Tianshi Gao
Research Scientist
Facebook
Bio
I'm a research scientist at Facebook working on practical large-scale machine learning systems. I graduated from Stanford University with a Ph.D. in Electrical Engineering in 2012. Before that, I obtained my bachelor's degree in EE with honors from Tsinghua University in 2007.
My Ph.D. advisor at Stanford is Professor Daphne Koller who has co-founded Coursera .
Publications
What Makes a Good Detector? -- Structured Priors for Learning From Few Examples
Tianshi Gao, Michael Stark and Daphne Koller
In Proceedings of European Conference on Computer Vision (ECCV), 2012.
[pdf | bibtex]
Active Classification Based on Value of Classifier
Tianshi Gao and Daphne Koller
In Advances in Neural Information Processing Systems (NIPS), 2011. (Spotlight presentation)
[pdf | bibtex]
Discriminative Learning of Relaxed Hierarchy for Large-scale Visual Recognition
Tianshi Gao and Daphne Koller
In IEEE International Conference on Computer Vision (ICCV), 2011. (Oral presentation)
Also presented at First Workshop on Fine-Grained Visual Categorization in conjunction with CVPR 2011 .
(Best Poster Runner-up Award)
[pdf | supplementary material | bibtex | code (v0.1)]
Multiclass Boosting with Hinge Loss based on Output Coding
Tianshi Gao and Daphne Koller
In Proceedings of the International Conference on Machine Learning (ICML), 2011.
[pdf | bibtex]
A Segmentation-aware Object Detection Model with Occlusion Handling
Tianshi Gao, Benjamin Packer and Daphne Koller
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
[pdf | supplementary material | bibtex]
Region-based Segmentation and Object Detection
Stephen Gould, Tianshi Gao and Daphne Koller
In Advances in Neural Information Processing Systems (NIPS), 2009. (Spotlight presentation)
[pdf | bibtex]
User-centric Speaker Report: Ranking-based Effectiveness Evaluation and Feedback
Tianshi Gao, Chen Wu and Hamid Aghajan
IEEE International Conference on Computer Vision (ICCV) Workshop on Tracking Humans for the Evaluation of Their Motion in Image Sequences , 2009.
[pdf]
Self Lane Assignment Using Egocentric Smart Mobile Camera For Intelligent GPS Navigation
Tianshi Gao and Hamid Aghajan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Egocentric Vision , 2009.
[pdf]
Smart Node: Intelligent Traffic Interpretation
Nan Hu, Hamid Aghajan, Tianshi Gao, Jaime Camhi, Chu Hee Lee and Daniel Rosario
World Congress on Intelligent Transport Systems , 2008.
Load-Balanced Cluster-Based Cooperative MIMO Transmission for Wireless Sensor Networks
Tianshi Gao, Lin Zhang, Yi Gai and Xiuming Shan
In IEEE International Symposium on Wireless Communication Systems (ISWCS) , 2007.
[pdf]
Patent
US20120054194, CN102414683A, WO2010129630, Storing and Searching Fingerprints Derived From Media Content Based On a classification of the Media Content,
with Regunathan Radhakrishnan, Wenyu Jiang and Claus Bauer in the research department of Dolby Laboratories.
US20120078894, CN102460470A, WO2010144671A2, Trend Analysis In Content Identification Based On Fingerprinting,
with Wenyu Jiang in the research department of Dolby Laboratories.
Professional Service
Reviewer, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Pattern Recognition Letters, Machine Learning Journal, Transactions on Image Processing, Neural Information Processing Systems, European Conference on Computer Vision, IEEE Conference on Computer Vision and Pattern Recognition, ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Organizer, Neural Information Processing Systems Workshop on Probabilistic Models for Big Data, 2013
Teaching
Teaching Assistant, CS228: Structured Probabilistic Models: Principles and Techniques, Winter 2009 and Winter 2010.
Teaching Assistant, CS294A: Projects in Holistic Scene Understanding, Autumn 2009 and Autumn 2010.
Contact
Address:
1601 Willow Road
Menlo Park, CA 94025
Email: