Philip S. Yu

S²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening AAAI 2026 Why LLMs Hallucinate on Structured Knowledge: A Mechanistic Analysis of Reasoning over Linearized Representations ACL 2026 FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning ACL 2026 SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models ACL 2026 Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety ACL 2026 Hyperbolic Continuous Structural Entropy for Hierarchical Clustering AAAI 2026 GAM: Hierarchical Graph-based Agentic Memory for LLM Agents ACL 2026 Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection AAAI 2026 Paper2Web: Let’s Make Your Paper Alive! ACL 2026 A Survey of RAG-Reasoning Systems in Large Language Models EMNLP 2025 Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions EMNLP 2025 Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics AAAI 2025 Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space AAAI 2025 Structural Entropy Guided Probabilistic Coding AAAI 2025 WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large Documents NAACL 2025 Prompting with Phonemes: Enhancing LLMs’ Multilinguality for Non-Latin Script Languages NAACL 2025 Out-of-Distribution Detection by Regaining Lost Clues (Abstract Reprint) IJCAI 2025 T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction IJCAI 2025 Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation IJCAI 2025 SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning ICML 2025 ProvBench: A Benchmark of Legal Provision Recommendation for Contract Auto-Reviewing ACL 2025 Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation? ACL 2025 Recurrent Knowledge Identification and Fusion for Language Model Continual Learning ACL 2025 TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency ACL 2025 MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection ACL 2025 Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction ACL 2025 Structure-adaptive Adversarial Contrastive Learning for Multi-Domain Fake News Detection ACL 2025 TABGEN-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation ACL 2025 TabNAT: A Continuous-Discrete Joint Generative Framework for Tabular Data ICML 2025 How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees ICML 2025 Taxonomy-Guided Zero-Shot Recommendations with LLMs COLING 2025 Multi-View Incongruity Learning for Multimodal Sarcasm Detection COLING 2025 One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs ICML 2025 TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights ICLR 2025 DiffPuter: Empowering Diffusion Models for Missing Data Imputation ICLR 2025 IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning ICLR 2025 BANGS: Game-theoretic Node Selection for Graph Self-Training ICLR 2025 Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent ICLR 2025 Refine Knowledge of Large Language Models via Adaptive Contrastive Learning ICLR 2025 Can Watermarked LLMs be Identified by Users via Crafted Prompts? ICLR 2025 LLM Agents for Education: Advances and Applications EMNLP 2025 Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation EMNLP 2025 GeoEdit: Geometric Knowledge Editing for Large Language Models EMNLP 2025 Position: LLMs Can be Good Tutors in English Education EMNLP 2025 LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation EMNLP 2025 Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness EMNLP 2025 Breaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks EMNLP 2025 RAISE: Reinforced Adaptive Instruction Selection For Large Language Models EMNLP 2025 Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning EMNLP 2025 Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network AAAI 2024 GC-Bench: An Open and Unified Benchmark for Graph Condensation NIPS 2024 When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models NIPS 2024 Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer AAAI 2024 Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection AAAI 2024 Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning AAAI 2024 Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering AAAI 2024 Spiking Graph Neural Network on Riemannian Manifolds NIPS 2024 ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction ACL 2024 CORI: CJKV Benchmark with Romanization Integration - a Step towards Cross-lingual Transfer beyond Textual Scripts COLING 2024 DA3: A Distribution-Aware Adversarial Attack against Language Models EMNLP 2024 LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing EMNLP 2024 MarkLLM: An Open-Source Toolkit for LLM Watermarking EMNLP 2024 Towards Understanding Factual Knowledge of Large Language Models ICLR 2024 An Unforgeable Publicly Verifiable Watermark for Large Language Models ICLR 2024 Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024 LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering ICML 2024 Graph Neural Networks for Brain Graph Learning: A Survey IJCAI 2024 PyGOD: A Python Library for Graph Outlier Detection JMLR 2024 Multi-Relational Structural Entropy UAI 2024 Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks ACL 2023 CONGREGATE: Contrastive Graph Clustering in Curvature Spaces IJCAI 2023 Learning to Select from Multiple Options AAAI 2023 Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables AACL 2023 AMR-based Network for Aspect-based Sentiment Analysis ACL 2023 Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis ACL 2023 Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables IJCNLP 2023 Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces AAAI 2023 Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information AAAI 2023 Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer ACL 2023 Hierarchical State Abstraction based on Structural Information Principles IJCAI 2023 Automatic Table Union Search with Tabular Representation Learning ACL 2023 GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks ACL 2023 Scene Graph Modification as Incremental Structure Expanding COLING 2022 Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction EMNLP 2021 KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning AAAI 2021 Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks IJCAI 2021 Graph Learning based Recommender Systems: A Review IJCAI 2021 Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs AAAI 2021 Semi-supervised Relation Extraction via Incremental Meta Self-Training EMNLP 2021 PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition EMNLP 2021 Entity Synonym Discovery via Multipiece Bilateral Context Matching IJCAI 2020 Adversarial Mutual Information Learning for Network Embedding IJCAI 2020 Outlier-Robust Multi-Aspect Streaming Tensor Completion and Factorization IJCAI 2019 Heterogeneous Graph Matching Networks for Unknown Malware Detection IJCAI 2019 Maximum-Margin Hamming Hashing ICCV 2019 Generative Dual Adversarial Network for Generalized Zero-Shot Learning CVPR 2019 Private Model Compression via Knowledge Distillation AAAI 2019 Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce NAACL 2019 DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System AAAI 2019 Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics CVPR 2019 Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks IJCAI 2019 Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction ACL 2018 Lifelong Domain Word Embedding via Meta-Learning IJCAI 2018 Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks IJCAI 2018 SEVEN: Deep Semi-supervised Verification Networks IJCAI 2017 Spatiotemporal Pyramid Network for Video Action Recognition CVPR 2017 Multi-Way Multi-Level Kernel Modeling for Neuroimaging Classification CVPR 2017 HashNet: Deep Learning to Hash by Continuation ICCV 2017 Kernelized Support Tensor Machines ICML 2017 Unsupervised Feature Selection by Preserving Stochastic Neighbors AISTATS 2016 Causality Based Propagation History Ranking in Social Networks IJCAI 2016 Understanding Information Diffusion under Interactions IJCAI 2016 Item Recommendation for Emerging Online Businesses IJCAI 2016 Integrated Anchor and Social Link Predictions across Social Networks IJCAI 2015 Transfer Joint Matching for Unsupervised Domain Adaptation CVPR 2014 Transfer Sparse Coding for Robust Image Representation CVPR 2013 Transfer Feature Learning with Joint Distribution Adaptation ICCV 2013