Probabilistic Graphical Model Group
Director
Current Research Staff
- Ehsan Abbasnejad on RL, causality, VQA, agtech and sport
- Dong (Edward) Gong (UNSW lecuturer, DECRA fellow) on continual learning, memory network, computer vision
- Zhen Zhang on Causation
- Yuhang Liu on Latent Causal Representation Learning
- Xinyu Li on ML driven new energy material discovery
- Amin Parvaneh on ML for Cave Mining, Active Learning and RL
- Mahdi Kazemi Moghaddam on RL, bushfire and health
- Jinan Zou on causal agtech, NLP, fintech
- Yongliang Qiao on causal offline RL, agtech, health
Engineering Staff
- Working on a number of projects in diverse industries ranging from agriculture, mining, sport, manufacturing, automated trades, computer vision, water utility, health, education and others.
Current PhD Students
- Haiyao Cao (Jan. 2022 - present, with Ehsan and Zhen) on Causality and RL on Financial Trading
- Bahram Mohammadi (Nov. 2021 -present, with Qi Wu) on Visual Navigation with Knowledge Reasoning
- Yuhao Lin (Sept 2021 - present, with Lingqiao and Ehsan) on Weakly Supervised Learning
- Mohamed Khalil Jabri (May 2021 - present, with Ehsan, Gilles Coppin, and Panagiotis Papadakis) on RL, Imitation Learning and Robotics
- Hongrong Cheng (April 2021 - present, with Lingqiao Liu and Miao Zhang) on Neural Architecture Search (NAS) and Pruning
Past Staff
- Mingkui Tan (postdoc, 2014-2016, now a full professor in South China University of Technology) on optimisation, deep learning and graphical models
- Qingsen Yan (postdoc, 2020-2022, now a full professor in Northwestern Polytechnical University) on continual learning, deep learning, computer vision, and crop breeding
- Xinyu Zhang (postdoc, 2020-2021, now Baidu) on person RE-ID and medical AI
Past Students
- Jinan Zou (Aug 2019 - Feb 2023, with Ehsan and Lingqiao Liu) on Natural Language Processing (NLP) and Fintech
- Xian Wang (July 2016 - Feb 2023, Part Time, with Lingqiao Liu and Anton Van Den Hengel) on Music Transcription
- Mahdi Kazemi Moghaddam (Aug 2019 - 2022, with Ehsan and Qi Wu) on Visual Navigation and model-based RL
- Amin Parvaneh (Oct 2018 - 2022, with Ehsan) on Active Learning, and Goal-Oriented Dialogue System and Robotic Agents
- Xiongren Chen (2019 - 2020) on Causality and Finance
- Alireza Abedin Varamin (2017 - 2020, co-supervision, with Damith Ranasinghe) on Deep Set Learning for Segmentation and Classification
- Jie Yang (2016 - 2020, with Lingqiao Liu) on Reflection Removal and Signal Separation
- Suwichaya Suwanwimolkul (Adelaide, April 2015 - Sept. 2018, with Damith Ranasinghe) on compressive sensing, graphical models, sensor networks and healthcare
- Chongyu Liu (Adelaide, April 2014 - Oct 2018, with Hamid Rezatofighi) on visual tracking with graphical models
- Lei Zhang (2015,2016, CSC visiting) on hyperspectral image processing with graphical models
- Dong (Edward) Gong (2015,2016, CSC visiting) on image debluring, optimsation, graphical models, and deep learning
- Zhen Zhang (2013,2014, CSC visiting) on dual message passing, m-best solutions, m-modes inference, higher-order potentials
- Rui Yao (2012, CSC visiting, now an Associate Professor) on visual tracking with structured data
- Zhenhua Wang (2011-2014, Adelaide, now an Associate Professor) on inference with unknown graph structures
Future Students
I am looking for motivated PhD students working in Probabilistic Graphical Models, Compressive Sensing, Deep Learning, or theoretical work on Learning Theory and Probability Bounds. If you are interested in working with me, please drop me an email at any time.
Full scholarships are available:
Scholarships for International students (IPRS deadline 31 Aug.)
Scholarships for Domestic students (APA deadline 31 Oct.)
CSC-UoA scholarship for students from mainland China (University deadline 31 Jan., CSC deadline 20 Mar.)
A full scholarship (3 years) from a research project is available too (apply through the University).
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