- (Feb 2026) 3 papers are accepted to CVPR 2026: "On Token's Dilemma" - Continual learning Dynamic MoE for MLLM w/ token level filtering; VideoGen w/ multi-obj motion control; Anomaly detection w/ local-feature Codebook. Congratulations to Chongyang, Yuze, and Xueyang!
- (Jan 2026) 2 papers (causality on LLM and Multimodal model) are accepted to ICLR 2026; 1 paper (identifiable latent causal models) is accepted to JMLR. Congratulations to Yuhang and all collaborators!
- (Nov 2025) 1 papers (testing LLM's logic reasoning with logic programming oracles, led by Yuekang) accepted to appear at AAAI 2026.
- (Nov 2025) I received Early Career Academics (ECA) Academic Excellence Award (Research) from UNSW Engineering ECAN.
- (Nov 2025) I will serve as an Area Chair for ICML 2026.
- (Oct 2025) We received an ARC Discovery Project (DP) grant (A$616,712) on enhancing Autonomy of Continual Learning, led by myself (Dong) with Anton and Lina. Hiring Postdoc and PhD!
- (Oct 2025) Our workshop Visual Generative Models: Past, Present, and Future will be held 2nd Dec 2025 in Adelaide.
- (Sep 2025) 2 papers (continual learning w/ model inversion, efficient and scalable motion generation) accepted to appear at NeurIPS 2025. Congrats to Ruilin and Zeyu!
- (Sep 2025) I am awarded NVIDIA Academic Grant Program award to support our research on dynamic Mixture-of-Expert (MoE) and continual learning.
- (Aug 2025) I accept to serve as Area Chair for CVPR 2026 and ICLR 2026.
- (Jun 2025) 1 paper (on test-time adaptation) is accepted at ICCV; 1 paper has been accepted at IJCAI; I will serve as Area Chair for WACV 2026.
- (Apr 2025) I will serve as Area Chair for NeurIPS 2025.
- (Feb 2025) I will serve as Area Chair for ACM MM 2025.
- (Feb 2025) 3 papers (self-expansion of modularized models for continual learning, test-time alignment for T2I-Gen, and continual test-time adaptation) accepted to appear at CVPR 2025. Congrats to Huiyi, Xin, and co-authors!
- (Jan 2025) 3 papers (coreset selection for continual learning, continual learning for diffusion model personalization, and DAG learning) accepted to appear at ICLR 2025. Congrats to Ruilin, Saurav, and co-authors!
- (Dec 2024) I will serve as an Area Chair for ICCV 2025.
- (Nov 2024) I will serve as an Area Chair for ICML 2025.
- (Nov 2024) Congratulations to my student Haodong Lu for being awarded Google PhD Fellowship!
- (Oct 2024) I am awarded as ACM MM 2024 Outstanding Area Chair.
- (Sep 2024) Our CLAP4CLIP paper (continual learning with probabilistic fine-tuning of CLIP) is accepted to appear at NeurIPS 2024. Congrats to Saurav.
- (Sep 2024) Will be serving as Area Chair for CVPR 2025.
- (Jul 2024) 1 paper (on image generation) accepted to appear at ACM MM 2024.
- (Jun 2024) 1 paper (on 360°Camera depth est.) accepted to appear at IROS 2024.
- (Jun 2024) Serving as Area Chair for ACM MM 2024.
- (May 2024) I am serving as organizing committee member for AJCAI 2024 (call for paper).
- (Jan 2024) 2 papers (on OOD detection and causal representation learning) accepted to appear at ICLR 2024. Congrats to Haodong and Yuhang.
- (Sep 2023) 2 papers (both on Continual Learning) accepted to appear at NeurIPS 2023. Congrats to Saurav and Mark.
- (May 2023) I am serving as the Tutorial Chair for AJCAI 2023.
- (Feb 2023) 1 paper (about multi-frame depth estimation) accepted to appear at CVPR 2023
- (Feb 2023) 1 paper (image deblurring with Transformer) accepted to appear in TIP
- (Jan 2023) 1 paper accepted to appear at ICLR 2023. Congrats to collaborators.
- (Sep 2022) I am awarded ARC Discovery Early Career Researcher Award (DECRA) starting in 2023 to study Continual Learning.
- (Sep 2022) 1 paper (about DAG learning) accepted to appear at NeurIPS 2022
- (Mar 2022) 1 paper (Continual Learning with Sparse Neural Networks) accepted to appear at CVPR 2022
- (Jan 2022) Check the article summarizing part of our works using ML to help agriculture innovation.
- (Sep 2021) 1 paper (about HDR imaging) accepted to appear in IJCV.
- (Jul 2021) 1 paper (Memory-augmented Neural Relational Inference) accepted to appear at ICCV 2021
- (Jul 2021) I will be a co-lecturer on Introduction to Statistical Machine Learning at UoA this semester, and give guest lectures at Deep Learning Fundamentals.
- (Dec 2020) 1 paper (unpaired domain-adaptive learning for realistic SR) accepted to appear in TIP
- (Oct 2020) 1 paper (learning attention model for vehicle retrieval) accepted to appear in TITS
- (Sep 2020) I am giving lectures at UoA Deep Learning Fundamentals on RNN, Attention, & Memory Networks.
- (Jul 2020) 1 paper (memory network for 3D point cloud with long-tail dist.) accepted to appear at ECCV 2020
- (Jan 2020) 1 paper (on learning to optimize for image deconv.) accepted to appear in TNNLS
- (Jul 2019) 1 paper (MemAE) accepted to appear at ICCV 2019
- (Jul 2019) 1 paper (about Sparse PCA) accepted to appear in TKDE
- (Jun 2019) 2nd Prize of OZ Minerals Explorer Challenge as part of DeepSightX team
- (Mar 2019) 1 paper accepted to appear in TKDE
- (Feb 2019) 4 papers accepted to appear at CVPR 2019
- (Nov 2018) 1 paper (on Blind Image Quality Assessment) accepted to appear in TIP
- (Oct 2018) 1 paper (about MRF based Compressive Sensing) accepted to appear in TIP
- (Sep 2018) 1 paper (MPTV) accepted to appear in TIP
- (Jul 2018) 2 papers accepted to appear at ECCV 2018
- (Oct 2017) Participated in ICCV 2017 Doctoral Consortium with a travel award
- (Jul 2017) 1 paper accepted to appear at ICCV 2017
- 1 paper accepted to appear at CVPR 2017
- 1 paper accepted to appear at AAAI 2017 as an oral
- 1 new arXiv paper on deep learning for motion estimation and blur removal