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