Bryan Hooi - RankMe

368 papers A* 81A 19B 3C 1Journal 208Unranked 55

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgentSwing: Adaptive Parallel Context Management Routing for Long-Horizon Web Agents. CoRR Zhaopeng Feng, Liangcai Su, Zhen Zhang, Xinyu Wang, Xiaotian Zhang, Xiaobin Wang, Runnan Fang, Qi Zhang, Baixuan Li, Shihao Cai, Rui Ye, Hui Chen, Yong Jiang, Joey Tianyi Zhou, Chenxiong Qian, Pengjun Xie, Bryan Hooi, Zuozhu Liu, Jingren Zhou
2026	J	`jnl`	Autonomous Chain-of-Thought Distillation for Graph-Based Fraud Detection. CoRR Yuan Li, Jun Hu, Bryan Hooi, Bingsheng He, Cheng Chen
2026	J	`jnl`	Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning. CoRR Zhiyuan Hu, Yunhai Hu, Juncheng Liu, Shuyue Stella Li, Yucheng Wang, Zhen Xu, See-Kiong Ng, Anh Tuan Luu, Xinxing Xu, Bryan Hooi, Cynthia Breazeal, Hae Won Park
2026	J	`jnl`	Conversation for Non-verifiable Learning: Self-Evolving LLMs through Meta-Evaluation. CoRR Yuan Sui, Bryan Hooi
2026	A*	`conf`	DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs. AAAI Yuan Li, Jun Hu, Bryan Hooi, Bingsheng He, Cheng Chen
2026	A*	`conf`	Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning. AAAI Jun Hu, Shangheng Chen, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He
2026	J	`jnl`	EvoClinician: A Self-Evolving Agent for Multi-Turn Medical Diagnosis via Test-Time Evolutionary Learning. CoRR Yufei He, Juncheng Liu, Zhiyuan Hu, Yulin Chen, Yue Liu, Yuan Sui, Yibo Li, Nuo Chen, Jun Hu, Bryan Hooi, Xinxing Xu, Jiang Bian
2026	J	`jnl`	Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training. IEEE Trans. Knowl. Data Eng. Yufei He, Zhenyu Hou, Yukuo Cen, Jun Hu, Feng He, Xu Cheng, Jie Tang, Bryan Hooi
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	J	`jnl`	KLong: Training LLM Agent for Extremely Long-horizon Tasks. CoRR Yue Liu, Zhiyuan Hu, Flood Sung, Jiaheng Zhang, Bryan Hooi
2026	A	`conf`	LookAhead Tuning: Safer Language Models via Partial Answer Previews. WSDM Kangwei Liu, Mengru Wang, Yujie Luo, Lin Yuan, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Jun Zhou, Bryan Hooi, Shumin Deng
2026	J	`jnl`	MiroEval: Benchmarking Multimodal Deep Research Agents in Process and Outcome. CoRR Fangda Ye, Yuxin Hu, Pengxiang Zhu, Yibo Li, Ziqi Jin, Yao Xiao, Yibo Wang, Lei Wang, Zhen Zhang, Lu Wang, Yue Deng, Bin Wang, Yifan Zhang, Liangcai Su, Xinyu Wang, He Zhao, Chen Wei, Qiang Ren, Bryan Hooi, An Bo, Shuicheng Yan, Lidong Bing
2026	A*	`conf`	NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification. AAAI Jun Hu, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He
2026	J	`jnl`	Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs. CoRR Zhiyuan Hu, Yucheng Wang, Yufei He, Jiaying Wu, Yilun Zhao, See-Kiong Ng, Cynthia Breazeal, Anh Tuan Luu, Hae Won Park, Bryan Hooi
2026	J	`jnl`	Towards Realistic Personalization: Evaluating Long-Horizon Preference Following in Personalized User-LLM Interactions. CoRR Qianyun Guo, Yibo Li, Yue Liu, Bryan Hooi
2026	J	`jnl`	Zombie Agents: Persistent Control of Self-Evolving LLM Agents via Self-Reinforcing Injections. CoRR Xianglin Yang, Yufei He, Shuo Ji, Bryan Hooi, Jin Song Dong
2025	J	`jnl`	A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions. IEEE Trans. Knowl. Data Eng. Zemin Liu, Yuan Li, Nan Chen, Qian Wang, Bryan Hooi, Bingsheng He
2025	A*	`conf`	Adapting Precomputed Features for Efficient Graph Condensation. ICML Yuan Li, Jun Hu, Zemin Liu, Bryan Hooi, Jia Chen, Bingsheng He
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	—	`conf`	Backdoor-Powered Prompt Injection Attacks Nullify Defense Methods. EMNLP (Findings) Yulin Chen, Haoran Li, Yuan Sui, Yangqiu Song, Bryan Hooi
2025	J	`jnl`	Backdoor-Powered Prompt Injection Attacks Nullify Defense Methods. CoRR Yulin Chen, Haoran Li, Yuan Sui, Yangqiu Song, Bryan Hooi
2025	J	`jnl`	Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models. CoRR Zhiyuan Hu, Yibo Wang, Hanze Dong, Yuhui Xu, Amrita Saha, Caiming Xiong, Bryan Hooi, Junnan Li
2025	J	`jnl`	Beyond Brainstorming: What Drives High-Quality Scientific Ideas? Lessons from Multi-Agent Collaboration. CoRR Nuo Chen, Yicheng Tong, Jiaying Wu, Minh Duc Duong, Qian Wang, Qingyun Zou, Bryan Hooi, Bingsheng He
2025	A*	`conf`	CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs. ICLR Jinlan Fu, Shenzhen Huangfu, Hao Fei, Xiaoyu Shen, Bryan Hooi, Xipeng Qiu, See-Kiong Ng
2025	J	`jnl`	CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs. CoRR Jinlan Fu, Shenzhen Huangfu, Hao Fei, Xiaoyu Shen, Bryan Hooi, Xipeng Qiu, See-Kiong Ng
2025	—	`conf`	Can Indirect Prompt Injection Attacks Be Detected and Removed? ACL (1) Yulin Chen, Haoran Li, Yuan Sui, Yufei He, Yue Liu, Yangqiu Song, Bryan Hooi
2025	J	`jnl`	Can Indirect Prompt Injection Attacks Be Detected and Removed? CoRR Yulin Chen, Haoran Li, Yuan Sui, Yufei He, Yue Liu, Yangqiu Song, Bryan Hooi
2025	—	`conf`	Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering. ACL (1) Yuan Sui, Yufei He, Zifeng Ding, Bryan Hooi
2025	J	`jnl`	ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark. CoRR Kangwei Liu, Siyuan Cheng, Bozhong Tian, Xiaozhuan Liang, YuYang Yin, Meng Han, Ningyu Zhang, Bryan Hooi, Xi Chen, Shumin Deng
2025	B	`conf`	Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding. COLING Cheng Wang, Yiwei Wang, Bryan Hooi, Yujun Cai, Nanyun Peng, Kai-Wei Chang
2025	J	`jnl`	ConfTuner: Training Large Language Models to Express Their Confidence Verbally. CoRR Yibo Li, Miao Xiong, Jiaying Wu, Bryan Hooi
2025	J	`jnl`	Cyber-Resilient System Identification for Power Grid through Bayesian Integration. CoRR Shimiao Li, Guannan Qu, Bryan Hooi, Vyas Sekar, Soummya Kar, Lawrence T. Pileggi
2025	J	`jnl`	DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs. CoRR Yuan Li, Jun Hu, Bryan Hooi, Bingsheng He, Cheng Chen
2025	—	`conf`	DRS: Deep Question Reformulation With Structured Output. ACL (Findings) Zhecheng Li, Yiwei Wang, Bryan Hooi, Yujun Cai, Nanyun Peng, Kai-Wei Chang
2025	—	`conf`	Defense Against Prompt Injection Attack by Leveraging Attack Techniques. ACL (1) Yulin Chen, Haoran Li, Zihao Zheng, Dekai Wu, Yangqiu Song, Bryan Hooi
2025	J	`jnl`	Do "New Snow Tablets" Contain Snow? Large Language Models Over-Rely on Names to Identify Ingredients of Chinese Drugs. CoRR Sifan Li, Yujun Cai, Bryan Hooi, Nanyun Peng, Yiwei Wang
2025	J	`jnl`	Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning. CoRR Jun Hu, Shangheng Chen, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He
2025	J	`jnl`	Efficient Inference for Large Reasoning Models: A Survey. CoRR Yue Liu, Jiaying Wu, Yufei He, Hongcheng Gao, Hongyu Chen, Baolong Bi, Jiaheng Zhang, Zhiqi Huang, Bryan Hooi
2025	J	`jnl`	Efficient Reasoning via Chain of Unconscious Thought. CoRR Ruihan Gong, Yue Liu, Wenjie Qu, Mingzhe Du, Yufei He, Yingwei Ma, Yulin Chen, Xiang Liu, Yi Wen, Xinfeng Li, Ruidong Wang, Xinzhong Zhu, Bryan Hooi, Jiaheng Zhang
2025	—	`conf`	Enabling Self-Improving Agents to Learn at Test Time With Human-In-The-Loop Guidance. EMNLP (Industry Track) Yufei He, Ruoyu Li, Alex Chen, Yue Liu, Yulin Chen, Yuan Sui, Cheng Chen, Yi Zhu, Luca Luo, Frank Yang, Bryan Hooi
2025	J	`jnl`	Enabling Self-Improving Agents to Learn at Test Time With Human-In-The-Loop Guidance. CoRR Yufei He, Ruoyu Li, Alex Chen, Yue Liu, Yulin Chen, Yuan Sui, Cheng Chen, Yi Zhu, Luca Luo, Frank Yang, Bryan Hooi
2025	J	`jnl`	Enhancing LLM Character-Level Manipulation via Divide and Conquer. CoRR Zhen Xiong, Yujun Cai, Bryan Hooi, Nanyun Peng, Kai-Wei Chang, Zhecheng Li, Yiwei Wang
2025	—	`conf`	Enhancing Multi-Agent Debate System Performance via Confidence Expression. EMNLP (Findings) Zijie Lin, Bryan Hooi
2025	J	`jnl`	Enhancing Multi-Agent Debate System Performance via Confidence Expression. CoRR Zijie Lin, Bryan Hooi
2025	J	`jnl`	Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals? CoRR Yufei He, Yuexin Li, Jiaying Wu, Yuan Sui, Yulin Chen, Bryan Hooi
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	A*	`conf`	Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models. CVPR Shuyang Hao, Bryan Hooi, Jun Liu, Kai-Wei Chang, Zi Huang, Yujun Cai
2025	J	`jnl`	Fact or Guesswork? Evaluating Large Language Model's Medical Knowledge with Structured One-Hop Judgment. CoRR Jiaxi Li, Yiwei Wang, Kai Zhang, Yujun Cai, Bryan Hooi, Nanyun Peng, Kai-Wei Chang, Jin Lu
2025	—	`conf`	FiDeLiS: Faithful Reasoning in Large Language Models for Knowledge Graph Question Answering. ACL (Findings) Yuan Sui, Yufei He, Nian Liu, Xiaoxin He, Kun Wang, Bryan Hooi
2025	A*	`conf`	FlipAttack: Jailbreak LLMs via Flipping. ICML Yue Liu, Xiaoxin He, Miao Xiong, Jinlan Fu, Shumin Deng, Yingwei Ma, Jiaheng Zhang, Bryan Hooi
2025	J	`jnl`	FlowReasoner: Reinforcing Query-Level Meta-Agents. CoRR Hongcheng Gao, Yue Liu, Yufei He, Longxu Dou, Chao Du, Zhijie Deng, Bryan Hooi, Min Lin, Tianyu Pang
2025	J	`jnl`	From Long to Short: LLMs Excel at Trimming Own Reasoning Chains. CoRR Wei Han, Geng Zhan, Sicheng Yu, Chenyu Wang, Bryan Hooi
2025	J	`jnl`	GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning. CoRR Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu
2025	J	`jnl`	Geneshift: Impact of different scenario shift on Jailbreaking LLM. CoRR Tianyi Wu, Zhiwei Xue, Yue Liu, Jiaheng Zhang, Bryan Hooi, See-Kiong Ng
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`	GuardReasoner: Towards Reasoning-based LLM Safeguards. CoRR Yue Liu, Hongcheng Gao, Shengfang Zhai, Jun Xia, Tianyi Wu, Zhiwei Xue, Yulin Chen, Kenji Kawaguchi, Jiaheng Zhang, Bryan Hooi
2025	J	`jnl`	Guiding VLM Agents with Process Rewards at Inference Time for GUI Navigation. CoRR Zhiyuan Hu, Shiyun Xiong, Yifan Zhang, See-Kiong Ng, Anh Tuan Luu, Bo An, Shuicheng Yan, Bryan Hooi
2025	—	`conf`	How Does Response Length Affect Long-Form Factuality. ACL (Findings) James Xu Zhao, Jimmy Z. J. Liu, Bryan Hooi, See-Kiong Ng
2025	J	`jnl`	How Does Response Length Affect Long-Form Factuality. CoRR James Xu Zhao, Jimmy Z. J. Liu, Bryan Hooi, See-Kiong Ng
2025	A*	`conf`	How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees. ICML Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu
2025	J	`jnl`	How does Watermarking Affect Visual Language Models in Document Understanding? CoRR Chunxue Xu, Yiwei Wang, Bryan Hooi, Yujun Cai, Songze Li
2025	A*	`conf`	How to Make Large Language Models Generate 100% Valid Molecules? EMNLP Wen Tao, Jing Tang, Alvin Chan, Bryan Hooi, Baolong Bi, Nanyun Peng, Yuansheng Liu, Yiwei Wang
2025	J	`jnl`	How to Make Large Language Models Generate 100% Valid Molecules? CoRR Wen Tao, Jing Tang, Alvin Chan, Bryan Hooi, Baolong Bi, Nanyun Peng, Yuansheng Liu, Yiwei Wang
2025	A*	`conf`	Interrelated Dense Pattern Detection in Multilayer Networks (Extended Abstract). ICDE Wenjie Feng, Li Wang, Bryan Hooi, See-Kiong Ng, Shenhua Liu
2025	J	`jnl`	JudgeLRM: Large Reasoning Models as a Judge. CoRR Nuo Chen, Zhiyuan Hu, Qingyun Zou, Jiaying Wu, Qian Wang, Bryan Hooi, Bingsheng He
2025	—	`conf`	LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models. ACL (1) Zhiyuan Hu, Yuliang Liu, Jinman Zhao, Suyuchen Wang, WangYan WangYan, Wei Shen, Qing Gu, Anh Tuan Luu, See-Kiong Ng, Zhiwei Jiang, Bryan Hooi
2025	J	`jnl`	Lost in Edits? A λ-Compass for AIGC Provenance. CoRR Wenhao You, Bryan Hooi, Yiwei Wang, Euijin Choo, Ming-Hsuan Yang, Junsong Yuan, Zi Huang, Yujun Cai
2025	J	`jnl`	MIRAGE: Multimodal Immersive Reasoning and Guided Exploration for Red-Team Jailbreak Attacks. CoRR Wenhao You, Bryan Hooi, Yiwei Wang, Youke Wang, Zong Ke, Ming-Hsuan Yang, Zi Huang, Yujun Cai
2025	J	`jnl`	MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research. CoRR Hui Chen, Miao Xiong, Yujie Lu, Wei Han, Ailin Deng, Yufei He, Jiaying Wu, Yibo Li, Yue Liu, Bryan Hooi
2025	—	`conf`	Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization. EMNLP (Findings) Shuyang Hao, Yiwei Wang, Bryan Hooi, Jun Liu, Muhao Chen, Zi Huang, Yujun Cai
2025	J	`jnl`	Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization. CoRR Shuyang Hao, Yiwei Wang, Bryan Hooi, Jun Liu, Muhao Chen, Zi Huang, Yujun Cai
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`	Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation. AAAI Jun Hu, Bryan Hooi, Bingsheng He, Yinwei Wei
2025	A*	`conf`	Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design. ICML Zhi Zheng, Zhuoliang Xie, Zhenkun Wang, Bryan Hooi
2025	J	`jnl`	Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design. CoRR Zhi Zheng, Zhuoliang Xie, Zhenkun Wang, Bryan Hooi
2025	A*	`conf`	Multi-Label Node Classification with Label Influence Propagation. ICLR Yifei Sun, Zemin Liu, Bryan Hooi, Yang Yang, Rizal Fathony, Jia Chen, Bingsheng He
2025	J	`jnl`	NTSFormer: A Self-Teaching Graph Transformer for Multimodal Cold-Start Node Classification. CoRR Jun Hu, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He
2025	J	`jnl`	Navigating the Helpfulness-Truthfulness Trade-Off with Uncertainty-Aware Instruction Fine-Tuning. CoRR Tianyi Wu, Jingwei Ni, Bryan Hooi, Jiaheng Zhang, Elliott Ash, See-Kiong Ng, Mrinmaya Sachan, Markus Leippold
2025	—	`conf`	NodeImport: Imbalanced Node Classification with Node Importance Assessment. KDD (1) Nan Chen, Zemin Liu, Bryan Hooi, Bingsheng He, Jun Hu, Jia Chen
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	A	`ed.`	Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 CIKM Meeyoung Cha, Chanyoung Park, Noseong Park, Carl Yang, Senjuti Basu Roy, Jessie Li, Jaap Kamps, Kijung Shin, Bryan Hooi, Lifang He
2025	J	`jnl`	Process or Result? Manipulated Ending Tokens Can Mislead Reasoning LLMs to Ignore the Correct Reasoning Steps. CoRR Yu Cui, Bryan Hooi, Yujun Cai, Yiwei Wang
2025	J	`jnl`	RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs. CoRR Yuan Li, Jun Hu, Jiaxin Jiang, Zemin Liu, Bryan Hooi, Bingsheng He
2025	J	`jnl`	RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design. Trans. Mach. Learn. Res. Rishabh Anand, Chaitanya K. Joshi, Alex Morehead, Arian Rokkum Jamasb, Charles Harris, Simon V. Mathis, Kieran Didi, Rex Ying, Bryan Hooi, Pietro Lio
2025	—	`conf`	ReLearn: Unlearning via Learning for Large Language Models. ACL (1) Haoming Xu, Ningyuan Zhao, Liming Yang, Sendong Zhao, Shumin Deng, Mengru Wang, Bryan Hooi, Nay Oo, Huajun Chen, Ningyu Zhang
2025	J	`jnl`	ReLearn: Unlearning via Learning for Large Language Models. CoRR Haoming Xu, Ningyuan Zhao, Liming Yang, Sendong Zhao, Shumin Deng, Mengru Wang, Bryan Hooi, Nay Oo, Huajun Chen, Ningyu Zhang
2025	J	`jnl`	Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction. CoRR Yulin Chen, Haoran Li, Yuan Sui, Yue Liu, Yufei He, Yangqiu Song, Bryan Hooi
2025	—	`conf`	SODA: Out-of-Distribution Detection in Domain-Shifted Point Clouds via Neighborhood Propagation. ECML/PKDD (1) Adam Goodge, Bryan Hooi, Jingyi Liao, Yongyi Su, Wee Siong Ng, Xun Xu, XuLei Yang
2025	J	`jnl`	SODA: Out-of-Distribution Detection in Domain-Shifted Point Clouds via Neighborhood Propagation. CoRR Adam Goodge, Xun Xu, Bryan Hooi, Wee Siong Ng, Jingyi Liao, Yongyi Su, XuLei Yang
2025	—	`conf`	Safety in Large Reasoning Models: A Survey. EMNLP (Findings) Cheng Wang, Yue Liu, Baolong Bi, Duzhen Zhang, Zhong-Zhi Li, Yingwei Ma, Yufei He, Shengju Yu, Xinfeng Li, Junfeng Fang, Jiaheng Zhang, Bryan Hooi
2025	J	`jnl`	Seeing Through Deception: Uncovering Misleading Creator Intent in Multimodal News with Vision-Language Models. CoRR Jiaying Wu, Fanxiao Li, Min-Yen Kan, Bryan Hooi
2025	J	`jnl`	Spatio-Temporal Foundation Models: Vision, Challenges, and Opportunities. CoRR Adam Goodge, Wee Siong Ng, Bryan Hooi, See-Kiong Ng
2025	J	`jnl`	Structured Outputs Enable General-Purpose LLMs to be Medical Experts. CoRR Guangfu Guo, Kai Zhang, Bryan Hooi, Yujun Cai, Xiaoqian Lu, Nanyun Peng, Yiwei Wang
2025	J	`jnl`	Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet. CoRR James Xu Zhao, Bryan Hooi, See-Kiong Ng
2025	J	`jnl`	Text Speaks Louder than Vision: ASCII Art Reveals Textual Biases in Vision-Language Models. CoRR Zhaochen Wang, Bryan Hooi, Yiwei Wang, Ming-Hsuan Yang, Zi Huang, Yujun Cai
2025	J	`jnl`	Tit-for-Tat: Safeguarding Large Vision-Language Models Against Jailbreak Attacks via Adversarial Defense. CoRR Shuyang Hao, Yiwei Wang, Bryan Hooi, Ming-Hsuan Yang, Jun Liu, Chengcheng Tang, Zi Huang, Yujun Cai
2025	A*	`conf`	TopicAttack: An Indirect Prompt Injection Attack via Topic Transition. EMNLP Yulin Chen, Haoran Li, Yuexin Li, Yue Liu, Yangqiu Song, Bryan Hooi
2025	J	`jnl`	TopicAttack: An Indirect Prompt Injection Attack via Topic Transition. CoRR Yulin Chen, Haoran Li, Yuexin Li, Yue Liu, Yangqiu Song, Bryan Hooi
2025	—	`conf`	Tricking Retrievers with Influential Tokens: An Efficient Black-Box Corpus Poisoning Attack. NAACL (Long Papers) Cheng Wang, Yiwei Wang, Yujun Cai, Bryan Hooi
2025	J	`jnl`	Tricking Retrievers with Influential Tokens: An Efficient Black-Box Corpus Poisoning Attack. CoRR Cheng Wang, Yiwei Wang, Yujun Cai, Bryan Hooi
2025	A*	`conf`	UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs. WWW Yufei He, Yuan Sui, Xiaoxin He, Yue Liu, Yifei Sun, Bryan Hooi
2025	J	`jnl`	UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs. CoRR Yufei He, Yuan Sui, Xiaoxin He, Yue Liu, Yifei Sun, Bryan Hooi
2025	—	`conf`	UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs. KDD (1) Yufei He, Yuan Sui, Xiaoxin He, Bryan Hooi
2025	J	`jnl`	UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting. Trans. Mach. Learn. Res. Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo
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	J	`jnl`	Visual CoT Makes VLMs Smarter but More Fragile. CoRR Chunxue Xu, Yiwei Wang, Yujun Cai, Bryan Hooi, Songze Li
2025	—	`conf`	Vulnerability of LLMs to Vertically Aligned Text Manipulations. ACL (1) Zhecheng Li, Yiwei Wang, Bryan Hooi, Yujun Cai, Zhen Xiong, Nanyun Peng, Kai-Wei Chang
2025	J	`jnl`	What-If Analysis of Large Language Models: Explore the Game World Using Proactive Thinking. CoRR Yuan Sui, Yanming Zhang, Yi Liao, Yu Gu, Guohua Tang, Zhongqian Sun, Wei Yang, 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`	Automated Phishing Detection Using URLs and Webpages. CoRR Huilin Wang, Bryan Hooi
2024	J	`jnl`	Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study over Open-ended Question Answering. CoRR Yuan Sui, Bryan Hooi
2024	A*	`conf`	Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs. ICLR Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, Bryan Hooi
2024	J	`jnl`	CapMax: A Framework for Dynamic Network Representation Learning From the View of Multiuser Communication. IEEE Trans. Neural Networks Learn. Syst. Chenming Yang, Hui Wen, Bryan Hooi, Liang Zhou
2024	J	`jnl`	Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding. CoRR Cheng Wang, Yiwei Wang, Bryan Hooi, Yujun Cai, Nanyun Peng, Kai-Wei Chang
2024	A*	`conf`	Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision. ICLR Nan Chen, Zemin Liu, Bryan Hooi, Bingsheng He, Rizal Fathony, Jun Hu, Jia Chen
2024	J	`jnl`	DRS: Deep Question Reformulation With Structured Output. CoRR Zhecheng Li, Yiwei Wang, Bryan Hooi, Yujun Cai, Nanyun Peng, Kai-Wei Chang
2024	J	`jnl`	Defense Against Prompt Injection Attack by Leveraging Attack Techniques. CoRR Yulin Chen, Haoran Li, Zihao Zheng, Yangqiu Song, Dekai Wu, Bryan Hooi
2024	—	`conf`	EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs. DASFAA (6) Hewen Wang, Bryan Hooi, Dan He, Juncheng Liu, Xiaokui Xiao
2024	J	`jnl`	Efficient Heterogeneous Graph Learning via Random Projection. IEEE Trans. Knowl. Data Eng. Jun Hu, Bryan Hooi, Bingsheng He
2024	—	`conf`	Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View. ACL (1) Jintian Zhang, Xin Xu, Ningyu Zhang, Ruibo Liu, Bryan Hooi, Shumin Deng
2024	J	`jnl`	Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models. CoRR Shuyang Hao, Bryan Hooi, Jun Liu, Kai-Wei Chang, Zi Huang, Yujun Cai
2024	A*	`conf`	Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks. KDD Jiaying Wu, Jiafeng Guo, Bryan Hooi
2024	J	`jnl`	FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering. CoRR Yuan Sui, Yufei He, Nian Liu, Xiaoxin He, Kun Wang, Bryan Hooi
2024	J	`jnl`	FlipAttack: Jailbreak LLMs via Flipping. CoRR Yue Liu, Xiaoxin He, Miao Xiong, Jinlan Fu, Shumin Deng, Bryan Hooi
2024	A*	`conf`	G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. NeurIPS Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V. Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi
2024	J	`jnl`	G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. CoRR Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V. Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi
2024	J	`jnl`	Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training on Industrial-Scale Data. CoRR Yufei He, Zhenyu Hou, Yukuo Cen, Feng He, Xu Cheng, Bryan Hooi
2024	A*	`conf`	Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning. ICLR Xiaoxin He, Xavier Bresson, Thomas Laurent, Adam Perold, Yann LeCun, Bryan Hooi
2024	A*	`conf`	ID NeurIPS Jianqing Xu, Shen Li, Jiaying Wu, Miao Xiong, Ailin Deng, Jiazhen Ji, Yuge Huang, Guodong Mu, Wenjie Feng, Shouhong Ding, Bryan Hooi
2024	J	`jnl`	ID CoRR Shen Li, Jianqing Xu, Jiaying Wu, Miao Xiong, Ailin Deng, Jiazhen Ji, Yuge Huang, Wenjie Feng, Shouhong Ding, Bryan Hooi
2024	—	`conf`	Information Extraction in Low-Resource Scenarios: Survey and Perspective. ICKG Shumin Deng, Yubo Ma, Ningyu Zhang, Yixin Cao, Bryan Hooi
2024	J	`jnl`	Interrelated Dense Pattern Detection in Multilayer Networks. IEEE Trans. Knowl. Data Eng. Wenjie Feng, Li Wang, Bryan Hooi, See-Kiong Ng, Shenghua Liu
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	—	`conf`	Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning. ECCV (83) Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi
2024	J	`jnl`	Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning. CoRR Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi
2024	J	`jnl`	LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models. CoRR Zhiyuan Hu, Yuliang Liu, Jinman Zhao, Suyuchen Wang, Yan Wang, Wei Shen, Qing Gu, Anh Tuan Luu, See-Kiong Ng, Zhiwei Jiang, Bryan Hooi
2024	J	`jnl`	MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering. IEEE Trans. Knowl. Data Eng. Jun Hu, Bryan Hooi, Shengsheng Qian, Quan Fang, Changsheng Xu
2024	J	`jnl`	Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation. CoRR Jun Hu, Bryan Hooi, Bingsheng He, Yinwei Wei
2024	—	`conf`	Multimodal Large Language Models for Phishing Webpage Detection and Identification. eCrime Jehyun Lee, Peiyuan Lim, Bryan Hooi, Dinil Mon Divakaran
2024	J	`jnl`	Multimodal Large Language Models for Phishing Webpage Detection and Identification. CoRR Jehyun Lee, Peiyuan Lim, Bryan Hooi, Dinil Mon Divakaran
2024	A*	`conf`	Partitioning Message Passing for Graph Fraud Detection. ICLR Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen
2024	J	`jnl`	Partitioning Message Passing for Graph Fraud Detection. CoRR Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen
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
2024	A*	`conf`	PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation. AAAI Zhiyuan Hu, Chumin Liu, Yue Feng, Anh Tuan Luu, Bryan Hooi
2024	J	`jnl`	RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design. CoRR Rishabh Anand, Chaitanya K. Joshi, Alex Morehead, Arian R. Jamasb, Charles Harris, Simon V. Mathis, Kieran Didi, Bryan Hooi, Pietro Liò
2024	—	`conf`	Reinventing Node-centric Traffic Forecasting for Improved Accuracy and Efficiency. ECML/PKDD (3) Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann
2024	A*	`conf`	Scalable and Effective Implicit Graph Neural Networks on Large Graphs. ICLR Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao
2024	J	`jnl`	Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding. CoRR Ailin Deng, Zhirui Chen, Bryan Hooi
2024	—	`conf`	The 1st International Workshop on Graph Foundation Models (GFM). WWW (Companion Volume) Haitao Mao, Jianan Zhao, Xiaoxin He, Zhikai Chen, Qian Huang, Zhaocheng Zhu, Jian Tang, Michael M. Bronstein, Xavier Bresson, Bryan Hooi, Haiyang Zhang, Xianfeng Tang, Luo Chen, Jiliang Tang
2024	J	`jnl`	Think Carefully and Check Again! Meta-Generation Unlocking LLMs for Low-Resource Cross-Lingual Summarization. CoRR Zhecheng Li, Yiwei Wang, Bryan Hooi, Yujun Cai, Naifan Cheung, Nanyun Peng, Kai-Wei Chang
2024	A*	`conf`	Truth Table Net: Scalable, Compact & Verifiable Neural Networks with a Dual Convolutional Small Boolean Circuit Networks Form. IJCAI Adrien Benamira, Thomas Peyrin, Trevor Yap, Tristan Guérand, Bryan Hooi
2024	A*	`conf`	Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs. NeurIPS Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei W. Koh, Bryan Hooi
2024	J	`jnl`	Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models. CoRR Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei Koh, Bryan Hooi
2024	J	`jnl`	UniGraph: Learning a Cross-Domain Graph Foundation Model From Natural Language. CoRR Yufei He, Bryan Hooi
2024	J	`jnl`	UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting. CoRR Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo
2024	A*	`conf`	UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting. WWW Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann
2024	J	`jnl`	Vulnerability of LLMs to Vertically Aligned Text Manipulations. CoRR Zhecheng Li, Yiwei Wang, Bryan Hooi, Yujun Cai, Zhen Xiong, Nanyun Peng, Kai-Wei Chang
2024	A	`conf`	When Text and Images Don't Mix: Bias-Correcting Language-Image Similarity Scores for Anomaly Detection. BMVC Adam Goodge, Bryan Hooi, Wee Siong Ng
2024	J	`jnl`	When Text and Images Don't Mix: Bias-Correcting Language-Image Similarity Scores for Anomaly Detection. CoRR Adam Goodge, Bryan Hooi, Wee Siong Ng
2023	A*	`conf`	A Generalization of ViT/MLP-Mixer to Graphs. ICML Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson
2023	J	`jnl`	A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions. CoRR Zemin Liu, Yuan Li, Nan Chen, Qian Wang, Bryan Hooi, Bingsheng He
2023	J	`jnl`	A multi-scale reconstruction method for the anomaly detection in stochastic dynamic networks. Neurocomputing Chenming Yang, Hui Wen, Bryan Hooi, Yue Wu, Liang Zhou
2023	J	`jnl`	Benefit-aware early prediction of health outcomes on multivariate EEG time series. J. Biomed. Informatics Shubhranshu Shekhar, Dhivya Eswaran, Bryan Hooi, Jonathan Elmer, Christos Faloutsos, Leman Akoglu
2023	J	`jnl`	Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs. CoRR Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, Bryan Hooi
2023	A*	`conf`	Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph. ICDE Shumin Deng, Chengming Wang, Zhoubo Li, Ningyu Zhang, Zelin Dai, Hehong Chen, Feiyu Xiong, Ming Yan, Qiang Chen, Mosha Chen, Jiaoyan Chen, Jeff Z. Pan, Bryan Hooi, Huajun Chen
2023	J	`jnl`	Continuous-time graph directed information maximization for temporal network representation. Inf. Sci. Chenming Yang, Jingjing Li, Ke Lu, Bryan Hooi, Liang Zhou
2023	A*	`conf`	DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection. KDD Jiaying Wu, Bryan Hooi
2023	J	`jnl`	DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection. CoRR Jiaying Wu, Bryan Hooi
2023	J	`jnl`	Deep Long-Tailed Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng
2023	J	`jnl`	Do We Really Need Graph Neural Networks for Traffic Forecasting? CoRR Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann
2023	J	`jnl`	Efficient Heterogeneous Graph Learning via Random Projection. CoRR Jun Hu, Bryan Hooi, Bingsheng He
2023	J	`jnl`	Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals. CoRR Zhiyuan Hu, Yue Feng, Yang Deng, Zekun Li, See-Kiong Ng, Anh Tuan Luu, Bryan Hooi
2023	A*	`conf`	Expanding Small-Scale Datasets with Guided Imagination. NeurIPS Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng
2023	J	`jnl`	Explanations as Features: LLM-Based Features for Text-Attributed Graphs. CoRR Xiaoxin He, Xavier Bresson, Thomas Laurent, Bryan Hooi
2023	J	`jnl`	Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View. CoRR Jintian Zhang, Xin Xu, Ningyu Zhang, Ruibo Liu, Bryan Hooi, Shumin Deng
2023	J	`jnl`	Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks. CoRR Jiaying Wu, Bryan Hooi
2023	A	`conf`	Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference. WSDM Yiwei Wang, Bryan Hooi, Yozen Liu, Neil Shah
2023	A*	`conf`	GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks. ICML Yuwen Li, Miao Xiong, Bryan Hooi
2023	J	`jnl`	GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks. CoRR Yuwen Li, Miao Xiong, Bryan Hooi
2023	A*	`conf`	Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement. ICML Ailin Deng, Miao Xiong, Bryan Hooi
2023	J	`jnl`	Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement. CoRR Ailin Deng, Miao Xiong, Bryan Hooi
2023	J	`jnl`	HiPA: Enabling One-Step Text-to-Image Diffusion Models via High-Frequency-Promoting Adaptation. CoRR Yifan Zhang, Bryan Hooi
2023	B	`conf`	How Fragile is Relation Extraction under Entity Replacements? CoNLL Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen
2023	J	`jnl`	How Fragile is Relation Extraction under Entity Replacements? CoRR Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen
2023	A*	`conf`	LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting. NeurIPS Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann
2023	J	`jnl`	LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting. CoRR Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann
2023	J	`jnl`	Learning Hierarchical Spatial Tasks with Visiting Relations for Next POI Recommendation. Trans. Recomm. Syst. Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng, Rui Tan
2023	J	`jnl`	Multimodal Graph Learning for Generative Tasks. CoRR Minji Yoon, Jing Yu Koh, Bryan Hooi, Ruslan Salakhutdinov
2023	J	`jnl`	PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation. CoRR Zhiyuan Hu, Chumin Liu, Yue Feng, Bryan Hooi
2023	A*	`conf`	Primacy Effect of ChatGPT. EMNLP Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, Bryan Hooi
2023	J	`jnl`	Primacy Effect of ChatGPT. CoRR Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, Bryan Hooi
2023	A*	`conf`	Probabilistic Knowledge Distillation of Face Ensembles. CVPR Jianqing Xu, Shen Li, Ailin Deng, Miao Xiong, Jiaying Wu, Jiaxiang Wu, Shouhong Ding, Bryan Hooi
2023	J	`jnl`	Prompt-Based Zero- and Few-Shot Node Classification: A Multimodal Approach. CoRR Yuexin Li, Bryan Hooi
2023	A	`conf`	Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection. CIKM Jiaying Wu, Shen Li, Ailin Deng, Miao Xiong, Bryan Hooi
2023	J	`jnl`	Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection. CoRR Jiaying Wu, Shen Li, Ailin Deng, Miao Xiong, Bryan Hooi
2023	A*	`conf`	Proximity-Informed Calibration for Deep Neural Networks. NeurIPS Miao Xiong, Ailin Deng, Pang Wei W. Koh, Jiaying Wu, Shen Li, Jianqing Xu, Bryan Hooi
2023	J	`jnl`	Proximity-Informed Calibration for Deep Neural Networks. CoRR Miao Xiong, Ailin Deng, Pang Wei Koh, Jiaying Wu, Shen Li, Jianqing Xu, Bryan Hooi
2023	J	`jnl`	RETEXO: Scalable Neural Network Training over Distributed Graphs. CoRR Aashish Kolluri, Sarthak Choudhary, Bryan Hooi, Prateek Saxena
2023	A*	`conf`	Reachability-Aware Laplacian Representation in Reinforcement Learning. ICML Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang
2023	—	`conf`	SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres. ACL (1) Shumin Deng, Shengyu Mao, Ningyu Zhang, Bryan Hooi
2023	J	`jnl`	SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres. CoRR Shumin Deng, Shengyu Mao, Ningyu Zhang, Bryan Hooi
2023	A*	`conf`	Sketch-Based Anomaly Detection in Streaming Graphs. KDD Siddharth Bhatia, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip S. Yu, Bryan Hooi
2023	—	`conf`	TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks. SIGSPATIAL/GIS Baixiang Huang, Bryan Hooi, Kai Shu
2023	J	`jnl`	TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks. CoRR Baixiang Huang, Bryan Hooi, Kai Shu
2023	J	`jnl`	Time Series Anomaly Detection With Adversarial Reconstruction Networks. IEEE Trans. Knowl. Data Eng. Shenghua Liu, Bin Zhou, Quan Ding, Bryan Hooi, Zhengbo Zhang, Huawei Shen, Xueqi Cheng
2023	J	`jnl`	Towards A Unified View of Answer Calibration for Multi-Step Reasoning. CoRR Shumin Deng, Ningyu Zhang, Nay Oo, Bryan Hooi
2023	A*	`conf`	Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering. ICML Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi
2023	J	`jnl`	Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering. CoRR Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi
2023	J	`jnl`	Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness. CoRR Ailin Deng, Shen Li, Miao Xiong, Zhirui Chen, Bryan Hooi
2023	J	`jnl`	UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting. CoRR Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann
2023	J	`jnl`	Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulator to Enhance Dialogue System. CoRR Zhiyuan Hu, Yue Feng, Anh Tuan Luu, Bryan Hooi, Aldo Lipani
2023	A	`conf`	Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulators to Enhance Dialogue System. CIKM Zhiyuan Hu, Yue Feng, Anh Tuan Luu, Bryan Hooi, Aldo Lipani
2022	J	`jnl`	A Generalization of ViT/MLP-Mixer to Graphs. CoRR Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson
2022	—	`conf`	ARES: Locally Adaptive Reconstruction-Based Anomaly Scoring. ECML/PKDD (1) Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng
2022	J	`jnl`	ARES: Locally Adaptive Reconstruction-based Anomaly Scoring. CoRR Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng
2022	J	`jnl`	Autonomous graph mining algorithm search with best performance trade-off. Knowl. Inf. Syst. Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos
2022	J	`jnl`	Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation. CoRR Miao Xiong, Shen Li, Wenjie Feng, Ailin Deng, Jihai Zhang, Bryan Hooi
2022	J	`jnl`	Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation. Trans. Mach. Learn. Res. Miao Xiong, Shen Li, Wenjie Feng, Ailin Deng, Jihai Zhang, Bryan Hooi
2022	A*	`conf`	CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias. IJCAI Ailin Deng, Adam Goodge, Lang Yi Ang, Bryan Hooi
2022	J	`jnl`	Construction and Applications of Billion-Scale Pre-trained Multimodal Business Knowledge Graph. CoRR Shumin Deng, Chengming Wang, Zhoubo Li, Ningyu Zhang, Zelin Dai, Hehong Chen, Feiyu Xiong, Ming Yan, Qiang Chen, Mosha Chen, Jiaoyan Chen, Jeff Z. Pan, Bryan Hooi, Huajun Chen
2022	—	`conf`	Dangling-Aware Entity Alignment with Mixed High-Order Proximities. NAACL-HLT (Findings) Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen
2022	J	`jnl`	Dangling-Aware Entity Alignment with Mixed High-Order Proximities. CoRR Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen
2022	J	`jnl`	EIGNN: Efficient Infinite-Depth Graph Neural Networks. CoRR Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao
2022	J	`jnl`	Expanding Small-Scale Datasets with Guided Imagination. CoRR Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng
2022	—	`conf`	Flashlight: Scalable Link Prediction With Effective Decoders. LoG Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah
2022	J	`jnl`	Flashlight: Scalable Link Prediction with Effective Decoders. CoRR Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah
2022	J	`jnl`	GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction. CoRR Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi
2022	—	`conf`	GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction. NAACL-HLT (Findings) Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi
2022	A*	`conf`	Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation. SIGIR Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng, Rui Tan
2022	J	`jnl`	Joint Triplet Loss Learning for Next New POI Recommendation. CoRR Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh
2022	—	`conf`	Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction. LoG Kuangqi Zhou, Kaixin Wang, Jian Tang, Jiashi Feng, Bryan Hooi, Peilin Zhao, Tingyang Xu, Xinchao Wang
2022	A*	`conf`	LPGNet: Link Private Graph Networks for Node Classification. CCS Aashish Kolluri, Teodora Baluta, Bryan Hooi, Prateek Saxena
2022	J	`jnl`	LPGNet: Link Private Graph Networks for Node Classification. CoRR Aashish Kolluri, Teodora Baluta, Bryan Hooi, Prateek Saxena
2022	—	`conf`	LSCALE: Latent Space Clustering-Based Active Learning for Node Classification. ECML/PKDD (1) Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao
2022	A*	`conf`	LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks. AAAI Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng
2022	A*	`conf`	MGNNI: Multiscale Graph Neural Networks with Implicit Layers. NeurIPS Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao
2022	J	`jnl`	MGNNI: Multiscale Graph Neural Networks with Implicit Layers. CoRR Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao
2022	A*	`conf`	MemStream: Memory-Based Streaming Anomaly Detection. WWW Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi
2022	A	`conf`	MonLAD: Money Laundering Agents Detection in Transaction Streams. WSDM Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng
2022	J	`jnl`	MonLAD: Money Laundering Agents Detection in Transaction Streams. CoRR Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng
2022	A*	`conf`	Neural PCA for Flow-Based Representation Learning. IJCAI Shen Li, Bryan Hooi
2022	J	`jnl`	Neural PCA for Flow-Based Representation Learning. CoRR Shen Li, Bryan Hooi
2022	—	`conf`	Probing Spurious Correlations in Popular Event-Based Rumor Detection Benchmarks. ECML/PKDD (2) Jiaying Wu, Bryan Hooi
2022	J	`jnl`	Probing Spurious Correlations in Popular Event-Based Rumor Detection Benchmarks. CoRR Jiaying Wu, Bryan Hooi
2022	J	`jnl`	Reachability-Aware Laplacian Representation in Reinforcement Learning. CoRR Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang
2022	J	`jnl`	Real-Time Anomaly Detection in Edge Streams. ACM Trans. Knowl. Discov. Data Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos
2022	A*	`conf`	Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition. NeurIPS Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng
2022	—	`conf`	Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. NAACL-HLT Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi
2022	J	`jnl`	Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. CoRR Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi
2022	J	`jnl`	Spade: A Real-Time Fraud Detection Framework on Evolving Graphs (Complete Version). CoRR Jiaxin Jiang, Yuan Li, Bingsheng He, Bryan Hooi, Jia Chen, Johan Kok Zhi Kang
2022	J	`jnl`	Spade: A Real-Time Fraud Detection Framework on Evolving Graphs. Proc. VLDB Endow. Jiaxin Jiang, Yuan Li, Bingsheng He, Bryan Hooi, Jia Chen, Johan Kok Zhi Kang
2022	A*	`conf`	The Geometry of Robust Value Functions. ICML Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor
2022	J	`jnl`	The Geometry of Robust Value Functions. CoRR Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor
2022	B	`conf`	Time-Aware Neighbor Sampling on Temporal Graphs. IJCNN Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi
2022	—	`conf`	Trust, but Verify: Using Self-supervised Probing to Improve Trustworthiness. ECCV (13) Ailin Deng, Shen Li, Miao Xiong, Zhirui Chen, Bryan Hooi
2022	—	`conf`	When do contrastive learning signals help spatio-temporal graph forecasting? SIGSPATIAL/GIS Xu Liu, Yuxuan Liang, Chao Huang, Yu Zheng, Bryan Hooi, Roger Zimmermann
2021	A*	`conf`	Adaptive Data Augmentation on Temporal Graphs. NeurIPS Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Siddharth Bhatia, Bryan Hooi
2021	J	`jnl`	Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series. CoRR Shubhranshu Shekhar, Dhivya Eswaran, Bryan Hooi, Jonathan Elmer, Christos Faloutsos, Leman Akoglu
2021	A*	`conf`	CurGraph: Curriculum Learning for Graph Classification. WWW Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi
2021	J	`jnl`	Deep Long-Tailed Learning: A Survey. CoRR Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng
2021	A*	`conf`	EIGNN: Efficient Infinite-Depth Graph Neural Networks. NeurIPS Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao
2021	J	`jnl`	EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection. Future Gener. Comput. Syst. Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng
2021	A*	`conf`	ExGAN: Adversarial Generation of Extreme Samples. AAAI Siddharth Bhatia, Arjit Jain, Bryan Hooi
2021	A*	`conf`	Graph Neural Network-Based Anomaly Detection in Multivariate Time Series. AAAI Ailin Deng, Bryan Hooi
2021	J	`jnl`	Graph Neural Network-Based Anomaly Detection in Multivariate Time Series. CoRR Ailin Deng, Bryan Hooi
2021	—	`conf`	GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs. ECML/PKDD (2) Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty
2021	J	`jnl`	GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs. CoRR Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty
2021	J	`jnl`	Isconna: Streaming Anomaly Detection with Frequency and Patterns. CoRR Rui Liu, Siddharth Bhatia, Bryan Hooi
2021	J	`jnl`	LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks. CoRR Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng
2021	A*	`conf`	MStream: Fast Anomaly Detection in Multi-Aspect Streams. WWW Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi
2021	J	`jnl`	MemStream: Memory-Based Anomaly Detection in Multi-Aspect Streams with Concept Drift. CoRR Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi
2021	A*	`conf`	Mixup for Node and Graph Classification. WWW Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi
2021	A*	`conf`	ODD: Outlier Detection and Description. KDD Siddharth Bhatia, Bryan Hooi, Leman Akoglu, Sourav Chatterjee, Xiaodong Jiang, Manish Gupta
2021	A	`conf`	Origin-Aware Next Destination Recommendation with Personalized Preference Attention. WSDM Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Rui Tan
2021	—	`conf`	PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration. SIGMOD Conference Shixuan Sun, Yuhang Chen, Bingsheng He, Bryan Hooi
2021	J	`jnl`	PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration. CoRR Shixuan Sun, Yuhang Chen, Bingsheng He, Bryan Hooi
2021	J	`jnl`	Probabilistic Contrastive Loss for Self-Supervised Learning. CoRR Shen Li, Jianqing Xu, Bryan Hooi
2021	—	`conf`	Robust and Task-Aware Training of Deep Residual Networks for Varying-Lead ECG Classification. CinC Hansheng Ren, Miao Xiong, Bryan Hooi
2021	A*	`conf`	SSMF: Shifting Seasonal Matrix Factorization. NeurIPS Koki Kawabata, Siddharth Bhatia, Rui Liu, Mohit Wadhwa, Bryan Hooi
2021	J	`jnl`	SSMF: Shifting Seasonal Matrix Factorization. CoRR Koki Kawabata, Siddharth Bhatia, Rui Liu, Mohit Wadhwa, Bryan Hooi
2021	J	`jnl`	Sketch-Based Streaming Anomaly Detection in Dynamic Graphs. CoRR Siddharth Bhatia, Mohit Wadhwa, Philip S. Yu, Bryan Hooi
2021	J	`jnl`	Spatio-Temporal Graph Contrastive Learning. CoRR Xu Liu, Yuxuan Liang, Yu Zheng, Bryan Hooi, Roger Zimmermann
2021	A*	`conf`	Spherical Confidence Learning for Face Recognition. CVPR Shen Li, Jianqing Xu, Xiaqing Xu, Pengcheng Shen, Shaoxin Li, Bryan Hooi
2021	J	`jnl`	Structure-Aware Label Smoothing for Graph Neural Networks. CoRR Yiwei Wang, Yujun Cai, Yuxuan Liang, Wei Wang, Henghui Ding, Muhao Chen, Jing Tang, Bryan Hooi
2021	J	`jnl`	Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision. CoRR Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng
2021	J	`jnl`	Time-Aware Neighbor Sampling for Temporal Graph Networks. CoRR Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi
2021	A*	`conf`	Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. ICML Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng
2021	J	`jnl`	Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. CoRR Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng
2021	A	`conf`	Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks. CIKM Kuangqi Zhou, Yanfei Dong, Kaixin Wang, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng
2021	A*	`conf`	Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. NeurIPS Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng
2021	J	`jnl`	Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. CoRR Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng
2020	J	`jnl`	Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes. CoRR Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao
2020	A*	`conf`	Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off. ICDM Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos
2020	J	`jnl`	Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off. CoRR Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos
2020	A	`conf`	Detecting Implementation Bugs in Graph Convolutional Network based Node Classifiers. ISSRE Yiwei Wang, Wei Wang, Yujun Cai, Bryan Hooi, Beng Chin Ooi
2020	J	`jnl`	Dynamic Graph-Based Anomaly Detection in the Electrical Grid. CoRR Shimiao Li, Amritanshu Pandey, Bryan Hooi, Christos Faloutsos, Larry T. Pileggi
2020	J	`jnl`	Effective Training Strategies for Deep Graph Neural Networks. CoRR Kuangqi Zhou, Yanfei Dong, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng
2020	J	`jnl`	ExGAN: Adversarial Generation of Extreme Samples. CoRR Siddharth Bhatia, Arjit Jain, Bryan Hooi
2020	J	`jnl`	Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach. CoRR Minji Yoon, Bryan Hooi, Kijung Shin, Christos Faloutsos
2020	J	`jnl`	Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams. ACM Trans. Knowl. Discov. Data Kijung Shin, Sejoon Oh, Jisu Kim, Bryan Hooi, Christos Faloutsos
2020	A*	`conf`	FlowScope: Spotting Money Laundering Based on Graphs. AAAI Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng
2020	J	`jnl`	GraphCrop: Subgraph Cropping for Graph Classification. CoRR Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi
2020	A*	`conf`	Identifying through Flows for Recovering Latent Representations. ICLR Shen Li, Bryan Hooi, Gim Hee Lee
2020	J	`jnl`	MStream: Fast Streaming Multi-Aspect Group Anomaly Detection. CoRR Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi
2020	A*	`conf`	Midas: Microcluster-Based Detector of Anomalies in Edge Streams. AAAI Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos
2020	A*	`conf`	NodeAug: Semi-Supervised Node Classification with Data Augmentation. KDD Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Juncheng Liu, Bryan Hooi
2020	J	`jnl`	Origin-Aware Next Destination Recommendation with Personalized Preference Attention. CoRR Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Rui Tan
2020	—	`conf`	Progressive Supervision for Node Classification. ECML/PKDD (1) Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi
2020	A*	`conf`	Provably Robust Node Classification via Low-Pass Message Passing. ICDM Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, Christos Faloutsos, Bryan Hooi
2020	J	`jnl`	Real-Time Streaming Anomaly Detection in Dynamic Graphs. CoRR Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos
2020	A*	`conf`	Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact. IJCAI Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng
2020	J	`jnl`	SHADOWCAST: Controlling Network Properties to Explain Graph Generation. CoRR Wesley Joon-Wie Tann, Ee-Chien Chang, Bryan Hooi
2020	A	`conf`	STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation. CIKM Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Jagannadan Varadarajan
2020	J	`jnl`	STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation. CoRR Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Jagannadan Varadarajan
2020	A*	`conf`	Structural Patterns and Generative Models of Real-world Hypergraphs. KDD Manh Tuan Do, Se-eun Yoon, Bryan Hooi, Kijung Shin
2020	J	`jnl`	Structural Patterns and Generative Models of Real-world Hypergraphs. CoRR Manh Tuan Do, Se-eun Yoon, Bryan Hooi, Kijung Shin
2020	A*	`conf`	TellTail: Fast Scoring and Detection of Dense Subgraphs. AAAI Bryan Hooi, Kijung Shin, Hemank Lamba, Christos Faloutsos
2019	J	`jnl`	A Contrast Metric for Fraud Detection in Rich Graphs. IEEE Trans. Knowl. Data Eng. Shenghua Liu, Bryan Hooi, Christos Faloutsos
2019	—	`—`	Anomaly Detection in Graphs and Time Series: Algorithms and Applications. Bryan Hooi
2019	A*	`conf`	BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series. IJCAI Bin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, Jing Ye
2019	—	`conf`	Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection. PAKDD (1) Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng
2019	A	`conf`	Branch and Border: Partition-Based Change Detection in Multivariate Time Series. SDM Bryan Hooi, Christos Faloutsos
2019	A*	`conf`	Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach. KDD Minji Yoon, Bryan Hooi, Kijung Shin, Christos Faloutsos
2019	J	`jnl`	Identifying through Flows for Recovering Latent Representations. CoRR Shen Li, Bryan Hooi, Gim Hee Lee
2019	J	`jnl`	Impact of Load Models on Power Flow Optimization. CoRR Marko Jereminov, Bryan Hooi, Amritanshu Pandey, Hyun Ah Song, Christos Faloutsos, Lawrence T. Pileggi
2019	J	`jnl`	MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams. CoRR Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos
2019	A	`conf`	SMF: Drift-Aware Matrix Factorization with Seasonal Patterns. SDM Bryan Hooi, Kijung Shin, Shenghua Liu, Christos Faloutsos
2018	A	`conf`	ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph. CIKM Bryan Hooi, Leman Akoglu, Dhivya Eswaran, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos
2018	J	`jnl`	Fast, Accurate, and Flexible Algorithms for Dense Subtensor Mining. ACM Trans. Knowl. Discov. Data Kijung Shin, Bryan Hooi, Christos Faloutsos
2018	—	`conf`	GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid. ECML/PKDD (1) Bryan Hooi, Dhivya Eswaran, Hyun Ah Song, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos
2018	A*	`conf`	NeuCast: Seasonal Neural Forecast of Power Grid Time Series. IJCAI Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng
2018	—	`conf`	ONE-M: Modeling the Co-evolution of Opinions and Network Connections. ECML/PKDD (2) Aastha Nigam, Kijung Shin, Ashwin Bahulkar, Bryan Hooi, David Hachen, Boleslaw K. Szymanski, Christos Faloutsos, Nitesh V. Chawla
2018	J	`jnl`	Out-of-Core and Distributed Algorithms for Dense Subtensor Mining. CoRR Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos
2018	A	`conf`	REV2: Fraudulent User Prediction in Rating Platforms. WSDM Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, V. S. Subrahmanian
2018	A	`conf`	StreamCast: Fast and Online Mining of Power Grid Time Sequences. SDM Bryan Hooi, Hyun Ah Song, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos
2018	—	`conf`	Think Before You Discard: Accurate Triangle Counting in Graph Streams with Deletions. ECML/PKDD (2) Kijung Shin, Jisu Kim, Bryan Hooi, Christos Faloutsos
2017	A*	`conf`	AutoCyclone: Automatic Mining of Cyclic Online Activities with Robust Tensor Factorization. WWW Tsubasa Takahashi, Bryan Hooi, Christos Faloutsos
2017	—	`conf`	BeatLex: Summarizing and Forecasting Time Series with Patterns. ECML/PKDD (2) Bryan Hooi, Shenghua Liu, Asim Smailagic, Christos Faloutsos
2017	A	`conf`	D-Cube: Dense-Block Detection in Terabyte-Scale Tensors. WSDM Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos
2017	A*	`conf`	DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams. KDD Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos
2017	J	`jnl`	DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams. CoRR Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos
2017	J	`jnl`	EagleMine: Vision-Guided Mining in Large Graphs. CoRR Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng
2017	C	`conf`	EyeQual: Accurate, Explainable, Retinal Image Quality Assessment. ICMLA Pedro Costa, Aurélio J. C. Campilho, Bryan Hooi, Asim Smailagic, Kris Kitani, Shenghua Liu, Christos Faloutsos, Adrian Galdran
2017	J	`jnl`	FairJudge: Trustworthy User Prediction in Rating Platforms. CoRR Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, V. S. Subrahmanian
2017	J	`jnl`	Graph-Based Fraud Detection in the Face of Camouflage. ACM Trans. Knowl. Discov. Data Bryan Hooi, Kijung Shin, Hyun Ah Song, Alex Beutel, Neil Shah, Christos Faloutsos
2017	A	`conf`	HoloScope: Topology-and-Spike Aware Fraud Detection. CIKM Shenghua Liu, Bryan Hooi, Christos Faloutsos
2017	J	`jnl`	HoloScope: Topology-and-Spike Aware Fraud Detection. CoRR Shenghua Liu, Bryan Hooi, Christos Faloutsos
2017	—	`conf`	Linear load model for robust power system analysis. ISGT Europe Marko Jereminov, Amritanshu Pandey, Hyun Ah Song, Bryan Hooi, Christos Faloutsos, Larry T. Pileggi
2017	—	`conf`	PowerCast: Mining and Forecasting Power Grid Sequences. ECML/PKDD (2) Hyun Ah Song, Bryan Hooi, Marko Jereminov, Amritanshu Pandey, Larry T. Pileggi, Christos Faloutsos
2017	—	`conf`	The Message or the Messenger? Inferring Virality and Diffusion Structure from Online Petition Signature Data. SocInfo (1) Chi Ling Chan, Justin Lai, Bryan Hooi, Todd Davies
2017	J	`jnl`	The Message or the Messenger? Inferring Virality and Diffusion Structure from Online Petition Signature Data. CoRR Chi Ling Chan, Justin Lai, Bryan Hooi, Todd Davies
2017	—	`conf`	zooRank: Ranking Suspicious Entities in Time-Evolving Tensors. ECML/PKDD (1) Hemank Lamba, Bryan Hooi, Kijung Shin, Christos Faloutsos, Jürgen Pfeffer
2016	A	`conf`	BIRDNEST: Bayesian Inference for Ratings-Fraud Detection. SDM Bryan Hooi, Neil Shah, Alex Beutel, Stephan Günnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, Christos Faloutsos
2016	—	`conf`	EdgeCentric: Anomaly Detection in Edge-Attributed Networks. ICDM Workshops Neil Shah, Alex Beutel, Bryan Hooi, Leman Akoglu, Stephan Günnemann, Disha Makhija, Mohit Kumar, Christos Faloutsos
2016	A*	`conf`	FRAUDAR: Bounding Graph Fraud in the Face of Camouflage. KDD Bryan Hooi, Hyun Ah Song, Alex Beutel, Neil Shah, Kijung Shin, Christos Faloutsos
2016	—	`conf`	M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees. ECML/PKDD (1) Kijung Shin, Bryan Hooi, Christos Faloutsos
2016	—	`conf`	Matrices, Compression, Learning Curves: Formulation, and the GroupNteach Algorithms. PAKDD (2) Bryan Hooi, Hyun Ah Song, Evangelos E. Papalexakis, Rakesh Agrawal, Christos Faloutsos
2016	J	`jnl`	Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms. IEEE Trans. Knowl. Data Eng. Meng Jiang, Alex Beutel, Peng Cui, Bryan Hooi, Shiqiang Yang, Christos Faloutsos
2015	A*	`conf`	A General Suspiciousness Metric for Dense Blocks in Multimodal Data. ICDM Meng Jiang, Alex Beutel, Peng Cui, Bryan Hooi, Shiqiang Yang, Christos Faloutsos
2015	J	`jnl`	BIRDNEST: Bayesian Inference for Ratings-Fraud Detection. CoRR Bryan Hooi, Neil Shah, Alex Beutel, Stephan Günnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, Christos Faloutsos
2015	J	`jnl`	EdgeCentric: Anomaly Detection in Edge-Attributed Networks. CoRR Neil Shah, Alex Beutel, Bryan Hooi, Leman Akoglu, Stephan Günnemann, Disha Makhija, Mohit Kumar, Christos Faloutsos
2015	—	`conf`	Education, Learning and Information Theory. ICDM Workshops Bryan Hooi, Hyun Ah Song, Evangelos E. Papalexakis, Rakesh Agrawal, Christos Faloutsos