Lan, Yanyan

54 publications

NeurIPS 2025 AANet: Virtual Screening Under Structural Uncertainty via Alignment and Aggregation Wenyu Zhu, Jianhui Wang, Bowen Gao, Yinjun Jia, Haichuan Tan, Ya-Qin Zhang, Wei-Ying Ma, Yanyan Lan

NeurIPS 2025 CIDD: Collaborative Intelligence for Structure-Based Drug Design Empowered by LLMs Bowen Gao, Yanwen Huang, Yiqiao Liu, Wenxuan Xie, Bowei He, Haichuan Tan, Wei-Ying Ma, Ya-Qin Zhang, Yanyan Lan

NeurIPS 2025 CPSea: Large-Scale Cyclic Peptide-Protein Complex Dataset for Machine Learning in Cyclic Peptide Design Ziyi Yang, Hanyuan Xie, Yinjun Jia, Xiangzhe Kong, Jiqing Zheng, Ziting Zhang, Yang Liu, Lei Liu, Yanyan Lan

NeurIPS 2025 FIGRDock: Fast Interaction-Guided Regression for Flexible Docking Shikun Feng, Bicheng Lin, Yuanhuan Mo, Yuyan Ni, Wenyu Zhu, Bowen Gao, Wei-Ying Ma, Haitao Li, Yanyan Lan

NeurIPS 2025 Manipulating 3D Molecules in a Fixed-Dimensional E(3)-Equivariant Latent Space Zitao Chen, Yinjun Jia, Zitong Tian, Wei-Ying Ma, Yanyan Lan

ICLR 2025 Redefining the Task of Bioactivity Prediction Yanwen Huang, Bowen Gao, Yinjun Jia, Hongbo Ma, Wei-Ying Ma, Ya-Qin Zhang, Yanyan Lan

ICLR 2025 Reframing Structure-Based Drug Design Model Evaluation via Metrics Correlated to Practical Needs Bowen Gao, Haichuan Tan, Yanwen Huang, Minsi Ren, Xiao Huang, Wei-Ying Ma, Ya-Qin Zhang, Yanyan Lan

NeurIPS 2025 Straight-Line Diffusion Model for Efficient 3D Molecular Generation Yuyan Ni, Shikun Feng, Haohan Chi, Bowen Zheng, Huan-ang Gao, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan

ICLR 2025 UniGEM: A Unified Approach to Generation and Property Prediction for Molecules Shikun Feng, Yuyan Ni, Lu Yan, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan

ICLR 2024 Multimodal Molecular Pretraining via Modality Blending Qiying Yu, Yudi Zhang, Yuyan Ni, Shikun Feng, Yanyan Lan, Hao Zhou, Jingjing Liu

ICLR 2024 Protein-Ligand Binding Representation Learning from Fine-Grained Interactions Shikun Feng, Minghao Li, Yinjun Jia, Wei-Ying Ma, Yanyan Lan

ICML 2024 Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion Bowen Gao, Minsi Ren, Yuyan Ni, Yanwen Huang, Bo Qiang, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan

ICLR 2024 Self-Supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment Bowen Gao, Yinjun Jia, YuanLe Mo, Yuyan Ni, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan

ICLR 2024 Sliced Denoising: A Physics-Informed Molecular Pre-Training Method Yuyan Ni, Shikun Feng, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan

ICML 2024 UniCorn: A Unified Contrastive Learning Approach for Multi-View Molecular Representation Learning Shikun Feng, Yuyan Ni, Minghao Li, Yanwen Huang, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan

ICML 2023 Coarse-to-Fine: A Hierarchical Diffusion Model for Molecule Generation in 3D Bo Qiang, Yuxuan Song, Minkai Xu, Jingjing Gong, Bowen Gao, Hao Zhou, Wei-Ying Ma, Yanyan Lan

NeurIPSW 2023 Delta Score: Improving the Binding Assessment of Structure-Based Drug Design Methods Minsi Ren, Bowen Gao, Bo Qiang, Yanyan Lan

NeurIPS 2023 DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening Bowen Gao, Bo Qiang, Haichuan Tan, Yinjun Jia, Minsi Ren, Minsi Lu, Jingjing Liu, Wei-Ying Ma, Yanyan Lan

NeurIPS 2023 Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation Yuxuan Song, Jingjing Gong, Minkai Xu, Ziyao Cao, Yanyan Lan, Stefano Ermon, Hao Zhou, Wei-Ying Ma

ICML 2023 Fractional Denoising for 3D Molecular Pre-Training Shikun Feng, Yuyan Ni, Yanyan Lan, Zhi-Ming Ma, Wei-Ying Ma

NeurIPS 2022 When Does Group Invariant Learning Survive Spurious Correlations? Yimeng Chen, Ruibin Xiong, Zhi-Ming Ma, Yanyan Lan

AAAI 2021 Learning to Truncate Ranked Lists for Information Retrieval Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng

NeurIPSW 2021 Multi-Modal Self-Supervised Pre-Training for Large-Scale Genome Data Shentong Mo, Xi Fu, Chenyang Hong, Yizhen Chen, Yuxuan Zheng, Xiangru Tang, Yanyan Lan, Zhiqiang Shen, Eric Xing

AAAI 2021 Probing Product Description Generation via Posterior Distillation Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Yanyan Lan

AAAI 2021 Sketch and Customize: A Counterfactual Story Generator Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng

CVPR 2021 Transformation Driven Visual Reasoning Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng

NeurIPS 2021 Uncertainty Calibration for Ensemble-Based Debiasing Methods Ruibin Xiong, Yimeng Chen, Liang Pang, Xueqi Cheng, Zhi-Ming Ma, Yanyan Lan

IJCAI 2020 Evaluating Natural Language Generation via Unbalanced Optimal Transport Yimeng Chen, Yanyan Lan, Ruibin Xiong, Liang Pang, Zhiming Ma, Xueqi Cheng

IJCAI 2020 Modeling Topical Relevance for Multi-Turn Dialogue Generation Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin

ICML 2020 On Layer Normalization in the Transformer Architecture Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tieyan Liu

ICML 2020 On the Relation Between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation Jianing Li, Yanyan Lan, Jiafeng Guo, Xueqi Cheng

AAAI 2020 Structure Learning for Headline Generation Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng

AAAI 2019 An Adaptive Framework for Conversational Question Answering Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, Xueqi Cheng

AAAI 2019 Differentiated Distribution Recovery for Neural Text Generation Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng

AAAI 2019 HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng

AAAI 2019 Teaching Machines to Extract Main Content for Machine Reading Comprehension Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng

IJCAI 2018 A Question Type Driven Framework to Diversify Visual Question Generation Zhihao Fan, Zhongyu Wei, Piji Li, Yanyan Lan, Xuanjing Huang

AAAI 2018 Fast Approximate Nearest Neighbor Search via K-Diverse Nearest Neighbor Graph Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng

IJCAI 2018 Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng

AAAI 2017 Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed Advertising Jia Zhang, Zheng Wang, Qian Li, Jialin Zhang, Yanyan Lan, Qiang Li, Xiaoming Sun

ACML 2017 Locally Smoothed Neural Networks Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng

AAAI 2016 A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng

AAAI 2016 Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng

IJCAI 2016 Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, Xueqi Cheng

AAAI 2016 SPAN: Understanding a Question with Its Support Answers Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng

IJCAI 2016 Sparse Word Embeddings Using ℓ1 Regularized Online Learning Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng

AAAI 2016 Text Matching as Image Recognition Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng

AAAI 2015 A Probabilistic Model for Bursty Topic Discovery in Microblogs Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng

UAI 2014 Position-Aware ListMLE: A Sequential Learning Process for Ranking Yanyan Lan, Yadong Zhu, Jiafeng Guo, Shuzi Niu, Xueqi Cheng

UAI 2013 Stochastic Rank Aggregation Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng

NeurIPS 2012 Statistical Consistency of Ranking Methods in a Rank-Differentiable Probability Space Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Tie-yan Liu

ICML 2009 Generalization Analysis of Listwise Learning-to-Rank Algorithms Yanyan Lan, Tie-Yan Liu, Zhiming Ma, Hang Li

NeurIPS 2009 Ranking Measures and Loss Functions in Learning to Rank Wei Chen, Tie-yan Liu, Yanyan Lan, Zhi-ming Ma, Hang Li

ICML 2008 Query-Level Stability and Generalization in Learning to Rank Yanyan Lan, Tie-Yan Liu, Tao Qin, Zhiming Ma, Hang Li