad Almahairi; Yasmine Babaei; Nikolay Bashlykov; Soumya Batra; Prajjwal Bhargava; Shruti Bhosale; Dan Bikel; Lukas Blecher; et al. (CoRR, 2023)

PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation. - Jason Ansel; Edward Z. Yang; Horace He; Natalia Gimelshein; Animesh Jain; Michael Voznesensky; Bin Bao; Peter Bell 008; David Berard; Evgeni Burovski; Geeta Chauhan; Anjali Chourdia; et al. (ASPLOS (2), 2024)

Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations. - Jiaqi Zhai; Lucy Liao; Xing Liu; Yueming Wang; Rui Li; Xuan Cao; Leon Gao; Zhaojie Gong; Fangda Gu; Jiayuan He 008; Yinghai Lu; Yu Shi (ICML, 2024)

Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations. - Jiaqi Zhai; Lucy Liao; Xing Liu; Yueming Wang; Rui Li; Xuan Cao; Leon Gao; Zhaojie Gong; Fangda Gu; Michael He; Yinghai Lu; Yu Shi (CoRR, 2024)