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2020 – today
- 2021
[j60]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)- [j59]Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection. Future Gener. Comput. Syst. 115: 236-250 (2021) - [j58]Shanshan Lyu, Wentao Ouyang, Yongqing Wang, Huawei Shen, Xueqi Cheng:
Truth Discovery by Claim and Source Embedding. IEEE Trans. Knowl. Data Eng. 33(3): 1264-1275 (2021) - [i78]Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng:
SDGNN: Learning Node Representation for Signed Directed Networks. CoRR abs/2101.02390 (2021) - [i77]Liang Pang, Yanyan Lan, Xueqi Cheng:
Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching. CoRR abs/2101.06423 (2021) - [i76]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) - [i75]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
- [j57]Kai Li, Tong Xu, Shuai Feng, Lisheng Qiao, Hua-Wei Shen, Tian-yang Lv, Xueqi Cheng, En-Hong Chen:
The Propagation Background in Social Networks: Simulating and Modeling. Int. J. Autom. Comput. 17(3): 353-363 (2020) - [j56]Xinlong Pan, Haipeng Wang, Xueqi Cheng, Xuan Peng, You He:
Online detection of anomaly behaviors based on multidimensional trajectories. Inf. Fusion 58: 40-51 (2020) - [j55]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) - [j54]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) - [c326]Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng:
FlowScope: Spotting Money Laundering Based on Graphs. AAAI 2020: 4731-4738 - [c325]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Structure Learning for Headline Generation. AAAI 2020: 9555-9562 - [c324]Long Bai, Xiaolong Jin, Chuanzhi Zhuang, Xueqi Cheng:
Entity Type Enhanced Neural Model for Distantly Supervised Relation Extraction (Student Abstract). AAAI 2020: 13751-13752 - [c323]Jialin Su, Yuanzhuo Wang, Xiaolong Jin, Yantao Jia, Xueqi Cheng:
Link Prediction between Group Entities in Knowledge Graphs (Student Abstract). AAAI 2020: 13925-13926 - [c322]Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng:
NeuInfer: Knowledge Inference on N-ary Facts. ACL 2020: 6141-6151 - [c321]Bing Li, Zhibin Zhang, Tianqi Zheng, Qiaoling Zhong, Qun Huang, Xueqi Cheng:
Marabunta: Continuous Distributed Processing of Skewed Streams. CCGRID 2020: 252-261 - [c320]Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng:
Ranking Enhanced Dialogue Generation. CIKM 2020: 465-474 - [c319]Yunqi Qiu, Kun Zhang, Yuanzhuo Wang, Xiaolong Jin, Long Bai, Saiping Guan, Xueqi Cheng:
Hierarchical Query Graph Generation for Complex Question Answering over Knowledge Graph. CIKM 2020: 1285-1294 - [c318]Lixin Su, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Continual Domain Adaptation for Machine Reading Comprehension. CIKM 2020: 1395-1404 - [c317]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Query Understanding via Intent Description Generation. CIKM 2020: 1823-1832 - [c316]Yutao Zeng, Xiaolong Jin, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
Event Coreference Resolution with their Paraphrases and Argument-aware Embeddings. COLING 2020: 3084-3094 - [c315]Liang Hou, Huawei Shen, Xueqi Cheng:
Dual Rejection Sampling for Wasserstein Auto-Encoders. ECAI 2020: 1190-1197 - [c314]Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Beyond Language: Learning Commonsense from Images for Reasoning. EMNLP (Findings) 2020: 4379-4389 - [c313]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 - [c312]Yimeng Chen, Yanyan Lan, Ruibin Xiong, Liang Pang, Zhiming Ma, Xueqi Cheng:
Evaluating Natural Language Generation via Unbalanced Optimal Transport. IJCAI 2020: 3730-3736 - [c311]Hao Wang, Huawei Shen, Xueqi Cheng:
Modeling Users' Multifaceted Interest Correlation for Social Recommendation. PAKDD (1) 2020: 118-129 - [c310]Hao Wang, Huawei Shen, Xueqi Cheng:
Modeling POI-Specific Spatial-Temporal Context for Point-of-Interest Recommendation. PAKDD (1) 2020: 130-141 - [c309]Wenjie Feng, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng:
SpecGreedy: Unified Dense Subgraph Detection. ECML/PKDD (1) 2020: 181-197 - [c308]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 - [c307]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 - [c306]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 - [c305]Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. SIGIR 2020: 1897-1900 - [c304]Yunchang Zhu, Liang Pang, Yanyan Lan, Xueqi Cheng:
L2R²: Leveraging Ranking for Abductive Reasoning. SIGIR 2020: 1961-1964 - [c303]Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng:
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks. WSDM 2020: 70-78 - [c302]Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension. WSDM 2020: 564-572 - [e6]Jimmy Huang, Yi Chang, Xueqi Cheng, Jaap Kamps, Vanessa Murdock, Ji-Rong Wen, Yiqun Liu:
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020. ACM 2020, ISBN 978-1-4503-8016-4 [contents] - [i74]Yunchang Zhu, Liang Pang, Yanyan Lan, Xueqi Cheng:
L2R2: Leveraging Ranking for Abductive Reasoning. CoRR abs/2005.11223 (2020) - [i73]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) - [i72]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) - [i71]Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng:
Adversarial Immunization for Improving Certifiable Robustness on Graphs. CoRR abs/2007.09647 (2020) - [i70]Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. CoRR abs/2007.13435 (2020) - [i69]Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng:
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. CoRR abs/2007.16002 (2020) - [i68]Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng:
Ranking Enhanced Dialogue Generation. CoRR abs/2008.05640 (2020) - [i67]Lixin Su, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Continual Domain Adaptation for Machine Reading Comprehension. CoRR abs/2008.10874 (2020) - [i66]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Query Understanding via Intent Description Generation. CoRR abs/2008.10889 (2020) - [i65]Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Beyond Language: Learning Commonsense from Images for Reasoning. CoRR abs/2010.05001 (2020) - [i64]Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng:
Summarizing graphs using the configuration model. CoRR abs/2010.09175 (2020) - [i63]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) - [i62]Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Transformation Driven Visual Reasoning. CoRR abs/2011.13160 (2020) - [i61]Junjie Huang, Huawei Shen, Qi Cao, Li Cai, Xueqi Cheng:
How Medical Crowdfunding Helps People? A Large-scale Case Study on Waterdrop Fundraising. CoRR abs/2011.13608 (2020) - [i60]Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng:
AugSplicing: Synchronized Behavior Detection in Streaming Tensors. CoRR abs/2012.02006 (2020) - [i59]Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang:
Slimmable Generative Adversarial Networks. CoRR abs/2012.05660 (2020)
2010 – 2019
- 2019
- [j53]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) - [j52]Shanshan Lyu, Wentao Ouyang, Huawei Shen, Xueqi Cheng:
Learning representations for quality estimation of crowdsourced submissions. Inf. Process. Manag. 56(4): 1484-1493 (2019) - [j51]Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Yantao Jia, Huawei Shen, Zixuan Li, Xueqi Cheng:
Self-learning and embedding based entity alignment. Knowl. Inf. Syst. 59(2): 361-386 (2019) - [j50]Shenghua Liu, Huawei Shen, Houdong Zheng, Xueqi Cheng, Xiangwen Liao:
CT LIS: Learning Influences and Susceptibilities through Temporal Behaviors. ACM Trans. Knowl. Discov. Data 13(6): 57:1-57:21 (2019) - [j49]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) - [c301]Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Differentiated Distribution Recovery for Neural Text Generation. AAAI 2019: 6682-6689 - [c300]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 - [c299]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 - [c298]Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, Xueqi Cheng:
An Adaptive Framework for Conversational Question Answering. AAAI 2019: 10041-10042 - [c297]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 - [c296]Fei Gao, Jinhua Zhu, Lijun Wu, Yingce Xia, Tao Qin, Xueqi Cheng, Wengang Zhou, Tie-Yan Liu:
Soft Contextual Data Augmentation for Neural Machine Translation. ACL (1) 2019: 5539-5544 - [c295]Yixing Fan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Understanding and Improving Neural Ranking Models from a Term Dependence View. AIRS 2019: 118-130 - [c294]Jiangli Shao, Huawei Shen, Qi Cao, Xueqi Cheng:
Temporal Convolutional Networks for Popularity Prediction of Messages on Social Medias. CCIR 2019: 135-147 - [c293]Tianqi Zheng, Zhibin Zhang, Xueqi Cheng:
SilverChunk: An Efficient In-Memory Parallel Graph Processing System. DEXA (2) 2019: 222-236 - [c292]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 - [c291]Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng:
Signed Graph Attention Networks. ICANN (Workshop) 2019: 566-577 - [c290]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 - [c289]Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng:
Graph Wavelet Neural Network. ICLR (Poster) 2019 - [c288]Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng:
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. IJCAI 2019: 1928-1934 - [c287]Bin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, Jing Ye:
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series. IJCAI 2019: 4433-4439 - [c286]Jiabao Zhang, Shenghua Liu, Wenjian Yu, Wenjie Feng, Xueqi Cheng:
EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation. PAKDD (2) 2019: 501-513 - [c285]Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection. PAKDD (1) 2019: 541-554 - [c284]Wenjie Feng, Shenghua Liu, Xueqi Cheng:
CatchCore: Catching Hierarchical Dense Subtensor. ECML/PKDD (1) 2019: 156-172 - [c283]Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Controlling Risk of Web Question Answering. SIGIR 2019: 115-124 - [c282]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Outline Generation: Understanding the Inherent Content Structure of Documents. SIGIR 2019: 745-754 - [c281]Jiafeng Guo, Yixing Fan, Xiang Ji, Xueqi Cheng:
MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching. SIGIR 2019: 1297-1300 - [c280]Yue Zhao, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng:
Semi-supervised Auto-encoder Based Event Detection in Constructing Knowledge Graph for Social Good. WI 2019: 478-485 - [c279]Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng:
Link Prediction on N-ary Relational Data. WWW 2019: 583-593 - [c278]Shanshan Lyu, Wentao Ouyang, Yongqing Wang, Huawei Shen, Xueqi Cheng:
What We Vote for? Answer Selection from User Expertise View in Community Question Answering. WWW 2019: 1198-1209 - [c277]Yongqing Wang, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Learning Binary Hash Codes for Fast Anchor Link Retrieval across Networks. WWW 2019: 3335-3341 - [e5]Wenwu Zhu, Dacheng Tao, Xueqi Cheng, Peng Cui, Elke A. Rundensteiner, David Carmel, Qi He, Jeffrey Xu Yu:
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019. ACM 2019, ISBN 978-1-4503-6976-3 [contents] - [e4]Panagiotis Papapetrou, Xueqi Cheng, Qing He:
2019 International Conference on Data Mining Workshops, ICDM Workshops 2019, Beijing, China, November 8-11, 2019. IEEE 2019, ISBN 978-1-7281-4896-0 [contents] - [i58]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) - [i57]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) - [i56]Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng:
Graph Wavelet Neural Network. CoRR abs/1904.07785 (2019) - [i55]Cheng Zhao, Zhibin Zhang, Peng Xu, Tianqi Zheng, Xueqi Cheng:
Kaleido: An Efficient Out-of-core Graph Mining System on A Single Machine. CoRR abs/1905.09572 (2019) - [i54]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Outline Generation: Understanding the Inherent Content Structure of Documents. CoRR abs/1905.10039 (2019) - [i53]Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Controlling Risk of Web Question Answering. CoRR abs/1905.10077 (2019) - [i52]Jiafeng Guo, Yixing Fan, Xiang Ji, Xueqi Cheng:
MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching. CoRR abs/1905.10289 (2019) - [i51]Jinhua Zhu, Fei Gao, Lijun Wu, Yingce Xia, Tao Qin, Wengang Zhou, Xueqi Cheng, Tie-Yan Liu:
Soft Contextual Data Augmentation for Neural Machine Translation. CoRR abs/1905.10523 (2019) - [i50]Keting Cen, Huawei Shen, Jinhua Gao, Qi Cao, Bingbing Xu, Xueqi Cheng:
A Graph Auto-Encoder for Attributed Network Embedding. CoRR abs/1906.08745 (2019) - [i49]Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng:
Coupled Graph Neural Networks for Predicting the Popularity of Online Content. CoRR abs/1906.09032 (2019) - [i48]Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng:
Signed Graph Attention Networks. CoRR abs/1906.10958 (2019) - [i47]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) - [i46]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) - [i45]Mahammad Humayoo, Xueqi Cheng:
Parameter Estimation with the Ordered 𝓁2 Regularization via an Alternating Direction Method of Multipliers. CoRR abs/1909.01519 (2019) - [i44]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
- [j48]Jingjing Wei, Xiangwen Liao, Houdong Zheng, Guolong Chen, Xueqi Cheng:
Learning from context: A mutual reinforcement model for Chinese microblog opinion retrieval. Frontiers Comput. Sci. 12(4): 714-724 (2018) - [j47]Jizhao Zhu, Yantao Jia, Jun Xu, Jianzhong Qiao, Xueqi Cheng:
Modeling the Correlations of Relations for Knowledge Graph Embedding. J. Comput. Sci. Technol. 33(2): 323-334 (2018) - [j46]Chengcheng Gou, Huawei Shen, Pan Du, Dayong Wu, Yue Liu, Xueqi Cheng:
Learning sequential features for cascade outbreak prediction. Knowl. Inf. Syst. 57(3): 721-739 (2018) - [j45]Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng:
Path-specific knowledge graph embedding. Knowl. Based Syst. 151: 37-44 (2018) - [j44]Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Hailun Lin, Xueqi Cheng:
Knowledge Graph Embedding: A Locally and Temporally Adaptive Translation-Based Approach. ACM Trans. Web 12(2): 8:1-8:33 (2018) - [c276]Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng:
Towards Efficient Detection of Overlapping Communities in Massive Networks. AAAI 2018: 418-425 - [c275]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 - [c274]Yue Zhao, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng:
Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention. ACL (2) 2018: 414-419 - [c273]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 - [c272]Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Tailored Sequence to Sequence Models to Different Conversation Scenarios. ACL (1) 2018: 1479-1488 - [c271]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 - [c270]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 - [c269]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 - [c268]Yixuan He, Shuchang Tao, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Text Matching with Monte Carlo Tree Search. CCIR 2018: 41-52 - [c267]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 - [c266]Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Generative Paragraph Vector. CCIR 2018: 105-118 - [c265]Shanshan Lyu, Wentao Ouyang, Huawei Shen, Xueqi Cheng:
Finding High-Quality Unstructured Submissions in General Crowdsourcing Tasks. CCIR 2018: 198-210 - [c264]Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng:
Shared Embedding Based Neural Networks for Knowledge Graph Completion. CIKM 2018: 247-256 - [c263]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Huanhuan Cao, Xueqi Cheng:
Question Headline Generation for News Articles. CIKM 2018: 617-626 - [c262]Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Neighborhood Voting: A Novel Search Scheme for Hashing. CIKM 2018: 1731-1734 - [c261]Hao Wang, Wentao Ouyang, Huawei Shen, Xueqi Cheng:
ULE: Learning User and Location Embeddings for POI Recommendation. DSC 2018: 99-106 - [c260]Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Spherical Paragraph Model. ECIR 2018: 289-302 - [c259]Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Aggregating Neural Word Embeddings for Document Representation. ECIR 2018: 303-315 - [c258]