Zhenghua Xu - RankMe

74 papers A* 11A 2Misc 5Journal 51Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AttCL-GAN: Attentional contrastive learning-based generative adversarial network for modality completion of medical images. Knowl. Based Syst. Zhenghua Xu, Jiaqi Tang, Dan Yao, Zhenzhen Wang, Thomas Lukasiewicz
2026	J	`jnl`	C2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network. Inf. Fusion Ruizhi Wang, Zhenghua Xu, Xiangtao Wang, Weipeng Liu, Thomas Lukasiewicz
2026	A*	`conf`	Language Drift in Multilingual Retrieval-Augmented Generation: Characterization and Decoding-Time Mitigation. AAAI Bo Li, Zhenghua Xu, Rui Xie
2026	A*	`conf`	Modeling Uncertainty Trends for Timely Retrieval in Dynamic RAG. AAAI Bo Li, Tian Tian, Zhenghua Xu, Hao Cheng, Shikun Zhang, Wei Ye
2026	J	`jnl`	Semi-supervised medical image lesion detection based on multi-head feature fusion. Knowl. Based Syst. Zhenghua Xu, Hexiang Zhang, Runhe Yang, Weipeng Liu, Thomas Lukasiewicz
2025	J	`jnl`	A general survey on medical image super-resolution via deep learning. Comput. Biol. Medicine Miao Yu, Zhenghua Xu, Thomas Lukasiewicz
2025	J	`jnl`	Aggregated Mutual Learning between CNN and Transformer for semi-supervised medical image segmentation. Knowl. Based Syst. Zhenghua Xu, Hening Wang, Runhe Yang, Yuchen Yang, Weipeng Liu, Thomas Lukasiewicz
2025	J	`jnl`	CGraphNet: Contrastive Graph Context Prediction for Sparse Unlabeled Short Text Representation Learning on Social Media. IEEE Trans. Comput. Soc. Syst. Junyang Chen, Jingcai Guo, Xueliang Li, Huan Wang, Zhenghua Xu, Zhiguo Gong, Liang-Jie Zhang, Victor C. M. Leung
2025	J	`jnl`	Hybrid Reinforced Medical Report Generation With M-Linear Attention and Repetition Penalty. IEEE Trans. Neural Networks Learn. Syst. Zhenghua Xu, Wenting Xu, Ruizhi Wang, Junyang Chen, Chang Qi, Thomas Lukasiewicz
2025	—	`conf`	MPL: Multiple Programming Languages with Large Language Models for Information Extraction. ACL (Findings) Bo Li, Gexiang Fang, Wei Ye, Zhenghua Xu, Jinglei Zhang, Hao Cheng, Shikun Zhang
2025	J	`jnl`	MPL: Multiple Programming Languages with Large Language Models for Information Extraction. CoRR Bo Li, Gexiang Fang, Wei Ye, Zhenghua Xu, Jinglei Zhang, Hao Cheng, Shikun Zhang
2025	J	`jnl`	Modeling Uncertainty Trends for Timely Retrieval in Dynamic RAG. CoRR Bo Li, Tian Tian, Zhenghua Xu, Hao Cheng, Shikun Zhang, Wei Ye
2025	J	`jnl`	PCA: Semi-Supervised Segmentation With Patch Confidence Adversarial Training. IEEE Trans. Netw. Sci. Eng. Zhenghua Xu, Runhe Yang, Zihang Xu, Shuo Zhang, Yuchen Yang, Weipeng Liu, Weichao Xu, Junyang Chen, Thomas Lukasiewicz, Victor C. M. Leung
2025	J	`jnl`	Self-Supervised Medical Image Segmentation Using Deep Reinforced Adaptive Masking. IEEE Trans. Medical Imaging Zhenghua Xu, Yunxin Liu, Gang Xu, Thomas Lukasiewicz
2024	A*	`conf`	A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. ICLR Tommaso Salvatori, Yuhang Song, Yordan Yordanov, Beren Millidge, Lei Sha, Cornelius Emde, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
2024	J	`jnl`	Automatic data augmentation for medical image segmentation using Adaptive Sequence-length based Deep Reinforcement Learning. Comput. Biol. Medicine Zhenghua Xu, Shengxin Wang, Gang Xu, Yunxin Liu, Miao Yu, Hongwei Zhang, Thomas Lukasiewicz, Junhua Gu
2024	J	`jnl`	Collaborative Attention Guided Multi-Scale Feature Fusion Network for Medical Image Segmentation. IEEE Trans. Netw. Sci. Eng. Zhenghua Xu, Biao Tian, Shijie Liu, Xiangtao Wang, Di Yuan, Junhua Gu, Junyang Chen, Thomas Lukasiewicz, Victor C. M. Leung
2024	J	`jnl`	Cross-domain attention-guided generative data augmentation for medical image analysis with limited data. Comput. Biol. Medicine Zhenghua Xu, Jiaqi Tang, Chang Qi, Dan Yao, Caihua Liu, Yuefu Zhan, Thomas Lukasiewicz
2024	J	`jnl`	Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging Jiaojiao Zhang, Shuo Zhang, Xiaoqian Shen, Thomas Lukasiewicz, Zhenghua Xu
2024	J	`jnl`	PhaCIA-TCNs: Short-Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention. IEEE Trans. Netw. Sci. Eng. Zhenghua Xu, Zhoutao Yu, Hexiang Zhang, Junyang Chen, Junhua Gu, Thomas Lukasiewicz, Victor C. M. Leung
2023	J	`jnl`	A Neural Inference of User Social Interest for Item Recommendation. Data Sci. Eng. Junyang Chen, Ziyi Chen, Mengzhu Wang, Ge Fan, Guo Zhong, Ou Liu, Wenfeng Du, Zhenghua Xu, Zhiguo Gong
2023	J	`jnl`	AMLP: Adaptive Masking Lesion Patches for Self-supervised Medical Image Segmentation. CoRR Xiangtao Wang, Ruizhi Wang, Jie Zhou, Thomas Lukasiewicz, Zhenghua Xu
2023	A	`conf`	Adaptive-Masking Policy with Deep Reinforcement Learning for Self-Supervised Medical Image Segmentation. ICME Gang Xu, Shengxin Wang, Thomas Lukasiewicz, Zhenghua Xu
2023	J	`jnl`	C^2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network. CoRR Ruizhi Wang, Xiangtao Wang, Jie Zhou, Thomas Lukasiewicz, Zhenghua Xu
2023	J	`jnl`	EFPN: Effective medical image detection using feature pyramid fusion enhancement. Comput. Biol. Medicine Zhenghua Xu, Xudong Zhang, Hexiang Zhang, Yunxin Liu, Yuefu Zhan, Thomas Lukasiewicz
2023	J	`jnl`	IRLM: Inductive Representation Learning Model for Personalized POI Recommendation. IEEE Trans. Comput. Soc. Syst. Junyang Chen, Mengzhu Wang, Haodi Zhang, Zhenghua Xu, Xueliang Li, Zhiguo Gong, Kaishun Wu, Victor C. M. Leung
2023	Misc	`conf`	MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation. ICASSP Xiangtao Wang, Ruizhi Wang, Biao Tian, Jiaojiao Zhang, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz, Zhenghua Xu
2023	J	`jnl`	MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation. CoRR Xiangtao Wang, Ruizhi Wang, Biao Tian, Jiaojiao Zhang, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz, Zhenghua Xu
2023	Misc	`conf`	Multi-Head Feature Pyramid Networks for Breast Mass Detection. ICASSP Hexiang Zhang, Zhenghua Xu, Dan Yao, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz
2023	J	`jnl`	Multi-Head Feature Pyramid Networks for Breast Mass Detection. CoRR Hexiang Zhang, Zhenghua Xu, Dan Yao, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz
2023	J	`jnl`	Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation. Medical Image Anal. Shuo Zhang, Jiaojiao Zhang, Biao Tian, Thomas Lukasiewicz, Zhenghua Xu
2023	Misc	`conf`	MvCo-DoT: Multi-View Contrastive Domain Transfer Network for Medical Report Generation. ICASSP Ruizhi Wang, Xiangtao Wang, Zhenghua Xu, Wenting Xu, Junyang Chen, Thomas Lukasiewicz
2023	J	`jnl`	MvCo-DoT: Multi-View Contrastive Domain Transfer Network for Medical Report Generation. CoRR Ruizhi Wang, Xiangtao Wang, Zhenghua Xu, Wenting Xu, Junyang Chen, Thomas Lukasiewicz
2023	J	`jnl`	Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processing. Comput. Biol. Medicine Di Yuan, Yunxin Liu, Zhenghua Xu, Yuefu Zhan, Junyang Chen, Thomas Lukasiewicz
2023	J	`jnl`	RIRGAN: An end-to-end lightweight multi-task learning method for brain MRI super-resolution and denoising. Comput. Biol. Medicine Miao Yu, Miaomiao Guo, Shuai Zhang, Yuefu Zhan, Mingkang Zhao, Thomas Lukasiewicz, Zhenghua Xu
2023	J	`jnl`	Toward Knowledge as a Service (KaaS): Predicting Popularity of Knowledge Services Leveraging Graph Neural Networks. IEEE Trans. Serv. Comput. Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai, Zhenghua Xu, Thomas Lukasiewicz
2023	J	`jnl`	μ-Net: Medical image segmentation using efficient and effective deep supervision. Comput. Biol. Medicine Di Yuan, Zhenghua Xu, Biao Tian, Hening Wang, Yuefu Zhan, Thomas Lukasiewicz
2022	J	`jnl`	Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs. IEEE Trans. Neural Networks Learn. Syst. Junyang Chen, Zhiguo Gong, Wei Wang, Cong Wang, Zhenghua Xu, Jianming Lv, Xueliang Li, Kaishun Wu, Weiwen Liu
2022	J	`jnl`	Hybrid Reinforced Medical Report Generation with M-Linear Attention and Repetition Penalty. CoRR Wenting Xu, Zhenghua Xu, Junyang Chen, Chang Qi, Thomas Lukasiewicz
2022	J	`jnl`	Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm. CoRR Tommaso Salvatori, Yuhang Song, Beren Millidge, Zhenghua Xu, Lei Sha, Cornelius Emde, Rafal Bogacz, Thomas Lukasiewicz
2022	J	`jnl`	PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training. CoRR Zihang Xu, Zhenghua Xu, Shuo Zhang, Thomas Lukasiewicz
2022	A*	`conf`	Reverse Differentiation via Predictive Coding. AAAI Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz
2022	J	`jnl`	ω-net: Dual supervised medical image segmentation with multi-dimensional self-attention and diversely-connected multi-scale convolution. Neurocomputing Zhenghua Xu, Shijie Liu, Di Yuan, Lei Wang, Junyang Chen, Thomas Lukasiewicz, Zhigang Fu, Rui Zhang
2021	A*	`conf`	Associative Memories via Predictive Coding. NeurIPS Tommaso Salvatori, Yuhang Song, Yujian Hong, Lei Sha, Simon Frieder, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
2021	J	`jnl`	Associative Memories via Predictive Coding. CoRR Tommaso Salvatori, Yuhang Song, Yujian Hong, Simon Frieder, Lei Sha, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
2021	J	`jnl`	Predictive Coding Can Do Exact Backpropagation on Any Neural Network. CoRR Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu
2021	J	`jnl`	Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks. CoRR Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu
2021	A*	`conf`	RSG: A Simple but Effective Module for Learning Imbalanced Datasets. CVPR Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu
2021	J	`jnl`	RSG: A Simple but Effective Module for Learning Imbalanced Datasets. CoRR Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu
2020	A*	`conf`	Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. AAAI Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz, Jianyi Wang, Abi Aryan, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu
2020	A*	`conf`	Can the Brain Do Backpropagation? - Exact Implementation of Backpropagation in Predictive Coding Networks. NeurIPS Yuhang Song, Thomas Lukasiewicz, Zhenghua Xu, Rafal Bogacz
2020	J	`jnl`	Classifying Melanoma Skin Lesions Using Convolutional Spiking Neural Networks With Unsupervised STDP Learning Rule. IEEE Access Qian Zhou, Yan Shi, Zhenghua Xu, Ruowei Qu, Guizhi Xu
2020	J	`jnl`	Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey. CoRR Dan Zhao, Guizhi Xu, Zhenghua Xu, Thomas Lukasiewicz, Minmin Xue, Zhigang Fu
2020	J	`jnl`	Efficient Medical Image Segmentation with Intermediate Supervision Mechanism. CoRR Di Yuan, Junyang Chen, Zhenghua Xu, Thomas Lukasiewicz, Zhigang Fu, Guizhi Xu
2020	Misc	`conf`	Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. ICASSP Zhenghua Xu, Di Yuan, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Guizhi Xu
2020	A*	`conf`	Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. AAAI Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Andrzej Wojcicki, Mai Xu
2020	J	`jnl`	Reinforced Medical Report Generation with X-Linear Attention and Repetition Penalty. CoRR Wenting Xu, Chang Qi, Zhenghua Xu, Thomas Lukasiewicz
2020	J	`jnl`	SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images. CoRR Chang Qi, Junyang Chen, Guizhi Xu, Zhenghua Xu, Thomas Lukasiewicz, Yang Liu
2020	J	`jnl`	Short-Term Load Forecasting Using Recurrent Neural Networks With Input Attention Mechanism and Hidden Connection Mechanism. IEEE Access Mingfei Zhang, Zhoutao Yu, Zhenghua Xu
2020	J	`jnl`	w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution. CoRR Bo Wang, Lei Wang, Junyang Chen, Zhenghua Xu, Thomas Lukasiewicz, Zhigang Fu
2019	J	`jnl`	Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. CoRR Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu
2019	A*	`conf`	Diversity-Driven Extensible Hierarchical Reinforcement Learning. AAAI Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu
2019	Misc	`conf`	Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment. ICASSP Bo Li, Zehua Cheng, Zhenghua Xu, Wei Ye, Thomas Lukasiewicz, Shikun Zhang
2019	J	`jnl`	Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. CoRR Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Mai Xu
2019	—	`conf`	Semi-Supervised Attention-Guided CycleGAN for Data Augmentation on Medical Images. BIBM Zhenghua Xu, Chang Qi, Guizhi Xu
2019	—	`conf`	Tumor Segmentation Based on Deeply Supervised Multi-Scale U-Net. BIBM Lei Wang, Bo Wang, Zhenghua Xu
2018	J	`jnl`	Diversity-Driven Extensible Hierarchical Reinforcement Learning. CoRR Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu
2018	J	`jnl`	Lightweight Tag-Aware Personalized Recommendation on the Social Web Using Ontological Similarity. IEEE Access Zhenghua Xu, Oana Tifrea-Marciuska, Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Cheng Chen
2017	J	`jnl`	Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. CoRR Zhenghua Xu, Cheng Chen, Thomas Lukasiewicz, Yishu Miao
2017	—	`conf`	Location-Aware News Recommendation Using Deep Localized Semantic Analysis. DASFAA (1) Cheng Chen, Thomas Lukasiewicz, Xiangwu Meng, Zhenghua Xu
2017	J	`jnl`	Location-Aware Personalized News Recommendation With Deep Semantic Analysis. IEEE Access Cheng Chen, Xiangwu Meng, Zhenghua Xu, Thomas Lukasiewicz
2017	A*	`conf`	Tag-Aware Personalized Recommendation Using a Hybrid Deep Model. IJCAI Zhenghua Xu, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Xiangwu Meng
2016	A	`conf`	Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling. CIKM Zhenghua Xu, Cheng Chen, Thomas Lukasiewicz, Yishu Miao, Xiangwu Meng
2014	—	`conf`	Improving Personalized Search on the Social Web Based on Similarities between Users. SUM Zhenghua Xu, Thomas Lukasiewicz, Oana Tifrea-Marciuska