I am a researcher at the Machine Intelligence and Perception group at Microsoft Research Cambridge. Before joining Microsoft Research, I was at Disney Research Pittsburgh located at Carnegie Mellon University. I have received my PhD from the Department of Robotics, Perception and Learning (RPL/ former CVAP), KTH Royal Institute of Technology. My general interests are Machine Learning and Computer Vision. I am currently working on Representation Learning and Approximate Inference.
I like to work with motivated students. Please contact me if you want to collaborate. We have internship positions open every year.
Apr 2019: Our paper EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE has been accepted to ICML 2019. I am also going to give an invited talk at Negative dependence in ML workshop at ICML.
Nov 2018: Our paper Advances in Variational Inference, has been accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence. Also, one paper accepted for AAAI, one for WACV, one for AISTATS 2019.
Sep 2018: I co-organize symposium on Advances in Approximate Bayesian Inference. Welcome to submit papers and attend the symposium
Aug 2018. One paper accepted for CoNLL and one paper accepted for ICTAI.
Aug 2018: I review for ICRA, CVPR, ICLR, ICML, NIPS, ECCV 2018, AAAI 2019
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.
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.