Mingming Gong


News Page


  • 12/2019, we are organizing the Weakly-supervised and Unsupervised Learning Workshop at the upcoming SIAM International Conference on Data Mining (SDM20). Welcome to join us!

  • 12/2019, I gave a talk on deep generative models and transfer learning at Institute of Computing Technology, Chinese Academy of Science, Beijing, China.

  • 12/2019, I gave a talk on causal discovery and transfer learning at Beijing International Center for Mathematical Research, Peking University, Beijing, China.

  • 12/2019, I gave a tutorial on causal learning in AI2019 and AusDM2019 held in Adelaide, Australia.

  • 11/2019, I gave a talk on causal learning in the Causal Modeling and Machine Learning workshop held in Guangzhou, China.

  • 11/2019, three papers accepted to AAAI2020.

  • 10/2019, I accepted the invitation to serve as a Senior PC for IJCAI 2020.

  • 09/2019, three papers (two spotlights) accepted to NeurIPS19.

  • 06/2019, I accepted the invitation to serve as a Senior PC for AAAI 2020.

  • 04/2019, our paper on causal discovery and forecasting in nonstationary environments has been accepted to ICML19.

  • 03/2019, I will join School of Mathematics and Statistics, The University of Melbourne, as a lecturer (assistant professor) on July 1st.

  • 02/2019, two papers (1 best paper finalist) accepted to CVPR19. Congrats to Huan Fu and Shanshan Zhao.

  • 02/2019, two papers accepted to AISTATS19. Congrats to Petar Stojanov.

  • 09/2018, our paper on modeling dynamic missingness in recommender systems has been accepted to NeurIPS18. Congrats to Menghan Wang.

  • 07/2018, three papers (1 oral) accepted to ECCV18. Congrats to Ya Li, Baosheng Yu, and Xiyu Yu.

  • 06/2018, our team won the 1st prize in single image depth prediction competition in Robust Vision Challenge 2018. Congrats to Huan Fu.

  • 06/2018, our paper on disease severity prediction has been accepted to MICCAI18. Congrats to Sumedha Singla.

  • 06/2018, our paper on causal discovery under measurement noise has been accepted to UAI18 as plenary presentation.

  • 02/2018, two papers have been accepted to CVPR18. Congrats to Huan Fu and Xiyu Yu.

  • 11/2017, our paper on domain generalization has been accepted to AAAI18 as oral presentation. Congrats to Ya Li.

  • 10/2017, our paper on pose estimation has been accepted to ICCV17 as spotlight presentation.

  • 06/2017, our paper entitled Causal Discovery from Temporally Aggregated Time Series has been accepted to UAI17.

  • 04/2017, I start working at University of Pittsburgh and Carnegie Mellon University as a postdoctoral research fellow.

  • 04/2016, our paper entitled Domain Adaptation with Conditional Transferable Components has been accepted to ICML16.