← Authors

Yizhou Sun

80 papers · 2009–2026 · 13 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) πŸƒ Academic Marathon (16) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (13) πŸ—ΊοΈ Taxonomy Completionist (14) 🀝 Dynamic Duo (19) πŸ‘‘ Triple Crown πŸ† Keyword Champion πŸ† Grand Slam πŸ‘₯ Mega-Team (20) πŸ”¬ Deep Specialist (15) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (13) πŸ—ƒοΈ Keyword Collector (295) ⚑ Prolific Year (13) πŸ’Ž Century Club (79) ❓ The Questioner πŸ“ˆ Trend Setter

Conferences

AAAI (14) NIPS (14) ACL (13) ICML (11) EMNLP (7) ICLR (7) IJCAI (5) NAACL (3) IJCNLP (2) COLING (1) CVPR (1) EACL (1) ICCV (1)

Top co-authors

Wei Wang (19) Ziniu Hu (15) Kai-Wei Chang (12) Zijie Huang (10) Xiao Luo (9) Jiawei Han (7) Heng Ji (6) Shichang Zhang (6) Song Jiang (5) Ming Zhang (5)

Research topics

Education (1)

Keywords

graph neural network (16) large language model (8) knowledge graph embedding (5) representation learning (5) graph embedding (4) language model (3) transfer learning (3) question answering (3) unsupervised learning (3) ensemble learning (3) few-shot learning (2) multimodal learning (2) prompt engineering (2) graph structure (2) graph representation (2) knowledge graph (2) self-supervised learning (2) graph representation learning (2) zero-shot learning (2) embedding learning (2)

Papers

Model AI Assignments 2026 AAAI 2026
Optimized Multi-Token Joint Decoding With Auxiliary Model for LLM Inference ICLR 2025
How Do Large Language Models Perform on PDE Discovery: A Coarse-to-fine Perspective EMNLP 2025
Protein Large Language Models: A Comprehensive Survey EMNLP 2025
STIV: Scalable Text and Image Conditioned Video Generation ICCV 2025
Mixture of In-Context Prompters for Tabular PFNs ICLR 2025
Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark ICLR 2025
HMT: Hierarchical Memory Transformer for Efficient Long Context Language Processing NAACL 2025
Contradiction Retrieval via Contrastive Learning with Sparsity ICML 2025
How Do Large Language Models Perform in Dynamical System Modeling NAACL 2025
Rethink GraphODE Generalization within Coupled Dynamical System ICML 2025
Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation AAAI 2025
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis AAAI 2025
Dynamic-Width Speculative Beam Decoding for LLM Inference AAAI 2025
QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search ICML 2025
Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection ACL 2025
Open-Set Living Need Prediction with Large Language Models ACL 2025
V-ALPHASOCIAL: Benchmark and Self-Reflective Chain-of-Thought Generation for Visual Social Commonsense Reasoning ACL 2025
Automated Molecular Concept Generation and Labeling with Large Language Models COLING 2025
VideoPhy: Evaluating Physical Commonsense for Video Generation ICLR 2025
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks ICLR 2024
PGODE: Towards High-quality System Dynamics Modeling ICML 2024
Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks ICML 2024
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks NIPS 2024
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation NIPS 2024
Non-Euclidean Mixture Model for Social Network Embedding NIPS 2024
FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion ACL 2024
RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models NAACL 2024
A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract) IJCAI 2024
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models ICML 2024
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction ICML 2024
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling NIPS 2024
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text EMNLP 2024
Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs NIPS 2023
AVIS: Autonomous Visual Information Seeking with Large Language Model Agent NIPS 2023
CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation NIPS 2023
Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes AAAI 2023
HOPE: High-order Graph ODE For Modeling Interacting Dynamics ICML 2023
REVEAL: Retrieval-Augmented Visual-Language Pre-Training With Multi-Source Multimodal Knowledge Memory CVPR 2023
Question-Answer Sentence Graph for Joint Modeling Answer Selection EACL 2023
Neural Compositional Rule Learning for Knowledge Graph Reasoning ICLR 2023
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation NIPS 2023
Introducing Semantics into Speech Encoders ACL 2023
Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog ACL 2023
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs ACL 2023
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs AAAI 2022
Improving Multi-Task Generalization via Regularizing Spurious Correlation NIPS 2022
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games NIPS 2022
On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs NIPS 2022
Fuzzy Logic Based Logical Query Answering on Knowledge Graphs AAAI 2022
Unsupervised Adversarially Robust Representation Learning on Graphs AAAI 2022
Towards Fine-Grained Reasoning for Fake News Detection AAAI 2022
GRU4RecBE: A Hybrid Session-Based Movie Recommendation System (Student Abstract) AAAI 2022
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment ACL 2022
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering EMNLP 2022
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation ICLR 2022
Relation-Guided Pre-Training for Open-Domain Question Answering EMNLP 2021
UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference EMNLP 2021
GLSearch: Maximum Common Subgraph Detection via Learning to Search ICML 2021
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference AAAI 2021
Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations NIPS 2020
Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer EMNLP 2020
Heterogeneous Network Representation Learning IJCAI 2020
Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching AAAI 2020
Differentiable Product Quantization for End-to-End Embedding Compression ICML 2020
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity IJCAI 2019
Few-Shot Representation Learning for Out-Of-Vocabulary Words ACL 2019
Embedding Uncertain Knowledge Graphs AAAI 2019
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks NIPS 2019
Personalized Question Routing via Heterogeneous Network Embedding AAAI 2019
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations ICML 2018
Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks IJCAI 2017
Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events IJCAI 2016
Context-aware Entity Morph Decoding ACL 2015
Context-aware Entity Morph Decoding IJCNLP 2015
Successful Data Mining Methods for NLP IJCNLP 2015
Successful Data Mining Methods for NLP ACL 2015
Be Appropriate and Funny: Automatic Entity Morph Encoding ACL 2014
Resolving Entity Morphs in Censored Data ACL 2013
Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models NIPS 2009