Paper titles and author information appears as submitted.
Paper title and author changes will not be made to this page. The online program will reflect the most up-to-date presentation details, and is scheduled for posting in February 2022.
Modeling Reservoir Release in Stream Temperature Prediction Using Pseudo-Prospective Learning and Physical Simulations
Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison Appling, Samantha Oliver, Zhe Jiang
A Non-sequential Approach to Deep User Interest Model for CTR Prediction
Keke Zhao, Xing Zhao, Qi Cao, Linjian Mo
Mining Logical Arithmetic Expressions from Proper Representations
Eitan Kosman, Assaf Schuster, Ilya Kolchinsky
Multi-interest Sequence Modeling for Recommendation with Causal Embedding
Caiqi Sun, Penghao Lu, Lei Cheng, Zhenfu Cao, Xiaolei Dong, Yili Tang, Jun Zhou, Linjian Mo
Early Forecasting of the Impact of Traffic Accidents Using a Single Shot Observation
Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhiqian Chen
Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation
Yongliang Ding, Tao Zhou, Chuang Zhang, Yijing Luo, Juan Tang, Chen Gong
DualCast: Friendship-Preference Co-evolution Forecasting for Attributed Networks
Hiroyoshi Ito, Christos Faloutsos
On Predicting and Generating a Good Break Shot in Billiards Sports
Qianru Zhang, Zheng Wang, Cheng Long, S.M. Yiu
Capturing Model Uncertainty with Data Augmentation in Deep Learning
Wenming Jiang, Ying Zhao, Wu Yihan, Haojia Zuo
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences
Meng Liu, Shuiwang Ji
Leveraging Contextual Graphs for Stochastic Weight Completion in Sparse Road Networks
Xiaolin Han, Reynold Cheng, Tobias Grubenman, Silviu Maniu, Chenhao Ma, Xiaodong Li
Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series
Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Wei Zhang, Eamonn Keogh
Interpretable Molecular Graph Generation via Monotonic Constraints
Yuanqi Du, Xiaojie Guo, Amarda Shehu, Zhao Liang
Contextual-knowledge-aware Concept Prerequisite Relation Learning with Graph Neural Network
Hao Sun, Yuntao Li, Yan Zhang
Structure-Enhanced Heterogeneous Graph Contrastive Learning
Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu
Self-supervision based Semantic Alignment for Unsupervised Domain Adaptation
Ronghang Zhu, Sheng Li
Meta Adversarial Weight for Unsupervised Domain Adaptation
Chang Liu, Lichen Wang, Yun Fu
Sensitivity-aware Distance Measurement for Boosting Metric Learning
Haoliang Liu, Tan Yu, Ping Li
FedMe: Federated Learning via Model Exchange
Koji Matsuda, Yuya Sasaki, Chuan Xiao, Makoto Onizuka
SAGA: Signal-Aware Graph Aggregation
Maxwell J. McNeil, Boya Ma, Petko Bogdanov
Flexible Image Captioning via Internal Understanding and External Reasoning
Jiahui Wei, Zhixin Li, Jianwei Zhu, Huifang Ma
Causal Structure Learning with Binary Adjacency Matrix
Ignavier Ng, Shengyu Zhu, Zhuangyan Fang, Haoyang Li, Zhitang Chen, Jun Wang
Cyclic Transfer Learning for Recommender Systems with Heterogeneous Feedbacks
Xuelian Ni, Fei Xiong, Yutian Hu, Shirui Pan, Hongshu Chen, Liang Wang
Automatic Parameter Selection for Non-Redundant Clustering
Collin Leiber, Dominik Mautz, Claudia Plant, Christian Böhm
Diverse and Experienced Group Discovery via Hypergraph Clustering
Ilya Amburg, Nate Veldt, Austin R Benson
Transition Matrix Representation of Trees with Transposed Convolutions
Jaemin Yoo, Lee Sael
On Adaptive Principal Component Analysis and Its Implementations
Xiangyu Li, Hua Wang
Hypergraph Contrastive Learning for Electronic Health Records
Derun Cai, Chenxi Sun, Moxian Song, Baofeng Zhang, Shenda Hong, Hongyan Li
GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization
Yen-Hsiu Chou, Chenxi Sun, Derun Cai, Moxian Song, Shenda Hong, Hongyan Li
Learning Time-series Shapelets Enhancing Discriminability
Akihiro Yamaguchi
Learning from Imbalanced Crowdsourced Labeled Data
Wentao Wang, Joseph Thekinen, Xiaorui Liu, Zitao Liu, Jiliang Tang
CPTAM: Constituency Parse Tree Aggregation Method
Adithya Mr. Kulkarni, Nasim Sabetpour, Alexey Markin, Oliver Eulenstein, Qi Li
Contextual Bandits for Advertising Campaigns: A Diffusion-Model Independent Approach
Alexandra Iacob, Bogdan Cautis, Silviu Maniu
Noisy Truncated SGD: Optimization and Generalization
Yingxue Zhou, Xinyan Li, Arindam Banerjee
Multiperiod Corporate Default Prediction Through Neural Parametric Family Learning
Wei-Lun Luo, Yu-Ming Lu, Jheng-Hong Yang, Jin-Chuan Duan, Chuan-Ju Wang
Towards Similarity-Aware Time-Series Classification
Daochen Zha, Kwei-Herng Lai, Kaixiong N Zhou, Xia Hu
On the Persistence of Higher-Order Interactions in Real-World Hypergraphs
Hyunjin Choo, Kijung Shin
SSSNET: Semi-Supervised Signed Network Clustering
Yixuan He, Gesine D Reinert, Songchao Wang, Mihai Cucuringu
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Observational Data
Zhixuan Chu, Stephen Rathbun, Sheng Li
YACC: A Framework Generalizing Turán Shadow for Counting Large Cliques
Shweta Jain, Hanghang Tong
Neural Graph Matching for Pre-training Graph Neural Networks
Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen
Input Selection for Bandwidth-Limited Neural Network Inference
Stefan Oehmcke, Fabian Gieseke
Efficient Wind Speed Nowcasting with GPU-Accelerated Nearest Neighbors Algorithm
Arnaud Pannatier, Ricardo Picatoste, François Fleuret
Exceptional Model Mining for Repeated Cross-Sectional Data
Rianne M Schouten, Wouter Duivesteijn, Mykola Pechenizkiy
Dense and well-connected subgraph detection in dual networks
Tianyi Chen, Francesco Bonchi, David Garcia-Soriano, Atsushi Miyauchi, Charalampos Tsourakakis
Attributed Graph Clustering
Zhao Kang, Zhanyu Liu, Shirui Pan, Ling Tian
Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data
Bang An, Amin Vahedian, Xun Zhou, W. Nick Street, Yanhua Li
Anomaly Detection on Networks via Multi-Hpersphere Learning
Shuang Zhou, Xiao Huang, Ninghao Liu, Qiaoyu Tan, Fu-lai Chung
Branched Residual Network for Fast and Accurate Predictive Modeling of Materials Properties
Vishu Gupta, Wei-keng Liao, Alok Choudhary, Ankit Agrawal
Localized Graph Collaborative Filtering
Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Xing Xie, Jiliang Tang
Computation of the Empirical Frechet Mean for Sets of Large Graphs with Applications to Regression
Daniel Ferguson, François G Meyer
IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance
Grace Deng, Cuize Han, Tommaso Dreossi, Clarence Lee, David S. Matteson
Estimating Mutual Information via Geodesic kNN
Alexander Marx, Jonas Fischer
Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community Labeling
Andrew Stolman, Caleb C. Levy, Seshadhri C., Aneesh Sharma
Generalized Ordinal Regression for Linear and Deep Models
Fred S. Lu, Francis Ferraro, Edward Raff
Constrained Mean Shift Clustering
Maximilian B. Schier, Christoph Reinders, Bodo Rosenhahn
Deperturbation of Online Social Networks via Bayesian Label Transition
Jun Zhuang, Mohammad Al Hasan
Cycle-Balanced Representation Learning For Counterfactual Inference
Guanglin Zhou), Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu
HG-Meta: Graph Meta-learning over Heterogeneous Graphs
Qiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang
Incorporating Capacity to Generate Numeric Attributes and Leveraging Unrestricted Bayesian Networks
Yishuo Zhang, Nayyar Zaidi, Jiahui Zhou, Gang Li
Collaborative Attention Mechanism for Multi-Modal Time Series Classification
Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu
A Strong Node Classification Baseline for Temporal Graphs
Farimah Poursafaei, Zeljko Zilic, Reihaneh Rabbany
Heterogeneous Temporal Graph Neural Network
Yujie Fan, Mingxuan Ju, Chuxu Zhang, Yanfang Ye
Adapting Distilled Knowledge for Few-shot Relation Reasoning over Knowledge Graphs
Yiming Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang
StepDIRECT - A Derivative-Free Optimization Method for Stepwise Functions
Dzung Phan, Lam M. Nguyen, Hongsheng Liu
Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data?
Ryoma Sato
Positive Unlabeled Learning with a Sequential Selection Bias
Walter Gerych, Thomas Hartvigsen, Luke J Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu
Textbook Enhanced Student Learning Outcome Prediction
Tianqi Wang, Fenglong Ma, Tang Tang, Longfei Zhang, Jing Gao
Measuring disentangled generative spatio-temporal representation
Sichen Zhao, Wei Shao, Jeffrey Chan, Flora D. Salim
Improved Knowledge Distillation via Full Kernel Matrix Transfer
Qi Qian, Hao Li, Juhua Hu
Adversarially Reprogramming Pretrained Neural Networks for Data-limited and Cost-efficient Malware Detection
Lingwei Chen, Xiaoting Li, Dinghao Wu
Unified Forward/Inverse Framework for Lake Temperature Modeling with Invertibility aware Integration of Static and Time-series data
Kshitij Tayal, Rahul Ghosh, Jared Willard, Jordan Read, Xiaowei Jia, Vipin Kumar
Leveraging Dependencies among Learned Temporal Subsequences
Shoumik Roychoudhury, Fang Zhou, Zoran Obradovic
Unifying Human Mobility Forecasting and Trajectory Semantics Augmentation via Hawkes Process Based LSTM
Pengfei Wang, Kunpeng Liu, Yuanchun, Yanjie Fu
FAME: Fragment-based Conditional Molecular Generation for Phenotypic Drug Discovery
Hoang Pham, Lei Xie, Ping Zhang
Joint Time Series Chain: Detecting Unusual Evolving Trend across Time Series
Li Zhang, Nital Patel, Xiuqi Li, Jessica Lin
Entropy Weight Allocation: Positive and Unlabeled Learning via Optimal Transport
Wen Gu, Teng Zhang, Hai Jin
Time-aware Multi-interest Capsule Network for Sequential Recommendation
Zhikai Wang, Yanyan Shen
Explainable Concept Graph Completion by Bridging Open-Domain Relations and Concepts
Yue Zhang, Mingming Sun, Jingyuan Zhang, Ping Li
Knowledge-enhanced Spherical Representation Learning for Text Classification
Hafsa Ennajari, Nizar Bouguila, Jamal Bentahar
Deep GLSTM: Deep Graph Convolutional Network and LSTM based approach for predicting drug-target binding affinity
Shrimon Mukherjee, Madhusudan Ghosh, Partha Basuchowdhuri
Hybrid Tokenization and Datasets for Solving Mathematics and Science Problems Using Transformers
Pratik P. Mandlecha, Pawan Kumar, Neeraj Kollepara, Snehith K. Chatakonda