Yizhou Sun

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