Bryan Hooi · National University of Singapore

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Academic lineage

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Students and postdocs15

Sara Bakic
PhD student · until 2026 · National University of Singapore
From a thesis record ↗
He Yufei
PhD student · until 2026 · National University of Singapore
From a thesis record ↗
Xiaoxin He
PhD student · until 2025 · National University of Singapore
From a thesis record ↗
Yuan Li
PhD student · until 2025 · National University of Singapore
From a thesis record ↗
Deng Ailin
PhD student · until 2025 · National University of Singapore
From a thesis record ↗
Wu Jiaying
PhD student · until 2024 · National University of Singapore
From a thesis record ↗
Miao Xiong
PhD student · until 2024 · National University of Singapore
From a thesis record ↗
Zhang Yifan
PhD student · until 2024 · National University of Singapore
From a thesis record ↗

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Kaixin Wang
PhD student · until 2022 · National University of Singapore
From a thesis record ↗
Siddharth Bhatia
PhD student · until 2022 · National University of Singapore
From a thesis record ↗
Adam David Goodge
PhD student · until 2022 · National University of Singapore
From a thesis record ↗
Lim Xiang Hui Nicholas
PhD student · until 2022 · National University of Singapore
From a thesis record ↗
Zhou Kuangqi
PhD student · until 2022 · National University of Singapore
From a thesis record ↗
Wang Yiwei
PhD student · until 2022 · National University of Singapore
From a thesis record ↗
Shen Li
PhD student · until 2022 · National University of Singapore
From a thesis record ↗

Works240 from public data

TitleCited by

Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Ailin Deng, Bryan Hooi
Proceedings of the AAAI Conference on Artificial Intelligence · 2021
1,589
Deep Long-Tailed Learning: A Survey
Yi-Fan Zhang, Bingyi Kang, Bryan Hooi, Shui-Cheng Yan, Jiashi Feng
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2023
1,013
REV2
Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, C. Faloutsos, V. Subrahmanian
ACM International Conference on Web Search and Data Mining (WSDM) · 2018
469
FRAUDAR
Bryan Hooi, H. Song, Alex Beutel, Neil Shah, Kijung Shin, C. Faloutsos
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 2016
409
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series
Bin Zhou, Shenghua Liu, Bryan Hooi, Xue-Qi Cheng, Jing Ye
International Joint Conference on Artificial Intelligence · 2019
388
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann
ACM Web Conference (WWW) · 2024
261
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting
Xu Liu, Yu-Tong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chaoqin Huang, Zhenguang Liu, +2 more
arXiv · 2023
244
Mixup for Node and Graph Classification
Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi
Proceedings of the Web Conference 2021 · 2021
243
Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks
Jia-Ying Wu, Jia-Feng Guo, Bryan Hooi
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2024
184
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
Adam Goodge, Bryan Hooi, S. Ng, Wee Siong Ng
Proceedings of the AAAI Conference on Artificial Intelligence · 2022
171
NodeAug: Semi-Supervised Node Classification with Data Augmentation
Yiwei Wang, Wei Wang, Yuxuan Liang, Yu-Jun Cai, Juncheng Liu, Bryan Hooi
ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · 2020
160
A Generalization of ViT/MLP-Mixer to Graphs
Xiao-Xin He, Bryan Hooi, T. Laurent, Adam Perold, Yann LeCun, X. Bresson
arXiv · 2022
152
FlowScope: Spotting Money Laundering Based on Graphs
Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xue-Qi Cheng
Proceedings of the AAAI Conference on Artificial Intelligence · 2020
151
Midas: Microcluster-Based Detector of Anomalies in Edge Streams
Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, C. Faloutsos
AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) · 2020
127
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection
Bryan Hooi, Neil Shah, Alex Beutel, Stephan Günnemann, L. Akoglu, Mohit Kumar, Disha Makhija, C. Faloutsos
SIAM International Conference on Data Mining · 2016
127
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design
Zhi Zheng, Zhuo-Liang Xie, Zhen-Kun Wang, Bryan Hooi
arXiv · 2025
126
Time Series Anomaly Detection With Adversarial Reconstruction Networks
Sheng-Hua Liu, Bin Zhou, Quan-Xin Ding, Bryan Hooi, Zheng-Bo Zhang, Hua-Wei Shen, Xue-Qi Cheng
IEEE Transactions on Knowledge and Data Engineering · 2022
126
Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks
Kuang-Qi Zhou, Yanfei Dong, Kaixin Wang, Wee-Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng
Proceedings of the ... ACM International Conference on Information & Knowledge Management · 2021
114
GuardReasoner: Towards Reasoning-based LLM Safeguards
Yue Liu, Hongcheng Gao, Sheng-Fang Zhai, Jun Xia, Tian-Yi Wu, Zhiwei Xue, Yulin Chen, Kenji Kawaguchi, +2 more
arXiv · 2025
105
Words or Vision: Do Vision-Language Models Have Blind Faith in Text?
Ailin Deng, C. Trinh, Zhi-Rui Chen, Bryan Hooi
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2025
103
When do contrastive learning signals help spatio-temporal graph forecasting?
Xu Liu, Yuxuan Liang, Chao Huang, Yu Zheng, Bryan Hooi, Roger Zimmermann
ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS) · 2022
100
Graph-Based Fraud Detection in the Face of Camouflage
Bryan Hooi, Kijung Shin, H. Song, Alex Beutel, Neil Shah, C. Faloutsos
ACM Transactions on Knowledge Discovery from Data · 2017
97
M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees
Kijung Shin, Bryan Hooi, C. Faloutsos
Lecture notes in computer science · 2016
96
Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation
N. Lim, Bryan Hooi, S. Ng, Y. Goh, Renrong Weng, Rui Tan
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 2022
94
A General Suspiciousness Metric for Dense Blocks in Multimodal Data
Meng Jiang, Alex Beutel, Peng Cui, Bryan Hooi, Shi-Qiang Yang, C. Faloutsos
Proceedings · 2015
94
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach
Minji Yoon, Bryan Hooi, Kijung Shin, C. Faloutsos
ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · 2019
93
HoloScope: Topology-and-Spike Aware Fraud Detection
Shenghua Liu, Bryan Hooi, Christos Faloutsos
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management · 2017
93
KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection
Yue-Xin Li, Chengyu Huang, Shu-Min Deng, Mei Lin Lock, C. Trinh, Nay Oo, Bryan Hooi, H. Lim
arXiv · 2024
92
JudgeLRM: Large Reasoning Models as a Judge
Nuo Chen, Zhiyuan Hu, Qing-Yun Zou, Jia-Ying Wu, Qian Wang, Bryan Hooi, Bingsheng He
arXiv · 2025
90
FlipAttack: Jailbreak LLMs via Flipping
Yue Liu, Xiao-Xin He, Miao Xiong, Jin-Lan Fu, Shu-Min Deng, Ying-Wei Ma, Jia-Heng Zhang, Bryan Hooi
arXiv · 2024
89
Expanding Small-Scale Datasets with Guided Imagination
Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng
arXiv · 2022
84
UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs
Yu-Fei He, Yuan Sui, Xiao-Xin He, Bryan Hooi
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2025
82
Spherical Confidence Learning for Face Recognition
Shen Li, Jianqing Xu, Xiaqing Xu, Pengcheng Shen, Shao-Xin Li, Bryan Hooi
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2021
80
DenseAlert
Kijung Shin, Bryan Hooi, Jisu Kim, C. Faloutsos
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 2017
79
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
neural information processing systems · 2024
78
Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact
Adam Goodge, Bryan Hooi, S. Ng, Wee Siong Ng
International Joint Conference on Artificial Intelligence · 2020
75
Partitioning Message Passing for Graph Fraud Detection
Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen
arXiv · 2024
73
Efficient Inference for Large Reasoning Models: A Survey
Yue Liu, Jia-Ying Wu, Yu-Fei He, Rui-Han Gong, Jun Xia, Liang Li, Hongcheng Gao, Hong-Yu Chen, +6 more
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2026
72
D-Cube
Kijung Shin, Bryan Hooi, Jisu Kim, C. Faloutsos
ACM International Conference on Web Search and Data Mining (WSDM) · 2017
72
MStream: Fast Anomaly Detection in Multi-Aspect Streams
Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi
Proceedings of the Web Conference 2021 · 2021
71
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering
Jun Hu, Bryan Hooi, Sheng-Sheng Qian, Quan Fang, Changsheng Xu
IEEE Transactions on Knowledge and Data Engineering · 2024
69
FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering
Yuan Sui, Yu-Fei He, Nian Liu, Xiao-Xin He, Kun Wang, Bryan Hooi
arXiv · 2024
69
UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs
Yufei He, Yuan Sui, Xiaoxin He, Yue Liu, Yifei Sun, Bryan Hooi
Proceedings of the ACM on Web Conference 2025 · 2025
68
ExGAN: Adversarial Generation of Extreme Samples
Siddharth Bhatia, Arjit Jain, Bryan Hooi
Proceedings of the AAAI Conference on Artificial Intelligence · 2021
67
CurGraph: Curriculum Learning for Graph Classification
Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi
Proceedings of the Web Conference 2021 · 2021
65
EdgeCentric: Anomaly Detection in Edge-Attributed Networks
Neil Shah, Alex Beutel, Bryan Hooi, L. Akoglu, Stephan Günnemann, Disha Makhija, Mohit Kumar, C. Faloutsos
IEEE ... International Conference on Data Mining workshops · 2016
65
Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation
Jun Hu, Bryan Hooi, Bingsheng He, Yinwei Wei
Proceedings of the AAAI Conference on Artificial Intelligence · 2025
60
Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulators to Enhance Dialogue System
Zhiyuan Hu, Yue Feng, A. Lưu, Bryan Hooi, Aldo Lipani
ACM International Conference on Information and Knowledge Management (CIKM) · 2023
60
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition
arXiv · 2021
55
Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms
Meng Jiang, Alex Beutel, Peng Cui, Bryan Hooi, Shi-Qiang Yang, C. Faloutsos
IEEE Transactions on Knowledge and Data Engineering · 2016
52
Dynamic Graph-Based Anomaly Detection in the Electrical Grid
Shi-Miao Li, Amritanshu Pandey, Bryan Hooi, C. Faloutsos, Lawrence T. Pileggi
IEEE Transactions on Power Systems · 2021
50
DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection
Jia-Ying Wu, Bryan Hooi
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2023
49
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
Zemin Liu, Yuan N. Li, Nan-Fang Chen, Qian Wang, Bryan Hooi, Bin He
IEEE Transactions on Knowledge and Data Engineering · 2025
47
VPI-Bench: Visual Prompt Injection Attacks for Computer-Use Agents
C. Trinh, Bennett Lim, Yue Liu, Yuan Sui, Yue-Xin Li, Shu-Min Deng, Lin Lu, Nay Oo, +2 more
arXiv · 2025
47
Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View
Jintian Zhang, Xin Xu, Ningyu Zhang, Ruibo Liu, Bryan Hooi, Shu-Min Deng
Annual Meeting of the Association for Computational Linguistics (ACL) · 2024
46
Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams
Kijung Shin, Sejoon Oh, Jisu Kim, Bryan Hooi, C. Faloutsos
ACM Transactions on Knowledge Discovery from Data · 2020
45
Sketch-Based Anomaly Detection in Streaming Graphs
Siddharth Bhatia, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip S. Yu, Bryan Hooi
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2023
44
Efficient Heterogeneous Graph Learning via Random Projection
Jun Hu, Bryan Hooi, Bingsheng He
IEEE Transactions on Knowledge and Data Engineering · 2024
42
MemStream: Memory-Based Streaming Anomaly Detection
Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi
ACM Web Conference (WWW) · 2022
42
MonLAD
Xiaobing Sun, Wenjie Feng, Sheng-Hua Liu, Yu-Yang Xie, Siddharth Bhatia, Bryan Hooi, Wen-Han Wang, Xue-Qi Cheng
ACM International Conference on Web Search and Data Mining (WSDM) · 2022
40
LPGNet
Aashish Kolluri, T. Baluta, Bryan Hooi, Prateek Saxena
ACM SIGSAC Conference on Computer and Communications Security (CCS) · 2022
40
A Contrast Metric for Fraud Detection in Rich Graphs
Shenghua Liu, Bryan Hooi, C. Faloutsos
IEEE Transactions on Knowledge and Data Engineering · 2018
39
NeuCast: Seasonal Neural Forecast of Power Grid Time Series
Pu Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xue-Qi Cheng
International Joint Conference on Artificial Intelligence · 2018
38
CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs
Jin-Lan Fu, Shenzhen Huangfu, Hao Fei, Xiao-Yu Shen, Bryan Hooi, Xipeng Qiu, See-Kiong Ng
arXiv · 2025
37
Real-Time Anomaly Detection in Edge Streams
Siddharth Bhatia, R. Liu, Bryan Hooi, Minji Yoon, Kijung Shin, C. Faloutsos
ACM Transactions on Knowledge Discovery from Data · 2022
37
MGNNI: Multiscale Graph Neural Networks with Implicit Layers
Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, X. Xiao
arXiv · 2022
36
Spade
Jiaxin Jiang, Yuan Li, Bin He, Bryan Hooi, Jia Chen, Johan Kok Zhi Kang
Proceedings of the VLDB Endowment · 2022
36
ID$^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition
Jianqing Xu, Shen Li, Jia-Ying Wu, Miao Xiong, Ailin Deng, Jia-Bao Ji, Y. Huang, Guo-Dong Mu, +3 more
arXiv · 2024
34
Do We Really Need Graph Neural Networks for Traffic Forecasting?
Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann
arXiv · 2023
34
Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision
arXiv · 2021
34
Effective Training Strategies for Deep Graph Neural Networks.
Kuang-Qi Zhou, Yanfei Dong, Wee S. Lee, Bryan Hooi, Huan Xu, Jiashi Feng
arXiv · 2020
34
PowerCast: Mining and Forecasting Power Grid Sequences
H. Song, Bryan Hooi, Marko Jereminov, Amritanshu Pandey, Lawrence T. Pileggi, C. Faloutsos
Lecture notes in computer science · 2017
34
Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals?
Yu-Fei He, Yue-Xin Li, Jia-Ying Wu, Yuan Sui, Yulin Chen, Bryan Hooi
arXiv · 2025
33
Multimodal Large Language Models for Phishing Webpage Detection and Identification
Jehyun Lee, Peiyuan Lim, Bryan Hooi, Dinil Mon Divakaran
APWG Symposium on Electronic Crime Research (eCrime) · 2024
33
Multimodal Graph Learning for Generative Tasks
Minji Yoon, Jing Yu Koh, Bryan Hooi, R. Salakhutdinov
arXiv · 2023
32
Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection
Jia-Ying Wu, Shen Li, Ailin Deng, Miao Xiong, Bryan Hooi
ACM International Conference on Information and Knowledge Management (CIKM) · 2023
32
Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph
Shumin Deng, Cheng-Ming Wang, Zhou-Bo Li, Ningyu Zhang, Zelin Dai, Hehong Chen, Feiyu Xiong, Ming Yan, +6 more
Proceedings - International Conference on Data Engineering · 2023
31
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning
arXiv · 2021
31
Proximity-Informed Calibration for Deep Neural Networks
Miao Xiong, Ailin Deng, Pang Wei Koh, Jia-Ying Wu, Shen Li, Jianqing Xu, Bryan Hooi
arXiv · 2023
30
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 2022
29
Fast, Accurate, and Flexible Algorithms for Dense Subtensor Mining
Kijung Shin, Bryan Hooi, C. Faloutsos
ACM Transactions on Knowledge Discovery from Data · 2018
29
Information Extraction in Low-Resource Scenarios: Survey and Perspective
Shumin Deng, Yubo Ma, Ningyu Zhang, Yi-Xin Cao, Bryan Hooi
IEEE International Conference on Knowledge Graph (ICKG) · 2024
28
PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration
Shixuan Sun, Yuhang Chen, Bing-Sheng He, Bryan Hooi
Proceedings - ACM-SIGMOD International Conference on Management of Data · 2021
28
EyeQual: Accurate, Explainable, Retinal Image Quality Assessment
P. Costa, A. Campilho, Bryan Hooi, A. Smailagic, Kris Kitani, Shenghua Liu, C. Faloutsos, A. Galdran
IEEE International Conference on Machine Learning and Applications (ICMLA) · 2017
26
BeatLex: Summarizing and Forecasting Time Series with Patterns
Bryan Hooi, Shenghua Liu, A. Smailagic, C. Faloutsos
Lecture notes in computer science · 2017
25
Benefit-aware early prediction of health outcomes on multivariate EEG time series
Shubhranshu Shekhar, D. Eswaran, Bryan Hooi, J. Elmer, C. Faloutsos, L. Akoglu
Journal of Biomedical Informatics · 2023
24
Think Before You Discard: Accurate Triangle Counting in Graph Streams with Deletions
Kijung Shin, Jisu Kim, Bryan Hooi, C. Faloutsos
Lecture notes in computer science · 2019
24
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off
Minji Yoon, Théophile Gervet, Bryan Hooi, C. Faloutsos
Proceedings · 2020
23
Understanding and Resolving Performance Degradation in Graph Convolutional Networks
arXiv · 2020
23
UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting
Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo
arXiv · 2024
21
GraphCrop: Subgraph Cropping for Graph Classification
arXiv · 2020
21
SMF: Drift-Aware Matrix Factorization with Seasonal Patterns
Bryan Hooi, Kijung Shin, Shenghua Liu, C. Faloutsos
Society for Industrial and Applied Mathematics eBooks · 2019
21
Provably Robust Node Classification via Low-Pass Message Passing
Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, C. Faloutsos, Bryan Hooi
Proceedings · 2020
20
PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection
Proceedings of the AAAI Conference on Artificial Intelligence · 2025
18
FiDeLiS: Faithful Reasoning in Large Language Models for Knowledge Graph Question Answering
Yuan Sui, Yufei He, Nian Liu, Xiaoxin He, Kun Wang, Bryan Hooi
Findings of the Association for Computational Linguistics: ACL 2025 · 2025
18
Truth Table Net: Scalable, Compact & Verifiable Neural Networks with a Dual Convolutional Small Boolean Circuit Networks Form
Adrien Benamira, Thomas Peyrin, Trevor Yap, Tristan Guérand, Bryan Hooi
Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence · 2024
18
HiPA: Enabling One-Step Text-to-Image Diffusion Models via High-Frequency-Promoting Adaptation
Yi-Fan Zhang, Bryan Hooi
arXiv · 2023
18
TellTail: Fast Scoring and Detection of Dense Subgraphs
Bryan Hooi, Kijung Shin, Hemank Lamba, C. Faloutsos
Proceedings of the AAAI Conference on Artificial Intelligence · 2020
18
Linear load model for robust power system analysis
Marko Jereminov, Amritanshu Pandey, H. Song, Bryan Hooi, C. Faloutsos, Lawrence T. Pileggi
IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe) · 2017
18
StreamCast: Fast and Online Mining of Power Grid Time Sequences
Bryan Hooi, H. Song, Amritanshu Pandey, Marko Jereminov, Lawrence T. Pileggi, C. Faloutsos
Society for Industrial and Applied Mathematics eBooks · 2018
17
AutoCyclone
Tsubasa Takahashi, Bryan Hooi, C. Faloutsos
International World Wide Web Conference (WWW) · 2017
17
FairJudge: Trustworthy User Prediction in Rating Platforms
arXiv · 2017
16
Defense Against Prompt Injection Attack by Leveraging Attack Techniques
Annual Meeting of the Association for Computational Linguistics (ACL) · 2025
15
Adaptive Data Augmentation on Temporal Graphs
neural information processing systems · 2021
15
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks
Yuwen Li, Miao Xiong, Bryan Hooi
arXiv · 2023
14
GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid
Bryan Hooi, D. Eswaran, H. Song, Amritanshu Pandey, Marko Jereminov, Lawrence T. Pileggi, C. Faloutsos
Lecture notes in computer science · 2019
14
Can Indirect Prompt Injection Attacks Be Detected and Removed?
Annual Meeting of the Association for Computational Linguistics (ACL) · 2025
13
Primacy Effect of ChatGPT
Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2023
13
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement
Ailin Deng, Miao Xiong, Bryan Hooi
arXiv · 2023
13
TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks
Baixiang Huang, Bryan Hooi, Kai Shu
ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL) · 2023
13
Reachability-Aware Laplacian Representation in Reinforcement Learning
Kaixin Wang, Kuang-Qi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang
arXiv · 2022
13
Origin-Aware Next Destination Recommendation with Personalized Preference Attention
N. Lim, Bryan Hooi, S. Ng, Xueou Wang, Y. Goh, Renrong Weng, Rui Tan
ACM International Conference on Web Search and Data Mining (WSDM) · 2021
13
Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals
Zhiyuan Hu, Yue Feng, Yang Deng, Zekun Li, See-Kiong Ng, A. Lưu, Bryan Hooi
arXiv · 2023
12
Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference
Yiwei Wang, Bryan Hooi, Yozen Liu, Neil Shah
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining · 2023
12
Probabilistic Knowledge Distillation of Face Ensembles
Jianqing Xu, Shen Li, Ailin Deng, Miao Xiong, Jia-Ying Wu, Jia-Xiang Wu, Shouhong Ding, Bryan Hooi
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2023
11
Detecting Implementation Bugs in Graph Convolutional Network based Node Classifiers
Yiwei Wang, Wei Wang, Yujun Ca, Bryan Hooi, B. Ooi
IEEE International Symposium on Software Reliability Engineering (ISSRE) · 2020
11
Seeing Through Deception: Uncovering Misleading Creator Intent in Multimodal News with Vision-Language Models
Jia-Ying Wu, Fan-Xiao Li, Zi-Hang Fu, Min-Yen Kan, Bryan Hooi
arXiv · 2025
10
Flashlight: Scalable Link Prediction with Effective Decoders
Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah
arXiv · 2022
10
Branch and Border: Partition-Based Change Detection in Multivariate Time Series
Bryan Hooi, C. Faloutsos
Society for Industrial and Applied Mathematics eBooks · 2019
10
ChangeDAR
Bryan Hooi, L. Akoglu, D. Eswaran, Amritanshu Pandey, Marko Jereminov, Lawrence T. Pileggi, C. Faloutsos
ACM International Conference on Information and Knowledge Management (CIKM) · 2018
10
Automated Phishing Detection Using URLs and Webpages
Huilin Wang, Bryan Hooi
arXiv · 2024
9
PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation
Proceedings of the AAAI Conference on Artificial Intelligence · 2024
9
CapMax: A Framework for Dynamic Network Representation Learning From the View of Multiuser Communication
Chenming Yang, Hui Wen, Bryan Hooi, Liang Zhou
IEEE Transactions on Neural Networks and Learning Systems · 2022
9
Impact of Load Models on Power Flow Optimization
Marko Jereminov, Bryan Hooi, Amritanshu Pandey, H. Song, C. Faloutsos, Lawrence T. Pileggi
IEEE Power & Energy Society General Meeting (PESGM) · 2019
9
Power-Hop: A Pervasive Observation for Real Complex Networks
E. Papalexakis, Bryan Hooi, Konstantinos Pelechrinis, C. Faloutsos
PLoS ONE · 2016
9
Multi-Label Node Classification with Label Influence Propagation
Yifei Sun, Zemin Liu, Bryan Hooi, Yang Yang, Rizal Fathony, Jia Chen, Bingsheng He
arXiv · 2026
8
How to Make Large Language Models Generate 100% Valid Molecules?
Wen Tao, Jing Tang, Alvin Chan, Bryan Hooi, Bao-Long Bi, Nanyun Peng, Yuansheng Liu, Yiwei Wang
arXiv · 2025
8
Efficient Reasoning via Chain of Unconscious Thought
Rui-Han Gong, Yue Liu, Wenjie Qu, Mingzhe Du, Yu-Fei He, Ying-Wei Ma, Yulin Chen, Xiang Liu, +6 more
arXiv · 2025
8
N ode I mport : Imbalanced Node Classification with Node Importance Assessment
Nan Chen, Zemin Liu, Bryan Hooi, Bing-Sheng He, Jun Hu, Jia Chen
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2025
8
ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark
Kang-Wei Liu, Si-Yuan Cheng, Bo Tian, Xiaozhuan Liang, Yu-Yang Yin, Meng Han, Ningyu Zhang, Bryan Hooi, +2 more
arXiv · 2025
8
Spatio-Temporal Foundation Models: Vision, Challenges, and Opportunities
Adam Goodge, Wee Siong Ng, Bryan Hooi, S. Ng
arXiv · 2025
8
LSCALE: Latent Space Clustering-Based Active Learning for Node Classification
Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, X. Xiao
Lecture notes in computer science · 2023
8
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering
Ming-Qi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi
arXiv · 2023
8
EIGNN: Efficient Infinite-Depth Graph Neural Networks
arXiv · 2022
8
GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs
Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty
Lecture notes in computer science · 2021
8
ONE-M: Modeling the Co-evolution of Opinions and Network Connections
Aastha Nigam, Kijung Shin, Ashwin Bahulkar, Bryan Hooi, David S. Hachen, B. Szymanski, C. Faloutsos, N. Chawla
Lecture notes in computer science · 2019
8
zooRank: Ranking Suspicious Entities in Time-Evolving Tensors
Hemank Lamba, Bryan Hooi, Kijung Shin, C. Faloutsos, J. Pfeffer
Lecture notes in computer science · 2017
8
DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams
arXiv · 2017
8
Guiding VLM Agents with Process Rewards at Inference Time for GUI Navigation
Zhiyuan Hu, Shiyun Xiong, Yi-Fan Zhang, See-Kiong Ng, A. Lưu, Bo An, Shuicheng Yan, Bryan Hooi
arXiv · 2025
7
Learning Hierarchical Spatial Tasks with Visiting Relations for Next POI Recommendation
N. Lim, Bryan Hooi, S. Ng, Yong-Liang Goh, Renrong Weng, Rui Tan
ACM Transactions on Recommender Systems · 2023
7
A multi-scale reconstruction method for the anomaly detection in stochastic dynamic networks
Chenming Yang, Hui Wen, Bryan Hooi, Yuehua Wu, Liang Zhou
Neurocomputing · 2022
7
Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation
Miao Xiong, Shen Li, Wenjie Feng, Ailin Deng, Jihai Zhang, Bryan Hooi
arXiv · 2022
7
Spatio-Temporal Graph Contrastive Learning
arXiv · 2021
7
Campolina: a deep neural framework for accurate segmentation of nanopore signals
Sara Bakić, K. Friganović, Bryan Hooi, Mile Šikić
Genome biology · 2026
6
Retrospective Progress-Aware Self-Refinement for LLM Agent Training
Xin-Bei Ma, Cong-Min Zheng, Ji-Yang Qiu, Jia-Le Hong, Yao Yao, Xiang-Mou Qu, Jia-Xin Yin, Xingyu Lou, +6 more
arXiv · 2026
6
EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments
Jundong Xu, Qing-Chuan Li, Jia-Ying Wu, Yi-Huai Lan, S. Li, Hui-Chi Zhou, Bo-Wen Jiang, Lei Wang, +6 more
arXiv · 2026
6
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering
Annual Meeting of the Association for Computational Linguistics (ACL) · 2025
6
Dangling-Aware Entity Alignment with Mixed High-Order Proximities
Findings of the Association for Computational Linguistics: NAACL · 2022
6
CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias
Ailin Deng, Adam Goodge, Yi-Ang Lang, Bryan Hooi
International Joint Conference on Artificial Intelligence · 2022
6
Progressive Supervision for Node Classification
Yiwei Wang, Wei Wang, Yuxuan Liang, Yu-Jun Cai, Bryan Hooi
Lecture notes in computer science · 2021
6
Real-Time Streaming Anomaly Detection in Dynamic Graphs
Siddharth Bhatia, R. Liu, Bryan Hooi, Minji Yoon, Kijung Shin, C. Faloutsos
arXiv · 2020
6
EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection
Wenjie Feng, Sheng-Hua Liu, C. Faloutsos, Bryan Hooi, Hua-Wei Shen, Xue-Qi Cheng
Future Generation Computer Systems · 2020
6
Conversation for Non-verifiable Learning: Self-Evolving LLMs through Meta-Evaluation
Yuan Sui, Bryan Hooi
arXiv · 2026
5
Safety in Large Reasoning Models: A Survey
Cheng Wang, Yue Liu, Baolong Bi, Duzhen Zhang, Zhong-Zhi Li, Yingwei Ma, Yufei He, Shengju Yu, +4 more
Findings of the Association for Computational Linguistics: EMNLP 2025 · 2025
5
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, +1 more
Companion Proceedings of the ACM on Web Conference 2025 · 2025
5
A Comparative Review of Deep Learning Methods for RNA Tertiary Structure Prediction
Ivona Martinović, Tin Vlašić, Yang Li, Bryan Hooi, Yang Zhang, Mile Šikić
bioRxiv (Cold Spring Harbor Laboratory) · 2024
5
Think Carefully and Check Again! Meta-Generation Unlocking LLMs for Low-Resource Cross-Lingual Summarization
Zhe-Cheng Li, Yiwei Wang, Bryan Hooi, Yu-Jun Cai, Naifan Cheung, Nan-Yun Peng, Kai-Wei Chang
arXiv · 2024
5
Trust, but Verify: Using Self-supervised Probing to Improve Trustworthiness
Ailin Deng, Shen Li, Miao Xiong, Zhi-Rui Chen, Bryan Hooi
Lecture notes in computer science · 2022
5
Autonomous graph mining algorithm search with best performance trade-off
Minji Yoon, Théophile Gervet, Bryan Hooi, C. Faloutsos
Knowledge and Information Systems · 2022
5
GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction
Findings of the Association for Computational Linguistics: NAACL · 2022
5
Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes.
Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiao-Kui Xiao
arXiv · 2020
5
The Message or the Messenger? Inferring Virality and Diffusion Structure from Online Petition Signature Data
C. Chan, Justin Lai, Bryan Hooi, Todd R. Davies
Lecture notes in computer science · 2017
5
Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion
Yuan Li, Jun Hu, Jia-Xin Jiang, Bryan Hooi, Bingsheng He
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 2026
4
WebAgentGuard: A Reasoning-Driven Guard Model for Detecting Prompt Injection Attacks in Web Agents
Yulin Chen, C. Trinh, Hao-Ran Li, Yue Liu, Yi-Bo Li, Yu-Fei He, L. Khoi, Yang-Qiu Song, +2 more
arXiv · 2026
4
Geneshift: Impact of different scenario shift on Jailbreaking LLM
Tian-Yi Wu, Zhiwei Xue, Yue Liu, Jia-Heng Zhang, Bryan Hooi, S. Ng
arXiv · 2025
4
ReLearn: Unlearning via Learning for Large Language Models
Annual Meeting of the Association for Computational Linguistics (ACL) · 2025
4
NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification
Jun Hu, Yu-Fei He, Yuan Li, Bryan Hooi, Bingsheng He
arXiv · 2025
4
Reinventing Node-centric Traffic Forecasting for Improved Accuracy and Efficiency
Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann
Lecture notes in computer science · 2024
4
SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres
Annual Meeting of the Association for Computational Linguistics (ACL) · 2023
4
Prompt-Based Zero- and Few-Shot Node Classification: A Multimodal Approach
Yue-Xin Li, Bryan Hooi
arXiv · 2023
4
Robust and Task-Aware Training of Deep Residual Networks for Varying-Lead ECG Classification
Hansheng Ren, Miao Xiong, Bryan Hooi
Computing in cardiology · 2021
4
Detecting Group Anomalies in Tera-Scale Multi-Aspect Data via Dense-Subtensor Mining
Kijung Shin, Bryan Hooi, Jisu Kim, C. Faloutsos
Frontiers in Big Data · 2021
4
Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning
Zhiyuan Hu, Yunhai Hu, Jun-Cheng Liu, S. Li, Yucheng Wang, Zhen Xu, See-Kiong Ng, A. Lưu, +4 more
arXiv · 2026
3
TopicAttack: An Indirect Prompt Injection Attack via Topic Transition
Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2025
3
Fact or Guesswork? Evaluating Large Language Model's Medical Knowledge with Structured One-Hop Judgment
Jiaxi Li, Yiwei Wang, Kai Zhang, Yu-Jun Cai, Bryan Hooi, Nan-Yun Peng, Kai-Wei Chang, Jin Lu
arXiv · 2025
3
$\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition
Ailin Deng, Shouhong Ding, W. Feng, Bryan Hooi, Y. Huang, Jia-Bao Ji, Shen Li, Guo-Dong Mu, +3 more
neural information processing systems · 2024
3
Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding
arXiv · 2024
3
Interrelated Dense Pattern Detection in Multilayer Networks
Wen-Jie Feng, Li Wang, Bryan Hooi, See-Kiong Ng, Sheng-Hua Liu
IEEE Transactions on Knowledge and Data Engineering · 2024
3
Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection
C. Trinh, Minh-Huy Trinh, Ailin Deng, Quoc-Nam Nguyen, Khoa Duong, Ngai-Man Cheung, Bryan Hooi
arXiv · 2024
3
Continuous-time graph directed information maximization for temporal network representation
Chenming Yang, Jingjing Li, Ke Lu, Bryan Hooi, Liang Zhou
Information Sciences · 2023
3
MemStream: Memory-Based Anomaly Detection in Multi-Aspect Streams with Concept Drift.
arXiv · 2021
3
Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection
Wenjie Feng, Shenghua Liu, C. Faloutsos, Bryan Hooi, Hua-Wei Shen, Xue-Qi Cheng
Lecture notes in computer science · 2019
3
Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning
Jun Hu, Shangheng Chen, Yu-Fei He, Yuan Li, Bryan Hooi, Bingsheng He
arXiv · 2025
2
Towards A Unified View of Answer Calibration for Multi-Step Reasoning
Shumin Deng, Ningyu Zhang, Nay Oo, Bryan Hooi
Proceedings of the 2nd Workshop on Natural Language Reasoning and Structured Explanations (@ACL 2024) · 2024
2
How Fragile is Relation Extraction under Entity Replacements?
Conference on Computational Natural Language Learning · 2023
2
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing
arXiv · 2021
2
Structure-Aware Label Smoothing for Graph Neural Networks
arXiv · 2021
2
Sketch-Based Streaming Anomaly Detection in Dynamic Graphs.
arXiv · 2021
2
ODD: Outlier Detection and Description
Siddharth Bhatia, Bryan Hooi, Leman Akoglu, Sourav Chatterjee, Xiaodong Jiang, Manish Gupta
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining · 2021
2
SHADOWCAST: Controllable Graph Generation with Explainability
W. Tann, E. Chang, Bryan Hooi
2021
2
SHADOWCAST: Controlling Network Properties to Explain Graph Generation.
W. Tann, E. Chang, Bryan Hooi
arXiv · 2020
2
SHADOWCAST: Controllable Graph Generation
arXiv · 2020
2
Identifying through Flows for Recovering Latent Representations
arXiv · 2019
2
Matrices, Compression, Learning Curves: Formulation, and the GroupNteach Algorithms
Bryan Hooi, H. Song, E. Papalexakis, R. Agrawal, C. Faloutsos
Lecture notes in computer science · 2016
2
APEX: Autonomous Policy Exploration for Self-Evolving LLM Agents
Yi-Bo Li, Jiashu Yang, Zhihan Zheng, Zhiyuan Hu, Yuan Sui, Shizun Wang, Yu-Fei He, Bryan Hooi
arXiv · 2026
1
Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction
Yulin Chen, Haoran Li, Yuan Sui, Yue Liu, Yufei He, Xiaoling Bai, Chi Fei, Li Yabo, +3 more
Findings of the Association for Computational Linguistics: ACL 2026 · 2026
1
SODA: Out-of-Distribution Detection in Domain-Shifted Point Clouds via Neighborhood Propagation
Adam Goodge, Xun Xu, Bryan Hooi, Wee Siong Ng, Jingyi Liao, Yong-Yi Su, Xulei Yang
arXiv · 2025
1
Backdoor-Powered Prompt Injection Attacks Nullify Defense Methods
Yulin Chen, Haoran Li, Yuan Sui, Yangqiu Song, Bryan Hooi
Findings of the Association for Computational Linguistics: EMNLP 2025 · 2025
1
From Long to Short: LLMs Excel at Trimming Own Reasoning Chains
Wei Han, Geng Zhan, Sicheng Yu, Chen-Yu Wang, Bryan Hooi
arXiv · 2025
1
LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models
Annual Meeting of the Association for Computational Linguistics (ACL) · 2025
1
Automating Steering for Safe Multimodal Large Language Models
Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2025
1
Enhancing Multi-Agent Debate System Performance via Confidence Expression
Zijie Lin, Bryan Hooi
Findings of the Association for Computational Linguistics: EMNLP 2025 · 2025
1
How Does Response Length Affect Long-Form Factuality
James Xu Zhao, Jimmy Z.j. Liu, Bryan Hooi, See-Kiong Ng
Findings of the Association for Computational Linguistics: ACL 2025 · 2025
1
Interrelated Dense Pattern Detection in Multilayer Networks (Extended Abstract)
Wen-Jie Feng, Li Wang, Bryan Hooi, See-Kiong Ng, Shen Liu
Proceedings - International Conference on Data Engineering · 2025
1
GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning
neural information processing systems · 2025
1
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
Lecture notes in computer science · 2024
1
Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-training
arXiv · 2024
1
Probing Spurious Correlations in Popular Event-Based Rumor Detection Benchmarks
Lecture notes in computer science · 2023
1
The Geometry of Robust Value Functions
arXiv · 2022
1
Neural PCA for Flow-Based Representation Learning
Shen Li, Bryan Hooi
International Joint Conference on Artificial Intelligence · 2022
1
Time-Aware Neighbor Sampling on Temporal Graphs
Yiwei Wang, Yu-Jun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi
2022 International Joint Conference on Neural Networks (IJCNN) · 2022
1
Isconna: Streaming Anomaly Detection with Frequency and Patterns
arXiv · 2021
1
${\rm S{\small HADOW}C{\small AST}}$: Controllable Graph Generation
arXiv · 2020
1
Out-of-Core and Distributed Algorithms for Dense Subtensor Mining
Kijung Shin, Bryan Hooi, Jisu Kim, C. Faloutsos
arXiv · 2018
1
LookAhead Tuning: Safer Language Models via Partial Answer Previews
Kangwei Liu, Mengru Wang, Yujie Luo, Lin Yuan, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Jun Zhou, +2 more
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining · 2026
–
Towards Natural Personalization: Evaluating Long-Horizon Preference Following in Personalized User-LLM Interactions
arXiv · 2026
–
Learn2Play Bench: How Well Do LLM Agents Learn from Experience in Unfamiliar Environments?
arXiv · 2026
–
Red-TTT: Test-Time Training for Automated Jailbreaking Large Language Models
arXiv · 2026
–
A Self-Evolving Multi-Agent Framework Defense against LLM Jailbreak Attacks
arXiv · 2026
–
Meta-TTL: Meta-Learning Self-Improvement Policies for Language Agents
arXiv · 2026
–
DRS: Deep Question Reformulation With Structured Output
Zhecheng Li, Yiwei Wang, Bryan Hooi, Yujun Cai, Nanyun Peng, Kai-Wei Chang
Findings of the Association for Computational Linguistics: ACL 2025 · 2025
–
Balancing Truthfulness and Informativeness with Uncertainty-Aware Instruction Fine-Tuning
arXiv · 2025
–
GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning
neural information processing systems · 2025
–
RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design.
PubMed · 2025
–
ConfTuner: Training Large Language Models to Express Their Confidence Verbally
neural information processing systems · 2025
–
MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research
neural information processing systems · 2025
–
Enabling Self-Improving Agents to Learn at Test Time With Human-In-The-Loop Guidance
Conference on Empirical Methods in Natural Language Processing: Industry Track (EMNLP) · 2025
–
The 1st International Workshop on Graph Foundation Models (GFM)
Hai-Tao Mao, Jia-Nan Zhao, Xiao-Xin He, Zhikai Chen, Qian Huang, Zhaocheng Zhu, Jian Tang, Micheal Bronstein, +6 more
ACM Web Conference (WWW) · 2024
–
EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs
He-Wen Wang, Bryan Hooi, Dan He, Juncheng Liu, Xiaokui Xiao
Lecture notes in computer science · 2024
–
ARES: Locally Adaptive Reconstruction-Based Anomaly Scoring
Lecture notes in computer science · 2023
–
Scalable Neural Network Training over Distributed Graphs
Aashish Kolluri, Sarthak Choudhary, Bryan Hooi, Prateek Saxena
arXiv · 2023
–
Spade: A Real-Time Fraud Detection Framework on Evolving Graphs (Complete Version)
arXiv · 2022
–
Joint Triplet Loss Learning for Next New POI Recommendation
N. Lim, Bryan Hooi, S. Ng, Y. Goh
arXiv · 2022
–
LPGNet: Link Private Graph Networks for Node Classification
arXiv · 2022
–
SSMF: Shifting Seasonal Matrix Factorization
arXiv · 2021
–
Probabilistic Contrastive Loss for Self-Supervised Learning
arXiv · 2021
–
Time-Aware Neighbor Sampling for Temporal Graph Networks
arXiv · 2021
–
EagleMine: Vision-Guided Mining in Large Graphs
arXiv · 2017
–
Education, Learning and Information Theory
Bryan Hooi, Hyun Ah Song, Evangelos Papalexakis, Rakesh Agrawal, Christos Faloutsos
2015 IEEE International Conference on Data Mining Workshop (ICDMW) · 2015
–
Tracing Infectious Diseases using Genetic and Spatial Data
Bryan Hooi, S. Holmes
2014
–

Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-10. Citation counts may be lower than on Google Scholar, which indexes more sources.

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