Showcasing UVA ECE Research in Machine Learning, AI, Data Mining and Graph Mining
Scroll through the list of papers ECE faculty published in the year's most selective conferences for machine learning, artificial intelligence, data mining and graph mining research.
AAAI Conference on Artificial Intelligence
February 2021
Faisal Almutairi, Yunlong Wang, Dong Wang, Emily Zhao, Nicholas D. Sidiropoulos
eTREE: Learning Tree-structured Embeddings
Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas Glass, Jimeng Sun
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization
Chengshuai Shi and Cong Shen
Federated Multi-Armed Bandits
ACM International Conference on Information and Knowledge Management (CIKM)
November 2021
Faisal Almutairi, Bo Yang, and Nicholas D. Sidiropoulos
Xpl-CF: Explainable Embeddings for Feature-based Collaborative Filtering
Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter
Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo
Applied Paper: SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection
Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo
Resource Track: TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark
Song Wang, Xiao Huang, Chen Chen, Liang Wu, Jundong Li
REFORM: Error-Aware Few-Shot Knowledge Graph Completion
Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li
Short Paper: Fairness-Aware Unsupervised Feature Selection
Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin
Double-Scale Self-Supervised Hypergraph Convolutional Network for Group Recommendation
ACM International Conference on Web Search and Data Mining (WSDM)
March 2021
Aritra Konar, and Nicholas D. Sidiropoulos
Exploring the Subgraph Density-Size Trade-off via the Lovasz Extension
Jing Ma, Ruocheng Guo, Chen Chen, Aidong Zhang, Jundong Li
Deconfounding with Networked Observational Data in a Dynamic Environment
Liang Wu, Mihajlo Grbovic, Jundong Li
Toward User Engagement Optimization in 2D Presentation
Conference on Neural Information Processing Systems (NeurIPS)
December 2021
Ruiquan Huang, Weiqiang Wu, Jing Yang, and Cong Shen
Federated Linear Contextual Bandits
Chengshuai Shi, Wei Xiong, Cong Shen, and Jing Yang
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization
Chengshuai Shi, Haifeng Xu, Wei Xiong, and Cong Shen
(Almost) Free Incentivized Exploration from Decentralized Learning Agents
International Conference on Artificial Intelligence and Statistics (AISTATS)
April 2021
Hyun-Suk Lee, Cong Shen, William Zame, Jang-Won Lee, and Mihaela van der Schaar
SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups
Chengshuai Shi, Cong Shen, and Jing Yang
Federated Multi-Armed Bandits with Personalization
International Joint Conference on Artificial Intelligence
August 2021
Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li
Multi-Cause Effect Estimation with Disentangled Confounder Representation
Cheng Qian, Nikos Kargas, J. Sun, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun
Multi- version Tensor Completion for Time-delayed Spatio-temporal Data
KDD 2021
Association for Computing Machinery Special Interest Group on Knowledge Discovery and Data Mining
June 2021
Yushun Dong, Jian Kang, Hanghang Tong, Jundong Li
Research Track: Individual Fairness for Graph Neural Networks: A Ranking based Approach
Ji Gao, Xiao Huang, Jundong Li.
Research Track: Unsupervised Graph Alignment with Wasserstein Distance Discriminator
Paris Karakasis, Aritra Konar and Nicholas D. Sidiropoulos
Joint Graph Embedding and Alignment with Spectral Pivot
SIAM International Conference on Data Mining
April 2021
Charilaos Kanatsoulis and Nicholas D. Sidiropoulos
TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing
TheWeb Conference
Junliang Yu, Hongzhi Yin, Jundong Li, Qingyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation