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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j19]Yile Ao
, Fei Tian, Wenkai Lu, Bowu Jiang:
Improving Logging-While-Drilling Azimuthal Imaging With Deep Learning Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 63: 1-15 (2025)- 2024
- [j18]Fei Tian:
Denoising Monte Carlo rendering models combined with JDKPNet in artistic design application scenarios. Intell. Syst. Appl. 22: 200338 (2024) - [j17]Yi Liu, Samuel Ortega-Farías, Yunfei Fan, Yu Hou, Sufen Wang, Weicai Yang, Sien Li, Fei Tian:
Comparison of Differences in Actual Cropland Evapotranspiration under Two Irrigation Methods Using Satellite-Based Model. Remote. Sens. 16(1): 175 (2024) - [j16]Yaling Zhang, Xueyi Yang, Fei Tian:
Study on Soil Moisture Status of Soybean and Corn across the Whole Growth Period Based on UAV Multimodal Remote Sensing. Remote. Sens. 16(17): 3166 (2024) - 2023
- [j15]Xueyi Yang, Xiaojing Shi, Yaling Zhang, Fei Tian, Samuel Ortega-Farías:
Response of Evapotranspiration (ET) to Climate Factors and Crop Planting Structures in the Shiyang River Basin, Northwestern China. Remote. Sens. 15(16): 3923 (2023) - [c38]Juntao Chen, Jinmei Zhan, Fei Tian:
Research on the Construction of a Data Warehouse Model for College Student Performance. ICPCSEE (2) 2023: 408-419 - 2022
- [j14]Juanjuan Gao, Chong Lyu, Xianhua Qiao, Fei Tian:
Telemedicine virtual reality based skin image in children's dermatology medical system. Comput. Intell. 38(1): 229-248 (2022) - [j13]Wenjuan Li, Fei Tian, Jin Li, Yang Xiang:
Evaluating intrusion sensitivity allocation with supervised learning in collaborative intrusion detection. Concurr. Comput. Pract. Exp. 34(16) (2022) - [j12]Hua Yang, Fei Tian, Qi Qi, Q. M. Jonathan Wu, Kunqian Li:
Underwater image enhancement with latent consistency learning-based color transfer. IET Image Process. 16(6): 1594-1612 (2022) - [j11]Saihong Lu, Junjie Xuan, Tong Zhang, Xueer Bai, Fei Tian, Samuel Ortega-Farías:
Effect of the Shadow Pixels on Evapotranspiration Inversion of Vineyard: A High-Resolution UAV-Based and Ground-Based Remote Sensing Measurements. Remote. Sens. 14(9): 2259 (2022) - [j10]Qi Qi, Yongchang Zhang, Fei Tian, Q. M. Jonathan Wu, Kunqian Li, Xin Luan, Dalei Song:
Underwater Image Co-Enhancement With Correlation Feature Matching and Joint Learning. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1133-1147 (2022) - [c37]Fei Tian:
Research on personalized resource recommendation algorithm for parent education. ISCSIC 2022: 123-126 - 2021
- [j9]Xun Li, Allen H. Tai, Fei Tian:
A discrete-time mean-field stochastic linear-quadratic optimal control problem with financial application. Int. J. Control 94(1): 175-189 (2021) - [c36]Zhibo Liu, Baoliang Dong, Fei Tian:
A controllable historical message playback method and application of message middleware. CSSE 2021: 43-48 - 2020
- [j8]Fei Tian, Yu Zhang:
Spatiotemporal patterns of evapotranspiration, gross primary productivity, and water use efficiency of cropland in agroecosystems and their relation to the water-saving project in the Shiyang River Basin of Northwestern China. Comput. Electron. Agric. 172: 105379 (2020) - [j7]Yang Fan, Fei Tian, Yingce Xia, Tao Qin, Xiang-Yang Li, Tie-Yan Liu:
Searching Better Architectures for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1574-1585 (2020)
2010 – 2019
- 2019
- [j6]Tong Zhang, Mengjie Hou, Lu Liu, Fei Tian:
Estimation of transpiration and canopy cover of winter wheat under different fertilization levels using thermal infrared and visible imagery. Comput. Electron. Agric. 165 (2019) - [c35]Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Non-Autoregressive Machine Translation with Auxiliary Regularization. AAAI 2019: 5377-5384 - [c34]Yingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He, Tao Qin:
Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder. AAAI 2019: 5466-5473 - [c33]Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Depth Growing for Neural Machine Translation. ACL (1) 2019: 5558-5563 - [c32]Fei Tian, Shilin Cui:
Design and Implementation of the Image Processing Software Based on the Infrared Image Feature Matching. CSIA 2019: 37-42 - [c31]Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu:
Hint-Based Training for Non-Autoregressive Machine Translation. EMNLP/IJCNLP (1) 2019: 5707-5712 - [c30]Yiren Wang, Yingce Xia, Tianyu He, Fei Tian, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Multi-Agent Dual Learning. ICLR (Poster) 2019 - [c29]Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Neural Machine Translation with Soft Prototype. NeurIPS 2019: 6313-6322 - [c28]Yingce Xia, Xu Tan, Fei Tian, Fei Gao, Di He, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin, Tie-Yan Liu:
Microsoft Research Asia's Systems for WMT19. WMT (2) 2019: 424-433 - [i18]Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Non-Autoregressive Machine Translation with Auxiliary Regularization. CoRR abs/1902.10245 (2019) - [i17]Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Depth Growing for Neural Machine Translation. CoRR abs/1907.01968 (2019) - [i16]Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu:
Hint-Based Training for Non-Autoregressive Machine Translation. CoRR abs/1909.06708 (2019) - [i15]Yingce Xia, Xu Tan, Fei Tian, Fei Gao, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin, Tie-Yan Liu:
Microsoft Research Asia's Systems for WMT19. CoRR abs/1911.06191 (2019) - 2018
- [j5]Fei Tian, Tao Qin, Tie-Yan Liu:
Computational pricing in Internet era. Frontiers Comput. Sci. 12(1): 40-54 (2018) - [c27]Lijun Wu, Fei Tian, Li Zhao, Jianhuang Lai, Tie-Yan Liu:
Word Attention for Sequence to Sequence Text Understanding. AAAI 2018: 5578-5585 - [c26]Lijun Wu, Yingce Xia, Fei Tian, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Adversarial Neural Machine Translation. ACML 2018: 534-549 - [c25]Xiaolan Zhang, Yeting Li, Fei Tian, Fanlin Cui, Chunmei Dong, Haiming Chen:
Inferring Regular Expressions with Interleaving from XML Data. APWeb/WAIM (2) 2018: 44-52 - [c24]Lijun Wu, Xu Tan, Di He, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter. EMNLP 2018: 3602-3611 - [c23]Lijun Wu, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
A Study of Reinforcement Learning for Neural Machine Translation. EMNLP 2018: 3612-3621 - [c22]Chao Jiang, Hongguang Zhang, Kai Liu, Shibao Zheng, Youren Yang, Fei Tian, Chu Feng:
A Mobile Health Solution for Medication Adherence Intervention and its Real World Evidence. HealthCom 2018: 1-5 - [c21]Yang Fan, Fei Tian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu:
Learning to Teach. ICLR (Poster) 2018 - [c20]Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu:
Towards Binary-Valued Gates for Robust LSTM Training. ICML 2018: 3001-3010 - [c19]Yingce Xia, Xu Tan, Fei Tian, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Model-Level Dual Learning. ICML 2018: 5379-5388 - [c18]Lijun Wu, Fei Tian, Yingce Xia, Yang Fan, Tao Qin, Jian-Huang Lai, Tie-Yan Liu:
Learning to Teach with Dynamic Loss Functions. NeurIPS 2018: 6467-6478 - [c17]Renqian Luo, Fei Tian, Tao Qin, Enhong Chen, Tie-Yan Liu:
Neural Architecture Optimization. NeurIPS 2018: 7827-7838 - [i14]Hany Hassan, Anthony Aue, Chang Chen, Vishal Chowdhary, Jonathan Clark, Christian Federmann, Xuedong Huang, Marcin Junczys-Dowmunt, William Lewis, Mu Li, Shujie Liu, Tie-Yan Liu, Renqian Luo, Arul Menezes, Tao Qin, Frank Seide, Xu Tan, Fei Tian, Lijun Wu, Shuangzhi Wu, Yingce Xia, Dongdong Zhang, Zhirui Zhang, Ming Zhou:
Achieving Human Parity on Automatic Chinese to English News Translation. CoRR abs/1803.05567 (2018) - [i13]Yang Fan, Fei Tian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu:
Learning to Teach. CoRR abs/1805.03643 (2018) - [i12]Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu:
Towards Binary-Valued Gates for Robust LSTM Training. CoRR abs/1806.02988 (2018) - [i11]Renqian Luo, Fei Tian, Tao Qin, Tie-Yan Liu:
Neural Architecture Optimization. CoRR abs/1808.07233 (2018) - [i10]Lijun Wu, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
A Study of Reinforcement Learning for Neural Machine Translation. CoRR abs/1808.08866 (2018) - [i9]Lijun Wu, Xu Tan, Di He, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter. CoRR abs/1809.00120 (2018) - [i8]Lijun Wu, Fei Tian, Yingce Xia, Yang Fan, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Learning to Teach with Dynamic Loss Functions. CoRR abs/1810.12081 (2018) - 2017
- [c16]Yingce Xia, Fei Tian, Lijun Wu, Jianxin Lin, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Deliberation Networks: Sequence Generation Beyond One-Pass Decoding. NIPS 2017: 1784-1794 - [c15]Yingce Xia, Fei Tian, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Sequence Generation with Target Attention. ECML/PKDD (1) 2017: 816-831 - [i7]Yang Fan, Fei Tian, Tao Qin, Jiang Bian, Tie-Yan Liu:
Learning What Data to Learn. CoRR abs/1702.08635 (2017) - [i6]Lijun Wu, Yingce Xia, Li Zhao, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Adversarial Neural Machine Translation. CoRR abs/1704.06933 (2017) - 2016
- [j4]Yishu Zhu, Qingyun Du, Fei Tian, Fu Ren, Shi Liang, Yan Chen:
Location Optimization Using a Hierarchical Location-Allocation Model for Trauma Centers in Shenzhen, China. ISPRS Int. J. Geo Inf. 5(10): 190 (2016) - [j3]Fei Tian, Bin Gao, Enhong Chen, Tie-Yan Liu:
Learning Better Word Embedding by Asymmetric Low-Rank Projection of Knowledge Graph. J. Comput. Sci. Technol. 31(3): 624-634 (2016) - [c14]Huazheng Wang, Fei Tian, Bin Gao, Chengjieren Zhu, Jiang Bian, Tie-Yan Liu:
Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding. EMNLP 2016: 541-550 - [c13]Yiren Wang, Fei Tian:
Recurrent Residual Learning for Sequence Classification. EMNLP 2016: 938-943 - [c12]Hongguang Zhang, Kai Liu, Weijian Kong, Fei Tian, Youren Yang, Chu Feng, Ti Wang, Qi Chen:
A mobile health solution for chronic disease management at retail pharmacy. HealthCom 2016: 1-5 - [c11]Yulong Liu, Lei Xiong, Xin Bian, Xin Zhou, Fei Tian, Ting Zhou:
Radio propagation characteristics in corridor for wireless communications based on FEKO. WPMC 2016: 417-422 - [i5]Fei Tian, Bin Gao, Di He, Tie-Yan Liu:
Sentence Level Recurrent Topic Model: Letting Topics Speak for Themselves. CoRR abs/1604.02038 (2016) - 2015
- [j2]Li Wang, Fei Tian, Tommy Svensson, Daquan Feng, Mei Song, Shaoqian Li:
Exploiting full duplex for device-to-device communications in heterogeneous networks. IEEE Commun. Mag. 53(5): 146-152 (2015) - [c10]Haifang Li, Fei Tian, Wei Chen, Tao Qin, Zhiming Ma, Tie-Yan Liu:
Generalization Analysis for Game-Theoretic Machine Learning. AAAI 2015: 2089-2095 - [c9]Yitan Li, Linli Xu, Fei Tian, Liang Jiang, Xiaowei Zhong, Enhong Chen:
Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective. IJCAI 2015: 3650-3656 - [i4]Fei Tian, Bin Gao, Enhong Chen, Tie-Yan Liu:
Learning Better Word Embedding by Asymmetric Low-Rank Projection of Knowledge Graph. CoRR abs/1505.04891 (2015) - [i3]Huazheng Wang, Bin Gao, Jiang Bian, Fei Tian, Tie-Yan Liu:
Solving Verbal Comprehension Questions in IQ Test by Knowledge-Powered Word Embedding. CoRR abs/1505.07909 (2015) - 2014
- [c8]Fei Tian, Bin Gao, Qing Cui, Enhong Chen, Tie-Yan Liu:
Learning Deep Representations for Graph Clustering. AAAI 2014: 1293-1299 - [c7]Fei Tian, Haifang Li, Wei Chen, Tao Qin, Enhong Chen, Tie-Yan Liu:
Agent Behavior Prediction and Its Generalization Analysis. AAAI 2014: 1300-1306 - [c6]Fei Tian, Hanjun Dai, Jiang Bian, Bin Gao, Rui Zhang, Enhong Chen, Tie-Yan Liu:
A Probabilistic Model for Learning Multi-Prototype Word Embeddings. COLING 2014: 151-160 - [c5]Fei Tian, Chaozhong Wu, Duanfeng Chu, Chuan Sun, Tuqiang Zhou:
Experimental design of integrated platform for demonstration of cooperative vehicle infrastructure systems in China. ITSC 2014: 105-108 - [i2]Fei Tian, Haifang Li, Wei Chen, Tao Qin, Enhong Chen, Tie-Yan Liu:
Agent Behavior Prediction and Its Generalization Analysis. CoRR abs/1404.4960 (2014) - [i1]Haifang Li, Fei Tian, Wei Chen, Tao Qin, Tie-Yan Liu:
Generalization Analysis for Game-Theoretic Machine Learning. CoRR abs/1410.3341 (2014) - 2013
- [c4]Hongguang Zhang, Lingnan Xia, Fei Tian, Peng Wang, Jianzhu Cui, Chao Tang, Nana Deng, Na Ma:
An optimized placement algorithm for collaborative information processing at a wireless camera network. ICME 2013: 1-6 - 2012
- [j1]Fei Tian, Guoyu Qiu, Yonghui Yang, Yujiu Xiong, Pei Wang:
Studies on the Relationships Between Land Surface Temperature and Environmental Factors in an Inland River Catchment Based on Geographically Weighted Regression and MODIS Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(3): 687-698 (2012) - 2010
- [c3]Fei Tian, Guangqin Hu, Bing Zhou, Xiaozuo Lu, Hongwu Wang, Chunquan Yu, Hongmei Cao, Zhihao Jiang, Shizhen Guo:
Study on the correlation between tongue diagnosis of traditional Chinese medical and assay result of health check. BIBM Workshops 2010: 670-673 - [c2]Yigang Zhou, Fei Tian:
A spectrum sensing algorithm based on random matrix theory in cognitive radio networks. ISWCS 2010: 971-975
2000 – 2009
- 2009
- [c1]Ding Yuan, Pengliang Ci, Fei Tian, Jing Shi, Shaohui Xu, Peisheng Xin, Lianwei Wang:
The improvement of electrochemical etching process for silicon microchannel plates. NEMS 2009: 964-969
Coauthor Index
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