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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]