Peng Wang
Peng is a professor with School of Computer Science and Engineering at the University of Electronic Science and Technology of China (UESTC). From July 2019 to April 2023, he was a lecturer (assistant professor) with School of Computing and Information Technology at University of Wollongong. Prior to joinging UOW, he was a research fellow with Auatralian Institute for Machine Learning (AIML), The University of Adelaide. He obtained his PhD from School of Information Technology and Electrical Engineering, The University of Queensland.
His research interests lie broadly in computer vision and machine learning. His current research focuses on learning in realistic scenarios, including but not limited to long-tail learning, open-ended learning, and learning with limited human annotation.
Email: wangpeng8619 AT gmail.com
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I am always looking for strong and highly motivated Master's and PhD students. I also supervise undergraduate research projects. If you are interested in joining my research group, please reach out to me via email.
News
- (09/2024) Two papers on PEFT and Cross-domain Few-Shot Learning accepted by NeurIPS 2024.
- (09/2024) Paper on Fine-grained Referring Expression Reasoning accepted by EMNLP 2024.
- (09/2024) Paper on Offline Reinforcement Learning accepted by CoRL 2024.
- (07/2024) Two ACM MM papers and two ECCV papers accepted.
- (03/2024) Paper on Parameter-effcient Pre-trained Model Fine-tuning is accepted by CVPR 2024.
- (01/2024) One paper on Self-Supervised Node Representation Learning is accepted by TPAMI 2024.
- (09/2023) One paper on Parameter-effcient Pre-trained Model Fine-tuning is accepted by NeurIPS 2023.
- (07/2023) One paper on Simplicity Bias inspired Deep Hashing is accepted by TPAMI.
- (04/2023) Appointed as Area Chair for ACM Multimedia 2023.
- (03/2023) Two papers on "cross-domain few-shot learning" and "open-set few-shot learning" accepted by CVPR 2023.
- (02/2023) Check our paper on self-supervised node representation learning in graphs.
- (02/2023) Check our paper which appraoches long-tailed image classification from the angle of simplicity bias.
- (03/2022) Paper on "self-supervised graph representation learning" is accepted by CVPR 2022.
- (12/2021) Discovery Project "Making Meta-learning Generalised" is funded by Australian Research Council.
- (12/2021) MS Incubator Grant "AI for Dietary Advice" is funded. Check here!
- (05/2021) One paper on "dynamic convolution for semantic scene completion" accepted by TPAMI 2021.
- (03/2021) We will organize an IJCAI 2021 workshop on Long-tailed Distribution Learning.
- (03/2021) Paper on "contrastive learning based long-tailed classification" accepted by CVPR 2021.
- (02/2021) One paper on "multi-label classification" accepted by TPAMI 2021.
- (02/2021) Appointed as Workshop co-chair for ACM Multimedia 2021 and Tutorial co-chair for ACCV 2022.
- (02/2021) One paper on "scene graph generation" accepted by Transactions on Cybernetics 2021.
- (07/2020) Honoured to be recognized by ECCV 2020 as a top reviewer and receive a free delegate registration.
- (07/2020) One paper on "Semi-supervised counting" accepted by ECCV 2020.
- (03/2020) One PhD Scholarship is available. Feel free to drop me an email if you are interested.
- (03/2020) One paper on "Zero-shot learning" is accepted by TCSVT.
- (02/2020) Two papers on "compositional Referring Expression" and "3D scene completion" accepted by CVPR 2020
- (11/2019) Two papers on "abstract reasoning" and "image super resolution" accepted by AAAI 2020
- (08/2019) One paper on "light-weight deep network for Super Resolution" accepted by IJCV 2019
- (08/2019) My homepage is launched, please stay tuned!