I'm currently an applied scientist at Amazon A9. I recently graduated from University of California, Irvine with a PhD in computer science, focusing on the area of artificial intelligence and machine learning. My PhD advisor was Prof. Alexander Ihler. I also worked closely with Prof. Rina Dechter. The best way to reach me is via email.

I'm generally interested in artificial intelligence, machine learning, and computer vision. My thesis work focuses on developing approximate inference algorithms for probabilistic graphical models with strong anytime guarantees, which takes advantage of ideas and techniques from variational methods, heuristic search, and Monte Carlo sampling. I've also worked on (deep) multi-instance learning, video ads analysis, semantic segmentation, etc.

Qi Lou, Rina Dechter, Alexander Ihler
The 33rd AAAI Conference on Artificial Intelligence (AAAI-19).
Tiehang Duan, Qi Lou, Sargur Srihari, Xiaohui Xie
The 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-19).
Qi Lou, Somdeb Sarkhel, Saayan Mitra, Viswanathan Swaminathan
The 20th IEEE International Symposium on Multimedia (ISM-18). [short paper].
Qi Lou, Rina Dechter, Alexander Ihler
The 34th Conference on Uncertainty in Artificial Intelligence (UAI-18).
Qi Lou, Rina Dechter, Alexander Ihler
The 32nd AAAI Conference on Artificial Intelligence (AAAI-18).
Qi Lou, Rina Dechter, Alexander Ihler
The 31st Annual Conference on Neural Information Processing Systems (NIPS-17).
Qi Lou, Rina Dechter, Alexander Ihler
The 31st AAAI Conference on Artificial Intelligence (AAAI-17).
Wentao Zhu, Qi Lou, Yeeleng Scott Vang, Xiaohui Xie
The 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-17).
Qi Lou, Raviv Raich, Forrest Briggs, Xiaoli Fern
IEEE International Workshop on Machine Learning for Signal Processing, 2013.
Forrest Briggs, Xiaoli Fern, Raviv Raich, Qi Lou
ACM Transactions on Knowledge Discovery from Data, Vol. 7 Iss. 3, 2013.
Raviv Raich, Forrest Briggs, Qi Lou, Xiaoli Fern, David Mellinger
Proceedings of Meetings on Acoustics Vol. 19 Iss. 1, 2013.
Qi Lou, Ligang Liu
Computers & Graphics 36(5): 309-320 (2012). Oral presentation at Shape Modeling International 2012.

Research Intern at Adobe Research image
    Big Data Experience Lab, hosted by Dr. Somdeb Sarkhel, Dr. Saayan Mitra, and Dr. Vishy Swaminathan. 06/2017 ~ 09/2017.
Research Intern at Virginia Tech
    Machine Learning & Perception Group, hosted by Prof. Dhruv Batra. 08/2013 ~ 11/2013, 04/2014 ~ 08/2014.

Teaching assistant for
     CS 171 Intro to Artificial Intelligence
     CS 178 Machine Learning and Data Mining
     CS 179 Intro to Graphical Models