We stand with Ukraine

We stand with Ukraine

Yong Liao

Orcid: 0000-0001-6403-0557

Affiliations:

University of Science and Technology of China, Hefei, China

According to our database¹, Yong Liao authored at least 78 papers between 2016 and 2026.

Collaborative distances:

Dijkstra number² of four.
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

Your One-Stop Solution for AI-Generated Video Detection.

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CoRR, January, 2026

DiSCo: Disrupting Semantic Consistency for Transferable Cross-Modal Adversarial Attacks.

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Proceedings of the MultiMedia Modeling, 2026

Structure-Induced Safety Gaps in Multimodal Reasoning Systems.

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Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

Mitigating Semantic Bias in Multilingual Visual Document Retrieval via Language-Vision-Aware Late Interaction.

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Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

Region-Aware Deformable Gaussian Splatting for Audio-Driven Talking Head Synthesis.

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Proceedings of the 2026 International Conference on Communication Networks and Machine Learning (CNML), Chongqing, China, January 30, 2026

2025

Caption Injection for Optimization in Generative Search Engine.

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CoRR, November, 2025

A Near-Optimal Category Information Sampling in RFID Systems.

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IEEE Trans. Mob. Comput., September, 2025

DreamScene: 3D Gaussian-based End-to-end Text-to-3D Scene Generation.

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CoRR, July, 2025

CuDA2: An Approach for Incorporating Traitor Agents Into Cooperative Multiagent Systems.

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IEEE Trans. Games, June, 2025

Simulating Advanced Social Botnets: A Framework for Behavior Realism and Coordinated Stealth.

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Inf., 2025

Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation.

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Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Jailbreaking Multimodal Large Language Models via Consistent Cross-Modal Backgrounds.

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Proceedings of the 24th IEEE International Conference on Trust, 2025

Do the Instruction-Fine-Tuned Large Language Models Challenge Flawed Instructions? A Study on Over-Compliance and Hallucinations.

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Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

Federated Deep Incomplete Multi-View Clustering with Heterogeneity-Matching and Attention-Based Imputation.

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Proceedings of the 7th ACM International Conference on Multimedia in Asia, 2025

Fusion-Augmented Deep Multi-view Clustering via Contrastive View Expansion.

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Proceedings of the 7th ACM International Conference on Multimedia in Asia, 2025

HRSTORY: Historical News Review Based Online Story Discovery.

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Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Boosting Bot Detection via Heterophily-Aware Representation Learning and Prototype-Guided Cluster Discovery.

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

$\lambda$-SecAgg: Partial Vector Freezing for Lightweight Secure Aggregation in Federated Learning.

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Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

Detecting AI-Generated Video via Frame Consistency.

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Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Knowledge Rumination for Client Utility Evaluation in Heterogeneous Federated Learning.

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Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

D4MVC: Differentiated Dual-Supervised Deep Distributed Multi-view Clustering.

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Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

A Unified Framework to BRIDGE Complete and Incomplete Deep Multi-View Clustering Under Non-IID Missing Patterns.

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Deepfake in the Metaverse: An Outlook Survey.

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Reza Hadi Mogavi

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Proceedings of the HCI in Games, 2025

Research on Low-Cost Persona Construction Based on Prompt Fine-Tuning of Low-to-High Parameter Large Models and Machine Learning.

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Proceedings of the 2025 9th International Conference on Computer Science and Artificial Intelligence, 2025

EvoWiki: Evaluating LLMs on Evolving Knowledge.

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Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Enhanced 3D Generation by 2D Editing.

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CoRR, 2024

CuDA2: An approach for Incorporating Traitor Agents into Cooperative Multi-Agent Systems.

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CoRR, 2024

A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential.

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CoRR, 2024

BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers.

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CoRR, 2024

DeCoF: Generated Video Detection via Frame Consistency.

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CoRR, 2024

Noise-NeRF: Hide Information in Neural Radiance Fields using Trainable Noise.

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CoRR, 2024

Gamified Alzheimer's Disease Diagnosis via Virtual Reality.

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Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2024

SANE: An Integrated Systematic Framework for Automotive In-Vehicle Network Emulation.

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Proceedings of the IEEE Vehicular Networking Conference, 2024

Reinforcement Learning for Patient Scheduling with Combinatorial Optimisation.

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Changgang Zheng

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Proceedings of the Artificial Intelligence XLI, 2024

FedLoCA: Low-Rank Coordinated Adaptation with Knowledge Decoupling for Federated Recommendations.

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Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Heterogeneity-Aware Federated Deep Multi-View Clustering towards Diverse Feature Representations.

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Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

SEBot: Structural Entropy Guided Multi-View Contrastive learning for Social Bot Detection.

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Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FacGNN: Multi-faceted Fairness Enhancement for GNN through Adversarial and Contrastive Learning.

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Proceedings of the International Joint Conference on Neural Networks, 2024

Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers.

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Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

BotSCL: Heterophily-Aware Social Bot Detection with Supervised Contrastive Learning.

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Proceedings of the Pattern Recognition - 27th International Conference, 2024

Improving Zero-Shot Stance Detection by Infusing Knowledge from Large Language Models.

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Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Noise-NeRF: Hide Information in Neural Radiance Field Using Trainable Noise.

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Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

DreamScene: 3D Gaussian-Based Text-to-3D Scene Generation via Formation Pattern Sampling.

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Proceedings of the Computer Vision - ECCV 2024, 2024

3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing.

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Proceedings of the Computer Vision - ECCV 2024, 2024

ADViRDS: Assessment of Domestic Violence Risk Dataset and Scale on Social Media.

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Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential.

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Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

2D-Guided 3D Gaussian Segmentation.

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CoRR, 2023

FedMKGC: Privacy-Preserving Federated Multilingual Knowledge Graph Completion.

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CoRR, 2023

Take History as a Mirror in Heterogeneous Federated Learning.

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CoRR, 2023

User Authentication and Identity Inconsistency Detection via Mouse-trajectory Similarity Measurement.

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CoRR, 2023

AHSecAgg and TSKG: Lightweight Secure Aggregation for Federated Learning Without Compromise.

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CoRR, 2023

Towards Efficient Secure Aggregation in FL: Partial Vector Freezing for Cost Compression.

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CoRR, 2023

3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing.

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CoRR, 2023

Detect Depression from Social Networks with Sentiment Knowledge Sharing.

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CoRR, 2023

How Secure is Your Website? A Comprehensive Investigation on CAPTCHA Providers and Solving Services.

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CoRR, 2023

Heterophily-aware Social Bot Detection with Supervised Contrastive Learning.

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CoRR, 2023

Last Week with ChatGPT: A Weibo Study on Social Perspective regarding ChatGPT for Education and Beyond.

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Reza Hadi Mogavi

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CoRR, 2023

Spatiotemporal and Semantic Zero-inflated Urban Anomaly Prediction.

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CoRR, 2023

TKN: Transformer-based Keypoint Prediction Network For Real-time Video Prediction.

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CoRR, 2023

Mitigating Backdoors in Federated Learning with FLD.

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CoRR, 2023

FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection.

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Proceedings of the ACM Web Conference 2023, 2023

A Novel State Space Exploration Method for the Sparse-Reward Reinforcement Learning Environment.

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Changgang Zheng

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Proceedings of the Artificial Intelligence XL, 2023

Mercury: Fast and Optimal Device Placement for Large Deep Learning Models.

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Proceedings of the 52nd International Conference on Parallel Processing, 2023

Spatio-Temporal Deep Fusion Graph Convolutional Networks for Crime Prediction.

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Proceedings of the 2023 7th International Conference on Machine Learning and Soft Computing, 2023

Cross-Domain Data Extraction and Knowledge Graph Construction for Dispute Analysis.

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Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Hierarchical Privacy-Preserved Knowledge Graph.

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Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Training ChatGPT-like Models with In-network Computation.

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Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023

2022

Celeritas: Fast Optimizer for Large Dataflow Graphs.

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CoRR, 2022

Towards User-Centered Metrics for Trustworthy AI in Immersive Cyberspace.

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Benjamin Finley

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CoRR, 2022

STS: A Novel Deep Learning Method for Zero-inflated Crime Prediction.

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Proceedings of the 4th International Conference on Robotics, 2022

Spatial-Temporal Attention Network for Crime Prediction with Adaptive Graph Learning.

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Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Attention and Edge-Label Guided Graph Convolutional Networks for Named Entity Recognition.

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Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction.

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Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2019

Scalable User-Substation Assignment with Big Data from Power Grids.

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Andrew C. Trapp

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IEEE Trans. Big Data, 2019

2018

A New Wavelet Thresholding Method Based on Cyclostationarity for Enhancing the Interception of Computer Video Leakage Signals.

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Proceedings of the 17th IEEE International Conference On Trust, 2018

2017

Calantha: Content distribution across geo-distributed datacenters.

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Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017

2016

Blossom: Content Distribution Using Inter-Datacenter Networks.

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Proceedings of the 2016 IEEE Global Communications Conference, 2016

Scalable user assignment in power grids: a data driven approach.

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Andrew C. Trapp

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Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

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