| 2021 | A Linear Primal-Dual Multi-Instance SVM for Big Data Classifications. Lodewijk Brand, Lauren Zoe Baker, Carla Ellefsen, Jackson Sargent, Hua Wang |
| 2021 | A Lookahead Algorithm for Robust Subspace Recovery. Guihong Wan, Haim Schweitzer |
| 2021 | A Multi-view Confidence-calibrated Framework for Fair and Stable Graph Representation Learning. Xu Zhang, Liang Zhang, Bo Jin, Xinjiang Lu |
| 2021 | A Regularized Wasserstein Framework for Graph Kernels. Asiri Wijesinghe, Qing Wang, Stephen Gould |
| 2021 | A Robust Algorithm to Unifying Offline Causal Inference and Online Multi-armed Bandit Learning. Qiao Tang, Hong Xie |
| 2021 | A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam |
| 2021 | A general framework for mining concept-drifting data streams with evolvable features. Jiaqi Peng, Jinxia Guo, Qinli Yang, Jianyun Lu, Junming Shao |
| 2021 | A new multiple instance algorithm using structural information. Xiaoyan Zhu, Ting Wang, Jiayin Wang, Ying Xu, Yuqian Liu |
| 2021 | ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu |
| 2021 | AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks. Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han |
| 2021 | Accurate Graph-Based PU Learning without Class Prior. Jaemin Yoo, Junghun Kim, Hoyoung Yoon, Geonsoo Kim, Changwon Jang, U Kang |
| 2021 | Accurately Quantifying under Score Variability. André Gustavo Maletzke, Denis Moreira dos Reis, Waqar Hassan, Gustavo Batista |
| 2021 | AdaBoosting Clusters on Graph Neural Networks. Li Zheng, Jun Gao, Zhao Li, Ji Zhang |
| 2021 | Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications. Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan |
| 2021 | Adaptive Spatio-Temporal Convolutional Network for Traffic Prediction. Mingyang Zhang, Yong Li, Funing Sun, Diansheng Guo, Pan Hui |
| 2021 | Addressing Exposure Bias in Uplift Modeling for Large-scale Online Advertising. Wenwei Ke, Chuanren Liu, Xiangfu Shi, Yiqiao Dai, Philip S. Yu, Xiaoqiang Zhu |
| 2021 | Adversarial Learning of Balanced Triangles for Accurate Community Detection on Signed Networks. Yoonsuk Kang, Woncheol Lee, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim |
| 2021 | Adversarial Regularized Reconstruction for Anomaly Detection and Generation. Angelica Liguori, Giuseppe Manco, Francesco Sergio Pisani, Ettore Ritacco |
| 2021 | Alternative Ruleset Discovery to Support Black-box Model Predictions. Yoichi Sasaki, Yuzuru Okajima |
| 2021 | An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding. Pengfei Jiao, Ruili Lu, Di Jin, Yinghui Wang, Huaming Wu |
| 2021 | An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data. Marcelo Rodrigues de Holanda Maia, Alexandre Plastino, Alex Alves Freitas |
| 2021 | Anomaly Detection with Prototype-Guided Discriminative Latent Embeddings. Yuandu Lai, Yahong Han, Yaowei Wang |
| 2021 | Aspect-based Sentiment Classification via Reinforcement Learning. Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu |
| 2021 | Attacking Similarity-Based Sign Prediction. Michal Tomasz Godziszewski, Tomasz P. Michalak, Marcin Waniek, Talal Rahwan, Kai Zhou, Yulin Zhu |
| 2021 | Attention-based Feature Interaction for Efficient Online Knowledge Distillation. Tongtong Su, Qiyu Liang, Jinsong Zhang, Zhaoyang Yu, Gang Wang, Xiaoguang Liu |
| 2021 | Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting. Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon |
| 2021 | AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Xiwang Yang |
| 2021 | BaT: Beat-aligned Transformer for Electrocardiogram Classification. Xiaoyu Li, Chen Li, Yuhua Wei, Yuyao Sun, Jishang Wei, Xiang Li, Buyue Qian |
| 2021 | Better Prevent than React: Deep Stratified Learning to Predict Hate Intensity of Twitter Reply Chains. Dhruv Sahnan, Snehil Dahiya, Vasu Goel, Anil Bandhakavi, Tanmoy Chakraborty |
| 2021 | Bi-Level Attention Graph Neural Networks. Roshni G. Iyer, Wei Wang, Yizhou Sun |
| 2021 | BioHanBERT: A Hanzi-aware Pre-trained Language Model for Chinese Biomedical Text Mining. Xiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu, Philip S. Yu |
| 2021 | Boosting Deep Ensemble Performance with Hierarchical Pruning. Yanzhao Wu, Ling Liu |
| 2021 | C Yingxue Zhang, Yanhua Li, Xun Zhou, Zhenming Liu, Jun Luo |
| 2021 | CASPITA: Mining Statistically Significant Paths in Time Series Data from an Unknown Network. Andrea Tonon, Fabio Vandin |
| 2021 | Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning. Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang |
| 2021 | Causal Discovery with Flow-based Conditional Density Estimation. Shaogang Ren, Haiyan Yin, Mingming Sun, Ping Li |
| 2021 | Climate Modeling with Neural Diffusion Equations. Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park |
| 2021 | Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates. Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Jonathan Weill, Noam Koenigstein |
| 2021 | Combining Ranking and Point-wise Losses for Training Deep Survival Analysis Models. Lu Wang, Yan Li, Mark H. Chignell |
| 2021 | Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho |
| 2021 | Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation. Daqing Wu, Xiao Luo, Zeyu Ma, Chong Chen, Pengfei Wang, Minghua Deng, Jinwen Ma |
| 2021 | Compressibility of Distributed Document Representations. Blaz Skrlj, Matej Petkovic |
| 2021 | Constrained Non-Affine Alignment of Embeddings. Yuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Mahashweta Das, Mangesh Bendre, Feifei Li, Wei Zhang, Jeff M. Phillips |
| 2021 | Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions. Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff |
| 2021 | Conversion Prediction with Delayed Feedback: A Multi-task Learning Approach. Yilin Hou, Guangming Zhao, Chuanren Liu, Zhonglin Zu, Xiaoqiang Zhu |
| 2021 | Crowdsourcing with Self-paced Workers. Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Lizhen Cui |
| 2021 | Cutting to the Chase with Warm-Start Contextual Bandits. Bastian Oetomo, R. Malinga Perera, Renata Borovica-Gajic, Benjamin I. P. Rubinstein |
| 2021 | DAC-ML: Domain Adaptable Continuous Meta-Learning for Urban Dynamics Prediction. Xin Zhang, Yanhua Li, Xun Zhou, Oren Mangoubi, Ziming Zhang, Vincent Filardi, Jun Luo |
| 2021 | DCF: An Efficient and Robust Density-Based Clustering Method. Joshua Tobin, Mimi Zhang |
| 2021 | DIVINIA: Rare Object Localization and Search in Overhead Imagery. Jonathan Amazon, Khurram Shafique, Zeeshan Rasheed, Aaron Reite |
| 2021 | Deep Generation of Heterogeneous Networks. Chen Ling, Carl Yang, Liang Zhao |
| 2021 | Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning. Dongjie Wang, Kunpeng Liu, Pauline Johnson, Leilei Sun, Bowen Du, Yanjie Fu |
| 2021 | Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System. Ziming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou |
| 2021 | Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval. Dingrong Wang, Hitesh Sapkota, Xumin Liu, Qi Yu |
| 2021 | Density-Based Clustering for Adaptive Density Variation. Li Qian, Claudia Plant, Christian Böhm |
| 2021 | Detecting adversaries in Crowdsourcing. Panagiotis A. Traganitis, Georgios B. Giannakis |
| 2021 | Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning. Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum |
| 2021 | DhakaNet: Unstructured Vehicle Detection using Limited Computational Resources. Tarik Reza Toha, Masfiqur Rahaman, Saiful Islam Salim, Mainul Hossain, Arif Mohaimin Sadri, A. B. M. Alim Al Islam |
| 2021 | Dictionary Pair-based Data-Free Fast Deep Neural Network Compression. Yangcheng Gao, Zhao Zhang, Haijun Zhang, Mingbo Zhao, Yi Yang, Meng Wang |
| 2021 | Differentially Private String Sanitization for Frequency-Based Mining Tasks. Huiping Chen, Changyu Dong, Liyue Fan, Grigorios Loukides, Solon P. Pissis, Leen Stougie |
| 2021 | Discriminative Additive Scale Loss for Deep Imbalanced Classification and Embedding. Zhao Zhang, Weiming Jiang, Yang Wang, Qiaolin Ye, Mingbo Zhao, Mingliang Xu, Meng Wang |
| 2021 | Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences. Xixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li, Jia Wu, Bin Wang |
| 2021 | Dynamic Attributed Graph Prediction with Conditional Normalizing Flows. Daheng Wang, Tong Zhao, Nitesh V. Chawla, Meng Jiang |
| 2021 | ENGINE: Enhancing Neuroimaging and Genetic Information by Neural Embedding. Wonjun Ko, Wonsik Jung, Eunjin Jeon, Ahmad Wisnu Mulyadi, Heung-Il Suk |
| 2021 | Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy. Kunpeng Liu, Pengfei Wang, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu |
| 2021 | Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification. Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang, Yuanchun Zhou |
| 2021 | Exploring Reflective Limitation of Behavior Cloning in Autonomous Vehicles. Mohammad Hossein Nazeri, Mahdi Bohlouli |
| 2021 | Exploring the Long Short-Term Dependencies to Infer Shot Influence in Badminton Matches. Wei-Yao Wang, Teng-Fong Chan, Hui-Kuo Yang, Chih-Chuan Wang, Yao-Chung Fan, Wen-Chih Peng |
| 2021 | FGC-Stream: A novel joint miner for frequent generators and closed itemsets in data streams. Tomas Martin, Petko Valtchev, Louis-Romain Roux |
| 2021 | FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance. Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, Quan Z. Sheng |
| 2021 | Fair Decision-making Under Uncertainty. Wenbin Zhang, Jeremy C. Weiss |
| 2021 | Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein Distance. Wei Fan, Kunpeng Liu, Rui Xie, Hao Liu, Hui Xiong, Yanjie Fu |
| 2021 | Fast Attributed Graph Embedding via Density of States. Saurabh Sawlani, Lingxiao Zhao, Leman Akoglu |
| 2021 | Fast computation of distance-generalized cores using sampling. Nikolaj Tatti |
| 2021 | Federated Principal Component Analysis for Genome-Wide Association Studies. Anne Hartebrodt, Reza Nasirigerdeh, David B. Blumenthal, Richard Röttger |
| 2021 | Few-Shot Partial Multi-Label Learning. Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Lizhen Cui |
| 2021 | Finding Age Path of Self-Paced Learning. Bin Gu, Zhou Zhai, Xiang Li, Heng Huang |
| 2021 | Flexible, Robust, Scalable Semi-supervised Learning via Reliability Propagation. Chen Huang, Liangxu Pan, Qinli Yang, Hongliang Wang, Junming Shao |
| 2021 | GANBLR: A Tabular Data Generation Model. Yishuo Zhang, Nayyar Abbas Zaidi, Jiahui Zhou, Gang Li |
| 2021 | GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs. Yucai Fan, Yuhang Yao, Carlee Joe-Wong |
| 2021 | GNES: Learning to Explain Graph Neural Networks. Yuyang Gao, Tong Steven Sun, Rishab Bhatt, Dazhou Yu, Sungsoo Ray Hong, Liang Zhao |
| 2021 | GQNAS: Graph Q Network for Neural Architecture Search. Yijian Qin, Xin Wang, Peng Cui, Wenwu Zhu |
| 2021 | Gain-Some-Lose-Some: Reliable Quantification Under General Dataset Shift. Benjamin Denham, Edmund M.-K. Lai, Roopak Sinha, Muhammad Asif Naeem |
| 2021 | Gated Information Bottleneck for Generalization in Sequential Environments. Francesco Alesiani, Shujian Yu, Xi Yu |
| 2021 | Generating Explanations for Recommendation Systems via Injective VAE. Zerui Cai |
| 2021 | Generating Structural Node Representations via Higher-order Features and Adversarial Learning. Wang Zhang, Yang Yu, Ting Pan, Lin Pan, Pengfei Jiao, Wenjun Wang |
| 2021 | Global Convolutional Neural Processes. Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-Young Paik, Sen Wang |
| 2021 | Graph Neighborhood Routing and Random Walk for Session-based Recommendation. Zizhuo Zhang, Bang Wang |
| 2021 | Graph Transfer Learning. Andrey Gritsenko, Yuan Guo, Kimia Shayestehfard, Armin Moharrer, Jennifer G. Dy, Stratis Ioannidis |
| 2021 | Graph-based Adversarial Online Kernel Learning with Adaptive Embedding. Peng Yang, Xiaoyun Li, Ping Li |
| 2021 | GraphANGEL: Adaptive aNd Structure-Aware Sampling on Graph NEuraL Networks. Jingshu Peng, Yanyan Shen, Lei Chen |
| 2021 | Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective. Jie Huang, Qi Liu, Fei Wang, Zhenya Huang, Songtao Fang, Runze Wu, Enhong Chen, Yu Su, Shijin Wang |
| 2021 | Heterogeneous Graph Neural Architecture Search. Yang Gao, Peng Zhang, Zhao Li, Chuan Zhou, Yongchao Liu, Yue Hu |
| 2021 | Heterogeneous Graph Neural Network with Distance Encoding. Houye Ji, Cheng Yang, Chuan Shi, Pan Li |
| 2021 | Heterogeneous Stream-reservoir Graph Networks with Data Assimilation. Shengyu Chen, Alison P. Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan S. Read, Jeffrey M. Sadler, Jacob Zwart, Xiaowei Jia |
| 2021 | Highly Scalable and Provably Accurate Classification in Poincaré Balls. Eli Chien, Chao Pan, Puoya Tabaghi, Olgica Milenkovic |
| 2021 | Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation. Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu |
| 2021 | HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation. M. Vijaikumar, Deepesh V. Hada, Shirish K. Shevade |
| 2021 | Hypergraph Convolutional Network for Group Recommendation. Renqi Jia, Xiaofei Zhou, Linhua Dong, Shirui Pan |
| 2021 | Hypergraph Ego-networks and Their Temporal Evolution. Cazamere Comrie, Jon M. Kleinberg |
| 2021 | IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021 James Bailey, Pauli Miettinen, Yun Sing Koh, Dacheng Tao, Xindong Wu |
| 2021 | Impression Allocation and Policy Search in Display Advertising. Di Wu, Cheng Chen, Xiujun Chen, Junwei Pan, Xun Yang, Qing Tan, Jian Xu, Kuang-Chih Lee |
| 2021 | Improving Deep Forest by Exploiting High-order Interactions. Yi-He Chen, Shen-Huan Lyu, Yuan Jiang |
| 2021 | Incomplete Multi-view Multi-label Active Learning. Chuanwei Qu, Kuangmeng Wang, Hong Zhang, Guoxian Yu, Carlotta Domeniconi |
| 2021 | Isolation Kernel Density Estimation. Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Hang Zhang |
| 2021 | Joint Scence Network and Attention-Guided for Image Captioning. Dongming Zhou, Jing Yang, Canlong Zhang, Yanping Tang |
| 2021 | Jointly Multi-Similarity Loss for Deep Metric Learning. Li Zhang, Shitian Shen, Lingxiao Li, Han Wang, Xueying Li, Jun Lang |
| 2021 | K-means for Evolving Data Streams. Arkaitz Bidaurrazaga, Aritz Pérez, Marco Capó |
| 2021 | LAGA: Lagged AllReduce with Gradient Accumulation for Minimal Idle Time. Ido Hakimi, Rotem Zamir Aviv, Kfir Y. Levy, Assaf Schuster |
| 2021 | LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values. Zhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou |
| 2021 | LOGIC: Probabilistic Machine Learning for Time Series Classification. Fabian Berns, Jan David Hüwel, Christian Beecks |
| 2021 | Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records. Shuai Niu, Qing Yin, Yunya Song, Yike Guo, Xian Yang |
| 2021 | Learnable Structural Semantic Readout for Graph Classification. Dongha Lee, Su Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu |
| 2021 | Learning Dynamic User Interactions for Online Forum Commenting Prediction. Wu-Jiu Sun, Xiao Fan Liu, Fei Shen |
| 2021 | Learning Personal Human Biases and Representations for Subjective Tasks in Natural Language Processing. Jan Kocon, Marcin Gruza, Julita Bielaniewicz, Damian Grimling, Kamil Kanclerz, Piotr Milkowski, Przemyslaw Kazienko |
| 2021 | Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training. Mingyue Cheng, Fajie Yuan, Qi Liu, Xin Xin, Enhong Chen |
| 2021 | Learning to Reweight Samples with Offline Loss Sequence. Yuhua Wei, Xiaoyu Li, Jishang Wei, Buyue Qian, Chen Li |
| 2021 | Limited-memory Common-directions Method With Subsampled Newton Directions for Large-scale Linear Classification. Jui-Nan Yen, Chih-Jen Lin |
| 2021 | MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems. Yun-Yong Ko, Jae-Seo Yu, Hong-Kyun Bae, Yongjun Park, Dongwon Lee, Sang-Wook Kim |
| 2021 | MC-RGCN: A Multi-Channel Recurrent Graph Convolutional Network to Learn High-Order Social Relations for Diffusion Prediction. Ningbo Huang, Gang Zhou, Mengli Zhang, Meng Zhang |
| 2021 | MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series. Shuai Zhang, Jianxin Li, Haoyi Zhou, Qishan Zhu, Shanghang Zhang, Danding Wang |
| 2021 | Matrix Profile XXIII: Contrast Profile: A Novel Time Series Primitive that Allows Real World Classification. Ryan Mercer, Sara Alaee, Alireza Abdoli, Shailendra Singh, Amy C. Murillo, Eamonn J. Keogh |
| 2021 | Mcore: Multi-Agent Collaborative Learning for Knowledge-Graph-Enhanced Recommendation. Xujia Li, Yanyan Shen, Lei Chen |
| 2021 | Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation. Ruihong Qiu, Zi Huang, Hongzhi Yin |
| 2021 | MetaEDL: Meta Evidential Learning For Uncertainty-Aware Cold-Start Recommendations. Krishna Prasad Neupane, Ervine Zheng, Qi Yu |
| 2021 | MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning. Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu |
| 2021 | Multi-Classification Prediction of Alzheimer's Disease based on Fusing Multi-modal Features. Qiao Pan, Ke Ding, Dehua Chen |
| 2021 | Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching. Fan Zhou, Chenfan Lu, Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Jieping Ye, Hongtu Zhu |
| 2021 | Multi-objective Explanations of GNN Predictions. Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie |
| 2021 | Multi-way Time Series Join on Multi-length Patterns. Md. Parvez Mollah, Vinícius M. A. de Souza, Abdullah Mueen |
| 2021 | Multimodal N-best List Rescoring with Weakly Supervised Pre-training in Hybrid Speech Recognition. Yuanfeng Song, Xiaoling Huang, Xuefang Zhao, Di Jiang, Raymond Chi-Wing Wong |
| 2021 | Nonlinear Causal Structure Learning for Mixed Data. Wenjuan Wei, Lu Feng |
| 2021 | Online Learning in Variable Feature Spaces with Mixed Data. Yi He, Jiaxian Dong, Bo-Jian Hou, Yu Wang, Fei Wang |
| 2021 | Online Testing of Subgroup Treatment Effects Based on Value Difference. Miao Yu, Wenbin Lu, Rui Song |
| 2021 | Operation-level Progressive Differentiable Architecture Search. Xunyu Zhu, Jian Li, Yong Liu, Jun Liao, Weiping Wang |
| 2021 | Out-of-Category Document Identification Using Target-Category Names as Weak Supervision. Dongha Lee, Dongmin Hyun, Jiawei Han, Hwanjo Yu |
| 2021 | Outlier-Robust Multi-View Subspace Clustering with Prior Constraints. Mehrnaz Najafi, Lifang He, Philip S. Yu |
| 2021 | Overfitting Avoidance in Tensor Train Factorization and Completion: Prior Analysis and Inference. Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu |
| 2021 | PARWiS: Winner determination from Active Pairwise Comparisons under a Shoestring Budget. Dev Yashpal Sheth, Arun Rajkumar |
| 2021 | PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series. Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim |
| 2021 | PRGAN: Personalized Recommendation with Conditional Generative Adversarial Networks. Jing Wen, Bi-Yi Chen, Chang-Dong Wang, Zhihong Tian |
| 2021 | PSANet - subspace attention for personalized compatibility. Meet Taraviya, Anurag Beniwal, Yen-Liang Lin, Larry Davis |
| 2021 | PaGAN: Generative Adversarial Network for Patent understanding. Guillaume Guarino, Ahmed Samet, Amir Nafi, Denis Cavallucci |
| 2021 | Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature. Tianshu Bao, Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Taylor T. Johnson |
| 2021 | Pest-YOLO: Deep Image Mining and Multi-Feature Fusion for Real-Time Agriculture Pest Detection. Zhe Tang, Zhengyun Chen, Fang Qi, Lingyan Zhang, Shuhong Chen |
| 2021 | PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields. Nikhil Muralidhar, Jie Bu, Ze Cao, Neil Raj, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne |
| 2021 | Physics Interpretable Shallow-Deep Neural Networks for Physical System Identification with Unobservability. Jingyi Yuan, Yang Weng |
| 2021 | Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems. Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read |
| 2021 | Powered Hawkes-Dirichlet Process: Challenging Textual Clustering using a Flexible Temporal Prior. Gaël Poux-Médard, Julien Velcin, Sabine Loudcher |
| 2021 | Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Services. Yasas Senarath, Ayan Mukhopadhyay, Sayyed Mohsen Vazirizade, Hemant Purohit, Saideep Nannapaneni, Abhishek Dubey |
| 2021 | Precise Bayes Classifier: Summary of Results. Amin Vahedian, Xun Zhou |
| 2021 | Predictive Modeling of Clinical Events with Mutual Enhancement Between Longitudinal Patient Records and Medical Knowledge Graph. Xiao Xu, Xian Xu, Yuyao Sun, Xiaoshuang Liu, Xiang Li, Guotong Xie, Fei Wang |
| 2021 | Preference-aware Group Task Assignment in Spatial Crowdsourcing: A Mutual Information-based Approach. Yunchuan Li, Yan Zhao, Kai Zheng |
| 2021 | Promoting Fairness through Hyperparameter Optimization. André Ferreira Cruz, Pedro Saleiro, Catarina G. Belém, Carlos Soares, Pedro Bizarro |
| 2021 | Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone. Hui Guan, Umana Chaudhary, Yuanchao Xu, Lin Ning, Lijun Zhang, Xipeng Shen |
| 2021 | Risk-aware Temporal Cascade Reconstruction to Detect Asymptomatic Cases : For the CDC MInD Healthcare Network. Hankyu Jang, Shreyas Pai, Bijaya Adhikari, Sriram V. Pemmaraju |
| 2021 | Robust BiPoly-Matching for Multi-Granular Entities. Ween Jiann Lee, Maksim Tkachenko, Hady W. Lauw |
| 2021 | Robust Low-rank Deep Feature Recovery in CNNs: Toward Low Information Loss and Fast Convergence. Jiahuan Ren, Zhao Zhang, Jicong Fan, Haijun Zhang, Mingliang Xu, Meng Wang |
| 2021 | Robustifying DARTS by Eliminating Information Bypass Leakage via Explicit Sparse Regularization. Jiuling Zhang, Zhiming Ding |
| 2021 | SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata. Ajay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin F. Rousseau, Yifan Peng, Ying Ding |
| 2021 | SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records. Chengxi Zang, Fei Wang |
| 2021 | SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series. Jingwei Zuo, Karine Zeitouni, Yehia Taher |
| 2021 | SSDNet: State Space Decomposition Neural Network for Time Series Forecasting. Yang Lin, Irena Koprinska, Mashud Rana |
| 2021 | STAN: Adversarial Network for Cross-domain Question Difficulty Prediction. Ye Huang, Wei Huang, Shiwei Tong, Zhenya Huang, Qi Liu, Enhong Chen, Jianhui Ma, Liang Wan, Shijin Wang |
| 2021 | STING: Self-attention based Time-series Imputation Networks using GAN. Eunkyu Oh, Taehun Kim, Yunhu Ji, Sushil Khyalia |
| 2021 | Scalable Pareto Front Approximation for Deep Multi-Objective Learning. Michael Ruchte, Josif Grabocka |
| 2021 | Self-learn to Explain Siamese Networks Robustly. Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie |
| 2021 | Self-supervised Universal Domain Adaptation with Adaptive Memory Separation. Ronghang Zhu, Sheng Li |
| 2021 | Semi-Supervised Graph Attention Networks for Event Representation Learning. João Pedro Rodrigues Mattos, Ricardo M. Marcacini |
| 2021 | Sequential Diagnosis Prediction with Transformer and Ontological Representation. Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang |
| 2021 | Source Inference Attacks in Federated Learning. Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Xuyun Zhang |
| 2021 | Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting. Song Yang, Jiamou Liu, Kaiqi Zhao |
| 2021 | Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence. Wennan Chang, Pengdao Dang, Changlin Wan, Xiaoyu Lu, Yue Fang, Tong Zhao, Yong Zang, Bo Li, Chi Zhang, Sha Cao |
| 2021 | Spikelet: An Adaptive Symbolic Approximation for Finding Higher-Level Structure in Time Series. Makoto Imamura, Takaaki Nakamura |
| 2021 | StarGAT: Star-Shaped Hierarchical Graph Attentional Network for Heterogeneous Network Representation Learning. Wen-Zhi Li, Ling Huang, Chang-Dong Wang, Yuxin Ye |
| 2021 | Streaming Dynamic Graph Neural Networks for Continuous-Time Temporal Graph Modeling. Sheng Tian, Tao Xiong, Leilei Shi |
| 2021 | Structure-Aware Stabilization of Adversarial Robustness with Massive Contrastive Adversaries. Shuo Yang, Zeyu Feng, Pei Du, Bo Du, Chang Xu |
| 2021 | Summarizing User-Item Matrix By Group Utility Maximization. Yongjie Wang, Ke Wang, Cheng Long, Chunyan Miao |
| 2021 | T Mandar Sharma, John S. Brownstein, Naren Ramakrishnan |
| 2021 | TEST-GCN: Topologically Enhanced Spatial-Temporal Graph Convolutional Networks for Traffic Forecasting. Muhammad Afif Ali, Suriya Venkatesan, Victor C. Liang, Hannes Kruppa |
| 2021 | THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting. Geon Lee, Kijung Shin |
| 2021 | TRIO: Task-agnostic dataset representation optimized for automatic algorithm selection. Noy Cohen-Shapira, Lior Rokach |
| 2021 | Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network. Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Qi Liu, Enhong Chen |
| 2021 | Temporal Clustering with External Memory Network for Disease Progression Modeling. Zicong Zhang, Changchang Yin, Ping Zhang |
| 2021 | Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference. Shaojie Dai, Jinshuai Wang, Chao Huang, Yanwei Yu, Junyu Dong |
| 2021 | Thin Semantics Enhancement via High-Frequency Priori Rule for Thin Structures Segmentation. Yuting He, Rongjun Ge, Jiasong Wu, Jean-Louis Coatrieux, Huazhong Shu, Yang Chen, Guanyu Yang, Shuo Li |
| 2021 | Topic-Attentive Encoder-Decoder with Pre-Trained Language Model for Keyphrase Generation. Cangqi Zhou, Jinling Shang, Jing Zhang, Qianmu Li, Dianming Hu |
| 2021 | Topic-Noise Models: Modeling Topic and Noise Distributions in Social Media Post Collections. Rob Churchill, Lisa Singh |
| 2021 | Towards Generating Real-World Time Series Data. Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li |
| 2021 | Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis. Yang Li, Xianli Zhang, Buyue Qian, Zeyu Gao, Chong Guan, Yefeng Zheng, Hansen Zheng, Fenglang Wu, Chen Li |
| 2021 | Towards Stochastic Neural Network via Feature Distribution Calibration. Hao Yang, Min Wang, Yun Zhou, Yongxin Yang |
| 2021 | Trajectory WaveNet: A Trajectory-Based Model for Traffic Forecasting. Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku |
| 2021 | Triplet Deep Subspace Clustering via Self-Supervised Data Augmentation. Zhao Zhang, Xianzhen Li, Haijun Zhang, Yi Yang, Shuicheng Yan, Meng Wang |
| 2021 | Truth Discovery in Sequence Labels from Crowds. Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, Qi Li |
| 2021 | USTEP: Unfixed Search Tree for Efficient Log Parsing. Arthur Vervaet, Raja Chiky, Mar Callau-Zori |
| 2021 | Ultra fast warping window optimization for Dynamic Time Warping. Chang Wei Tan, Matthieu Herrmann, Geoffrey I. Webb |
| 2021 | Unified Fairness from Data to Learning Algorithm. Yanfu Zhang, Lei Luo, Heng Huang |
| 2021 | Zero-shot Key Information Extraction from Mixed-Style Tables: Pre-training on Wikipedia. Qingping Yang, Yingpeng Hu, Rongyu Cao, Hongwei Li, Ping Luo |