Yong Wang

Orcid: 0000-0002-8699-8355

Affiliations:
  • Hong Kong University of Science and Technology, iSING Lab, Hong Kong
  • Zhengzhou Aiwen Computer Technology Co., Ltd., China (former)


According to our database1, Yong Wang authored at least 17 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2025
Swift: Rethinking RDMA Control Plane for Elastic Computing.
CoRR, January, 2025

FLASH-FHE: A Heterogeneous Architecture for Fully Homomorphic Encryption Acceleration.
CoRR, January, 2025

Mapping the unseen: Robust IP geolocation through the lens of uncertainty quantification.
Comput. Networks, 2025

Echoes in the Feed: Evolution-aware Prompt-augmented Micro-video Popularity Prediction.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Achieving Fairness Generalizability for Learning-based Congestion Control with Jury.
Proceedings of the Twentieth European Conference on Computer Systems, 2025

2024
Server-Initiated Federated Unlearning to Eliminate Impacts of Low-Quality Data.
IEEE Trans. Serv. Comput., 2024

Self-Explainable Next POI Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Analyzing and Mitigating Repetitions in Trip Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Towards Domain-Specific Network Transport for Distributed DNN Training.
Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

Exploring Self-Explainable Street-Level IP Geolocation with Graph Information Bottleneck.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
RIPGeo: Robust Street-Level IP Geolocation.
Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Identifying IP Usage Scenarios: Problems, Data, and Benchmarks.
IEEE Netw., 2022

Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Spatial self-attention network with self-attention distillation for fine-grained image recognition.
J. Vis. Commun. Image Represent., 2021

Vector-Quantized Autoencoder With Copula for Collaborative Filtering.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021


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