Yanyan Lan

Learning Protein–Ligand Binding in Hyperbolic Space AAAI 2026 S²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening AAAI 2026 Redefining the task of Bioactivity Prediction ICLR 2025 Reframing Structure-Based Drug Design Model Evaluation via Metrics Correlated to Practical Needs ICLR 2025 UniGEM: A Unified Approach to Generation and Property Prediction for Molecules ICLR 2025 Multimodal Molecular Pretraining via Modality Blending ICLR 2024 Protein-ligand binding representation learning from fine-grained interactions ICLR 2024 Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion ICML 2024 Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment ICLR 2024 Sliced Denoising: A Physics-Informed Molecular Pre-Training Method ICLR 2024 UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning ICML 2024 Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D ICML 2023 DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening NeurIPS 2023 Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation NeurIPS 2023 Fractional Denoising for 3D Molecular Pre-training ICML 2023 From spoken dialogue to formal summary: An utterance rewriting for dialogue summarization NAACL 2022 When Does Group Invariant Learning Survive Spurious Correlations? NeurIPS 2022 Adaptive Bridge between Training and Inference for Dialogue Generation EMNLP 2021 Adaptive Information Seeking for Open-Domain Question Answering EMNLP 2021 Augmenting Knowledge-grounded Conversations with Sequential Knowledge Transition NAACL 2021 FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning EMNLP 2021 Learning to Truncate Ranked Lists for Information Retrieval AAAI 2021 Probing Product Description Generation via Posterior Distillation AAAI 2021 Sketch and Customize: A Counterfactual Story Generator AAAI 2021 Transductive Learning for Unsupervised Text Style Transfer EMNLP 2021 Transformation Driven Visual Reasoning CVPR 2021 Uncertainty Calibration for Ensemble-Based Debiasing Methods NeurIPS 2021 Beyond Language: Learning Commonsense from Images for Reasoning EMNLP 2020 Evaluating Natural Language Generation via Unbalanced Optimal Transport IJCAI 2020 Modeling Topical Relevance for Multi-Turn Dialogue Generation IJCAI 2020 On Layer Normalization in the Transformer Architecture ICML 2020 On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation ICML 2020 Structure Learning for Headline Generation AAAI 2020 An Adaptive Framework for Conversational Question Answering AAAI 2019 Differentiated Distribution Recovery for Neural Text Generation AAAI 2019 HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering AAAI 2019 ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation ACL 2019 Teaching Machines to Extract Main Content for Machine Reading Comprehension AAAI 2019 A Question Type Driven Framework to Diversify Visual Question Generation IJCAI 2018 Learning to Control the Specificity in Neural Response Generation ACL 2018 Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation IJCAI 2018 Tailored Sequence to Sequence Models to Different Conversation Scenarios ACL 2018 Locally Smoothed Neural Networks ACML 2017 Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN IJCAI 2016 Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations ACL 2015 Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space NeurIPS 2012 Ranking Measures and Loss Functions in Learning to Rank NeurIPS 2009