Regular Papers
Paper ID | Title | Author Names |
DM206 | Bi-Directional Causal Graph Learning through Low-rank Approximated Neural Network | Hao Huang, Chenxiao Xu, and Shinjae Yoo |
DM217 | Neural Embedding Propagation on Heterogeneous Networks | Carl Yang, Jieyu Zhang, and Jiawei Han |
DM225 | Generative Correlation Discovery Network for Multi-Label Learning | Lichen Wang, Zhengming Ding, Seungju Han, Jae-Joon Han, Changkyu Choi, and Yun Fu |
DM262 | Automatic Clustering by Detecting Significant Density Dips in Multiple Dimensions | Pantelis Chronis |
DM266 | Forest Distance Closeness Centrality in Disconnected Graphs | Jin Yujia, Bao Qi, and Zhang Zhongzhi |
DM274 | HierCon: Hierarchical Organization of Technical Documents based on Concepts | Keqian Li, Shiyang Li, Semih Yavuz, Hanwen Zha, Yu Su, and Xifeng Yan |
DM275 | Multi-Aspect Mining of Complex Sensor Sequences | Takato Honda, Yasuko Matsubara, Ryo Neyama, Mutsumi Abe, and Yasushi Sakurai |
DM278 | Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification | Zhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Guangcan Liu, and Meng Wang |
DM299 | Efficient Data Representation by Selecting Prototypes with Importance Weights | Karthik Gurumoorthy, Amit Dhurandhar, Guillermo Cecchi, and Charu Aggarwal |
DM308 | Learning Credible Deep Neural Networks with Rationale Regularization | Mengnan Du, Ninghao Liu, Fan Yang, and Xia Hu |
DM311 | Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction | Hao Yuan, Na Zou, Shaoting Zhang, Hanchuan Peng, and Shuiwang Ji |
DM320 | Adaptive Structure-Constrained Robust Latent Low-Rank Coding for Image Recovery | Zhao Zhang, Lei Wang, Sheng Li, Yang Wang, Zheng Zhang, Zhengjun Zha, and Meng Wang |
DM340 | Discovering Semantic Motifs in the Time Series | Shima Imani and Eamonn Keogh |
DM346 | An Efficient Policy Gradient Method for Conditional Dialogue Generation | Lei Cai and Shuiwang Ji |
DM359 | Sharp Characterization of Optimal Minibatch Size for Stochastic Finite Sum Convex Optimization | Atsushi Nitanda, Tomoya Murata, and Taiji Suzuki |
DM373 | Exploring Semantic Relationships for Image Captioning without Parallel Data | Fenglin Liu, Meng Gao, Tianhao Zhang, and Yuexian Zou |
DM391 | Adversarial Robustness of Similarity-Based Link Prediction | Kai Zhou, Tomasz Michalak, and Yevgeniy Vorobeychik |
DM393 | MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification | Monidipa Das, Mahardhika Pratama, Septiviana Savitri, and Zhang Jie |
DM394 | Generating Reliable Friends via Adversarial Training to Improve Social Recommendation | Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, and Qinyong Wang |
DM410 | Privacy-Preserving Auto-Driving: a GAN-based Approach to Protect Vehicular Camera Data | Zuobin Xiong, Wei Li, Qilong Han, and Zhipeng Cai |
DM412 | A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining | Yanyan Wei, Zhao Zhang, Haijun Zhang, Richang Hong, and Meng Wang |
DM418 | XOR-based Boolean Matrix Decomposition | Jörg Wicker, Cathy Hua, Rayner Rebello, and Bernhard Pfahringer |
DM420 | Closed Form Word Embedding Alignment | Sunipa Dev, Safia Hassan, and Jeff M Phillips |
DM443 | Transfer Learning with Dynamic Adversarial Adaptation Network | Chaohui Yu, Jindong Wang, Yiqiang Chen, and Meiyu Huang |
DM471 | Fast LSTM Inference by Dynamic Decomposition on Cloud Systems | Yang You, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Cho-Jui Hsieh, Kurt Keutzer, and James Demmel |
DM481 | Social Trust Network Embedding | Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu, Bo Du, and Jian Yang |
DM487 | Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket | Tara Safavi, Caleb Belth, Lukas Faber, Davide Mottin, Emmanuel Müller, and Danai Koutra |
DM494 | Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text | Oluwaseyi Feyisetan, Tom Diethe, and Thomas Drake |
DM513 | VSB-DVM: An End-to-end Bayesian Nonparametric Generalization of Deep Variational Mixture Model | Xi Yang, Yuyao Yan, Kaizhu Huang, and Rui Zhang |
DM542 | Reinforcement Learning Based Monte Carlo Tree Search for Temporal Path Discovery | Pengfei Ding, Guanfeng Liu, Pengpeng Zhao, An Liu, Zhixu Li, and Kai Zheng |
DM559 | Discrete Overlapping Community Detection with Pseudo Supervision | Fanghua Ye, Chuan Chen, Zibin Zheng, Rong-Hua Li, and Jeffrey Xu Yu |
DM564 | Preference Relationship-Based CrossCMN Scheme for Answer Ranking in Community QA | Qing Chen, Jianji Wang, Xuguang Lan, and Nanning Zheng |
DM572 | Cross-modal Zero-shot Hashing | Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, and Xiangliang Zhang |
DM574 | Discriminative Regularized Deep Generative Models for Semi-Supervised Learning | Qianqian Xie, Min Peng, and HUA WANG |
DM577 | Matching Novelty while Training: Novel Recommendation based on Personalized Pairwise Loss Weighting | Kachun Lo and Tsukasa Ishigaki |
DM599 | DMFP: A Dynamic Multi-faceted Fine-grained Preference Model for Recommendation | Huizhao Wang, Guanfeng Liu, Yan Zhao, Bolong Zheng, Pengpeng Zhao, and Kai Zheng |
DM604 | Self-Attentive Attributed Network Embedding Through Adversarial Learning | Wenchao Yu, Wei Cheng, Charu Aggarwal, Bo Zong, Haifeng Chen, and Wei Wang |
DM630 | Improving Spectral Clustering with Deep Embedding and Cluster Estimation | Liang Duan, Charu Aggarwal, Shuai Ma, and Saket Sathe |
DM633 | Time Series Mining in the Face of Fast Moving Streams using a Learned Approximate Matrix Profile | Zachary Zimmerman, Nader Shakibay Senobari, Gareth Funning, Evangelos Papalexakis, Samet Oymak, Philip Brisk, and Eamonn Keogh |
DM636 | HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories | Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, and Jiawei Han |
DM652 | Adaptive Cognitive Activity Recognition with Reinforced Attentive CNN | Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Shuai Zhang, and Yunhao Liu |
DM659 | Machine Comprehension-Incorporated Relevance Matching | Chen Zhang, Hao Wang, Liang Zhou, Yijun Wang, and Can Chen |
DM665 | Performing Co-Membership Attacks Against Deep Generative Models | Kin Sum Liu, Chaowei Xiao, Bo Li, and Jie Gao |
DM678 | Tabular Cell Classification Using Pre-Trained Cell Embeddings | Majid Ghasemi-Gol, Jay Pujara, and Pedro Szekely |
DM707 | Mining Audio, Text and Visual Information for Talking Face Generation | Lingyun Yu and Jun Yu |
DM715 | Discriminatively Relabel for Partial Multi-Label Learning | Shuo He, Ke Deng, Li Li, and Senlin Shu |
DM720 | Aftershock Detection with Multi-Scale Description based Neural Network | Qi Zhang, Tong Xu, Hengshu Zhu, Lifu Zhang, Hui Xiong, Enhong Chen, and Qi Liu |
DM728 | Supervised Class Distribution Learning for GANs-based Imbalanced Classification | Zixin Cai, Xinyue Wang, Mingjie Zhou, Jian Xu, and Liping Jing |
DM739 | Neural Feature Search: A Neural Architecture for Automated Feature Engineering | Xiangning Chen, Qingwei Lin, Chuan Luo, Xudong Li, Hongyu Zhang, Yong Xu, Yingnong Dang, Kaixin Sui, Xu Zhang, Bo Qiao, Weiyi Zhang, Wei Wu, Murali Chintalapati, and Dongmei Zhang |
DM743 | Temporal Self-Attention Network for Medical Concept Embedding | Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jiang Jing, and Michael Blumenstein |
DM752 | Reinforced Molecule Generation with Heterogeneous States | Fangzhou Shi, Shan You, and Chang Xu |
DM767 | Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification | Uchenna Akujuobi, Han Yufei, Qiannan Zhang, and Xiangliang Zhang |
DM787 | Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory | Subhabrata Dutta, Dipankar Das, and Tanmoy Chakraborty |
DM801 | Learning Classifiers on Positive and Unlabeled Data with Policy Gradient | Tianyu Li, Chien-Chih Wang, Yukun Ma, Patricia Ortal, Qifang Zhao, Bjorn Stenger, and Yu Hirate |
DM808 | Generalized Adversarial Training in Riemannian Space | Shufei Zhang, Kaizhu Huang, Rui Zhang, and Amir Hussain |
DM832 | Domain Knowledge Guided Deep Learning with Electronic Health Records | Changchang Yin, Rongjian Zhao, Buyue Qian, Xin Lv, and Ping Zhang |
DM857 | Exploiting Multi-domain Visual Information for Fake News Detection | Peng Qi, Juan Cao, Tianyun Yang, Junbo Guo, and Jintao Li |
DM867 | Efficient Sketching Algorithm for Sparse Binary Data | Rameshwar Pratap, Debajyoti Bera, and Karthik Revanuru |
DM882 | Online Budgeted Least Squares with Unlabeled Data | Chen Huang, Peiyan Li, Chongming Gao, Qinli Yang, and Junming Shao |
DM905 | Large-Scale Personalized Delivery for Guaranteed Display Advertising with Real-Time Pacing | Zhen Fang, Yang Li, Chuanren Liu, Wenxiang Zhu, Yu Zhang, and Wenjun Zhou |
DM918 | Generative Oversampling with a Contrastive Variational Autoencoder | Wangzhi Dai, Kenney Ng, Kristen Severson, Wei Huang, Fred Anderson, and Collin Stultz |
DM924 | Dataset Recommendation via Variational Graph Autoencoder | Basmah Altaf, Uchenna Akujuobi, Lu Yu, and Xiangliang Zhang |
DM926 | Deep Multi-attributed Graph Translation with Node-Edge Co-evolution | Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, and Sai Manoj Pudukotai Dinakarrao |
DM927 | Discovering Subdimensional Motifs of Different Length in Large-Scale Multivariate Time Series | Yifeng Gao and Jessica Lin |
DM942 | InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms | Haipeng Chen, Yan Jiao, Zhiwei Qin, Xiaocheng Tang, Hao Li, Bo An, Hongtu Zhu, and Jieping Ye |
DM951 | Learning a Low-rank Tensor of Pharmacogenomic Multi-relations from Biomedical Networks | Zhuliu Li, Wei Zhang, R. Stephanie Huang, and Rui Kuang |
DM968 | Domain-Adversarial Graph Neural Networks for Text Classification | Man Wu, Shirui Pan, Xingquan Zhu, Chuan Zhou, and Lei Pan |
DM999 | Computing Optimal Assignments in Linear Time for Approximate Graph Matching | Nils M. Kriege, Pierre-Louis Giscard, Franka Bause, and Richard C. Wilson |
DM1003 | Automatic Generation of Medical Imaging Diagnostic Report with Hierarchical Recurrent Neural Network | Changchang Yin, Buyue Qian, Jishang Wei, XIaoyu Li, Xianli Zhang, Yang Li, and Qinghua Zheng |
DM1008 | One-stage Deep Instrumental Variable Method for Causal Inference from Observational Data | Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, and Guangquan Zhang |
DM1020 | Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding | Xixun Lin, Hong Yang, Jia Wu, Chuan Zhou, and Bin Wang |
DM1021 | Rank-Based Multi-task Learning For Fair Regression | Chen Zhao and Feng Chen |
DM1024 | Boosted Trajectory Calibration for Traffic State Estimation | Xitong Zhang, Liyang Xie, Zheng Wang, and Jiayu Zhou |
DM1032 | Learning Dynamic Author Representations with Temporal Language Models | Edouard Delasalles, Sylvain Lamprier, and Ludovic Denoyer |
DM1048 | PERCeIDs: Periodic Community Detection | Lin Zhang, Alexander Gorovits, and Petko Bogdanov |
DM1062 | A Semi-supervised Graph Attentive Network for Fraud Detection | Daixin Wang, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang, and Qi Yuan |
DM1064 | Multi-hop Knowledge Base Question Answering with an Iterative Sequence Matching Model | YUNSHI LAN, SHUOHANG WANG, and JING JIANG |
DM1098 | Towards Making Deep Transfer Learning Never Hurt | Ruosi Wan, Haoyi Xiong, Xingjian Li, Zhanxing Zhu, and Jun Huan |
DM1104 | Beyond Geo-First Law: Learning Spatial Representations via Integrated Autocorrelations and Complementarity | Jiadi Du, Yunchao Zhang, Pengyang Wang, Jennifer Leopold, and Yanjie Fu |
DM1105 | Modeling Graphs with Vertex Replacement Grammars | Satyaki Sikdar, Justus Hibshman, and Tim Weninger |
DM1107 | DCMN: Double Core Memory Network for Patient Outcome Prediction with Multimodal Data | Yujuan Feng, Zhenxing Xu, Lin Gan, Ning Chen, Bin Yu, Ting Chen, and Fei Wang |
DM1110 | DeepTrust: A Deep User Model of Homophily Effect for Trust Prediction | Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Qianli Xing, and Wenbin Hu |
DM1113 | M-estimation in Low-rank Matrix Factorization: a General Framework | Wei Tu, Peng Liu, Jingyu Zhao, Yi Liu, Linglong Kong, Guodong Li, Bei Jiang, Guangjian Tian, and Hengshuai Yao |
DM1119 | Distribution of Node Embeddings as Multiresolution Features for Graphs | Mark Heimann, Tara Safavi, and Danai Koutra |
DM1121 | A Parallel Simulated Annealing Enhancement of the Optimal-Matching Heuristic for Ride Sharing | Lihao Zhang, Zeyang Ye, Keli Xiao, and Bo Jin |
DM1135 | RiWalk: Fast Structural Node Embedding via Role Identification | Xuewei Ma, Geng Qin, Zhiyang Qiu, Mingxin Zheng, and Zhe Wang |
DM1140 | Collaborative Distillation for Top-N Recommendation | Jae-woong Lee, Minjin Choi, Jongwuk Lee, and Hyunjung Shim |
DM1161 | Classify EEG and Reveal Latent Graph Structure with Spatio-Temporal Graph Convolutional Neural Network | Xiaoyu Li, Jishang Wei, Buyue Qian, An Li, Xuan Liu, and Qinghua Zheng |
DM1172 | Identifying High Potential Talent: A Neural Network based Dynamic Social Profiling Approach | Yuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, and Hui Xiong |
DM1178 | Jointly embedding the local and global relations of heterogeneous graph for rumor detection | Chunyuan Yuan, QianWen Ma, Wei Zhou, Songlin Hu, and Jizhong Han |
DM1195 | Learning to Sample: an Active Learning Framework | Jingyu Shao, Qing Wang, and Fangbing Liu |
DM1213 | Streaming Random Patches for Evolving Data Stream Classification | Heitor Murilo Gomes, Jesse Read, and Albert Bifet |
DM1251 | NVSRN: A Neural Variational Scaling Reasoning Network for Initiative Response Generation | Jinxin Chang, Ruifang He, Haiyang Xu, Kun Han, Longbiao Wang, Xiangang Li, and Jianwu Dang |
DM1296 | Interpretable Feature Learning of Graphs using Tensor Decomposition | Shah Muhammad Hamdi and Rafal Angryk |
DM1300 | CUDA: Contradistinguisher for Unsupervised Domain Adaptation | Sourabh Balgi and Ambedkar Dukkipati |
Short Papers
Paper ID | Title | Author Names |
DM205 | Deep Embedded Cluster Tree | Dominik Mautz, Claudia Plant, and Christian Böhm |
DM227 | Fast Sparse Coding Inference with Historical Information | Zhenchang Zhang, Fei Jiang, and Ruimin Shen |
DM236 | KnowRisk: An Interpretable Knowledge-Guided Model for Disease Risk Prediction | Xianli Zhang, Buyue Qian, Yang Li, Changchang Yin, Xudong Wang, and Qinghua Zheng |
DM257 | Diversity-Aware Recommendation by User Interest Domain Coverage Maximization | Yifan He, Haitao Zou, Hualong Yu, Qi Wang, and Shang Gao |
DM263 | I-CARS: An Interactive Context-Aware Recommender System | Rosni Lumbantoruan, Xiangmin Zhou, Yongli Ren, and Lei CHEN |
DM280 | CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare | Jingyue Gao, Xiting Wang, Yasha Wang, Zhao Yang, Junyi Gao, Jiangtao Wang, Wen Tang, and Xing Xie |
DM317 | Scene Text Recognition with Auto-Aligned Recurrent Feature Generator | Qiangpeng Yang, Hongsheng Jin, Mengli Cheng, Wenmeng Zhou, Jun Huang, and Wei Lin |
DM323 | Exploiting Time Series Consensus Motifs to Find Structure in Time Series Sets | Kaveh Kamgar, Shaghayegh Gharghabi, and Eamonn Keogh |
DM326 | Fast Semantic Preserving Hashing for Large-Scale Cross-Modal Retrieval | Xingzhi Wang, Xin LIU, Shujuan Peng, Yiu-ming Cheung, Zhikai Hu, and Nannan Wang |
DM342 | Leaning Local and Global Multi-Context Representations for Document Classification | Yi Liu, Hao Yuan, and Shuiwang Ji |
DM376 | Intervention-Aware Early Warning | Dhivya Eswaran, Christos Faloutsos, Nina Mishra, and Yonatan Naamad |
DM398 | Adaptive Neural Network for Node Classification in Dynamic Networks | Dongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, and Xiang Zhang |
DM405 | Transfer Metric Learning for Unseen Domains | Atsutoshi Kumagai, Tomoharu Iwata, and Yasuhiro Fujiwara |
DM422 | ACE: Adaptively Similarity-preserved Representation Learning for Individual Treatment Effect Estimation | Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, and Aidong Zhang |
DM432 | Spatio-Temporal GRU for Trajectory Classication | Hongbin Liu, Hao Wu, Weiwei Sun, and Ickjai Lee |
DM445 | Constrained Matrix Factorization for Course Score Prediction | Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, and Jian-Huang Lai |
DM447 | An Integrated Model for Urban Subregion House Price Forecasting: a Multi-source Data Perspective | Chuancai Ge, Yang Wang, XiKe Xie, Hengchang Liu, and Zhengyang Zhou |
DM466 | DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums | Yuyang Gao, Lingfei Wu, Houman Homayoun, and Liang Zhao |
DM491 | Admiring: Adversarial Multi-Network Mining | Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, and Hanghang Tong |
DM509 | MIX: A Joint Learning Framework for Detecting Both Clustered and Scattered Outliers in Mixed-Type Data | Hongzuo Xu, Yijie Wang, Yongjun Wang, and Zhiyue Wu |
DM526 | Collaborative Label Correction via Entropy Thresholding | Hao Wu, Jiangchao Yao, Jiajie Wang, Yinru Chen, Ya Zhang, and Yanfeng Wang |
DM541 | Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking | Yue Wang, Yao Wan, Chenwei Zhang, Lu Bai, Lixin Cui, and Philip Yu |
DM544 | Fair Adversarial Gradient Tree Boosting | Vincent Grari, Boris Ruf, Sylvain Lamprier, and Marcin Detyniecki |
DM580 | Iterative Graph Alignment via Supermodular Approximation | Aritra Konar and Nicholas D. Sidiropoulos |
DM586 | Learning to Hash for Efficient Search over Incomplete Knowledge Graphs | Meng Wang, Haomin Shen, Sen Wang, Lina Yao, Yinlin Jiang, Guilin Qi, and Yang Chen |
DM587 | Generation of Low Distortion Adversarial Attacks via Convex Programming | Tianyun Zhang, Sijia Liu, Yanzhi Wang, and Makan Fardad |
DM593 | Efficient Bayesian Optimization for Uncertainty Reduction over Perceived Optima Locations | Vu Nguyen, Sunil Gupta, Santu Rana, My Thai, Cheng Li, and Svetha Venkatesh |
DM607 | VASE: A Twitter-based Vulnerability Analysis and Score Engine | Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, and VS Subrahmanian |
DM610 | Nearest Neighbor Classifiers versus Random Forests and Support Vector Machines | Saket Sathe and Charu Aggarwal |
DM618 | Learning review representations from user and product level information for spam detection | Chunyuan Yuan, Wei Zhou, QianWen Ma, Shangwen Lv, Songlin Hu, and Jizhong Han |
DM620 | Inductive Embedding Learning on Attributed Heterogeneous Networks via Multi-task Sequence-to-Sequence Learning | Yunfei Chu, Chunyan Feng, Caili Guo, Tongze He, Yaqing Wang, and Jenq-Neng Hwang |
DM621 | Multi-view Outlier Detection in Deep Intact Space | Yu-Xuan Ji, Ling Huang, Heng-Ping He, Chang-Dong Wang, Guangqiang Xie, Wei Shi, and Kun-Yu Lin |
DM624 | User Response Driven Content Understanding with Causal Inference | Fei Tan, Zhi Wei, Abhishek Pani, and Zhenyu Yan |
DM628 | Quantized Adversarial Training: An Iterative Quantized Local Search Approach | Yifan Guo, Tianxi Ji, Qianlong Wang, Lixing Yu, and Pan Li |
DM642 | Recognizing Variables from their Data via Deep Embeddings of Distributions | Jonas Mueller and Alexander Smola |
DM644 | An Integrated Multimodal Attention-Based Approach for Bank Stress Test Prediction | Farid Razzak, Fei Yi, Yang Yang, and Hui Xiong |
DM653 | Senti2Pop: Sentiment-Aware Topic Popularity Prediction on Social Media | Jinning Li, Yirui Gao, Xiaofeng Gao, Yan Shi, and Guihai Chen |
DM657 | From Joint Feature Selection and Self-Representation Learning to Robust Multi-view Subspace Clustering | Hui Yan, Siyu Liu, and Philip Yu |
DM662 | First Index-Free Manifold Ranking-based Image Retrieval with Output Bound | Dandan Lin, Victor Junqiu Wei, and Raymond Chi Wing Wong |
DM684 | DRCGR: Deep reinforcement learning framework incorporating CNN and GAN-based for interactive recommendation | Rong Gao, Haifeng Xia, Jing Li, Donghua Liu, Shuai Chen, and Gang Chun |
DM693 | Inquiry Spam Detection via Jointly Exploiting Temporal-Categorical Behavior and Linguistics | Qiwei Zhong, Jiayu Tang, Jinghua Feng, and Jianfeng Chi |
DM694 | Nearest Neighbor Ensembles—An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes | Xin-Qiang Cai, Peng Zhao, Kai Ming Ting, Xin Mu, and Yuan Jiang |
DM699 | Dynamic News Recommendation with Hierarchical Attention Network | Hui Zhang, Xu Chen, and Shuai Ma |
DM704 | EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees | Jaemin Yoo and Lee Sael |
DM711 | To Be or Not To Be: Analyzing & Modeling Social Recommendation in Online Social Networks | Ye Li, Hong Xie, Yishi Lin, and John C.S. Lui |
DM754 | Learning Attentional Temporal Cues of Brainwaves with Spatial Embedding for Motion Intent Detection | Dalin Zhang, Kaixuan Chen, Debao Jian, Lina Yao, Sen Wang, and Po Li |
DM797 | Adaptive teacher-and-student model for heterogeneous domain adaptation | Yunyun Wang, Xuzhang Chen, Songcan Chen, and Hui Xue |
DM826 | Session-based Recommendation with Local Invariance | Tianwen Chen and Raymond Chi Wing Wong |
DM848 | Collective Protection: Preventing Sensitive Inferences via Integrative Transformation | Dalin Zhang, Lina Yao, Kaixuan Chen, Guodong Long, and Sen Wang |
DM861 | A Wasserstein Subsequence Kernel for Time Series | Christian Bock, Matteo Togninalli, Elisabetta Ghisu, Thomas Gumbsch, Bastian Rieck, and Karsten Borgwardt |
DM890 | TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks | Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, and Jun Luo |
DM894 | Unveiling Taxi Drivers’ Strategies via cGAIL — Conditional Generative Adversarial Imitation Learning | Xin Zhang, Yanhua Li, Xun Zhou, and Jun Luo |
DM896 | Permutation Strategies for Mining Significant Sequential Patterns | Andrea Tonon and Fabio Vandin |
DM900 | Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering | Youwei Liang, Dong Huang, and Chang-Dong Wang |
DM909 | Curve Fitting from Probabilistic Emissions and Applications to Dynamic Item Response Theory | Ajay Tripathi and Benjamin Domingue |
DM928 | What is the value of experimentation & measurement? | C. H. Bryan Liu and Benjamin Paul Chamberlain |
DM936 | Discovering Reliable Correlations in Categorical Data | Panagiotis Mandros, Mario Boley, and Jilles Vreeken |
DM948 | Efficient Mining and Exploration of Multiple Axis-aligned Intersecting Objects | Tilemachos Pechlivanoglou, Vincent Chu, and Manos Papagelis |
DM974 | Network Identification and Authentication | Shengmin Jin, Vir Phoha, and Reza Zafarani |
DM976 | Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior | QINGZHE LI, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, and Lingfei Wu |
DM978 | Discovering Robustly Connected Subgraphs with Simple Descriptions | Janis Kalofolias, Mario Boley, and Jilles Vreeken |
DM980 | Improving Disentangled Representation Learning with the Beta Bernoulli Process | Prashnna Gyawali, Zhiyuan Li, Cameron Knight, Sandesh Ghimire, B. Milan Horacek, John Sapp, and Linwei Wang |
DM981 | Space-efficient Feature Maps for Scalable Alignment Kernels | Yasuo Tabei, Yoshihiro Yamanishi, and Rasmus Pagh |
DM996 | MTEX-CNN: Multivariate Time series EXplanations for Predictions with Convolutional Neural Networks | Roy Assaf, Ioana Giurgiu, Frank Bagehorn, and Anika Schumann |
DM997 | Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning | Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, and Yonggang Hu |
DM1007 | Scalable Explanation of Inferences on Large Graphs | Chao Chen, Yifei Liu, Xi Zhang, and Sihong Xie |
DM1015 | Fast Classification Algorithms via Distributed Accelerated Alternating Direction Method of Multipliers | Huihui Wang, Shunmei Meng, Jinbiao Yu, and Jing Zhang |
DM1028 | Mining Maximal Clique Summary with Effective Sampling | Xiaofan Li, Rui Zhou, Yujun Dai, Lu Chen, Chengfei Liu, Qiang He, and Yun Yang |
DM1035 | Personalized Neural Usefulness Network for Rating Prediction | Qianqian Wang and Min Zhang |
DM1041 | A Factorized Version Space Algorithm for “Human-In-the-Loop” Data Exploration | Luciano Di Palma, Yanlei Diao, and Anna Liu |
DM1054 | Relation Structure-Aware Heterogeneous Graph Neural Network | Shichao Zhu, Chuan Zhou, Shirui Pan, Xingquan Zhu, and Bin Wang |
DM1056 | TMDA: Task-Specific Multi-Source Domain Adaptation via Clustering Embedded Adversarial Training | Haotian Wang, Wenjing Yang, Zhipeng Lin, and Yue Yu |
DM1065 | Deep Reinforcement Learning for Dynamic Multi-Driver Dispatching and Repositioning Problem | John Holler, Risto Vuorio, Tiancheng Jin, Satinder Singh, Zhiwei Qin, Jieping Ye, Xiaocheng Tang, Yan Jiao, and Chenxi Wang |
DM1074 | On the Privacy of Socially Contagious Attributes | Aria Rezaei and Jie Gao |
DM1077 | A Distributed Fair Machine Learning Framework with Private Demographic Data Protection | Hui Hu, Yijun Liu, Zhen Wang, and Chao Lan |
DM1087 | Deep-Aligned Convolutional Neural Network for Skeleton-based Action Recognition and Segmentation | Babak Hosseini, Barbara Hammer, and Romain Montagne |
DM1093 | Semi-supervised Adversarial Domain Adaptation for Seagrass Detection in Multispectral Images | Kazi Aminul Islam, Victoria Hill, Blake Schaeffer, Richard Zimmerman, and Jiang Li |
DM1097 | Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering | Mingyue Cheng, Runlong Yu, Qi Liu, Vincent W Zheng, Hongke Zhao, Hefu Zhang, and Enhong Chen |
DM1115 | Constructing Educational Concept Maps with Multiple Relationships from Multi-source Data | xiaoqing huang, Qi Liu, chao wang, haoyu han, Jianhui Ma, Enhong Chen, Yu Su, and Shijin Wang |
DM1125 | Learning Robust Representations with Graph Denoising Policy Network | Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Hongyuan Zha, Wei Zhang, Xiaofeng He, and Haifeng Chen |
DM1128 | Counterfactual Augmentation of Attention Supervision | Seungtaek Choi, Haeju Park, and Seung-won Hwang |
DM1132 | Set Your Clock: Optimal Timeline for Network Processes | Daniel DiTursi, Carolyn Kaminski, and Petko Bogdanov |
DM1141 | On the Robust Splitting Criterion of Random Forest | Binbin Yang, Wei Gao, and Ming Li |
DM1149 | Multi-Graph Convolution Collaborative Filtering | Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, and Xiuqiang He |
DM1156 | ChainNet: Learning on Blockchain Graphs with Topological Features | Ceren Abay, Umar Islambekov, Cuneyt Akcora, Yulia Gel, Murat Kantarcioglu, Yahui Tian, and Bhavani Thuraisingham |
DM1165 | Predicting Water Quality for Whole Woronora Delivery Network with Sparse Samples | Bin Liang, Zhidong Li, Ronnie Taib, George Mathews, Yang Wang, Shiyang Lu, Fang Chen, Ting Hua, Robert Ius, Andrew Peters, Dammika Vitanage, and Corinna Doolan |
DM1171 | Deep Technology Tracing for High-tech Companies | Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, and Jianhui Ma |
DM1188 | Efficient Approximate Solution Path Algorithm for Order Weight $L_{1}$-Norm with Accuracy Guarantee | Runxue Bao, Bin Gu, and Heng Huang |
DM1193 | A Weighted Aggregating SGD for Scalable Parallelization in Deep Learning | Pengzhan Guo, Zeyang Ye, and Keli Xiao |
DM1199 | A Model-Agnostic Approach for Explaining the Predictions on Clustered Data | Zihan Zhou, Mingxuan Sun, and Jianhua Chen |
DM1202 | Dual Adversarial Learning Based Network Alignment | Jiaxiang Ren, Yang Zhou, Ruoming Jin, Zijie Zhang, Dejing Dou, and Pengwei Wang |
DM1215 | AMENDER: an Attentive and Aggregate Multi-layered Network for Dataset Recommendation | Yujun Chen, Yuanhong Wang, Yutao Zhang, Juhua Pu, and Xiangliang Zhang |
DM1217 | An Arm-wise Randomization Approach to Combinatorial Linear Semi-bandits | Kei Takemura and Shinji Ito |
DM1218 | CSNN: Contextual Sentiment Neural Network | Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Kiyoshi Izumi, and Tatsuo Yamashita |
DM1222 | Discovering Relevant Reviews for Answering Product-related Queries | Shiwei Zhang, JeyHan Lau, Xiuzhen Zhang, Jeffrey Chan, and Cecile Paris |
DM1228 | Unsupervised Qualitative Scoring for Binary Item Feature | Koji Ichikawa and Hiroshi Tamano |
DM1259 | Block-Structured Optimization for Subgraph Detection in Interdependent Networks | Fei Jie, Chunpai Wang, Feng Chen, Lei Li, and Xindong Wu |
DM1262 | Triple-shapelet Networks for Time Series Classification | Qianli Ma, Wanqing Zhuang, and Garrison Cottrell |
DM1268 | Dense Semantic Matching Network for Multi-turn Conversation | Yongrui Li and Jun Yu |