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2020 – today
- 2024
[j41]Wei Chen
, Yiqing Wu, Zhao Zhang, Fuzhen Zhuang, Zhongshi He, Ruobing Xie, Feng Xia:
FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph. ACM Trans. Inf. Syst. 42(4): 94:1-94:25 (2024)- [c31]Yuteng Wang, Xing Wu, Zhongshi He, Peng Wang, Haidong Wang, Hongqian Wang:
US-SAM: An Automatic Prompt Sam For Ultrasound Image. ICME 2024: 1-6 - [c30]Yuping Peng, Xing Wu, Zhongshi He, Chengliang Wang, Haidong Wang, Peng Wang, Hongqian Wang:
Predict EGFR Mutation Status on CT Images Using Texture and Contour Enhanced Masked Autoencoders. IJCNN 2024: 1-8 - [c29]Yehong Tong, Xing Wu, Zhongshi He, Chengliang Wang, Haidong Wang, Peng Wang:
Anomaly Detection in Chest X-ray Images with Adversarial Masked Autoencoder. IJCNN 2024: 1-8 - [c28]Minghui Zhai, Xing Wu, Zhongshi He, ChengLiang Wang, Haidong Wang, Peng Wang:
Dual-Branch Retinal OCT Anomaly Detection Based on Knowledge Distillation and Reconstruction. IJCNN 2024: 1-8 - [i6]Jiayu Hu, Senlin Shu, Beibei Li, Tao Xiang, Zhongshi He:
An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes. CoRR abs/2409.19600 (2024) - 2023
- [j40]Dingding Chen, Ziyu Chen, Yanchen Deng, Zhongshi He, Lulu Wang:
Inference-based complete algorithms for asymmetric distributed constraint optimization problems. Artif. Intell. Rev. 56(5): 4491-4534 (2023) - [j39]Dingding Chen, Ziyu Chen, Zhongshi He, Junsong Gao, Zhizhuo Su:
Learning heuristics for weighted CSPs through deep reinforcement learning. Appl. Intell. 53(8): 8844-8863 (2023) - [j38]Yuting Lin, Peng Ji, Xiuyi Chen, Zhongshi He:
Lifelong Text-Audio Sentiment Analysis learning. Neural Networks 162: 162-174 (2023) - [c27]Weimin Li, Xing Wu, Zhongshi He, Bo Zhou:
Visual Navigation of Target-Driven Memory-Augmented Reinforcement Learning. ICONIP (7) 2023: 422-432 - 2022
- [j37]Lulu Wang, Huazheng Zhu, Zhongshi He, Yuanyuan Jia, Jinglong Du:
Adjacent slices feature transformer network for single anisotropic 3D brain MRI image super-resolution. Biomed. Signal Process. Control. 72(Part): 103339 (2022) - [j36]Wei Chen, Peiqin Lin, Wanqi Zhang, Jinglong Du, Zhongshi He:
Hierarchical Interactive Network for joint aspect extraction and sentiment classification. Knowl. Based Syst. 256: 109825 (2022) - [c26]Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He:
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis. COLING 2022: 7013-7019 - [c25]Wei Chen, Lulu Wang, Jinglong Du, Zhongshi He:
SubCrime: Counterfactual Data Augmentation for Target Sentiment Analysis. ICANN (2) 2022: 307-319 - [c24]Wanqi Zhang, Lulu Wang, Wei Chen, Yuanyuan Jia, Zhongshi He, Jinglong Du:
3d Cross-Scale Feature Transformer Network for Brain Mr Image Super-Resolution. ICASSP 2022: 1356-1360 - [i5]Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He:
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis. CoRR abs/2208.11283 (2022) - 2021
- [j35]Lulu Wang, Jinglong Du, Ali Gholipour, Huazheng Zhu, Zhongshi He, Yuanyuan Jia:
3D dense convolutional neural network for fast and accurate single MR image super-resolution. Comput. Medical Imaging Graph. 93: 101973 (2021) - [c23]Xuecong Jiang, Lulu Wang, Zhongshi He, Jinglong Du:
Learning a Frequency Separation Network with Hybrid Convolution and Adaptive Aggregation for Low-dose CT Denoising. BIBM 2021: 919-925 - [c22]Weidong He, Yangjinan Hu, Lulu Wang, Zhongshi He, Jinglong Du:
Gating Feature Dense Network for Single Anisotropic Mr Image Super-Resolution. ICASSP 2021: 1670-1674 - [c21]Weijia Li, Xing Wu, Yangjinan Hu, Lulu Wang, Zhongshi He, Jinglong Du:
High-Resolution Recurrent Gated Fusion Network for 3D Pancreas Segmentation. IJCNN 2021: 1-7 - [c20]Chenjiao Zhang, Lulu Wang, Xing Wu, Zhongshi He:
3D Multi-Branch Encoder-Decoder Networks with Attentional Feature Fusion for Pulmonary Nodule Detection in CT Scans. IJCNN 2021: 1-8 - 2020
- [j34]Dingding Chen, Yanchen Deng, Ziyu Chen, Zhongshi He, Wenxin Zhang:
A hybrid tree-based algorithm to solve asymmetric distributed constraint optimization problems. Auton. Agents Multi Agent Syst. 34(2): 50 (2020) - [j33]Jinglong Du, Lulu Wang, Yulu Liu, Zexun Zhou, Zhongshi He, Yuanyuan Jia:
Brain MRI Super-Resolution Using 3D Dilated Convolutional Encoder-Decoder Network. IEEE Access 8: 18938-18950 (2020) - [j32]Zexun Zhou, Zhongshi He, Meifeng Shi, Jinglong Du, Dingding Chen:
3D dense connectivity network with atrous convolutional feature pyramid for brain tumor segmentation in magnetic resonance imaging of human heads. Comput. Biol. Medicine 121: 103766 (2020) - [j31]Jinglong Du, Zhongshi He, Lulu Wang, Ali Gholipour, Zexun Zhou, Dingding Chen, Yuanyuan Jia:
Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network. Neurocomputing 392: 209-220 (2020) - [j30]Zexun Zhou, Zhongshi He, Yuanyuan Jia:
AFPNet: A 3D fully convolutional neural network with atrous-convolution feature pyramid for brain tumor segmentation via MRI images. Neurocomputing 402: 235-244 (2020) - [j29]Zexun Zhou, Zhongshi He, Yuanyuan Jia, Jinglong Du, Lulu Wang, Ziyu Chen:
Context prior-based with residual learning for face detection: A deep convolutional encoder-decoder network. Signal Process. Image Commun. 88: 115948 (2020) - [c19]Dingding Chen, Yanchen Deng, Ziyu Chen, Wenxin Zhang, Zhongshi He:
HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-Based Inference. AAAI 2020: 7087-7094 - [c18]Lulu Wang, Jinglong Du, Huazheng Zhu, Zhongshi He, Yuanyuan Jia:
Brain MR Image Super-resolution using 3D Feature Attention Network. BIBM 2020: 1151-1155 - [c17]Xiaoyu Qiao, Jinglong Du, Lulu Wang, Zhongshi He, Yuanyuan Jia:
A Model-Based Deep Network for MRI Reconstruction Using Approximate Message Passing Algorithm. ICASSP 2020: 1105-1109
2010 – 2019
- 2019
- [j28]Fei Guo, Zhongshi He, Liangyan Li, Jing Xuan:
Unsupervised Learning of Multi-Sense Embedding with Matrix Factorization and Sparse Soft Clustering. Int. J. Pattern Recognit. Artif. Intell. 33(13): 1951011:1-1951011:22 (2019) - [j27]Haiyan Wang, Zhongshi He, Dingding Chen, Yongwen Huang, Yiman He:
Virtual Inpainting for Dazu Rock Carvings Based on a Sample Dataset. ACM Journal on Computing and Cultural Heritage 12(3): 20:1-20:17 (2019) - [c16]Ziyu Chen, Xingqiong Jiang, Yanchen Deng, Dingding Chen, Zhongshi He:
A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique. AAAI 2019: 6038-6045 - [c15]Lulu Wang, Jinglong Du, Ali Gholipour, Zhongshi He, Yuanyuan Jia:
Brain MRI Super-resolution Reconstruction using a Multi-level and Parallel Conv-Deconv Network. BIBM 2019: 885-891 - [i4]Ziyu Chen, Xingqiong Jiang, Yanchen Deng, Dingding Chen, Zhongshi He:
A Generic Approach for Accelerating Belief Propagation based DCOP Algorithms via A Branch-and-Bound Technique. CoRR abs/1906.06863 (2019) - [i3]Dingding Chen, Yanchen Deng, Ziyu Chen, Wenxin Zhang, Zhongshi He:
HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-based Inference. CoRR abs/1911.12716 (2019) - 2018
- [j26]Ziyu Chen, Yanchen Deng, Tengfei Wu, Zhongshi He:
A class of iterative refined Max-sum algorithms via non-consecutive value propagation strategies. Auton. Agents Multi Agent Syst. 32(6): 822-860 (2018) - [j25]Meifeng Shi, Zhongshi He, Ziyu Chen, Xin Liu:
A full variate Gaussian model-based RM-MEDA without clustering process. Int. J. Mach. Learn. Cybern. 9(10): 1591-1608 (2018) - [c14]Jinglong Du, Lulu Wang, Ali Gholipour, Zhongshi He, Yuanyuan Jia:
Accelerated Super-resolution MR Image Reconstruction via a 3D Densely Connected Deep Convolutional Neural Network. BIBM 2018: 349-355 - [c13]Yafeng Niu, Dongsheng Zou, Yadong Niu, Zhongshi He, Hua Tan:
Improvement on Speech Emotion Recognition Based on Deep Convolutional Neural Networks. ICCAI 2018: 13-18 - [c12]Zexun Zhou, Zhongshi He, Ziyu Chen, Yuanyuan Jia, Haiyan Wang, Jinglong Du, Dingding Chen, Lulu Wang, Jing Chen:
FHEDN: A context modeling Feature Hierarchy Encoder-Decoder Network for face detection. IJCNN 2018: 1-8 - 2017
- [j24]Yuanyuan Jia, Ali Gholipour, Zhongshi He, Simon K. Warfield:
A New Sparse Representation Framework for Reconstruction of an Isotropic High Spatial Resolution MR Volume From Orthogonal Anisotropic Resolution Scans. IEEE Trans. Medical Imaging 36(5): 1182-1193 (2017) - [i2]Yafeng Niu, Dongsheng Zou, Yadong Niu, Zhongshi He, Hua Tan:
A breakthrough in Speech emotion recognition using Deep Retinal Convolution Neural Networks. CoRR abs/1707.09917 (2017) - [i1]Zexun Zhou, Zhongshi He, Ziyu Chen, Yuanyuan Jia, Haiyan Wang, Jinglong Du, Dingding Chen:
FHEDN: A based on context modeling Feature Hierarchy Encoder-Decoder Network for face detection. CoRR abs/1712.03687 (2017) - 2016
- [j23]Gebeyehu Belay Gebremeskel, Chai Yi, Zhongshi He, Dawit Haile:
Combined data mining techniques based patient data outlier detection for healthcare safety. Int. J. Intell. Comput. Cybern. 9(1): 42-68 (2016) - [j22]Yinghao Li, Zhongshi He, Hao Zhu, Weiwei Zhang, Yuhao Wu:
Jointly registering and fusing images from multiple sensors. Inf. Fusion 27: 85-94 (2016) - [j21]Huazheng Zhu, Zhongshi He, Yuanyuan Jia:
An improved reference point based multi-objective optimization by decomposition. Int. J. Mach. Learn. Cybern. 7(4): 581-595 (2016) - [j20]Huazheng Zhu, Zhongshi He, Yuanyuan Jia:
A Novel Approach to Multiple Sequence Alignment Using Multiobjective Evolutionary Algorithm Based on Decomposition. IEEE J. Biomed. Health Informatics 20(2): 717-727 (2016) - [j19]Yuanyuan Jia, Zhongshi He, Ali Gholipour, Simon K. Warfield:
Single Anisotropic 3-D MR Image Upsampling via Overcomplete Dictionary Trained From In-Plane High Resolution Slices. IEEE J. Biomed. Health Informatics 20(6): 1552-1561 (2016) - [c11]Meifeng Shi, Zhongshi He, Ziyu Chen, Hang Zhang:
A novel Multi-objective Optimization-based Image Registration Method. GECCO 2016: 605-612 - 2015
- [j18]Gebeyehu Belay Gebremeskel, Chai Yi, Chengliang Wang, Zhongshi He:
Critical analysis of smart environment sensor data behavior pattern based on sequential data mining techniques. Ind. Manag. Data Syst. 115(6): 1151-1178 (2015) - [j17]Pu Zhang, Zhongshi He:
Using data-driven feature enrichment of text representation and ensemble technique for sentence-level polarity classification. J. Inf. Sci. 41(4): 531-549 (2015) - 2014
- [j16]Pu Zhang, Zhongshi He, Lina Tao:
A Study of Dependency Features for Chinese Sentiment Classification. J. Softw. 9(11): 2877-2885 (2014) - [j15]Weiwei Zhang, Gary G. Yen, Zhongshi He:
Constrained Optimization Via Artificial Immune System. IEEE Trans. Cybern. 44(2): 185-198 (2014) - 2013
- [j14]Hao Zhu, Henry Leung, Zhongshi He:
A variational Bayesian approach to robust sensor fusion based on Student-t distribution. Inf. Sci. 221: 201-214 (2013) - [j13]Pu Zhang, Zhongshi He:
A weakly supervised approach to Chinese sentiment classification using partitioned self-training. J. Inf. Sci. 39(6): 815-831 (2013) - [j12]Qi Cao, Zhongshi He:
Parameter optimization of simulation models for material supply in an emergent disaster based on support vector machine. Simul. 89(3): 392-406 (2013) - [j11]Hao Zhu, Henry Leung, Zhongshi He:
State Estimation in Unknown Non-Gaussian Measurement Noise using Variational Bayesian Technique. IEEE Trans. Aerosp. Electron. Syst. 49(4): 2601-2614 (2013) - 2012
- [j10]Shaobo Zhong, Zhongshi He:
Application of Particle Swarm Optimization Algorithm based on Classification Strategies to Grid Task Scheduling. J. Softw. 7(1): 118-124 (2012) - [j9]Zhongshi He, Xin Liu, Yinong Chen:
Secondary-diagonal mean transformation Partial Grey Model based on matrix series. Simul. Model. Pract. Theory 26: 168-184 (2012) - [j8]Hao Zhu, Zhongshi He, Henry Leung:
Simultaneous Feature and Model Selection for Continuous Hidden Markov Models. IEEE Signal Process. Lett. 19(5): 279-282 (2012) - 2011
- [j7]Dongsheng Zou, Zhongshi He, Jingyuan He, Yuxian Xia:
Supersecondary structure prediction using Chou's pseudo amino acid composition. J. Comput. Chem. 32(2): 271-278 (2011) - [j6]Dongsheng Zou, Zhongshi He, Yuan Yan:
Using an Ensemble of Support Vector Machine Classifiers to Predict Protein Supersecondary Structural Motifs. J. Comput. 6(10): 2053-2059 (2011) - [c10]Hector Llorens, Estela Saquete, Borja Navarro, Liu Li, Zhongshi He:
Data-Driven Approach Based on Semantic Roles for Recognizing Temporal Expressions and Events in Chinese. NLDB 2011: 88-99 - 2010
- [j5]Lei Yu, Zhongshi He, Qi Cao:
Gabor texture representation method for face recognition using the Gamma and generalized Gaussian models. Image Vis. Comput. 28(1): 177-187 (2010) - [c9]Ziyu Chen, Zhongshi He, Cheng Zhang:
Particle swarm optimizer with self-adjusting neighborhoods. GECCO 2010: 9-14
2000 – 2009
- 2009
- [j4]Dongsheng Zou, Zhongshi He, Jingyuan He:
beta-Hairpin prediction with quadratic discriminant analysis using diversity measure. J. Comput. Chem. 30(14): 2277-2284 (2009) - [c8]Haizhu Chen, Zhongshi He:
A Uniform Solution to HPP in Terms of Membrane Computing. AICI 2009: 59-68 - [c7]Houqun Yang, Zhongshi He, Xing Wu:
Mining Partially Labeled Subgraphs Using Support Constraints. FSKD (2) 2009: 458-462 - [c6]Ziyu Chen, Zhongshi He, Cheng Zhang:
The non-clique particle swarm optimizer. GEC Summit 2009: 61-66 - [c5]Yan Liang, Zhongshi He, Ying Liu:
A Strategy for SPN Detection Based on Biomimetic Pattern Recognition and Knowledge-Based Features. IEA/AIE 2009: 672-681 - [c4]Yongwen Huang, Zhongshi He, Haiyan Wang:
Optimization of Feature-Opinion Pairs in Chinese Customer Reviews. IEA/AIE 2009: 747-756 - 2005
- [j3]Dezheng Xie, Zhongshi He:
The total chromatic number of regular graphs of even order and high degree. Discret. Math. 300(1-3): 196-212 (2005) - 2004
- [j2]Yinong Chen, Zhongshi He:
Bounds on the reliability of distributed systems with unreliable nodes & links. IEEE Trans. Reliab. 53(2): 205-215 (2004) - 2003
- [j1]Yinong Chen, Zhongshi He:
The Simulation of a Highly Dependable Distributed Computing Environment. Simul. 79(5-6): 316-327 (2003) - [c3]Yinong Chen, Zhongshi He:
Simulating Highly Dependable Applications in a Distributed Computing Environment. Annual Simulation Symposium 2003: 101-108 - 2001
- [c2]Yinong Chen, Zhongshi He:
Dependability Modeling of Homogeneous and Heterogeneous Distributed Systems. ISADS 2001: 176-186
1990 – 1999
- 1996
- [c1]Xiaofan Yang, Tinghuai Chen, Zehan Cao, Zhongshi He, Hongqing Cao:
A New Scheme For The Fault Diagnosis Of Multiprocessor Systems. Asian Test Symposium 1996: 289-294
Coauthor Index
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last updated on 2024-10-18 19:33 CEST by the dblp team
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