TitleAuthors
Modelling Regional Crime Risk using Directed Graph of Check-insShakila Khan Rumi and Flora Dilys Salim
Transformer Models for Recommending Related Questions in Web SearchRajarshee Mitra, Manish Gupta and Sandipan Dandapat
Transformer Model Compression via Joint Structured Pruning and Knowledge DistillationBaiyun Cui, Yingming Li and Zhongfei Zhang
Tolerant Markov Boundary Discovery for Feature SelectionXingyu Wu, Bingbing Jiang, Yan Zhong and Huanhuan Chen
Dual Autoencoder Network with Swap Reconstruction for Cold-Start RecommendationBei Wang, Chenrui Zhang, Hao Zhang, Xiaoqing Lyu and Zhi Tang
Generative Adversarial Attributed Network Anomaly DetectionZhenxing Chen, Bo Liu, Meiqing Wang, Peng Dai, Jun Lv and Liefeng Bo
TABLE: A Task-Adaptive BERT-based ListwisE Ranking Model for Document RetrievalXingwu Sun, Hongyin Tang, Fuzheng Zhang, Yanling Cui, Beihong Jin and Zhongyuan Wang
Relation Extraction with Self-determined Graph Convolutional NetworksSunil Kumar Sahu, Derek Thomas, Billy Chiu, Neha Sengupta and Mohammady Mahdy
CGTR: Convolution Graph Topology Representation for Document RankingYuanyuan Qi, Jiayue Zhang, Songyan Liu, Weiran Xu and Jun Guo
Active Query of Private Demographic Data for Learning Fair ModelsYijun Liu and Chao Lan
Calibration of Google Trends DataRobert West
Recursive Balanced k-Subset Sum Partition for Rule-constrained Resource AllocationZhuo Li, Jiannong Cao, Zhongyu Yao, Wengen Li, Yu Yang and Jia Wang
Deep Interaction Machine: A Simple but Effective Model for High-order Feature InteractionsFeng Yu, Zhaocheng Liu, Qiang Liu, Haoli Zhang, Shu Wu and Liang Wang
DistilSum: Distilling the Knowledge for Extractive SummarizationRuipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Yanbing Liu and Jianlong Tan
Learning to Re-Rank with Contextualized StopwordsSebastian Hofstätter, Aldo Lipani, Markus Zlabinger and Allan Hanbury
A Comparison of Top-k Threshold Estimation Techniques for Disjunctive Query ProcessingAntonio Mallia, Michal Siedlaczek, Mengyang Sun and Torsten Suel
Event-Driven Network for Cross-Modal RetrievalZhixiong Zeng, Nan Xu and Wenji Mao
An Event-Oriented Neural Ranking Model for News RetrievalLin Zhao, Wanhui Qian, Liangjun Zang, Fuqing Zhu, Yijun Lu, Ruixuan Li, Jizhong Han and Songlin Hu
Robust Normalized Squares Maximization for Unsupervised Domain AdaptationWenju Zhang, Xiang Zhang, Qing Liao, Wenjing Yang, Long Lan and Zhigang Luo
Non-local Self-attentive Autoencoder for Genetic Functionality PredictionYun Li, Zhe Liu, Lina Yao and Zihuai He
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based ChatbotsJia-Chen Gu, Tianda Li, Quan Liu, Zhen-Hua Ling, Zhiming Su, Si Wei and Xiaodan Zhu
Data Augmentation for Graph ClassificationJiajun Zhou, Jie Shen and Qi Xuan
Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerceXichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Honggang Wang, Hongbo Deng and Zhenzhong Chen
A reproducibility study of deep and surface machine learning methods for human-related trajectory predictionBardh Prenkaj, Paola Velardi, Damiano Distante and Stefano Faralli
Training Sensitivity in Graph Isomorphism NetworkMd. Khaledur Rahman
Product Insights: Analyzing Product Intents in Web SearchNikitha Rao, Chetan Bansal, Subhabrata Mukherjee and Chandra Sekhar Maddila
Seasonal-Periodic Subgraph Mining in Temporal NetworksQianzhen Zhang, Deke Guo, Xiang Zhao, Xinyi Li and Xi Wang
Deep Multi-Interest Network for Click-through Rate PredictionZhibo Xiao, Luwei Yang, Wen Jiang, Yi Wei, Yi Hu and Hao Wang
Leveraging User Email Actions to Improve Ad-Close PredictionOleg Zendel, Yaroslav Fyodorov, Fiana Raiber, Natalia Silberstein, Oren Somekh and Ali Tabaja
An Empirical Study on Clarifying Question-Based SystemsJie Zou, Evangelos Kanoulas and Yiqun Liu
Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation AlgorithmsWayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu and Ji-Rong Wen
Hyper-Substructure Enhanced Link PredictorJian Zhang, Jun Zheng, Jinyin Chen and Qi Xuan
Diversifying Top-k Point-of-Interest Queries via Collective Social ReachStella Maropaki, Sean Chester, Christos Doulkeridis and Kjetil Nørvåg
Leveraging Historical Interaction Data for Improving Conversational Recommender SystemKun Zhou, Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang and Ji-Rong Wen
A Reinforced Semi-Supervised Neural Network for Helpful Review IdentificationYue Feng, Miao Fan, Mingming Sun and Ping Li
Learning Discriminative Virtual Sequences for Time Series ClassificationAbhilash Dorle, Fangyu Li, Wenzhan Song and Sheng Li
NumClaim: Investor’s Fine-grained Claim DetectionChung-Chi Chen, Hen-Hsen Huang and Hsin-Hsi Chen
Embedding Node Structural Role Identity into Hyperbolic SpaceLili Wang, Ying Lu, Chenghan Huang and Soroush Vosoughi
Multimodal Clustering via Deep Commonness and Uniqueness MiningLinlin Zong, Faqiang Miao, Xianchao Zhang and Bo Xu
NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture SearchXiaoyu Kou, Bingfeng Luo, Huang Hu, Daxin Jiang and Yan Zhang
Securing Bloom Filters for Privacy-preserving Record LinkageThilina Ranbaduge and Rainer Schnell
An Index Advisor Using Deep Reinforcement LearningHai Lan, Zhifeng Bao and Yuwei Peng
Are Negative Links Really Beneficial to Network Embedding? In-Depth Analysis and Interesting ResultsYeon-Chang Lee, Nayoun Seo and Sang-Wook Kim
Dimension Relation Modeling for Click-Through Rate PredictionZihao Zhao, Zhiwei Fang, Yong Li, Changping Peng, Yongjun Bao and Weipeng Yan
Estimating Topic Difficulty Using Normalized Discounted Cumulated GainLukas Gienapp, Benno Stein, Matthias Hagen and Martin Potthast
Behavior-driven Student Performance Prediction with Tri-Branch Convolutional Neural NetworkJian Zong, Chaoran Cui, Yuling Ma, Li Yao, Meng Chen and Yilong Yin
Resolving Class Imbalance Problem in Financial Credit Risk Assessment via Adversarial Data AugmentationYang Liu, Xiang Ao, Qiwei Zhong, Jinghua Feng, Jiayu Tang and Qing He
Learning to Generate Reformulation Actions for Scalable Conversational Query UnderstandingZihan Xu, Jiangang Zhu, Ling Geng, Yang Yang, Bojia Lin and Daxin Jiang
Hybrid Dynamic Pruning for Efficient and Effective Query ProcessingWenxiu Fang, Trent G. Marbach, Gang Wang and Xiaoguang Liu
Representative Negative Instance Generation for Online Ad TargetingYuhan Quan, Jingtao Ding, Depeng Jin, Jianbo Yang, Xing Zhou and Yong Li
DREAM: A Dynamic Relation-Aware Model for social recommendationLiqiang Song, Ye Bi, Mengqiu Yao, Zhenyu Wu, Jianming Wang and Jing Xiao
Rethinking Operators Placement of Stream Data Application in the EdgeThomas Lambert, Shadi Ibrahim and David Guyon
Community Identification in Signed Networks: A K-Truss Based ModelJun Zhao, Renjie Sun, Qiuyu Zhu, Xiaoyang Wang and Chen Chen
DynamicRec: A Dynamic Convolutional Network for Next Item RecommendationMd Mehrab Tanjim, Hammad Ayuubi and Garrison W. Cottrell
Multiplex Graph Neural Networks for Multi-behavior RecommendationWeifeng Zhang, Jingwen Mao, Yi Cao and Congfu Xu
Why is That a Background Article? A Qualitative Analysis of Relevance for News Background LinkingMarwa Essam and Tamer Elsayed
Building Test Collections using Bandit Techniques: A Reproducibility StudyBahadir Altun and Mucahid Kutlu
Integrating Diagnosis Rules into Deep Neural Networks for Bladder Cancer StagingCheng Zhang, Xiaodong Yue, Yufei Chen and Ying Lv
The Impact of Negative Relevance Judgments on NDCGLukas Gienapp, Maik Fröbe, Matthias Hagen and Martin Potthast
Distant supervision in BERT-based Adhoc Document RetrievalKoustav Rudra and Avishek Anand
DECWA : Density-Based Clustering using Wasserstein DistanceNabil El Malki, Robin Cugny, Olivier Teste and Franck Ravat
Query Abandonment Prediction with Recurrent Neural Models of Mouse Cursor MovementsLukas Brückner, Ioannis Arapakis and Luis A. Leiva
A View-Adversarial Framework for Multi-View Network EmbeddingDongqi Fu, Zhe Xu, Bo Li, Hanghang Tong and Jingrui He
Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to RankTao Yang, Shikai Fang, Shibo Li, Yulan Wang and Qingyao Ai
A Framework for Analyzing the Impact of Missing Data in Predictive ModelsFabiola Santore, Eduardo C. De Almeida, Wagner H. Bonat, Eduardo H. M. Pena and Luiz Eduardo S. Oliveira
Can Adversarial Weight Perturbations Inject Neural Backdoors?Siddhant Garg, Adarsh Kumar, Vibhor Goel and Yingyu Liang
Schema-Agnostic Entity Matching using Pre-trained Language ModelsKai Sheng Teong, Lay-Ki Soon and Tin Tin Su
Deep Adaptive Feature Aggregation in Multi-task Convolutional Neural NetworksZhen Shen, Chaoran Cui, Jin Huang, Jian Zong, Meng Chen and Yilong Yin
T-REX: A Topic-Aware Relation Extraction ModelWoohwan Jung and Kyuseok Shim
On-demand Influencer Discovery on Social MediaCheng Zheng, Qin Zhang, Sean Young and Wei Wang
Homogenization with Explicit Semantics Preservation for Heterogeneous Information NetworkTiancheng Huang, Zifeng Zhuang, Shanshan Zhang and Donglin Wang
CONE-Align: Consistent Embedding-based Network AlignmentXiyuan Chen, Mark Heimann, Fatemeh Vahedian and Danai Koutra
Ranking Clarification Questions via Natural Language InferenceVaibhav Kumar, Vikas Raunak and Jamie Callan
Muse: Multi-query Event Trend AggregationAllison Rozet, Olga Poppe, Chuan Lei and Elke Rundensteiner
Label-Aware Graph Convolutional NetworksHao Chen, Yue Xu, Feiran Huang, Zengde Deng, Wenbing Huang, Senzhang Wang, Peng He and Zhoujun Li
Learning to Form Skill-based Teams of ExpertsRadin Hamidi Rad, Hossein Fani, Mehdi Kargar, Jaroslaw Szlichta and Ebrahim Bagheri
Graph Unfolding NetworksHao Chen, Wenbing Huang, Yue Xu, Fuchun Sun and Zhoujun Li
Deep Metric Learning Based on Rank-sensitive Optimization of Top-k PrecisionNaoki Muramoto and Hai-Tao Yu
What Rankers Can be Statistically Distinguished in Multileaved Comparisons?Makoto P. Kato, Akiomi Nishida, Tomohiro Manabe, Sumio Fujita and Takehiro Yamamoto
Bridging the Gap between Click and Relevance for Learning-to-Rank with Minimal SupervisionJae-woong Lee, Young-In Song, Deokmin Haam, Sanghoon Lee, Woo-Sik Choi and Jongwuk Lee
CR-Graph: Community Reinforcement for Accurate Community DetectionYoonsuk Kang, Jun Seok Lee, Won-Yong Shin and Sang-Wook Kim
Automatic Gaussian Process Model Retrieval for Big DataFabian Berns and Christian Beecks
MetaTPOT: Enhancing A Tree-based Pipeline Optimization Tool Using Meta-LearningDoron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz and Lior Rokach
GAEAT: Graph Auto-Encoder Attention Networks for Knowledge Graph CompletionYanfei Han, Quan Fang, Jun Hu, Shengsheng Qian and Changsheng Xu
GGDs: Graph Generating DependenciesLarissa Shimomura, George H. L. Fletcher and Nikolay Yakovets
Fairness-Aware Learning with Prejudice Free RepresentationsRamanujam Madhavan and Mohit Wadhwa
FDCM: Towards Balanced and Generalizable Concept-based Models for Effective Medical RankingMohammad Bahrani and Thomas Roelleke
Feedback Loop and Bias Amplification in Recommender SystemsMasoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher and Robin Burke
Enhance Prototypical Networks with Text Descriptions for Few-shot Relation ClassificationKaijia Yang, Nantao Zheng, Xinyu Dai, Liang He, Shujian Huang and Jiajun Chen
A Synopses Data Engine for Interactive Extreme-Scale AnalyticsAntonis Kontaxakis, Nikos Giatrakos and Antonios Deligiannakis
DATSING: Data Augmented Time Series Forecasting with Adversarial Domain AdaptationHailin Hu, Mingjian Tang and Chengcheng Bai
Denoising individual bias for a fairer binary submatrix detectionChanglin Wan, Wennan Chang, Tong Zhao, Sha Cao and Chi Zhang
Application Performance Anomaly Detection with LSTM on Temporal Irregularities in LogsOihana Coustié, Xavier Baril, Josiane Mothe and Teste Olivier
Subsampled Randomized Hadamard Transform for Regression of Dynamic GraphsMostafa Haghir Chehreghani
Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation ModelsIsaiah Onando Mulang’, Kuldeep Singh, Chaitali Prabhu, Abhishek Nadgeri, Johannes Hoffart and Jens Lehmann
Time-aware Graph Relational Attention Network for Stock RecommendationXiaoting Ying, Cong Xu, Jianliang Gao, Jianxin Wang and Zhao Li
Few-shot Insider Threat DetectionShuhan Yuan, Panpan Zheng, Xintao Wu and Hanghang Tong
Sample Optimization For Display AdvertisingHongliang Fei, Shulong Tan, Pengju Guo, Wenbo Zhang, Hongfang Zhang and Ping Li
Diversifying Multi-aspect Search Results Using Simpson’s Diversity IndexJianghong Zhou, Surya Kallumadi and Eugene Agichtein
Neural Relation Extraction on Wikipedia Tables for Augmenting Knowledge GraphsErin Macdonald and Denilson Barbosa
LogBug: Generating Adversarial System Logs in Real TimeJingyu Sun, Bingyu Liu and Yuan Hong
Joint Estimation of User And Publisher Credibility for Fake News DetectionSriram Srinivasan, Rajdipa Chowdhury and Lise Getoor
Do You Really Like Her Post?: Network-Based Analysis for Understanding Like Activities in SNSJunho Song, Hyekyoung Park, Kyungsik Han and Sang-Wook Kim