Search Results for author: Yuanyuan Xu

Found 18 papers, 4 papers with code

BASIC: Semi-supervised Multi-organ Segmentation with Balanced Subclass Regularization and Semantic-conflict Penalty

no code implementations7 Jan 2025 Zhenghao Feng, Lu Wen, Yuanyuan Xu, Binyu Yan, Xi Wu, Jiliu Zhou, Yan Wang

Additionally, based on a mean teacher framework, we elaborately design a balanced subclass regularization to utilize the teacher predictions of SCS task to supervise the student predictions of MoS task, thus effectively transferring unbiased knowledge to the MoS subnetwork and alleviating the influence of the class-imbalance problem.

Multi-Task Learning Organ Segmentation

Post-hoc Interpretability Illumination for Scientific Interaction Discovery

no code implementations20 Dec 2024 Ling Zhang, Zhichao Hou, Tingxiang Ji, Yuanyuan Xu, Runze Li

Model interpretability and explainability have garnered substantial attention in recent years, particularly in decision-making applications.

Decision Making scientific discovery

S3PET: Semi-supervised Standard-dose PET Image Reconstruction via Dose-aware Token Swap

no code implementations30 Jul 2024 Jiaqi Cui, Pinxian Zeng, Yuanyuan Xu, Xi Wu, Jiliu Zhou, Yan Wang

Our S3PET involves an un-supervised pre-training stage (Stage I) to extract representations from unpaired images, and a supervised dose-aware reconstruction stage (Stage II) to achieve LPET-to-SPET reconstruction by transferring the dose-specific knowledge between paired images.

Image Reconstruction

Adaptive Prompt Learning with Negative Textual Semantics and Uncertainty Modeling for Universal Multi-Source Domain Adaptation

no code implementations23 Apr 2024 Yuxiang Yang, Lu Wen, Yuanyuan Xu, Jiliu Zhou, Yan Wang

Universal Multi-source Domain Adaptation (UniMDA) transfers knowledge from multiple labeled source domains to an unlabeled target domain under domain shifts (different data distribution) and class shifts (unknown target classes).

Domain Adaptation

Two-Phase Multi-Dose-Level PET Image Reconstruction with Dose Level Awareness

no code implementations2 Apr 2024 Yuchen Fei, Yanmei Luo, Yan Wang, Jiaqi Cui, Yuanyuan Xu, Jiliu Zhou, Dinggang Shen

In this paper, to reconstruct high-quality SPET images from multi-dose-level LPET images, we design a novel two-phase multi-dose-level PET reconstruction algorithm with dose level awareness, containing a pre-training phase and a SPET prediction phase.

Image Reconstruction Prediction

LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

1 code implementation21 Feb 2024 Yiran Ding, Li Lyna Zhang, Chengruidong Zhang, Yuanyuan Xu, Ning Shang, Jiahang Xu, Fan Yang, Mao Yang

This is achieved by three key innovations: (i) we identify and exploit two forms of non-uniformities in positional interpolation through an efficient search, providing a better initialization for fine-tuning and enabling an 8x extension in non-fine-tuning scenarios; (ii) we introduce a progressive extension strategy that first fine-tunes a 256k length LLM and then conducts a second positional interpolation on the fine-tuned extended LLM to achieve a 2048k context window; (iii) we readjust LongRoPE on 8k length to recover the short context window performance.

8k

Triplet-constraint Transformer with Multi-scale Refinement for Dose Prediction in Radiotherapy

no code implementations7 Feb 2024 Lu Wen, Qihun Zhang, Zhenghao Feng, Yuanyuan Xu, Xiao Chen, Jiliu Zhou, Yan Wang

Radiotherapy is a primary treatment for cancers with the aim of applying sufficient radiation dose to the planning target volume (PTV) while minimizing dose hazards to the organs at risk (OARs).

Triplet

RimiRec: Modeling Refined Multi-interest in Hierarchical Structure for Recommendation

no code implementations2 Feb 2024 Haolei Pei, Yuanyuan Xu, Yangping Zhu, Yuan Nie

Industrial recommender systems usually consist of the retrieval stage and the ranking stage, to handle the billion-scale of users and items.

Recommendation Systems Retrieval

Diffusion-based Radiotherapy Dose Prediction Guided by Inter-slice Aware Structure Encoding

no code implementations6 Nov 2023 Zhenghao Feng, Lu Wen, Jianghong Xiao, Yuanyuan Xu, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang

In the forward process, DiffDose transforms dose distribution maps into pure Gaussian noise by gradually adding small noise and a noise predictor is simultaneously trained to estimate the noise added at each timestep.

Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge Graphs

no code implementations17 Jun 2023 Yuhan Wu, Yuanyuan Xu, Wenjie Zhang, Xiwei Xu, Ying Zhang

Research along this line suggests that using multi-modal distribution to represent answer entities is more suitable than uni-modal distribution, as a single query may contain multiple disjoint answer subsets due to the compositional nature of multi-hop queries and the varying latent semantics of relations.

Knowledge Graphs

CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenario

1 code implementation2 May 2023 Jingcai Guo, Song Guo, Shiheng Ma, Yuxia Sun, Yuanyuan Xu

Previous works usually assume the malware families are known to the classifier in a close-set scenario, i. e., testing families are the subset or at most identical to training families.

Open Set Learning

MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition

no code implementations2 May 2023 Jingcai Guo, Yuanyuan Xu, Wenchao Xu, Yufeng Zhan, Yuxia Sun, Song Guo

Malware open-set recognition (MOSR) aims at jointly classifying malware samples from known families and detect the ones from novel unknown families, respectively.

Open Set Learning

Towards Unbiased Multi-label Zero-Shot Learning with Pyramid and Semantic Attention

no code implementations7 Mar 2022 Ziming Liu, Song Guo, Jingcai Guo, Yuanyuan Xu, Fushuo Huo

We argue that disregarding the connection between major and minor classes, i. e., correspond to the global and local information, respectively, is the cause of the problem.

Multi-label zero-shot learning

Identifying critical nodes in complex networks by graph representation learning

no code implementations20 Jan 2022 Enyu Yu, DuanBing Chen, Yan Fu, Yuanyuan Xu

Because of its wide application, critical nodes identification has become an important research topic at the micro level of network science.

Graph Learning Graph Representation Learning

Convergence rate to the Tracy-Widom laws for the largest eigenvalue of Wigner matrices

no code implementations8 Feb 2021 Kevin Schnelli, Yuanyuan Xu

We show that the fluctuations of the largest eigenvalue of a real symmetric or complex Hermitian Wigner matrix of size $N$ converge to the Tracy--Widom laws at a rate $O(N^{-1/3+\omega})$, as $N$ tends to infinity.

Probability Mathematical Physics Mathematical Physics 15B52, 60B20

CenterFace: Joint Face Detection and Alignment Using Face as Point

9 code implementations9 Nov 2019 Yuanyuan Xu, Wan Yan, Haixin Sun, Genke Yang, Jiliang Luo

Face detection and alignment in unconstrained environment is always deployed on edge devices which have limited memory storage and low computing power.

Face Detection

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