I have a broad interest in both math and the scientific world, and I am open to new knowledge at all time. 

 

Currently, I am a PhD candidate at the University of Amsterdam, supervised by Prof. Max Welling. 

My undergraduate institute is Washington and Lee University , Lexington, VA, where I double-majored in Mathematics (with Honor) and Physics Engineering, minored in Computer Science. My honor thesis advisor was Professor Paul Bourdon, Math advisor Professor Greg Dresden, Physics Engineering advisor Professor Kenneth Van Ness, and Computer Science advisor Professor Kenneth Lambert. My undergraduate advisors, especially Professor Bourdon, have nourished me with the heart of humanity: compassion, caring and selflessness.  

My Masters degree was in Applied Mathematics from the University of Michigan.  You can find my C.V. here. 

Wenling Shang

E-mail: w.shang at uva dot nl

A Moment-based Approach for DVH-guided Radiotherapy Treatment Plan.  

M. Zarepisheh, M. Shakourifar, G. Trigila, P. Ghomi, S. Couzens, A. Abebe, L. Norena, W. Shang, S. Jiang and Y. Zinchenko. Physics in Medicine and Biology, 2013.

Normal Weighted Composition Operators on Weighted Dirichlet Spaces. 

L. Lu, Y. Nakada, D. Nestor, W. Shang and R. Weir. JMAA, 2014.
 

Improved Multimodal Deep Learning with Variation of Information. 

K. Sohn, W. Shang, H. Lee. NIPS, 2014.

Publications and Preprints

Reproducing Kernel Hilbert Spaces Supporting Nontrivial Hermitian Weighted Composition Operators. 

P. Bourdon and W. Shang. Complex Analysis and Operator Theory, 2011. 

Talks and Posters

Discriminative Training Of Structured Dictionaries Via Orthogonal Matching Pursuit. 

Women in Machine Learning Workshop, 2014.

The Weighted Composition Operators in Hilbert Spaces. (won the poster award)

the Joint Math Meetings Student Poster Session, 2011.

Discriminative Training of Structured Dictionaries via Block Orthogonal Matching Pursuit

W. Shang, K. Sohn, and H. Lee. Siam SDM, 2016.

On the Norm Preservation Properties of Convolutional Neural Networks. 

Women in Machine Learning Workshop, 2015.

Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units

W. Shang, K. Sohn, D. Almeida and H. Lee. ICML, 2016.

Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear Units

W. Shang, J. Chiu, and K. Sohn. AAAI, 2017.

ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games

Yuandong Tian, Qucheng Gong, W. Shang, Yuxin Wu and Larry Zitnick. NIPS, 2017.

Channel-Recurrent Autoencoding for Image Modeling

W. Shang, K. Sohn, Y. Tian. WACV, 2018.  [code and PDF]

Stochastic Activation Actor-Critic Methods. 

W. Shang,  H. van Hoof, M. Welling. ECML-PKDD 2019. [code and PDF]

selected as a contributive talk at UAI, Uncertainty in Deeplearning Workshop, 2018. 

Thesis Supervision

Convolutional Neural Networks for Crop Yield Prediction using Satellite Images. 

Helena Russello, Masters of AI, 2018. (co-advised with Dr. Santiago Gaitan, IBM)

An Empirical Comparison of Deep Conditional Generative Models with Applications to Attribute-Guided Face Synthesis. 

Kewin Dereniewicz, Masters of Data Science, 2018. (co-advised with Benjamin Timmermans, IBM)

Attentive Conditional Channel-Recurrent Autoencoding for Attribute Conditioned Face Synthesis

W. Shang, K. Sohn. WACV, 2019.  [code and PDF]

Unsupervised Domain Adaptation for Distance Metric Learning

K. Sohn. W. Shang, X. Yu, M. Chandraker. ICLR, 2019.  

Learning World Graphs for Accelerated Hierarchical Reinforcement Learning. 

W. Shang,  A.Trott*,  S. Zheng*,  C. Xiong, R. Socher. ICML Real-world Sequential Decision Making workshop, 2019. [project page]

Working Experiences

Data Software Engineering Intern. 
Chartboost, San Francisco, CA, Summer 2014. 

Research Intern. 

Technicolor Research, Los Altos, CA, Summer 2015. 

Volunteer Experiences

Reviewer. 
Neurips, ICML, CVPR, ICCV, UAI, AISTATS, AAAI, Neural Computation, Transactions on Computational Intelligence and AI in Games, Transactions on Neural Networks and Learning Systems .

 

 

Administrative Assistance.
The Beijing Organizing Committee for the Games of the XXIX Olympics.

Beijing, China, Summer 2008. 

 

 

Computer Vision Software Engineer. 

Oculus, Menlo Park, CA, Spring 2016-Fall 2017. 

Eco-Volunteer. 
ISV Thailand Project.

Elephant Nature Park,  Thailand, Summer 2011. 

 

Research Intern. 

Salesforce Research, Palo Alto, CA, Spring 2019.