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ORCIDShicong Liu
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2020 – today
- 2024
[j6]Shicong Liu
, Xin Ma, Shenyang Deng, Yuanchi Suo, Jianjun Zhang, Wing W. Y. Ng:
Lightweight multimodal Cycle-Attention Transformer towards cancer diagnosis. Expert Syst. Appl. 255: 124616 (2024)- [c11]Shicong Liu, Xianghao Yu, Zhen Gao, Derrick Wing Kwan Ng:
DPSS-Based Codebook Design for Near-Field XL-MIMO Channel Estimation. ICC 2024: 3864-3870 - [c10]Xiliang Yang, Shenyang Deng, Shicong Liu, Yuanchi Suo, Wing W. Y. Ng, Jianjun Zhang:
A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency Regularization. ECML/PKDD (1) 2024: 73-88 - [i13]Shicong Liu, Xianghao Yu, Zhen Gao, Jie Xu, Derrick Wing Kwan Ng, Shuguang Cui:
Sensing-Enhanced Channel Estimation for Near-Field XL-MIMO Systems. CoRR abs/2403.11809 (2024) - [i12]Shicong Liu, Xianghao Yu:
Low-Complexity Near-Field Localization with XL-MIMO Sectored Uniform Circular Arrays. CoRR abs/2405.01000 (2024) - 2023
- [j5]Zhen Gao, Shicong Liu, Yu Su, Zhongxiang Li, Dezhi Zheng:
Hybrid Knowledge-Data Driven Channel Semantic Acquisition and Beamforming for Cell-Free Massive MIMO. IEEE J. Sel. Top. Signal Process. 17(5): 964-979 (2023) - [c9]Shicong Liu, Zhen Gao, Gaojie Chen, Yu Su, Lu Peng:
Transformer-based Joint Source Channel Coding for Textual Semantic Communication. ICCC 2023: 1-6 - [i11]Zhen Gao, Shicong Liu, Yu Su, Zhongxiang Li, Dezhi Zheng:
Hybrid Knowledge-Data Driven Channel Semantic Acquisition and Beamforming for Cell-Free Massive MIMO. CoRR abs/2307.03070 (2023) - [i10]Shicong Liu, Zhen Gao, Gaojie Chen, Yu Su, Lu Peng:
Transformer-based Joint Source Channel Coding for Textual Semantic Communication. CoRR abs/2307.12266 (2023) - [i9]Shicong Liu, Xianghao Yu, Zhen Gao, Derrick Wing Kwan Ng:
DPSS-based Codebook Design for Near-Field XL-MIMO Channel Estimation. CoRR abs/2310.18180 (2023) - 2022
- [j4]Xingyu Zhou, Keke Ying, Shicong Liu, Malong Ke, Zhen Gao, Mohamed-Slim Alouini:
Reconfigurable intelligent surface assisted grant-free massive access. Intell. Converged Networks 3(1): 134-143 (2022) - [c8]Minghui Wu, Ziwei Wan, Yang Wang, Shicong Liu, Zhen Gao:
Deep Learning-Based Rate-Splitting Multiple Access for Massive MIMO-OFDM Systems With Imperfect CSIT. ISWCS 2022: 1-6 - [c7]Shicong Liu, Zhen Gao, Chun Hu, Shufeng Tan, Liang Fang, Li Qiao:
Model-Driven Deep Learning Based Precoding for FDD Cell-Free Massive MIMO with Imperfect CSI. IWCMC 2022: 696-701 - 2021
- [j3]Shicong Liu, Zhen Gao, Yongpeng Wu, Derrick Wing Kwan Ng, Xiqi Gao, Kai-Kit Wong, Symeon Chatzinotas, Björn E. Ottersten:
LEO Satellite Constellations for 5G and Beyond: How Will They Reshape Vertical Domains? IEEE Commun. Mag. 59(7): 30-36 (2021) - [i8]Shicong Liu, Zhen Gao, Yongpeng Wu, Derrick Wing Kwan Ng, Xiqi Gao, Kai-Kit Wong, Symeon Chatzinotas, Björn E. Ottersten:
LEO Satellite Constellations for 5G and Beyond: How Will They Reshape Vertical Domains? CoRR abs/2106.09897 (2021) - 2020
- [j2]Shicong Liu, Zhen Gao, Jun Zhang, Marco Di Renzo, Mohamed-Slim Alouini:
Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces. IEEE Trans. Veh. Technol. 69(8): 9223-9228 (2020) - [i7]Shicong Liu, Zhen Gao, Jun Zhang, Marco Di Renzo, Mohamed-Slim Alouini:
Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces. CoRR abs/2006.02201 (2020)
2010 – 2019
- 2017
- [j1]Shicong Liu, Junru Shao, Hongtao Lu:
Generalized Residual Vector Quantization and Aggregating Tree for Large Scale Search. IEEE Trans. Multim. 19(8): 1785-1797 (2017) - [c6]Shicong Liu, Hongtao Lu:
Quantizable deep representation learning with gradient snapping layer for large scale search. ICME 2017: 121-126 - [c5]Shicong Liu, Hongtao Lu:
Space shuttle model: A physics inspired method for learning quantizable deep representations. ICME 2017: 1380-1385 - [c4]Shicong Liu, Hongtao Lu:
Learning deep representations with diode loss for quantization-based similarity search. IJCNN 2017: 2282-2289 - 2016
- [c3]Shicong Liu, Junru Shao, Hongtao Lu:
Aggregating Tree for Searching in Billion Scale High Dimensional Data. ICDM Workshops 2016: 748-755 - [c2]Shicong Liu, Junru Shao, Hongtao Lu:
Generalized residual vector quantization for large scale data. ICME 2016: 1-6 - [c1]Shicong Liu, Junru Shao, Hongtao Lu:
Accelerated distance computation with encoding tree/forest for high dimensional data. ICMLC 2016: 495-501 - [i6]Shicong Liu, Junru Shao, Hongtao Lu:
Generalized residual vector quantization for large scale data. CoRR abs/1609.05345 (2016) - [i5]Shicong Liu, Hongtao Lu:
Accurate Deep Representation Quantization with Gradient Snapping Layer for Similarity Search. CoRR abs/1610.09645 (2016) - 2015
- [i4]Shicong Liu, Hongtao Lu:
Learning Better Encoding for Approximate Nearest Neighbor Search with Dictionary Annealing. CoRR abs/1507.01442 (2015) - [i3]Shicong Liu, Junru Shao, Hongtao Lu:
Accelerated Distance Computation with Encoding Tree for High Dimensional Data. CoRR abs/1509.05186 (2015) - [i2]Shicong Liu, Junru Shao, Hongtao Lu:
HCLAE: High Capacity Locally Aggregating Encodings for Approximate Nearest Neighbor Search. CoRR abs/1509.05194 (2015) - [i1]Shicong Liu, Hongtao Lu, Junru Shao:
Improved Residual Vector Quantization for High-dimensional Approximate Nearest Neighbor Search. CoRR abs/1509.05195 (2015)
Coauthor Index
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