Cong Shen
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Journal Papers

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2023

  1. Random Orthogonalization for Federated Learning in Massive MIMO Systems
    X. Wei, C. Shen, J. Yang, and H. V. Poor, IEEE Trans. Wireless Commun., to appear.

  2. Federated Learning with Heterogeneous Quantization Bit Allocation and Aggregation for Internet of Things
    G. Wang, S. Chen, L. Li, G. Wang, M. Pang, and C. Shen, IEEE Internet Things J., to appear.

  3. Performance Optimization for Noise Interference Privacy Protection in Federated Learning
    Z. Peng, B. Li, L. Li, S. Chen, G. Wang, H. Rao, and C. Shen, IEEE Trans. Cogn. Commun. Netw., to appear.

  4. On the Convergence of Hybrid Server-Clients Collaborative Training
    K. Yang, S. Chen, and C. Shen, IEEE J. Select. Areas Commun., vol. 41, no. 3, pp. 802-819, March 2023.

2022

  1. Joint Optimal Quantization and Aggregation of Federated Learning Scheme in VANETs
    Y. Li, Y. Guo, M. Alazab, S. Chen, C. Shen, and K. Yu, IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 10, pp. 19852-19863, Oct. 2022.

  2. Federated Learning over Noisy Channels: Convergence Analysis and Design Examples
    X. Wei and C. Shen, IEEE Transactions on Cognitive Communications and Networking, vol. 8, no. 2, pp. 1253-1268, June 2022.

  3. On Top-k Selection from m-wise Partial Rankings via Borda Counting
    W. Chen, R. Zhou, C. Tian, and C. Shen, IEEE Trans. Signal Processing, vol. 70, pp. 2031-2045, Apr. 2022.

  4. Tx-Rx Reciprocity Calibration for Hybrid Massive MIMO Systems
    X. Wei, Y. Jiang, X. Wang and C. Shen, IEEE Wireless Communications Letters, vol. 11, no. 2, pp. 431-435, Feb. 2022.

  5. MARS: Assisting Human with Information Processing Tasks Using Machine Learning
    C. Shen, Z. Qian, A. Huyuk, and M. van der Schaar, ACM Transactions on Computing for Healthcare, vol. 3, no. 2, pp. 1-19, Feb. 2022.

2021

  1. Dynamic Aggregation for Heterogeneous Quantization in Federated Learning
    S. Chen *, C. Shen *, L. Zhang, and Y. Tang, IEEE Trans. Wireless Commun., vol. 20, no. 10, pp. 6804-6819, Oct. 2021. (*: equal contribution)

  2. Multi-player Multi-armed Bandits with Collision-Dependent Reward Distributions
    C. Shi and C. Shen, IEEE Trans. Signal Processing, vol. 69, pp. 4385-4402, July 2021.

  3. Design and Analysis of Uplink and Downlink Communications for Federated Learning
    S. Zheng, C. Shen, and X. Chen, IEEE J. Select. Areas Commun., Series on Machine Learning for Communications and Networks, vol. 39, no. 7, pp. 2150-2167, July 2021.

  4. On No-Sensing Adversarial Multi-player Multi-armed Bandits with Collision Communications
    C. Shi and C. Shen, IEEE Journal on Selected Areas in Information Theory, Special Issue on Sequential, Active, and Reinforcement Learning, vol. 2, no. 2, pp. 515-533, June 2021.

  5. Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges
    C. Shen, J. Xu, S. Zheng, and X. Chen, IEEE Commun. Mag., Data Science and Artificial Intelligence Series, vol. 59, no. 5, pp. 82-87, May 2021.

  6. Collaborative Service Placement for Edge Computing in Dense Small Cell Networks
    L. Chen, C. Shen, P. Zhou, J. Xu, IEEE Trans. Mobile Comput., vol. 20, no. 2, pp. 377-390, Feb. 2021.

2020

  1. Machine learning for clinical trials in the era of COVID-19
    W. R. Zame, I. Bica, C. Shen, A. Curth, H.-S. Lee, S. Bailey, J. Weatherall, D. Wright, F. Bretz, and M. van der Schaar, Statistics in Biopharmaceutical Research, Special Issue on Covid-19, Vol. 12, No. 4, Page(s): 506-517, Aug. 2020.

  2. Improved Low-Resolution Quantized SIMO Estimation via Deep Learning
    S. Liu, S. Chen, C. Shen, M. Ismail, and R. Kumar, IEEE Wireless Commun. Letters, Vol. 9, No. 8, Page(s): 1331-1335, Aug. 2020.

  3. Indoor temperature monitoring using wireless sensor networks: A SMAC application in smart cities
    S. Chen, L. Zhang, Y. Tang, C. Shen, R. Kumar, K. Yu, U. Tariq, A. K. Bashir, Elsevier Sustainable Cities and Society, Vol. 61, Page(s): 102333. Oct. 2020.

  4. Cost-aware Cascading Bandits
    C. Gan, R. Zhou, J. Yang and C. Shen, IEEE Trans. Signal Process., Vol. 68, Page(s): 3692-3706, June 2020.

  5. Collaborative Multi-Agent Multi-Armed Bandit Learning for Small-Cell Caching
    X. Xu, M. Tao, and C. Shen, IEEE Trans. Wireless Commun., Vol. 19, No. 4, Page(s): 2570-2585, April 2020.

  6. Towards Optimal Power Control via Ensembling Deep Neural Networks
    F. Liang, C. Shen, W. Yu, and F. Wu, IEEE Trans. Commun., Vol. 68, No. 3, Page(s): 1760-1776, March 2020.

  7. On Scheduling Policies with Heavy-Tailed Dynamics in Wireless Queueing Systems
    S. Chen, L. Zhang, C. Shen, K. Yu, S. H. Myint and Z. Wen, IEEE Access, Vol. 8, No. 1, Page(s): 32137-32149, Feb. 2020.

2019

  1. A Regression Approach to Certain Information Transmission Problems
    W. Zhang, Y. Wang, C. Shen, and N. Liang, IEEE J. Select. Areas Commun., Special Issue of Machine Learning in Wireless Communications, Vol. 37, No. 11, Page(s): 2517-2531, Nov. 2019.

  2. Universal Best Arm Identification
    C. Shen, IEEE Trans. Signal Process., Vol. 67, No. 17, Page(s): 4464-4478, Sept. 2019.

  3. Cost-Aware Learning and Optimization for Opportunistic Spectrum Access
    C. Gan, R. Zhou, J. Yang, and C. Shen, IEEE Trans. Cogn. Commun. Netw., Vol. 5, No. 1, Page(s): 15-27, Mar. 2019.

  4. A Non-stationary Online Learning Approach to Mobility Management
    Y. Zhou, C. Shen, and M. van der Schaar, IEEE Trans. Wireless Commun., Vol. 18, No. 2, Page(s): 1434-1446, Feb. 2019.

2018

  1. Regional Multi-Armed Bandits with Partial Informativeness
    Z. Wang, R. Zhou, and C. Shen, IEEE Trans. Signal Process., Vol. 66, No. 21, Page(s): 5705-5717, Nov. 2018.

  2. Multilevel Diversity Coding with Secure Regeneration: Separate Coding Achieves the MBR Point
    S. Shao, T. Liu, C. Tian, and C. Shen, Entropy, Special Issue on Multiuser Information Theory II, 2018, 20(10):751.

  3. New results on multilevel diversity coding with secure regeneration
    S. Shao, T. Liu, C. Tian, and C. Shen, Science China Information Sciences (SCIS), Special Focus on Distributed Storage Coding, 2018, 61(10): 100307.

  4. Designing Security-Aware Incentives for Computation Offloading via Device-to-Device Communication
    J. Xu, L. Chen, K. Liu, and C. Shen, IEEE Trans. Wireless Commun., Vol. 17, No. 9, Page(s): 6053-6066, Sept. 2018.

  5. Generalized Global Bandits and Its Application in Cellular Coverage Optimization
    C. Shen, R. Zhou, C. Tekin, and M. van der Schaar, IEEE J. Sel. Topics Signal Process., Vol. 12, No. 1, Page(s): 218-232, Feb. 2018.

  6. An Iterative BP-CNN Architecture for Channel Decoding
    F. Liang, C. Shen, and F. Wu, IEEE J. Sel. Topics Signal Process., Vol. 12, No. 1, Page(s): 144-159, Feb. 2018.

  7. Downlink Multi-User MIMO Precoding Design via Signal-over-Leakage Capacity
    C. Shen, IEEE Access, Vol. 6, Issue:1, Page(s): 2812-2824, Jan. 2018.

2017

  1. On the Tradeoff Region of Secure Exact-Repair Regenerating Codes
    S. Shao, T. Liu, C. Tian, and C. Shen, IEEE Trans. Info. Theory, Vol. 63, No. 11, Page(s): 7253-7266, Nov. 2017.

  2. A Scalable Framework for CSI Feedback in FDD Massive MIMO via DL Path Aligning
    X. Luo, P. Cai, X. Zhang, D. Hu, and C. Shen, IEEE Trans. Signal Process., Vol. 65, No. 18, Page(s): 4702-4716, Sept. 2017.

  3. Small Cell Transmit Power Assignment Based on Correlated Bandit Learning
    Z. Wang and C. Shen, IEEE J. Select. Areas Commun., Vol. 35, No. 5, Page(s): 1030-1045, May 2017.

2016 and earlier

  1. A Non-stochastic Learning Approach to Energy Efficient Mobility Management
    C. Shen, C. Tekin, and M. van der Schaar, IEEE J. Select. Areas Commun., Vol. 34, No. 12, Page(s): 3854-3868, December 2016.

  2. Silence is Gold: Strategic Interference Mitigation Using Tokens in Heterogeneous Small Cell Networks
    C. Shen, J. Xu, and M. van der Schaar, IEEE J. Select. Areas Commun., Vol. 33, No. 6, Page(s): 1097-1111, June 2015.

  3. Hybrid ARQ in Multiple-Antenna Slow Fading Channels: Performance Limits and Optimal Linear Dispersion Code Design
    C. Shen and M. P. Fitz, IEEE Trans. Info. Theory, Vol. 57, No. 9, Page(s): 5863-5883, Sept. 2011.

  4. Opportunistic Spatial Orthogonalization and Its Application in Fading Cognitive Radio Networks
    C. Shen and M. P. Fitz, IEEE J. Sel. Topics Signal Process., Vol. 5, No. 1, Page(s): 182-189, Feb. 2011.

  5. On the Average Rate Performance of Hybrid-ARQ in Quasi-Static Fading Channels
    C. Shen, T. Liu, and M. P. Fitz, IEEE Trans. Commun., Vol. 57, No. 11, Page(s): 3339-3352, Nov. 2009.

  6. Optimal Resource Allocation for Multimedia Applications over Multiaccess Fading Channels
    C. Shen and M. van der Schaar, IEEE Trans. Wireless Commun., Vol. 7, No. 9, Page(s): 3546-3557, Sept. 2008.

  7. MIMO-OFDM Beamforming for Improved Channel Estimation
    C. Shen and M. Fitz, IEEE J. Select. Areas Commun., Vol. 26, No. 6, Page(s): 948-959, Aug. 2008.