Zhongshi He - RankMe

89 papers A* 3A 3B 10C 4Misc 3Journal 53Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FullTransNet: Full Transformer With Local-Global Attention for Video Summarization. IEEE Trans. Emerg. Top. Comput. Intell. Libin Lan, Lu Jiang, Tianshu Yu, Xiaojuan Liu, Zhongshi He
2026	A*	`conf`	Look Closer! An Adversarial Parametric Editing Framework for Hallucination Mitigation in VLMs. AAAI Jiayu Hu, Beibei Li, Jiangwei Xia, Yanjun Qin, Bing Ji, Zhongshi He
2025	J	`jnl`	Corrigendum: An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes. ACM Trans. Intell. Syst. Technol. Jiayu Hu, Senlin Shu, Beibei Li, Tao Xiang, Zhongshi He
2025	J	`jnl`	FullTransNet: Full Transformer with Local-Global Attention for Video Summarization. CoRR Libin Lan, Lu Jiang, Tianshu Yu, Xiaojuan Liu, Zhongshi He
2025	J	`jnl`	Look Closer! An Adversarial Parametric Editing Framework for Hallucination Mitigation in VLMs. CoRR Jiayu Hu, Beibei Li, Jiangwei Xia, Yanjun Qin, Bing Ji, Zhongshi He
2025	—	`conf`	SA-SAM: Stronger Adaptation for SAM in Camouflaged Object Detection. ICIC (3) Zhengqiang Jia, Xing Wu, Bo Zhou, Chengliang Wang, Zhongshi He
2025	B	`conf`	SAM-AEKD: SAM-Based Knowledge Distillation with Adaptive Fusion and Edge Features for Enhancing Medical Image Segmentation. IJCNN Shirong Zhou, Xing Wu, Chengliang Wang, Lingqiu Zeng, Zhongshi He, Yao Liu
2025	B	`conf`	SAM-Teacher: SAM can be a Good Teacher for Enhancing Medical Image Segmentation. SMC Lan Li, Xing Wu, Dejian Fang, Zhongshi He
2024	J	`jnl`	An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes. CoRR Jiayu Hu, Senlin Shu, Beibei Li, Tao Xiang, Zhongshi He
2024	J	`jnl`	An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes. ACM Trans. Intell. Syst. Technol. Jiayu Hu, Senlin Shu, Beibei Li, Tao Xiang, Zhongshi He
2024	B	`conf`	Anomaly Detection in Chest X-ray Images with Adversarial Masked Autoencoder. IJCNN Yehong Tong, Xing Wu, Zhongshi He, Chengliang Wang, Haidong Wang, Peng Wang
2024	J	`jnl`	Cross-Modality Reference and Feature Mutual-Projection for 3D Brain MRI Image Super-Resolution. J. Imaging Inform. Medicine Lulu Wang, Wanqi Zhang, Wei Chen, Zhongshi He, Yuanyuan Jia, Jinglong Du
2024	B	`conf`	Dual-Branch Retinal OCT Anomaly Detection Based on Knowledge Distillation and Reconstruction. IJCNN Minghui Zhai, Xing Wu, Zhongshi He, Chengliang Wang, Haidong Wang, Peng Wang
2024	J	`jnl`	FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph. ACM Trans. Inf. Syst. Wei Chen, Yiqing Wu, Zhao Zhang, Fuzhen Zhuang, Zhongshi He, Ruobing Xie, Feng Xia
2024	B	`conf`	Predict EGFR Mutation Status on CT Images Using Texture and Contour Enhanced Masked Autoencoders. IJCNN Yuping Peng, Xing Wu, Zhongshi He, Chengliang Wang, Haidong Wang, Peng Wang, Hongqian Wang
2024	A	`conf`	US-SAM: An Automatic Prompt Sam For Ultrasound Image. ICME Yuteng Wang, Xing Wu, Zhongshi He, Peng Wang, Haidong Wang, Hongqian Wang
2024	B	`conf`	Visual Navigation by Fusing Object Semantic Feature. SMC Weimin Li, Xing Wu, Chengliang Wang, Zhongshi He, Peng Wang, Hongqian Wang
2023	J	`jnl`	Inference-based complete algorithms for asymmetric distributed constraint optimization problems. Artif. Intell. Rev. Dingding Chen, Ziyu Chen, Yanchen Deng, Zhongshi He, Lulu Wang
2023	J	`jnl`	Learning heuristics for weighted CSPs through deep reinforcement learning. Appl. Intell. Dingding Chen, Ziyu Chen, Zhongshi He, Junsong Gao, Zhizhuo Su
2023	J	`jnl`	Lifelong Text-Audio Sentiment Analysis learning. Neural Networks Yuting Lin, Peng Ji, Xiuyi Chen, Zhongshi He
2023	—	`conf`	Visual Navigation of Target-Driven Memory-Augmented Reinforcement Learning. ICONIP (7) Weimin Li, Xing Wu, Zhongshi He, Bo Zhou
2022	Misc	`conf`	3d Cross-Scale Feature Transformer Network for Brain Mr Image Super-Resolution. ICASSP Wanqi Zhang, Lulu Wang, Wei Chen, Yuanyuan Jia, Zhongshi He, Jinglong Du
2022	B	`conf`	A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis. COLING Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He
2022	J	`jnl`	A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis. CoRR Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He
2022	J	`jnl`	Adjacent slices feature transformer network for single anisotropic 3D brain MRI image super-resolution. Biomed. Signal Process. Control. Lulu Wang, Huazheng Zhu, Zhongshi He, Yuanyuan Jia, Jinglong Du
2022	J	`jnl`	Hierarchical Interactive Network for joint aspect extraction and sentiment classification. Knowl. Based Syst. Wei Chen, Peiqin Lin, Wanqi Zhang, Jinglong Du, Zhongshi He
2022	—	`conf`	SubCrime: Counterfactual Data Augmentation for Target Sentiment Analysis. ICANN (2) Wei Chen, Lulu Wang, Jinglong Du, Zhongshi He
2021	B	`conf`	3D Multi-Branch Encoder-Decoder Networks with Attentional Feature Fusion for Pulmonary Nodule Detection in CT Scans. IJCNN Chenjiao Zhang, Lulu Wang, Xing Wu, Zhongshi He
2021	J	`jnl`	3D dense convolutional neural network for fast and accurate single MR image super-resolution. Comput. Medical Imaging Graph. Lulu Wang, Jinglong Du, Ali Gholipour, Huazheng Zhu, Zhongshi He, Yuanyuan Jia
2021	Misc	`conf`	Gating Feature Dense Network for Single Anisotropic Mr Image Super-Resolution. ICASSP Weidong He, Yangjinan Hu, Lulu Wang, Zhongshi He, Jinglong Du
2021	B	`conf`	High-Resolution Recurrent Gated Fusion Network for 3D Pancreas Segmentation. IJCNN Weijia Li, Xing Wu, Yangjinan Hu, Lulu Wang, Zhongshi He, Jinglong Du
2021	—	`conf`	Learning a Frequency Separation Network with Hybrid Convolution and Adaptive Aggregation for Low-dose CT Denoising. BIBM Xuecong Jiang, Lulu Wang, Zhongshi He, Jinglong Du
2020	J	`jnl`	3D dense connectivity network with atrous convolutional feature pyramid for brain tumor segmentation in magnetic resonance imaging of human heads. Comput. Biol. Medicine Zexun Zhou, Zhongshi He, Meifeng Shi, Jinglong Du, Dingding Chen
2020	Misc	`conf`	A Model-Based Deep Network for MRI Reconstruction Using Approximate Message Passing Algorithm. ICASSP Xiaoyu Qiao, Jinglong Du, Lulu Wang, Zhongshi He, Yuanyuan Jia
2020	J	`jnl`	A hybrid tree-based algorithm to solve asymmetric distributed constraint optimization problems. Auton. Agents Multi Agent Syst. Dingding Chen, Yanchen Deng, Ziyu Chen, Zhongshi He, Wenxin Zhang
2020	J	`jnl`	AFPNet: A 3D fully convolutional neural network with atrous-convolution feature pyramid for brain tumor segmentation via MRI images. Neurocomputing Zexun Zhou, Zhongshi He, Yuanyuan Jia
2020	—	`conf`	Brain MR Image Super-resolution using 3D Feature Attention Network. BIBM Lulu Wang, Jinglong Du, Huazheng Zhu, Zhongshi He, Yuanyuan Jia
2020	J	`jnl`	Brain MRI Super-Resolution Using 3D Dilated Convolutional Encoder-Decoder Network. IEEE Access Jinglong Du, Lulu Wang, Yulu Liu, Zexun Zhou, Zhongshi He, Yuanyuan Jia
2020	J	`jnl`	Context prior-based with residual learning for face detection: A deep convolutional encoder-decoder network. Signal Process. Image Commun. Zexun Zhou, Zhongshi He, Yuanyuan Jia, Jinglong Du, Lulu Wang, Ziyu Chen
2020	A*	`conf`	HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-Based Inference. AAAI Dingding Chen, Yanchen Deng, Ziyu Chen, Wenxin Zhang, Zhongshi He
2020	J	`jnl`	Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network. Neurocomputing Jinglong Du, Zhongshi He, Lulu Wang, Ali Gholipour, Zexun Zhou, Dingding Chen, Yuanyuan Jia
2019	J	`jnl`	A Generic Approach for Accelerating Belief Propagation based DCOP Algorithms via A Branch-and-Bound Technique. CoRR Ziyu Chen, Xingqiong Jiang, Yanchen Deng, Dingding Chen, Zhongshi He
2019	A*	`conf`	A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique. AAAI Ziyu Chen, Xingqiong Jiang, Yanchen Deng, Dingding Chen, Zhongshi He
2019	—	`conf`	Brain MRI Super-resolution Reconstruction using a Multi-level and Parallel Conv-Deconv Network. BIBM Lulu Wang, Jinglong Du, Ali Gholipour, Zhongshi He, Yuanyuan Jia
2019	J	`jnl`	HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-based Inference. CoRR Dingding Chen, Yanchen Deng, Ziyu Chen, Wenxin Zhang, Zhongshi He
2019	J	`jnl`	Unsupervised Learning of Multi-Sense Embedding with Matrix Factorization and Sparse Soft Clustering. Int. J. Pattern Recognit. Artif. Intell. Fei Guo, Zhongshi He, Liangyan Li, Jing Xuan
2019	J	`jnl`	Virtual Inpainting for Dazu Rock Carvings Based on a Sample Dataset. ACM Journal on Computing and Cultural Heritage Haiyan Wang, Zhongshi He, Dingding Chen, Yongwen Huang, Yiman He
2018	J	`jnl`	A class of iterative refined Max-sum algorithms via non-consecutive value propagation strategies. Auton. Agents Multi Agent Syst. Ziyu Chen, Yanchen Deng, Tengfei Wu, Zhongshi He
2018	J	`jnl`	A full variate Gaussian model-based RM-MEDA without clustering process. Int. J. Mach. Learn. Cybern. Meifeng Shi, Zhongshi He, Ziyu Chen, Xin Liu
2018	—	`conf`	Accelerated Super-resolution MR Image Reconstruction via a 3D Densely Connected Deep Convolutional Neural Network. BIBM Jinglong Du, Lulu Wang, Ali Gholipour, Zhongshi He, Yuanyuan Jia
2018	B	`conf`	FHEDN: A context modeling Feature Hierarchy Encoder-Decoder Network for face detection. IJCNN Zexun Zhou, Zhongshi He, Ziyu Chen, Yuanyuan Jia, Haiyan Wang, Jinglong Du, Dingding Chen, Lulu Wang, Jing Chen
2018	—	`conf`	Improvement on Speech Emotion Recognition Based on Deep Convolutional Neural Networks. ICCAI Yafeng Niu, Dongsheng Zou, Yadong Niu, Zhongshi He, Hua Tan
2017	J	`jnl`	A New Sparse Representation Framework for Reconstruction of an Isotropic High Spatial Resolution MR Volume From Orthogonal Anisotropic Resolution Scans. IEEE Trans. Medical Imaging Yuanyuan Jia, Ali Gholipour, Zhongshi He, Simon K. Warfield
2017	J	`jnl`	A breakthrough in Speech emotion recognition using Deep Retinal Convolution Neural Networks. CoRR Yafeng Niu, Dongsheng Zou, Yadong Niu, Zhongshi He, Hua Tan
2017	J	`jnl`	FHEDN: A based on context modeling Feature Hierarchy Encoder-Decoder Network for face detection. CoRR Zexun Zhou, Zhongshi He, Ziyu Chen, Yuanyuan Jia, Haiyan Wang, Jinglong Du, Dingding Chen
2016	J	`jnl`	A Novel Approach to Multiple Sequence Alignment Using Multiobjective Evolutionary Algorithm Based on Decomposition. IEEE J. Biomed. Health Informatics Huazheng Zhu, Zhongshi He, Yuanyuan Jia
2016	A	`conf`	A novel Multi-objective Optimization-based Image Registration Method. GECCO Meifeng Shi, Zhongshi He, Ziyu Chen, Hang Zhang
2016	J	`jnl`	An improved reference point based multi-objective optimization by decomposition. Int. J. Mach. Learn. Cybern. Huazheng Zhu, Zhongshi He, Yuanyuan Jia
2016	J	`jnl`	Combined data mining techniques based patient data outlier detection for healthcare safety. Int. J. Intell. Comput. Cybern. Gebeyehu Belay Gebremeskel, Chai Yi, Zhongshi He, Dawit Haile
2016	J	`jnl`	Jointly registering and fusing images from multiple sensors. Inf. Fusion Yinghao Li, Zhongshi He, Hao Zhu, Weiwei Zhang, Yuhao Wu
2016	J	`jnl`	Single Anisotropic 3-D MR Image Upsampling via Overcomplete Dictionary Trained From In-Plane High Resolution Slices. IEEE J. Biomed. Health Informatics Yuanyuan Jia, Zhongshi He, Ali Gholipour, Simon K. Warfield
2015	J	`jnl`	Critical analysis of smart environment sensor data behavior pattern based on sequential data mining techniques. Ind. Manag. Data Syst. Gebeyehu Belay Gebremeskel, Chai Yi, Chengliang Wang, Zhongshi He
2015	J	`jnl`	Using data-driven feature enrichment of text representation and ensemble technique for sentence-level polarity classification. J. Inf. Sci. Pu Zhang, Zhongshi He
2014	J	`jnl`	A Study of Dependency Features for Chinese Sentiment Classification. J. Softw. Pu Zhang, Zhongshi He, Lina Tao
2014	J	`jnl`	Constrained Optimization Via Artificial Immune System. IEEE Trans. Cybern. Weiwei Zhang, Gary G. Yen, Zhongshi He
2013	J	`jnl`	A variational Bayesian approach to robust sensor fusion based on Student-t distribution. Inf. Sci. Hao Zhu, Henry Leung, Zhongshi He
2013	J	`jnl`	A weakly supervised approach to Chinese sentiment classification using partitioned self-training. J. Inf. Sci. Pu Zhang, Zhongshi He
2013	J	`jnl`	Parameter optimization of simulation models for material supply in an emergent disaster based on support vector machine. Simul. Qi Cao, Zhongshi He
2013	J	`jnl`	State Estimation in Unknown Non-Gaussian Measurement Noise using Variational Bayesian Technique. IEEE Trans. Aerosp. Electron. Syst. Hao Zhu, Henry Leung, Zhongshi He
2012	J	`jnl`	Application of Particle Swarm Optimization Algorithm based on Classification Strategies to Grid Task Scheduling. J. Softw. Shaobo Zhong, Zhongshi He
2012	J	`jnl`	Secondary-diagonal mean transformation Partial Grey Model based on matrix series. Simul. Model. Pract. Theory Zhongshi He, Xin Liu, Yinong Chen
2012	J	`jnl`	Simultaneous Feature and Model Selection for Continuous Hidden Markov Models. IEEE Signal Process. Lett. Hao Zhu, Zhongshi He, Henry Leung
2011	C	`conf`	Data-Driven Approach Based on Semantic Roles for Recognizing Temporal Expressions and Events in Chinese. NLDB Hector Llorens, Estela Saquete, Borja Navarro, Liu Li, Zhongshi He
2011	J	`jnl`	Supersecondary structure prediction using Chou's pseudo amino acid composition. J. Comput. Chem. Dongsheng Zou, Zhongshi He, Jingyuan He, Yuxian Xia
2011	J	`jnl`	Using an Ensemble of Support Vector Machine Classifiers to Predict Protein Supersecondary Structural Motifs. J. Comput. Dongsheng Zou, Zhongshi He, Yuan Yan
2010	J	`jnl`	Gabor texture representation method for face recognition using the Gamma and generalized Gaussian models. Image Vis. Comput. Lei Yu, Zhongshi He, Qi Cao
2010	A	`conf`	Particle swarm optimizer with self-adjusting neighborhoods. GECCO Ziyu Chen, Zhongshi He, Cheng Zhang
2009	C	`conf`	A Strategy for SPN Detection Based on Biomimetic Pattern Recognition and Knowledge-Based Features. IEA/AIE Yan Liang, Zhongshi He, Ying Liu
2009	—	`conf`	A Uniform Solution to HPP in Terms of Membrane Computing. AICI Haizhu Chen, Zhongshi He
2009	—	`conf`	Mining Partially Labeled Subgraphs Using Support Constraints. FSKD (2) Houqun Yang, Zhongshi He, Xing Wu
2009	C	`conf`	Optimization of Feature-Opinion Pairs in Chinese Customer Reviews. IEA/AIE Yongwen Huang, Zhongshi He, Haiyan Wang
2009	—	`conf`	The non-clique particle swarm optimizer. GEC Summit Ziyu Chen, Zhongshi He, Cheng Zhang
2009	J	`jnl`	beta-Hairpin prediction with quadratic discriminant analysis using diversity measure. J. Comput. Chem. Dongsheng Zou, Zhongshi He, Jingyuan He
2005	J	`jnl`	The total chromatic number of regular graphs of even order and high degree. Discret. Math. Dezheng Xie, Zhongshi He
2004	J	`jnl`	Bounds on the reliability of distributed systems with unreliable nodes & links. IEEE Trans. Reliab. Yinong Chen, Zhongshi He
2003	—	`conf`	Simulating Highly Dependable Applications in a Distributed Computing Environment. Annual Simulation Symposium Yinong Chen, Zhongshi He
2003	J	`jnl`	The Simulation of a Highly Dependable Distributed Computing Environment. Simul. Yinong Chen, Zhongshi He
2001	C	`conf`	Dependability Modeling of Homogeneous and Heterogeneous Distributed Systems. ISADS Yinong Chen, Zhongshi He
1996	—	`conf`	A New Scheme For The Fault Diagnosis Of Multiprocessor Systems. Asian Test Symposium Xiaofan Yang, Tinghuai Chen, Zehan Cao, Zhongshi He, Hongqing Cao