We stand with Ukraine

We stand with Ukraine

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 29 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2026

Decompose to Understand, Fuse to Detect: Frequency-Decoupled Anomaly Detection for Encrypted Network Traffic.

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CoRR, May, 2026

Noise Resistant Encrypted Malicious Traffic Detection Through Kernel-Enhanced Contrastive View Alignment.

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IEEE Trans. Netw., 2026

Invariant learning improves out-of-distribution generalization for IP geolocation.

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Inf. Process. Manag., 2026

Tracing paths, pruning noise: Toward robust IP geolocation via topology-guided shaping and refinement.

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Inf. Process. Manag., 2026

TrafficCL: Contrastive learning on network traffic for accurate, efficient and robust IP cross-regional detection.

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Comput. Networks, 2026

Nip Rumors in the Bud: Retrieval-Guided Topic-Level Adaptation for Test-Time Fake News Video Detection.

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Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

TAMEing Long Contexts in Personalization: Towards Training-Free and State-Aware MLLM Personalized Assistant.

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Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Learn-to-Probe: Achieving Signal Distinguishability in Learning-based Congestion Control.

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Proceedings of the 21st European Conference on Computer Systems, 2026

Shedding the Facades, Connecting the Domains: Detecting Shifting Multimodal Hate Video with Test-Time Adaptation.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Swift: Rethinking RDMA Control Plane for Elastic Computing.

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CoRR, January, 2025

FLASH-FHE: A Heterogeneous Architecture for Fully Homomorphic Encryption Acceleration.

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CoRR, January, 2025

Mapping the unseen: Robust IP geolocation through the lens of uncertainty quantification.

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Comput. Networks, 2025

Echoes in the Feed: Evolution-aware Prompt-augmented Micro-video Popularity Prediction.

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Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

REDEEMing Modality Information Loss: Retrieval-Guided Conditional Generation for Severely Modality Missing Learning.

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Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Generative Thinking, Corrective Action: User-Friendly Composed Image Retrieval via Automatic Multi-Agent Collaboration.

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Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

PINGeo: Towards Robust IP Geolocation with Adaptive Graph Pruning.

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Proceedings of the 2025 IEEE Global Communications Conference, 2025

Achieving Fairness Generalizability for Learning-based Congestion Control with Jury.

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Proceedings of the Twentieth European Conference on Computer Systems, 2025

2024

Server-Initiated Federated Unlearning to Eliminate Impacts of Low-Quality Data.

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IEEE Trans. Serv. Comput., 2024

Self-Explainable Next POI Recommendation.

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Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Analyzing and Mitigating Repetitions in Trip Recommendation.

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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.

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Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

Exploring Self-Explainable Street-Level IP Geolocation with Graph Information Bottleneck.

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Proceedings of the IEEE International Conference on Acoustics, 2024

2023

RIPGeo: Robust Street-Level IP Geolocation.

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Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation.

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Goce Trajcevski

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Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Identifying IP Usage Scenarios: Problems, Data, and Benchmarks.

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Goce Trajcevski

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IEEE Netw., 2022

Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks.

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Goce Trajcevski

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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).

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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.

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Adu Asare Baffour

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Kim-Kwang Raymond Choo

J. Vis. Commun. Image Represent., 2021

Vector-Quantized Autoencoder With Copula for Collaborative Filtering.

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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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