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2020 – today
- 2024
[j8]Yi Zhu
, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander J. Smola:
Improving Semantic Segmentation via Efficient Self-Training. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1589-1602 (2024)- [c8]Chao Liu, Chi San (Clarence) Cheung, Mingqing Xu, Zhongyue Zhang, Mingyang Su, Mingming Fan:
Toward Facilitating Search in VR With the Assistance of Vision Large Language Models. VRST 2024: 35:1-35:14 - [i9]Zhongyue Zhang, Lina Xu, Xingkai Wang, Xu Zhang, Mingming Fan:
Understanding and Co-designing Photo-based Reminiscence with Older Adults. CoRR abs/2411.00351 (2024) - 2023
- [c7]Sinan Li, Yiting Zhang, Zhongyue Zhang, Danyang Bao, Xuewei Pan:
A Family of High Gain Converters Based on Switched Inductor and Switched Capacitor Units. IECON 2023: 1-6 - 2022
- [j7]Zhongyue Zhang, Hua Chai, Yi Wang, Zixiang Pan, Yuedong Yang:
Cancer survival prognosis with Deep Bayesian Perturbation Cox Network. Comput. Biol. Medicine 141: 105012 (2022) - [j6]Huixing Zhou, Chongwen Xu, Xiuying Tang, Shun Wang, Zhongyue Zhang:
A Review of Vision-Laser-Based Civil Infrastructure Inspection and Monitoring. Sensors 22(15): 5882 (2022) - [c6]Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Haibin Lin, Zhi Zhang, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola:
ResNeSt: Split-Attention Networks. CVPR Workshops 2022: 2735-2745 - [c5]Hua Chai, Long-Yi Guo, Minfan He, Zhongyue Zhang, Yuedong Yang:
A Multi-constraint Deep Semi-supervised Learning Method for Ovarian Cancer Prognosis Prediction. ICSI (2) 2022: 219-229 - 2021
- [j5]Hua Chai, Xiang Zhou, Zhongyue Zhang, Jiahua Rao, Huiying Zhao, Yuedong Yang:
Integrating multi-omics data through deep learning for accurate cancer prognosis prediction. Comput. Biol. Medicine 134: 104481 (2021) - [j4]Hua Chai, Zhongyue Zhang, Yi Wang, Yuedong Yang:
Predicting bladder cancer prognosis by integrating multi-omics data through a transfer learning-based Cox proportional hazards network. CCF Trans. High Perform. Comput. 3(3): 311-319 (2021) - [c4]Yi Wang, Zhongyue Zhang, Hua Chai, Yuedong Yang:
Multi-omics Cancer Prognosis Analysis Based on Graph Convolution Network. BIBM 2021: 1564-1568 - 2020
- [j3]Shuangjia Zheng, Jiahua Rao, Zhongyue Zhang, Jun Xu, Yuedong Yang:
Predicting Retrosynthetic Reactions Using Self-Corrected Transformer Neural Networks. J. Chem. Inf. Model. 60(1): 47-55 (2020) - [j2]Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng, Yi Zhu:
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. J. Mach. Learn. Res. 21: 23:1-23:7 (2020) - [i8]Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Zhi Zhang, Haibin Lin, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola:
ResNeSt: Split-Attention Networks. CoRR abs/2004.08955 (2020) - [i7]Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander J. Smola:
Improving Semantic Segmentation via Self-Training. CoRR abs/2004.14960 (2020)
2010 – 2019
- 2019
- [c3]Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li:
Bag of Tricks for Image Classification with Convolutional Neural Networks. CVPR 2019: 558-567 - [i6]Zhi Zhang, Tong He, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li:
Bag of Freebies for Training Object Detection Neural Networks. CoRR abs/1902.04103 (2019) - [i5]Shuangjia Zheng, Jiahua Rao, Zhongyue Zhang, Jun Xu, Yuedong Yang:
Predicting Retrosynthetic Reaction using Self-Corrected Transformer Neural Networks. CoRR abs/1907.01356 (2019) - [i4]Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng:
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. CoRR abs/1907.04433 (2019) - 2018
- [c2]Hang Zhang, Kristin J. Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, Amit Agrawal:
Context Encoding for Semantic Segmentation. CVPR 2018: 7151-7160 - [i3]Hang Zhang, Kristin J. Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, Amit Agrawal:
Context Encoding for Semantic Segmentation. CoRR abs/1803.08904 (2018) - [i2]Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li:
Bag of Tricks for Image Classification with Convolutional Neural Networks. CoRR abs/1812.01187 (2018) - 2016
- [j1]James McQueen, Marina Meila, Jacob VanderPlas, Zhongyue Zhang:
Megaman: Scalable Manifold Learning in Python. J. Mach. Learn. Res. 17: 148:1-148:5 (2016) - [i1]James McQueen, Marina Meila, Jacob VanderPlas, Zhongyue Zhang:
megaman: Manifold Learning with Millions of points. CoRR abs/1603.02763 (2016) - 2013
- [c1]Jianqiang Tang, Zhongyue Zhang, Ying Liu, Hongke Zhang:
Identifying Interest Flooding in Named Data Networking. GreenCom/iThings/CPScom 2013: 306-310
Coauthor Index
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