Yong Liao

According to our database, Yong Liao authored at least 62 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Near-Optimal Category Information Sampling in RFID Systems.

Xiujun Wang, Zhi Liu, Xiaokang Zhou, Yong Liao, Han Hu, Xiao Zheng, Jie Li

IEEE Trans. Mob. Comput., September, 2025

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

Haoran Li, Yuli Tian, Kun Lan, Yong Liao, Lin Wang, Pan Hui, Peng Yuan Zhou

CoRR, July, 2025

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

Zhen Chen, Yong Liao, Youpeng Zhao, Zipeng Dai, Jian Zhao

IEEE Trans. Games, June, 2025

Certainly Bot Or Not? Trustworthy Social Bot Detection via Robust Multi-Modal Neural Processes.

Qi Wu, Yingguang Yang, Hao Liu, Hao Peng, Buyun He, Yutong Xia, Yong Liao

CoRR, March, 2025

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

Siqing Zhang, Yuchen Ding, Wei Tang, Wei Sun, Yong Liao, Peng Yuan Zhou

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

HRSTORY: Historical News Review Based Online Story Discovery.

Renjie Zhou, Haoran Ye, Jian Wan, Yong Liao

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.

Buyun He, Xiaorui Jiang, Qi Wu, Hao Liu, Yingguang Yang, Yong Liao

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

Detecting AI-Generated Video via Frame Consistency.

Long Ma, Zhiyuan Yan, Qinglang Guo, Yong Liao, Haiyang Yu, Pengyuan Zhou

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

Knowledge Rumination for Client Utility Evaluation in Heterogeneous Federated Learning.

Xiaorui Jiang, Yu Gao, Hengwei Xu, Qi Zhang, Yong Liao, Peng Yuan Zhou

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

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

Yulin Fu, Xiaorui Jiang, Yong Liao

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Deepfake in the Metaverse: An Outlook Survey.

Haojie Wu, Yong Liao, Reza Hadi Mogavi, Pan Hui, Peng Yuan Zhou

Proceedings of the HCI in Games, 2025

2024

Enhanced 3D Generation by 2D Editing.

Haoran Li, Yuli Tian, Yong Liao, Lin Wang, Yuyang Wang, Peng Yuan Zhou

CoRR, 2024

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

Zhen Chen, Yong Liao, Youpeng Zhao, Zipeng Dai, Jian Zhao

CoRR, 2024

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

Wei Tang, Yixin Cao, Jiahao Ying, Bo Wang, Yuyue Zhao, Yong Liao, Pengyuan Zhou

CoRR, 2024

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

Buyun He, Yingguang Yang, Qi Wu, Hao Liu, Renyu Yang, Hao Peng, Xiang Wang, Yong Liao, Pengyuan Zhou

CoRR, 2024

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

Qinglong Huang, Yong Liao, Yanbin Hao, Pengyuan Zhou

CoRR, 2024

Gamified Alzheimer's Disease Diagnosis via Virtual Reality.

Botao Xiong, Nan Li, Yong Liao, Pengyuan Zhou

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.

Yonglin Wu, Haiyong Xie, Yong Liao

Proceedings of the IEEE Vehicular Networking Conference, 2024

Reinforcement Learning for Patient Scheduling with Combinatorial Optimisation.

Xi Liu, Changgang Zheng, Zhen Chen, Yong Liao, Ren Chen, Shufan Yang

Proceedings of the Artificial Intelligence XLI, 2024

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

Yuchen Ding, Siqing Zhang, Boyu Fan, Wei Sun, Yong Liao, Peng Yuan Zhou

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

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

Xiaorui Jiang, Zhongyi Ma, Yulin Fu, Yong Liao, Pengyuan Zhou

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.

Yingguang Yang, Qi Wu, Buyun He, Hao Peng, Renyu Yang, Zhifeng Hao, Yong Liao

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.

Hao Liu, Yingguang Yang, Qi Wu, Buyun He, Yong Liao, Pengyuan Zhou

Proceedings of the International Joint Conference on Neural Networks, 2024

Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers.

Buyun He, Yingguang Yang, Qi Wu, Hao Liu, Renyu Yang, Hao Peng, Xiang Wang, Yong Liao, Pengyuan Zhou

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

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

Qi Wu, Yingguang Yang, Buyun He, Hao Liu, Renyu Yang, Yong Liao

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

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

Mengzhuo Guo, Xiaorui Jiang, Yong Liao

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

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

Qinglong Huang, Haoran Li, Yong Liao, Yanbin Hao, Pengyuan Zhou

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.

Haoran Li, Haolin Shi, Wenli Zhang, Wenjun Wu, Yong Liao, Lin Wang, Lik-Hang Lee, Peng Yuan Zhou

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Haoran Li, Long Ma, Haolin Shi, Yanbin Hao, Yong Liao, Lechao Cheng, Peng Yuan Zhou

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Wei Tang, Yixin Cao, Jiahao Ying, Bo Wang, Yuyue Zhao, Yong Liao, Peng Zhou

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

2023

2D-Guided 3D Gaussian Segmentation.

Kun Lan, Haoran Li, Haolin Shi, Wenjun Wu, Yong Liao, Lin Wang, Pengyuan Zhou

CoRR, 2023

FedMKGC: Privacy-Preserving Federated Multilingual Knowledge Graph Completion.

Wei Tang, Zhiqian Wu, Yixin Cao, Yong Liao, Pengyuan Zhou

CoRR, 2023

Take History as a Mirror in Heterogeneous Federated Learning.

Xiaorui Jiang, Hengwei Xu, Yu Gao, Yong Liao, Pengyuan Zhou

CoRR, 2023

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

Rui Jin, Yong Liao, Pengyuan Zhou

CoRR, 2023

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

Siqing Zhang, Yong Liao, Pengyuan Zhou

CoRR, 2023

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

Siqing Zhang, Yong Liao, Pengyuan Zhou

CoRR, 2023

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

Haoran Li, Long Ma, Yong Liao, Lechao Cheng, Yanbin Hao, Pengyuan Zhou

CoRR, 2023

Detect Depression from Social Networks with Sentiment Knowledge Sharing.

Yan Shi, Yao Tian, Chengwei Tong, Chunyan Zhu, Qianqian Li, Mengzhu Zhang, Wei Zhao, Yong Liao, Pengyuan Zhou

CoRR, 2023

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

Rui Jin, Lin Huang, Jikang Duan, Wei Zhao, Yong Liao, Pengyuan Zhou

CoRR, 2023

Heterophily-aware Social Bot Detection with Supervised Contrastive Learning.

Qi Wu, Yingguang Yang, Buyun He, Hao Liu, Xiang Wang, Yong Liao, Renyu Yang, Pengyuan Zhou

CoRR, 2023

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

Yao Tian, Chengwei Tong, Lik-Hang Lee, Reza Hadi Mogavi, Yong Liao, Pengyuan Zhou

CoRR, 2023

Spatiotemporal and Semantic Zero-inflated Urban Anomaly Prediction.

Yao Lu, Pengyuan Zhou, Yong Liao, Haiyong Xie

CoRR, 2023

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

Haoran Li, Pengyuan Zhou, Yihang Lin, Yanbin Hao, Haiyong Xie, Yong Liao

CoRR, 2023

Mitigating Backdoors in Federated Learning with FLD.

Yihang Lin, Pengyuan Zhou, Zhiqian Wu, Yong Liao

CoRR, 2023

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

Yingguang Yang, Renyu Yang, Hao Peng, Yangyang Li, Tong Li, Yong Liao, Pengyuan Zhou

Proceedings of the ACM Web Conference 2023, 2023

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

Xi Liu, Long Ma, Zhen Chen, Changgang Zheng, Ren Chen, Yong Liao, Shufan Yang

Proceedings of the Artificial Intelligence XL, 2023

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

Hengwei Xu, Pengyuan Zhou, Haiyong Xie, Yong Liao

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

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

Bingbing Chen, Yong Liao

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.

Qinglang Guo, Xiaolu Chen, Pengyuan Zhou, Yong Liao

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

Hierarchical Privacy-Preserved Knowledge Graph.

Xiaolu Chen, Jie Bao, Pengyuan Zhou, Yong Liao

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

Training ChatGPT-like Models with In-network Computation.

Shuhao Fu, Yong Liao, Pengyuan Zhou

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

2022

Celeritas: Fast Optimizer for Large Dataflow Graphs.

Hengwei Xu, Yong Liao, Haiyong Xie, Pengyuan Zhou

CoRR, 2022

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

Pengyuan Zhou, Benjamin Finley, Lik-Hang Lee, Yong Liao, Haiyong Xie, Pan Hui

CoRR, 2022

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

Yao Lu, Yong Liao

Proceedings of the 4th International Conference on Robotics, 2022

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

Mingjie Sun, Pengyuan Zhou, Hui Tian, Yong Liao, Haiyong Xie

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

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

Renjie Zhou, Zhongyi Xie, Jian Wan, Jilin Zhang, Yong Liao, Qiang Liu

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

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

Wei Tang, Benfeng Xu, Yuyue Zhao, Zhendong Mao, Yifeng Liu, Yong Liao, Haiyong Xie

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

2019

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

Bo Lyu, Yanhua Li, Jie Fu, Andrew C. Trapp, Haiyong Xie, Yong Liao

IEEE Trans. Big Data, 2019

2018

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

Jun Shi, Bo Lv, Yangyang Li, Yue Jia, Rui Wang, Yong Liao

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

2017

Calantha: Content distribution across geo-distributed datacenters.

Yangyang Li, Linchao Zhang, Yue Jia, Yong Liao, Haiyong Xie

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

2016

Blossom: Content Distribution Using Inter-Datacenter Networks.

Yangyang Li, Haiyong Xie, Yong Liao

Proceedings of the 2016 IEEE Global Communications Conference, 2016

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

Bo Lyu, Shijian Li, Yanhua Li, Jie Fu, Andrew C. Trapp, Haiyong Xie, Yong Liao

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