Education

Selected Awards

IBM Ph.D. Fellowship, 2018

Best student paper runner-up, International Joint Conference on Artificial Intelligence (IJCAI), 2017

First Places, Track 1 and Track 2 of KDD Cup 2013

First Places, Track 1 and Track 2 of KDD Cup 2011

Publications (* denotes equal contribution)

• Learning Generative Models using Transformations
  Chun-Liang Li
  PhD Thesis, Carnegie Mellon University, 2019
• LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds
  Chun-Liang Li, Tomas Simon, Jason Saragih, Barnabás Póczos and Yaser Sheikh
  In Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2019 [video]
• Implicit Kernel Learning
  Chun-Liang Li, Wei-Chen Chang, Youssef Mroueh, Yiming Yang and Barnabás Póczos
  In Proceedings of the International Conference on Artificial Intelligence and Statistic (AISTATS), 2019
• Kernel Change-Point Detection with Auxiliary Deep Generative Models
  Wei-Chen Chang, Chun-Liang Li, Yiming Yang and Barnabás Póczos
  In Proceedings of the International Conference on Learning Representations (ICLR), 2019 [code]
• Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer
  Hsueh-Ti Liu, Michael Tao, Chun-Liang Li, Derek Nowrouzezahrai and Alec Jacobson
  In Proceedings of the International Conference on Learning Representations (ICLR), 2019
• Point Cloud GAN
  Chun-Liang Li, Manzil Zaheer, Yang Zhang, Barnabás Póczos and Ruslan Salakhutdinov
  In ICLR Workshop on Deep Generative Models for Highly Structured Data, 2019 [code]
• Nonparametric Density Estimation with Adversarial Losses
  Shashank Singh, Ananya Uppal, Boyue Li, Chun-Liang Li, Manzil Zaheer and Barnabás Póczos
  In Advances in Neural Information Processing Systems (NIPS), 2018
• Classifier Two-Sample Test for Video Anomaly Detections
  Yusha Liu*, Chun-Liang Li*, and Barnabás Póczos
  In Processings of the British Machine Vision Conference (BMVC), 2018 [code]
• Sobolev GAN
  Youssef Mroueh, Chun-Liang Li*, Tom Sercu*, Anant Raj*, and Yu Cheng
  In International Conference on Learning Representations (ICLR), 2018 [code]
• CMU DeepLens: Deep Learning For Automatic Image-based Galaxy-Galaxy Strong Lens Finding
  Francois Lanusse, Quanbin Ma, Nan Li, Thomas E. Collett, Chun-Liang Li, Siamak Ravanbakhsh, Rachel Mandelbaum and Barnabás Póczos
  In Monthly Notices of the Royal Astronomical Society (MNRAS), 2018. [code]
• MMD GAN: Towards Deeper Understanding of Moment Matching Network
  Chun-Liang Li*, Wei-Chen Chang*, Yu Cheng, Yiming Yang and Barnabás Póczos
  In Advances in Neural Information Processing Systems (NIPS), 2017 [code]
• GAN Connoisseur: Can GANs Learn Simple 1D Parametric Distributions?
  Manzil Zaheer*, Chun-Liang Li*, Barnabás Póczos and Ruslan Salakhutdinov
  In NIPS Workshop on Deep Learning: Bridging Theory and Practice, 2017
• One Network to Solve Them All — Solving Linear Inverse Problems using Deep Projection Models
  J. H. Rick Chang, Chun-Liang Li, Barnabás Póczos, B. V. K. Vijaya Kumar and Aswin C. Sankaranarayanan
  In Proceedings of the International Conference on Computer Vision (ICCV), 2017 (Oral) [code]
• Data-driven Random Fourier Feature using Stein Effect
  Wei-Chen Chang, Chun-Liang Li, Yiming Yang and Barnabás Póczos
  In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2017
  (Best student paper runner-up)
• Polynomial Optimization Methods for Matrix Factorization
  Po-Wei Wang, Chun-Liang Li, and J. Zico Kolter
  In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2017
• Utilize Old Coordinates: Faster Doubly Stochastic Gradients for Kernel Methods
  Chun-Liang Li and Barnabás Póczos
  In Proceedings of the Uncertainty in Artificial Intelligence (UAI), 2016
• High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models
  Chun-Liang Li, Kirthevasan Kandasamy, Barnabás Póczos and Jeff Schneider
  In Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), 2016
• Rivalry of Two Families of Algorithms for Memory-Restricted Streaming PCA
  Chun-Liang Li, Hsuan-Tien Lin and Chi-Jen Lu
  In Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), 2016
• Active Learning with Hint Information
  Chun-Liang Li, Chun-Sung Ferng, and Hsuan-Tien Lin
  In Neural Computation, 2015
• Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013
  C.-L. Li, Y.-C. Su, T.-W. Lin, C.-H. Tsai, W.-C. Chang, K.-H. Huang, T.-M. Kuo, S.-W. Lin, Y.-S. Lin, Y.-C. Lu, C.-P. Yang, C.-X. Chang, W.-S. Chin, Y.-C. Juan, H.-Y. Tung, J.-P. Wang, C.-K. Wei, F. Wu, T.-C. Yin, T. Yu, Y. Zhuang, S.-D. Lin, H.-T. Lin and C.-J. Lin
  In Journal of Machine Learning Research, 2015 (Extended first-place winner report of KDD Cup 2013 track 1)
• Effective String Processing and Matching for Author Disambiguation
  W.-S. Chin, Y.-C. Juan, Y. Zhuang, F. Wu, H.-Y. Tung, T. Yu, J.-P. Wang, C.-X. Chang, C.-P. Yang, W.-C. Chang, K.-H. Huang, T.-M. Kuo, S.-W. Lin, Y.-S. Lin, Y.-C. Lu, Y.-C. Su, C.-K. Wei, T.-C. Yin, C.-L. Li, T.-W. Lin, C.-H. Tsai, S.-D. Lin, H.-T. Lin and C.-J. Lin
  In Journal of Machine Learning Research, 2014 (Extended first-place winner report of KDD Cup 2013 track 2)
• POSTER: Scanning-free Personalized Malware Warning System by Learning Implicit Feedback from Detection Logs
  Jyun-Yu Jiang, Chun-Liang Li, Chun-Pai Yang and Chung-Tsai Su
  In Proceedings of the ACM Conference on Computer and Communications Security (CCS), 2014
• Condensed Filter Tree for Cost-Sensitive Multi-Label Classification
  Chun-Liang Li and Hsuan-Tien Lin
  In Proceedings of the International Conference on Machine Learning (ICML), 2014 [slide]
• Active Learning with Hinted Support Vector Machine
  Chun-Liang Li, Chun-Sung Ferng, and Hsuan-Tien Lin
  In Proceedings of the Asian Conference on Machine Learning (ACML), 2012 [slide]
• A Linear Ensemble of Individual and Blended Models for Music Rating Prediction
  P.-L. Chen, C.-T. Tsai, Y.-N. Chen, K.-C. Chou, C.-L. Li, C.-H. Tsai, K.-W. Wu, Y.-C. Chou, C.-Y. Li, W.-S. Lin, S.-H. Yu, R.-B. Chiu, C.-Y. Lin, C.-C. Wang, P.-W. Wang, W.-L. Su, C.-H. Wu, T.-T. Kuo, T. G. McKenzie, Y.-H. Chang, C.-S. Ferng, C.-M. Ni, H.-T. Lin, C.-J. Lin and S.-D. Lin
  In Proceedings of the KDD Cup 2011 Workshop, 2012
• Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation
  T. G. McKenzie, C.-S. Ferng, Y.-N. Chen, C.-L. Li, C.-H. Tsai, K.-W. Wu, Y.-H. Chang, C.-Y. Li, W.-S. Lin, S.-H. Yu, C.-Y. Lin, P.-W. Wang, C.-M. Ni, W.-L. Su, T.-T. Kuo, C.-T. Tsai, P.-L. Chen, R.-B. Chiu, K.-C. Chou, Y.-C. Chou, C.-C. Wang, C.-H. Wu, H.-T. Lin, C.-J. Lin and S.-D. Lin
  In Proceedings of the KDD Cup 2011 Workshop, 2012