Shicong Liu

Orcid: 0000-0003-4370-7869

According to our database1, Shicong Liu authored at least 24 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Lightweight multimodal Cycle-Attention Transformer towards cancer diagnosis.
Expert Syst. Appl., 2024

Low-Complexity Near-Field Localization with XL-MIMO Sectored Uniform Circular Arrays.
CoRR, 2024

Sensing-Enhanced Channel Estimation for Near-Field XL-MIMO Systems.
CoRR, 2024

A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency Regularization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

DPSS-Based Codebook Design for Near-Field XL-MIMO Channel Estimation.
Proceedings of the IEEE International Conference on Communications, 2024

2023
Hybrid Knowledge-Data Driven Channel Semantic Acquisition and Beamforming for Cell-Free Massive MIMO.
IEEE J. Sel. Top. Signal Process., September, 2023

Transformer-based Joint Source Channel Coding for Textual Semantic Communication.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

2022
Reconfigurable intelligent surface assisted grant-free massive access.
Intell. Converged Networks, 2022

Model-Driven Deep Learning Based Precoding for FDD Cell-Free Massive MIMO with Imperfect CSI.
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.
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?
IEEE Commun. Mag., 2021

2020
Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces.
IEEE Trans. Veh. Technol., 2020

2017
Generalized Residual Vector Quantization and Aggregating Tree for Large Scale Search.
IEEE Trans. Multim., 2017

Learning deep representations with diode loss for quantization-based similarity search.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Space shuttle model: A physics inspired method for learning quantizable deep representations.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Quantizable deep representation learning with gradient snapping layer for large scale search.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

2016
Accurate Deep Representation Quantization with Gradient Snapping Layer for Similarity Search.
CoRR, 2016

Accelerated distance computation with encoding tree/forest for high dimensional data.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Generalized residual vector quantization for large scale data.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Aggregating Tree for Searching in Billion Scale High Dimensional Data.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
HCLAE: High Capacity Locally Aggregating Encodings for Approximate Nearest Neighbor Search.
CoRR, 2015

Accelerated Distance Computation with Encoding Tree for High Dimensional Data.
CoRR, 2015

Improved Residual Vector Quantization for High-dimensional Approximate Nearest Neighbor Search.
CoRR, 2015

Learning Better Encoding for Approximate Nearest Neighbor Search with Dictionary Annealing.
CoRR, 2015


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