Xingchen Peng

26 papers Journal 18Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
RS-GCL: Randomized SVD-based graph-enhanced contrastive learning for recommendation.
Expert Syst. Appl.
Jing Sun, Xingchen Peng, Ganghui Li, Fangmei Chen
2025 J jnl
Diffusion-Based Radiotherapy Dose Prediction Guided by Inter-Slice Aware Structure Encoding.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhenghao Feng, Lu Wen, Jianghong Xiao, Yuanyuan Xu, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang
2025 J jnl
FDDM: Frequency-Decomposed Diffusion Model for Dose Prediction in Radiotherapy.
IEEE Signal Process. Lett.
Xin Liao, Zhenghao Feng, Jianghong Xiao, Xingchen Peng, Yan Wang
2025 — conf
Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction.
MICCAI (15)
Zhenghao Feng, Lu Wen, Jiaqi Cui, Xi Wu, Jianghong Xiao, Xingchen Peng, Dinggang Shen, Yan Wang
2024 J jnl
DSANet: Dual-path segmentation-guided attention network for radiotherapy dose prediction from CT images only.
Knowl. Based Syst.
Yuanyuan Xu, Lu Wen, Zhengyang Jiao, Jianghong Xiao, Luping Zhou, Yanmei Luo, Jiliu Zhou, Xingchen Peng, Yan Wang
2024 — conf
Dose Prediction Driven Radiotherapy Parameters Regression via Intra- and Inter-Relation Modeling.
ISBI
Jiaqi Cui, Yuanyuan Xu, Jianghong Xiao, Yuchen Fei, Jiliu Zhou, Xingchen Peng, Yan Wang
2024 J jnl
Dose Prediction Driven Radiotherapy Paramters Regression via Intra- and Inter-Relation Modeling.
CoRR
Jiaqi Cui, Yuanyuan Xu, Jianghong Xiao, Yuchen Fei, Jiliu Zhou, Xingchen Peng, Yan Wang
2024 J jnl
FDDM: Frequency-Decomposed Diffusion Model for Rectum Cancer Dose Prediction in Radiotherapy.
CoRR
Xin Liao, Zhenghao Feng, Jianghong Xiao, Xingchen Peng, Yan Wang
2023 J jnl
A Transformer-Embedded Multi-Task Model for Dose Distribution Prediction.
Int. J. Neural Syst.
Lu Wen, Jianghong Xiao, Shuai Tan, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang
2023 J jnl
Attention-guided graph convolutional network for multi-behavior recommendation.
Knowl. Based Syst.
Xingchen Peng, Jing Sun, Mingshi Yan, Fuming Sun, Fasheng Wang
2023 J jnl
Automatic Head-and-Neck Tumor Segmentation in MRI via an End-to-End Adversarial Network.
Neural Process. Lett.
Pinli Yang, Xingchen Peng, Jianghong Xiao, Xi Wu, Jiliu Zhou, Yan Wang
2023 J jnl
Diffusion-based Radiotherapy Dose Prediction Guided by Inter-slice Aware Structure Encoding.
CoRR
Zhenghao Feng, Lu Wen, Jianghong Xiao, Yuanyuan Xu, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang
2023 J jnl
Multi-level progressive transfer learning for cervical cancer dose prediction.
Pattern Recognit.
Lu Wen, Jianghong Xiao, Jie Zeng, Chen Zu, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang
2023 — conf
Polymerized Feature-Based Domain Adaptation for Cervical Cancer Dose Map Prediction.
ISBI
Jie Zeng, Zeyu Han, Xingchen Peng, Jianghong Xiao, Peng Wang, Yan Wang
2023 J jnl
Polymerized Feature-based Domain Adaptation for Cervical Cancer Dose Map Prediction.
CoRR
Jie Zeng, Zeyu Han, Xingchen Peng, Jianghong Xiao, Peng Wang, Yan Wang
2023 J jnl
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification.
Medical Image Anal.
Zhengyang Jiao, Xingchen Peng, Yan Wang, Jianghong Xiao, Dong Nie, Xi Wu, Xin Wang, Jiliu Zhou, Dinggang Shen
2023 J jnl
Unsupervised Domain Adaptive Dose Prediction via Cross-Attention Transformer and Target-Specific Knowledge Preservation.
Int. J. Neural Syst.
Jiaqi Cui, Jianghong Xiao, Yun Hou, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang
2022 J jnl
Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction.
Knowl. Based Syst.
Huidong Li, Xingchen Peng, Jie Zeng, Jianghong Xiao, Dong Nie, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang
2022 — conf
Mask-Free Radiotherapy Dose Prediction via Multi-Task Learning.
ISBI
Zhengyang Jiao, Xingchen Peng, Jianghong Xiao, Xi Wu, Jiliu Zhou, Yan Wang
2022 J jnl
Multi-constraint generative adversarial network for dose prediction in radiotherapy.
Medical Image Anal.
Bo Zhan, Jianghong Xiao, Chongyang Cao, Xingchen Peng, Chen Zu, Jiliu Zhou, Yan Wang
2022 — conf
Multi-transSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients.
MICCAI (8)
Hanci Zheng, Zongying Lin, Qizheng Zhou, Xingchen Peng, Jianghong Xiao, Chen Zu, Zhengyang Jiao, Yan Wang
2022 J jnl
Semi-supervised NPC segmentation with uncertainty and attention guided consistency.
Knowl. Based Syst.
Lin Hu, Jiaxin Li, Xingchen Peng, Jianghong Xiao, Bo Zhan, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang
2022 — conf
Two-Phase Progressive Deep Transfer Learning for Cervical Cancer Dose Map Prediction.
ISBI
Jie Zeng, Chongyang Cao, Xingchen Peng, Jianghong Xiao, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang
2021 — conf
Adaptive Multi-Organ Loss Based Generative Adversarial Network For Automatic Dose Prediction In Radiotherapy.
ISBI
Chongyang Cao, Jianghong Xiao, Bo Zhan, Xingchen Peng, Xi Wu, Jiliu Zhou, Yan Wang
2021 J jnl
DA-DSUnet: Dual Attention-based Dense SU-net for automatic head-and-neck tumor segmentation in MRI images.
Neurocomputing
Pin Tang, Chen Zu, Mei Hong, Rui Yan, Xingchen Peng, Jianghong Xiao, Xi Wu, Jiliu Zhou, Luping Zhou, Yan Wang
2021 — conf
Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy.
MICCAI (7)
Shuai Tan, Pin Tang, Xingchen Peng, Jianghong Xiao, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang