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Yuan-Fang Li

55 papers · 2019–2026 · 17 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🌍 Conference Polyglot (17) πŸƒ Academic Marathon (6) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (88) 🀝 Dynamic Duo (17) πŸ† Grand Slam 🧬 Topic Evolution πŸ’Ž Century Club (54) πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (189) ❓ The Questioner πŸ”₯ Unstoppable (7)

Conferences

EMNLP (12) ACL (6) IJCNLP (5) IJCAI (5) AAAI (5) COLING (3) ICLR (3) AACL (3) CONLL (2) CVPR (2) ICCV (2) NAACL (2) EACL (1) ECCV (1) ICML (1) MICCAI (1) NIPS (1)

Papers

TiCAL:Typicality-Based Consistency-Aware Learning for Multimodal Emotion Recognition AAAI 2026 Consistent and Controllable Image Animation with Motion Diffusion Models CVPR 2025 Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models ICML 2025 Distill-C: Enhanced NL2SQL via Distilled Customization with LLMs NAACL 2025 Mastering the Craft of Data Synthesis for CodeLLMs NAACL 2025 SQLong: Enhanced NL2SQL for Longer Contexts with LLMs ACL 2025 SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning ICCV 2025 Taming the Real-world Complexities in CPT E/M Coding with Large Language Models EMNLP 2025 MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora EMNLP 2025 Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition CVPR 2025 HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding AAAI 2025 Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning ICLR 2024 Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue EMNLP 2024 An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models EMNLP 2024 Mitigating Language Bias of LMMs in Social Intelligence Understanding with Virtual Counterfactual Calibration EMNLP 2024 DCDiff: Dual-Domain Conditional Diffusion for CT Metal Artifact Reduction MICCAI 2024 Towards Proactive Interactions for In-Vehicle Conversational Assistants Utilizing Large Language Models IJCAI 2024 Multi-Cultural Norm Base: Frame-based Norm Discovery in Multi-Cultural Settings EMNLP 2024 Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs ACL 2024 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models ICLR 2024 Multi-Cultural Norm Base: Frame-based Norm Discovery in Multi-Cultural Settings CONLL 2024 Theia: Weakly Supervised Multimodal Event Extraction from Incomplete Data AACL 2023 Improving Machine Reading Comprehension through A Simple Masked-Training Scheme AACL 2023 CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language Pairs ACL 2023 NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery ACL 2023 On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex EACL 2023 DeSIQ: Towards an Unbiased, Challenging Benchmark for Social Intelligence Understanding EMNLP 2023 Theia: Weakly Supervised Multimodal Event Extraction from Incomplete Data IJCNLP 2023 Improving Machine Reading Comprehension through A Simple Masked-Training Scheme IJCNLP 2023 Teaching Neural Module Networks to Do Arithmetic COLING 2022 Towards relation extraction from speech EMNLP 2022 Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs NIPS 2022 Towards Open-Vocabulary Scene Graph Generation with Prompt-Based Finetuning ECCV 2022 Pretrained Language Model in Continual Learning: A Comparative Study ICLR 2022 Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text EMNLP 2021 Exploiting Scene Graphs for Human-Object Interaction Detection ICCV 2021 XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages ACL 2021 Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection ACL 2021 Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning IJCAI 2021 Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection IJCNLP 2021 XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages IJCNLP 2021 Towards Balanced Defect Prediction with Better Information Propagation AAAI 2021 Simple or Complex? Complexity-controllable Question Generation with Soft Templates and Deep Mixture of Experts Model EMNLP 2021 Curriculum-Meta Learning for Order-Robust Continual Relation Extraction AAAI 2021 Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning IJCAI 2020 Understanding Unnatural Questions Improves Reasoning over Text COLING 2020 Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases COLING 2020 Vocabulary Matters: A Simple yet Effective Approach to Paragraph-level Question Generation AACL 2020 Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation IJCAI 2020 Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning EMNLP 2020 ParaQG: A System for Generating Questions and Answers from Paragraphs EMNLP 2019 ParaQG: A System for Generating Questions and Answers from Paragraphs IJCNLP 2019 Structured Two-Stream Attention Network for Video Question Answering AAAI 2019 Putting the Horse before the Cart: A Generator-Evaluator Framework for Question Generation from Text CONLL 2019 One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Networks IJCAI 2019