Improving Personalized Search on the Social Web Based on Similarities between Users. - Zhenghua Xu 001; Thomas Lukasiewicz; Oana Tifrea-Marciuska (SUM, 2014)

Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling. - Zhenghua Xu 001; Cheng Chen 002; Thomas Lukasiewicz; Yishu Miao; Xiangwu Meng (CIKM, 2016)

Location-Aware News Recommendation Using Deep Localized Semantic Analysis. - Cheng Chen 002; Thomas Lukasiewicz; Xiangwu Meng; Zhenghua Xu 001 (DASFAA (1), 2017)

Tag-Aware Personalized Recommendation Using a Hybrid Deep Model. - Zhenghua Xu 001; Thomas Lukasiewicz; Cheng Chen 002; Yishu Miao; Xiangwu Meng (IJCAI, 2017)

Location-Aware Personalized News Recommendation With Deep Semantic Analysis. - Cheng Chen 002; Xiangwu Meng; Zhenghua Xu 001; Thomas Lukasiewicz (IEEE Access, 2017)

Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. - Zhenghua Xu 001; Cheng Chen 002; Thomas Lukasiewicz; Yishu Miao (CoRR, 2017)

Lightweight Tag-Aware Personalized Recommendation on the Social Web Using Ontological Similarity. - Zhenghua Xu 001; Oana Tifrea-Marciuska; Thomas Lukasiewicz; Maria Vanina Martinez; Gerardo I. Simari; Cheng Chen 002 (IEEE Access, 2018)

Diversity-Driven Extensible Hierarchical Reinforcement Learning. - Yuhang Song 001; Jianyi Wang; Thomas Lukasiewicz; Zhenghua Xu 001; Mai Xu (AAAI, 2019)

Tumor Segmentation Based on Deeply Supervised Multi-Scale U-Net. - Lei Wang; Bo Wang 072; Zhenghua Xu 001 (BIBM, 2019)

Semi-Supervised Attention-Guided CycleGAN for Data Augmentation on Medical Images. - Zhenghua Xu 001; Chang Qi; Guizhi Xu (BIBM, 2019)

Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment. - Bo Li 099; Zehua Cheng; Zhenghua Xu 001; Wei Ye 004; Thomas Lukasiewicz; Shikun Zhang (ICASSP, 2019)

Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. - Yuhang Song 001; Jianyi Wang; Thomas Lukasiewicz; Zhenghua Xu 001; Shangtong Zhang; Mai Xu (CoRR, 2019)

Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. - Yuhang Song 001; Jianyi Wang; Thomas Lukasiewicz; Zhenghua Xu 001; Mai Xu; Zihan Ding; Lianlong Wu (CoRR, 2019)

Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. - Yuhang Song 001; Andrzej Wojcicki; Thomas Lukasiewicz; Jianyi Wang; Abi Aryan; Zhenghua Xu 001; Mai Xu; Zihan Ding; Lianlong Wu (AAAI, 2020)

Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. - Yuhang Song 001; Jianyi Wang; Thomas Lukasiewicz; Zhenghua Xu 001; Shangtong Zhang; Andrzej Wojcicki; Mai Xu (AAAI, 2020)

Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. - Zhenghua Xu 001; Di Yuan; Thomas Lukasiewicz; Cheng Chen 002; Yishu Miao; Guizhi Xu (ICASSP, 2020)

Can the Brain Do Backpropagation? - Exact Implementation of Backpropagation in Predictive Coding Networks. - Yuhang Song 001; Thomas Lukasiewicz; Zhenghua Xu 001; Rafal Bogacz (NeurIPS, 2020)

Short-Term Load Forecasting Using Recurrent Neural Networks With Input Attention Mechanism and Hidden Connection Mechanism. - Mingfei Zhang; Zhoutao Yu; Zhenghua Xu 001 (IEEE Access, 2020)

Classifying Melanoma Skin Lesions Using Convolutional Spiking Neural Networks With Unsupervised STDP Learning Rule. - Qian Zhou 002; Yan Shi; Zhenghua Xu 001; Ruowei Qu; Guizhi Xu (IEEE Access, 2020)

Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey. - Dan Zhao; Guizhi Xu; Zhenghua Xu 001; Thomas Lukasiewicz; Minmin Xue; Zhigang Fu (CoRR, 2020)

SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images. - Chang Qi; Junyang Chen 001; Guizhi Xu; Zhenghua Xu 001; Thomas Lukasiewicz; Yang Liu 165 (CoRR, 2020)

Reinforced Medical Report Generation with X-Linear Attention and Repetition Penalty. - Wenting Xu; Chang Qi; Zhenghua Xu 001; Thomas Lukasiewicz (CoRR, 2020)

Efficient Medical Image Segmentation with Intermediate Supervision Mechanism. - Di Yuan; Junyang Chen 001; Zhenghua Xu 001; Thomas Lukasiewicz; Zhigang Fu; Guizhi Xu (CoRR, 2020)

w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution. - Bo Wang 072; Lei Wang; Junyang Chen 001; Zhenghua Xu 001; Thomas Lukasiewicz; Zhigang Fu (CoRR, 2020)

RSG: A Simple but Effective Module for Learning Imbalanced Datasets. - Jianfeng Wang; Thomas Lukasiewicz; Xiaolin Hu 001; Jianfei Cai 001; Zhenghua Xu 001 (CVPR, 2021)

Associative Memories via Predictive Coding. - Tommaso Salvatori; Yuhang Song 001; Yujian Hong; Lei Sha; Simon Frieder; Zhenghua Xu 001; Rafal Bogacz; Thomas Lukasiewicz (NeurIPS, 2021)

Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks. - Tommaso Salvatori; Yuhang Song 001; Thomas Lukasiewicz; Rafal Bogacz; Zhenghua Xu 001 (CoRR, 2021)

Predictive Coding Can Do Exact Backpropagation on Any Neural Network. - Tommaso Salvatori; Yuhang Song 001; Thomas Lukasiewicz; Rafal Bogacz; Zhenghua Xu 001 (CoRR, 2021)

Reverse Differentiation via Predictive Coding. - Tommaso Salvatori; Yuhang Song 001; Zhenghua Xu 001; Thomas Lukasiewicz; Rafal Bogacz (AAAI, 2022)

PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training. - Zihang Xu; Zhenghua Xu 001; Shuo Zhang; Thomas Lukasiewicz (CoRR, 2022)

Hybrid Reinforced Medical Report Generation with M-Linear Attention and Repetition Penalty. - Wenting Xu; Zhenghua Xu 001; Junyang Chen 001; Chang Qi; Thomas Lukasiewicz (CoRR, 2022)

Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm. - Tommaso Salvatori; Yuhang Song 001; Beren Millidge; Zhenghua Xu 001; Lei Sha; Cornelius Emde; Rafal Bogacz; Thomas Lukasiewicz (CoRR, 2022)

ω-net: Dual supervised medical image segmentation with multi-dimensional self-attention and diversely-connected multi-scale convolution. - Zhenghua Xu 001; Shijie Liu; Di Yuan; Lei Wang; Junyang Chen 001; Thomas Lukasiewicz; Zhigang Fu; Rui Zhang (Neurocomputing, 2022)

Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs. - Junyang Chen 001; Zhiguo Gong; Wei Wang 077; Cong Wang 018; Zhenghua Xu 001; Jianming Lv; Xueliang Li 002; Kaishun Wu; Weiwen Liu (IEEE Trans. Neural Networks Learn. Syst., 2022)

MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation. - Xiangtao Wang; Ruizhi Wang; Biao Tian; Jiaojiao Zhang; Shuo Zhang; Junyang Chen 001; Thomas Lukasiewicz; Zhenghua Xu 001 (ICASSP, 2023)

MvCo-DoT: Multi-View Contrastive Domain Transfer Network for Medical Report Generation. - Ruizhi Wang; Xiangtao Wang; Zhenghua Xu 001; Wenting Xu; Junyang Chen 001; Thomas Lukasiewicz (ICASSP, 2023)

Multi-Head Feature Pyramid Networks for Breast Mass Detection. - Hexiang Zhang; Zhenghua Xu 001; Dan Yao; Shuo Zhang; Junyang Chen 001; Thomas Lukasiewicz (ICASSP, 2023)

Adaptive-Masking Policy with Deep Reinforcement Learning for Self-Supervised Medical Image Segmentation. - Gang Xu; Shengxin Wang; Thomas Lukasiewicz; Zhenghua Xu 001 (ICME, 2023)

AMLP: Adaptive Masking Lesion Patches for Self-supervised Medical Image Segmentation. - Xiangtao Wang; Ruizhi Wang; Jie Zhou; Thomas Lukasiewicz; Zhenghua Xu 001 (CoRR, 2023)

C^2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network. - Ruizhi Wang; Xiangtao Wang; Jie Zhou; Thomas Lukasiewicz; Zhenghua Xu 001 (CoRR, 2023)

Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation. - Shuo Zhang; Jiaojiao Zhang; Biao Tian; Thomas Lukasiewicz; Zhenghua Xu 001 (Medical Image Anal., 2023)

Toward Knowledge as a Service (KaaS): Predicting Popularity of Knowledge Services Leveraging Graph Neural Networks. - Haozhe Lin; Yushun Fan; Jia Zhang 001; Bing Bai; Zhenghua Xu 001; Thomas Lukasiewicz (IEEE Trans. Serv. Comput., 2023)

Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processing. - Di Yuan; Yunxin Liu; Zhenghua Xu 001; Yuefu Zhan; Junyang Chen 001; Thomas Lukasiewicz (Comput. Biol. Medicine, 2023)

μ-Net: Medical image segmentation using efficient and effective deep supervision. - Di Yuan; Zhenghua Xu 001; Biao Tian; Hening Wang; Yuefu Zhan; Thomas Lukasiewicz (Comput. Biol. Medicine, 2023)

EFPN: Effective medical image detection using feature pyramid fusion enhancement. - Zhenghua Xu 001; Xudong Zhang; Hexiang Zhang; Yunxin Liu; Yuefu Zhan; Thomas Lukasiewicz (Comput. Biol. Medicine, 2023)

A Neural Inference of User Social Interest for Item Recommendation. - Junyang Chen 001; Ziyi Chen; Mengzhu Wang; Ge Fan; Guo Zhong; Ou Liu; Wenfeng Du; Zhenghua Xu 001; Zhiguo Gong (Data Sci. Eng., 2023)

IRLM: Inductive Representation Learning Model for Personalized POI Recommendation. - Junyang Chen 001; Mengzhu Wang; Haodi Zhang; Zhenghua Xu 001; Xueliang Li 002; Zhiguo Gong; Kaishun Wu; Victor C. M. Leung (IEEE Trans. Comput. Soc. Syst., 2023)

RIRGAN: An end-to-end lightweight multi-task learning method for brain MRI super-resolution and denoising. - Miao Yu 033; Miaomiao Guo; Shuai Zhang; Yuefu Zhan; Mingkang Zhao; Thomas Lukasiewicz; Zhenghua Xu 001 (Comput. Biol. Medicine, 2023)

A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. - Tommaso Salvatori; Yuhang Song 001; Yordan Yordanov; Beren Millidge; Lei Sha; Cornelius Emde; Zhenghua Xu 001; Rafal Bogacz; Thomas Lukasiewicz (ICLR, 2024)

Collaborative Attention Guided Multi-Scale Feature Fusion Network for Medical Image Segmentation. - Zhenghua Xu 001; Biao Tian; Shijie Liu; Xiangtao Wang; Di Yuan; Junhua Gu; Junyang Chen 001; Thomas Lukasiewicz; Victor C. M. Leung (IEEE Trans. Netw. Sci. Eng., 2024)

PhaCIA-TCNs: Short-Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention. - Zhenghua Xu 001; Zhoutao Yu; Hexiang Zhang; Junyang Chen 001; Junhua Gu; Thomas Lukasiewicz; Victor C. M. Leung (IEEE Trans. Netw. Sci. Eng., 2024)

Cross-domain attention-guided generative data augmentation for medical image analysis with limited data. - Zhenghua Xu 001; Jiaqi Tang 013; Chang Qi; Dan Yao; Caihua Liu; Yuefu Zhan; Thomas Lukasiewicz (Comput. Biol. Medicine, 2024)

Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image Segmentation. - Jiaojiao Zhang; Shuo Zhang; Xiaoqian Shen; Thomas Lukasiewicz; Zhenghua Xu 001 (IEEE Trans. Medical Imaging, 2024)

Automatic data augmentation for medical image segmentation using Adaptive Sequence-length based Deep Reinforcement Learning. - Zhenghua Xu 001; Shengxin Wang; Gang Xu; Yunxin Liu; Miao Yu 033; Hongwei Zhang; Thomas Lukasiewicz; Junhua Gu (Comput. Biol. Medicine, 2024)

MPL: Multiple Programming Languages with Large Language Models for Information Extraction. - Bo Li 099; Gexiang Fang; Wei Ye 004; Zhenghua Xu 001; Jinglei Zhang; Hao Cheng; Shikun Zhang (ACL (Findings), 2025)

A general survey on medical image super-resolution via deep learning. - Miao Yu 033; Zhenghua Xu 001; Thomas Lukasiewicz (Comput. Biol. Medicine, 2025)

Aggregated Mutual Learning between CNN and Transformer for semi-supervised medical image segmentation. - Zhenghua Xu 001; Hening Wang; Runhe Yang; Yuchen Yang; Weipeng Liu; Thomas Lukasiewicz (Knowl. Based Syst., 2025)

PCA: Semi-Supervised Segmentation With Patch Confidence Adversarial Training. - Zhenghua Xu 001; Runhe Yang; Zihang Xu; Shuo Zhang; Yuchen Yang; Weipeng Liu; Weichao Xu; Junyang Chen 001; Thomas Lukasiewicz; Victor C. M. Leung (IEEE Trans. Netw. Sci. Eng., 2025)

Self-Supervised Medical Image Segmentation Using Deep Reinforced Adaptive Masking. - Zhenghua Xu 001; Yunxin Liu; Gang Xu; Thomas Lukasiewicz (IEEE Trans. Medical Imaging, 2025)

Hybrid Reinforced Medical Report Generation With M-Linear Attention and Repetition Penalty. - Zhenghua Xu 001; Wenting Xu; Ruizhi Wang; Junyang Chen 001; Chang Qi; Thomas Lukasiewicz (IEEE Trans. Neural Networks Learn. Syst., 2025)

CGraphNet: Contrastive Graph Context Prediction for Sparse Unlabeled Short Text Representation Learning on Social Media. - Junyang Chen 001; Jingcai Guo; Xueliang Li 002; Huan Wang 005; Zhenghua Xu 001; Zhiguo Gong; Liang-Jie Zhang; Victor C. M. Leung (IEEE Trans. Comput. Soc. Syst., 2025)

C2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network. - Ruizhi Wang; Zhenghua Xu 001; Xiangtao Wang; Weipeng Liu; Thomas Lukasiewicz (Inf. Fusion, 2026)