Shicong Liu

According to our database, Shicong Liu authored at least 20 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sensing-Enhanced Channel Estimation for Near-Field XL-MIMO Systems.

Shicong Liu, Xianghao Yu, Zhen Gao, Jie Xu, Derrick Wing Kwan Ng, Shuguang Cui

CoRR, 2024

2023

Hybrid Knowledge-Data Driven Channel Semantic Acquisition and Beamforming for Cell-Free Massive MIMO.

Zhen Gao, Shicong Liu, Yu Su, Zhongxiang Li, Dezhi Zheng

IEEE J. Sel. Top. Signal Process., September, 2023

DPSS-based Codebook Design for Near-Field XL-MIMO Channel Estimation.

Shicong Liu, Xianghao Yu, Zhen Gao, Derrick Wing Kwan Ng

CoRR, 2023

Transformer-based Joint Source Channel Coding for Textual Semantic Communication.

Shicong Liu, Zhen Gao, Gaojie Chen, Yu Su, Lu Peng

Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

2022

Model-Driven Deep Learning Based Precoding for FDD Cell-Free Massive MIMO with Imperfect CSI.

Shicong Liu, Zhen Gao, Chun Hu, Shufeng Tan, Liang Fang, Li Qiao

Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

Deep Learning-Based Rate-Splitting Multiple Access for Massive MIMO-OFDM Systems With Imperfect CSIT.

Minghui Wu, Ziwei Wan, Yang Wang, Shicong Liu, Zhen Gao

Proceedings of the 18th International Symposium on Wireless Communication Systems, 2022

2021

LEO Satellite Constellations for 5G and Beyond: How Will They Reshape Vertical Domains?

Shicong Liu, Zhen Gao, Yongpeng Wu, Derrick Wing Kwan Ng, Xiqi Gao, Kai-Kit Wong, Symeon Chatzinotas, Björn E. Ottersten

IEEE Commun. Mag., 2021

2020

Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces.

Shicong Liu, Zhen Gao, Jun Zhang, Marco Di Renzo, Mohamed-Slim Alouini

IEEE Trans. Veh. Technol., 2020

2017

Generalized Residual Vector Quantization and Aggregating Tree for Large Scale Search.

Shicong Liu, Junru Shao, Hongtao Lu

IEEE Trans. Multim., 2017

Learning deep representations with diode loss for quantization-based similarity search.

Shicong Liu, Hongtao Lu

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Space shuttle model: A physics inspired method for learning quantizable deep representations.

Shicong Liu, Hongtao Lu

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Quantizable deep representation learning with gradient snapping layer for large scale search.

Shicong Liu, Hongtao Lu

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

2016

Accurate Deep Representation Quantization with Gradient Snapping Layer for Similarity Search.

Shicong Liu, Hongtao Lu

CoRR, 2016

Accelerated distance computation with encoding tree/forest for high dimensional data.

Shicong Liu, Junru Shao, Hongtao Lu

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Generalized residual vector quantization for large scale data.

Shicong Liu, Junru Shao, Hongtao Lu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Aggregating Tree for Searching in Billion Scale High Dimensional Data.

Shicong Liu, Junru Shao, Hongtao Lu

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

HCLAE: High Capacity Locally Aggregating Encodings for Approximate Nearest Neighbor Search.

Shicong Liu, Junru Shao, Hongtao Lu

CoRR, 2015

Accelerated Distance Computation with Encoding Tree for High Dimensional Data.

Shicong Liu, Junru Shao, Hongtao Lu

CoRR, 2015

Improved Residual Vector Quantization for High-dimensional Approximate Nearest Neighbor Search.

Shicong Liu, Hongtao Lu, Junru Shao

CoRR, 2015

Learning Better Encoding for Approximate Nearest Neighbor Search with Dictionary Annealing.

Shicong Liu, Hongtao Lu

CoRR, 2015