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2020 – today
- 2024
[j12]Ding Luo
, Zhuohao Tong, Lu Wen, Mingze Bai, Xiaojie Jin, Zerong Liu, Yinghong Li, Weiwei Xue:
DTNPD: A comprehensive database of drugs and targets for neurological and psychiatric disorders. Comput. Biol. Medicine 175: 108536 (2024)- [j11]Yuanyuan Xu, Lu Wen, Zhengyang Jiao, Jianghong Xiao, Luping Zhou, Yanmei Luo, Jiliu Zhou, Xingchen Peng, Yan Wang:
DSANet: Dual-path segmentation-guided attention network for radiotherapy dose prediction from CT images only. Knowl. Based Syst. 304: 112536 (2024) - [j10]Yuxiang Yang, Yun Hou, Lu Wen, Pinxian Zeng, Yan Wang:
Semantic-Aware Adaptive Prompt Learning for Universal Multi-Source Domain Adaptation. IEEE Signal Process. Lett. 31: 1444-1448 (2024) - [j9]Zhenghao Feng, Lu Wen, Binyu Yan, Jiaqi Cui, Yan Wang:
Alleviating Class Imbalance in Semi-Supervised Multi-Organ Segmentation via Balanced Subclass Regularization. IEEE Signal Process. Lett. 31: 2450-2454 (2024) - [j8]Yuxiang Yang, Lu Wen, Pinxian Zeng, Binyu Yan, Yan Wang:
DANE: A Dual-Level Alignment Network With Ensemble Learning for Multisource Domain Adaptation. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [c12]Jiaqi Cui, Yan Wang, Lu Wen, Pinxian Zeng, Xi Wu, Jiliu Zhou, Dinggang Shen:
Image2Points: A 3D Point-Based Context Clusters GAN for High-Quality Pet Image Reconstruction. ICASSP 2024: 1726-1730 - [c11]Lu Wen, Zhenghao Feng, Yun Hou, Peng Wang, Xi Wu, Jiliu Zhou, Yan Wang:
DCL-Net: Dual Contrastive Learning Network for Semi-Supervised Multi-Organ Segmentation. ICASSP 2024: 1876-1880 - [c10]Yuxiang Yang, Lu Wen, Yuanyuan Xu, Jiliu Zhou, Yan Wang:
Adaptive Prompt Learning with Negative Textual Semantics and Uncertainty Modeling for Universal Multi-Source Domain Adaptation. ICME 2024: 1-6 - [c9]Zhenghao Feng, Lu Wen, Yuanyuan Xu, Binyu Yan, Jiliu Zhou, Yan Wang:
Content-Aware Adversarial Network with Gradient-Enhanced Dose Rectification for Radiotherapy Dose Prediction. ISBI 2024: 1-4 - [c8]Lu Wen, Qihun Zhang, Zhenghao Feng, Yuanyuan Xu, Xiao Chen, Jiliu Zhou, Yan Wang:
Triplet-Constraint Transformer with Multi-Scale Refinement for Dose Prediction in Radiotherapy. ISBI 2024: 1-4 - [c7]Yunpeng Guo, Xinyi Zeng, Pinxian Zeng, Yuchen Fei, Lu Wen, Jiliu Zhou, Yan Wang:
Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia. MICCAI (9) 2024: 192-201 - [i13]Jiaqi Cui, Yan Wang, Lu Wen, Pinxian Zeng, Xi Wu, Jiliu Zhou, Dinggang Shen:
Image2Points: A 3D Point-based Context Clusters GAN for High-Quality PET Image Reconstruction. CoRR abs/2402.00376 (2024) - [i12]Lu Wen, Qihun Zhang, Zhenghao Feng, Yuanyuan Xu, Xiao Chen, Jiliu Zhou, Yan Wang:
Triplet-constraint Transformer with Multi-scale Refinement for Dose Prediction in Radiotherapy. CoRR abs/2402.04566 (2024) - [i11]Lu Wen, Zhenghao Feng, Yun Hou, Peng Wang, Xi Wu, Jiliu Zhou, Yan Wang:
Dcl-Net: Dual Contrastive Learning Network for Semi-Supervised Multi-Organ Segmentation. CoRR abs/2403.03512 (2024) - [i10]Yuxiang Yang, Lu Wen, Yuanyuan Xu, Jiliu Zhou, Yan Wang:
Adaptive Prompt Learning with Negative Textual Semantics and Uncertainty Modeling for Universal Multi-Source Domain Adaptation. CoRR abs/2404.14696 (2024) - [i9]Yuxiang Yang, Lu Wen, Xinyi Zeng, Yuanyuan Xu, Xi Wu, Jiliu Zhou, Yan Wang:
Learning with Alignments: Tackling the Inter- and Intra-domain Shifts for Cross-multidomain Facial Expression Recognition. CoRR abs/2407.05688 (2024) - [i8]Lu Wen, Wenxia Yin, Zhenghao Feng, Xi Wu, Deng Xiong, Yan Wang:
ARANet: Attention-based Residual Adversarial Network with Deep Supervision for Radiotherapy Dose Prediction of Cervical Cancer. CoRR abs/2408.13981 (2024) - [i7]Zhenghao Feng, Lu Wen, Binyu Yan, Jiaqi Cui, Yan Wang:
Alleviating Class Imbalance in Semi-supervised Multi-organ Segmentation via Balanced Subclass Regularization. CoRR abs/2408.14047 (2024) - 2023
- [j7]Lu Wen, Jianghong Xiao, Shuai Tan, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang:
A Transformer-Embedded Multi-Task Model for Dose Distribution Prediction. Int. J. Neural Syst. 33(8): 2350043:1-2350043:16 (2023) - [j6]Lu Wen, Jianghong Xiao, Jie Zeng, Chen Zu, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang:
Multi-level progressive transfer learning for cervical cancer dose prediction. Pattern Recognit. 141: 109606 (2023) - [j5]Peng Wang, Junliang Yao, Yong Pu, Shuyuan Zhang, Lu Wen:
Study of Interference Detection of Rail Transit Wireless Communication System Based on Fourth-Order Cyclic Cumulant. Sensors 23(19): 8291 (2023) - [c6]Zhenghao Feng, Lu Wen, Peng Wang, Binyu Yan, Xi Wu, Jiliu Zhou, Yan Wang:
DiffDP: Radiotherapy Dose Prediction via a Diffusion Model. MICCAI (6) 2023: 191-201 - [i6]Zhenghao Feng, Lu Wen, Peng Wang, Binyu Yan, Xi Wu, Jiliu Zhou, Yan Wang:
DiffDP: Radiotherapy Dose Prediction via a Diffusion Model. CoRR abs/2307.09794 (2023) - [i5]Zhenghao Feng, Lu Wen, Jianghong Xiao, Yuanyuan Xu, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang:
Diffusion-based Radiotherapy Dose Prediction Guided by Inter-slice Aware Structure Encoding. CoRR abs/2311.02991 (2023) - [i4]Lu Wen, Songan Zhang, H. Eric Tseng, Huei Peng:
Dream to Adapt: Meta Reinforcement Learning by Latent Context Imagination and MDP Imagination. CoRR abs/2311.06673 (2023) - 2022
- [j4]Ji Dong, Peijie Zhou, Yichong Wu, Yidong Chen, Haoling Xie, Yuan Gao, Jiansen Lu, Jingwei Yang, Xiannian Zhang, Lu Wen, Tiejun Li, Fuchou Tang:
Integrating single-cell datasets with ambiguous batch information by incorporating molecular network features. Briefings Bioinform. 23(1) (2022) - [j3]Rui Wang, Xixi Liu, Li Li, Ming Yang, Jun Yong, Fan Zhai, Lu Wen, Liying Yan, Jie Qiao, Fuchou Tang:
Dissecting Human Gonadal Cell Lineage Specification and Sex Determination Using A Single-cell RNA-seq Approach. Genom. Proteom. Bioinform. 20(2): 223-245 (2022) - [j2]Yuan Gao, Jinning Zhang, Zhenyu Liu, Shuyue Qi, Xinmeng Guo, Hui Wang, Yanfei Cheng, Shuang Tian, Minyue Ma, Hongmei Peng, Lu Wen, Fuchou Tang, Yuanqing Yao:
Single-cell Sequencing Reveals Clearance of Blastula Chromosomal Mosaicism in In Vitro Fertilization Babies. Genom. Proteom. Bioinform. 20(6): 1224-1231 (2022) - [c5]Lu Wen, Songan Zhang, H. Eric Tseng, Baljeet Singh, Dimitar P. Filev, Huei Peng:
Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization. IROS 2022: 8987-8994 - 2021
- [c4]Songan Zhang, Lu Wen, Huei Peng, H. Eric Tseng:
Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning. ITSC 2021: 1745-1752 - [i3]Songan Zhang, Lu Wen, Huei Peng, H. Eric Tseng:
Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning. CoRR abs/2104.08876 (2021) - [i2]Lu Wen, Songan Zhang, H. Eric Tseng, Baljeet Singh, Dimitar P. Filev, Huei Peng:
Prior Is All You Need to Improve the Robustness and Safety for the First Time Deployment of Meta RL. CoRR abs/2108.08448 (2021) - 2020
- [c3]Lu Wen, Qiuping Huang:
Stimulating Motivations in English Speaking for Students Majoring in Engineering. CIPAE 2020: 415-419 - [c2]Ruiyun Zeng, Lu Wen:
The Construction of an Effective Multi-modal English Oral Output Teaching Mode in the Cloud Environment. CIPAE 2020: 420-424 - [c1]Lu Wen, Jingliang Duan, Shengbo Eben Li, Shaobing Xu, Huei Peng:
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization*. ITSC 2020: 1-7 - [i1]Lu Wen, Jingliang Duan, Shengbo Eben Li, Shaobing Xu, Huei Peng:
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization. CoRR abs/2003.01303 (2020)
2010 – 2019
- 2015
- [j1]Lu Wen, Fuchou Tang:
Computational biology: How to catch rare cell types. Nat. 525(7568): 197-198 (2015)
Coauthor Index
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