PPaperPicks

Bryan Hooi

National University of Singapore, Singapore

65 papers at tracked venues · 49 at CORE A* · active 2024–2026

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Venues

ACL ×14EMNLP ×8ICLR ×7NeurIPS ×7AAAI ×6ICML ×4WWW ×4SIGKDD ×3CVPR ×2ECML-PKDD ×2BMVC ×1CIKM ×1ECCV ×1ICDE ×1IJCAI ×1NAACL ×1SIGIR ×1WSDM ×1

Frequent coauthors

Zhiyuan Hu
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Yulin Chen
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Yuan Li
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Jun Hu
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Yuan Sui
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Yufei He
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Zhecheng Li
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Shuyang Hao
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Yue Liu
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Haonan Yuan
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Nan Chen
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Adam Goodge
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Papers

  1. Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models
    ACL 2026 ·
    Zhiyuan Hu
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  2. DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs
    AAAI 2026 ·
    Yuan Li
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  3. Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning
    AAAI 2026 ·
    Jun Hu
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  4. LookAhead Tuning: Safer Language Models via Partial Answer Previews
    WSDM 2026 ·
    Kangwei Liu
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  5. Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models
    ACL 2026 ·
    Yuan Sui
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  6. NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification
    AAAI 2026 ·
    Jun Hu
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  7. Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs
    ACL 2026 ·
    Zhiyuan Hu
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  8. Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion
    SIGIR 2026 ·
    Yuan Li
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  9. Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction
    ACL 2026 ·
    Yulin Chen
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  10. Adapting Precomputed Features for Efficient Graph Condensation
    ICML 2025 ·
    Yuan Li
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  11. Automating Steering for Safe Multimodal Large Language Models
    EMNLP 2025 ·
    Lyucheng Wu
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  12. Backdoor-Powered Prompt Injection Attacks Nullify Defense Methods
    EMNLP 2025 ·
    Yulin Chen
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  13. CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs
    ICLR 2025 ·
    Jinlan Fu
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  14. Can Indirect Prompt Injection Attacks Be Detected and Removed?
    ACL 2025 ·
    Yulin Chen
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  15. Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering
    ACL 2025 ·
    Yuan Sui
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  16. ConfTuner: Training Large Language Models to Express Their Confidence Verbally
    NeurIPS 2025 ·
    Yibo Li
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  17. DRS: Deep Question Reformulation With Structured Output
    ACL 2025 ·
    Zhecheng Li
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  18. Defense Against Prompt Injection Attack by Leveraging Attack Techniques
    ACL 2025 ·
    Yulin Chen
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  19. Enabling Self-Improving Agents to Learn at Test Time With Human-In-The-Loop Guidance
    EMNLP 2025 ·
    Yufei He
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  20. Enhancing Multi-Agent Debate System Performance via Confidence Expression
    EMNLP 2025 ·
    Zijie Lin
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  21. Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models
    CVPR 2025 ·
    Shuyang Hao
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  22. FiDeLiS: Faithful Reasoning in Large Language Models for Knowledge Graph Question Answering
    ACL 2025 ·
    Yuan Sui
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  23. FlipAttack: Jailbreak LLMs via Flipping
    ICML 2025 ·
    Yue Liu
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  24. GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning
    NeurIPS 2025 ·
    Haonan Yuan
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  25. GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning
    NeurIPS 2025 ·
    Yue Liu
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  26. How Does Response Length Affect Long-Form Factuality
    ACL 2025 ·
    James Xu Zhao
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  27. How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees
    ICML 2025 ·
    Haonan Yuan
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  28. How to Make Large Language Models Generate 100% Valid Molecules?
    EMNLP 2025 ·
    Wen Tao
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  29. Interrelated Dense Pattern Detection in Multilayer Networks (Extended Abstract)
    ICDE 2025 ·
    Wenjie Feng
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  30. LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models
    ACL 2025 ·
    Zhiyuan Hu
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  31. MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research
    NeurIPS 2025 ·
    Hui Chen
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  32. Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization
    EMNLP 2025 ·
    Shuyang Hao
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  33. Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation
    AAAI 2025 ·
    Jun Hu
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  34. Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design
    ICML 2025 ·
    Zhi Zheng
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  35. Multi-Label Node Classification with Label Influence Propagation
    ICLR 2025 ·
    Yifei Sun
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  36. NodeImport: Imbalanced Node Classification with Node Importance Assessment
    SIGKDD 2025 ·
    Nan Chen
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  37. PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection
    AAAI 2025 ·
    Tri Cao
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  38. PhishIntel: Toward Practical Deployment of Reference-Based Phishing Detection
    WWW 2025 ·
    Yuexin Li
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  39. Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
    CIKM 2025 ·
    Meeyoung Cha
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  40. ReLearn: Unlearning via Learning for Large Language Models
    ACL 2025 ·
    Haoming Xu
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  41. SODA: Out-of-Distribution Detection in Domain-Shifted Point Clouds via Neighborhood Propagation
    ECML-PKDD 2025 ·
    Adam Goodge
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  42. Safety in Large Reasoning Models: A Survey
    EMNLP 2025 ·
    Cheng Wang
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  43. TopicAttack: An Indirect Prompt Injection Attack via Topic Transition
    EMNLP 2025 ·
    Yulin Chen
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  44. Tricking Retrievers with Influential Tokens: An Efficient Black-Box Corpus Poisoning Attack
    NAACL 2025 ·
    Cheng Wang
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  45. UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs
    WWW 2025 ·
    Yufei He
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  46. UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs
    SIGKDD 2025 ·
    Yufei He
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  47. Vulnerability of LLMs to Vertically Aligned Text Manipulations
    ACL 2025 ·
    Zhecheng Li
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  48. Words or Vision: Do Vision-Language Models Have Blind Faith in Text?
    CVPR 2025 ·
    Ailin Deng
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  49. Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
    ICLR 2024 ·
    Miao Xiong
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  50. Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision
    ICLR 2024 ·
    Nan Chen
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  51. Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View
    ACL 2024 ·
    Jintian Zhang
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  52. Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks
    SIGKDD 2024 ·
    Jiaying Wu
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  53. G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
    NeurIPS 2024 ·
    Xiaoxin He
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  54. Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
    ICLR 2024 ·
    Xiaoxin He
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  55. ID3: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition
    NeurIPS 2024 ·
    Jianqing Xu
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  56. Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
    ECCV 2024 ·
    Jihai Zhang
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  57. Partitioning Message Passing for Graph Fraud Detection
    ICLR 2024 ·
    Wei Zhuo
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  58. PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation
    AAAI 2024 ·
    Zhiyuan Hu
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  59. Reinventing Node-centric Traffic Forecasting for Improved Accuracy and Efficiency
    ECML-PKDD 2024 ·
    Xu Liu
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  60. Scalable and Effective Implicit Graph Neural Networks on Large Graphs
    ICLR 2024 ·
    Juncheng Liu
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  61. The 1st International Workshop on Graph Foundation Models (GFM)
    WWW 2024 ·
    Haitao Mao
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  62. Truth Table Net: Scalable, Compact & Verifiable Neural Networks with a Dual Convolutional Small Boolean Circuit Networks Form
    IJCAI 2024 ·
    Adrien Benamira
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  63. Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs
    NeurIPS 2024 ·
    Zhiyuan Hu
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  64. UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
    WWW 2024 ·
    Xu Liu
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  65. When Text and Images Don't Mix: Bias-Correcting Language-Image Similarity Scores for Anomaly Detection
    BMVC 2024 ·
    Adam Goodge
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