Yanyan Lan

Orcid: 0000-0002-7811-3262

According to our database1, Yanyan Lan authored at least 175 papers between 2008 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding.
ACM Trans. Inf. Syst., September, 2024

Harnessing the potential of large language models in medical education: promise and pitfalls.
J. Am. Medical Informatics Assoc., February, 2024

Debiasing Counterfactual Context With Causal Inference for Multi-Turn Dialogue Reasoning.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Pre-training with fractional denoising to enhance molecular property prediction.
Nat. Mac. Intell., 2024

Label-aware Dual-view Graph Neural Network for Protein-Protein Interaction Classification.
Expert Syst. Appl., 2024

UniGEM: A Unified Approach to Generation and Property Prediction for Molecules.
CoRR, 2024

MoleculeCLA: Rethinking Molecular Benchmark via Computational Ligand-Target Binding Analysis.
CoRR, 2024

From Theory to Therapy: Reframing SBDD Model Evaluation via Practical Metrics.
CoRR, 2024

SIU: A Million-Scale Structural Small Molecule-Protein Interaction Dataset for Unbiased Bioactivity Prediction.
CoRR, 2024

Multi-level Interaction Modeling for Protein Mutational Effect Prediction.
CoRR, 2024

Contextual Molecule Representation Learning from Chemical Reaction Knowledge.
CoRR, 2024

Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Multimodal Molecular Pretraining via Modality Blending.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Sliced Denoising: A Physics-Informed Molecular Pre-Training Method.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Protein-ligand binding representation learning from fine-grained interactions.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Visual Reasoning: From State to Transformation.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

HiBERT: Detecting the illogical patterns with hierarchical BERT for multi-turn dialogue reasoning.
Neurocomputing, March, 2023

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.
AI Open, January, 2023

Equivariant Flow Matching with Hybrid Probability Transport.
CoRR, 2023

Delta Score: Improving the Binding Assessment of Structure-Based Drug Design Methods.
CoRR, 2023

Elastic Information Bottleneck.
CoRR, 2023

UniMAP: Universal SMILES-Graph Representation Learning.
CoRR, 2023

DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening.
CoRR, 2023

Unified Molecular Modeling via Modality Blending.
CoRR, 2023

Visual Transformation Telling.
CoRR, 2023

Multi-video Moment Ranking with Multimodal Clue.
CoRR, 2023

Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DrugCLIP: Contrasive Protein-Molecule Representation Learning for Virtual Screening.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D.
Proceedings of the International Conference on Machine Learning, 2023

Fractional Denoising for 3D Molecular Pre-training.
Proceedings of the International Conference on Machine Learning, 2023

2022
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

When Does Group Invariant Learning Survive Spurious Correlations?
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

From spoken dialogue to formal summary: An utterance rewriting for dialogue summarization.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Region-based Cross-modal Retrieval.
Proceedings of the International Joint Conference on Neural Networks, 2022

PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Information retrieval: a view from the Chinese IR community.
Frontiers Comput. Sci., 2021

Uncertainty Calibration for Ensemble-Based Debiasing Methods.
CoRR, 2021

Adaptive Bridge between Training and Inference for Dialogue.
CoRR, 2021

Multi-modal Self-supervised Pre-training for Regulatory Genome Across Cell Types.
CoRR, 2021

Toward the Understanding of Deep Text Matching Models for Information Retrieval.
CoRR, 2021

Pre-Trained Models: Past, Present and Future.
CoRR, 2021

WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training.
CoRR, 2021

Pre-trained models: Past, present and future.
AI Open, 2021

A Linguistic Study on Relevance Modeling in Information Retrieval.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Beyond Relevance: Trustworthy Answer Selection via Consensus Verification.
Proceedings of the WSDM '21, 2021

Uncertainty Calibration for Ensemble-Based Debiasing Methods.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Augmenting Knowledge-grounded Conversations with Sequential Knowledge Transition.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

A Discriminative Semantic Ranker for Question Retrieval.
Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

Adaptive Information Seeking for Open-Domain Question Answering.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Adaptive Bridge between Training and Inference for Dialogue Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Transductive Learning for Unsupervised Text Style Transfer.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Transformation Driven Visual Reasoning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Probing Product Description Generation via Posterior Distillation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning to Truncate Ranked Lists for Information Retrieval.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Sketch and Customize: A Counterfactual Story Generator.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Dual-factor Generation Model for Conversation.
ACM Trans. Inf. Syst., 2020

Match<sup>2</sup>: A Matching over Matching Model for Similar Question Identification.
CoRR, 2020

Robust Reinforcement Learning with Wasserstein Constraint.
CoRR, 2020

L2R2: Leveraging Ranking for Abductive Reasoning.
CoRR, 2020

Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

L2R²: Leveraging Ranking for Abductive Reasoning.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

User-Inspired Posterior Network for Recommendation Reason Generation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Reinforcement Learning to Rank with Pairwise Policy Gradient.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Match²: A Matching over Matching Model for Similar Question Identification.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Modeling Topical Relevance for Multi-Turn Dialogue Generation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Evaluating Natural Language Generation via Unbalanced Optimal Transport.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

On Layer Normalization in the Transformer Architecture.
Proceedings of the 37th International Conference on Machine Learning, 2020

On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation.
Proceedings of the 37th International Conference on Machine Learning, 2020

Beyond Language: Learning Commonsense from Images for Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Query Understanding via Intent Description Generation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Continual Domain Adaptation for Machine Reading Comprehension.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Ranking Enhanced Dialogue Generation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Structure Learning for Headline Generation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Modeling the Parameter Interactions in Ranking SVM with Low-Rank Approximation.
IEEE Trans. Knowl. Data Eng., 2019

Trend-Smooth: Accelerate Asynchronous SGD by Smoothing Parameters Using Parameter Trends.
IEEE Access, 2019

Outline Generation: Understanding the Inherent Content Structure of Documents.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Controlling Risk of Web Question Answering.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Understanding and Improving Neural Ranking Models from a Term Dependence View.
Proceedings of the Information Retrieval Technology, 2019

ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

An Adaptive Framework for Conversational Question Answering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Differentiated Distribution Recovery for Neural Text Generation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Teaching Machines to Extract Main Content for Machine Reading Comprehension.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Using Local Clocks to Reproduce Concurrency Bugs.
IEEE Trans. Software Eng., 2018

Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations.
CoRR, 2018

Sequence Tagging with Policy-Value Networks and Tree Search.
CoRR, 2018

Reducing Variance in Gradient Bandit Algorithm using Antithetic Variates Method.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

From Greedy Selection to Exploratory Decision-Making: Diverse Ranking with Policy-Value Networks.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Modeling Diverse Relevance Patterns in Ad-hoc Retrieval.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Question Type Driven Framework to Diversify Visual Question Generation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multi Page Search with Reinforcement Learning to Rank.
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018

MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server.
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018

Aggregating Neural Word Embeddings for Document Representation.
Proceedings of the Advances in Information Retrieval, 2018

Spherical Paragraph Model.
Proceedings of the Advances in Information Retrieval, 2018

Question Headline Generation for News Articles.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Neighborhood Voting: A Novel Search Scheme for Hashing.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Generative Paragraph Vector.
Proceedings of the Information Retrieval - 24th China Conference, 2018

A Deep Top-K Relevance Matching Model for Ad-hoc Retrieval.
Proceedings of the Information Retrieval - 24th China Conference, 2018

Hierarchical Answer Selection Framework for Multi-passage Machine Reading Comprehension.
Proceedings of the Information Retrieval - 24th China Conference, 2018

Text Matching with Monte Carlo Tree Search.
Proceedings of the Information Retrieval - 24th China Conference, 2018

A Comparison Between Term-Based and Embedding-Based Methods for Initial Retrieval.
Proceedings of the Information Retrieval - 24th China Conference, 2018

RI-Match: Integrating Both Representations and Interactions for Deep Semantic Matching.
Proceedings of the Information Retrieval Technology, 2018

Learning to Control the Specificity in Neural Response Generation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Tailored Sequence to Sequence Models to Different Conversation Scenarios.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Directly Optimize Diversity Evaluation Measures: A New Approach to Search Result Diversification.
ACM Trans. Intell. Syst. Technol., 2017

Query ranking model for search engine query recommendation.
Int. J. Mach. Learn. Cybern., 2017

Modeling users' search sessions for high utility query recommendation.
Inf. Retr. J., 2017

A Deep Investigation of Deep IR Models.
CoRR, 2017

MatchZoo: A Toolkit for Deep Text Matching.
CoRR, 2017

Adapting Markov Decision Process for Search Result Diversification.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Reinforcement Learning to Rank with Markov Decision Process.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Gbot at the NTCIR-13 STC-2 Task.
Proceedings of the 13th NTCIR Conference, 2017

DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Learning Visual Features from Snapshots for Web Search.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile.
Proceedings of the Information Retrieval - 23rd China conference, 2017

Dynamic-K Recommendation with Personalized Decision Boundary.
Proceedings of the Information Retrieval - 23rd China conference, 2017

Academic Access Data Analysis for Literature Recommendation.
Proceedings of the Information Retrieval - 23rd China conference, 2017

Locally Smoothed Neural Networks.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed Advertising.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
An incremental model on search engine query recommendation.
Neurocomputing, 2016

Semantic Regularities in Document Representations.
CoRR, 2016

A Study of MatchPyramid Models on Ad-hoc Retrieval.
CoRR, 2016

Your Cart tells You: Inferring Demographic Attributes from Purchase Data.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Modeling Document Novelty with Neural Tensor Network for Search Result Diversification.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Sparse Word Embeddings Using ℓ<sub>1</sub> Regularized Online Learning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Multi-task Representation Learning for Demographic Prediction.
Proceedings of the Advances in Information Retrieval, 2016

Factorizing Sequential and Historical Purchase Data for Basket Recommendation.
Proceedings of the Information Retrieval Technology, 2016

A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Text Matching as Image Recognition.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

SPAN: Understanding a Question with Its Support Answers.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Which noise affects algorithm robustness for learning to rank.
Inf. Retr. J., 2015

Recommending high-utility search engine queries via a query-recommending model.
Neurocomputing, 2015

Topic-focused Dynamic Information Filtering in Social Media.
CoRR, 2015

Structural Learning of Diverse Ranking.
CoRR, 2015

Listwise Approach for Rank Aggregation in Crowdsourcing.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Learning Hierarchical Representation Model for NextBasket Recommendation.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Next Basket Recommendation with Neural Networks.
Proceedings of the Poster Proceedings of the 9th ACM Conference on Recommender Systems, 2015

ReCBuLC: Reproducing Concurrency Bugs Using Local Clocks.
Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

Modeling Parameter Interactions in Ranking SVM.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

A Probabilistic Model for Bursty Topic Discovery in Microblogs.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
BTM: Topic Modeling over Short Texts.
IEEE Trans. Knowl. Data Eng., 2014

Position-Aware ListMLE: A Sequential Learning Process for Ranking.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Learning for search result diversification.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

What makes data robust: a data analysis in learning to rank.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Local Linear Matrix Factorization for Document Modeling.
Proceedings of the Advances in Information Retrieval, 2014

Modeling Retail Transaction Data for Personalized Shopping Recommendation.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Personalized paper recommendation in online social scholar system.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Name Disambiguation by Collective Classification.
Proceedings of the Information Retrieval Technology, 2014

2013
A biterm topic model for short texts.
Proceedings of the 22nd International World Wide Web Conference, 2013

Group sparse topical coding: from code to topic.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Stochastic Rank Aggregation.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Informational friend recommendation in social media.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Collaborative factorization for recommender systems.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

A Novel Relational Learning-to-Rank Approach for Topic-Focused Multi-document Summarization.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Recommending High Utility Query via Session-Flow Graph.
Proceedings of the Advances in Information Retrieval, 2013

Is top-k sufficient for ranking?
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Top-k learning to rank: labeling, ranking and evaluation.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

More than relevance: high utility query recommendation by mining users' search behaviors.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

A new probabilistic model for top-k ranking problem.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Exploring and Exploiting Proximity Statistic for Information Retrieval Model.
Proceedings of the Information Retrieval Technology, 2012

2009
Ranking Measures and Loss Functions in Learning to Rank.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Generalization analysis of listwise learning-to-rank algorithms.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Query-level stability and generalization in learning to rank.
Proceedings of the Machine Learning, 2008


  Loading...