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2020 – today
- 2024
[j8]Aishwarya Budhkar, Ziyang Tang, Xiang Liu, Xuhong Zhang
, Jing Su, Qianqian Song:
xSiGra: explainable model for single-cell spatial data elucidation. Briefings Bioinform. 25(5) (2024)- [j7]Zuotian Li, Xiang Liu, Ziyang Tang, Nanxin Jin, Pengyue Zhang, Michael Eadon, Qianqian Song, Yingjie V. Chen, Jing Su:
TrajVis: a visual clinical decision support system to translate artificial intelligence trajectory models in the precision management of chronic kidney disease. J. Am. Medical Informatics Assoc. 31(11): 2474-2485 (2024) - [j6]Ziyang Tang, Yuli Sun, Chenfang Liu, Yanjie Xu, Lin Lei:
Simulated Data-Guided Incremental SAR ATR Through Feature Aggregation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 13602-13615 (2024) - [i13]Zuotian Li, Xiang Liu, Ziyang Tang, Pengyue Zhang, Nanxin Jin, Michael Eadon, Qianqian Song, Yingjie Chen, Jing Su:
TrajVis: a visual clinical decision support system to translate artificial intelligence trajectory models in the precision management of chronic kidney disease. CoRR abs/2401.08067 (2024) - 2023
- [j5]Ziyang Tang, Tonglin Zhang, Baijian Yang, Jing Su, Qianqian Song:
spaCI: deciphering spatial cellular communications through adaptive graph model. Briefings Bioinform. 24(1) (2023) - [j4]Ziyang Tang, Xiang Liu, Zuotian Li, Tonglin Zhang, Baijian Yang, Jing Su, Qianqian Song:
SpaRx: elucidate single-cell spatial heterogeneity of drug responses for personalized treatment. Briefings Bioinform. 24(6) (2023) - [c18]Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Justin Yang:
Improved Clustering Using Nice Initialization. GLOBECOM 2023: 320-325 - [c17]Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang, Qianqian Song, Jing Su:
Feature Selection for Unsupervised Machine Learning. SmartCloud 2023: 164-169 - 2022
- [j3]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:
Uncovering Brain Differences in Preschoolers and Young Adolescents with Autism Spectrum Disorder Using Deep Learning. Int. J. Neural Syst. 32(9): 2250044:1-2250044:11 (2022) - [c16]Ziyang Tang, Yiheng Duan, Steven Zhu, Stephanie Zhang, Lihong Li:
Estimating Long-term Effects from Experimental Data. RecSys 2022: 516-518 - [i12]Ziyang Tang, Yihao Feng, Qiang Liu:
Operator Deep Q-Learning: Zero-Shot Reward Transferring in Reinforcement Learning. CoRR abs/2201.00236 (2022) - [i11]Liu Liu, Ziyang Tang, Lanqing Li, Dijun Luo:
Robust Imitation Learning from Corrupted Demonstrations. CoRR abs/2201.12594 (2022) - [i10]Xing Han, Ziyang Tang, Joydeep Ghosh, Qiang Liu:
Split Localized Conformal Prediction. CoRR abs/2206.13092 (2022) - [i9]Ziyang Tang, Yiheng Duan, Stephanie Zhang, Lihong Li:
A Reinforcement Learning Approach to Estimating Long-term Treatment Effects. CoRR abs/2210.07536 (2022) - 2021
- [j2]Weitao Tang, Corey M. Vian, Ziyang Tang, Baijian Yang:
Anomaly detection of core failures in die casting X-ray inspection images using a convolutional autoencoder. Mach. Vis. Appl. 32(4): 102 (2021) - [c15]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:
PASC CKD: revealing the progression trajectories of sustained COVID-19-related renal injury using real-world evidence. AMIA 2021 - [c14]Ziyang Tang, Qianqian Song, Jing Su, Baijian Yang:
ADNet: Identify biomarkers of Alzheimer Disease with MRI and EMR data using Deep Neural Networks. AMIA 2021 - [c13]Yihao Feng, Ziyang Tang, Na Zhang, Qiang Liu:
Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds. ICLR 2021 - [i8]Yihao Feng, Ziyang Tang, Na Zhang, Qiang Liu:
Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds. CoRR abs/2103.05741 (2021) - 2020
- [c12]Ziyang Tang, Yihao Feng, Lihong Li, Dengyong Zhou, Qiang Liu:
Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation. ICLR 2020 - [c11]Yihao Feng, Tongzheng Ren, Ziyang Tang, Qiang Liu:
Accountable Off-Policy Evaluation With Kernel Bellman Statistics. ICML 2020: 3102-3111 - [c10]Ziyang Tang, Xiang Liu, Baijian Yang:
PENet: Object Detection Using Points Estimation in High Definition Aerial Images. ICMLA 2020: 392-398 - [c9]Ziyang Tang, Yihao Feng, Na Zhang, Jian Peng, Qiang Liu:
Off-Policy Interval Estimation with Lipschitz Value Iteration. NeurIPS 2020 - [c8]Weitao Tang, Xiang Liu, Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang:
HOOD: High-Order Orthogonal Decomposition for Tensors. SmartCom 2020: 87-96 - [i7]Ziyang Tang, Xiang Liu, Guangyu Shen, Baijian Yang:
PENet: Object Detection using Points Estimation in Aerial Images. CoRR abs/2001.08247 (2020) - [i6]Yihao Feng, Tongzheng Ren, Ziyang Tang, Qiang Liu:
Accountable Off-Policy Evaluation With Kernel Bellman Statistics. CoRR abs/2008.06668 (2020) - [i5]Ziyang Tang, Yihao Feng, Na Zhang, Jian Peng, Qiang Liu:
Off-Policy Interval Estimation with Lipschitz Value Iteration. CoRR abs/2010.15392 (2020)
2010 – 2019
- 2019
- [c7]Xiang Liu, Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang:
Sparse Block Regression (SBR) for Big Data with Categorical Variables. IEEE BigData 2019: 221-226 - [c6]Xiang Liu, Ziyang Tang, Baijian Yang:
Predicting Network Attacks with CNN by Constructing Images from NetFlow Data. BigDataSecurity/HPSC/IDS 2019: 61-66 - [c5]Xiang Liu, Ziyang Tang, Huyunting Huang, Tonglin Zhang, Baijian Yang:
Multiple Learning for Regression in Big Data. ICMLA 2019: 587-594 - [c4]Dilin Wang, Ziyang Tang, Chandrajit Bajaj, Qiang Liu:
Stein Variational Gradient Descent With Matrix-Valued Kernels. NeurIPS 2019: 7834-7844 - [c3]Ziyang Tang, Xiang Liu, Yingjie Victor Chen, Baijian Yang:
The Role of Multiple Representations and Representational Fluency in Cryptography Education. SIGITE 2019: 75-80 - [i4]Xiang Liu, Ziyang Tang, Huyunting Huang, Tonglin Zhang, Baijian Yang:
Multiple Learning for Regression in big data. CoRR abs/1903.00843 (2019) - [i3]Ziyang Tang, Yihao Feng, Lihong Li, Dengyong Zhou, Qiang Liu:
Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation. CoRR abs/1910.07186 (2019) - [i2]Dilin Wang, Ziyang Tang, Chandrajit Bajaj, Qiang Liu:
Stein Variational Gradient Descent With Matrix-Valued Kernels. CoRR abs/1910.12794 (2019) - 2018
- [c2]Qiang Liu, Lihong Li, Ziyang Tang, Dengyong Zhou:
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation. NeurIPS 2018: 5361-5371 - [i1]Qiang Liu, Lihong Li, Ziyang Tang, Dengyong Zhou:
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation. CoRR abs/1810.12429 (2018) - 2016
- [j1]Hao Chen, Zihan Lei, Tian Liu, Ziyang Tang, Chaoyi Wang, Ke Xu:
Complexity of domination, hamiltonicity and treewidth for tree convex bipartite graphs. J. Comb. Optim. 32(1): 95-110 (2016) - 2014
- [c1]Chaoyi Wang, Hao Chen, Zihan Lei, Ziyang Tang, Tian Liu, Ke Xu:
Tree Convex Bipartite Graphs: NP -Complete Domination, Hamiltonicity and Treewidth. FAW 2014: 252-263
Coauthor Index
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