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Profil bibliographique

Tong Xiao

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

332Publications signalées
12376Citations signalées
7Affiliations récentes

Les institutions déclarées

Les domaines associés

Natural Language Processing TechniquesTopic ModelingMultimodal Machine Learning ApplicationsSpeech Recognition and SynthesisVideo Surveillance and Tracking Methods

Les publications récentes

Accès ouvert 2026 article OpenAlex

HPA‐Net: a lightweight hierarchical progressive fusion network for cardiac disease detection based on ECG-PCG signals

Tong Xiao, Lufeng Che

Abstract Objective. Cardiovascular disease remains a leading global health threat, creating a strong clinical need for convenient and rapid diagnostic methods. However, current single-modality and conventional fusion methods often fail to adequately utilize the intrinsic bioelectromechanical coupling characteristics of the heart. To …

cn (code pays fourni par la source)

0 citations Biomedical Physics & Engineering Express
Accès ouvert 2026 dataset OpenAlex

Processed dual-channel PCG–ECG window dataset and screening documentation for PhysioNet/CinC 2016 training subset-a

Tong Xiao

This deposit provides a self-contained data package derived from the PhysioNet/CinC 2016 Challenge training subset-a. It includes: 1. Processed dataset (`dataset_2channel_5s.npz`): 3,731 sliding windows from 388 unique records. - Shape: (N, 2, 10000) — channel 0 = PCG, channel 1 = ECG …

cn (code pays fourni par la source)

0 citations Zenodo (CERN European Organization for Nuclear Research)
Accès ouvert 2026 dataset OpenAlex

Processed dual-channel PCG–ECG window dataset and screening documentation for PhysioNet/CinC 2016 training subset-a

Tong Xiao

This deposit provides a self-contained data package derived from the PhysioNet/CinC 2016 Challenge training subset-a. It includes: 1. Processed dataset (`dataset_2channel_5s.npz`): 3,731 sliding windows from 388 unique records. - Shape: (N, 2, 10000) — channel 0 = PCG, channel 1 = ECG …

cn (code pays fourni par la source)

1 citation Zenodo (CERN European Organization for Nuclear Research)
Accès ouvert 2026 dataset OpenAlex

Processed dual-channel PCG–ECG window dataset and screening documentation for PhysioNet/CinC 2016 training subset-a

Tong Xiao

This deposit provides a self-contained data package derived from the PhysioNet/CinC 2016 Challenge training subset-a. It includes: 1. Processed dataset (`dataset_2channel_5s.npz`): 3,731 sliding windows from 388 unique records. - Shape: (N, 2, 10000) — channel 0 = PCG, channel 1 = ECG …

cn (code pays fourni par la source)

0 citations Zenodo (CERN European Organization for Nuclear Research)
Accès ouvert 2026 article OpenAlex

CD44‐Targeting Hydroxyapatite Nanoparticles (HAP) Induce Mitochondrial Dysfunction‐Driven PANoptosis and Immunogenic Cell Death (ICD) via Ca Overload in Colorectal Cancer

Yu-Ying Xiao, Yuxuan Yang, Haosen Qiu, Jia Yang et autres

ABSTRACT Colorectal cancer (CRC) remains therapeutically challenging due to high metastasis, recurrence, and immunotherapy resistance driven by tumor microenvironment‐mediated immune evasion. Immunogenic cell death (ICD) offers a promising strategy to reshape the immune microenvironment, yet existing ICD inducers suffer from poor targeting …

cn (code pays fourni par la source)

1 citation Advanced Science
Accès ouvert 2026 conference-paper OpenAlex

SubQRAG: Sub-Question Driven Dynamic Graph Rag

Jiaoyang Li, Junhao Ruan, S. Q. Tang, Yuan Ge et autres

Graph Retrieval-Augmented Generation (Graph RAG) is effective at building a knowledge graph (KG) to connect disparate facts across a wide document corpus. However, this broad-view approach often lacks the deep structured reasoning required for complex multi-hop question answering (QA), leading to incomplete …

cn (code pays fourni par la source)

0 citations
Accès ouvert 2026 conference-paper OpenAlex

Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models

Chenglong Wang, Yifu Huo, Yang Gan, Yongyu Mu et autres

Previous methods evaluate reward models by testing them on a fixed pairwise ranking test set, but they typically do not provide performance information on each preference dimension. In this work, we address the evaluation challenge of reward models by probing preference representations. …

cn (code pays fourni par la source)

0 citations Proceedings of the AAAI Conference on Artificial Intelligence

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