Brief Biography

I physically logged in this world at Guangxi, an autonomous region full of spectacular mountain scenery in southern China, and spent the whole childhood there until high school. I left hometown for undergraduate education at Tsinghua University, Beijing in 2004, where I received my bachelor's degree from Department of Automation, School of Information Science and Technology, at the end of the marvelous college life in 2008. Shortly after that, I travelled across the Pacific Ocean to the United States of America, in pursuit of graduate study at the gorgeous city of San Diego. After years of sun-and-beach obsession, I obtained my Ph.D. degree from UC San Diego, under the supervision of Professor Nuno Vasconcelos at Statistical Visual Computing Lab in the Department of Electrical and Computer Engineering. During this quest, I was very fortunate to be guided, get enlightened and collaborate with many visionary minds with inspiration and insights from both academia and industry, and felt deeply honored to have received various forms of recognition and supports from multiple sources. In the next chapter of the odyssey, I set off on a new journey onboard the artificial intelligence program of Facebook as a research scientist, looking forward to making impacts to billions of people worldwide via the cybernetic connections.

Education

	Tsinghua University B.E. in Automatic Control with honors	2008 Beijing, China
	Admitted via Chinese Science Olympiads with the National College Entrance Exam waived
	University of California, San Diego M.Sc. in Electrical Engineering	2011 La Jolla, CA, United States
	Thesis: Anomaly Detection and Localization in Crowded Scenes
	University of California, San Diego Ph.D. in Electrical Engineering	2016 La Jolla, CA, United States
	Dissertation: Visual Understanding of Complex Human Behavior via Attribute Dynamics

Research

My research interest and curiosity mainly reside in computational vision and machine learning, which aim to answer two fundamental questions in the vision science via the computating machinery: what are the principled ways to represent the huge variability of visual phenomena around us; and how to recover the latent governing factors, their relationships, and the associated structures underneath that produce such a magnificent visual world. Specifically, I have been focusing on statistical treatments for (1) discriminative and generative models with latent variables (e.g., dynamical systems, recurrent architectures); (2) sequential signal modeling and prediction; and (3) human behavior, activity and event analysis in video. Most of these research works have been documented in the format of peer-reviewed academic publications. Most of my research works at graduate school were supported by grants from the National Foundation of Science (NSF) .

Publications

My online publication profile can be found at Google Scholar, Research Gate, DBLP, or Semantic Scholar. (Note: given the overwhelming ambiguity of Chinese names when romanized, I may show up as "Wei-Xin LI", i.e., with surname all capitalized and given name hyphenated, in publications for better identifiability.)

	Complex Activity Recognition via Attribute Dynamics Wei-Xin LI and Nuno Vasconcelos International Journal of Computer Vision (IJCV) Vol. 122 (2), pp. 334-370, April 2017 [ project | preprint (pdf) | DOI | BibTeX ]
	VLAD3: Encoding Dynamics of Deep Features for Action Recognition Yingwei Li, Wei-Xin LI, Vijay Mahadevan and Nuno Vasconcelos Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) Las Vegas, Nevada, United States, 2016 [ project | pdf | DOI | BibTeX ]
	Multiple Instance Learning for Soft Bags via Top Instances Wei-Xin LI and Nuno Vasconcelos Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) Boston, Massachusetts, United States, 2015 [ project | pdf | DOI | BibTeX ]
	Anomaly Detection and Localization in Crowded Scenes Wei-Xin LI, Vijay Mahadevan and Nuno Vasconcelos IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Vol. 36 (1), pp. 18-32, January 2014 [ project | dataset | pdf | DOI | appendix ( pdf ) | BibTeX ]
	Dynamic Pooling for Complex Event Recognition Wei-Xin LI, Qian Yu, Ajay Divakaran and Nuno Vasconcelos Proc. of IEEE International Conf. on Computer Vision (ICCV) Sydney, New South Wales, Australia, 2013 [ project | pdf | DOI | BibTeX ]
	Recognizing Activities via Bag of Words for Attribute Dynamics Wei-Xin LI, Qian Yu, Harpreet Sawhney and Nuno Vasconcelos Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) Portland, Oregon, United States, 2013 [ project | pdf | DOI | BibTeX ]
	Recognizing Activities by Attribute Dynamics Wei-Xin LI and Nuno Vasconcelos Advances in Neural Information Processing Systems (NIPS) Lake Tahoe, Nevada, United States, 2012 [ project | pdf | BibTeX ]
	Anomaly Detection in Crowded Scenes (oral presentation) Vijay Mahadevan, Wei-Xin LI, Viral Bhalodia and Nuno Vasconcelos Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) San Francisco, California, United States, 2010 [ project | dataset | pdf | DOI | BibTeX ]

Professional Experience

	Facebook Research Scientist	Menlo Park, CA United States 2016 - present
	Statistical Visual Computing Lab UC San Diego Graduate Research/Teaching Assistant	La Jolla, CA United States 2009 - 2016
	Google Research Research Intern	New York City United States 2013
	SRI International Research Intern	Princeton, NJ United States 2012
	Microsoft Research Asia (MSRA) Research Intern	Beijing China 2008
	Institute of Image and Graphics Tsinghua University Undergraduate Research Assistant	Beijing China 2008

Major Awards and Honors

	Chinese Government Award for Outstanding Students Abroad	2013
	by Chinese Scholarship Council
	Graduate Fellowship	2008
	by UC San Diego
	Outstanding College Graduate	2008
	by Tsinghua University & Beijing
	National Scholarship	2007
	by Ministry of Education of China
	Siemens Scholarship	2006
	by Siemens AG
	HSBC Scholarship	2005
	by Hongkong Bank Foundation of HSBC