Bryan Hooi

83 papers · 2018–2026 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (17) 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) 🏃 Academic Marathon (7) 🐝 Cross-Pollinator (15) 🤝 Dynamic Duo (16) 🔬 Deep Specialist (15) 🏆 Keyword Champion (2) 🧬 Topic Evolution 🏆 Grand Slam 📈 Trend Setter 💎 Century Club (80) 🗃️ Keyword Collector (335) 🔥 Unstoppable (8) ❓ The Questioner (9) ⚡ Prolific Year (5)

Conferences

AAAI (12) ACL (12) NIPS (12) ICML (11) EMNLP (10) ICLR (8) IJCAI (6) CVPR (4) NAACL (4) ECCV (2) COLING (1) CONLL (1)

Top co-authors

Yiwei Wang (16) Yujun Cai (12) Bingsheng He (8) Ailin Deng (8) Miao Xiong (8) Yuxuan Liang (7) Muhao Chen (7) Yufei He (7) Shen Li (7) Jiashi Feng (6)

Research topics

Reinforcement Learning (1) Privacy (1)

Keywords

large language model (18) graph neural network (11) anomaly detection (8) adversarial attack (6) message passing (5) question answering (5) relation extraction (4) node classification (4) prompt injection (4) unsupervised learning (4) adversarial learning (4) face recognition (3) generative model (3) long-range dependency (3) probabilistic modeling (3) knowledge graph (3) data augmentation (2) zero-shot learning (2) reinforcement learning (2) knowledge editing (2)

Papers

NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification AAAI 2026

Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning AAAI 2026

DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs AAAI 2026

Backdoor-Powered Prompt Injection Attacks Nullify Defense Methods EMNLP 2025

Enhancing Multi-Agent Debate System Performance via Confidence Expression EMNLP 2025

Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization EMNLP 2025

How to Make Large Language Models Generate 100% Valid Molecules? EMNLP 2025

Enabling Self-Improving Agents to Learn at Test Time With Human-In-The-Loop Guidance EMNLP 2025

Safety in Large Reasoning Models: A Survey EMNLP 2025

LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models ACL 2025

Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering ACL 2025

Can Indirect Prompt Injection Attacks Be Detected and Removed? ACL 2025

Defense Against Prompt Injection Attack by Leveraging Attack Techniques ACL 2025

Vulnerability of LLMs to Vertically Aligned Text Manipulations ACL 2025

How Does Response Length Affect Long-Form Factuality ACL 2025

FiDeLiS: Faithful Reasoning in Large Language Models for Knowledge Graph Question Answering ACL 2025

DRS: Deep Question Reformulation With Structured Output ACL 2025

Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding COLING 2025

Words or Vision: Do Vision-Language Models Have Blind Faith in Text? CVPR 2025

Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models CVPR 2025

Automating Steering for Safe Multimodal Large Language Models EMNLP 2025

TopicAttack: An Indirect Prompt Injection Attack via Topic Transition EMNLP 2025

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design ICML 2025

How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees ICML 2025

FlipAttack: Jailbreak LLMs via Flipping ICML 2025

Adapting Precomputed Features for Efficient Graph Condensation ICML 2025

Multi-Label Node Classification with Label Influence Propagation ICLR 2025

CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs ICLR 2025

Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation AAAI 2025

PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection AAAI 2025

Tricking Retrievers with Influential Tokens: An Efficient Black-Box Corpus Poisoning Attack NAACL 2025

ReLearn: Unlearning via Learning for Large Language Models ACL 2025

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs NIPS 2024

$\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition NIPS 2024

G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering NIPS 2024

Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View ACL 2024

Towards A Unified View of Answer Calibration for Multi-Step Reasoning ACL 2024

Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning ICLR 2024

Scalable and Effective Implicit Graph Neural Networks on Large Graphs ICLR 2024

Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning ECCV 2024

Truth Table Net: Scalable, Compact & Verifiable Neural Networks with a Dual Convolutional Small Boolean Circuit Networks Form IJCAI 2024

PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation AAAI 2024

Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs ICLR 2024

Partitioning Message Passing for Graph Fraud Detection ICLR 2024

Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision ICLR 2024

A Generalization of ViT/MLP-Mixer to Graphs ICML 2023

Proximity-Informed Calibration for Deep Neural Networks NIPS 2023

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting NIPS 2023

Expanding Small-Scale Datasets with Guided Imagination NIPS 2023

SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres ACL 2023

How Fragile is Relation Extraction under Entity Replacements? CONLL 2023

Probabilistic Knowledge Distillation of Face Ensembles CVPR 2023

Primacy Effect of ChatGPT EMNLP 2023

How Fragile is Relation Extraction under Entity Replacements? EMNLP 2023

Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement ICML 2023

GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks ICML 2023

Reachability-Aware Laplacian Representation in Reinforcement Learning ICML 2023

Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering ICML 2023

"Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness" ECCV 2022

GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction NAACL 2022

Dangling-Aware Entity Alignment with Mixed High-Order Proximities NAACL 2022

Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis NAACL 2022

Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition NIPS 2022

CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias IJCAI 2022

Neural PCA for Flow-Based Representation Learning IJCAI 2022

MGNNI: Multiscale Graph Neural Networks with Implicit Layers NIPS 2022

The Geometry of Robust Value Functions ICML 2022

LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks AAAI 2022

ExGAN: Adversarial Generation of Extreme Samples AAAI 2021

Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing ICML 2021

Adaptive Data Augmentation on Temporal Graphs NIPS 2021

Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning NIPS 2021

EIGNN: Efficient Infinite-Depth Graph Neural Networks NIPS 2021

SSMF: Shifting Seasonal Matrix Factorization NIPS 2021

Graph Neural Network-Based Anomaly Detection in Multivariate Time Series AAAI 2021

Spherical Confidence Learning for Face Recognition CVPR 2021

Identifying through Flows for Recovering Latent Representations ICLR 2020

FlowScope: Spotting Money Laundering Based on Graphs AAAI 2020

Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact IJCAI 2020

Midas: Microcluster-Based Detector of Anomalies in Edge Streams AAAI 2020

TellTail: Fast Scoring and Detection of Dense Subgraphs AAAI 2020

BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series IJCAI 2019

NeuCast: Seasonal Neural Forecast of Power Grid Time Series IJCAI 2018