Xiaoli Li

Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation AAAI 2026 PITE: Multi-Prototype Alignment for Individual Treatment Effect Estimation AAAI 2026 TGCD: A Framework for Generalized Category Discovery in Time-Series Data AAAI 2026 Memorization ≠ Understanding: Do Large Language Models Have the Ability of Scenario Cognition? EMNLP 2025 Counterfactual Contrastive Learning with Normalizing Flows for Robust Treatment Effect Estimation ICML 2025 Learning to Identify Seen Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning WACV 2025 Finding the Sweet Spot: Preference Data Construction for Scaling Preference Optimization ACL 2025 Inference Helps PLMs’ Conceptual Understanding: Improving the Abstract Inference Ability with Hierarchical Conceptual Entailment Graphs EMNLP 2024 Generative Semi-supervised Graph Anomaly Detection NIPS 2024 AGR: Reinforced Causal Agent-Guided Self-explaining Rationalization ACL 2024 InstructEd: Soft-Instruction Tuning for Model Editing with Hops ACL 2024 Document-Level Event Extraction via Information Interaction Based on Event Relation and Argument Correlation COLING 2024 Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs EMNLP 2024 LPViT: Low-Power Semi-structured Pruning for Vision Transformers ECCV 2024 Reinforced Cross-Domain Knowledge Distillation on Time Series Data NIPS 2024 Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data AAAI 2024 Graph-Aware Contrasting for Multivariate Time-Series Classification AAAI 2024 TSLANet: Rethinking Transformers for Time Series Representation Learning ICML 2024 Class Name Guided Out-of-Scope Intent Classification EMNLP 2024 MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction ACL 2023 SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation AAAI 2023 HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts EMNLP 2023 Open Information Extraction via Chunks EMNLP 2023 Hierarchical Enhancement Framework for Aspect-based Argument Mining EMNLP 2023 From Speculation Detection to Trustworthy Relational Tuples in Information Extraction EMNLP 2023 Decomposed Prompt Tuning via Low-Rank Reparameterization EMNLP 2023 Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation EMNLP 2023 Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks ICCV 2023 Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation ICCV 2023 Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data IJCAI 2023 SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein–Protein Interaction Prediction IJCAI 2023 DO-GAN: A Double Oracle Framework for Generative Adversarial Networks CVPR 2022 Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation AAAI 2022 Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs IJCAI 2022 Syntactic Multi-view Learning for Open Information Extraction EMNLP 2022 DocOIE: A Document-level Context-Aware Dataset for OpenIE ACL 2021 GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Evaluation ACL 2021 A Conditional Splitting Framework for Efficient Constituency Parsing ACL 2021 A Knowledge-Guided Framework for Frame Identification ACL 2021 A Knowledge-Guided Framework for Frame Identification IJCNLP 2021 GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Evaluation IJCNLP 2021 DocOIE: A Document-level Context-Aware Dataset for OpenIE IJCNLP 2021 RST Parsing from Scratch NAACL 2021 Time-Series Representation Learning via Temporal and Contextual Contrasting IJCAI 2021 Deep Reinforcement Learning Boosted Partial Domain Adaptation IJCAI 2021 Integrating Semantic Scenario and Word Relations for Abstractive Sentence Summarization EMNLP 2021 Frame Semantic-Enhanced Sentence Modeling for Sentence-level Extractive Text Summarization EMNLP 2021 A Conditional Splitting Framework for Efficient Constituency Parsing IJCNLP 2021 Public Sentiment Drift Analysis Based on Hierarchical Variational Auto-encoder EMNLP 2020 Incorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension COLING 2020 A Frame-based Sentence Representation for Machine Reading Comprehension ACL 2020 Differentiable Window for Dynamic Local Attention ACL 2020 Efficient Constituency Parsing by Pointing ACL 2020 Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification IJCNLP 2019 Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification EMNLP 2019 Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization ICML 2016 Exploring the Context of Locations for Personalized Location Recommendations IJCAI 2016 EMNLP versus ACL: Analyzing NLP research over time EMNLP 2015 TSDPMM: Incorporating Prior Topic Knowledge into Dirichlet Process Mixture Models for Text Clustering EMNLP 2015 Learning Topic Hierarchies for Wikipedia Categories IJCNLP 2015 Learning Topic Hierarchies for Wikipedia Categories ACL 2015 What Users Care About: A Framework for Social Content Alignment IJCAI 2013