Kaixiang Yang

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:

Bibliography

2026
LoopVLA: Learning Sufficiency in Recurrent Refinement for Vision-Language-Action Models.
CoRR, May, 2026

Recent advances in vibration condition-based fault diagnosis of rotating machinery.
J. Control. Decis., January, 2026

2025
A Problem-Oriented Taxonomy of Evaluation Metrics for Time Series Anomaly Detection.
CoRR, November, 2025

ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection.
CoRR, September, 2025

MVQA-68K: A Multi-dimensional and Causally-annotated Dataset with Quality Interpretability for Video Assessment.
CoRR, September, 2025

AdaFusion: Prompt-Guided Inference with Adaptive Fusion of Pathology Foundation Models.
CoRR, August, 2025

DHR-BLS: A Huber-type robust broad learning system with its distributed version.
Knowl. Based Syst., 2025

Intermediate features matter in prototype-guided personalized federated learning.
Inf. Fusion, 2025

FSI-Edit: Frequency and Stochasticity Injection for Flexible Diffusion-Based Image Editing.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

CoStoDet-DDPM: Collaborative Training of Stochastic and Deterministic Models Improves Surgical Workflow Anticipation and Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Data-Centric Evolution in Autonomous Driving: A Comprehensive Survey of Big Data System, Data Mining, and Closed-Loop Technologies.
CoRR, 2024

Vision-Assisted Cross-Modal Haptic Data Compression for Immersive Communication.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

2023
An efficient indexing technique for billion-scale nearest neighbor search.
Multim. Tools Appl., 2023

Leveraging Attribute Knowledge for Open-set Action Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Long-Distance Pipeline Intrusion Warning Based on Environment Embedding from Distributed Optical Fiber Sensing.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022
Adaptive Fusion Based Method for Imbalanced Data Classification.
Frontiers Neurorobotics, 2022

Few-Shot Learning with Improved Local Representations via Bias Rectify Module.
Proceedings of the IEEE International Conference on Acoustics, 2022

Exploring Industrial Evolution with Correlation Analysis and Smoothing Forecasting: A Case of Marine Industry in Guangdong Province of South China.
Proceedings of the IC4E 2022: 13th International Conference on E-Education, E-Business, E-Management, and E-Learning, Tokyo, Japan, January 14, 2022

2021
Tao: A Learning Framework for Adaptive Nearest Neighbor Search using Static Features Only.
CoRR, 2021

Hierarchical Link and Code: Efficient Similarity Search for Billion-Scale Image Sets.
Proceedings of the 29th Pacific Conference on Computer Graphics and Applications, 2021

Approximate Nearest Neighbor Search Using Query-Directed Dense Graph.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2021 International Workshops, 2021

2020
A Note on Graph-Based Nearest Neighbor Search.
CoRR, 2020

2019
Triplet Deep Hashing with Joint Supervised Loss for Fast Image Retrieval.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019


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