Yanyan Lan
48 papers · 2009–2026 · 11 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+14 more ↓ Show less ↑
π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (12) π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (11)
π
Interdisciplinary Bridge
π
Conference Polyglot
(11)
πΊοΈ
Taxonomy Completionist
(12)
π
Keyword Trendsetter Combo
(3)
π
Keyword Champion
π
Grand Slam
π€
Dynamic Duo
(23)
π
Trend Setter
π
Conference Pioneer
π₯
Unstoppable
(11)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(202)
π
Century Club
(46)
β
The Questioner
Conferences
AAAI (10)
ICLR (7)
ICML (6)
NIPS (6)
EMNLP (5)
IJCAI (5)
ACL (4)
NAACL (2)
ACML (1)
CVPR (1)
IJCNLP (1)
Top co-authors
Keywords
response generation
(5)
text generation
(5)
dialogue system
(3)
virtual screening
(3)
dialogue generation
(3)
reinforcement learning
(3)
multi-turn dialogue
(2)
drug discovery
(2)
image understanding
(2)
markov decision process
(2)
diffusion model
(2)
loss function
(2)
contrastive learning
(2)
molecule generation
(2)
visual reasoning
(2)
learning to rank
(2)
transformer architecture
(2)
information retrieval
(2)
representation learning
(2)
text summarization
(2)
Papers
SΒ²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening
AAAI 2026
Learning ProteinβLigand Binding in Hyperbolic Space
AAAI 2026
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
Redefining the task of Bioactivity Prediction
ICLR 2025
Sliced Denoising: A Physics-Informed Molecular Pre-Training Method
ICLR 2024
Protein-ligand binding representation learning from fine-grained interactions
ICLR 2024
Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment
ICLR 2024
Multimodal Molecular Pretraining via Modality Blending
ICLR 2024
UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning
ICML 2024
Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion
ICML 2024
DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening
NIPS 2023
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D
ICML 2023
Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation
NIPS 2023
Fractional Denoising for 3D Molecular Pre-training
ICML 2023
When Does Group Invariant Learning Survive Spurious Correlations?
NIPS 2022
From spoken dialogue to formal summary: An utterance rewriting for dialogue summarization
NAACL 2022
FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning
EMNLP 2021
Uncertainty Calibration for Ensemble-Based Debiasing Methods
NIPS 2021
Learning to Truncate Ranked Lists for Information Retrieval
AAAI 2021
Sketch and Customize: A Counterfactual Story Generator
AAAI 2021
Probing Product Description Generation via Posterior Distillation
AAAI 2021
Transformation Driven Visual Reasoning
CVPR 2021
Transductive Learning for Unsupervised Text Style Transfer
EMNLP 2021
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
On Layer Normalization in the Transformer Architecture
ICML 2020
Structure Learning for Headline Generation
AAAI 2020
Modeling Topical Relevance for Multi-Turn Dialogue Generation
IJCAI 2020
Evaluating Natural Language Generation via Unbalanced Optimal Transport
IJCAI 2020
Beyond Language: Learning Commonsense from Images for Reasoning
EMNLP 2020
On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation
ICML 2020
Teaching Machines to Extract Main Content for Machine Reading Comprehension
AAAI 2019
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation
ACL 2019
An Adaptive Framework for Conversational Question Answering
AAAI 2019
HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering
AAAI 2019
Differentiated Distribution Recovery for Neural Text Generation
AAAI 2019
Learning to Control the Specificity in Neural Response Generation
ACL 2018
A Question Type Driven Framework to Diversify Visual Question Generation
IJCAI 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
Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations
IJCNLP 2015
Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space
NIPS 2012
Ranking Measures and Loss Functions in Learning to Rank
NIPS 2009