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ORCID28th CIKM 2019: Beijing, China
- 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
Keynote Address
- Jianping Shi:
Autonomous Driving Towards Mass Production. 1 - Stephen John Maybank:
The Fisher-Rao Metric in Computer Vision. 3 - Jiawei Han:
From Unstructured Text to TextCube: Automated Construction and Multidimensional Exploration. 5-6 - Jian Pei
:
Practicing the Art of Data Science. 7
Long - Algorithmic Techniques
- Shao-Heng Ko, Ying-Chun Lin, Hsu-Chao Lai, Wang-Chien Lee, De-Nian Yang:
On VR Spatial Query for Dual Entangled Worlds. 9-18 - Quang-Huy Duong, Heri Ramampiaro, Kjetil Nørvåg:
Sketching Streaming Histogram Elements using Multiple Weighted Factors. 19-28 - Nieves R. Brisaboa, Ana Cerdeira-Pena, Guillermo de Bernardo, Gonzalo Navarro:
Improved Compressed String Dictionaries. 29-38 - Lei Han, Kevin Roitero, Eddy Maddalena, Stefano Mizzaro, Gianluca Demartini:
On Transforming Relevance Scales. 39-48 - Shuai Yang, Xipeng Shen, Min Chi:
Streamline Density Peak Clustering for Practical Adoptions. 49-58
Long - Analyzing Spatio-Temporal Data
- Lingyu Zhang, Tianshu Song, Yongxin Tong, Zimu Zhou, Dan Li, Wei Ai, Lulu Zhang, Guobin Wu, Yan Liu, Jieping Ye:
Recommendation-based Team Formation for On-demand Taxi-calling Platforms. 59-68 - Tao-Yang Fu, Wang-Chien Lee:
DeepIST: Deep Image-based Spatio-Temporal Network for Travel Time Estimation. 69-78 - Han Su, Guanglin Cong, Wei Chen, Bolong Zheng, Kai Zheng:
Personalized Route Description Based On Historical Trajectories. 79-88 - Mike Izbicki, Vagelis Papalexakis, Vassilis J. Tsotras:
Geolocating Tweets in any Language at any Location. 89-98 - M. Ashraf Siddiquee, Zeinab Akhavan, Abdullah Mueen:
SeiSMo: Semi-supervised Time Series Motif Discovery for Seismic Signal Detection. 99-108
Long - Biomedical Informatics
- Qingxiong Tan, Andy Jinhua Ma, Mang Ye, Baoyao Yang, Huiqi Deng, Vincent Wai-Sun Wong, Yee-Kit Tse, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Jessica Yuet-Ling Ching, Francis Ka-Leung Chan, Pong C. Yuen:
UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk Prediction. 109-118 - Changhee Han, Kohei Murao, Tomoyuki Noguchi, Yusuke Kawata, Fumiya Uchiyama, Leonardo Rundo, Hideki Nakayama, Shin'ichi Satoh:
Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images. 119-127 - Xiaoyu Li, Buyue Qian, Jishang Wei, Xianli Zhang, Sirui Chen, Qinghua Zheng:
Domain Knowledge Guided Deep Atrial Fibrillation Classification and Its Visual Interpretation. 129-138 - Zhaopeng Qiu, Xian Wu, Wei Fan:
Question Difficulty Prediction for Multiple Choice Problems in Medical Exams. 139-148 - Sendong Zhao, Chang Su, Andrea Sboner, Fei Wang:
GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment. 149-158
Long - Computer Vision
- Xiaomin Wang, Junsan Zhang, Leiquan Wang, Philip S. Yu, Jie Zhu, Haisheng Li:
Video-level Multi-model Fusion for Action Recognition. 159-168 - Andrei Boiarov, Eduard Tyantov:
Large Scale Landmark Recognition via Deep Metric Learning. 169-178 - Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng, Liang Zhao:
Multi-stage Deep Classifier Cascades for Open World Recognition. 179-188 - Manan Shah, Krishnamurthy Viswanathan, Chun-Ta Lu, Ariel Fuxman, Zhen Li, Aleksei Timofeev, Chao Jia, Chen Sun:
Inferring Context from Pixels for Multimodal Image Classification. 189-198 - Mingkun Wang, Dianxi Shi, Naiyang Guan, Wei Yi, Tao Zhang, Zunlin Fan:
Multi-Target Multi-Camera Tracking with Human Body Part Semantic Features. 199-208
Long - Database and System
- Weilong Ren, Xiang Lian, Kambiz Ghazinour:
Efficient Join Processing Over Incomplete Data Streams. 209-218 - Falco Dürsch, Axel Stebner, Fabian Windheuser, Maxi Fischer, Tim Friedrich, Nils Strelow, Tobias Bleifuß, Hazar Harmouch, Lan Jiang, Thorsten Papenbrock, Felix Naumann:
Inclusion Dependency Discovery: An Experimental Evaluation of Thirteen Algorithms. 219-228 - Qifan Wang, Bhargav Kanagal, Vijay Garg, D. Sivakumar:
Constructing a Comprehensive Events Database from the Web. 229-238 - Xuntao Cheng, Bingsheng He, Eric Lo, Wei Wang, Shengliang Lu, Xinyu Chen:
Deploying Hash Tables on Die-Stacked High Bandwidth Memory. 239-248
Long - Domain Adaptation and Transfer Learning
- Chaozhuo Li, Senzhang Wang, Hao Wang, Yanbo Liang, Philip S. Yu, Zhoujun Li, Wei Wang:
Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage. 249-258 - Manliang Cao, Xiangdong Zhou, Yiming Xu, Yue Pang, Bo Yao:
Adversarial Domain Adaptation with Semantic Consistency for Cross-Domain Image Classification. 259-268 - Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu:
ATL: Autonomous Knowledge Transfer from Many Streaming Processes. 269-278 - Pengfei Wei, Yiping Ke:
Knowledge Transfer based on Multiple Manifolds Assumption. 279-287 - Zhuoren Jiang, Jian Wang, Lujun Zhao, Changlong Sun, Yao Lu, Xiaozhong Liu:
Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning. 289-298
Long - E-Commerce and Advertising I
- Yan Qi, Chenliang Li, Han Deng, Min Cai, Yunwei Qi, Yuming Deng:
A Deep Neural Framework for Sales Forecasting in E-Commerce. 299-308 - Yatao Yang, Jun Tan, Hongbo Deng, Zibin Zheng, Yutong Lu, Xiangke Liao:
An Active and Deep Semantic Matching Framework for Query Rewrite in E-Commercial Search Engine. 309-318 - Weijie Zhao, Jingyuan Zhang, Deping Xie, Yulei Qian, Ronglai Jia, Ping Li:
AIBox: CTR Prediction Model Training on a Single Node. 319-328 - Bo-Wen Yuan, Jui-Yang Hsia, Mengyuan Yang, Hong Zhu, Chih-Yao Chang, Zhenhua Dong, Chih-Jen Lin:
Improving Ad Click Prediction by Considering Non-displayed Events. 329-338 - Kartik Lakhotia, David Kempe:
Approximation Algorithms for Coordinating Ad Campaigns on Social Networks. 339-348
Long - E-Commerce and Advertising II
- Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao:
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction. 349-358 - Keping Bi, Qingyao Ai, Yongfeng Zhang, W. Bruce Croft:
Conversational Product Search Based on Negative Feedback. 359-368 - Jie Zou, Evangelos Kanoulas:
Learning to Ask: Question-based Sequential Bayesian Product Search. 369-378 - Qingyao Ai, Daniel N. Hill, S. V. N. Vishwanathan, W. Bruce Croft:
A Zero Attention Model for Personalized Product Search. 379-388 - Guy Elad, Ido Guy, Slava Novgorodov, Benny Kimelfeld, Kira Radinsky:
Learning to Generate Personalized Product Descriptions. 389-398
Long - Network Embedding I
- Haochen Chen, Syed Fahad Sultan, Yingtao Tian, Muhao Chen, Steven Skiena:
Fast and Accurate Network Embeddings via Very Sparse Random Projection. 399-408 - Qingqing Long, Yiming Wang, Lun Du, Guojie Song, Yilun Jin, Wei Lin:
Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach. 409-418 - Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yangyong Zhu:
Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention. 419-428 - Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Discerning Edge Influence for Network Embedding. 429-438 - Yupeng Luo, Shangsong Liang, Zaiqiao Meng:
Constrained Co-embedding Model for User Profiling in Question Answering Communities. 439-448
Long - Network Embedding II
- Jie Huang, Xin Liu, Yangqiu Song:
Hyper-Path-Based Representation Learning for Hyper-Networks. 449-458 - Chaozhuo Li, Lei Zheng, Senzhang Wang, Feiran Huang, Philip S. Yu, Zhoujun Li:
Multi-Hot Compact Network Embedding. 459-468 - Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye:
Temporal Network Embedding with Micro- and Macro-dynamics. 469-478 - Boxin Du, Hanghang Tong:
MrMine: Multi-resolution Multi-network Embedding. 479-488 - Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu:
Task-Guided Pair Embedding in Heterogeneous Network. 489-498
Long - Graph Nerual Network I
- John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao:
Graph Convolutional Networks with Motif-based Attention. 499-508 - Mengmeng Li, Tian Gan, Meng Liu, Zhiyong Cheng, Jianhua Yin, Liqiang Nie:
Long-tail Hashtag Recommendation for Micro-videos with Graph Convolutional Network. 509-518 - Wenting Zhao, Zhen Cui, Chunyan Xu, Chengzheng Li, Tong Zhang, Jian Yang:
Hashing Graph Convolution for Node Classification. 519-528 - Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing Xie:
Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation. 529-538 - Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang:
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction. 539-548
Long - Graph Nerual Network II
- Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Chuan Shi:
Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework. 549-558 - Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun, Zhong Liu:
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach. 559-568 - Ming Dong, Bolong Zheng, Nguyen Quoc Viet Hung, Han Su, GuoHui Li:
Multiple Rumor Source Detection with Graph Convolutional Networks. 569-578 - Ruihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin:
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks. 579-588 - Guillaume Salha, Stratis Limnios, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis:
Gravity-Inspired Graph Autoencoders for Directed Link Prediction. 589-598
Long - Heterogeneous Data
- Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han:
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity. 599-608 - Shifu Hou, Yujie Fan, Yiming Zhang, Yanfang Ye, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao:
αCyber: Enhancing Robustness of Android Malware Detection System against Adversarial Attacks on Heterogeneous Graph based Model. 609-618 - Seonghyeon Lee, Chanyoung Park, Hwanjo Yu:
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network. 619-628 - Hao Nie, Xianpei Han, Ben He, Le Sun, Bo Chen, Wei Zhang, Suhui Wu, Hao Kong:
Deep Sequence-to-Sequence Entity Matching for Heterogeneous Entity Resolution. 629-638 - Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng:
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding. 639-648
Long - Knowledge Graph I
- Xiancheng Xie, Yun Xiong, Philip S. Yu, Yangyong Zhu:
EHR Coding with Multi-scale Feature Attention and Structured Knowledge Graph Propagation. 649-658 - Jianfeng Qu, Wen Hua, Dantong Ouyang, Xiaofang Zhou, Ximing Li:
A Fine-grained and Noise-aware Method for Neural Relation Extraction. 659-668 - Xiongnan Jin, Byungkook Oh, Sanghak Lee, Dongho Lee, Kyong-Ho Lee, Liang Chen:
Learning Region Similarity over Spatial Knowledge Graphs with Hierarchical Types and Semantic Relations. 669-678 - Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang:
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks. 679-688 - Viet-Phi Huynh, Paolo Papotti:
A Benchmark for Fact Checking Algorithms Built on Knowledge Bases. 689-698
Long - Knowledge Graph II
- Nikita Bhutani, H. V. Jagadish:
Online Schemaless Querying of Heterogeneous Open Knowledge Bases. 699-708 - Wen Zheng, Ke Zhou:
Enhancing Conversational Dialogue Models with Grounded Knowledge. 709-718 - Yang Deng, Yaliang Li, Ying Shen, Nan Du, Wei Fan, Min Yang, Kai Lei:
MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data. 719-728 - Philipp Christmann, Rishiraj Saha Roy, Abdalghani Abujabal, Jyotsna Singh, Gerhard Weikum:
Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion. 729-738 - Nikita Bhutani, Xinyi Zheng, H. V. Jagadish:
Learning to Answer Complex Questions over Knowledge Bases with Query Composition. 739-748
Long - Machine Learning Themes I
- Shuo Zhang, Krisztian Balog:
Auto-completion for Data Cells in Relational Tables. 761-770 - Yuyan Zheng, Chuan Shi, Xiangnan Kong, Yanfang Ye:
Author Set Identification via Quasi-Clique Discovery. 771-780 - Vasileios Iosifidis, Eirini Ntoutsi:
AdaFair: Cumulative Fairness Adaptive Boosting. 781-790 - Shan Xu, Xiao Zhang, Shizhong Liao:
New Online Kernel Ridge Regression via Incremental Predictive Sampling. 791-800 - Shizhong Liao, Xiao Zhang:
Online Kernel Selection via Tensor Sketching. 801-810
Long - Machine Learning Themes II
- Holger Trittenbach, Klemens Böhm:
One-Class Active Learning for Outlier Detection with Multiple Subspaces. 811-820 - Noy Cohen-Shapira, Lior Rokach, Bracha Shapira, Gilad Katz, Roman Vainshtein:
AutoGRD: Model Recommendation Through Graphical Dataset Representation. 821-830 - Yao Tan, Liu Yang, Qinghua Hu, Zhibin Du:
Batch Mode Active Learning for Semantic Segmentation Based on Multi-Clue Sample Selection. 831-840 - Theodoros Rekatsinas, Amol Deshpande, Aditya G. Parameswaran:
CRUX: Adaptive Querying for Efficient Crowdsourced Data Extraction. 841-850 - Ziqing Zhang, Cuicui Kang, Gang Xiong, Zhen Li:
Deep Forest with LRRS Feature for Fine-grained Website Fingerprinting with Encrypted SSL/TLS. 851-860
Long - Machine Learning Themes III
- Jian Kang, Hanghang Tong:
N2N: Network Derivative Mining. 861-870 - Xingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu, Yilong Yin:
MoBoost: A Self-improvement Framework for Linear-based Hashing. 871-880 - Xiangyang Liu, Bingkun Wei, Fanhua Shang, Hongying Liu:
Loopless Semi-Stochastic Gradient Descent with Less Hard Thresholding for Sparse Learning. 881-890 - Syed Shafat Ali, Tarique Anwar, Ajay Rastogi, Syed Afzal Murtaza Rizvi:
EPA: Exoneration and Prominence based Age for Infection Source Identification. 891-900
Long - Mining in Emerging Applications I
- Chang Liu, Yi Dong, Han Yu, Zhiqi Shen, Zhanning Gao, Pan Wang, Changgong Zhang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Generating Persuasive Visual Storylines for Promotional Videos. 901-910 - Victor J. Marin, Carlos R. Rivero:
Clustering Recurrent and Semantically Cohesive Program Statements in Introductory Programming Assignments. 911-920 - Ashish Sharma, Koustav Rudra, Niloy Ganguly:
Going Beyond Content Richness: Verified Information Aware Summarization of Crisis-Related Microblogs. 921-930 - Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann:
Declarative User Selection with Soft Constraints. 931-940 - Pradyumna Prakhar Sinha, Rohan Mishra, Ramit Sawhney, Debanjan Mahata, Rajiv Ratn Shah, Huan Liu:
#suicidal - A Multipronged Approach to Identify and Explore Suicidal Ideation in Twitter. 941-950
Long - Mining in Emerging Applications II
- Yucheng Jin, Wanling Cai, Li Chen, Nyi Nyi Htun, Katrien Verbert:
MusicBot: Evaluating Critiquing-Based Music Recommenders with Conversational Interaction. 951-960 - Francesco Bonchi, Edoardo Galimberti, Aristides Gionis, Bruno Ordozgoiti, Giancarlo Ruffo:
Discovering Polarized Communities in Signed Networks. 961-970 - Shuai Xiao, Le Guo, Zaifan Jiang, Lei Lv, Yuanbo Chen, Jun Zhu, Shuang Yang:
Model-based Constrained MDP for Budget Allocation in Sequential Incentive Marketing. 971-980 - Parisa Kaghazgaran, Majid Alfifi, James Caverlee:
Wide-Ranging Review Manipulation Attacks: Model, Empirical Study, and Countermeasures. 981-990 - Georgios Rizos, Konstantin Hemker, Björn W. Schuller:
Augment to Prevent: Short-Text Data Augmentation in Deep Learning for Hate-Speech Classification. 991-1000
Long - Natural Language Processing I
- Yixuan Cao, Dian Chen, Hongwei Li, Ping Luo:
Nested Relation Extraction with Iterative Neural Network. 1001-1010 - Yun Zhang, Yongguo Liu, Jiajing Zhu, Ziqiang Zheng, Xiaofeng Liu, Weiguang Wang, Zijie Chen, Shuangqing Zhai:
Learning Chinese Word Embeddings from Stroke, Structure and Pinyin of Characters. 1011-1020 - Shiyun Chen, Xin Lin, Yanghua Xiao, Liang He:
Sentiment Commonsense Induced Sequential Neural Networks for Sentiment Classification. 1021-1030 - Da Yin, Xiao Liu, Xiaojun Wan:
Interactive Multi-Grained Joint Model for Targeted Sentiment Analysis. 1031-1040 - Suhang Wang, Charu C. Aggarwal, Huan Liu:
Beyond word2vec: Distance-graph Tensor Factorization for Word and Document Embeddings. 1041-1050
Long - Natural Language Processing II
- Wei Huang, Enhong Chen, Qi Liu, Yuying Chen, Zai Huang, Yang Liu, Zhou Zhao, Dan Zhang, Shijin Wang:
Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach. 1051-1060 - Md Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu, Wei Kang:
A Semantics Aware Random Forest for Text Classification. 1061-1070 - Di Jiang, Yuanfeng Song, Yongxin Tong, Xueyang Wu, Weiwei Zhao, Qian Xu, Qiang Yang:
Federated Topic Modeling. 1071-1080 - Heyuan Wang, Ziyi Wu, Junyu Chen:
Multi-Turn Response Selection in Retrieval-Based Chatbots with Iterated Attentive Convolution Matching Network. 1081-1090 - Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie:
Sentiment Lexicon Enhanced Neural Sentiment Classification. 1091-1100
Long - Deep Nerual Network I
- Yong Luo, Huaizheng Zhang, Yonggang Wen, Xinwen Zhang:
ResumeGAN: An Optimized Deep Representation Learning Framework for Talent-Job Fit via Adversarial Learning. 1101-1110 - Shuai Yao, Yuexian Hou, Liangzhu Ge, Zeting Hu:
Regularizing Deep Neural Networks by Ensemble-based Low-Level Sample-Variances Method. 1111-1120 - Yixuan Chen,