I am a Ph.D. candidate in the Department of Computer Science at the University of Texas at Austin, advised by Professor Katrin Erk. My research interests lie in Natural Language Processing (NLP), focusing on computational semantics. I am particularly interested in different approaches of integrating structural semantic knowledge into end-to-end neural models for better natural language What up yo! This is Hao, I’m a German born punky of Taiwanese descent doing computer graphics.I know, #epicfail. But I’m also the CEO of Pinscreen, a well-funded startup that builds the world’s most advanced AI-driven virtual avatars.Before that, I was an Associate Professor (with tenure), fashion mödel, and zombie at the Computer Science Department of the University of Southern Pengda Xiang, Chenhui Zhu and Changyu Zhu, from left, will advance to the ACM ICPC world finals next year. (Photo/Southern California ACM International Collegiate Programming Contest) Learning Formation of Physically-Based Face Attributes Ruilong Li1,2∗ Karl Bladin1∗ Yajie Zhao1∗ Chinmay Chinara1 Owen Ingraham1 Pengda Xiang1,2 Xinglei Ren1 Pratusha Prasad1 Bipin Kishore1 Jun Xing1 Hao Li 1,2,3 1USC Institute for Creative Technologies 2University of Southern California 3Pinscreen IdNet ExpNet TexNet Final Maps Geometry Map Expression latent Learning Formation of Physically-Based Face Attributes. Ruilong Li*, Kalle Bladin*, Yajie Zhao*, Chinmay Chinara, Owen Ingraham, Pengda Xiang, Xinglei Ren, Pratusha 05/06/2018 Ruilong Li, Karl Bladin, Yajie Zhao, Chinmay Chinara, Owen Ingraham, Pengda Xiang, Xinglei Ren, Pratusha Prasad, Bipin Kishore, Jun Xing, Hao Li; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 3410-3419
Ruilong Li, Karl Bladin, Yajie Zhao, Chinmay Chinara, Owen Ingraham, Pengda Xiang, Xinglei Ren, Pratusha Prasad, Bipin Kishore, Jun Xing, Hao Li; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 3410-3419 Learning Formation of Physically-Based Face Attributes Ruilong Li1,2 Karl Bladin1 Yajie Zhao1 Chinmay Chinara1 Owen Ingraham1 Pengda Xiang1,2 Xinglei Ren1 Pratusha Prasad1 Bipin Kishore1 Jun Xing1 Hao Li 1,2,3 Learning Formation of Physically-based Face Attributes Ruilong Li, Kalle Bladin, Yajie Zhao, Chinmay Chinara, Owen Ingraham, Pengda Xiang, Xinglei Ren, Pratusha Prasad, Biping Kishore, Jun Xing, Hao Li CVPR 2020
Pengda Qin♯, Weiran Xu♯, William Yang Wang♭. ♯Beijing University of Cicero Nogueira dos Santos, Bing Xiang, and Bowen. Zhou. 2015. Classifying Xiang, Yang9 (AUTHOR) Davis, Ian2,5,10 (AUTHOR) Dokholyan Liu, Pengda2 ,3 (AUTHOR) pengda_liu@med.unc.edu; Source: Nature Communications
Pengda Xiang, Chenhui Zhu and Changyu Zhu, from left, will advance to the ACM ICPC world finals next year. (Photo/Southern California ACM International Collegiate Programming Contest) Learning Formation of Physically-Based Face Attributes Ruilong Li1,2∗ Karl Bladin1∗ Yajie Zhao1∗ Chinmay Chinara1 Owen Ingraham1 Pengda Xiang1,2 Xinglei Ren1 Pratusha Prasad1 Bipin Kishore1 Jun Xing1 Hao Li 1,2,3 1USC Institute for Creative Technologies 2University of Southern California 3Pinscreen IdNet ExpNet TexNet Final Maps Geometry Map Expression latent Learning Formation of Physically-Based Face Attributes. Ruilong Li*, Kalle Bladin*, Yajie Zhao*, Chinmay Chinara, Owen Ingraham, Pengda Xiang, Xinglei Ren, Pratusha 05/06/2018
1: Article: LATS suppresses mTORC1 activity to directly coordinate Hippo and mTORC1 pathways in growth control. 2020 Gan, Wenjian / Dai, Xiaoming / Dai, Xiangpeng / Xie, Jun / Yin, Shasha / Zhu, Junjie / Wang, Chen / Liu, Yuchen / Guo, Jianping / Wang, Min / Liu, Jing / Hu, Jia / Quinton, Ryan J / Ganem, Neil J / Liu, Pengda / Asara, John M / Pandolfi, Pier Paolo / Yang, Yingzi / He, Zhigang