Ruijie Wang

Orcid: 0000-0003-1368-1688

Affiliations:
  • University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA
  • Shanghai Jiao Tong University, China (former)


According to our database1, Ruijie Wang authored at least 29 papers between 2018 and 2024.

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Bibliography

2024
SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach.
CoRR, 2024

2023
Unsupervised Image Classification by Ideological Affiliation from User-Content Interaction Patterns.
CoRR, 2023

Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning.
Proceedings of the ACM Web Conference 2023, 2023

Reconciling Competing Sampling Strategies of Network Embedding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TwinSync: A Digital Twin Synchronization Protocol for Bandwidth-Limited IoT Applications.
Proceedings of the 32nd International Conference on Computer Communications and Networks, 2023

Influence Pathway Discovery on Social Media.
Proceedings of the 9th IEEE International Conference on Collaboration and Internet Computing, 2023

Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Audio Keyword Reconstruction from On-Device Motion Sensor Signals via Neural Frequency Unfolding.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Computational Modeling of Hierarchically Polarized Groups by Structured Matrix Factorization.
Frontiers Big Data, 2021

Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders.
CoRR, 2021


DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

On Polarization Dynamics in the Age of Information Overload.
Proceedings of the Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, 2021

Contrastive Self-Supervised Representation Learning for Sensing Signals from the Time-Frequency Perspective.
Proceedings of the 30th International Conference on Computer Communications and Networks, 2021

2020
Handling Missing Sensors in Topology-Aware IoT Applications with Gated Graph Neural Network.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Hypergraph Learning with Line Expansion.
CoRR, 2020

Quantifying Projected Impact of Social Distancing Policies on COVID-19 Outcomes in the US.
CoRR, 2020

Revisiting "Over-smoothing" in Deep GCNs.
CoRR, 2020

Disentangling Overlapping Beliefs by Structured Matrix Factorization.
CoRR, 2020

Misinformation Detection and Adversarial Attack Cost Analysis in Directional Social Networks.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

Hierarchical Overlapping Belief Estimation by Structured Matrix Factorization.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
RI-SSGE: a framework with rule inference and sentence schema graph embedding for knowledge base query construction.
Proceedings of the ACM Turing Celebration Conference - China, 2019

2018
AceKG: A Large-scale Knowledge Graph for Academic Data Mining.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018


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