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2020 – today
- 2024
- [j20]Xiaofei Zhu
, Xinsheng Wang, Yanyan Lan, Xin Feng, Xiaoyang Liu
, Di Ming
:
Label-aware Dual-view Graph Neural Network for Protein-Protein Interaction Classification. Expert Syst. Appl. 247: 123216 (2024) - [j19]Trista M. Benítez, Yueyuan Xu, J. Donald Boudreau, Alfred Wei Chieh Kow, Fernando Bello, Le Van Phuoc, Xiaofei Wang, Xiaodong Sun, Gilberto Ka-Kit Leung, Yanyan Lan, Yaxing Wang, Davy Cheng, Yih Chung Tham
, Tien Yin Wong
, Kevin C. Chung:
Harnessing the potential of large language models in medical education: promise and pitfalls. J. Am. Medical Informatics Assoc. 31(3): 776-783 (2024) - [j18]Xu Wang
, Hainan Zhang
, Shuai Zhao
, Hongshen Chen
, Zhuoye Ding
, Zhiguo Wan
, Bo Cheng
, Yanyan Lan
:
Debiasing Counterfactual Context With Causal Inference for Multi-Turn Dialogue Reasoning. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1125-1132 (2024) - [j17]Yunchang Zhu
, Liang Pang
, Kangxi Wu
, Yanyan Lan
, Huawei Shen
, Xueqi Cheng
:
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding. ACM Trans. Inf. Syst. 42(5): 123:1-123:29 (2024) - [c121]Shikun Feng, Minghao Li, Yinjun Jia, Wei-Ying Ma, Yanyan Lan:
Protein-ligand binding representation learning from fine-grained interactions. ICLR 2024 - [c120]Bowen Gao, Yinjun Jia, Yuanle Mo, Yuyan Ni, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan:
Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment. ICLR 2024 - [c119]Yuyan Ni, Shikun Feng, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan:
Sliced Denoising: A Physics-Informed Molecular Pre-Training Method. ICLR 2024 - [c118]Qiying Yu, Yudi Zhang, Yuyan Ni, Shikun Feng, Yanyan Lan, Hao Zhou, Jingjing Liu:
Multimodal Molecular Pretraining via Modality Blending. ICLR 2024 - [i79]Han Tang, Shikun Feng, Bicheng Lin, Yuyan Ni, Jingjing Liu, Wei-Ying Ma, Yanyan Lan:
Contextual Molecule Representation Learning from Chemical Reaction Knowledge. CoRR abs/2402.13779 (2024) - [i78]Bowen Gao, Minsi Ren, Yuyan Ni, Yanwen Huang, Bo Qiang, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan:
Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion. CoRR abs/2403.12987 (2024) - [i77]Shikun Feng, Yuyan Ni, Minghao Li, Yanwen Huang, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan:
UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning. CoRR abs/2405.10343 (2024) - [i76]Yuanle Mo, Xin Hong, Bowen Gao, Yinjun Jia, Yanyan Lan:
Multi-level Interaction Modeling for Protein Mutational Effect Prediction. CoRR abs/2405.17802 (2024) - [i75]Yanwen Huang, Bowen Gao, Yinjun Jia, Hongbo Ma, Wei-Ying Ma, Ya-Qin Zhang, Yanyan Lan:
SIU: A Million-Scale Structural Small Molecule-Protein Interaction Dataset for Unbiased Bioactivity Prediction. CoRR abs/2406.08961 (2024) - [i74]Bowen Gao, Haichuan Tan, Yanwen Huang, Minsi Ren, Xiao Huang, Wei-Ying Ma, Ya-Qin Zhang, Yanyan Lan:
From Theory to Therapy: Reframing SBDD Model Evaluation via Practical Metrics. CoRR abs/2406.08980 (2024) - [i73]Shikun Feng, Jiaxin Zheng, Yinjun Jia, Yanwen Huang, Fengfeng Zhou, Wei-Ying Ma, Yanyan Lan:
MoleculeCLA: Rethinking Molecular Benchmark via Computational Ligand-Target Binding Analysis. CoRR abs/2406.17797 (2024) - 2023
- [j16]Qingyao Ai
, Ting Bai, Zhao Cao
, Yi Chang, Jiawei Chen
, Zhumin Chen, Zhiyong Cheng, Shoubin Dong
, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma
, Zhaochun Ren
, Pengjie Ren, Zhiqiang Wang, Mingwen Wang
, Ji-Rong Wen
, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
:
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open 4: 80-90 (2023) - [j15]Xu Wang, Hainan Zhang, Shuai Zhao, Hongshen Chen, Bo Cheng, Zhuoye Ding, Sulong Xu, Weipeng Yan, Yanyan Lan:
HiBERT: Detecting the illogical patterns with hierarchical BERT for multi-turn dialogue reasoning. Neurocomputing 524: 167-177 (2023) - [j14]Xin Hong
, Yanyan Lan
, Liang Pang
, Jiafeng Guo
, Xueqi Cheng
:
Visual Reasoning: From State to Transformation. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11352-11364 (2023) - [c117]Shikun Feng, Yuyan Ni, Yanyan Lan, Zhi-Ming Ma, Wei-Ying Ma:
Fractional Denoising for 3D Molecular Pre-training. ICML 2023: 9938-9961 - [c116]Bo Qiang, Yuxuan Song, Minkai Xu, Jingjing Gong, Bowen Gao, Hao Zhou, Wei-Ying Ma, Yanyan Lan:
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D. ICML 2023: 28277-28299 - [c115]Bowen Gao, Bo Qiang, Haichuan Tan, Yinjun Jia, Minsi Ren, Minsi Lu, Jingjing Liu, Wei-Ying Ma, Yanyan Lan:
DrugCLIP: Contrasive Protein-Molecule Representation Learning for Virtual Screening. NeurIPS 2023 - [c114]Yuxuan Song, Jingjing Gong, Minkai Xu, Ziyao Cao, Yanyan Lan, Stefano Ermon, Hao Zhou, Wei-Ying Ma:
Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation. NeurIPS 2023 - [i72]Yunchang Zhu, Liang Pang, Kangxi Wu, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding. CoRR abs/2301.03765 (2023) - [i71]Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Multi-video Moment Ranking with Multimodal Clue. CoRR abs/2301.13606 (2023) - [i70]Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Visual Reasoning: from State to Transformation. CoRR abs/2305.01668 (2023) - [i69]Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Visual Transformation Telling. CoRR abs/2305.01928 (2023) - [i68]Bo Qiang, Yuxuan Song, Minkai Xu, Jingjing Gong, Bowen Gao, Hao Zhou, Wei-Ying Ma, Yanyan Lan:
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D. CoRR abs/2305.13266 (2023) - [i67]Qiying Yu, Yudi Zhang, Yuyan Ni, Shikun Feng, Yanyan Lan, Hao Zhou, Jingjing Liu:
Unified Molecular Modeling via Modality Blending. CoRR abs/2307.06235 (2023) - [i66]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR abs/2307.09751 (2023) - [i65]Shikun Feng, Yuyan Ni, Yanyan Lan, Zhi-Ming Ma, Wei-Ying Ma:
Fractional Denoising for 3D Molecular Pre-training. CoRR abs/2307.10683 (2023) - [i64]Bowen Gao, Bo Qiang, Haichuan Tan, Minsi Ren, Yinjun Jia, Minsi Lu, Jingjing Liu, Wei-Ying Ma, Yanyan Lan:
DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening. CoRR abs/2310.06367 (2023) - [i63]Bowen Gao, Yinjun Jia, Yuanle Mo, Yuyan Ni, Wei-Ying Ma, Zhiming Ma, Yanyan Lan:
Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment. CoRR abs/2310.07229 (2023) - [i62]Shikun Feng, Lixin Yang, Wei-Ying Ma, Yanyan Lan:
UniMAP: Universal SMILES-Graph Representation Learning. CoRR abs/2310.14216 (2023) - [i61]Yuyan Ni, Shikun Feng, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan:
Sliced Denoising: A Physics-Informed Molecular Pre-Training Method. CoRR abs/2311.02124 (2023) - [i60]Yuyan Ni, Yanyan Lan, Ao Liu, Zhiming Ma:
Elastic Information Bottleneck. CoRR abs/2311.03955 (2023) - [i59]Minsi Ren, Bowen Gao, Bo Qiang, Yanyan Lan:
Delta Score: Improving the Binding Assessment of Structure-Based Drug Design Methods. CoRR abs/2311.12035 (2023) - [i58]Shikun Feng, Minghao Li, Yinjun Jia, Wei-Ying Ma, Yanyan Lan:
Protein-ligand binding representation learning from fine-grained interactions. CoRR abs/2311.16160 (2023) - [i57]Yuxuan Song, Jingjing Gong, Minkai Xu, Ziyao Cao, Yanyan Lan, Stefano Ermon, Hao Zhou, Wei-Ying Ma:
Equivariant Flow Matching with Hybrid Probability Transport. CoRR abs/2312.07168 (2023) - 2022
- [c113]Yuancheng Sun, Yimeng Chen, Weizhi Ma, Wenhao Huang, Kang Liu, Zhiming Ma, Wei-Ying Ma, Yanyan Lan:
PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction. CIKM 2022: 3505-3513 - [c112]Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Region-based Cross-modal Retrieval. IJCNN 2022: 1-8 - [c111]Yue Fang, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Bo Long, Yanyan Lan, Yanquan Zhou:
From spoken dialogue to formal summary: An utterance rewriting for dialogue summarization. NAACL-HLT 2022: 3859-3869 - [c110]Yimeng Chen, Ruibin Xiong, Zhi-Ming Ma, Yanyan Lan:
When Does Group Invariant Learning Survive Spurious Correlations? NeurIPS 2022 - [c109]Yunchang Zhu
, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback. SIGIR 2022: 825-836 - [i56]Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback. CoRR abs/2204.11545 (2022) - [i55]Yimeng Chen, Ruibin Xiong, Zhiming Ma, Yanyan Lan:
When Does Group Invariant Learning Survive Spurious Correlations? CoRR abs/2206.14534 (2022) - [i54]Yuancheng Sun, Yimeng Chen, Weizhi Ma, Wenhao Huang, Kang Liu, Zhiming Ma, Wei-Ying Ma, Yanyan Lan:
PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction. CoRR abs/2211.01978 (2022) - 2021
- [j13]Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu
, Yuqi Huo, Jiezhong Qiu, Yuan Yao, Ao Zhang, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu:
Pre-trained models: Past, present and future. AI Open 2: 225-250 (2021) - [j12]Zhumin Chen, Xueqi Cheng, Shoubin Dong, Zhicheng Dou
, Jiafeng Guo, Xuanjing Huang, Yanyan Lan, Chenliang Li, Ru Li, Tie-Yan Liu, Yiqun Liu, Jun Ma, Bing Qin, Mingwen Wang, Ji-Rong Wen, Jun Xu
, Min Zhang, Peng Zhang, Qi Zhang:
Information retrieval: a view from the Chinese IR community. Frontiers Comput. Sci. 15(1): 151601 (2021) - [c108]Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Learning to Truncate Ranked Lists for Information Retrieval. AAAI 2021: 4453-4461 - [c107]Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng:
Sketch and Customize: A Counterfactual Story Generator. AAAI 2021: 12955-12962 - [c106]Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Yanyan Lan:
Probing Product Description Generation via Posterior Distillation. AAAI 2021: 14301-14309 - [c105]Liang Pang
, Yanyan Lan, Xueqi Cheng:
Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching. CIKM 2021: 1396-1405 - [c104]Xin Hong
, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Transformation Driven Visual Reasoning. CVPR 2021: 6903-6912 - [c103]Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen, Xueqi Cheng:
Transductive Learning for Unsupervised Text Style Transfer. EMNLP (1) 2021: 2510-2521 - [c102]Haoran Xu, Hainan Zhang, Yanyan Zou, Hongshen Chen, Zhuoye Ding, Yanyan Lan:
Adaptive Bridge between Training and Inference for Dialogue Generation. EMNLP (1) 2021: 2541-2550 - [c101]Yunchang Zhu
, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Adaptive Information Seeking for Open-Domain Question Answering. EMNLP (1) 2021: 3615-3626 - [c100]Xu Wang, Hainan Zhang, Shuai Zhao, Yanyan Zou, Hongshen Chen, Zhuoye Ding, Bo Cheng, Yanyan Lan:
FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning. EMNLP (Findings) 2021: 4284-4293 - [c99]Yinqiong Cai, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Yanyan Lan, Xueqi Cheng:
A Discriminative Semantic Ranker for Question Retrieval. ICTIR 2021: 251-260 - [c98]Haolan Zhan, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Yongjun Bao, Yanyan Lan:
Augmenting Knowledge-grounded Conversations with Sequential Knowledge Transition. NAACL-HLT 2021: 5621-5630 - [c97]Ruibin Xiong, Yimeng Chen, Liang Pang, Xueqi Cheng, Zhi-Ming Ma, Yanyan Lan:
Uncertainty Calibration for Ensemble-Based Debiasing Methods. NeurIPS 2021: 13657-13669 - [c96]Lixin Su, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Jiangui Chen, Yanyan Lan, Xueqi Cheng:
Beyond Relevance: Trustworthy Answer Selection via Consensus Verification. WSDM 2021: 562-570 - [c95]Yixing Fan, Jiafeng Guo, Xinyu Ma
, Ruqing Zhang, Yanyan Lan, Xueqi Cheng:
A Linguistic Study on Relevance Modeling in Information Retrieval. WWW 2021: 1053-1064 - [i53]Liang Pang, Yanyan Lan, Xueqi Cheng:
Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching. CoRR abs/2101.06423 (2021) - [i52]Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Yanyan Lan, Zhuoye Ding, Dawei Yin:
User-Inspired Posterior Network for Recommendation Reason Generation. CoRR abs/2102.07919 (2021) - [i51]Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Learning to Truncate Ranked Lists for Information Retrieval. CoRR abs/2102.12793 (2021) - [i50]Yixing Fan, Jiafeng Guo, Xinyu Ma, Ruqing Zhang, Yanyan Lan, Xueqi Cheng:
A Linguistic Study on Relevance Modeling in Information Retrieval. CoRR abs/2103.00956 (2021) - [i49]Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Yanyan Lan:
Probing Product Description Generation via Posterior Distillation. CoRR abs/2103.01594 (2021) - [i48]Yuqi Huo, Manli Zhang, Guangzhen Liu, Haoyu Lu, Yizhao Gao, Guoxing Yang, Jingyuan Wen, Heng Zhang, Baogui Xu, Weihao Zheng, Zongzheng Xi, Yueqian Yang, Anwen Hu, Jinming Zhao, Ruichen Li, Yida Zhao, Liang Zhang, Yuqing Song, Xin Hong, Wanqing Cui, Dan Yang Hou, Yingyan Li, Junyi Li, Peiyu Liu, Zheng Gong, Chuhao Jin, Yuchong Sun, Shizhe Chen, Zhiwu Lu, Zhicheng Dou, Qin Jin, Yanyan Lan, Wayne Xin Zhao, Ruihua Song, Ji-Rong Wen:
WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training. CoRR abs/2103.06561 (2021) - [i47]Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng:
Sketch and Customize: A Counterfactual Story Generator. CoRR abs/2104.00929 (2021) - [i46]Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu:
Pre-Trained Models: Past, Present and Future. CoRR abs/2106.07139 (2021) - [i45]Yinqiong Cai, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Yanyan Lan, Xueqi Cheng:
A Discriminative Semantic Ranker for Question Retrieval. CoRR abs/2107.08345 (2021) - [i44]Lijuan Chen, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Toward the Understanding of Deep Text Matching Models for Information Retrieval. CoRR abs/2108.07081 (2021) - [i43]Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Adaptive Information Seeking for Open-Domain Question Answering. CoRR abs/2109.06747 (2021) - [i42]Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen, Xueqi Cheng:
Transductive Learning for Unsupervised Text Style Transfer. CoRR abs/2109.07812 (2021) - [i41]Xu Wang, Hainan Zhang, Shuai Zhao, Yanyan Zou, Hongshen Chen, Zhuoye Ding, Bo Cheng, Yanyan Lan:
FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning. CoRR abs/2109.10510 (2021) - [i40]Shentong Mo, Xi Fu, Chenyang Hong, Yizhen Chen, Yuxuan Zheng, Xiangru Tang, Zhiqiang Shen, Eric P. Xing, Yanyan Lan:
Multi-modal Self-supervised Pre-training for Regulatory Genome Across Cell Types. CoRR abs/2110.05231 (2021) - [i39]Haoran Xu, Hainan Zhang, Yanyan Zou, Hongshen Chen, Zhuoye Ding, Yanyan Lan:
Adaptive Bridge between Training and Inference for Dialogue. CoRR abs/2110.11560 (2021) - [i38]Ruibin Xiong, Yimeng Chen, Liang Pang, Xueqi Cheng, Yanyan Lan:
Uncertainty Calibration for Ensemble-Based Debiasing Methods. CoRR abs/2111.04104 (2021) - 2020
- [j11]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Dual-factor Generation Model for Conversation. ACM Trans. Inf. Syst. 38(3): 31:1-31:31 (2020) - [c94]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Structure Learning for Headline Generation. AAAI 2020: 9555-9562 - [c93]Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng:
Ranking Enhanced Dialogue Generation. CIKM 2020: 465-474 - [c92]Lixin Su, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Continual Domain Adaptation for Machine Reading Comprehension. CIKM 2020: 1395-1404 - [c91]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Query Understanding via Intent Description Generation. CIKM 2020: 1823-1832 - [c90]Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Beyond Language: Learning Commonsense from Images for Reasoning. EMNLP (Findings) 2020: 4379-4389 - [c89]Jianing Li, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation. ICML 2020: 5905-5915 - [c88]Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu:
On Layer Normalization in the Transformer Architecture. ICML 2020: 10524-10533 - [c87]Yimeng Chen, Yanyan Lan, Ruibin Xiong, Liang Pang, Zhiming Ma, Xueqi Cheng:
Evaluating Natural Language Generation via Unbalanced Optimal Transport. IJCAI 2020: 3730-3736 - [c86]Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin:
Modeling Topical Relevance for Multi-Turn Dialogue Generation. IJCAI 2020: 3737-3743 - [c85]Liang Pang, Jun Xu
, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen:
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. SIGIR 2020: 499-508 - [c84]Jun Xu
, Zeng Wei, Long Xia, Yanyan Lan, Dawei Yin, Xueqi Cheng, Ji-Rong Wen:
Reinforcement Learning to Rank with Pairwise Policy Gradient. SIGIR 2020: 509-518 - [c83]Zizhen Wang, Yixing Fan, Jiafeng Guo, Liu Yang, Ruqing Zhang, Yanyan Lan, Xueqi Cheng, Hui Jiang, Xiaozhao Wang:
Match²: A Matching over Matching Model for Similar Question Identification. SIGIR 2020: 559-568 - [c82]Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Yanyan Lan, Zhuoye Ding, Dawei Yin:
User-Inspired Posterior Network for Recommendation Reason Generation. SIGIR 2020: 1937-1940 - [c81]Yunchang Zhu, Liang Pang, Yanyan Lan, Xueqi Cheng:
L2R²: Leveraging Ranking for Abductive Reasoning. SIGIR 2020: 1961-1964 - [c80]Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension. WSDM 2020: 564-572 - [i37]Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng
, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu:
On Layer Normalization in the Transformer Architecture. CoRR abs/2002.04745 (2020) - [i36]Yunchang Zhu, Liang Pang, Yanyan Lan, Xueqi Cheng:
L2R2: Leveraging Ranking for Abductive Reasoning. CoRR abs/2005.11223 (2020) - [i35]Linfang Hou, Liang Pang, Xin Hong, Yanyan Lan, Zhiming Ma, Dawei Yin:
Robust Reinforcement Learning with Wasserstein Constraint. CoRR abs/2006.00945 (2020) - [i34]Zizhen Wang, Yixing Fan, Jiafeng Guo, Liu Yang, Ruqing Zhang, Yanyan Lan, Xueqi Cheng, Hui Jiang, Xiaozhao Wang:
Match2: A Matching over Matching Model for Similar Question Identification. CoRR abs/2006.11719 (2020) - [i33]Jianing Li, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation. CoRR abs/2007.01488 (2020) - [i32]Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng:
Ranking Enhanced Dialogue Generation. CoRR abs/2008.05640 (2020) - [i31]Lixin Su, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Continual Domain Adaptation for Machine Reading Comprehension. CoRR abs/2008.10874 (2020) - [i30]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Query Understanding via Intent Description Generation. CoRR abs/2008.10889 (2020) - [i29]Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin:
Modeling Topical Relevance for Multi-Turn Dialogue Generation. CoRR abs/2009.12735 (2020) - [i28]Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Beyond Language: Learning Commonsense from Images for Reasoning. CoRR abs/2010.05001 (2020) - [i27]Xin Hong
, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Transformation Driven Visual Reasoning. CoRR abs/2011.13160 (2020) - [i26]Yan Gao, Jiafeng Guo, Yanyan Lan, Huaming Liao:
Dynamic-K Recommendation with Personalized Decision Boundary. CoRR abs/2012.13569 (2020)
2010 – 2019
- 2019
- [j10]Guoxin Cui
, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Trend-Smooth: Accelerate Asynchronous SGD by Smoothing Parameters Using Parameter Trends. IEEE Access 7: 156848-156859 (2019) - [j9]Jun Xu
, Wei Zeng, Yanyan Lan, Jiafeng Guo
, Xueqi Cheng:
Modeling the Parameter Interactions in Ranking SVM with Low-Rank Approximation. IEEE Trans. Knowl. Data Eng. 31(6): 1181-1193 (2019) - [c79]Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Differentiated Distribution Recovery for Neural Text Generation. AAAI 2019: 6682-6689 - [c78]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng:
HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering. AAAI 2019: 6875-6882 - [c77]Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Teaching Machines to Extract Main Content for Machine Reading Comprehension. AAAI 2019: 9973-9974 - [c76]Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, Xueqi Cheng:
An Adaptive Framework for Conversational Question Answering. AAAI 2019: 10041-10042 - [c75]Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation. ACL (1) 2019: 3721-3730 - [c74]Yixing Fan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Understanding and Improving Neural Ranking Models from a Term Dependence View. AIRS 2019: 118-130 - [c73]Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Controlling Risk of Web Question Answering. SIGIR 2019: 115-124 - [c72]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Outline Generation: Understanding the Inherent Content Structure of Documents. SIGIR 2019: 745-754 - [i25]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng:
HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering. CoRR abs/1901.03866 (2019) - [i24]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Outline Generation: Understanding the Inherent Content Structure of Documents. CoRR abs/1905.10039 (2019) - [i23]Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Controlling Risk of Web Question Answering. CoRR abs/1905.10077 (2019) - [i22]Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation. CoRR abs/1907.05339 (2019) - [i21]Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile. CoRR abs/1907.05340 (2019) - [i20]Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen:
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. CoRR abs/1912.05891 (2019) - 2018
- [j8]Zhe Wang
, Chenggang Wu
, Xiang Yuan, Zhenjiang Wang, Jianjun Li, Pen-Chung Yew
, Jeff Huang, Xiaobing Feng, Yanyan Lan, Yunji Chen
, Yuanming Lai
, Yong Guan:
Using Local Clocks to Reproduce Concurrency Bugs. IEEE Trans. Software Eng. 44(11): 1112-1128 (2018) - [c71]Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph. AAAI 2018: 8175-8176 - [c70]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu
, Xueqi Cheng:
Learning to Control the Specificity in Neural Response Generation. ACL (1) 2018: 1108-1117 - [c69]Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu
, Xueqi Cheng:
Tailored Sequence to Sequence Models to Different Conversation Scenarios. ACL (1) 2018: 1479-1488 - [c68]Lijuan Chen, Yanyan Lan, Liang Pang, Jiafeng Guo, Jun Xu
, Xueqi Cheng:
RI-Match: Integrating Both Representations and Interactions for Deep Semantic Matching. AIRS 2018: 90-102 - [c67]Zhou Yang, Qingfeng Lan, Jiafeng Guo, Yixing Fan, Xiaofei Zhu, Yanyan Lan, Yue Wang, Xueqi Cheng:
A Deep Top-K Relevance Matching Model for Ad-hoc Retrieval. CCIR 2018: 16-27 - [c66]Tonglei Guo, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu
, Xueqi Cheng:
A Comparison Between Term-Based and Embedding-Based Methods for Initial Retrieval. CCIR 2018: 28-40 - [c65]Yixuan He, Shuchang Tao, Jun Xu
, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Text Matching with Monte Carlo Tree Search. CCIR 2018: 41-52 - [c64]Zhaohui Li, Jun Xu
, Yanyan Lan, Jiafeng Guo, Yue Feng, Xueqi Cheng:
Hierarchical Answer Selection Framework for Multi-passage Machine Reading Comprehension. CCIR 2018: 93-104 - [c63]Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu
, Xueqi Cheng:
Generative Paragraph Vector. CCIR 2018: 105-118 - [c62]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu
, Huanhuan Cao, Xueqi Cheng:
Question Headline Generation for News Articles. CIKM 2018: 617-626 - [c61]Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu
, Xueqi Cheng:
Neighborhood Voting: A Novel Search Scheme for Hashing. CIKM 2018: 1731-1734 - [c60]Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu
, Xueqi Cheng:
Spherical Paragraph Model. ECIR 2018: 289-302 - [c59]Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu
, Xueqi Cheng:
Aggregating Neural Word Embeddings for Document Representation. ECIR 2018: 303-315 - [c58]Guoxin Cui, Jun Xu
, Wei Zeng, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server. ICTIR 2018: 83-90 - [c57]Wei Zeng, Jun Xu
, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Multi Page Search with Reinforcement Learning to Rank. ICTIR 2018: 175-178 - [c56]Zhihao Fan, Zhongyu Wei, Piji Li, Yanyan Lan, Xuanjing Huang:
A Question Type Driven Framework to Diversify Visual Question Generation. IJCAI 2018: 4048-4054 - [c55]Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu
, Xueqi Cheng:
Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation. IJCAI 2018: 4567-4573 - [c54]Yue Feng, Jun Xu
, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng:
From Greedy Selection to Exploratory Decision-Making: Diverse Ranking with Policy-Value Networks. SIGIR 2018: 125-134 - [c53]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu
, Chengxiang Zhai, Xueqi Cheng:
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. SIGIR 2018: 375-384 - [c52]Sihao Yu, Jun Xu
, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Reducing Variance in Gradient Bandit Algorithm using Antithetic Variates Method. SIGIR 2018: 885-888 - [i19]Guoxin Cui, Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server. CoRR abs/1804.08066 (2018) - [i18]Yadi Lao, Jun Xu, Yanyan Lan, Jiafeng Guo, Sheng Gao, Xueqi Cheng:
Sequence Tagging with Policy-Value Networks and Tree Search. CoRR abs/1804.10911 (2018) - [i17]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, Xueqi Cheng:
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. CoRR abs/1805.05737 (2018) - [i16]Yan Xiao, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Xueqi Cheng:
Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations. CoRR abs/1806.10869 (2018) - 2017
- [j7]Jiafeng Guo
, Xiaofei Zhu, Yanyan Lan, Xueqi Cheng:
Modeling users' search sessions for high utility query recommendation. Inf. Retr. J. 20(1): 4-24 (2017) - [j6]Jianguo Wang, Joshua Zhexue Huang, Jiafeng Guo, Yanyan Lan:
Query ranking model for search engine query recommendation. Int. J. Mach. Learn. Cybern. 8(3): 1019-1038 (2017) - [j5]Jun Xu
, Long Xia, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Directly Optimize Diversity Evaluation Measures: A New Approach to Search Result Diversification. ACM Trans. Intell. Syst. Technol. 8(3): 41:1-41:26 (2017) - [c51]Jia Zhang, Zheng Wang, Qian Li, Jialin Zhang, Yanyan Lan, Qiang Li, Xiaoming Sun:
Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed Advertising. AAAI 2017: 252-258 - [c50]Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng:
Locally Smoothed Neural Networks. ACML 2017: 177-191 - [c49]Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu
, Xueqi Cheng:
Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile. CCIR 2017: 3-16 - [c48]Yan Gao, Jiafeng Guo, Yanyan Lan, Huaming Liao:
Dynamic-K Recommendation with Personalized Decision Boundary. CCIR 2017: 17-29 - [c47]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu
, Xueqi Cheng:
Academic Access Data Analysis for Literature Recommendation. CCIR 2017: 42-54 - [c46]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu
, Liang Pang, Xueqi Cheng:
Learning Visual Features from Snapshots for Web Search. CIKM 2017: 247-256 - [c45]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu
, Jingfang Xu, Xueqi Cheng:
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval. CIKM 2017: 257-266 - [c44]Hainan Zhang, Tonglei Guo, Yanyan Lan, Jiafeng Guo, Jianing Li, Xueqi Cheng:
Gbot at the NTCIR-13 STC-2 Task. NTCIR 2017 - [c43]Long Xia, Jun Xu
, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng:
Adapting Markov Decision Process for Search Result Diversification. SIGIR 2017: 535-544 - [c42]Zheng Wei, Jun Xu
, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Reinforcement Learning to Rank with Markov Decision Process. SIGIR 2017: 945-948 - [i15]Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Spherical Paragraph Model. CoRR abs/1707.05635 (2017) - [i14]Yixing Fan, Liang Pang, Jianpeng Hou, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
MatchZoo: A Toolkit for Deep Text Matching. CoRR abs/1707.07270 (2017) - [i13]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
A Deep Investigation of Deep IR Models. CoRR abs/1707.07700 (2017) - [i12]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Jingfang Xu, Xueqi Cheng:
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval. CoRR abs/1710.05649 (2017) - [i11]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang, Xueqi Cheng:
Learning Visual Features from Snapshots for Web Search. CoRR abs/1710.06997 (2017) - [i10]Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng:
Locally Smoothed Neural Networks. CoRR abs/1711.08132 (2017) - 2016
- [j4]Jianguo Wang, Joshua Zhexue Huang, Dingming Wu, Jiafeng Guo, Yanyan Lan:
An incremental model on search engine query recommendation. Neurocomputing 218: 423-431 (2016) - [c41]Liang Pang
, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng:
Text Matching as Image Recognition. AAAI 2016: 2793-2799 - [c40]Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations. AAAI 2016: 2821-2827 - [c39]Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng:
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations. AAAI 2016: 2835-2841 - [c38]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
SPAN: Understanding a Question with Its Support Answers. AAAI 2016: 4250-4251 - [c37]Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu
, Xueqi Cheng:
Factorizing Sequential and Historical Purchase Data for Basket Recommendation. AIRS 2016: 237-248 - [c36]Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu
, Xueqi Cheng:
Multi-task Representation Learning for Demographic Prediction. ECIR 2016: 88-99 - [c35]Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Sparse Word Embeddings Using ℓ1 Regularized Online Learning. IJCAI 2016: 2915-2921 - [c34]Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, Xueqi Cheng:
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN. IJCAI 2016: 2922-2928 - [c33]Long Xia, Jun Xu
, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Modeling Document Novelty with Neural Tensor Network for Search Result Diversification. SIGIR 2016: 395-404 - [c32]Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu
, Xueqi Cheng:
Your Cart tells You: Inferring Demographic Attributes from Purchase Data. WSDM 2016: 173-182 - [i9]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng:
Text Matching as Image Recognition. CoRR abs/1602.06359 (2016) - [i8]Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Semantic Regularities in Document Representations. CoRR abs/1603.07603 (2016) - [i7]Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, Xueqi Cheng:
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN. CoRR abs/1604.04378 (2016) - [i6]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
A Study of MatchPyramid Models on Ad-hoc Retrieval. CoRR abs/1606.04648 (2016) - [i5]Jia Zhang, Zheng Wang, Qian Li, Jialin Zhang, Yanyan Lan, Qiang Li, Xiaoming Sun:
Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed Advertising. CoRR abs/1611.07599 (2016) - 2015
- [j3]Jianguo Wang, Joshua Zhexue Huang, Jiafeng Guo, Yanyan Lan:
Recommending high-utility search engine queries via a query-recommending model. Neurocomputing 167: 195-208 (2015) - [j2]Shuzi Niu, Yanyan Lan, Jiafeng Guo, Shengxian Wan, Xueqi Cheng:
Which noise affects algorithm robustness for learning to rank. Inf. Retr. J. 18(3): 215-245 (2015) - [c31]Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
A Probabilistic Model for Bursty Topic Discovery in Microblogs. AAAI 2015: 353-359 - [c30]Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu
, Xueqi Cheng:
Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations. ACL (1) 2015: 136-145 - [c29]Yaogong Zhang, Jun Xu
, Yanyan Lan, Jiafeng Guo, Maoqiang Xie, Yalou Huang, Xueqi Cheng:
Modeling Parameter Interactions in Ranking SVM. CIKM 2015: 1799-1802 - [c28]Xiang Yuan, Chenggang Wu, Zhenjiang Wang, Jianjun Li, Pen-Chung Yew
, Jeff Huang, Xiaobing Feng, Yanyan Lan, Yunji Chen
, Yong Guan:
ReCBuLC: Reproducing Concurrency Bugs Using Local Clocks. ICSE (1) 2015: 824-834 - [c27]Shengxian Wan, Yanyan Lan, Pengfei Wang, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Next Basket Recommendation with Neural Networks. RecSys Posters 2015 - [c26]Long Xia, Jun Xu
, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures. SIGIR 2015: 113-122 - [c25]Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu
, Shengxian Wan, Xueqi Cheng:
Learning Hierarchical Representation Model for NextBasket Recommendation. SIGIR 2015: 403-412 - [c24]Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Lei Yu, Guoping Long:
Listwise Approach for Rank Aggregation in Crowdsourcing. WSDM 2015: 253-262 - [i4]Yadong Zhu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Structural Learning of Diverse Ranking. CoRR abs/1504.04596 (2015) - [i3]Yadong Zhu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Topic-focused Dynamic Information Filtering in Social Media. CoRR abs/1504.04945 (2015) - [i2]Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng:
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations. CoRR abs/1511.08277 (2015) - 2014
- [j1]Xueqi Cheng, Xiaohui Yan, Yanyan Lan, Jiafeng Guo:
BTM: Topic Modeling over Short Texts. IEEE Trans. Knowl. Data Eng. 26(12): 2928-2941 (2014) - [c23]Zhongxiang Chen, Jiafeng Guo, Yanyan Lan, Lei Cao, Xueqi Cheng:
Name Disambiguation by Collective Classification. AIRS 2014: 406-417 - [c22]Huan Xue, Jiafeng Guo, Yanyan Lan, Lei Cao:
Personalized paper recommendation in online social scholar system. ASONAM 2014: 612-619 - [c21]Pengfei Wang, Jiafeng Guo, Yanyan Lan:
Modeling Retail Transaction Data for Personalized Shopping Recommendation. CIKM 2014: 1979-1982 - [c20]Lu Bai, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Local Linear Matrix Factorization for Document Modeling. ECIR 2014: 398-411 - [c19]Yadong Zhu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Shuzi Niu:
Learning for search result diversification. SIGIR 2014: 293-302 - [c18]Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Xiubo Geng:
What makes data robust: a data analysis in learning to rank. SIGIR 2014: 1191-1194 - [c17]Yanyan Lan, Yadong Zhu, Jiafeng Guo, Shuzi Niu, Xueqi Cheng:
Position-Aware ListMLE: A Sequential Learning Process for Ranking. UAI 2014: 449-458 - 2013
- [c16]Yanyan Lan, Shuzi Niu, Jiafeng Guo, Xueqi Cheng:
Is top-k sufficient for ranking? CIKM 2013: 1261-1270 - [c15]Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Yanyan Lan, Wolfgang Nejdl
:
Recommending High Utility Query via Session-Flow Graph. ECIR 2013: 642-655 - [c14]Yadong Zhu, Yanyan Lan, Jiafeng Guo, Pan Du, Xueqi Cheng:
A Novel Relational Learning-to-Rank Approach for Topic-Focused Multi-document Summarization. ICDM 2013: 927-936 - [c13]Chaosheng Fan, Yanyan Lan, Jiafeng Guo, Zuoquan Lin, Xueqi Cheng:
Collaborative factorization for recommender systems. SIGIR 2013: 949-953 - [c12]Shengxian Wan, Yanyan Lan, Jiafeng Guo, Chaosheng Fan, Xueqi Cheng:
Informational friend recommendation in social media. SIGIR 2013: 1045-1048 - [c11]Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Stochastic Rank Aggregation. UAI 2013 - [c10]Lu Bai, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Group sparse topical coding: from code to topic. WSDM 2013: 315-324 - [c9]Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
A biterm topic model for short texts. WWW 2013: 1445-1456 - [i1]Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Stochastic Rank Aggregation. CoRR abs/1309.6852 (2013) - 2012
- [c8]Yadong Zhu, Yuanhai Xue, Jiafeng Guo, Yanyan Lan, Xueqi Cheng, Xiaoming Yu:
Exploring and Exploiting Proximity Statistic for Information Retrieval Model. AIRS 2012: 1-13 - [c7]Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Yanyan Lan:
More than relevance: high utility query recommendation by mining users' search behaviors. CIKM 2012: 1814-1818 - [c6]Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
A new probabilistic model for top-k ranking problem. CIKM 2012: 2519-2522 - [c5]Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Tie-Yan Liu:
Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space. NIPS 2012: 1241-1249 - [c4]Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Top-k learning to rank: labeling, ranking and evaluation. SIGIR 2012: 751-760
2000 – 2009
- 2009
- [c3]Yanyan Lan, Tie-Yan Liu, Zhiming Ma, Hang Li:
Generalization analysis of listwise learning-to-rank algorithms. ICML 2009: 577-584 - [c2]Wei Chen, Tie-Yan Liu, Yanyan Lan, Zhiming Ma, Hang Li:
Ranking Measures and Loss Functions in Learning to Rank. NIPS 2009: 315-323 - 2008
- [c1]Yanyan Lan, Tie-Yan Liu, Tao Qin, Zhiming Ma, Hang Li:
Query-level stability and generalization in learning to rank. ICML 2008: 512-519
Coauthor Index
aka: Zhi-Ming Ma
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