Research Topics

We are currently working on various topics in machine/deep learning, including but not limited to the followings. A common feature among them is toward developing generic learning and inference algorithms having data/computation efficiency and broad usages, e.g., in computer vision and natural language processing.

Machine/Deep Learning (current)

• vision-language models (NeurIPS2023a, CVPR2023c, CVPR2023e, NeurIPS2023e, NeurIPS2023h, ICLR2024a, CVPR2024b, ICLR2024b, ICLR2024c, NeurIPS2024d)

• variational approximate inference for graphical models (AISTATS2018, ICML2018, ICML2019b)

• uncertainty/novelty estimation (ICML2017b, CVPR2018, ICLR2018, NeurIPS2018b, ICML2019e, CVPR2020a, ICLR2020b, NeurIPS2020c, AAAI2021a, ECCV2022b, CVPR2023d, CVPR2023e, ICLR2023e, ICLR2023f, ICLR2024c, ICLR2024d)

• spatial-temporal models (ECCV2022a, ICLR2022a, ICML2022a, CVPR2023a, ICLR2024a, NeurIPS2024f)

• semi-supervised learning (NeurIPS2020h, ICLR2022b, NeurIPS2023a, ICLR2023e)

• self-supervised and contrastive learning (NeurIPS2020c, ICML2020d, NeurIPS2020g, NeurIPS2020j, ICCV2021, IJCAI2021, ICLR2021e, NeurIPS2021f, NeurIPS2021g, CVPR2022a, ICML2022a, CVPR2022b, ECCV2022b, CVPR2022c, ICML2022c, NeurIPS2022d, ICML2023b, CVPR2023c, ICLR2023c, ICLR2023d, NeurIPS2023d, ICLR2023f, NeurIPS2023g, ICML2024a)

• safe artificial intelligence (EMNLP2024, ECCV2024a)

• reinforcement learning (ICLR2020b, ICML2020b, ICML2020c, NeurIPS2020d, NeurIPS2020f, CoRL2021, ICML2021a, ICML2021b, NeurIPS2021c, ICLR2021d, NeurIPS2021d, CoRL2022, ICLR2022b, ICML2022b, ICLR2022c, ICML2022d, ICLR2023a, ICLR2023b, ICML2023b, NeurIPS2023b, NeurIPS2023e)

• rapid mixing markov chain monte carlo (SIGMETRICS2010a, AISTATS2017)

• physics-informed machine learning (NeurIPS2020b)

• neural fields (NeurIPS2021a, ICLR2022a, NeurIPS2022b, ICML2023a, NeurIPS2023c, ICLR2024b)

• meta learning (SenSys2019, ICML2019d, ICML2020d, NeurIPS2020g, NeurIPS2021a, NeurIPS2022c, ICML2023a, ICLR2023c, NeurIPS2023c, ICLR2023d, NeurIPS2023g, NeurIPS2024a, ICML2024c)

• machine learning for drug discovery (NeurIPS2020d, IJCAI2021, AAAI2021b, ICML2021b, ICASSP2023, ICML2024b, NeurIPS2024e)

• machine learning for computing and networked systems (OSDI2018, SIGMETRICS2018, SenSys2019, NSDI2021)

• light-weight neural architectures (ICML2019a, ICLR2020a, ICML2020e, NeurIPS2021a, ICLR2021c, ECCV2022a, CVPR2022b, ICML2023a, NeurIPS2023d, ICML2024c)

• learning theory (SIGMETRICS2018, NeurIPS2020a, COLT2021, ICLR2021a)

• large-scale spectral functions (ICML2015, SISC2017, ICML2017a, NeurIPS2018a, AISTATS2020, ICML2020a, NeurIPS2021e)

• large language models (COLM2024, EMNLP2024, NeurIPS2024a, NeurIPS2024b, NeurIPS2024c, ICLR2024e, ICLR2024f)

• generative adversarial networks (ICLR2018, ICLR2019, NeurIPS2019, ICLR2021b, ICLR2022a, CVPR2022c)

• fairness and bias in machine learning (CVPR2020b, NeurIPS2020h, NeurIPS2020i, ICLR2022e, TMLR2023, CVPR2023b, CVPR2024b)

• ensemble learning and mixture of experts (ICML2017b, NeurIPS2018c, ICML2020d, NeurIPS2020f)

• domain generalization and adaptation (NeurIPS2019, ICLR2020b, ICML2020b, NeurIPS2021b, CVPR2023d)

• diffusion models (CVPR2023a, NeurIPS2023f, NeurIPS2023h, NeurIPS2023i, ICLR2024a, ECCV2024b, ICLR2024b, TMLR2024b, ECCV2024c, ICLR2024c, NeurIPS2024d, NeurIPS2024e)

• data augmentation and synthesis (ICLR2019, CVPR2020b, NeurIPS2020c, ICML2020d, CVPR2021, ICLR2021b, AAAI2022b, ICLR2022b, ICLR2022d, CVPR2023b, ICML2023c)

• crowdsourcing and noisy labels (AISTATS2019, ICML2019c, ICML2023c)

• continual/transfer learning and knowledge distillation (NeurIPS2018b, CVPR2019, ICCV2019, ICML2019d, CVPR2020a, ICML2020d, ICCV2021, NeurIPS2022a, ICML2022d, NeurIPS2024a)

• combinatorial optimization (SIDMA2011, BigData2015, UAI2015, SIDMA2017, ICML2020c)

• ai-based plagiarism (NeurIPS2024c)

• adversarial robustness (NeurIPS2018b, ICML2019e, CVPR2020b, ICML2020e, NeurIPS2020e, NeurIPS2020j, ICML2021c, NeurIPS2021h, AAAI2022a, EMNLP2023, SaTML2023, AAAI2023b, CVPR2023d, NeurIPS2023f, ACCESS2024, ECCV2024b, TMLR2024b)

Applied Probability on Networks (past)

• communication networks (SIGMETRICS2009, TIT2010a, SIGMETRICS2010b, FOCS2011a, AAP2012, MOR2013, TIT2015, INFOCOM2016, TON2016a, TON2016b, MOR2017, TWC2018)

• social networks (SIGMETRICS2010a, INFOCOM2015, TON2016c, INFOCOM2017a, S&P2019)