Tri Cao

28 papers A* 7A 2C 1Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates.
CoRR
Yibo Li, Zijie Lin, Ailin Deng, Xuan Zhang, Yufei He, Shuo Ji, Tri Cao, Bryan Hooi
2026 A conf
MELCOT: A Hybrid Learning Architecture with Marginal Preservation for Matrix-Valued Regression.
WSDM
Khang Tran, Hieu Cao, Thinh Pham, Nghiem Diep, Tri Cao, Binh Nguyen
2025 A* conf
Automating Steering for Safe Multimodal Large Language Models.
EMNLP
Lyucheng Wu, Mengru Wang, Ziwen Xu, Tri Cao, Nay Oo, Bryan Hooi, Shumin Deng
2025 J jnl
Automating Steering for Safe Multimodal Large Language Models.
CoRR
Lyucheng Wu, Mengru Wang, Ziwen Xu, Tri Cao, Nay Oo, Bryan Hooi, Shumin Deng
2025 J jnl
EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems.
CoRR
Yufei He, Juncheng Liu, Yue Liu, Yibo Li, Tri Cao, Zhiyuan Hu, Xinxing Xu, Bryan Hooi
2025 J jnl
GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning.
CoRR
Yue Liu, Shengfang Zhai, Mingzhe Du, Yulin Chen, Tri Cao, Hongcheng Gao, Cheng Wang, Xinfeng Li, Kun Wang, Junfeng Fang, Jiaheng Zhang, Bryan Hooi
2025 J jnl
MELCOT: A Hybrid Learning Architecture with Marginal Preservation for Matrix-Valued Regression.
CoRR
Khang Tran, Hieu Cao, Thinh Pham, Nghiem Tuong Diep, Tri Cao, Binh T. Nguyen
2025 J jnl
Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models.
CoRR
Yuan Sui, Yufei He, Tri Cao, Simeng Han, Bryan Hooi
2025 A* conf
PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection.
AAAI
Tri Cao, Chengyu Huang, Yuexin Li, Huilin Wang, Amy He, Nay Oo, Bryan Hooi
2025 — conf
PhishIntel: Toward Practical Deployment of Reference-Based Phishing Detection.
WWW (Companion Volume)
Yuexin Li, Hiok Kuek Tan, Qiaoran Meng, Mei Lin Lock, Tri Cao, Shumin Deng, Nay Oo, Hoon Wei Lim, Bryan Hooi
2025 J jnl
VPI-Bench: Visual Prompt Injection Attacks for Computer-Use Agents.
CoRR
Tri Cao, Bennett Lim, Yue Liu, Yuan Sui, Yuexin Li, Shumin Deng, Lin Lu, Nay Oo, Shuicheng Yan, Bryan Hooi
2025 A* conf
Words or Vision: Do Vision-Language Models Have Blind Faith in Text?
CVPR
Ailin Deng, Tri Cao, Zhirui Chen, Bryan Hooi
2025 J jnl
Words or Vision: Do Vision-Language Models Have Blind Faith in Text?
CoRR
Ailin Deng, Tri Cao, Zhirui Chen, Bryan Hooi
2024 J jnl
Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection.
CoRR
Tri Cao, Minh-Huy Trinh, Ailin Deng, Quoc-Nam Nguyen, Khoa Duong, Ngai-Man Cheung, Bryan Hooi
2024 J jnl
CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation.
CoRR
Huy Trinh, Khang Tran, Nam Nguyen, Tri Cao, Binh Nguyen
2024 A* conf
KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection.
USENIX Security Symposium
Yuexin Li, Chengyu Huang, Shumin Deng, Mei Lin Lock, Tri Cao, Nay Oo, Hoon Wei Lim, Bryan Hooi
2024 J jnl
KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection.
CoRR
Yuexin Li, Chengyu Huang, Shumin Deng, Mei Lin Lock, Tri Cao, Nay Oo, Bryan Hooi, Hoon Wei Lim
2024 J jnl
PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection.
CoRR
Tri Cao, Chengyu Huang, Yuexin Li, Huilin Wang, Amy He, Nay Oo, Bryan Hooi
2024 J jnl
PhishIntel: Toward Practical Deployment of Reference-based Phishing Detection.
CoRR
Yuexin Li, Hiok Kuek Tan, Qiaoran Meng, Mei Lin Lock, Tri Cao, Shumin Deng, Nay Oo, Hoon Wei Lim, Bryan Hooi
2023 A* conf
Anomaly Detection under Distribution Shift.
ICCV
Tri Cao, Jiawen Zhu, Guansong Pang
2023 J jnl
Anomaly Detection under Distribution Shift.
CoRR
Tri Cao, Jiawen Zhu, Guansong Pang
2023 A* conf
Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering.
AAAI
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
2023 A* conf
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching.
NeurIPS
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
2023 J jnl
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching.
CoRR
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
2023 J jnl
MANet: Multi-branch attention auxiliary learning for lung nodule detection and segmentation.
Comput. Methods Programs Biomed.
Tan-Cong Nguyen, Tien-Phat Nguyen, Tri Cao, Thao Thi Phuong Dao, Thi-Ngoc Ho, Tam V. Nguyen, Minh-Triet Tran
2022 C conf
Ensemble approaches for Test Case Prioritization in UI testing.
SEKE
Tri Cao, Tuan Vu, Huyen Le, Vu Nguyen
2022 J jnl
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering.
CoRR
Duy M. H. Nguyen, Hoang Nguyen, Mai Thanh Nhat Truong, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag
2017 A conf
Front-end-of-line attacks in split manufacturing.
ICCAD
Yujie Wang, Tri Cao, Jiang Hu, Jeyavijayan Rajendran