Bryan Hooi

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