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Tri CAO
Research Assistant at National University of Singapore (NUS)
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Biography

Hi! I am from Vietnam. Currently, I am a first-year PhD student at the National University of Singapore (NUS), fortunate to be under the joint supervision of Prof. Bryan Hooi and Prof. Shuicheng Yan, with the sponsorship of the AI Singapore PhD Fellowship.
Previously, I graduated in Computer Science from Vietnam National University Ho Chi Minh City – University of Science, where I excelled in the Advanced Program in Computer Science (APCS) and earned my degree with Highest Distinction (Excellent).

News

Aug 2025
One paper accepted at EMNLP 2025.
Aug 2025
Started my PhD at NUS.
Jun 2025
Awarded the AI Singapore PhD Fellowship, a very prestigious scholarship in Singapore.
Feb 2025
One paper accepted at CVPR 2025.
Feb 2025
Received an offer of PhD admission and scholarship from NUS.
Jan 2025
One paper accepted at WWW 2025.
Dec 2024
One paper accepted at AAAI 2025 (Oral).
July 2024
Served as a mentor at the Math and Science Summer Program (MaSSP Vietnam).
May 2024
One paper accepted at Usenix 2024.
Jan 2024
Started RA position at NUS under the supervision of Prof. Bryan Hooi.
Nov 2023
Graduated with a Bachelor's degree, earning the highest distinction. Thank God!
Sep 023
One paper accepted at NeurIPS 2023.
Jul 2023
One paper accepted at ICCV 2023.
Nov 2022
One paper accepted at AAAI 2023.
Sep 2022
Started RA position at SMU under supervision of Prof. Guansong Pang.

Publications

Under Review

  • Tri Cao, Minh-Huy Trinh, Ailin Deng, Quoc-Nam Nguyen, Khoa Duong, Ngai-Man Cheung, Bryan Hooi. Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection. Under Review. 📄 GitHub
  • Tri Cao, Bennett Lim, Yue Liu, Yuan Sui, Yuexin Li, Shumin Deng, Lin Lu, Nay Oo, Shuicheng YAN, Bryan Hooi. VPI-Bench: Visual Prompt Injection Attacks for Computer-Use Agents. Under Review. 📄 GitHub
  • Yuan Sui, Yufei He, Tri Cao, Simeng Han, Yulin Chen, Bryan Hooi. Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models. Under Review. 📄
  • Yue Liu, Shengfang Zhai, Mingzhe Du, Yulin Chen, Tri Cao, Hongcheng Gao, Cheng Wang, Xinfeng Li, Kun Wang, Junfeng Fang, Jiaheng Zhang, Bryan Hooi. GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning. Under Review. 📄

Conference Proceedings

  • Lyucheng Wu, Mengru Wang, Ziwen Xu, Tri Cao, Nay Oo, Bryan Hooi, Shumin Deng. Automating Steering for Safe Multimodal Large Language Models. The Conference on Empirical Methods in Natural Language Processing (EMNLP) 2025 - Oral Presentation. 📄 GitHub
  • Ailin Deng, Tri Cao, Zhirui Chen, Bryan Hooi. Words or Vision: Do Vision-Language Models Have Blind Faith in Text? The Conference on Computer Vision and Pattern Recognition (CVPR) 2025. 📄 GitHub
  • Yuexin Li, Hiok Kuek Tan, Qiaoran Meng, Mei Lin Lock, Tri Cao, Shumin Deng, Nay Oo, Hoon Wei Lim, Bryan Hooi. PhishIntel: Toward Practical Deployment and Monitoring of Reference-based Phishing Detection. The International World Wide Web Conference (WWW) 2025. 📄
  • Tri Cao*, Chengyu Huang*, Yuexin Li*, Huilin Wang, Amy He, Nay Oo, Bryan Hooi. PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection. The Conference on Artificial Intelligence (AAAI) 2025 - Oral Presentation. 📄
  • Yuexin Li, Chengyu Huang, Shumin Deng, Mei Lin Lock, Tri Cao Nay Oo, Hoon Wei Lim, Bryan Hooi KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection. USENIX Security Symposium 2024. 📄 GitHub
  • Duy Minh Ho Nguyen, Hoang Nguyen, Nghiem Tuong Diep, Tan Ngoc Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Mathias Niepert, Daniel Sonntag. LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. The Conference on Neural Information Processing Systems (NeurIPS) 2023. 📄 GitHub
  • Tri Cao, Jiawen Zhu, Guansong Pang. Anomaly detection under Distribution shift. The International Conference on Computer Vision (ICCV) 2023. 📄 GitHub
  • Duy M. H. Nguyen, Hoang Nguyen, Truong Mai, Tri Cao, Paul Swoboda, Binh T. Nguyen, Nhat Ho, Pengtao Xie, Shadi Albarqouni, Daniel Sonntag. Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering. The Conference on Artificial Intelligence (AAAI) 2023. 📄

Journal Articles

  • Tan-Cong Nguyen, Tien-Phat Nguyen, Tri Cao, Thao Dao, Thi-Ngoc Ho, Tam V. Nguyen, and Minh-Triet Tran. MANet: Multi-branch attention auxiliary learning for lung nodule detection and segmentation. (Computer Methods And Programs In Biomedicine (IF: 7.027 - Q1)). 📄
  • JieQin, [et al., including Tri Cao and Minh-Triet Tran]. Sketch-Based 3D Shape Retrieval in the Wild. Computers and Graphics (IF: 1.936 - Q1). 📄