Team

Current students   

• Jiawen Zhu (SMU), 08/2022 - , open-world learning, PhD (ICCVx1, CVPRx2;  SMU Presidential Doctoral Fellowship)

• Hezhe Qiao (SMU), 01/2023 - , graph representation learning, PhD (NeurIPSx2, ECMLPKDDx1; SMU Presidential Doctoral Fellowship)

• Mengjia Niu (SMU), 06/2024 - , hallucination mitigation, PhD - visiting

• Hui He (SMU), 11/2024 - , time series forecasting, PhD - visiting

• Guoguo Ai (SMU), 11/2024 - , graph representation learning, PhD - visiting

• Zhuohang Dang (SMU), 11/2024 - , out-of-distribution detection, PhD - visiting

• Chaoxi Niu (UTS), 09/2021 - , graph learning in open worlds, PhD (NeurIPSx1, ECMLPKDDx1, TNNLSx1, ECAIx1)

• Jiaxi Li (UTS), 12/2021 - , graph anomaly detection, part-time PhD (DSAAx1)

• Wenjun Miao (Beihang), 05/2022 - , OOD detection, PhD (NeurIPSx1, AAAIx1, CVPRx1)

• Yukun Li (NPU), 03/2023 - , continual learning, PhD

• Zihan Wang (Beihang), 09/2024 -, foundation model security, PhD

• Yutong Chen (UCAS), 09/2024 - , time series anomaly detection, PhD

• Guolei Zeng (FZU), 09/2024 - , graph anomaly detection, BSc

• Min Yang (SCU), 10/2024 - , learning from streaming network traffic data, PhD

Former students

• Hong Yin (Chongqing), 10/2023 - 09/2024 , knowledge graph mining, PhD - visiting

• Sinong Zhao (Nankai), 09/2023 - 09/2024, time series anomaly detection, PhD - visiting

• Yutong Chen (UCAS), 01/2022 - 08/2024, time series anomaly detection, MPhil (ECMLPKDDx1)

• Anindya Das (Umea), 11/2022 - 07/2024, visual anomaly detection, PhD (WACVx1)

• Qizhou Wang (Monash), 11/2021 - 06/2024,  graph anomaly detection, PhD (AAAIx1)

• Choubo Ding (Adelaide), 02/2020 - 06/2024,  anomaly & OOD detection, PhD (CVPRx2, ICCVx1, ACM Multimediax1, IJCNNx1)

• Rongrong Ma (UTS), 04/2020 - 06/2024, learning on graphs, PhD (WSDMx1, Neural Networksx1, IJCNNx1)

• Ruohuan Fang (Beihang), 05/2022 - 12/2023, open-world learning, MPhil (AAAIx1)

• Tianqi Li (Beihang), open-set recognition, MPhil, 05/2022 - 12/2023 (AAAIx1, PRx1, CVPRx1)

• Qihang Zhou (ZJU), zero-shot anomaly detection, PhD, 04/2023 - 10/2023 (ICLRx1)

• Haoning Wang (NPU), few-shot open-set recognition, MPhil, 02/2022 - 05/2023 (CVPRx1)

• Tung Nguyen (SMU), continual learning, MPhil - visiting, 02/2023 - 08/2023

• Tri Cao (SMU), anomaly detection under distribution shift, BEng - visiting, 09/2022 - 03/2023 (ICCVx1)

• Yu Tian (Adelaide), visual anomaly detection, PhD, 03/2020 - 12/2021 (ICCVx1, ECCVx1, AAAIx1, MICCAIx2, MedIAx1)

• Zhong Zhuang (Nanjing), graph anomaly detection, MPhil, 06/2020 - 04/2023 (SDMx1)

• Dandan Zheng (CAMS), deep learning in bioinformatics, PhD, 10/2018 - 04/2020 (Bioinformaticsx1)

• Cheng Yan (Beihang), deep feature learning, PhD, 10/2018 - 01/2020 (CVPRx1, ICCVx2, TMMx1, ACM Multimediax1)

• Xiongren Chen (Adelaide), causality learning, MPhil, 05/2020 - 04/2021

• Hongzuo Xu (NUDT), categorical anomaly detection, BEng, 01/2017 - 07/2017 (CIKMx1)

Honors/Capstone/Coursework projects

• Ying Fu Lim (SMU), log anomaly detection, Master of Computing (coursework, part-time),  02/2023 - 11/2024

• Adhihariharan Ayyappan Umamameswari (SMU), adversarial attacks on medical imaging, Master of Computing (coursework), 11/2022 - 06/2023

• Qing Zhong (Adelaide), identification of driver cancer genes, Honors, 02/2020 - 02/2021

• Jitendra Singh Malik (Adelaide), hate speech detection,  Master of Data Science (coursework), 03/2021 - 03/2022

• Roberto Valenzuela (Adelaide), deep intrusion detection, Master of Data Science (coursework), 02/2020 - 11/2020

• Riris Silalahi (Adelaide), deep anomaly detection, Master of Data Science (coursework), 02/2019 - 12/2019

• I-Chun Lin (Adelaide), deep anomaly detection, Master of Data Science (coursework), 02/2019 - 12/2019