Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBryan Hooi
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j15]Chenming Yang, Hui Wen, Bryan Hooi, Yue Wu, Liang Zhou:
A multi-scale reconstruction method for the anomaly detection in stochastic dynamic networks. Neurocomputing 518: 482-495 (2023)- [j14]Chenming Yang
, Jingjing Li, Ke Lu, Bryan Hooi, Liang Zhou:
Continuous-time graph directed information maximization for temporal network representation. Inf. Sci. 644: 119240 (2023) - [j13]Shubhranshu Shekhar, Dhivya Eswaran, Bryan Hooi, Jonathan Elmer, Christos Faloutsos, Leman Akoglu:
Benefit-aware early prediction of health outcomes on multivariate EEG time series. J. Biomed. Informatics 139: 104296 (2023) - [j12]Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng:
Deep Long-Tailed Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10795-10816 (2023) - [j11]Shenghua Liu, Bin Zhou, Quan Ding, Bryan Hooi, Zhengbo Zhang, Huawei Shen, Xueqi Cheng:
Time Series Anomaly Detection With Adversarial Reconstruction Networks. IEEE Trans. Knowl. Data Eng. 35(4): 4293-4306 (2023) - [c92]Shumin Deng, Shengyu Mao, Ningyu Zhang, Bryan Hooi:
SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres. ACL (1) 2023: 351-363 - [c91]Jiaying Wu, Shen Li, Ailin Deng, Miao Xiong, Bryan Hooi:
Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection. CIKM 2023: 2726-2736 - [c90]Zhiyuan Hu, Yue Feng, Anh Tuan Luu, Bryan Hooi, Aldo Lipani:
Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulators to Enhance Dialogue System. CIKM 2023: 3953-3957 - [c89]Jianqing Xu, Shen Li, Ailin Deng, Miao Xiong, Jiaying Wu, Jiaxiang Wu, Shouhong Ding, Bryan Hooi:
Probabilistic Knowledge Distillation of Face Ensembles. CVPR 2023: 3489-3498 - [c88]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:
Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph. ICDE 2023: 2988-3002 - [c87]Ailin Deng, Miao Xiong, Bryan Hooi:
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement. ICML 2023: 7675-7693 - [c86]Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson:
A Generalization of ViT/MLP-Mixer to Graphs. ICML 2023: 12724-12745 - [c85]Yuwen Li, Miao Xiong, Bryan Hooi:
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks. ICML 2023: 20195-20209 - [c84]Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang:
Reachability-Aware Laplacian Representation in Reinforcement Learning. ICML 2023: 36670-36693 - [c83]Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi:
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering. ICML 2023: 39234-39251 - [c82]Siddharth Bhatia, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip S. Yu, Bryan Hooi:
Sketch-Based Anomaly Detection in Streaming Graphs. KDD 2023: 93-104 - [c81]Jiaying Wu, Bryan Hooi:
DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection. KDD 2023: 2582-2593 - [c80]Yiwei Wang, Bryan Hooi, Yozen Liu, Neil Shah:
Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference. WSDM 2023: 348-356 - [i86]Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann:
Do We Really Need Graph Neural Networks for Traffic Forecasting? CoRR abs/2301.12603 (2023) - [i85]Ailin Deng, Shen Li, Miao Xiong, Zhirui Chen, Bryan Hooi:
Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness. CoRR abs/2302.02628 (2023) - [i84]Aashish Kolluri, Sarthak Choudhary, Bryan Hooi, Prateek Saxena:
RETEXO: Scalable Neural Network Training over Distributed Graphs. CoRR abs/2302.13053 (2023) - [i83]Baixiang Huang, Bryan Hooi, Kai Shu:
TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks. CoRR abs/2304.08640 (2023) - [i82]Ailin Deng, Miao Xiong, Bryan Hooi:
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement. CoRR abs/2305.01481 (2023) - [i81]Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi:
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering. CoRR abs/2305.06102 (2023) - [i80]Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen:
How Fragile is Relation Extraction under Entity Replacements? CoRR abs/2305.13551 (2023) - [i79]Shumin Deng, Shengyu Mao, Ningyu Zhang, Bryan Hooi:
SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres. CoRR abs/2305.13617 (2023) - [i78]Xiaoxin He, Xavier Bresson, Thomas Laurent, Bryan Hooi:
Explanations as Features: LLM-Based Features for Text-Attributed Graphs. CoRR abs/2305.19523 (2023) - [i77]Yuwen Li, Miao Xiong, Bryan Hooi:
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks. CoRR abs/2306.00015 (2023) - [i76]Miao Xiong, Ailin Deng, Pang Wei Koh, Jiaying Wu, Shen Li, Jianqing Xu, Bryan Hooi:
Proximity-Informed Calibration for Deep Neural Networks. CoRR abs/2306.04590 (2023) - [i75]Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann:
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting. CoRR abs/2306.08259 (2023) - [i74]Zhiyuan Hu, Chumin Liu, Yue Feng, Bryan Hooi:
PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation. CoRR abs/2306.08456 (2023) - [i73]Zhiyuan Hu, Yue Feng, Anh Tuan Luu, Bryan Hooi, Aldo Lipani:
Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulator to Enhance Dialogue System. CoRR abs/2306.09821 (2023) - [i72]Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, Bryan Hooi:
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs. CoRR abs/2306.13063 (2023) - [i71]Jiaying Wu, Bryan Hooi:
DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection. CoRR abs/2307.00077 (2023) - [i70]Yuexin Li, Bryan Hooi:
Prompt-Based Zero- and Few-Shot Node Classification: A Multimodal Approach. CoRR abs/2307.11572 (2023) - [i69]Zemin Liu, Yuan Li, Nan Chen, Qian Wang, Bryan Hooi, Bingsheng He:
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions. CoRR abs/2308.13821 (2023) - [i68]Zhiyuan Hu, Yue Feng, Yang Deng, Zekun Li, See-Kiong Ng, Anh Tuan Luu, Bryan Hooi:
Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals. CoRR abs/2309.08949 (2023) - [i67]Jiaying Wu, Shen Li, Ailin Deng, Miao Xiong, Bryan Hooi:
Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection. CoRR abs/2309.16424 (2023) - [i66]Minji Yoon, Jing Yu Koh, Bryan Hooi, Ruslan Salakhutdinov:
Multimodal Graph Learning for Generative Tasks. CoRR abs/2310.07478 (2023) - [i65]Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann:
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting. CoRR abs/2310.09751 (2023) - [i64]Jiaying Wu, Bryan Hooi:
Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks. CoRR abs/2310.10830 (2023) - [i63]Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, Bryan Hooi:
Primacy Effect of ChatGPT. CoRR abs/2310.13206 (2023) - [i62]Jun Hu, Bryan Hooi, Bingsheng He:
Efficient Heterogeneous Graph Learning via Random Projection. CoRR abs/2310.14481 (2023) - [i61]Shumin Deng, Ningyu Zhang, Nay Oo, Bryan Hooi:
Towards A Unified View of Answer Calibration for Multi-Step Reasoning. CoRR abs/2311.09101 (2023) - 2022
- [j10]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) - [j9]Jiaxin Jiang, Yuan Li, Bingsheng He, Bryan Hooi, Jia Chen, Johan Kok Zhi Kang:
Spade: A Real-Time Fraud Detection Framework on Evolving Graphs. Proc. VLDB Endow. 16(3): 461-469 (2022) - [j8]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) - [j7]Miao Xiong, Shen Li, Wenjie Feng, Ailin Deng, Jihai Zhang, Bryan Hooi:
Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation. Trans. Mach. Learn. Res. 2022 (2022) - [c79]Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng:
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks. AAAI 2022: 6737-6745 - [c78]Aashish Kolluri, Teodora Baluta, Bryan Hooi, Prateek Saxena:
LPGNet: Link Private Graph Networks for Node Classification. CCS 2022: 1813-1827 - [c77]Ailin Deng, Shen Li, Miao Xiong, Zhirui Chen, Bryan Hooi:
Trust, but Verify: Using Self-supervised Probing to Improve Trustworthiness. ECCV (13) 2022: 361-377 - [c76]Xu Liu, Yuxuan Liang, Chao Huang, Yu Zheng, Bryan Hooi, Roger Zimmermann:
When do contrastive learning signals help spatio-temporal graph forecasting? SIGSPATIAL/GIS 2022: 5:1-5:12 - [c75]Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor:
The Geometry of Robust Value Functions. ICML 2022: 22727-22751 - [c74]Ailin Deng, Adam Goodge, Lang Yi Ang, Bryan Hooi:
CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias. IJCAI 2022: 2002-2008 - [c73]Shen Li, Bryan Hooi:
Neural PCA for Flow-Based Representation Learning. IJCAI 2022: 3229-3235 - [c72]Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi:
Time-Aware Neighbor Sampling on Temporal Graphs. IJCNN 2022: 1-8 - [c71]Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah:
Flashlight: Scalable Link Prediction With Effective Decoders. LoG 2022: 14 - [c70]Kuangqi Zhou, Kaixin Wang, Jian Tang, Jiashi Feng, Bryan Hooi, Peilin Zhao, Tingyang Xu, Xinchao Wang:
Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction. LoG 2022: 29 - [c69]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 - [c68]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 - [c67]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 - [c66]Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao:
MGNNI: Multiscale Graph Neural Networks with Implicit Layers. NeurIPS 2022 - [c65]Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng:
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition. NeurIPS 2022 - [c64]Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao:
LSCALE: Latent Space Clustering-Based Active Learning for Node Classification. ECML/PKDD (1) 2022: 55-70 - [c63]Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng:
ARES: Locally Adaptive Reconstruction-Based Anomaly Scoring. ECML/PKDD (1) 2022: 193-208 - [c62]Jiaying Wu, Bryan Hooi:
Probing Spurious Correlations in Popular Event-Based Rumor Detection Benchmarks. ECML/PKDD (2) 2022: 274-290 - [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 - [i60]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) - [i59]Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor:
The Geometry of Robust Value Functions. CoRR abs/2201.12929 (2022) - [i58]Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao:
EIGNN: Efficient Infinite-Depth Graph Neural Networks. CoRR abs/2202.10720 (2022) - [i57]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) - [i56]Aashish Kolluri, Teodora Baluta, Bryan Hooi, Prateek Saxena:
LPGNet: Link Private Graph Networks for Node Classification. CoRR abs/2205.03105 (2022) - [i55]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) - [i54]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) - [i53]Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng:
ARES: Locally Adaptive Reconstruction-based Anomaly Scoring. CoRR abs/2206.07604 (2022) - [i52]Shen Li, Bryan Hooi:
Neural PCA for Flow-Based Representation Learning. CoRR abs/2208.10753 (2022) - [i51]Jiaying Wu, Bryan Hooi:
Probing Spurious Correlations in Popular Event-Based Rumor Detection Benchmarks. CoRR abs/2209.08799 (2022) - [i50]Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah:
Flashlight: Scalable Link Prediction with Effective Decoders. CoRR abs/2209.10100 (2022) - [i49]Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh:
Joint Triplet Loss Learning for Next New POI Recommendation. CoRR abs/2209.12162 (2022) - [i48]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:
Construction and Applications of Billion-Scale Pre-trained Multimodal Business Knowledge Graph. CoRR abs/2209.15214 (2022) - [i47]Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao:
MGNNI: Multiscale Graph Neural Networks with Implicit Layers. CoRR abs/2210.08353 (2022) - [i46]Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang:
Reachability-Aware Laplacian Representation in Reinforcement Learning. CoRR abs/2210.13153 (2022) - [i45]Jiaxin Jiang, Yuan Li, Bingsheng He, Bryan Hooi, Jia Chen, Johan Kok Zhi Kang:
Spade: A Real-Time Fraud Detection Framework on Evolving Graphs (Complete Version). CoRR abs/2211.06977 (2022) - [i44]Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng:
Expanding Small-Scale Datasets with Guided Imagination. CoRR abs/2211.13976 (2022) - [i43]Miao Xiong, Shen Li, Wenjie Feng, Ailin Deng, Jihai Zhang, Bryan Hooi:
Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation. CoRR abs/2211.16466 (2022) - [i42]Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson:
A Generalization of ViT/MLP-Mixer to Graphs. CoRR abs/2212.13350 (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]