Tri Cao

According to our database, Tri Cao authored at least 21 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

WebAgentGuard: A Reasoning-Driven Guard Model for Detecting Prompt Injection Attacks in Web Agents.

Yulin Chen, Tri Cao, Haoran Li, Yue Liu, Yibo Li, Yufei He, Le Minh Khoi, Yangqiu Song, Shuicheng Yan, Bryan Hooi

CoRR, April, 2026

Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates.

Yibo Li, Zijie Lin, Ailin Deng, Xuan Zhang, Yufei He, Shuo Ji, Tri Cao, Bryan Hooi

CoRR, January, 2026

MELCOT: A Hybrid Learning Architecture with Marginal Preservation for Matrix-Valued Regression.

Khang Tran, Hieu Cao, Thinh Pham, Nghiem Diep, Tri Cao, Binh Nguyen

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems.

Yufei He, Juncheng Liu, Yue Liu, Yibo Li, Tri Cao, Zhiyuan Hu, Xinxing Xu, Bryan Hooi

CoRR, October, 2025

MELCOT: A Hybrid Learning Architecture with Marginal Preservation for Matrix-Valued Regression.

Khang Tran, Hieu Cao, Thinh Pham, Nghiem Tuong Diep, Tri Cao, Binh T. Nguyen

CoRR, September, 2025

VPI-Bench: Visual Prompt Injection Attacks for Computer-Use Agents.

Tri Cao, Bennett Lim, Yue Liu, Yuan Sui, Yuexin Li, Shumin Deng, Lin Lu, Nay Oo, Shuicheng Yan, Bryan Hooi

CoRR, June, 2025

GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning.

Yue Liu, Shengfang Zhai, Mingzhe Du, Yulin Chen, Tri Cao, Hongcheng Gao, Cheng Wang, Xinfeng Li, Kun Wang, Junfeng Fang, Jiaheng Zhang, Bryan Hooi

CoRR, May, 2025

Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models.

Yuan Sui, Yufei He, Tri Cao, Simeng Han, Bryan Hooi

CoRR, February, 2025

PhishIntel: Toward Practical Deployment of Reference-Based Phishing Detection.

Yuexin Li, Hiok Kuek Tan, Qiaoran Meng, Mei Lin Lock, Tri Cao, Shumin Deng, Nay Oo, Hoon Wei Lim, Bryan Hooi

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Automating Steering for Safe Multimodal Large Language Models.

Lyucheng Wu, Mengru Wang, Ziwen Xu, Tri Cao, Nay Oo, Bryan Hooi, Shumin Deng

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Words or Vision: Do Vision-Language Models Have Blind Faith in Text?

Ailin Deng, Tri Cao, Zhirui Chen, Bryan Hooi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection.

Tri Cao, Chengyu Huang, Yuexin Li, Huilin Wang, Amy He, Nay Oo, Bryan Hooi

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation.

Huy Trinh, Khang Tran, Nam Nguyen, Tri Cao, Binh Nguyen

CoRR, 2024

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection.

Tri Cao, Minh-Huy Trinh, Ailin Deng, Quoc-Nam Nguyen, Khoa Duong, Ngai-Man Cheung, Bryan Hooi

CoRR, 2024

KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection.

Yuexin Li, Chengyu Huang, Shumin Deng, Mei Lin Lock, Tri Cao, Nay Oo, Hoon Wei Lim, Bryan Hooi

Proceedings of the 33rd USENIX Security Symposium, 2024

2023

MANet: Multi-branch attention auxiliary learning for lung nodule detection and segmentation.

Tan-Cong Nguyen, Tien-Phat Nguyen, Tri Cao, Thao Thi Phuong Dao, Thi-Ngoc Ho, Tam V. Nguyen, Minh-Triet Tran

Comput. Methods Programs Biomed., November, 2023

LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching.

Duy M. H. Nguyen, Hoang Nguyen, Nghiem Tuong Diep, Tan Ngoc Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Anomaly Detection under Distribution Shift.

Tri Cao, Jiawen Zhu, Guansong Pang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering.

Duy M. H. Nguyen, Hoang Nguyen, Truong Thanh Nhat Mai, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Ensemble approaches for Test Case Prioritization in UI testing.

Tri Cao, Tuan Vu, Huyen Le, Vu Nguyen

Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

2017

Front-end-of-line attacks in split manufacturing.

Yujie Wang, Tri Cao, Jiang Hu, Jeyavijayan Rajendran

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017