Lingfei Wu

Random Pruning Over-parameterized Neural Networks Can Improve Generalization: A Training Dynamics Analysis JMLR 2025 Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting AAAI 2025 AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection AAAI 2024 FAC2E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition EMNLP 2024 KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs AAAI 2024 Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization NAACL 2024 CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code EMNLP 2023 Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning AAAI 2023 SkillQG: Learning to Generate Question for Reading Comprehension Assessment ACL 2023 T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation AAAI 2023 User Simulator Assisted Open-ended Conversational Recommendation System ACL 2023 Automatic Product Copywriting for E-commerce AAAI 2022 Automatic Scene-based Topic Channel Construction System for E-Commerce EMNLP 2022 Feeding What You Need by Understanding What You Learned ACL 2022 Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph AACL 2022 Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing ICML 2022 Intelligent Online Selling Point Extraction for E-commerce Recommendation AAAI 2022 Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search EMNLP 2022 QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance EMNLP 2022 Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile ICML 2022 Adversarial Attack against Cross-lingual Knowledge Graph Alignment EMNLP 2021 Constructing contrastive samples via summarization for text classification with limited annotations EMNLP 2021 Deep Learning on Graphs for Natural Language Processing NAACL 2021 Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks ICML 2021 Graph-Augmented Code Summarization in Computational Notebooks IJCAI 2021 HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks EMNLP 2021 Learning to Generate Visual Questions with Noisy Supervision NeurIPS 2021 Relation-aware Graph Attention Model with Adaptive Self-adversarial Training AAAI 2021 Technical Question Answering across Tasks and Domains NAACL 2021 Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport EMNLP 2021 Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory NeurIPS 2021 A Joint Neural Model for Information Extraction with Global Features ACL 2020 A Multi-Perspective Architecture for Semantic Code Search ACL 2020 A Technical Question Answering System with Transfer Learning EMNLP 2020 Crossing Variational Autoencoders for Answer Retrieval ACL 2020 GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension IJCAI 2020 Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem EMNLP 2020 Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description IJCAI 2020 Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings NeurIPS 2020 Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward ACL 2020 RDF-to-Text Generation with Graph-augmented Structural Neural Encoders IJCAI 2020 Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation ICLR 2020 Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning EMNLP 2020 Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases NAACL 2019 Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications ICML 2019 Graph Enhanced Cross-Domain Text-to-SQL Generation EMNLP 2019 Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting AAAI 2019 KerGM: Kernelized Graph Matching NeurIPS 2019 Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus NAACL 2019 Similarity Preserving Representation Learning for Time Series Clustering IJCAI 2019 Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model EMNLP 2018 Quantized Densely Connected U-Nets for Efficient Landmark Localization ECCV 2018 Random Warping Series: A Random Features Method for Time-Series Embedding AISTATS 2018 SQL-to-Text Generation with Graph-to-Sequence Model EMNLP 2018 Word Mover’s Embedding: From Word2Vec to Document Embedding EMNLP 2018