Ziyang Tang

According to our database, Ziyang Tang authored at least 32 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Simulated Data-Guided Incremental SAR ATR Through Feature Aggregation.

Ziyang Tang, Yuli Sun, Chenfang Liu, Yanjie Xu, Lin Lei

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

TrajVis: a visual clinical decision support system to translate artificial intelligence trajectory models in the precision management of chronic kidney disease.

Zuotian Li, Xiang Liu, Ziyang Tang, Nanxin Jin, Pengyue Zhang, Michael Eadon, Qianqian Song, Yingjie V. Chen, Jing Su

J. Am. Medical Informatics Assoc., 2024

TrajVis: a visual clinical decision support system to translate artificial intelligence trajectory models in the precision management of chronic kidney disease.

Zuotian Li, Xiang Liu, Ziyang Tang, Pengyue Zhang, Nanxin Jin, Michael Eadon, Qianqian Song, Yingjie Chen, Jing Su

CoRR, 2024

xSiGra: explainable model for single-cell spatial data elucidation.

Aishwarya Budhkar, Ziyang Tang, Xiang Liu, Xuhong Zhang, Jing Su, Qianqian Song

Briefings Bioinform., 2024

2023

SpaRx: elucidate single-cell spatial heterogeneity of drug responses for personalized treatment.

Ziyang Tang, Xiang Liu, Zuotian Li, Tonglin Zhang, Baijian Yang, Jing Su, Qianqian Song

Briefings Bioinform., September, 2023

spaCI: deciphering spatial cellular communications through adaptive graph model.

Ziyang Tang, Tonglin Zhang, Baijian Yang, Jing Su, Qianqian Song

Briefings Bioinform., January, 2023

Feature Selection for Unsupervised Machine Learning.

Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang, Qianqian Song, Jing Su

Proceedings of the 8th IEEE International Conference on Smart Cloud, 2023

Improved Clustering Using Nice Initialization.

Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Justin Yang

Proceedings of the IEEE Global Communications Conference, 2023

2022

Uncovering Brain Differences in Preschoolers and Young Adolescents with Autism Spectrum Disorder Using Deep Learning.

Shijun Li, Ziyang Tang, Nanxin Jin, Qiansu Yang, Gang Liu, Tiefang Liu, Jianxing Hu, Sijun Liu, Ping Wang, Jingru Hao, Zhiqiang Zhang, Xiaojing Zhang, Jinfeng Li, Xin Wang, Zhenzhen Li, Yi Wang, Baijian Yang, Lin Ma

Int. J. Neural Syst., 2022

A Reinforcement Learning Approach to Estimating Long-term Treatment Effects.

Ziyang Tang, Yiheng Duan, Stephanie Zhang, Lihong Li

CoRR, 2022

Split Localized Conformal Prediction.

Xing Han, Ziyang Tang, Joydeep Ghosh, Qiang Liu

CoRR, 2022

Robust Imitation Learning from Corrupted Demonstrations.

Liu Liu, Ziyang Tang, Lanqing Li, Dijun Luo

CoRR, 2022

Operator Deep Q-Learning: Zero-Shot Reward Transferring in Reinforcement Learning.

Ziyang Tang, Yihao Feng, Qiang Liu

CoRR, 2022

Estimating Long-term Effects from Experimental Data.

Ziyang Tang, Yiheng Duan, Steven Zhu, Stephanie Zhang, Lihong Li

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021

Anomaly detection of core failures in die casting X-ray inspection images using a convolutional autoencoder.

Weitao Tang, Corey M. Vian, Ziyang Tang, Baijian Yang

Mach. Vis. Appl., 2021

Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds.

Yihao Feng, Ziyang Tang, Na Zhang, Qiang Liu

Proceedings of the 9th International Conference on Learning Representations, 2021

ADNet: Identify biomarkers of Alzheimer Disease with MRI and EMR data using Deep Neural Networks.

Ziyang Tang, Qianqian Song, Jing Su, Baijian Yang

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

PASC CKD: revealing the progression trajectories of sustained COVID-19-related renal injury using real-world evidence.

Jing Su, Pengyue Zhang, Zuoyi Zhang, Michael Eadon, Xiaochun Li, Tian He, Stanley Taylor, Travis Johnson, Zhaorui Liu, Ziyang Tang, Baijian Yang, Qianqian Song, Kun Huang

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

PENet: Object Detection using Points Estimation in Aerial Images.

Ziyang Tang, Xiang Liu, Guangyu Shen, Baijian Yang

CoRR, 2020

HOOD: High-Order Orthogonal Decomposition for Tensors.

Weitao Tang, Xiang Liu, Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang

Proceedings of the Smart Computing and Communication - 5th International Conference, 2020

Off-Policy Interval Estimation with Lipschitz Value Iteration.

Ziyang Tang, Yihao Feng, Na Zhang, Jian Peng, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

PENet: Object Detection Using Points Estimation in High Definition Aerial Images.

Ziyang Tang, Xiang Liu, Baijian Yang

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Accountable Off-Policy Evaluation With Kernel Bellman Statistics.

Yihao Feng, Tongzheng Ren, Ziyang Tang, Qiang Liu

Proceedings of the 37th International Conference on Machine Learning, 2020

Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation.

Ziyang Tang, Yihao Feng, Lihong Li, Dengyong Zhou, Qiang Liu

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

The Role of Multiple Representations and Representational Fluency in Cryptography Education.

Ziyang Tang, Xiang Liu, Yingjie Victor Chen, Baijian Yang

Proceedings of the 20th Annual SIG Conference on Information Technology Education, 2019

Stein Variational Gradient Descent With Matrix-Valued Kernels.

Dilin Wang, Ziyang Tang, Chandrajit Bajaj, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Multiple Learning for Regression in Big Data.

Xiang Liu, Ziyang Tang, Huyunting Huang, Tonglin Zhang, Baijian Yang

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Predicting Network Attacks with CNN by Constructing Images from NetFlow Data.

Xiang Liu, Ziyang Tang, Baijian Yang

Proceedings of the 5th IEEE International Conference on Big Data Security on Cloud, 2019

Sparse Block Regression (SBR) for Big Data with Categorical Variables.

Xiang Liu, Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation.

Qiang Liu, Lihong Li, Ziyang Tang, Dengyong Zhou

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

Complexity of domination, hamiltonicity and treewidth for tree convex bipartite graphs.

Hao Chen, Zihan Lei, Tian Liu, Ziyang Tang, Chaoyi Wang, Ke Xu

J. Comb. Optim., 2016

2014

Tree Convex Bipartite Graphs: <i>NP</i> -Complete Domination, Hamiltonicity and Treewidth.

Chaoyi Wang, Hao Chen, Zihan Lei, Ziyang Tang, Tian Liu, Ke Xu

Proceedings of the Frontiers in Algorithmics - 8th International Workshop, 2014