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2020 – today
- 2022
[j8]Minji Yoon
, Théophile Gervet, Bryan Hooi, Christos Faloutsos:
Autonomous graph mining algorithm search with best performance trade-off. Knowl. Inf. Syst. 64(6): 1571-1602 (2022)- [j7]Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos:
Real-Time Anomaly Detection in Edge Streams. ACM Trans. Knowl. Discov. Data 16(4): 75:1-75:22 (2022) - [c68]Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng:
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks. AAAI 2022: 6737-6745 - [c67]Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor:
The Geometry of Robust Value Functions. ICML 2022: 22727-22751 - [c66]Ailin Deng, Adam Goodge, Lang Yi Ang, Bryan Hooi:
CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias. IJCAI 2022: 2002-2008 - [c65]Shen Li, Bryan Hooi:
Neural PCA for Flow-Based Representation Learning. IJCAI 2022: 3229-3235 - [c64]Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen:
Dangling-Aware Entity Alignment with Mixed High-Order Proximities. NAACL-HLT (Findings) 2022: 1172-1184 - [c63]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi:
GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction. NAACL-HLT (Findings) 2022: 1698-1708 - [c62]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi:
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. NAACL-HLT 2022: 3071-3081 - [c61]Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng, Rui Tan:
Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation. SIGIR 2022: 1133-1143 - [c60]Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng:
MonLAD: Money Laundering Agents Detection in Transaction Streams. WSDM 2022: 976-986 - [c59]Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi:
MemStream: Memory-Based Streaming Anomaly Detection. WWW 2022: 610-621 - [i49]Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng:
MonLAD: Money Laundering Agents Detection in Transaction Streams. CoRR abs/2201.10051 (2022) - [i48]Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor:
The Geometry of Robust Value Functions. CoRR abs/2201.12929 (2022) - [i47]Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao:
EIGNN: Efficient Infinite-Depth Graph Neural Networks. CoRR abs/2202.10720 (2022) - [i46]Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen:
Dangling-Aware Entity Alignment with Mixed High-Order Proximities. CoRR abs/2205.02406 (2022) - [i45]Aashish Kolluri, Teodora Baluta, Bryan Hooi, Prateek Saxena:
LPGNet: Link Private Graph Networks for Node Classification. CoRR abs/2205.03105 (2022) - [i44]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi:
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. CoRR abs/2205.03784 (2022) - [i43]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi:
GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction. CoRR abs/2205.03786 (2022) - [i42]Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng:
ARES: Locally Adaptive Reconstruction-based Anomaly Scoring. CoRR abs/2206.07604 (2022) - 2021
- [j6]Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection. Future Gener. Comput. Syst. 115: 236-250 (2021) - [c58]Ailin Deng, Bryan Hooi:
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series. AAAI 2021: 4027-4035 - [c57]Siddharth Bhatia, Arjit Jain, Bryan Hooi:
ExGAN: Adversarial Generation of Extreme Samples. AAAI 2021: 6750-6758 - [c56]Kuangqi Zhou, Yanfei Dong, Kaixin Wang, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng:
Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks. CIKM 2021: 2728-2737 - [c55]Hansheng Ren, Miao Xiong, Bryan Hooi:
Robust and Task-Aware Training of Deep Residual Networks for Varying-Lead ECG Classification. CinC 2021: 1-4 - [c54]Shen Li, Jianqing Xu, Xiaqing Xu, Pengcheng Shen, Shaoxin Li, Bryan Hooi:
Spherical Confidence Learning for Face Recognition. CVPR 2021: 15629-15637 - [c53]Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng:
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. ICML 2021: 11003-11012 - [c52]Siddharth Bhatia, Bryan Hooi, Leman Akoglu, Sourav Chatterjee, Xiaodong Jiang, Manish Gupta:
ODD: Outlier Detection and Description. KDD 2021: 4108-4109 - [c51]Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Siddharth Bhatia, Bryan Hooi:
Adaptive Data Augmentation on Temporal Graphs. NeurIPS 2021: 1440-1452 - [c50]Koki Kawabata, Siddharth Bhatia, Rui Liu, Mohit Wadhwa, Bryan Hooi:
SSMF: Shifting Seasonal Matrix Factorization. NeurIPS 2021: 3863-3873 - [c49]Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao:
EIGNN: Efficient Infinite-Depth Graph Neural Networks. NeurIPS 2021: 18762-18773 - [c48]Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng:
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. NeurIPS 2021: 29848-29860 - [c47]Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty:
GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs. ECML/PKDD (2) 2021: 36-51 - [c46]Shixuan Sun, Yuhang Chen, Bingsheng He, Bryan Hooi:
PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration. SIGMOD Conference 2021: 1758-1770 - [c45]Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Rui Tan:
Origin-Aware Next Destination Recommendation with Personalized Preference Attention. WSDM 2021: 382-390 - [c44]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi:
CurGraph: Curriculum Learning for Graph Classification. WWW 2021: 1238-1248 - [c43]Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi:
MStream: Fast Anomaly Detection in Multi-Aspect Streams. WWW 2021: 3371-3382 - [c42]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi:
Mixup for Node and Graph Classification. WWW 2021: 3663-3674 - [i41]Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng:
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. CoRR abs/2102.06605 (2021) - [i40]Shixuan Sun, Yuhang Chen, Bingsheng He, Bryan Hooi:
PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration. CoRR abs/2103.11137 (2021) - [i39]Rui Liu, Siddharth Bhatia, Bryan Hooi:
Isconna: Streaming Anomaly Detection with Frequency and Patterns. CoRR abs/2104.01632 (2021) - [i38]Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi:
MemStream: Memory-Based Anomaly Detection in Multi-Aspect Streams with Concept Drift. CoRR abs/2106.03837 (2021) - [i37]Siddharth Bhatia, Mohit Wadhwa, Philip S. Yu, Bryan Hooi:
Sketch-Based Streaming Anomaly Detection in Dynamic Graphs. CoRR abs/2106.04486 (2021) - [i36]Ailin Deng, Bryan Hooi:
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series. CoRR abs/2106.06947 (2021) - [i35]Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty:
GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs. CoRR abs/2106.15504 (2021) - [i34]Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng:
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. CoRR abs/2107.05545 (2021) - [i33]Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng:
Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision. CoRR abs/2107.09249 (2021) - [i32]Xu Liu, Yuxuan Liang, Yu Zheng, Bryan Hooi, Roger Zimmermann:
Spatio-Temporal Graph Contrastive Learning. CoRR abs/2108.11873 (2021) - [i31]Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng:
Deep Long-Tailed Learning: A Survey. CoRR abs/2110.04596 (2021) - [i30]Koki Kawabata, Siddharth Bhatia, Rui Liu, Mohit Wadhwa, Bryan Hooi:
SSMF: Shifting Seasonal Matrix Factorization. CoRR abs/2110.12763 (2021) - [i29]Shubhranshu Shekhar, Dhivya Eswaran, Bryan Hooi, Jonathan Elmer, Christos Faloutsos, Leman Akoglu:
Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series. CoRR abs/2111.06032 (2021) - [i28]Yiwei Wang, Yujun Cai, Yuxuan Liang, Wei Wang, Henghui Ding, Muhao Chen, Jing Tang, Bryan Hooi:
Structure-Aware Label Smoothing for Graph Neural Networks. CoRR abs/2112.00499 (2021) - [i27]Shen Li, Jianqing Xu, Bryan Hooi:
Probabilistic Contrastive Loss for Self-Supervised Learning. CoRR abs/2112.01642 (2021) - [i26]Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng:
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks. CoRR abs/2112.05355 (2021) - [i25]Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi:
Time-Aware Neighbor Sampling for Temporal Graph Networks. CoRR abs/2112.09845 (2021) - 2020
- [j5]Kijung Shin, Sejoon Oh, Jisu Kim, Bryan Hooi, Christos Faloutsos:
Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams. ACM Trans. Knowl. Discov. Data 14(2): 12:1-12:39 (2020) - [c41]Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos:
Midas: Microcluster-Based Detector of Anomalies in Edge Streams. AAAI 2020: 3242-3249 - [c40]Bryan Hooi, Kijung Shin, Hemank Lamba, Christos Faloutsos:
TellTail: Fast Scoring and Detection of Dense Subgraphs. AAAI 2020: 4150-4157 - [c39]Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng:
FlowScope: Spotting Money Laundering Based on Graphs. AAAI 2020: 4731-4738 - [c38]Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Jagannadan Varadarajan:
STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation. CIKM 2020: 845-854 - [c37]Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, Christos Faloutsos, Bryan Hooi:
Provably Robust Node Classification via Low-Pass Message Passing. ICDM 2020: 621-630 - [c36]Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos:
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off. ICDM 2020: 751-760 - [c35]Shen Li, Bryan Hooi, Gim Hee Lee:
Identifying through Flows for Recovering Latent Representations. ICLR 2020 - [c34]Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng:
Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact. IJCAI 2020: 1244-1250 - [c33]Yiwei Wang, Wei Wang, Yujun Cai, Bryan Hooi, Beng Chin Ooi:
Detecting Implementation Bugs in Graph Convolutional Network based Node Classifiers. ISSRE 2020: 313-324 - [c32]Manh Tuan Do, Se-eun Yoon, Bryan Hooi, Kijung Shin:
Structural Patterns and Generative Models of Real-world Hypergraphs. KDD 2020: 176-186 - [c31]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Juncheng Liu, Bryan Hooi:
NodeAug: Semi-Supervised Node Classification with Data Augmentation. KDD 2020: 207-217 - [c30]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi:
Progressive Supervision for Node Classification. ECML/PKDD (1) 2020: 266-281 - [i24]Wesley Joon-Wie Tann, Ee-Chien Chang, Bryan Hooi:
SHADOWCAST: Controlling Network Properties to Explain Graph Generation. CoRR abs/2006.03774 (2020) - [i23]Manh Tuan Do, Se-eun Yoon, Bryan Hooi, Kijung Shin:
Structural Patterns and Generative Models of Real-world Hypergraphs. CoRR abs/2006.07060 (2020) - [i22]Kuangqi Zhou, Yanfei Dong, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng:
Effective Training Strategies for Deep Graph Neural Networks. CoRR abs/2006.07107 (2020) - [i21]Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi:
MStream: Fast Streaming Multi-Aspect Group Anomaly Detection. CoRR abs/2009.08451 (2020) - [i20]Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos:
Real-Time Streaming Anomaly Detection in Dynamic Graphs. CoRR abs/2009.08452 (2020) - [i19]Siddharth Bhatia, Arjit Jain, Bryan Hooi:
ExGAN: Adversarial Generation of Extreme Samples. CoRR abs/2009.08454 (2020) - [i18]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi:
GraphCrop: Subgraph Cropping for Graph Classification. CoRR abs/2009.10564 (2020) - [i17]Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Jagannadan Varadarajan:
STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation. CoRR abs/2010.07024 (2020) - [i16]Minji Yoon, Bryan Hooi, Kijung Shin, Christos Faloutsos:
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach. CoRR abs/2011.13085 (2020) - [i15]Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos:
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off. CoRR abs/2011.14925 (2020) - [i14]Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Rui Tan:
Origin-Aware Next Destination Recommendation with Personalized Preference Attention. CoRR abs/2012.01915 (2020) - [i13]Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao:
Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes. CoRR abs/2012.07065 (2020) - [i12]Shimiao Li, Amritanshu Pandey, Bryan Hooi, Christos Faloutsos, Larry T. Pileggi:
Dynamic Graph-Based Anomaly Detection in the Electrical Grid. CoRR abs/2012.15006 (2020)
2010 – 2019
- 2019
- [b1]Bryan Hooi:
Anomaly Detection in Graphs and Time Series: Algorithms and Applications. Carnegie Mellon University, USA, 2019 - [j4]Shenghua Liu, Bryan Hooi, Christos Faloutsos:
A Contrast Metric for Fraud Detection in Rich Graphs. IEEE Trans. Knowl. Data Eng. 31(12): 2235-2248 (2019) - [c29]Bin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, Jing Ye:
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series. IJCAI 2019: 4433-4439 - [c28]Minji Yoon, Bryan Hooi, Kijung Shin, Christos Faloutsos:
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach. KDD 2019: 647-657 - [c27]Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection. PAKDD (1) 2019: 541-554 - [c26]Bryan Hooi, Christos Faloutsos:
Branch and Border: Partition-Based Change Detection in Multivariate Time Series. SDM 2019: 504-512 - [c25]Bryan Hooi, Kijung Shin, Shenghua Liu, Christos Faloutsos:
SMF: Drift-Aware Matrix Factorization with Seasonal Patterns. SDM 2019: 621-629 - [i11]Marko Jereminov, Bryan Hooi, Amritanshu Pandey, Hyun Ah Song, Christos Faloutsos, Lawrence T. Pileggi:
Impact of Load Models on Power Flow Optimization. CoRR abs/1902.04154 (2019) - [i10]Shen Li, Bryan Hooi, Gim Hee Lee:
Identifying through Flows for Recovering Latent Representations. CoRR abs/1909.12555 (2019) - [i9]Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos:
MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams. CoRR abs/1911.04464 (2019) - 2018
- [j3]Kijung Shin, Bryan Hooi, Christos Faloutsos:
Fast, Accurate, and Flexible Algorithms for Dense Subtensor Mining. ACM Trans. Knowl. Discov. Data 12(3): 28:1-28:30 (2018) - [c24]Bryan Hooi, Leman Akoglu, Dhivya Eswaran, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos:
ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph. CIKM 2018: 507-516 - [c23]Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng:
NeuCast: Seasonal Neural Forecast of Power Grid Time Series. IJCAI 2018: 3315-3321 - [c22]Bryan Hooi, Dhivya Eswaran, Hyun Ah Song, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos:
GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid. ECML/PKDD (1) 2018: 71-86 - [c21]Aastha Nigam, Kijung Shin, Ashwin Bahulkar, Bryan Hooi, David Hachen, Boleslaw K. Szymanski, Christos Faloutsos, Nitesh V. Chawla:
ONE-M: Modeling the Co-evolution of Opinions and Network Connections. ECML/PKDD (2) 2018: 122-140 - [c20]Kijung Shin, Jisu Kim, Bryan Hooi, Christos Faloutsos:
Think Before You Discard: Accurate Triangle Counting in Graph Streams with Deletions. ECML/PKDD (2) 2018: 141-157 - [c19]Bryan Hooi, Hyun Ah Song, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos:
StreamCast: Fast and Online Mining of Power Grid Time Sequences. SDM 2018: 531-539 - [c18]Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, V. S. Subrahmanian:
REV2: Fraudulent User Prediction in Rating Platforms. WSDM 2018: 333-341 - [i8]Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos:
Out-of-Core and Distributed Algorithms for Dense Subtensor Mining. CoRR abs/1802.01065 (2018) - 2017
- [j2]Bryan Hooi, Kijung Shin, Hyun Ah Song, Alex Beutel, Neil Shah, Christos Faloutsos:
Graph-Based Fraud Detection in the Face of Camouflage. ACM Trans. Knowl. Discov. Data 11(4): 44:1-44:26 (2017) - [c17]Shenghua Liu, Bryan Hooi, Christos Faloutsos:
HoloScope: Topology-and-Spike Aware Fraud Detection. CIKM 2017: 1539-1548 - [c16]Pedro Costa, Aurélio J. C. Campilho, Bryan Hooi, Asim Smailagic, Kris Kitani, Shenghua Liu, Christos Faloutsos, Adrian Galdran:
EyeQual: Accurate, Explainable, Retinal Image Quality Assessment. ICMLA 2017: 323-330 - [c15]Marko Jereminov, Amritanshu Pandey, Hyun Ah Song, Bryan Hooi, Christos Faloutsos, Larry T. Pileggi:
Linear load model for robust power system analysis. ISGT Europe 2017: 1-6 - [c14]Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos:
DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams. KDD 2017: 1057-1066 - [c13]Bryan Hooi, Shenghua Liu, Asim Smailagic, Christos Faloutsos:
BeatLex: Summarizing and Forecasting Time Series with Patterns. ECML/PKDD (2) 2017: 3-19 - [c12]Hemank Lamba, Bryan Hooi, Kijung Shin, Christos Faloutsos, Jürgen Pfeffer:
zooRank: Ranking Suspicious Entities in Time-Evolving Tensors. ECML/PKDD (1) 2017: 68-84 - [c11]Hyun Ah Song, Bryan Hooi, Marko Jereminov, Amritanshu Pandey, Larry T. Pileggi, Christos Faloutsos:
PowerCast: Mining and Forecasting Power Grid Sequences. ECML/PKDD (2) 2017: 606-621 - [c10]Chi Ling Chan, Justin Lai, Bryan Hooi, Todd Davies:
The Message or the Messenger? Inferring Virality and Diffusion Structure from Online Petition Signature Data. SocInfo (1) 2017: 499-517 - [c9]Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos:
D-Cube: Dense-Block Detection in Terabyte-Scale Tensors. WSDM 2017: 681-689 - [c8]Tsubasa Takahashi, Bryan Hooi, Christos Faloutsos:
AutoCyclone: Automatic Mining of Cyclic Online Activities with Robust Tensor Factorization. WWW 2017: 213-221 - [i7]Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, V. S. Subrahmanian:
FairJudge: Trustworthy User Prediction in Rating Platforms. CoRR abs/1703.10545 (2017) - [i6]Shenghua Liu, Bryan Hooi, Christos Faloutsos:
HoloScope: Topology-and-Spike Aware Fraud Detection. CoRR abs/1705.02505 (2017) - [i5]Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos:
DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams. CoRR abs/1706.03374 (2017) - [i4]Chi Ling Chan, Justin Lai, Bryan Hooi, Todd Davies:
The Message or the Messenger? Inferring Virality and Diffusion Structure from Online Petition Signature Data. CoRR abs/1708.03472 (2017) - [i3]Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
EagleMine: Vision-Guided Mining in Large Graphs. CoRR abs/1710.08756 (2017) - 2016
- [j1]Meng Jiang, Alex Beutel, Peng Cui, Bryan Hooi, Shiqiang Yang, Christos Faloutsos:
Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms. IEEE Trans. Knowl. Data Eng. 28(8): 2187-2200 (2016) - [c7]Neil Shah, Alex Beutel, Bryan Hooi, Leman Akoglu, Stephan Günnemann, Disha Makhija, Mohit Kumar, Christos Faloutsos:
EdgeCentric: Anomaly Detection in Edge-Attributed Networks. ICDM Workshops 2016: 327-334 - [c6]Bryan Hooi, Hyun Ah Song, Alex Beutel, Neil Shah, Kijung Shin, Christos Faloutsos:
FRAUDAR: Bounding Graph Fraud in the Face of Camouflage. KDD 2016: 895-904 - [c5]Bryan Hooi, Hyun Ah Song, Evangelos E. Papalexakis, Rakesh Agrawal, Christos Faloutsos:
Matrices, Compression, Learning Curves: Formulation, and the GroupNteach Algorithms. PAKDD (2) 2016: 376-387 - [c4]