Pengda liu stanford

Pengda Liu currently works at The University of North Carolina at Chapel Hill. Their current project is 'Novel functions of mTOR/Akt in metabolism and epigenetics..'

20 Jan 2020 Abbaszadeh, Shiva (Canada), Liu, Tzong-shi Huang, Pengda, Tirado-Mendez, Jose Alfredo Li, Xisheng, Zhang, Yu (Stanford University). Contact Information · Handbooks/Manuals · FAQs; Close. setting. Home · Stanford University · CREATE ACCOUNT LOGIN MobileApps Galactico · Pengda Liu  Silvio Savarese, Li Fei-Fei Department of Computer Science, Stanford University ‡ constructive feedback. We thank Pengda Liu for help with infrastructure. 25 Feb 2020 Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, and William on Web and Social Media (ICWSM 2018), full paper, Stanford, CA,. Vivek Kulkarni (Postdoc, now at Stanford); Pengda Qin (Visiting Ph.D. from Yu Hao (THU, 2018 Summer, Now M.S. CMU); Hui Liu (PKU, 2018 Summer,  List of computer science publications by Ting Liu. Spitkovsky, Ting Liu: A Comparison of Chinese Parsers for Stanford Dependencies. Pengda Qin. [i49]. 146. 7 Nov 2018 amandlek@stanford.edu and to download our pilot dataset, visit roboturk. stanford.edu We thank Pengda Liu for help with infrastructure.

Shagun Goel (gshagun@cs.stanford.edu) Elan Dakota Halpern (elanh@cs.stanford.edu) Jeffrey Cao Hu (jeffhu@cs.stanford.edu) Edward W Lee (edlee1@cs.stanford.edu) Pengda Liu (pengdal@cs.stanford.edu) Renner Lucena (renner@cs.stanford.edu) Priscilla Peisan Lui (plui@cs.stanford.edu) Eric Martin (ericmarkmartin@cs.stanford.edu)

Pengda Liu Assistant Professor, Dept. of Biochemistry and Biophysics, Lineberger Compreshensive Caner Center, UNC-Chapel Hill Chapel Hill, North Carolina 376 connections Pengda Liu currently works at The University of North Carolina at Chapel Hill. Their current project is 'Novel functions of mTOR/Akt in metabolism and epigenetics..' Pengda Liu Masters Student in Computer Science, admitted Autumn 2017 Reader/Grader - UG, Mathematics. Xiaohai Liu Stanford Student Employee, Center for Teaching and Learning Undergraduate, BioI am a PhD graduate student and a Stanford ChEM-H Chemistry/Biology Interface Predoctoral Trainee at Stanford University, Department of Chemistry Machine learning on predicting gross box o ce Pengda Liu Dec 2016 1 Introduction In recent years, the movie market has been growing larger each year.This industry generates ap-

P Liu, W Gan, H Inuzuka, AS Lazorchak, D Gao, O Arojo, D Liu, L Wan, Nature cell biology 15 (11), 1340-1350, 2013. 187, 2013. PtdIns (3, 4, 5) P3-dependent 

Undergraduate student majoring in Math and CS at Stanford University. I love REAL research and SMART engineering. San Francisco Bay Area. Pengda Liu. Pengda Liu Assistant Professor, Dept. of Our laboratory focuses on deciphering the molecular mechanisms underlying aberrant cell signaling events that contribute to tumorigenesis including but not limited to the oncogenic mTOR/Akt pathway. Pengda Liu Masters Student in Computer Science, admitted Autumn 2017 Reader/Grader - UG, Mathematics. Xiaohai Liu Stanford Student Employee, Center for Teaching and Learning Undergraduate, BioI am a PhD graduate student and a Stanford ChEM-H Chemistry/Biology Interface Predoctoral Trainee at Stanford University, Department of Chemistry Pengda Liu Dec 2016 1 Introduction In recent years, the movie market has been growing larger each year.This industry generates ap-proximately billions dollars of revenue annually[1]. The question of what makes a lm successful has been asked for over the years, not just by you and me:large companies like Twenty-First Cen- Speech recognition with DNN-LAS Jack Jin Stanford University Stanford, CA 94305 jackjin@stanford.edu Pengda Liu Stanford University Stanford, CA 94305 pengdaliu@stanford.edu Geng Zhao Stanford University Stanford, CA 94305 gengz@stanford.edu Abstract In this project, we build a speech recognition system by trying to improve the Shagun Goel (gshagun@cs.stanford.edu) Elan Dakota Halpern (elanh@cs.stanford.edu) Jeffrey Cao Hu (jeffhu@cs.stanford.edu) Edward W Lee (edlee1@cs.stanford.edu) Pengda Liu (pengdal@cs.stanford.edu) Renner Lucena (renner@cs.stanford.edu) Priscilla Peisan Lui (plui@cs.stanford.edu) Eric Martin (ericmarkmartin@cs.stanford.edu)

Speech recognition with DNN-LAS Jack Jin Stanford University Stanford, CA 94305 jackjin@stanford.edu Pengda Liu Stanford University Stanford, CA 94305 pengdaliu@stanford.edu Geng Zhao Stanford University Stanford, CA 94305 gengz@stanford.edu Abstract In this project, we build a speech recognition system by trying to improve the

Contact Information · Handbooks/Manuals · FAQs; Close. setting. Home · Stanford University · CREATE ACCOUNT LOGIN MobileApps Galactico · Pengda Liu  Silvio Savarese, Li Fei-Fei Department of Computer Science, Stanford University ‡ constructive feedback. We thank Pengda Liu for help with infrastructure. 25 Feb 2020 Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, and William on Web and Social Media (ICWSM 2018), full paper, Stanford, CA,. Vivek Kulkarni (Postdoc, now at Stanford); Pengda Qin (Visiting Ph.D. from Yu Hao (THU, 2018 Summer, Now M.S. CMU); Hui Liu (PKU, 2018 Summer,  List of computer science publications by Ting Liu. Spitkovsky, Ting Liu: A Comparison of Chinese Parsers for Stanford Dependencies. Pengda Qin. [i49]. 146. 7 Nov 2018 amandlek@stanford.edu and to download our pilot dataset, visit roboturk. stanford.edu We thank Pengda Liu for help with infrastructure.

Silvio Savarese, Li Fei-Fei Department of Computer Science, Stanford University ‡ constructive feedback. We thank Pengda Liu for help with infrastructure.

About Stanford Profiles. Search for faculty, staff, students and postdocs in one place to find information (Expertise, Bio, Research, Publications, and more) on people you would like to collaborate with and contact information to be able to communicate with them directly. Prize Winners Congratulations to our prize winners for having exceptional class projects! Final Project Prize Winners. Beating Atari with Natural Language Guided Reinforcement Learning by Alexander Antonio Sosa / Christopher Peterson Sauer / Russell James Kaplan; Image-Question-Linguistic Co-Attention for Visual Question Answering by Shutong Zhang / Chenyue Meng / Yixin Wang

Pengda Liu. Undergraduate student majoring in Math and CS at Stanford University. I love REAL research and SMART engineering. GoogleStanford University. P Liu, W Gan, H Inuzuka, AS Lazorchak, D Gao, O Arojo, D Liu, L Wan, Nature cell biology 15 (11), 1340-1350, 2013. 187, 2013. PtdIns (3, 4, 5) P3-dependent