Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDJiafeng Guo
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[j18]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)- [i46]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) - [i45]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) - 2020
- [j17]Xiaofei Zhu
, Jiafeng Guo, Wolfgang Nejdl, Xiangwen Liao, Stefan Dietze:
Multi-view image clustering based on sparse coding and manifold consensus. Neurocomputing 403: 53-62 (2020) - [j16]Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng:
A Deep Look into neural ranking models for information retrieval. Inf. Process. Manag. 57(6): 102067 (2020) - [j15]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) - [c128]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Structure Learning for Headline Generation. AAAI 2020: 9555-9562 - [c127]Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng:
NeuInfer: Knowledge Inference on N-ary Facts. ACL 2020: 6141-6151 - [c126]Xingchen Deng, Lei Zhang, Yixing Fan, Long Bai, Jiafeng Guo, Pengfei Wang:
Bidirectional Dependency-Guided Attention for Relation Extraction. ACML 2020: 129-144 - [c125]Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng:
Ranking Enhanced Dialogue Generation. CIKM 2020: 465-474 - [c124]Lixin Su, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Continual Domain Adaptation for Machine Reading Comprehension. CIKM 2020: 1395-1404 - [c123]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Query Understanding via Intent Description Generation. CIKM 2020: 1823-1832 - [c122]Yutao Zeng, Xiaolong Jin, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
Event Coreference Resolution with their Paraphrases and Argument-aware Embeddings. COLING 2020: 3084-3094 - [c121]Jianguo Jiang, Yue Lu, Min Yu, Yantao Jia, Jiafeng Guo, Chao Liu, Weiqing Huang:
CIDetector: Semi-Supervised Method for Multi-Topic Confidential Information Detection. ECAI 2020: 1834-1841 - [c120]Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Beyond Language: Learning Commonsense from Images for Reasoning. EMNLP (Findings) 2020: 4379-4389 - [c119]Cheng Zhao, Zhibin Zhang, Peng Xu, Tianqi Zheng, Jiafeng Guo:
Kaleido: An Efficient Out-of-core Graph Mining System on A Single Machine. ICDE 2020: 673-684 - [c118]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 - [c117]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 - [c116]Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension. WSDM 2020: 564-572 - [c115]Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen:
IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems. WWW 2020: 2592-2598 - [i44]Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen:
IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems. CoRR abs/2002.00571 (2020) - [i43]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) - [i42]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) - [i41]Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng:
Ranking Enhanced Dialogue Generation. CoRR abs/2008.05640 (2020) - [i40]Lixin Su, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Continual Domain Adaptation for Machine Reading Comprehension. CoRR abs/2008.10874 (2020) - [i39]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Query Understanding via Intent Description Generation. CoRR abs/2008.10889 (2020) - [i38]Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Beyond Language: Learning Commonsense from Images for Reasoning. CoRR abs/2010.05001 (2020) - [i37]Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xiang Ji, Xueqi Cheng:
PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval. CoRR abs/2010.10137 (2020) - [i36]Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Transformation Driven Visual Reasoning. CoRR abs/2011.13160 (2020) - [i35]Yan Gao, Jiafeng Guo, Yanyan Lan, Huaming Liao:
Dynamic-K Recommendation with Personalized Decision Boundary. CoRR abs/2012.13569 (2020)
2010 – 2019
- 2019
- [j14]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) - [j13]Pengfei Wang, Yongfeng Zhang, Shuzi Niu, Jiafeng Guo:
Modeling Temporal Dynamics of Users' Purchase Behaviors for Next Basket Prediction. J. Comput. Sci. Technol. 34(6): 1230-1240 (2019) - [j12]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) - [c114]Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Differentiated Distribution Recovery for Neural Text Generation. AAAI 2019: 6682-6689 - [c113]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 - [c112]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 - [c111]Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, Xueqi Cheng:
An Adaptive Framework for Conversational Question Answering. AAAI 2019: 10041-10042 - [c110]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 - [c109]Yixing Fan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Understanding and Improving Neural Ranking Models from a Term Dependence View. AIRS 2019: 118-130 - [c108]Haoran Yan, Xiaolong Jin, Xiangbin Meng, Jiafeng Guo, Xueqi Cheng:
Event Detection with Multi-Order Graph Convolution and Aggregated Attention. EMNLP/IJCNLP (1) 2019: 5765-5769 - [c107]Peng Zhao, Fan Yang, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng:
A High Performance Text Vector Similarity Search Method Based on Overlapping Degree. ICDM Workshops 2019: 448-454 - [c106]Xiangbin Meng, Pengfei Wang, Haoran Yan, Liutong Xu, Jiafeng Guo, Yixing Fan:
Multi-graph Convolution Network with Jump Connection for Event Detection. ICTAI 2019: 744-751 - [c105]Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Controlling Risk of Web Question Answering. SIGIR 2019: 115-124 - [c104]Pengfei Wang, Yu Fan, Shuzi Niu, Ze Yang, Yongfeng Zhang, Jiafeng Guo:
Hierarchical Matching Network for Crime Classification. SIGIR 2019: 325-334 - [c103]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Outline Generation: Understanding the Inherent Content Structure of Documents. SIGIR 2019: 745-754 - [c102]Jiafeng Guo, Yixing Fan, Xiang Ji, Xueqi Cheng:
MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching. SIGIR 2019: 1297-1300 - [c101]Yixing Fan, Qingyao Ai, Zhaochun Ren, Liangjie Hong, Dawei Yin, Jiafeng Guo:
DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications. WSDM 2019: 844-845 - [e2]Yi Fang, Yi Zhang, James Allan, Krisztian Balog, Ben Carterette, Jiafeng Guo:
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019. ACM 2019, ISBN 978-1-4503-6881-0 [contents] - [i34]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) - [i33]Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng:
A Deep Look into Neural Ranking Models for Information Retrieval. CoRR abs/1903.06902 (2019) - [i32]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Outline Generation: Understanding the Inherent Content Structure of Documents. CoRR abs/1905.10039 (2019) - [i31]Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Controlling Risk of Web Question Answering. CoRR abs/1905.10077 (2019) - [i30]Jiafeng Guo, Yixing Fan, Xiang Ji, Xueqi Cheng:
MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching. CoRR abs/1905.10289 (2019) - [i29]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) - [i28]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) - 2018
- [j11]Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra:
Neural information retrieval: introduction to the special issue. Inf. Retr. J. 21(2-3): 107-110 (2018) - [c100]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 - [c99]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 - [c98]Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Tailored Sequence to Sequence Models to Different Conversation Scenarios. ACL (1) 2018: 1479-1488 - [c97]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 - [c96]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 - [c95]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 - [c94]Yixuan He, Shuchang Tao, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Text Matching with Monte Carlo Tree Search. CCIR 2018: 41-52 - [c93]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 - [c92]Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Generative Paragraph Vector. CCIR 2018: 105-118 - [c91]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Huanhuan Cao, Xueqi Cheng:
Question Headline Generation for News Articles. CIKM 2018: 617-626 - [c90]Xiaofei Zhu, Khoi Duy Vo, Jiafeng Guo, Jiangwu Long:
Multiple Manifold Regularized Sparse Coding for Multi-View Image Clustering. CIKM 2018: 1723-1726 - [c89]Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Neighborhood Voting: A Novel Search Scheme for Hashing. CIKM 2018: 1731-1734 - [c88]Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Spherical Paragraph Model. ECIR 2018: 289-302 - [c87]Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Aggregating Neural Word Embeddings for Document Representation. ECIR 2018: 303-315 - [c86]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 - [c85]Wei Zeng, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Multi Page Search with Reinforcement Learning to Rank. ICTIR 2018: 175-178 - [c84]Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation. IJCAI 2018: 4567-4573 - [c83]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 - [c82]Qingyao Ai, Keping Bi, Jiafeng Guo, W. Bruce Croft:
Learning a Deep Listwise Context Model for Ranking Refinement. SIGIR 2018: 135-144 - [c81]Liu Yang, Minghui Qiu, Chen Qu, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Jun Huang, Haiqing Chen:
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems. SIGIR 2018: 245-254 - [c80]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, Xueqi Cheng:
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. SIGIR 2018: 375-384 - [c79]Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, W. Bruce Croft:
Unbiased Learning to Rank with Unbiased Propensity Estimation. SIGIR 2018: 385-394 - [c78]Sihao Yu, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Reducing Variance in Gradient Bandit Algorithm using Antithetic Variates Method. SIGIR 2018: 885-888 - [e1]Shichao Zhang, Tie-Yan Liu, Xianxian Li, Jiafeng Guo, Chenliang Li:
Information Retrieval - 24th China Conference, CCIR 2018, Guilin, China, September 27-29, 2018, Proceedings. Lecture Notes in Computer Science 11168, Springer 2018, ISBN 978-3-030-01011-9 [contents] - [i27]Liu Yang, Qingyao Ai, Jiafeng Guo, W. Bruce Croft:
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model. CoRR abs/1801.01641 (2018) - [i26]Qingyao Ai, Keping Bi, Jiafeng Guo, W. Bruce Croft:
Learning a Deep Listwise Context Model for Ranking Refinement. CoRR abs/1804.05936 (2018) - [i25]Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, W. Bruce Croft:
Unbiased Learning to Rank with Unbiased Propensity Estimation. CoRR abs/1804.05938 (2018) - [i24]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) - [i23]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) - [i22]Liu Yang, Minghui Qiu, Chen Qu, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Jun Huang, Haiqing Chen:
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems. CoRR abs/1805.00188 (2018) - [i21]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) - [i20]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
- [j10]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) - [j9]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) - [j8]Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra:
Report on the Second SIGIR Workshop on Neural Information Retrieval (Neu-IR'17). SIGIR Forum 51(3): 152-158 (2017) - [j7]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) - [c77]Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng:
Locally Smoothed Neural Networks. ACML 2017: 177-191 - [c76]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 - [c75]Yan Gao, Jiafeng Guo, Yanyan Lan, Huaming Liao:
Dynamic-K Recommendation with Personalized Decision Boundary. CCIR 2017: 17-29 - [c74]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Academic Access Data Analysis for Literature Recommendation. CCIR 2017: 42-54 - [c73]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang, Xueqi Cheng:
Learning Visual Features from Snapshots for Web Search. CIKM 2017: 247-256 - [c72]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 - [c71]Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng:
Adapting Markov Decision Process for Search Result Diversification. SIGIR 2017: 535-544 - [c70]Zheng Wei, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Reinforcement Learning to Rank with Markov Decision Process. SIGIR 2017: 945-948 - [c69]Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra:
SIGIR 2017 Workshop on Neural Information Retrieval (Neu-IR'17). SIGIR 2017: 1431-1432 - [i19]Liu Yang, Hamed Zamani, Yongfeng Zhang, Jiafeng Guo, W. Bruce Croft:
Neural Matching Models for Question Retrieval and Next Question Prediction in Conversation. CoRR abs/1707.05409 (2017) - [i18]Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Spherical Paragraph Model. CoRR abs/1707.05635 (2017) - [i17]Yixing Fan, Liang Pang, Jianpeng Hou, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
MatchZoo: A Toolkit for Deep Text Matching. CoRR abs/1707.07270 (2017) - [i16]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
A Deep Investigation of Deep IR Models. CoRR abs/1707.07700 (2017) - [i15]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) - [i14]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) - [i13]Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng:
Locally Smoothed Neural Networks. CoRR abs/1711.08132 (2017) - [i12]Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft:
A Deep Relevance Matching Model for Ad-hoc Retrieval. CoRR abs/1711.08611 (2017) - 2016
- [j6]Jianguo Wang, Joshua Zhexue Huang, Dingming Wu, Jiafeng Guo, Yanyan Lan:
An incremental model on search engine query recommendation. Neurocomputing 218: 423-431 (2016) - [j5]Nick Craswell, W. Bruce Croft, Jiafeng Guo, Bhaskar Mitra, Maarten de Rijke:
Report on the SIGIR 2016 Workshop on Neural Information Retrieval (Neu-IR). SIGIR Forum 50(2): 96-103 (2016) - [c68]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng:
Text Matching as Image Recognition. AAAI 2016: 2793-2799 - [c67]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 - [c66]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 - [c65]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
SPAN: Understanding a Question with Its Support Answers. AAAI 2016: 4250-4251 - [c64]Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Factorizing Sequential and Historical Purchase Data for Basket Recommendation. AIRS 2016: 237-248 - [c63]Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft:
A Deep Relevance Matching Model for Ad-hoc Retrieval. CIKM 2016: 55-64 - [c62]Liu Yang, Qingyao Ai, Jiafeng Guo, W. Bruce Croft:
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model. CIKM 2016: 287-296 - [c61]Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft:
Semantic Matching by Non-Linear Word Transportation for Information Retrieval. CIKM 2016: 701-710 - [c60]Tianyou Guo, Jun Xu, Xiaohui Yan, Jianpeng Hou, Ping Li, Zhaohui Li, Jiafeng Guo, Xueqi Cheng:
Ease the Process of Machine Learning with Dataflow. CIKM 2016: 2437-2440 - [c59]Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Multi-task Representation Learning for Demographic Prediction. ECIR 2016: 88-99 - [c58]Liu Yang, Qingyao Ai, Damiano Spina, Ruey-Cheng Chen, Liang Pang, W. Bruce Croft, Jiafeng Guo, Falk Scholer:
Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval. ECIR 2016: 115-128 - [c57]