Yanyan Lan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
108
Venues
20
Active years
2008–2026
Best venue rank
A*
Where they publish
Papers
108 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | S²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening. | Bowei He, Bowen Gao, Yankai Chen, Yanyan Lan, Chen Ma, Philip S. Yu, Ya-Qin Zhang, Wei-Ying Ma |
| 2026 | AAAI | Learning Protein-Ligand Binding in Hyperbolic Space. | Jianhui Wang, Wenyu Zhu, Bowen Gao, Xin Hong, Ya-Qin Zhang, Wei-Ying Ma, Yanyan Lan |
| 2026 | ECIR | Event-Aware Video Corpus Moment Retrieval. | Danyang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng |
| 2025 | ICLR | UniGEM: A Unified Approach to Generation and Property Prediction for Molecules. | Shikun Feng, Yuyan Ni, Yan Lu, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Redefining the task of Bioactivity Prediction. | Yanwen Huang, Bowen Gao, Yinjun Jia, Hongbo Ma, Wei-Ying Ma, Ya-Qin Zhang, Yanyan Lan |
| 2024 | ICLR | Protein-ligand binding representation learning from fine-grained interactions. | Shikun Feng, Minghao Li, Yinjun Jia, Wei-Ying Ma, Yanyan Lan |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Sliced Denoising: A Physics-Informed Molecular Pre-Training Method. | Yuyan Ni, Shikun Feng, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan |
| 2024 | ICLR | Multimodal Molecular Pretraining via Modality Blending. | Qiying Yu, Yudi Zhang, Yuyan Ni, Shikun Feng, Yanyan Lan, Hao Zhou, Jingjing Liu |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2023 | ICML | Fractional Denoising for 3D Molecular Pre-training. | Shikun Feng, Yuyan Ni, Yanyan Lan, Zhi-Ming Ma, Wei-Ying Ma |
| 2023 | ICML | 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 |
| 2022 | CIKM | PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction. | Yuancheng Sun, Yimeng Chen, Weizhi Ma, Wenhao Huang, Kang Liu, Zhiming Ma, Wei-Ying Ma, Yanyan Lan |
| 2022 | IJCNN | Region-based Cross-modal Retrieval. | Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng |
| 2022 | NAACL | From spoken dialogue to formal summary: An utterance rewriting for dialogue summarization. | Yue Fang, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Bo Long, Yanyan Lan, Yanquan Zhou |
| 2022 | SIGIR | LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback. | Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng |
| 2021 | AAAI | Sketch and Customize: A Counterfactual Story Generator. | Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng |
| 2021 | AAAI | Learning to Truncate Ranked Lists for Information Retrieval. | Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2021 | AAAI | Probing Product Description Generation via Posterior Distillation. | Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Yanyan Lan |
| 2021 | CIKM | Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching. | Liang Pang, Yanyan Lan, Xueqi Cheng |
| 2021 | CVPR | Transformation Driven Visual Reasoning. | Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng |
| 2021 | EMNLP | FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning. | Xu Wang, Hainan Zhang, Shuai Zhao, Yanyan Zou, Hongshen Chen, Zhuoye Ding, Bo Cheng, Yanyan Lan |
| 2021 | EMNLP | Transductive Learning for Unsupervised Text Style Transfer. | Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen, Xueqi Cheng |
| 2021 | EMNLP | Adaptive Bridge between Training and Inference for Dialogue Generation. | Haoran Xu, Hainan Zhang, Yanyan Zou, Hongshen Chen, Zhuoye Ding, Yanyan Lan |
| 2021 | EMNLP | Adaptive Information Seeking for Open-Domain Question Answering. | Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng |
| 2021 | ICTIR | A Discriminative Semantic Ranker for Question Retrieval. | Yinqiong Cai, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Yanyan Lan, Xueqi Cheng |
| 2021 | NAACL | Augmenting Knowledge-grounded Conversations with Sequential Knowledge Transition. | Haolan Zhan, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Yongjun Bao, Yanyan Lan |
| 2021 | WWW | A Linguistic Study on Relevance Modeling in Information Retrieval. | Yixing Fan, Jiafeng Guo, Xinyu Ma, Ruqing Zhang, Yanyan Lan, Xueqi Cheng |
| 2021 | WSDM | Beyond Relevance: Trustworthy Answer Selection via Consensus Verification. | Lixin Su, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Jiangui Chen, Yanyan Lan, Xueqi Cheng |
| 2020 | AAAI | Structure Learning for Headline Generation. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2020 | CIKM | Ranking Enhanced Dialogue Generation. | Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng |
| 2020 | CIKM | Continual Domain Adaptation for Machine Reading Comprehension. | Lixin Su, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2020 | CIKM | Query Understanding via Intent Description Generation. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2020 | EMNLP | Beyond Language: Learning Commonsense from Images for Reasoning. | Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng |
| 2020 | ICML | On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation. | Jianing Li, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2020 | ICML | 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, Tie-Yan Liu |
| 2020 | IJCAI | Evaluating Natural Language Generation via Unbalanced Optimal Transport. | Yimeng Chen, Yanyan Lan, Ruibin Xiong, Liang Pang, Zhiming Ma, Xueqi Cheng |
| 2020 | IJCAI | Modeling Topical Relevance for Multi-Turn Dialogue Generation. | Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin |
| 2020 | SIGIR | SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. | Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen |
| 2020 | SIGIR | Match²: A Matching over Matching Model for Similar Question Identification. | Zizhen Wang, Yixing Fan, Jiafeng Guo, Liu Yang, Ruqing Zhang, Yanyan Lan, Xueqi Cheng, Hui Jiang, Xiaozhao Wang |
| 2020 | SIGIR | Reinforcement Learning to Rank with Pairwise Policy Gradient. | Jun Xu, Zeng Wei, Long Xia, Yanyan Lan, Dawei Yin, Xueqi Cheng, Ji-Rong Wen |
| 2020 | SIGIR | User-Inspired Posterior Network for Recommendation Reason Generation. | Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Yanyan Lan, Zhuoye Ding, Dawei Yin |
| 2020 | SIGIR | L2R²: Leveraging Ranking for Abductive Reasoning. | Yunchang Zhu, Liang Pang, Yanyan Lan, Xueqi Cheng |
| 2020 | WSDM | Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension. | Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2019 | AAAI | Teaching Machines to Extract Main Content for Machine Reading Comprehension. | Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng |
| 2019 | AAAI | Differentiated Distribution Recovery for Neural Text Generation. | Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng |
| 2019 | AAAI | HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering. | Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng |
| 2019 | AAAI | An Adaptive Framework for Conversational Question Answering. | Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, Xueqi Cheng |
| 2019 | ACL | ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation. | Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng |
| 2019 | SIGIR | Controlling Risk of Web Question Answering. | Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2019 | SIGIR | Outline Generation: Understanding the Inherent Content Structure of Documents. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2018 | AAAI | Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph. | Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | ACL | Tailored Sequence to Sequence Models to Different Conversation Scenarios. | Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng |
| 2018 | ACL | Learning to Control the Specificity in Neural Response Generation. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | CIKM | Neighborhood Voting: A Novel Search Scheme for Hashing. | Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | CIKM | Question Headline Generation for News Articles. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Huanhuan Cao, Xueqi Cheng |
| 2018 | ECIR | Spherical Paragraph Model. | Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | ECIR | Aggregating Neural Word Embeddings for Document Representation. | Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | IJCAI | A Question Type Driven Framework to Diversify Visual Question Generation. | Zhihao Fan, Zhongyu Wei, Piji Li, Yanyan Lan, Xuanjing Huang |
| 2018 | IJCAI | Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation. | Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng |
| 2018 | ICTIR | MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server. | Guoxin Cui, Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2018 | ICTIR | Multi Page Search with Reinforcement Learning to Rank. | Wei Zeng, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2018 | SIGIR | Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. | Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, Xueqi Cheng |
| 2018 | SIGIR | From Greedy Selection to Exploratory Decision-Making: Diverse Ranking with Policy-Value Networks. | Yue Feng, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng |
| 2018 | SIGIR | Reducing Variance in Gradient Bandit Algorithm using Antithetic Variates Method. | Sihao Yu, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2017 | AAAI | 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 |
| 2017 | ACML | Locally Smoothed Neural Networks. | Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng |
| 2017 | CIKM | Learning Visual Features from Snapshots for Web Search. | Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang, Xueqi Cheng |
| 2017 | CIKM | DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval. | Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Jingfang Xu, Xueqi Cheng |
| 2017 | SIGIR | Reinforcement Learning to Rank with Markov Decision Process. | Zheng Wei, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2017 | SIGIR | Adapting Markov Decision Process for Search Result Diversification. | Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng |
| 2016 | AAAI | SPAN: Understanding a Question with Its Support Answers. | Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng |
| 2016 | AAAI | Text Matching as Image Recognition. | Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng |
| 2016 | AAAI | Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations. | Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2016 | AAAI | A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations. | Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng |
| 2016 | ECIR | Multi-task Representation Learning for Demographic Prediction. | Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2016 | IJCAI | Sparse Word Embeddings Using ℓ | Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2016 | IJCAI | Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN. | Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, Xueqi Cheng |
| 2016 | SIGIR | Modeling Document Novelty with Neural Tensor Network for Search Result Diversification. | Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2016 | WSDM | Your Cart tells You: Inferring Demographic Attributes from Purchase Data. | Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2015 | AAAI | A Probabilistic Model for Bursty Topic Discovery in Microblogs. | Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2015 | ACL | Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations. | Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2015 | CIKM | Modeling Parameter Interactions in Ranking SVM. | Yaogong Zhang, Jun Xu, Yanyan Lan, Jiafeng Guo, Maoqiang Xie, Yalou Huang, Xueqi Cheng |
| 2015 | ICSE | ReCBuLC: Reproducing Concurrency Bugs Using Local Clocks. | Xiang Yuan, Chenggang Wu, Zhenjiang Wang, Jianjun Li, Pen-Chung Yew, Jeff Huang, Xiaobing Feng, Yanyan Lan, Yunji Chen, Yong Guan |
| 2015 | RecSys | Next Basket Recommendation with Neural Networks. | Shengxian Wan, Yanyan Lan, Pengfei Wang, Jiafeng Guo, Jun Xu, Xueqi Cheng |
| 2015 | SIGIR | Learning Hierarchical Representation Model for NextBasket Recommendation. | Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Shengxian Wan, Xueqi Cheng |
| 2015 | SIGIR | Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures. | Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2015 | WSDM | Listwise Approach for Rank Aggregation in Crowdsourcing. | Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Lei Yu, Guoping Long |
| 2014 | CIKM | Modeling Retail Transaction Data for Personalized Shopping Recommendation. | Pengfei Wang, Jiafeng Guo, Yanyan Lan |
| 2014 | ECIR | Local Linear Matrix Factorization for Document Modeling. | Lu Bai, Jiafeng Guo, Yanyan Lan, Xueqi Cheng |
| 2014 | SIGIR | What makes data robust: a data analysis in learning to rank. | Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Xiubo Geng |
| 2014 | SIGIR | Learning for search result diversification. | Yadong Zhu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Shuzi Niu |
| 2014 | UAI | Position-Aware ListMLE: A Sequential Learning Process for Ranking. | Yanyan Lan, Yadong Zhu, Jiafeng Guo, Shuzi Niu, Xueqi Cheng |
| 2013 | CIKM | Is top-k sufficient for ranking? | Yanyan Lan, Shuzi Niu, Jiafeng Guo, Xueqi Cheng |
| 2013 | ECIR | Recommending High Utility Query via Session-Flow Graph. | Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Yanyan Lan, Wolfgang Nejdl |
| 2013 | ICDM | A Novel Relational Learning-to-Rank Approach for Topic-Focused Multi-document Summarization. | Yadong Zhu, Yanyan Lan, Jiafeng Guo, Pan Du, Xueqi Cheng |
| 2013 | WWW | A biterm topic model for short texts. | Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng |
| 2013 | SIGIR | Collaborative factorization for recommender systems. | Chaosheng Fan, Yanyan Lan, Jiafeng Guo, Zuoquan Lin, Xueqi Cheng |
| 2013 | SIGIR | Informational friend recommendation in social media. | Shengxian Wan, Yanyan Lan, Jiafeng Guo, Chaosheng Fan, Xueqi Cheng |
| 2013 | UAI | Stochastic Rank Aggregation. | Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2013 | WSDM | Group sparse topical coding: from code to topic. | Lu Bai, Jiafeng Guo, Yanyan Lan, Xueqi Cheng |
| 2012 | CIKM | A new probabilistic model for top-k ranking problem. | Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2012 | CIKM | More than relevance: high utility query recommendation by mining users' search behaviors. | Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Yanyan Lan |
| 2012 | SIGIR | Top-k learning to rank: labeling, ranking and evaluation. | Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng |
| 2009 | ICML | Generalization analysis of listwise learning-to-rank algorithms. | Yanyan Lan, Tie-Yan Liu, Zhiming Ma, Hang Li |
| 2008 | ICML | Query-level stability and generalization in learning to rank. | Yanyan Lan, Tie-Yan Liu, Tao Qin, Zhiming Ma, Hang Li |