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Liefu Ai
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2020 – today
- 2024
- [j9]Liefu Ai, Changyu Jiang:
Learning Adaptive Hypersphere: Boosting Efficiency on Approximate Nearest Neighbor Search. IEEE Signal Process. Lett. 31: 2190-2194 (2024) - 2022
- [j8]Shaoguo Xie, Liefu Ai, Wenquan Xu:
Effective capacity optimization for UDN. IET Commun. 16(12): 1428-1441 (2022) - 2021
- [j7]Shaoguo Xie, Liefu Ai:
Sum-rate optimization scheme for time-varying distributed MU-MIMO systems. IET Commun. 15(19): 2482-2491 (2021) - [j6]Deyang Liu, Xinpeng Huang, Wenfa Zhan, Liefu Ai, Xin Zheng, Shulin Cheng:
View synthesis-based light field image compression using a generative adversarial network. Inf. Sci. 545: 118-131 (2021)
2010 – 2019
- 2019
- [j5]Xiaoming Dong, Liefu Ai, Rong Jiang:
Motion estimation of indoor robot based on image sequences and improved particle filter. Multim. Tools Appl. 78(21): 29747-29763 (2019) - 2018
- [j4]Deyang Liu, Ping An, Ran Ma, Wenfa Zhan, Liefu Ai:
Scalable Omnidirectional Video Coding for Real-Time Virtual Reality Applications. IEEE Access 6: 56323-56332 (2018) - 2017
- [j3]Liefu Ai, Junqing Yu, Zebin Wu, Yunfeng He, Tao Guan:
Optimized residual vector quantization for efficient approximate nearest neighbor search. Multim. Syst. 23(2): 169-181 (2017) - [j2]Jian Wu, Benyue Su, Jing Li, Xu Zhang, Liefu Ai:
Global adaptive neural tracking control of nonlinear MIMO systems. Neural Comput. Appl. 28(12): 3801-3813 (2017) - 2014
- [c3]Liefu Ai, Junqing Yu, Tao Guan, Yunfeng He:
Efficient approximate nearest neighbor search by optimized residual vector quantization. CBMI 2014: 1-4 - 2013
- [j1]Liefu Ai, Junqing Yu, Yunfeng He, Tao Guan:
High-dimensional indexing technologies for large scale content-based image retrieval: a review. J. Zhejiang Univ. Sci. C 14(7): 505-520 (2013) - 2012
- [c2]Liefu Ai, Junqing Yu, Tao Guan:
Spherical Soft Assignment: Improving Image Representation in Content-Based Image Retrieval. PCM 2012: 801-810
2000 – 2009
- 2009
- [c1]Jiufei Tang, Xingming Ouyang, Junqing Yu, Liefu Ai:
Design and Implementation of Operation Replay for Virtual Experiment. Edutainment 2009: 371-378
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