Current Members   

Research Staff

• Pengcheng Zhang (SMU), 01/2026 - , LLMs on structured sequences, Research Fellow

• Qizhou Wang (UniMelb), 08/2025 - , deepfake detection and mitigation, Research Fellow

Students

• Jiawen Zhu (SMU), 08/2022 - , anomaly and deepfake artifact detection, PhD (CVPRx2, ICCVx2, PAKDDx1)

• Hezhe Qiao (SMU), 01/2023 - , trustworthy ML, PhD (NeurIPSx3, KDDx1, IJCAIx1, ICMLx1, ECMLPKDDx1, TKDEx1)

• Lele Fu (SMU <- SYSU), 08/2025 - , anomaly-centric LVLMs, PhD - visiting

• Yi Zhang (SMU <- UQ), 09/2025-, multimodal LLM agents, PhD - visiting

• Huan Wang (SMU <- UOW), 01/2026 -, anomaly-centric LVLMs, PhD - visiting

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

• Wenjun Miao (Beihang), 05/2022 - , open-world learning, PhD (NeurIPSx1, AAAIx1, CVPRx1, ICCVx1, PRx1, TNNLSx1)

• Mengjia Niu (Imperial), 06/2024 - , hallucination detection, PhD (NeurIPSx1)

• Zihan Wang (Beihang), 09/2024 -, multimodal LLM security, PhD (AAAIx1, ICCVx1)

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

• Zelin Liu (Beihang), 06/2025 -, multimodal LLM security, MSc

• Xiaohui Zhou (NUDT), 09/2025 - , time series anomaly detection, PhD

• Zhisheng Lv (NUDT), 09/2025 - , anomaly-centric LVLMs, PhD

• Hui He (BIT), 11/2025 - , time series foundation models, PhD 

• Guoguo Ai (NUIST), 11/2025 - , graph representation learning, PhD

• Jiachen Sun (Beihang), 12/2025 - , multimodal LLM security,  PhD

Team Members' Awards

• Jiawen Zhu, SMU Presidential Doctoral Fellowship (2024 & 2025); 2025 SCIS Dean's List

• Hezhe Qiao, SMU Presidential Doctoral Fellowship (2024 & 2025); 2025 SCIS Dean's List

• Jiaxi Li, IEEE DSAA 2023 Best Paper Award (Applications Track) 

Former Members

SMU Students

• Wenjie Li (SMU), 02/2025 - 08/2025, foundation model security, Research Engineer

• Ying Fu Lim (SMU),  02/2023 - 11/2024, log anomaly detection, Master of Computing (coursework, part-time) (PAKDDx1)

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

Co-Supervised Students

• Guolei Zeng (FZU), 09/2024 - 09/2025, graph anomaly detection, BSc

• Chaoxi Niu (UTS), 09/2021 - 08/2025, learning on graphs and sequences, PhD (NeurIPSx1, IJCAIx1, KDDx1, ECMLPKDDx1, ECAIx1, TNNLSx1)

• Yukun Li (NPU), 03/2023 - 12/2024, continual learning, PhD (TNNLSx1)

• 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, ICLRx1)

• 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)

• Hongzuo Xu (NUDT), 06/2022 - 05/2024, anomaly detection, PhD (TKDEx2, IP&Mx1, ECMLPKDDx1)

• Ruohuan Fang (Beihang), 05/2022 - 12/2023, open-world learning, MPhil (AAAIx1, TNNLSx1)

• 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)

• 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)

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

Visiting Research Students

• Hui He (SMU <- BIT), 11/2024 - 10/2025, time series foundation models, PhD (NeurIPSx1)

• Guoguo Ai (SMU <- NUIST), 11/2024 - 10/2025, graph representation learning, PhD (ICMLx1, NeurIPSx1)

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

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

• Tung Nguyen (SMU <- VinUni), continual learning, MPhil - visiting, 02/2023 - 08/2023 (PRx1)

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

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

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

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

Honors/Coursework projects

• 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