Hongyi Liu
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
- Hongyi Liu 001 (Nanjing University of Science and Technology, Nanjing, China)
- Hongyi Liu 002 (Peking University, School of Software and Microelectronics, Beijing, China)
- Hongyi Liu 003 (Wuhan University, China)
- Hongyi Liu 004 (Amazon, Alexa Team, USA)
- Hongyi Liu 005 (Northeastern University, School of Mechanical Engineering and Automation, Shenyang, China)
- Hongyi Liu 006 (KTH Royal Institute of Technology, Department of Production Engineering, Stockholm, Sweden)
- Hongyi Liu 007 (Shanghai Jiao Tong University, Department of Micro/Nano Electronics, China)
- Hongyi Liu 008 (Shanghai Jiao Tong University, China)
Bibliography
2026
SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution.
CoRR, May, 2026
Towards Robust LLM Post-Training: Automatic Failure Management for Reinforcement Fine-Tuning.
CoRR, May, 2026
IEEE Trans. Ind. Electron., March, 2026
Jackpot: Optimal Budgeted Rejection Sampling for Extreme Actor-Policy Mismatch Reinforcement Learning.
CoRR, February, 2026
Distilling the Thought, Watermarking the Answer: A Principle Semantic Guided Watermark for Large Reasoning Models.
CoRR, January, 2026
UDA-RCL: Unsupervised Domain Adaptation for Microservice Root Cause Localization Utilizing Multimodal Data.
IEEE Trans. Serv. Comput., 2026
BCADS: Blockchain-Assisted Cross-Domain Authentication With Decentralized Identity for VANETs Under Strict Oversight.
IEEE Trans. Dependable Secur. Comput., 2026
IEEE Trans. Dependable Secur. Comput., 2026
A semantic-aware GNN malicious node detection framework via training-bias timing-sequence modeling over centralized federated learning.
Inf. Sci., 2026
Explainable AI-guided test-time adversarial defense for resilient YOLO detectors in Industrial Internet of Things.
Future Gener. Comput. Syst., 2026
Interpretable train-level entry flow prediction using GMM-based features and ensemble learning.
Appl. Soft Comput., 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
PEGS: Physics-Event Enhanced Large Spatiotemporal Motion Reconstruction via 3D Gaussian Splatting.
CoRR, November, 2025
CoRR, October, 2025
CoRR, October, 2025
A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models.
CoRR, July, 2025
CoRR, May, 2025
CoRR, April, 2025
CoRR, March, 2025
GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?
CoRR, February, 2025
CoRR, February, 2025
IEEE Trans. Serv. Comput., 2025
Towards Close-to-Zero Runtime Collection Overhead: Raft-Based Anomaly Diagnosis on System Faults for Distributed Storage System.
IEEE Trans. Serv. Comput., 2025
Trans. Mach. Learn. Res., 2025
Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
ODE: Decision-based Black-box Adversarial Attack through Orthogonal Distribution Evolution.
Proceedings of the International Joint Conference on Neural Networks, 2025
Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration.
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025
ORA: Job Runtime Prediction for High-Performance Computing Platforms Using the Online Retrieval-Augmented Language Model.
Proceedings of the 39th ACM International Conference on Supercomputing, 2025
GSM-∞: How Do your LLMs Behave over Infinitely Increasing Reasoning Complexity and Context Length?
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Proxsparse: Regularized Learning of Semi-Structured Sparsity masks for Pretrained LLMS.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
AAAD: Asynchronous Inter-Variable Relationship-Aware Anomaly Detection for Multivariate Time Series.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
IEEE Trans. Smart Grid, July, 2024
UAC-AD: Unsupervised Adversarial Contrastive Learning for Anomaly Detection on Multi-Modal Data in Microservice Systems.
IEEE Trans. Serv. Comput., 2024
Safe and Robust Motion Planning for Autonomous Navigation of Quadruped Robots in Cluttered Environments.
IEEE Access, 2024
OCRCL: Online Contrastive Learning for Root Cause Localization of Business Incidents.
Proceedings of the IEEE International Conference on Software Analysis, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
2023
Efficient Exploration of Chemical Compound Space Using Active Learning for Prediction of Thermodynamic Properties of Alkane Molecules.
J. Chem. Inf. Model., November, 2023
VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence.
CoRR, 2023
Distributed Computing Optimization in Unmanned Aerial Vehicle Swarm Cooperative Networks.
J. Comput. Inf. Technol., 2023
Proceedings of the IEEE International Conference on Software Analysis, 2023
Proceedings of the 32nd USENIX Security Symposium, 2023
"\"De-Familiarization\" And Disclosure Quality Based On Big Data Analysis And Application".
Proceedings of the 2023 6th International Conference on Information Management and Management Science, 2023
Proceedings of the 22nd ACM Workshop on Hot Topics in Networks, 2023
Proceedings of the 4th Crowd Science Workshop on Collaboration of Humans and Learning Algorithms for Data Labeling co-located with ACM International WSDM Conference (WSDM 2023), 2023
2022
Optimal Sizing Considering Power Uncertainty and Power Supply Reliability Based on LSTM and MOPSO for SWPBMs.
IEEE Syst. J., 2022
Structural characteristics analysis and cascading failure impact analysis of urban rail transit network: From the perspective of multi-layer network.
Reliab. Eng. Syst. Saf., 2022
Efficient Chemical Space Exploration Using Active Learning Based on Marginalized Graph Kernel: an Application for Predicting the Thermodynamic Properties of Alkanes with Molecular Simulation.
CoRR, 2022
Proceedings of the 31st USENIX Security Symposium, 2022
CMB AI Lab at SemEval-2022 Task 11: A Two-Stage Approach for Complex Named Entity Recognition via Span Boundary Detection and Span Classification.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022
Proceedings of the CCKS 2022 - Evaluation Track, 2022
2021
IEEE Trans. Intell. Transp. Syst., 2021
Defense resource allocation in road dangerous goods transportation network: A Self-Contained Girvan-Newman Algorithm and Mean Variance Model combined approach.
Reliab. Eng. Syst. Saf., 2021
Railway dangerous goods transportation system risk identification: Comparisons among SVM, PSO-SVM, GA-SVM and GS-SVM.
Appl. Soft Comput., 2021
Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021
Proceedings of the WiP Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation - Work-in-Progress Papers (IPIN-WiP 2021) co-located with 11th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2021), Lloret de Mar, Spain, 29 November, 2021
Proceedings of the HotOS '21: Workshop on Hot Topics in Operating Systems, 2021
Proceedings of the HotNets '21: The 20th ACM Workshop on Hot Topics in Networks, 2021
Multi-label Fine-Grained Entity Typing for Baidu Wikipedia Based on Pre-trained Model.
Proceedings of the CCKS 2021 - Evaluation Track, 2021
2019
Path and Speed Planning Online Platform for Energy-Efficient Timely Truck Transportation.
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019
Proceedings of the Image and Graphics - 10th International Conference, 2019
Proceedings of the 2019 International Conference on Computer, 2019
2018
A Stacked Sparse Autoencoder-Based Detector for Automatic Identification of Neuromagnetic High Frequency Oscillations in Epilepsy.
IEEE Trans. Medical Imaging, 2018
Automatic Lateralization of Temporal Lobe Epilepsy Based on MEG Network Features Using Support Vector Machines.
Complex., 2018
2016
Altered brain anatomical networks and disturbed connection density in brain tumor patients revealed by diffusion tensor tractography.
Int. J. Comput. Assist. Radiol. Surg., 2016
2014
Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2014
2008
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
1997
J. Field Robotics, 1997
1991
Proceedings of the 1991 International Conference on Acoustics, 1991
Proceedings of the 1991 International Conference on Acoustics, 1991