I am a postdoctoral research associate at Disney Research Pittsburgh located at Carnegie Mellon University. I have received my PhD under the supervision of Prof. Hedvig Kjellström from the Department of Robotics, Perception and Learning (RPL/ former CVAP), School of Computer Science and Communication, KTH Royal Institute of Technology.  Currently, I am still affiliated with RPL as a researcher. My general interests are Machine Learning and Computer Vision. I am currently working on Representation Learning and Approximate Inference.


17 Sep, 2017: Co-organizer, NIPS 2017 Workshop on Advances on Approximate Bayesian Inference

4  Sep, 2017: Our new paper “Perturbative Black Box Variational Inference” has got accepted in NIPS. See you in California.

12 June, 2017: Our new paper “Stochastic Learning on Imbalanced Data: Determinantal Point Processes for Mini-batch Diversification” has got accepted in UAI for a plenary talk. See you in Sydney.

2 May, 2017: I review for CVPR, ICML, ICCV, NIPS 2017

9 Jan, 2017: I joined Disney Research Pittsburgh (still part time affiliated with KTH).

30 Nov, 2016: I gave an invited lecture on Machine Learning in HiQ Stockholm today. I am very glad to see so many ppl that are interested.

3 Nov, 2016: I am invited to give a talk on Nov 9th, at IDA Machine Learning Seminars, Linköping University.

14 Oct, 2016: I was interviewed on ECCV Daily . Welcome to read it here. This article is also included the computer vision news November issue

26 Sep, 2016: I have passed my dissertation defense and received my Ph.D! Special thanks for my opponent Prof. Jordan Boyd-Graber;  my committee  members: Dr. Philipp Hennig, Dr. Silvia Chiappa and Prof. Mattias Villani; my chairman Prof. Petter Ögren and my supervisor Prof. Hedvig Kjellstrom.

11 July, 2016: Our paper “Inter-Battery Topic Representation Learning” got accepted in the European Conference on Computer Vision (ECCV) 2016. See you there.

17 June, 2016: Our paper “Diagnostic Prediction Using Discomfort Drawing with IBTM” got accepted in Machine Learning in Health Care Conference

23 May, 2016: I will present our work “Diagnostic Prediction Using Discomfort Drawing with Multimodal Topic Model” in UAI Machine Leaning for Health workshop. 

10 May, 2016: I review for ECCV 2016.

Jan 1, 2016: I received 1 200 000 SEK grant from Stiftelsen Promobilia for 2 years research on robust inference for computer vision tasks.

Nov 30, 2016: I had a Bay area trip during Nov 18th~ Nov 26th and visited multiple labs in Stanford University and University of California, Berkeley.

Nov 30, 2015: Joint project with MD.PhD Bo Christer Bertilson from KI on Patient-centred Decision Support has got Vinnova UDI step 1 support with 444 000 SEK. 

July 10, 2015: I received 150 000 SEK grant from Stiftelsen Promobilia for automatic object and scene understanding.

Oct 7, 2014: Our project EyeCam won KTH innovation compitition and got 25 000 SEK award. This project will be led by Me and Dr. Yasemin Bekiroglu.
Sep 27, 2014: I visited The University of Sheffield and The University of Manchester for a week. It was nice to meet Dr. James Hensman, Prof. Neil Lawrence and  Prof. Magnus Rattray.

Sep 19, 2014: Research intern in Infer.NET group in Microsoft Research Cambridge. (June 30th, 2014 ~ Sep 19th, 2014) Great time being hosted by John Bronskill, Yordan Zaykov andTom Minka.