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