Jian Zhang - RankMe

46 papers A* 5Misc 1Journal 36Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AWMA-MoE: Attention-Guided Watermark Adapter with MoE for Latent Diffusion Models. WWW Yicheng Huang, Xinyu Xiao, Jian Zhang, Shuhan Qi, Yulin Wu, Xuan Wang
2026	A*	`conf`	Contextual Structure-Enhanced Selective Graph Convolutional Network. WWW Shifei Ding, Fangchen Li, Lili Guo, Jian Zhang
2026	A*	`conf`	Multi-view Hierarchical Graph Contrastive Learning based on Asynchronous Asymmetric Structure. WWW Chuangui Cao, Shifei Ding, Jian Zhang, Lili Guo, Xuan Li
2025	J	`jnl`	Multi-Agent policy gradients with dynamic weighted value decomposition. Pattern Recognit. Shifei Ding, Xiaomin Dong, Jian Zhang, Lili Guo, Wei Du, Chenglong Zhang
2025	J	`jnl`	Multi-channel set polynomial based label regularized graph neural networks against extreme data scarcity. Pattern Recognit. Jingxiao Zhang, Shifei Ding, Jian Zhang, Lili Guo, Ling Ding
2025	J	`jnl`	Multiagent Reinforcement Learning With Graphical Mutual Information Maximization. IEEE Trans. Neural Networks Learn. Syst. Shifei Ding, Wei Du, Ling Ding, Jian Zhang, Lili Guo, Bo An
2024	J	`jnl`	A novel image denoising algorithm combining attention mechanism and residual UNet network. Knowl. Inf. Syst. Shifei Ding, Qidong Wang, Lili Guo, Jian Zhang, Ling Ding
2024	J	`jnl`	Better value estimation in Q-learning-based multi-agent reinforcement learning. Soft Comput. Ling Ding, Wei Du, Jian Zhang, Lili Guo, Chenglong Zhang, Di Jin, Shifei Ding
2024	A*	`conf`	Expressive Multi-Agent Communication via Identity-Aware Learning. AAAI Wei Du, Shifei Ding, Lili Guo, Jian Zhang, Ling Ding
2024	J	`jnl`	Graph-Based Semi-Supervised Deep Image Clustering With Adaptive Adjacency Matrix. IEEE Trans. Neural Networks Learn. Syst. Shifei Ding, Haiwei Hou, Xiao Xu, Jian Zhang, Lili Guo, Ling Ding
2024	J	`jnl`	Label-Specific Time-Frequency Energy-Based Neural Network for Instrument Recognition. IEEE Trans. Cybern. Jian Zhang, Tong Wei, Min-Ling Zhang
2024	A*	`conf`	Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck. AAAI Shifei Ding, Wei Du, Ling Ding, Lili Guo, Jian Zhang
2024	—	`conf`	PatchTCN: Patch-Based Transformer Convolutional Network for Times Series Analysis. ISCAI Jian Zhang, Lili Guo, Lei Song, Song Gao, Chuanzhu Hao, XuZhi Li
2024	J	`jnl`	Remaining useful life prediction under variable operating conditions via multisource adversarial domain adaptation networks. Appl. Soft Comput. Junrong Du, Lei Song, Xuanang Gui, Jian Zhang, Lili Guo, XuZhi Li
2024	J	`jnl`	Robust Multi-Agent Communication With Graph Information Bottleneck Optimization. IEEE Trans. Pattern Anal. Mach. Intell. Shifei Ding, Wei Du, Ling Ding, Jian Zhang, Lili Guo, Bo An
2023	J	`jnl`	A Sampling-Based Density Peaks Clustering Algorithm for Large-Scale Data. Pattern Recognit. Shifei Ding, Chao Li, Xiao Xu, Ling Ding, Jian Zhang, Lili Guo, Tianhao Shi
2023	J	`jnl`	A novel capsule network based on deep routing and residual learning. Soft Comput. Jian Zhang, Qinghai Xu, Lili Guo, Ling Ding, Shifei Ding
2023	J	`jnl`	Botnet DGA Domain Name Classification Using Transformer Network with Hybrid Embedding. Big Data Res. Ling Ding, Peng Du, Haiwei Hou, Jian Zhang, Di Jin, Shifei Ding
2023	J	`jnl`	FEMRNet: Feature-enhanced multi-scale residual network for image denoising. Appl. Intell. Xiao Xu, Qidong Wang, Lili Guo, Jian Zhang, Shifei Ding
2023	J	`jnl`	Incremental Multilayer Broad Learning System With Stochastic Configuration Algorithm for Regression. IEEE Trans. Cogn. Dev. Syst. Shifei Ding, Chenglong Zhang, Jian Zhang, Lili Guo, Ling Ding
2023	J	`jnl`	Learning from hybrid labels with partial labels via hybrid-grained contrast regularization. Appl. Soft Comput. Xinzheng Xu, Jian Zhang, Zhongnian Li
2023	J	`jnl`	Maximum density minimum redundancy based hypergraph regularized support vector regression. Int. J. Mach. Learn. Cybern. Shifei Ding, Yuting Sun, Jian Zhang, Lili Guo, Xiao Xu, Zichen Zhang
2023	J	`jnl`	Multi-agent dueling Q-learning with mean field and value decomposition. Pattern Recognit. Shifei Ding, Wei Du, Ling Ding, Lili Guo, Jian Zhang, Bo An
2023	Misc	`conf`	SFEMGN: Image Denoising with Shallow Feature Enhancement Network and Multi-Scale ConvGRU. ICASSP Qidong Wang, Lili Guo, Shifei Ding, Jian Zhang, Xiao Xu
2022	J	`jnl`	A Gaussian RBM with binary auxiliary units. Int. J. Mach. Learn. Cybern. Jian Zhang, Shifei Ding, Tongfeng Sun, Lili Guo
2022	J	`jnl`	Broad learning system based ensemble deep model. Soft Comput. Chenglong Zhang, Shifei Ding, Lili Guo, Jian Zhang
2022	J	`jnl`	Complementary Labels Learning with Augmented Classes. CoRR Zhongnian Li, Jian Zhang, Mengting Xu, Xinzheng Xu, Daoqiang Zhang
2022	J	`jnl`	Mechanism Analysis and Self-Adaptive RBFNN Based Hybrid Soft Sensor Model in Energy Production Process: A Case Study. Sensors Junrong Du, Jian Zhang, Laishun Yang, XuZhi Li, Lili Guo, Lei Song
2022	J	`jnl`	Value function factorization with dynamic weighting for deep multi-agent reinforcement learning. Inf. Sci. Wei Du, Shifei Ding, Lili Guo, Jian Zhang, Chenglong Zhang, Ling Ding
2020	J	`jnl`	Adversarial Training Methods for Boltzmann Machines. IEEE Access Jian Zhang, Shifei Ding, Nan Zhang, Weikuan Jia
2020	J	`jnl`	An adversarial non-volume preserving flow model with Boltzmann priors. Int. J. Mach. Learn. Cybern. Jian Zhang, Shifei Ding, Weikuan Jia
2020	J	`jnl`	Robust spike-and-slab deep Boltzmann machines for face denoising. Neural Comput. Appl. Nan Zhang, Shifei Ding, Jian Zhang, Xingyu Zhao
2019	J	`jnl`	A review on multi-class TWSVM. Artif. Intell. Rev. Shifei Ding, Xingyu Zhao, Jian Zhang, Xiekai Zhang, Yu Xue
2018	J	`jnl`	An overview on Restricted Boltzmann Machines. Neurocomputing Nan Zhang, Shifei Ding, Jian Zhang, Yu Xue
2018	J	`jnl`	An overview on probability undirected graphs and their applications in image processing. Neurocomputing Jian Zhang, Shifei Ding, Nan Zhang
2018	—	`conf`	Multi-view Restricted Boltzmann Machines with Posterior Consistency. IIP Shifei Ding, Nan Zhang, Jian Zhang
2018	J	`jnl`	Research of stacked denoising sparse autoencoder. Neural Comput. Appl. Lingheng Meng, Shifei Ding, Nan Zhang, Jian Zhang
2017	J	`jnl`	Research on Point-wise Gated Deep Networks. Appl. Soft Comput. Nan Zhang, Shifei Ding, Jian Zhang, Yu Xue
2017	J	`jnl`	Unsupervised extreme learning machine with representational features. Int. J. Mach. Learn. Cybern. Shifei Ding, Nan Zhang, Jian Zhang, Xinzheng Xu, Zhongzhi Shi
2016	J	`jnl`	A wavelet extreme learning machine. Neural Comput. Appl. Shifei Ding, Jian Zhang, Xinzheng Xu, Yanan Zhang
2016	J	`jnl`	An Adaptive Density Data Stream Clustering Algorithm. Cogn. Comput. Shifei Ding, Jian Zhang, Hongjie Jia, Jun Qian
2016	—	`conf`	Boltzmann Machine and its Applications in Image Recognition. IIP Shifei Ding, Jian Zhang, Nan Zhang, Yanlu Hou
2016	J	`jnl`	Incremental extreme learning machine based on deep feature embedded. Int. J. Mach. Learn. Cybern. Jian Zhang, Shifei Ding, Nan Zhang, Zhongzhi Shi
2016	J	`jnl`	Multi layer ELM-RBF for multi-label learning. Appl. Soft Comput. Nan Zhang, Shifei Ding, Jian Zhang
2016	J	`jnl`	Weight Uncertainty in Boltzmann Machine. Cogn. Comput. Jian Zhang, Shifei Ding, Nan Zhang, Yu Xue
2004	—	`conf`	Neural Field Model for Perceptual Learning. IEEE ICCI Zhongzhi Shi, Youping Huang, Jian Zhang