Bryan Hooi

About Bryan Hooi

Bryan Hooi, With an exceptional h-index of 34 and a recent h-index of 34 (since 2020), a distinguished researcher at National University of Singapore, specializes in the field of Graphs, anomaly detection, Time series.

His recent articles reflect a diverse array of research interests and contributions to the field:

Expanding small-scale datasets with guided imagination

Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models

Largest: A benchmark dataset for large-scale traffic forecasting

PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation

G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering

UniGraph: Learning a Cross-Domain Graph Foundation Model From Natural Language

Mgdcf: Distance learning via markov graph diffusion for neural collaborative filtering

Bryan Hooi Information

University

Position

___

Citations(all)

4769

Citations(since 2020)

4443

Cited By

1071

hIndex(all)

34

hIndex(since 2020)

34

i10Index(all)

72

i10Index(since 2020)

72

Email

University Profile Page

Google Scholar

Bryan Hooi Skills & Research Interests

Graphs

anomaly detection

Time series

Top articles of Bryan Hooi

Title

Journal

Author(s)

Publication Date

Expanding small-scale datasets with guided imagination

Yifan Zhang

Daquan Zhou

Bryan Hooi

Kai Wang

Jiashi Feng

2023/12

Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding

arXiv preprint arXiv:2402.15300

Ailin Deng

Zhirui Chen

Bryan Hooi

2024/2/23

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models

arXiv preprint arXiv:2402.03271

Zhiyuan Hu

Chumin Liu

Xidong Feng

Yilun Zhao

See-Kiong Ng

...

2024/2/5

Largest: A benchmark dataset for large-scale traffic forecasting

Advances in Neural Information Processing Systems

Xu Liu

Yutong Xia

Yuxuan Liang

Junfeng Hu

Yiwei Wang

...

2024/2/13

PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation

Proceedings of the AAAI Conference on Artificial Intelligence

Zhiyuan Hu

Chumin Liu

Yue Feng

Anh Tuan Luu

Bryan Hooi

2024/3/24

G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering

arXiv preprint arXiv:2402.07630

Xiaoxin He

Yijun Tian

Yifei Sun

Nitesh V Chawla

Thomas Laurent

...

2024/2/12

UniGraph: Learning a Cross-Domain Graph Foundation Model From Natural Language

arXiv preprint arXiv:2402.13630

Yufei He

Bryan Hooi

2024/2/21

Mgdcf: Distance learning via markov graph diffusion for neural collaborative filtering

IEEE Transactions on Knowledge and Data Engineering

Jun Hu

Bryan Hooi

Shengsheng Qian

Quan Fang

Changsheng Xu

2024/1/9

Proximity-informed calibration for deep neural networks

Advances in Neural Information Processing Systems

Miao Xiong

Ailin Deng

Pang Wei W Koh

Jiaying Wu

Shen Li

...

2024/2/13

KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection

arXiv preprint arXiv:2403.02253

Yuexin Li

Chengyu Huang

Shumin Deng

Mei Lin Lock

Tri Cao

...

2024/3/4

System and method for predicting destination location

2024/2/8

Avoiding Feature Suppression in Contrastive Learning: Learning What Has Not Been Learned Before

arXiv preprint arXiv:2402.11816

Jihai Zhang

Xiang Lan

Xiaoye Qu

Yu Cheng

Mengling Feng

...

2024/2/19

Do we really need graph neural networks for traffic forecasting?

arXiv preprint arXiv:2301.12603

Xu Liu

Yuxuan Liang

Chao Huang

Hengchang Hu

Yushi Cao

...

2023/1/30

How Fragile is Relation Extraction under Entity Replacements?

Yiwei Wang

Bryan Hooi

Fei Wang

Yujun Cai

Yuxuan Liang

...

2023/12

Harnessing explanations: Llm-to-lm interpreter for enhanced text-attributed graph representation learning

Xiaoxin He

Xavier Bresson

Thomas Laurent

Adam Perold

Yann LeCun

...

2023/10/13

Deep long-tailed learning: A survey

TPAMI 2023

Yifan Zhang

Bingyi Kang

Bryan Hooi

Shuicheng Yan

Jiashi Feng

2023/4/14

Can llms express their uncertainty? an empirical evaluation of confidence elicitation in llms

Miao Xiong

Zhiyuan Hu

Xinyang Lu

Yifei Li

Jie Fu

...

2024/1/15

Prompt-based zero-and few-shot node classification: A multimodal approach

arXiv preprint arXiv:2307.11572

Yuexin Li

Bryan Hooi

2023/7/21

Prompt-and-align: prompt-based social alignment for few-shot fake news detection

Jiaying Wu

Shen Li

Ailin Deng

Miao Xiong

Bryan Hooi

2023/10/21

Continuous-time graph directed information maximization for temporal network representation

Information Sciences

Chenming Yang

Jingjing Li

Ke Lu

Bryan Hooi

Liang Zhou

2023/10/1

See List of Professors in Bryan Hooi University(National University of Singapore)