Bryan Hooi

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 204

Top Venues

Publications

Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei Koh, Bryan Hooi
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models. CoRR (2024)
Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi
Avoiding Feature Suppression in Contrastive Learning: Learning What Has Not Been Learned Before. CoRR (2024)
Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V. Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. CoRR (2024)
Yuexin Li, Bryan Hooi
Prompt-Based Zero- and Few-Shot Node Classification: A Multimodal Approach. CoRR (2023)
Miao Xiong, Ailin Deng, Pang Wei Koh, Jiaying Wu, Shen Li, Jianqing Xu, Bryan Hooi
Proximity-Informed Calibration for Deep Neural Networks. CoRR (2023)
Jun Hu, Bryan Hooi, Bingsheng He
Efficient Heterogeneous Graph Learning via Random Projection. CoRR (2023)
Aashish Kolluri, Sarthak Choudhary, Bryan Hooi, Prateek Saxena
RETEXO: Scalable Neural Network Training over Distributed Graphs. CoRR (2023)
Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, Bryan Hooi
Primacy Effect of ChatGPT. EMNLP (2023)
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 (2023)
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)
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)
Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen
EntRED: Benchmarking Relation Extraction with Fewer Shortcuts. CoRR (2023)
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 (2023)
Jiaying Wu, Bryan Hooi
Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks. CoRR (2023)
Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang
Reachability-Aware Laplacian Representation in Reinforcement Learning. ICML (2023)
Jianqing Xu, Shen Li, Ailin Deng, Miao Xiong, Jiaying Wu, Jiaxiang Wu, Shouhong Ding, Bryan Hooi
Probabilistic Knowledge Distillation of Face Ensembles. CVPR (2023)
Jiaying Wu, Bryan Hooi
DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection. CoRR (2023)
Siddharth Bhatia, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip S. Yu, Bryan Hooi
Sketch-Based Anomaly Detection in Streaming Graphs. KDD (2023)
Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering. ICML (2023)
Shumin Deng, Ningyu Zhang, Nay Oo, Bryan Hooi
Towards A Unified View of Answer Calibration for Multi-Step Reasoning. CoRR (2023)
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 (2023)
Jiaying Wu, Shen Li, Ailin Deng, Miao Xiong, Bryan Hooi
Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection. CoRR (2023)
Zhiyuan Hu, Chumin Liu, Yue Feng, Bryan Hooi
PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation. CoRR (2023)
Yiwei Wang, Bryan Hooi, Yozen Liu, Neil Shah
Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference. WSDM (2023)
Ailin Deng, Miao Xiong, Bryan Hooi
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement. CoRR (2023)
Baixiang Huang, Bryan Hooi, Kai Shu
TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks. SIGSPATIAL/GIS (2023)
Minji Yoon, Jing Yu Koh, Bryan Hooi, Ruslan Salakhutdinov
Multimodal Graph Learning for Generative Tasks. CoRR (2023)
Yuwen Li, Miao Xiong, Bryan Hooi
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks. CoRR (2023)
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 (2023)
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 (2023)
Yifan Zhang, Bryan Hooi
HiPA: Enabling One-Step Text-to-Image Diffusion Models via High-Frequency-Promoting Adaptation. CoRR (2023)
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 (2023)
Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng, Rui Tan
Learning Hierarchical Spatial Tasks with Visiting Relations for Next POI Recommendation. Trans. Recomm. Syst. 1 (4) (2023)
Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, Bryan Hooi
Primacy Effect of ChatGPT. CoRR (2023)
Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering. CoRR (2023)
Xiaoxin He, Xavier Bresson, Thomas Laurent, Bryan Hooi
Explanations as Features: LLM-Based Features for Text-Attributed Graphs. CoRR (2023)
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)
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 (2023)
Shumin Deng, Shengyu Mao, Ningyu Zhang, Bryan Hooi
SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres. ACL (1) (2023)
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? CoNLL (2023)
Baixiang Huang, Bryan Hooi, Kai Shu
TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks. CoRR (2023)
Chenming Yang, Jingjing Li, Ke Lu, Bryan Hooi, Liang Zhou
Continuous-time graph directed information maximization for temporal network representation. Inf. Sci. 644 (2023)
Miao Xiong, Ailin Deng, Pang Wei W. Koh, Jiaying Wu, Shen Li, Jianqing Xu, Bryan Hooi
Proximity-Informed Calibration for Deep Neural Networks. NeurIPS (2023)
Ailin Deng, Shen Li, Miao Xiong, Zhirui Chen, Bryan Hooi
Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness. CoRR (2023)
Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng
Deep Long-Tailed Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson
A Generalization of ViT/MLP-Mixer to Graphs. ICML (2023)
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 (2023)
Yuwen Li, Miao Xiong, Bryan Hooi
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks. ICML (2023)
Shumin Deng, Shengyu Mao, Ningyu Zhang, Bryan Hooi
SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres. CoRR (2023)
Jiaying Wu, Bryan Hooi
DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection. KDD (2023)
Ailin Deng, Miao Xiong, Bryan Hooi
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement. ICML (2023)
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) (2023)
Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng
Expanding Small-Scale Datasets with Guided Imagination. NeurIPS (2023)
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 (2023)
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. NeurIPS (2023)
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 (2022)
Shen Li, Bryan Hooi
Neural PCA for Flow-Based Representation Learning. CoRR (2022)
Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah
Flashlight: Scalable Link Prediction With Effective Decoders. LoG (2022)
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)
Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor
The Geometry of Robust Value Functions. CoRR (2022)
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 (2022)
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 (2022)
Jiaying Wu, Bryan Hooi
Probing Spurious Correlations in Popular Event-Based Rumor Detection Benchmarks. ECML/PKDD (2) (2022)
Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor
The Geometry of Robust Value Functions. ICML (2022)
Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng
Expanding Small-Scale Datasets with Guided Imagination. CoRR (2022)
Ailin Deng, Shen Li, Miao Xiong, Zhirui Chen, Bryan Hooi
Trust, but Verify: Using Self-supervised Probing to Improve Trustworthiness. ECCV (13) (2022)
Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao
MGNNI: Multiscale Graph Neural Networks with Implicit Layers. NeurIPS (2022)
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)
Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh
Joint Triplet Loss Learning for Next New POI Recommendation. CoRR (2022)
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)
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) (2022)
Ailin Deng, Adam Goodge, Lang Yi Ang, Bryan Hooi
CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias. IJCAI (2022)
Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi
MemStream: Memory-Based Streaming Anomaly Detection. WWW (2022)
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) (2022)
Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao
LSCALE: Latent Space Clustering-Based Active Learning for Node Classification. ECML/PKDD (1) (2022)
Aashish Kolluri, Teodora Baluta, Bryan Hooi, Prateek Saxena
LPGNet: Link Private Graph Networks for Node Classification. CCS (2022)
Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng
ARES: Locally Adaptive Reconstruction-Based Anomaly Scoring. ECML/PKDD (1) (2022)
Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang
Reachability-Aware Laplacian Representation in Reinforcement Learning. CoRR (2022)
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 (2022)
Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson
A Generalization of ViT/MLP-Mixer to Graphs. CoRR (2022)
Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi
GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction. CoRR (2022)
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 (2022)
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)
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)
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)
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)
Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos
Autonomous graph mining algorithm search with best performance trade-off. Knowl. Inf. Syst. 64 (6) (2022)
Jiaying Wu, Bryan Hooi
Probing Spurious Correlations in Popular Event-Based Rumor Detection Benchmarks. CoRR (2022)
Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao
MGNNI: Multiscale Graph Neural Networks with Implicit Layers. CoRR (2022)
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)
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 (2022)
Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi
Time-Aware Neighbor Sampling on Temporal Graphs. IJCNN (2022)
Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao
EIGNN: Efficient Infinite-Depth Graph Neural Networks. CoRR (2022)
Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition. NeurIPS (2022)
Aashish Kolluri, Teodora Baluta, Bryan Hooi, Prateek Saxena
LPGNet: Link Private Graph Networks for Node Classification. CoRR (2022)
Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng
ARES: Locally Adaptive Reconstruction-based Anomaly Scoring. CoRR (2022)
Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah
Flashlight: Scalable Link Prediction with Effective Decoders. CoRR (2022)
Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks. AAAI (2022)
Shen Li, Bryan Hooi
Neural PCA for Flow-Based Representation Learning. IJCAI (2022)
Koki Kawabata, Siddharth Bhatia, Rui Liu, Mohit Wadhwa, Bryan Hooi
SSMF: Shifting Seasonal Matrix Factorization. NeurIPS (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bryan Hooi