← Authors

Philip S. Yu

111 papers · 2013–2026 · 16 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (23) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (12) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (16) 🏠 Conference Loyalist (20) 🀝 Dynamic Duo (22) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ‘₯ Mega-Team (71) πŸ”¬ Deep Specialist (19) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (13) ❓ The Questioner (3) πŸ’Ž Century Club (108) πŸ—ƒοΈ Keyword Collector (51) ⚑ Prolific Year (9)

Conferences

IJCAI (20) AAAI (18) EMNLP (17) ACL (16) ICLR (9) ICML (7) CVPR (6) COLING (4) ICCV (3) NAACL (3) NIPS (3) AACL (1) AISTATS (1) IJCNLP (1) JMLR (1) UAI (1)

Top co-authors

Hao Peng (24) Xuming Hu (19) Lijie Wen (14) Li Sun (12) Aiwei Liu (11) Yangning Li (10) Hai-Tao Zheng (9) Lifang He (9) Yinghui Li (9) Jianmin Wang (7)

Research topics

Education (3) Differential Privacy (1)

Keywords

graph neural network (17) large language model (14) representation learning (9) domain adaptation (8) transfer learning (8) contrastive learning (6) knowledge distillation (6) text generation (5) reinforcement learning (5) relation extraction (5) named entity recognition (4) structural entropy (4) data augmentation (4) collaborative filtering (4) hierarchical clustering (3) educational technology (3) tensor factorization (3) semi-supervised learning (3) self-supervised learning (3) metric learning (3)

Papers

Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection AAAI 2026
SΒ²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening AAAI 2026
Hyperbolic Continuous Structural Entropy for Hierarchical Clustering AAAI 2026
RAISE: Reinforced Adaptive Instruction Selection For Large Language Models EMNLP 2025
Breaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks EMNLP 2025
Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness 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
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
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
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
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
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
Out-of-Distribution Detection by Regaining Lost Clues (Abstract Reprint) IJCAI 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
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
T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction IJCAI 2025
Taxonomy-Guided Zero-Shot Recommendations with LLMs COLING 2025
Multi-View Incongruity Learning for Multimodal Sarcasm Detection COLING 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
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions EMNLP 2025
LLM Agents for Education: Advances and Applications EMNLP 2025
A Survey of RAG-Reasoning Systems in Large Language Models EMNLP 2025
Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning EMNLP 2025
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction ACL 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
Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network AAAI 2024
Spiking Graph Neural Network on Riemannian Manifolds NIPS 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
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
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis ACL 2023
AMR-based Network for Aspect-based Sentiment Analysis ACL 2023
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables IJCNLP 2023
Learning to Select from Multiple Options AAAI 2023
CONGREGATE: Contrastive Graph Clustering in Curvature Spaces IJCAI 2023
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces AAAI 2023
Hierarchical State Abstraction based on Structural Information Principles IJCAI 2023
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks ACL 2023
Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks ACL 2023
Automatic Table Union Search with Tabular Representation Learning ACL 2023
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables AACL 2023
Scene Graph Modification as Incremental Structure Expanding COLING 2022
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks IJCAI 2021
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction EMNLP 2021
PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition EMNLP 2021
Semi-supervised Relation Extraction via Incremental Meta Self-Training EMNLP 2021
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning AAAI 2021
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs AAAI 2021
Graph Learning based Recommender Systems: A Review IJCAI 2021
Adversarial Mutual Information Learning for Network Embedding IJCAI 2020
Entity Synonym Discovery via Multipiece Bilateral Context Matching IJCAI 2020
Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce NAACL 2019
Maximum-Margin Hamming Hashing ICCV 2019
Outlier-Robust Multi-Aspect Streaming Tensor Completion and Factorization IJCAI 2019
Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks IJCAI 2019
Heterogeneous Graph Matching Networks for Unknown Malware Detection IJCAI 2019
Private Model Compression via Knowledge Distillation AAAI 2019
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System AAAI 2019
Generative Dual Adversarial Network for Generalized Zero-Shot Learning CVPR 2019
Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics CVPR 2019
Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks IJCAI 2018
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction ACL 2018
Lifelong Domain Word Embedding via Meta-Learning IJCAI 2018
Multi-Way Multi-Level Kernel Modeling for Neuroimaging Classification CVPR 2017
SEVEN: Deep Semi-supervised Verification Networks IJCAI 2017
Kernelized Support Tensor Machines ICML 2017
HashNet: Deep Learning to Hash by Continuation ICCV 2017
Spatiotemporal Pyramid Network for Video Action Recognition CVPR 2017
Causality Based Propagation History Ranking in Social Networks IJCAI 2016
Item Recommendation for Emerging Online Businesses IJCAI 2016
Unsupervised Feature Selection by Preserving Stochastic Neighbors AISTATS 2016
Understanding Information Diffusion under Interactions 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