Ye Luo

138 papers A* 6A 7B 9C 5Misc 2Journal 74Unranked 35
YearRankTypeTitle / Venue / Authors
2026 A* conf
Learning Latent Imaging Biomarkers for Interpretable Microvascular Invasion Prediction in Hepatocellular Carcinoma.
AAAI
Ji Rao, Xinyu Liu, Yong Yi, Ying Xiao, Ye Luo
2026 J jnl
Multi-modal orthogonal fusion network via cross-layer guidance for Alzheimer's disease diagnosis.
Neural Networks
Yumiao Zhao, Bo Jiang, Yuan Chen, Ye Luo, Jin Tang
2026 J jnl
Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development.
CoRR
Zhongying Deng, Cheng Tang, Ziyan Huang, Jiashi Lin, Ying Chen, Junzhi Ning, Chenglong Ma, Jiyao Liu, Wei Li, Yinghao Zhu, Shujian Gao, Yanyan Huang, Sibo Ju, Yanzhou Su, Pengcheng Chen, Wenhao Tang, Tianbin Li, Haoyu Wang, Yuanfeng Ji, Hui Sun, Shaobo Min, Liang Peng, Feilong Tang, Haochen Xue, Rulin Zhou, Chaoyang Zhang, Wenjie Li, Shaohao Rui, Weijie Ma, Xingyue Zhao, Yibin Wang, Kun Yuan, Zhaohui Lu, Shujun Wang, Jinjie Wei, Lihao Liu, Dingkang Yang, Lin Wang, Yulong Li, Haolin Yang, Yiqing Shen, Lequan Yu, Xiaowei Hu, Yun Gu, Yicheng Wu, Benyou Wang, Minghui Zhang, Angelica I. Aviles-Rivero, Qi Gao, Hongming Shan, Xiaoyu Ren, Fang Yan, Hongyu Zhou, Haodong Duan, Maosong Cao, Shanshan Wang, Bin Fu, Xiaomeng Li, Zhi Hou, Chunfeng Song, Lei Bai, Yuan Cheng, Yuandong Pu, Xiang Li, Wenhai Wang, Hao Chen, Jiaxin Zhuang, Songyang Zhang, Huiguang He, Mengzhang Li, Bohan Zhuang, Zhian Bai, Rongshan Yu, Liansheng Wang, Yukun Zhou, Xiaosong Wang, Xin Guo, Guanbin Li, Xiangru Lin, Dakai Jin, Mianxin Liu, Wenlong Zhang, Qi Qin, Conghui He, Yuqiang Li, Ye Luo, Nanqing Dong, Jie Xu, Wenqi Shao, Bo Zhang, Qiujuan Yan, Yihao Liu, Jun Ma, Zhi Lu, Yuewen Cao, Zongwei Zhou, Jianming Liang, Shixiang Tang, Qi Duan, et al.
2026 A* conf
Stepwise Contrastive Reasoning for Retrieval-Augmented Generation over Knowledge Graphs.
AAAI
Chenxiao Lin, Ye Luo, Kunhong Liu, Qingqiang Wu
2026 J jnl
Unifying Spatial and Semantic Augmentation Strategies for Cross-Domain Semi-Supervised Medical Image Segmentation.
IEEE Trans. Emerg. Top. Comput. Intell.
Huilin Lai, Ye Luo, Jianwei Lu
2026 J jnl
daVinci-LLM:Towards the Science of Pretraining.
CoRR
Yiwei Qin, Yixiu Liu, Tiantian Mi, Muhang Xie, Zhen Huang, Weiye Si, Pengrui Lu, Siyuan Feng, Xia Wu, Liming Liu, Ye Luo, Jinlong Hou, Qipeng Guo, Yu Qiao, Pengfei Liu
2025 — conf
A Prototype-Driven Multi-Modality Image Sequence Learning Framework for EGFR Mutation Prediction in NSCLC.
BIBM
Ruimeng Liu, Yujing Zhao, Ziwei Qin, Ye Luo
2025 J jnl
AgentGit: A Version Control Framework for Reliable and Scalable LLM-Powered Multi-Agent Systems.
CoRR
Yang Li, Siqi Ping, Xiyu Chen, Xiaojian Qi, Zigan Wang, Ye Luo, Xiaowei Zhang
2025 J jnl
Aurora: Architecting Argonne's First Exascale Supercomputer for Accelerated Scientific Discovery.
CoRR
Benjamin S. Allen, James L. Anchell, Victor Anisimov, Thomas Applencourt, Abhishek Bagusetty, Ramesh Balakrishnan, Riccardo Balin, Solomon Bekele, Colleen Bertoni, Cyrus Blackworth, Renzo Bustamante, Kevin Canada, John Carrier, Christopher Chan-nui, Lance C. Cheney, J. Taylor Childers, Paul K. Coffman, Susan Coghlan, Michael D'Mello, Murali Emani, Kyle Felker, Sam Foreman, Olivier Franza, Longfei Gao, Marta García, María Jesús Garzarán, Balazs Gerofi, Yasaman Ghadar, Neha Gupta, Kevin Harms, Väinö Hatanpää, Brian Holland, Carissa Holohan, Brian Homerding, Khalid Hossain, Louise Huot, Huda Ibeid, Joseph A. Insley, Sai Jayanthi, Hong Jiang, Wei Jiang, Xiao-Yong Jin, Jeongnim Kim, Christopher Knight, Kalyan Kumaran, JaeHyuk Kwack, Ti Leggett, Ben Lenard, Chris Lewis, Nevin Liber, Johann Lombardi, Raymond M. Loy, Ye Luo, Bethany Lusch, Nilakantan Mahadevan, Victor A. Mateevitsi, Gordon McPheeters, Ryan Milner, Vitali A. Morozov, Servesh Muralidharan, Tom Musta, Mrigendra Nagar, Vikram Narayana, Marieme Ngom, Anthony-Trung Nguyen, Nathan Nichols, Aditya Nishtala, James C. Osborn, Michael E. Papka, Scott Parker, Saumil Patel, Adrian C. Pope, Sucheta Raghunanda, Esteban Rangel, Paul M. Rich, Silvio Rizzi, Kris Rowe, Varuni Sastry, Adam Scovel, Filippo Simini, Haritha Siddabathuni Som, Patrick Steinbrecher, Rick Stevens, Xinmin Tian, Peter Upton, Thomas D. Uram, Archit Vasan, Álvaro Vázquez-Mayagoitia, Kaushik Velusamy, Brice Videau, Venkatram Vishwanath, Brian Whitney, Timothy J. Williams, Michael Woodacre, Sam Zeltner, Gengbin Zheng, Huihuo Zheng
2025 Misc conf
BIF: A Biosignature Identification Framework for Model-agnostic Interpretation of MVI Diagnosis Models in HCC.
ICASSP
Pengyu Zheng, Yong Yi, Ye Luo
2025 J jnl
Bilateral Proxy Federated Domain Generalization for Privacy-Preserving Medical Image Diagnosis.
IEEE J. Biomed. Health Informatics
Huilin Lai, Ye Luo, Bo Li, Jianwei Lu, Junsong Yuan
2025 J jnl
Can AI Master Econometrics? Evidence from Econometrics AI Agent on Expert-Level Tasks.
CoRR
Qiang Chen, Tianyang Han, Jin Li, Ye Luo, Yuxiao Wu, Xiaowei Zhang, Tuo Zhou
2025 J jnl
Compound and Parallel Modes of Tropical Convolutional Neural Networks.
CoRR
Mingbo Li, Liying Liu, Ye Luo
2025 — conf
Construction and Application of a Personalized Interactive Teaching Network Platform for Ideological and Political Courses.
ICAIE
Lu Zhao, Ye Luo
2025 — conf
Desmoke-VIT: A Red Bias-Resistant Approach to Unpaired Laparoscopic Smoke Removal.
BIBM
Jiangfeng Li, Yifan Li, Hejing Cai, Zhiwen Cao, Shijie Wang, Hailong Liu, Cui Tang, Ye Luo
2025 J jnl
Hierarchical AI Multi-Agent Fundamental Investing: Evidence from China's A-Share Market.
CoRR
Chujun He, Zhonghao Huang, Xiangguo Li, Ye Luo, Kewei Ma, Yuxuan Xiong, Xiaowei Zhang, Mingyang Zhao
2025 J jnl
High-Dimensional L2-Boosting: Rate of Convergence.
J. Mach. Learn. Res.
Ye Luo, Martin Spindler, Jannis Kueck
2025 J jnl
Meta-Policy Reflexion: Reusable Reflective Memory and Rule Admissibility for Resource-Efficient LLM Agent.
CoRR
Chunlong Wu, Ye Luo, Zhibo Qu, Min Wang
2025 A conf
Multiscale Light-Matter Dynamics in Quantum Materials: From Electrons to Topological Superlattices.
SC
Taufeq Mohammed Razakh, Thomas Linker, Ye Luo, Nariman Piroozan, Simon John Pennycook, Nalini Kumar, Albert Musaelian, Anders Johansson, Boris Kozinsky, Rajiv K. Kalia, Priya Vashishta, Fuyuki Shimojo, Shinnosuke Hattori, Ken-ichi Nomura, Aiichiro Nakano
2025 B conf
PP-DACMR: A Privacy-Preserving Deep Adversarial Hashing for Cross-Modal Retrieval.
IWQoS
Jinzhi Ouyang, Fuyi Wang, Ye Luo, Jianting Ning, Leo Yu Zhang
2025 C conf
Performance Analysis of HPC Applications on the Aurora Supercomputer: Exploring the Impact of HBM-Enabled Intel Xeon Max CPUs.
ISC
Huda Ibeid, Vikram Narayana, Jeongnim Kim, Anthony Nguyen, Vitali Morozov, Ye Luo
2025 J jnl
Performance Analysis of HPC applications on the Aurora Supercomputer: Exploring the Impact of HBM-Enabled Intel Xeon Max CPUs.
CoRR
Huda Ibeid, Vikram Narayana, Jeongnim Kim, Anthony Nguyen, Vitali Morozov, Ye Luo
2025 J jnl
Preimage and collision attacks on reduced Ascon using algebraic strategies.
Cybersecur.
Qinggan Fu, Ye Luo, Qianqian Yang, Ling Song
2025 J jnl
Robust long-tailed recognition with distribution-aware adversarial example generation.
Neural Networks
Bo Li, Yongqiang Yao, Jingru Tan, Dandan Zhu, Ruihao Gong, Ye Luo, Jianwei Lu
2025 A* conf
SSC-VAE: Structured Sparse Coding Based Variational Autoencoder for Detail Preserved Image Reconstruction.
AAAI
Hao Wang, Lu Wang, Zhongyu Wang, Lixin Ma, Ye Luo
2025 J jnl
Software stewardship and advancement of a high-performance computing scientific application: QMCPACK.
Future Gener. Comput. Syst.
William F. Godoy, Steven E. Hahn, Michael M. Walsh, Philip W. Fackler, Jaron T. Krogel, Peter W. Doak, Paul R. C. Kent, Alfredo A. Correa, Ye Luo, Mark Dewing
2025 A conf
TSRS-Net: A Trilaterally Supervised Residual Network for Accurate Segmentation of Prostate Lesion Ablation Regions from MRI and Surgical Plan Images.
ICME
Yixin Li, Haifeng Wang, Zhichao Yan, Ye Luo
2025 J jnl
Toward Model-centric Heterogeneous Federated Graph Learning: A Knowledge-driven Approach.
CoRR
Huilin Lai, Guang Zeng, Xunkai Li, Xudong Shen, Yinlin Zhu, Ye Luo, Jianwei Lu, Lei Zhu
2025 — conf
TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System.
NAACL (Findings)
Zeyu Zhang, Jianxun Lian, Chen Ma, Yaning Qu, Ye Luo, Lei Wang, Rui Li, Xu Chen, Yankai Lin, Le Wu, Xing Xie, Ji-Rong Wen
2025 A conf
Tropical Algebra Meets Quantization: Less Multiplication QTCNNs for Efficient Inference.
ECAI
Mingbo Li, Chang Dong, Ye Luo
2024 A conf
A Cascade Multimodal Fine-Grained MRI Image Grading Network For Preoperative Microvascular Invasion In Hepatocellular Carcinoma.
ICME
Xinyu Liu, Yong Yi, Ye Luo
2024 — conf
A Redundancy Free Facial Acne Detection Framework Based on Multi-view Face Images Stitching.
BICS (2)
Ye Luo, Jianfei Wang, Linglin Zhang, Xinyu Liu, Ji Rao, Wantong Xu, Jianwei Lu, Xiuli Wang
2024 — conf
Accelerating Quantum Light-Matter Dynamics on Graphics Processing Units.
IPDPS (Workshops)
Taufeq Mohammed Razakh, Thomas Linker, Ye Luo, Rajiv K. Kalia, Ken-ichi Nomura, Priya Vashishta, Aiichiro Nakano
2024 J jnl
Artificial Intelligent Human-Computer Dialogue Support Platform for Hospitals.
Int. J. Pattern Recognit. Artif. Intell.
Xin Xia, Yunlong Ma, Ye Luo, Jianwei Lu
2024 — conf
Early Application Experiences on Aurora at ALCF: Moving From Petascale to Exascale Systems.
CUG
Colleen Bertoni, JaeHyuk Kwack, Thomas Applencourt, Abhishek Bagusetty, Yasaman Ghadar, Brian Homerding, Christopher Knight, Ye Luo, Mathialakan Thavappiragasam, John R. Tramm, Esteban Rangel, Umesh Unnikrishnan, Timothy J. Williams, Scott Parker
2024 J jnl
Interpretable CRISPR/Cas9 off-target activities with mismatches and indels prediction using BERT.
Comput. Biol. Medicine
Ye Luo, Yaowen Chen, Huanzeng Xie, Wentao Zhu, Guishan Zhang
2024 B conf
On the Selection of Positive and Negative Samples for Contrastive Math Word Problem Neural Solver.
EDM
Yiyao Li, Lu Wang, Jung-Jae Kim, Chor Seng Tan, Ye Luo
2024 J jnl
OpenAI-o1 AB Testing: Does the o1 model really do good reasoning in math problem solving?
CoRR
Leo Li, Ye Luo, Tingyou Pan
2024 — conf
Ponte Vecchio Across the Atlantic: Single-Node Benchmarking of Two Intel GPU Systems.
SC Workshops
Thomas Applencourt, Aditya Sadawarte, Servesh Muralidharan, Colleen Bertoni, JaeHyuk Kwack, Ye Luo, Esteban Rangel, John R. Tramm, Yasaman Ghadar, Arjen Tamerus, Chris Edsall, Tom Deakin
2024 J jnl
Rectify representation bias in vision-language models for long-tailed recognition.
Neural Networks
Bo Li, Yongqiang Yao, Jingru Tan, Ruihao Gong, Jianwei Lu, Ye Luo
2024 C conf
Reliable Cosine Matching via Neighborhood Consensus for Fundus Image Registration.
CSCWD
Kexian Tang, Shuyu Wang, Hao Yang, Huilin Lai, Jingyi Sun, Ye Luo
2024 J jnl
Spectral antisymmetry of twisted graph adjacency.
CoRR
Ye Luo, Arindam Roy
2024 J jnl
TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System.
CoRR
Zeyu Zhang, Jianxun Lian, Chen Ma, Yaning Qu, Ye Luo, Lei Wang, Rui Li, Xu Chen, Yankai Lin, Le Wu, Xing Xie, Ji-Rong Wen
2023 — conf
A Context Aware Lung Cancer Survival Prediction Network by Using Whole Slide Images.
ICONIP (10)
Xinyu Liu, Yicheng Wang, Ye Luo
2023 J jnl
A Random-patch based Defense Strategy Against Physical Attacks for Face Recognition Systems.
CoRR
Jiahao Xie, Ye Luo, Jianwei Lu
2023 C conf
Allegro-Legato: Scalable, Fast, and Robust Neural-Network Quantum Molecular Dynamics via Sharpness-Aware Minimization.
ISC
Hikaru Ibayashi, Taufeq Mohammed Razakh, Liqiu Yang, Thomas Linker, Marco Olguin, Shinnosuke Hattori, Ye Luo, Rajiv K. Kalia, Aiichiro Nakano, Ken-ichi Nomura, Priya Vashishta
2023 J jnl
Allegro-Legato: Scalable, Fast, and Robust Neural-Network Quantum Molecular Dynamics via Sharpness-Aware Minimization.
CoRR
Hikaru Ibayashi, Taufeq Mohammed Razakh, Liqiu Yang, Thomas Linker, Marco Olguin, Shinnosuke Hattori, Ye Luo, Rajiv K. Kalia, Aiichiro Nakano, Ken-ichi Nomura, Priya Vashishta
2023 B conf
Attentive Deep K-SVD Network for Patch Correlated Image Denoising.
ICIP
Yiwen Liang, Lu Wang, Jianfei Wang, Ye Luo
2023 — conf
BIN: A Bio-Signature Identification Network for Interpretable Liver Cancer Microvascular Invasion Prediction Based on Multi-modal MRIs.
ICONIP (4)
Pengyu Zheng, Bo Li, Huilin Lai, Ye Luo
2023 J jnl
Benchmarking deep learning methods for predicting CRISPR/Cas9 sgRNA on- and off-target activities.
Briefings Bioinform.
Guishan Zhang, Ye Luo, Xianhua Dai, Zhiming Dai
2023 J jnl
Domain-Aware Dual Attention for Generalized Medical Image Segmentation on Unseen Domains.
IEEE J. Biomed. Health Informatics
Huilin Lai, Ye Luo, Bo Li, Guokai Zhang, Jianwei Lu
2023 J jnl
Generic attacks on small-state stream cipher constructions in the multi-user setting.
Cybersecur.
Jianfu Huang, Ye Luo, Qinggan Fu, Yincen Chen, Chao Wang, Ling Song
2023 Misc conf
Improved Differential Cryptanalysis on SPECK Using Plaintext Structures.
ACISP
Zhuohui Feng, Ye Luo, Chao Wang, Qianqian Yang, Zhiquan Liu, Ling Song
2023 J jnl
Improved Differential Cryptanalysis on SPECK Using Plaintext Structures.
IACR Cryptol. ePrint Arch.
Zhuohui Feng, Ye Luo, Chao Wang, Qianqian Yang, Zhiquan Liu, Ling Song
2023 — conf
Multi-modality Fusion Based Lung Cancer Survival Analysis with Self-supervised Whole Slide Image Representation Learning.
PRCV (13)
Yicheng Wang, Ye Luo, Bo Li, Xiaoang Shen
2023 J jnl
Multi-scale pulmonary nodule classification with deep feature fusion via residual network.
J. Ambient Intell. Humaniz. Comput.
Guokai Zhang, Dandan Zhu, Xiao Liu, Mingle Chen, Laurent Itti, Ye Luo, Jianwei Lu
2023 J jnl
Nonlocal ultrasound image despeckling via improved statistics and rank constraint.
Pattern Anal. Appl.
Hanmei Yang, Jian Lu, Ye Luo, Guokai Zhang, Heng Zhang, Yiwen Liang, Jianwei Lu
2023 J jnl
Preimage and Collision Attacks on Reduced Ascon Using Algebraic Strategies.
IACR Cryptol. ePrint Arch.
Qinggan Fu, Ye Luo, Qianqian Yang, Ling Song
2023 J jnl
Research and exploration of data centre construction in smart hospital stage.
J. Comput. Methods Sci. Eng.
Xin Xia, Yunlong Ma, Ye Luo, Jianwei Lu
2023 J jnl
Software engineering to sustain a high-performance computing scientific application: QMCPACK.
CoRR
William F. Godoy, Steven E. Hahn, Michael M. Walsh, Philip W. Fackler, Jaron T. Krogel, Peter W. Doak, Paul R. C. Kent, Alfredo A. Correa, Ye Luo, Mark Dewing
2023 J jnl
Toward accurate polyp segmentation with cascade boundary-guided attention.
Vis. Comput.
Huilin Lai, Ye Luo, Guokai Zhang, Xiaoang Shen, Bo Li, Jianwei Lu
2022 — conf
A High-Performance Design for Hierarchical Parallelism in the QMCPACK Monte Carlo code.
HiPar@SC
Ye Luo, Peter W. Doak, Paul R. C. Kent
2022 J jnl
An online intelligent electronic medical record system via speech recognition.
Int. J. Distributed Sens. Networks
Xin Xia, Yunlong Ma, Ye Luo, Jianwei Lu
2022 — conf
Chip-Firing Reservoir Computing.
ICCDA
Liying Liu, Yang Zheng, Ye Luo
2022 J jnl
Cross-Modal Prostate Cancer Segmentation via Self-Attention Distillation.
IEEE J. Biomed. Health Informatics
Guokai Zhang, Xiaoang Shen, Yudong Zhang, Ye Luo, Jihao Luo, Dandan Zhu, Hanmei Yang, Weigang Wang, Binghui Zhao, Jianwei Lu
2022 J jnl
Deep Ranking Exemplar-Based Dynamic Scene Deblurring.
IEEE Trans. Image Process.
Yaowei Li, Jinshan Pan, Ye Luo, Jianwei Lu
2022 A* conf
Equalized Focal Loss for Dense Long-Tailed Object Detection.
CVPR
Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo
2022 J jnl
Equalized Focal Loss for Dense Long-Tailed Object Detection.
CoRR
Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo
2022 J jnl
Field of experts regularized nonlocal low rank matrix approximation for image denoising.
J. Comput. Appl. Math.
Hanmei Yang, Jian Lu, Heng Zhang, Ye Luo, Jianwei Lu
2022 J jnl
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning.
CoRR
Bo Li, Yongqiang Yao, Jingru Tan, Xin Lu, Fengwei Yu, Ye Luo, Jianwei Lu
2022 J jnl
OpenMP application experiences: Porting to accelerated nodes.
Parallel Comput.
Seonmyeong Bak, Colleen Bertoni, Swen Boehm, Reuben D. Budiardja, Barbara M. Chapman, Johannes Doerfert, Markus Eisenbach, Hal Finkel, Oscar R. Hernandez, Joseph Huber, Shintaro Iwasaki, Vivek Kale, Paul R. C. Kent, JaeHyuk Kwack, Meifeng Lin, Piotr Luszczek, Ye Luo, Buu Pham, Swaroop Pophale, Kiran Ravikumar, Vivek Sarkar, Thomas Scogland, Shilei Tian, P. K. Yeung
2022 J jnl
Reference-guided deep deblurring via a selective attention network.
Appl. Intell.
Yaowei Li, Ye Luo, Jianwei Lu
2021 J jnl
A Novel Memory-hard Password Hashing Scheme for Blockchain-based Cyber-physical Systems.
ACM Trans. Internet Techn.
Ye Luo, Zehai Su, Wei Zheng, Zhaobin Chen, Fuqin Wang, Zhemin Zhang, Jinjun Chen
2021 — conf
An Alternative Practice of Tropical Convolution to Traditional Convolutional Neural Networks.
ICCDA
Shiqing Fan, Liying Liu, Ye Luo
2021 J jnl
An Alternative Practice of Tropical Convolution to Traditional Convolutional Neural Networks.
CoRR
Shiqing Fan, Ye Luo
2021 — conf
BCN-GCN: A Novel Brain Connectivity Network Classification Method via Graph Convolution Neural Network for Alzheimer's Disease.
ICONIP (1)
Peiyi Gu, Xiaowen Xu, Ye Luo, Peijun Wang, Jianwei Lu
2021 J jnl
Causal Reinforcement Learning: An Instrumental Variable Approach.
CoRR
Jin Li, Ye Luo, Xiaowei Zhang
2021 — conf
Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks.
ICDSP
Shiqing Fan, Ye Luo
2021 J jnl
Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks.
CoRR
Shiqing Fan, Ye Luo
2021 — conf
Ex-NNQMD: Extreme-Scale Neural Network Quantum Molecular Dynamics.
IPDPS Workshops
Pankaj Rajak, Anikeya Aditya, Shogo Fukushima, Rajiv K. Kalia, Thomas Linker, Kuang Liu, Ye Luo, Aiichiro Nakano, Ken-ichi Nomura, Kohei Shimamura, Fuyuki Shimojo, Priya Vashishta
2021 — conf
Generative Adversarial Domain Generalization via Cross-Task Feature Attention Learning for Prostate Segmentation.
ICONIP (2)
Yifang Xu, Dan Yu, Ye Luo, Enbei Zhu, Jianwei Lu
2021 J jnl
L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation.
CoRR
Jiahao Xie, Sheng Zhang, Jianwei Lu, Ye Luo
2021 B conf
L-Snet: From Region Localization To Scale Invariant Medical Image Segmentation.
ICIP
Jiahao Xie, Sheng Zhang, Jianwei Lu, Ye Luo
2021 B conf
Liver Tumor Detection Via A Multi-Scale Intermediate Multi-Modal Fusion Network on MRI Images.
ICIP
Chao Pan, Peiyun Zhou, Jingru Tan, Baoye Sun, Ruoyu Guan, Zhutao Wang, Ye Luo, Jianwei Lu
2021 J jnl
Min-Max-Plus Neural Networks.
CoRR
Ye Luo, Shiqing Fan
2021 — conf
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning.
BIBM
Xiaoang Shen, Guokai Zhang, Huilin Lai, Jihao Luo, Jianwei Lu, Ye Luo
2021 J jnl
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning.
CoRR
Xiaoang Shen, Guokai Zhang, Huilin Lai, Jihao Luo, Ye Luo, Jianwei Lu
2021 J jnl
Self-fulfilling Bandits: Endogeneity Spillover and Dynamic Selection in Algorithmic Decision-making.
CoRR
Jin Li, Ye Luo, Xiaowei Zhang
2021 J jnl
Shape-Enforcing Operators for Generic Point and Interval Estimators of Functions.
J. Mach. Learn. Res.
Xi Chen, Victor Chernozhukov, Iván Fernández-Val, Scott Kostyshak, Ye Luo
2021 J jnl
Single image deblurring with cross-layer feature fusion and consecutive attention.
J. Vis. Commun. Image Represent.
Yaowei Li, Ye Luo, Guokai Zhang, Jianwei Lu
2020 — conf
Cross-Modal Self-Attention Distillation for Prostate Cancer Segmentation.
BIBM
Guokai Zhang, Xiaoang Shen, Ye Luo, Jihao Luo, Zeju Wang, Weigang Wang, Binghui Zhao, Jianwei Lu
2020 J jnl
Cross-Modal Self-Attention Distillation for Prostate Cancer Segmentation.
CoRR
Guokai Zhang, Xiaoang Shen, Ye Luo, Jihao Luo, Zeju Wang, Weigang Wang, Binghui Zhao, Jianwei Lu
2020 C conf
Quantum Dynamics at Scale: Ultrafast Control of Emergent Functional Materials.
HPC Asia
Subodh C. Tiwari, Aravind Krishnamoorthy, Pankaj Rajak, Putt Sakdhnagool, Manaschai Kunaseth, Fuyuki Shimojo, Shogo Fukushima, Aiichiro Nakano, Ye Luo, Rajiv K. Kalia, Ken-ichi Nomura, Priya Vashishta
2020 B conf
Single Image Deblurring Using Bi-Attention Network.
ICPR
Yaowei Li, Ye Luo, Jianwei Lu
2020 J jnl
SortedEffects: Sorted Causal Effects in R.
R J.
Shuowen Chen, Victor Chernozhukov, Iván Fernández-Val, Ye Luo
2020 B conf
Ultrasound Image Restoration Using Weighted Nuclear Norm Minimization.
ICPR
Hanmei Yang, Heng Zhang, Ye Luo, Jianwei Lu, Jian Lu
2020 — conf
Using CNN With Handcrafted Features for Prostate Cancer Classification.
CACRE
Yimo Liu, Di Bu, Guokai Zhang, Ye Luo, Jianwei Lu, Weigang Wang, Binghui Zhao
2019 J jnl
A Bi-Attention Adversarial Network for Prostate Cancer Segmentation.
IEEE Access
Guokai Zhang, Weigang Wang, Dinghao Yang, Jihao Luo, Pengcheng He, Yongtong Wang, Ye Luo, Binghui Zhao, Jianwei Lu
2019 J jnl
Adaptive Discrete Smoothing for High-Dimensional and Nonlinear Panel Data.
CoRR
Xi Chen, Victor Chernozhukov, Ye Luo, Martin Spindler
2019 J jnl
DSM: A Deep Supervised Multi-Scale Network Learning for Skin Cancer Segmentation.
IEEE Access
Guokai Zhang, Xiaoang Shen, Sirui Chen, Lipeng Liang, Ye Luo, Jie Yu, Jianwei Lu
2019 — conf
Diagnosis of Thyroid Nodules in Ultrasound Images Using Two Combined Classification Modules.
CISP-BMEI
Heng Zhang, Chongke Zhao, Lehang Guo, Xiaolong Li, Ye Luo, Janwei Lu, Huixiong Xu
2019 J jnl
Prediction of Negative Conversion Days of Childhood Nephrotic Syndrome Based on PCA and BP-AdaBoost Neural Network.
IEEE Access
Ye Luo, Beihong Wang
2018 J jnl
3D Spatial Pyramid Dilated Network for Pulmonary Nodule Classification.
Symmetry
Guokai Zhang, Xiao Liu, Dandan Zhu, Pengcheng He, Lipeng Liang, Ye Luo, Jianwei Lu
2018 J jnl
A Coarse-to-Fine Fully Convolutional Neural Network for Fundus Vessel Segmentation.
Symmetry
Jianwei Lu, Yixuan Xu, Mingle Chen, Ye Luo
2018 J jnl
An Adversarial and Densely Dilated Network for Connectomes Segmentation.
Symmetry
Ke Chen, Dandan Zhu, Jianwei Lu, Ye Luo
2018 J jnl
Cryptanalysis of an asymmetric cipher protocol using a matrix decomposition problem: revisited.
Multim. Tools Appl.
Zhimin Yu, Chunsheng Gu, Zhengjun Jing, Qiu-ru Cai, Ye Luo, Yao Wang
2018 J jnl
Multi-Scale Adversarial Feature Learning for Saliency Detection.
Symmetry
Dandan Zhu, Lei Dai, Ye Luo, Guokai Zhang, Xuan Shao, Laurent Itti, Jianwei Lu
2018 J jnl
Salient object detection via a local and global method based on deep residual network.
J. Vis. Commun. Image Represent.
Dandan Zhu, Ye Luo, Lei Dai, Xuan Shao, Qiangqiang Zhou, Laurent Itti, Jianwei Lu
2018 B conf
Spatial Pyramid Dilated Network for Pulmonary Nodule Malignancy Classification.
ICPR
Guokai Zhang, Ye Luo, Dandan Zhu, Yixuan Xu, Yunxin Sun, Jianwei Lu
2018 J jnl
Synthetic Medical Images Using F&BGAN for Improved Lung Nodules Classification by Multi-Scale VGG16.
Symmetry
Defang Zhao, Dandan Zhu, Jianwei Lu, Ye Luo, Guokai Zhang
2017 — conf
A Hybrid Model: DGnet-SVM for the Classification of Pulmonary Nodules.
ICONIP (4)
Yixuan Xu, Guokai Zhang, Yuan Li, Ye Luo, Jianwei Lu
2017 — conf
Deep Salient Object Detection via Hierarchical Network Learning.
ICONIP (3)
Dandan Zhu, Ye Luo, Lei Dai, Xuan Shao, Laurent Itti, Jianwei Lu
2017 A conf
Embracing a new era of highly efficient and productive quantum Monte Carlo simulations.
SC
Amrita Mathuriya, Ye Luo, Raymond C. Clay III, Anouar Benali, Luke Shulenburger, Jeongnim Kim
2017 J jnl
Embracing a new era of highly efficient and productive quantum Monte Carlo simulations.
CoRR
Amrita Mathuriya, Ye Luo, Raymond C. Clay III, Anouar Benali, Luke Shulenburger, Jeongnim Kim
2017 J jnl
Image salient object detection with refined deep features via convolution neural network.
J. Electronic Imaging
Dandan Zhu, Lei Dai, Xuan Shao, Qiangqiang Zhou, Laurent Itti, Ye Luo, Jianwei Lu
2017 — conf
MC-DCNN: Dilated Convolutional Neural Network for Computing Stereo Matching Cost.
ICONIP (3)
Xiao Liu, Ye Luo, Yu Ye, Jianwei Lu
2017 A conf
Optimization and Parallelization of B-Spline Based Orbital Evaluations in QMC on Multi/Many-Core Shared Memory Processors.
IPDPS
Amrita Mathuriya, Ye Luo, Anouar Benali, Luke Shulenburger, Jeongnim Kim
2017 — conf
Regularizing CNN via Feature Augmentation.
ICONIP (2)
Liechuan Ou, Zheng Chen, Jianwei Lu, Ye Luo
2017 B conf
Saliency prediction based on new deep multi-layer convolution neural network.
ICIP
Dandan Zhu, Ye Luo, Xuan Shao, Laurent Itti, Jianwei Lu
2017 — conf
Scanpath Prediction Based on High-Level Features and Memory Bias.
ICONIP (3)
Xuan Shao, Ye Luo, Dandan Zhu, Shuqin Li, Laurent Itti, Jianwei Lu
2016 J jnl
$L_2$Boosting in High-Dimensions: Rate of Convergence.
CoRR
Ye Luo, Martin Spindler
2016 C conf
Cloud Detection of optical remote sensing image time series using Mean Shift algorithm.
IGARSS
Jiang Qian, Ye Luo, Yong Wang, Daotong Li
2016 J jnl
Detecting "Smart" Spammers On Social Network: A Topic Model Approach.
CoRR
Linqing Liu, Yao Lu, Ye Luo, Renxian Zhang, Laurent Itti, Jianwei Lu
2016 — conf
Detecting "Smart" Spammers on Social Network: A Topic Model Approach.
SRW@HLT-NAACL
Linqing Liu, Yao Lu, Ye Luo, Renxian Zhang, Laurent Itti, Jianwei Lu
2016 J jnl
Finding spatio-temporal salient paths for video objects discovery.
J. Vis. Commun. Image Represent.
Ye Luo, Junsong Yuan, Jianwei Lu
2016 J jnl
Optimization and parallelization of B-spline based orbital evaluations in QMC on multi/many-core shared memory processors.
CoRR
Amrita Mathuriya, Ye Luo, Anouar Benali, Luke Shulenburger, Jeongnim Kim
2016 — conf
Sparse Segmentation Algorithm of Liver in CT Images.
ISCID (2)
Bin Sun, Chunhui Ma, Xinyu Jin, Ye Luo
2015 A* conf
Actionness-Assisted Recognition of Actions.
ICCV
Ye Luo, Loong-Fah Cheong, An Tran
2014 — conf
Modeling the Temporality of Saliency.
ACCV (3)
Ye Luo, Loong-Fah Cheong, John-John Cabibihan
2013 A* conf
Salient object detection in videos by optimal spatio-temporal path discovery.
ACM Multimedia
Ye Luo, Junsong Yuan
2013 — conf
Thematic Saliency Detection Using Spatial-Temporal Context.
ICCV Workshops
Ye Luo, Gangqiang Zhao, Junsong Yuan
2012 — conf
Spatio-temporal enhanced sparse feature selection for video saliency estimation.
CVPR Workshops
Ye Luo, Qi Tian
2011 J jnl
Rank-determining sets of metric graphs.
J. Comb. Theory A
Ye Luo
2011 J jnl
Saliency Density Maximization for Efficient Visual Objects Discovery.
IEEE Trans. Circuits Syst. Video Technol.
Ye Luo, Junsong Yuan, Ping Xue, Qi Tian
2011 A conf
Salient region detection and its application to video retargeting.
ICME
Ye Luo, Junsong Yuan, Ping Xue, Qi Tian
2010 — conf
Image Histogram Constrained SIFT Matching.
PCM (1)
Ye Luo, Ping Xue, Qi Tian
2010 — conf
Saliency Density Maximization for Object Detection and Localization.
ACCV (3)
Ye Luo, Junsong Yuan, Ping Xue, Qi Tian
2008 — conf
Research and Design of Web-Based E-learning System.
CSSE (5)
Huandong Chen, Chunhui Song, Shulei Wu, Haihua Xing, Zhanji Gui, Xianchuan Yu, Ye Luo