Ting Xiao

Orcid: 0000-0003-3155-7664

Affiliations:
  • East China University of Science and Technology, Shanghai, China


According to our database1, Ting Xiao authored at least 36 papers between 2015 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 csauthors.net:

Bibliography

2026
Bamboo: A Novel Session-Aware Framework With Equiangular Tight Frame Prototypes for Few-Shot Class-Incremental Learning.
IEEE Trans. Neural Networks Learn. Syst., May, 2026

BioProVLA-Agent: An Affordable, Protocol-Driven, Vision-Enhanced VLA-Enabled Embodied Multi-Agent System with Closed-Loop-Capable Reasoning for Biological Laboratory Manipulation.
CoRR, May, 2026

Re<sup>2</sup>MoGen: Open-Vocabulary Motion Generation via LLM Reasoning and Physics-Aware Refinement.
CoRR, April, 2026

MSCFNet: mixed-scale context fusion network for medical image segmentation.
Appl. Intell., April, 2026

Unsupervised Skill Discovery Through Skill Regions Differentiation.
IEEE Trans. Neural Networks Learn. Syst., February, 2026

Improving multi-instance learning with hierarchical attention and frequency-domain hard sample distillation.
Knowl. Based Syst., 2026

2025
KungfuBot2: Learning Versatile Motion Skills for Humanoid Whole-Body Control.
CoRR, September, 2025

Unsupervised Skill Discovery through Skill Regions Differentiation.
CoRR, June, 2025

Learn as Individuals, Evolve as a Team: Multi-agent LLMs Adaptation in Embodied Environments.
CoRR, June, 2025

Online Iterative Self-Alignment for Radiology Report Generation.
CoRR, May, 2025

VSNet: classification of pulmonary nodules in 3D using vision transformer and sequence spatial attention mechanism.
Multim. Tools Appl., April, 2025

Fusion of global and adaptive local information for few-shot image classification.
Pattern Recognit., 2025

Semantic Mask Reconstruction and Category Semantic Learning for few-shot image generation.
Neural Networks, 2025

Low-Rank Representation with Empirical Kernel Space Embedding of Manifolds.
Neural Networks, 2025

HumanoidGen: Data Generation for Bimanual Dexterous Manipulation via LLM Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Dual-Prototype Learning in Multiple Instance Learning for Histopathology Image Classification.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Few-Shot Adaptive Diffusion with Semantic Injection and Parameter Smoothing.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

MMMNet: Multimodal Feature Fusion and Multilevel Representation Merging for Pulmonary Nodule Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Ipvar: Advancing Pathogenicity Prediction Via Hierarchical Fusion of Structure Foundation Models Alphafold 3 and Esm C.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Online Iterative Self-Alignment for Radiology Report Generation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Radiology Report Generation via Multi-objective Preference Optimization.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Monotonic Quantile Network for Worst-Case Offline Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Relationship constraint deep metric learning.
Appl. Intell., April, 2024

Adaptive weighted dictionary representation using anchor graph for subspace clustering.
Pattern Recognit., 2024

Freezing partial source representations matters for image inpainting under limited data.
Eng. Appl. Artif. Intell., 2024

Radiology Report Generation via Multi-objective Preference Optimization.
CoRR, 2024

Constrained Ensemble Exploration for Unsupervised Skill Discovery.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Improving Few-shot Image Generation by Structural Discrimination and Textural Modulation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Semantic-Aware Generator and Low-level Feature Augmentation for Few-shot Image Generation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Robust Structured Sparse Subspace Clustering with Neighborhood Preserving Projection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
Simultaneously Improve Transferability and Discriminability for Adversarial Domain Adaptation.
Entropy, 2022

2020
Domain adaptation based on domain-invariant and class-distinguishable feature learning using multiple adversarial networks.
Neurocomputing, 2020

Importance-weighted conditional adversarial network for unsupervised domain adaptation.
Expert Syst. Appl., 2020

2019
Structure preservation and distribution alignment in discriminative transfer subspace learning.
Neurocomputing, 2019

2018
Iterative landmark selection and subspace alignment for unsupervised domain adaptation.
J. Electronic Imaging, 2018

2015
Radar Model Correction of Asteroid 4179 Toutatis via Optical Images Observed by Chang'E-2 Probe.
Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015


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