| 2026 | AAAI | Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning. | Jun Hu, Shangheng Chen, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He |
| 2026 | AAAI | NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification. | Jun Hu, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He |
| 2026 | AAAI | DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs. | Yuan Li, Jun Hu, Bryan Hooi, Bingsheng He, Cheng Chen |
| 2026 | ACL | 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, Haozhe Ma, Yangqiu Song, Bryan Hooi |
| 2026 | ACL | Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models. | Zhiyuan Hu, Yibo Wang, Hanze Dong, Yuhui Xu, Amrita Saha, Caiming Xiong, Bryan Hooi, Junnan Li |
| 2026 | ACL | Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs. | Zhiyuan Hu, Yucheng Wang, Yufei He, Jiaying Wu, Yilun Zhao, See-Kiong Ng, Cynthia Breazeal, Anh Tuan Luu, Hae Won Park, Bryan Hooi |
| 2026 | ACL | Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models. | Yuan Sui, Yufei He, Tri Cao, Sophia Simeng Han, Yulin Chen, Bryan Hooi |
| 2026 | SIGIR | Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion. | Yuan Li, Jun Hu, Jiaxin Jiang, Bryan Hooi, Bingsheng He |
| 2026 | WSDM | 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, Bryan Hooi, Shumin Deng |
| 2025 | AAAI | Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation. | Jun Hu, Bryan Hooi, Bingsheng He, Yinwei Wei |
| 2025 | AAAI | PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection. | Tri Cao, Chengyu Huang, Yuexin Li, Huilin Wang, Amy He, Nay Oo, Bryan Hooi |
| 2025 | ACL | Defense Against Prompt Injection Attack by Leveraging Attack Techniques. | Yulin Chen, Haoran Li, Zihao Zheng, Dekai Wu, Yangqiu Song, Bryan Hooi |
| 2025 | ACL | Can Indirect Prompt Injection Attacks Be Detected and Removed? | Yulin Chen, Haoran Li, Yuan Sui, Yufei He, Yue Liu, Yangqiu Song, Bryan Hooi |
| 2025 | ACL | LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models. | 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 | ACL | DRS: Deep Question Reformulation With Structured Output. | Zhecheng Li, Yiwei Wang, Bryan Hooi, Yujun Cai, Nanyun Peng, Kai-Wei Chang |
| 2025 | ACL | Vulnerability of LLMs to Vertically Aligned Text Manipulations. | Zhecheng Li, Yiwei Wang, Bryan Hooi, Yujun Cai, Zhen Xiong, Nanyun Peng, Kai-Wei Chang |
| 2025 | ACL | Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering. | Yuan Sui, Yufei He, Zifeng Ding, Bryan Hooi |
| 2025 | ACL | FiDeLiS: Faithful Reasoning in Large Language Models for Knowledge Graph Question Answering. | Yuan Sui, Yufei He, Nian Liu, Xiaoxin He, Kun Wang, Bryan Hooi |
| 2025 | ACL | ReLearn: Unlearning via Learning for Large Language Models. | Haoming Xu, Ningyuan Zhao, Liming Yang, Sendong Zhao, Shumin Deng, Mengru Wang, Bryan Hooi, Nay Oo, Huajun Chen, Ningyu Zhang |
| 2025 | ACL | How Does Response Length Affect Long-Form Factuality. | James Xu Zhao, Jimmy Z. J. Liu, Bryan Hooi, See-Kiong Ng |
| 2025 | COLING | Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding. | Cheng Wang, Yiwei Wang, Bryan Hooi, Yujun Cai, Nanyun Peng, Kai-Wei Chang |
| 2025 | CVPR | Words or Vision: Do Vision-Language Models Have Blind Faith in Text? | Ailin Deng, Tri Cao, Zhirui Chen, Bryan Hooi |
| 2025 | CVPR | Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models. | Shuyang Hao, Bryan Hooi, Jun Liu, Kai-Wei Chang, Zi Huang, Yujun Cai |
| 2025 | EMNLP | TopicAttack: An Indirect Prompt Injection Attack via Topic Transition. | Yulin Chen, Haoran Li, Yuexin Li, Yue Liu, Yangqiu Song, Bryan Hooi |
| 2025 | EMNLP | Backdoor-Powered Prompt Injection Attacks Nullify Defense Methods. | Yulin Chen, Haoran Li, Yuan Sui, Yangqiu Song, Bryan Hooi |
| 2025 | EMNLP | Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization. | Shuyang Hao, Yiwei Wang, Bryan Hooi, Jun Liu, Muhao Chen, Zi Huang, Yujun Cai |
| 2025 | EMNLP | Enabling Self-Improving Agents to Learn at Test Time With Human-In-The-Loop Guidance. | Yufei He, Ruoyu Li, Alex Chen, Yue Liu, Yulin Chen, Yuan Sui, Cheng Chen, Yi Zhu, Luca Luo, Frank Yang, Bryan Hooi |
| 2025 | EMNLP | Enhancing Multi-Agent Debate System Performance via Confidence Expression. | Zijie Lin, Bryan Hooi |
| 2025 | EMNLP | How to Make Large Language Models Generate 100% Valid Molecules? | Wen Tao, Jing Tang, Alvin Chan, Bryan Hooi, Baolong Bi, Nanyun Peng, Yuansheng Liu, Yiwei Wang |
| 2025 | EMNLP | Safety in Large Reasoning Models: A Survey. | 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 | EMNLP | Automating Steering for Safe Multimodal Large Language Models. | Lyucheng Wu, Mengru Wang, Ziwen Xu, Tri Cao, Nay Oo, Bryan Hooi, Shumin Deng |
| 2025 | ICDE | Interrelated Dense Pattern Detection in Multilayer Networks (Extended Abstract). | Wenjie Feng, Li Wang, Bryan Hooi, See-Kiong Ng, Shenhua Liu |
| 2025 | ICLR | CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs. | Jinlan Fu, Shenzhen Huangfu, Hao Fei, Xiaoyu Shen, Bryan Hooi, Xipeng Qiu, See-Kiong Ng |
| 2025 | ICLR | Multi-Label Node Classification with Label Influence Propagation. | Yifei Sun, Zemin Liu, Bryan Hooi, Yang Yang, Rizal Fathony, Jia Chen, Bingsheng He |
| 2025 | ICML | FlipAttack: Jailbreak LLMs via Flipping. | Yue Liu, Xiaoxin He, Miao Xiong, Jinlan Fu, Shumin Deng, Yingwei Ma, Jiaheng Zhang, Bryan Hooi |
| 2025 | ICML | Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design. | Zhi Zheng, Zhuoliang Xie, Zhenkun Wang, Bryan Hooi |
| 2025 | ICML | Adapting Precomputed Features for Efficient Graph Condensation. | Yuan Li, Jun Hu, Zemin Liu, Bryan Hooi, Jia Chen, Bingsheng He |
| 2025 | ICML | How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees. | Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu |
| 2025 | KDD | NodeImport: Imbalanced Node Classification with Node Importance Assessment. | Nan Chen, Zemin Liu, Bryan Hooi, Bingsheng He, Jun Hu, Jia Chen |
| 2025 | KDD | UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs. | Yufei He, Yuan Sui, Xiaoxin He, Bryan Hooi |
| 2025 | NAACL | Tricking Retrievers with Influential Tokens: An Efficient Black-Box Corpus Poisoning Attack. | Cheng Wang, Yiwei Wang, Yujun Cai, Bryan Hooi |
| 2025 | WWW | UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs. | Yufei He, Yuan Sui, Xiaoxin He, Yue Liu, Yifei Sun, Bryan Hooi |
| 2025 | WWW | PhishIntel: Toward Practical Deployment of Reference-Based Phishing Detection. | Yuexin Li, Hiok Kuek Tan, Qiaoran Meng, Mei Lin Lock, Tri Cao, Shumin Deng, Nay Oo, Hoon Wei Lim, Bryan Hooi |
| 2024 | AAAI | PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation. | Zhiyuan Hu, Chumin Liu, Yue Feng, Anh Tuan Luu, Bryan Hooi |
| 2024 | ACL | Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View. | Jintian Zhang, Xin Xu, Ningyu Zhang, Ruibo Liu, Bryan Hooi, Shumin Deng |
| 2024 | BMVC | When Text and Images Don't Mix: Bias-Correcting Language-Image Similarity Scores for Anomaly Detection. | Adam Goodge, Bryan Hooi, Wee Siong Ng |
| 2024 | DASFAA | EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs. | Hewen Wang, Bryan Hooi, Dan He, Juncheng Liu, Xiaokui Xiao |
| 2024 | ECCV | Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning. | Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi |
| 2024 | ICLR | Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision. | Nan Chen, Zemin Liu, Bryan Hooi, Bingsheng He, Rizal Fathony, Jun Hu, Jia Chen |
| 2024 | ICLR | Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning. | Xiaoxin He, Xavier Bresson, Thomas Laurent, Adam Perold, Yann LeCun, Bryan Hooi |
| 2024 | ICLR | Scalable and Effective Implicit Graph Neural Networks on Large Graphs. | Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao |
| 2024 | ICLR | Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs. | Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, Bryan Hooi |
| 2024 | ICLR | Partitioning Message Passing for Graph Fraud Detection. | Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen |
| 2024 | IJCAI | Truth Table Net: Scalable, Compact & Verifiable Neural Networks with a Dual Convolutional Small Boolean Circuit Networks Form. | Adrien Benamira, Thomas Peyrin, Trevor Yap, Tristan Gurand, Bryan Hooi |
| 2024 | KDD | Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks. | Jiaying Wu, Jiafeng Guo, Bryan Hooi |
| 2024 | WWW | 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 |
| 2024 | WWW | The 1st International Workshop on Graph Foundation Models (GFM). | 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 |
| 2023 | ACL | SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres. | Shumin Deng, Shengyu Mao, Ningyu Zhang, Bryan Hooi |
| 2023 | CIKM | Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulators to Enhance Dialogue System. | Zhiyuan Hu, Yue Feng, Anh Tuan Luu, Bryan Hooi, Aldo Lipani |
| 2023 | CIKM | Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection. | Jiaying Wu, Shen Li, Ailin Deng, Miao Xiong, Bryan Hooi |
| 2023 | CoNLL | How Fragile is Relation Extraction under Entity Replacements? | Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen |
| 2023 | CVPR | Probabilistic Knowledge Distillation of Face Ensembles. | Jianqing Xu, Shen Li, Ailin Deng, Miao Xiong, Jiaying Wu, Jiaxiang Wu, Shouhong Ding, Bryan Hooi |
| 2023 | EMNLP | Primacy Effect of ChatGPT. | Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, Bryan Hooi |
| 2023 | ICDE | Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph. | 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 | ICML | Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement. | Ailin Deng, Miao Xiong, Bryan Hooi |
| 2023 | ICML | A Generalization of ViT/MLP-Mixer to Graphs. | Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson |
| 2023 | ICML | GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks. | Yuwen Li, Miao Xiong, Bryan Hooi |
| 2023 | ICML | Reachability-Aware Laplacian Representation in Reinforcement Learning. | Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang |
| 2023 | ICML | Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering. | Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi |
| 2023 | KDD | Sketch-Based Anomaly Detection in Streaming Graphs. | Siddharth Bhatia, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip S. Yu, Bryan Hooi |
| 2023 | KDD | DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection. | Jiaying Wu, Bryan Hooi |
| 2023 | WSDM | Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference. | Yiwei Wang, Bryan Hooi, Yozen Liu, Neil Shah |
| 2022 | AAAI | LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks. | Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng |
| 2022 | CCS | LPGNet: Link Private Graph Networks for Node Classification. | Aashish Kolluri, Teodora Baluta, Bryan Hooi, Prateek Saxena |
| 2022 | ECCV | Trust, but Verify: Using Self-supervised Probing to Improve Trustworthiness. | Ailin Deng, Shen Li, Miao Xiong, Zhirui Chen, Bryan Hooi |
| 2022 | ICML | The Geometry of Robust Value Functions. | Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor |
| 2022 | IJCAI | CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias. | Ailin Deng, Adam Goodge, Lang Yi Ang, Bryan Hooi |
| 2022 | IJCAI | Neural PCA for Flow-Based Representation Learning. | Shen Li, Bryan Hooi |
| 2022 | IJCNN | Time-Aware Neighbor Sampling on Temporal Graphs. | Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi |
| 2022 | NAACL | Dangling-Aware Entity Alignment with Mixed High-Order Proximities. | Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen |
| 2022 | NAACL | GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction. | Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi |
| 2022 | NAACL | Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. | Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi |
| 2022 | WWW | MemStream: Memory-Based Streaming Anomaly Detection. | Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi |
| 2022 | SIGIR | Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation. | Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng, Rui Tan |
| 2022 | WSDM | MonLAD: Money Laundering Agents Detection in Transaction Streams. | Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng |
| 2021 | AAAI | ExGAN: Adversarial Generation of Extreme Samples. | Siddharth Bhatia, Arjit Jain, Bryan Hooi |
| 2021 | AAAI | Graph Neural Network-Based Anomaly Detection in Multivariate Time Series. | Ailin Deng, Bryan Hooi |
| 2021 | CIKM | Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks. | Kuangqi Zhou, Yanfei Dong, Kaixin Wang, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng |
| 2021 | CVPR | Spherical Confidence Learning for Face Recognition. | Shen Li, Jianqing Xu, Xiaqing Xu, Pengcheng Shen, Shaoxin Li, Bryan Hooi |
| 2021 | ICML | Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. | Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng |
| 2021 | KDD | ODD: Outlier Detection and Description. | Siddharth Bhatia, Bryan Hooi, Leman Akoglu, Sourav Chatterjee, Xiaodong Jiang, Manish Gupta |
| 2021 | WWW | MStream: Fast Anomaly Detection in Multi-Aspect Streams. | Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi |
| 2021 | WWW | CurGraph: Curriculum Learning for Graph Classification. | Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi |
| 2021 | WWW | Mixup for Node and Graph Classification. | Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi |
| 2021 | SIGMOD | PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration. | Shixuan Sun, Yuhang Chen, Bingsheng He, Bryan Hooi |
| 2021 | WSDM | Origin-Aware Next Destination Recommendation with Personalized Preference Attention. | Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Rui Tan |
| 2020 | AAAI | Midas: Microcluster-Based Detector of Anomalies in Edge Streams. | Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos |
| 2020 | AAAI | TellTail: Fast Scoring and Detection of Dense Subgraphs. | Bryan Hooi, Kijung Shin, Hemank Lamba, Christos Faloutsos |
| 2020 | AAAI | FlowScope: Spotting Money Laundering Based on Graphs. | Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng |
| 2020 | CIKM | STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation. | Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Jagannadan Varadarajan |
| 2020 | ICDM | Provably Robust Node Classification via Low-Pass Message Passing. | Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, Christos Faloutsos, Bryan Hooi |
| 2020 | ICDM | Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off. | Minji Yoon, Thophile Gervet, Bryan Hooi, Christos Faloutsos |
| 2020 | ICLR | Identifying through Flows for Recovering Latent Representations. | Shen Li, Bryan Hooi, Gim Hee Lee |
| 2020 | IJCAI | Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact. | Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng |
| 2020 | ISSRE | Detecting Implementation Bugs in Graph Convolutional Network based Node Classifiers. | Yiwei Wang, Wei Wang, Yujun Cai, Bryan Hooi, Beng Chin Ooi |
| 2020 | KDD | Structural Patterns and Generative Models of Real-world Hypergraphs. | Manh Tuan Do, Se-eun Yoon, Bryan Hooi, Kijung Shin |
| 2020 | KDD | NodeAug: Semi-Supervised Node Classification with Data Augmentation. | Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Juncheng Liu, Bryan Hooi |
| 2019 | IJCAI | BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series. | Bin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, Jing Ye |
| 2019 | KDD | Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach. | Minji Yoon, Bryan Hooi, Kijung Shin, Christos Faloutsos |
| 2019 | PAKDD | Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection. | Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng |
| 2019 | SDM | Branch and Border: Partition-Based Change Detection in Multivariate Time Series. | Bryan Hooi, Christos Faloutsos |
| 2019 | SDM | SMF: Drift-Aware Matrix Factorization with Seasonal Patterns. | Bryan Hooi, Kijung Shin, Shenghua Liu, Christos Faloutsos |
| 2018 | CIKM | ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph. | Bryan Hooi, Leman Akoglu, Dhivya Eswaran, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos |
| 2018 | IJCAI | NeuCast: Seasonal Neural Forecast of Power Grid Time Series. | Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng |
| 2018 | WSDM | REV2: Fraudulent User Prediction in Rating Platforms. | Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, V. S. Subrahmanian |
| 2018 | SDM | StreamCast: Fast and Online Mining of Power Grid Time Sequences. | Bryan Hooi, Hyun Ah Song, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos |
| 2017 | CIKM | HoloScope: Topology-and-Spike Aware Fraud Detection. | Shenghua Liu, Bryan Hooi, Christos Faloutsos |
| 2017 | ICMLA | EyeQual: Accurate, Explainable, Retinal Image Quality Assessment. | Pedro Costa, Aurlio J. C. Campilho, Bryan Hooi, Asim Smailagic, Kris Kitani, Shenghua Liu, Christos Faloutsos, Adrian Galdran |
| 2017 | KDD | DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams. | Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos |
| 2017 | WWW | AutoCyclone: Automatic Mining of Cyclic Online Activities with Robust Tensor Factorization. | Tsubasa Takahashi, Bryan Hooi, Christos Faloutsos |
| 2017 | WSDM | D-Cube: Dense-Block Detection in Terabyte-Scale Tensors. | Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos |
| 2016 | ICDM | EdgeCentric: Anomaly Detection in Edge-Attributed Networks. | Neil Shah, Alex Beutel, Bryan Hooi, Leman Akoglu, Stephan Gnnemann, Disha Makhija, Mohit Kumar, Christos Faloutsos |
| 2016 | KDD | FRAUDAR: Bounding Graph Fraud in the Face of Camouflage. | Bryan Hooi, Hyun Ah Song, Alex Beutel, Neil Shah, Kijung Shin, Christos Faloutsos |
| 2016 | PAKDD | Matrices, Compression, Learning Curves: Formulation, and the GroupNteach Algorithms. | Bryan Hooi, Hyun Ah Song, Evangelos E. Papalexakis, Rakesh Agrawal, Christos Faloutsos |
| 2016 | SDM | BIRDNEST: Bayesian Inference for Ratings-Fraud Detection. | Bryan Hooi, Neil Shah, Alex Beutel, Stephan Gnnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, Christos Faloutsos |
| 2015 | ICDM | Education, Learning and Information Theory. | Bryan Hooi, Hyun Ah Song, Evangelos E. Papalexakis, Rakesh Agrawal, Christos Faloutsos |
| 2015 | ICDM | A General Suspiciousness Metric for Dense Blocks in Multimodal Data. | Meng Jiang, Alex Beutel, Peng Cui, Bryan Hooi, Shiqiang Yang, Christos Faloutsos |