Yuan Shen – Publications

Google Scholar Site: https://scholar.google.com/citations?user=1mDpUSgAAAAJ

Selected Journal Papers

Wireless Network Localization

1. X. Shen, L. Xu, Y. Liu, and Y. Shen, ‘‘A theoretical framework for relative localization,‘‘ IEEE Trans. Inf. Theory, 2023. Early Access.

2. H. Zhao, M. Huang, and Y. Shen, ‘‘High-accuracy localization in multipath environments via spatio-temporal feature tensorization,‘‘ IEEE Trans. Wireless Commun., vol. 21, no. 12, pp. 10576-10591, Dec. 2022.

3. H. Zhao, Z. Zhang, J. Wang, Z. Zhang, and Y. Shen, ‘‘A signal-multiplexing ranging scheme for integrated localization and sensing,‘‘ IEEE Wireless Commun. Lett., vol. 11, no. 8, pp. 1609-1613, Aug. 2022.

4. Z. Wang, Z. Liu, Y. Shen, A. Conti, and M. Z. Win, ‘‘Location awareness in beyond 5G networks via reconfigurable intelligent surfaces,‘‘ IEEE J. Sel. Areas Commun., vol. 40, no. 7, pp. 2011-2025, Jul. 2022.

5. M. Z. Win, Z. Wang, Z. Liu, Y. Shen, and A. Conti, ‘‘Location awareness via intelligent surfaces: A path toward holographic NLN,‘‘ IEEE Veh. Technol. Mag., vol. 17, no. 2, pp. 37-45, Jun. 2022.

6. A. Liu, Z. Huang, M. Li, Y. Wan, W. Li, T. X. Han, C. Liu, R. Du, D. K. P. Tan, J. Lu, Y. Shen, F. Colone, and K. Chetty, ‘‘A survey on fundamental limits of integrated sensing and communication,‘‘ IEEE Commun. Surveys Tuts., vol. 24, no. 2, pp. 994-1034, Second quarter, 2022.

7. N. Zhao, Y. Wang, Z. Zhang, Q. Chang, and Y. Shen, ‘‘Joint transmit and receive beamforming design for integrated sensing and communication,‘‘ IEEE Commun. Lett., vol. 26, no. 3, pp. 662-666, Mar. 2022.

8. Z. Zhang, H. Zhao, J. Wang, and Y. Shen, ‘‘Signal-multiplexing ranging for network localization,‘‘ IEEE Trans. Wireless Commun., vol. 21, no. 3, pp. 1694-1709, Mar. 2022.

9. Q. An and Y. Shen, ‘‘On the information coupling and propagation of visual 3D perception in vehicular networks with position uncertainty,‘‘ IEEE Trans. Veh. Technol., vol. 70, no. 12, pp. 13 325-13 339, Oct. 2021.

10. F. Yang and Y. Shen, ‘‘Critical intensity for unbounded sequential localizability,‘‘ IEEE/ACM Trans. Netw., vol. 29, no. 3, pp. 1321-1334, Jun. 2021.

11. H. Zhao, N. Zhang, and Y. Shen, ‘‘Beamspace direct localization for large-scale antenna array systems,‘‘ IEEE Trans. Signal Process., vol. 68, pp. 3529-3544, May 2020.

12. Y. Wang, Y. Wu, and Y. Shen, ‘‘Joint spatiotemporal multipath mitigation in large-scale array localization,‘‘ IEEE Trans. Signal Process., vol. 67, no. 3, pp. 783-797, Feb. 2019.

13. S. Mazuelas, Y. Shen, and M. Z. Win, ‘‘Spatiotemporal information coupling in network navigation,‘‘ IEEE Trans. Inf. Theory, vol. 64, no. 12, pp. 7759-7779, Dec. 2018.

14. M. Z. Win, W. Dai, Y. Shen, G. Chrisikos, and H. V. Poor, ‘‘Network operation strategies for efficient localization and navigation,‘‘ Proc. IEEE, vol. 106, no. 7, pp. 1224-1254, Jul. 2018.

15. M. Z. Win, Y. Shen, and W. Dai, ‘‘A theoretical foundation of network localization and navigation,‘‘ Proc. IEEE, vol. 106, no. 7, pp. 1136-1165, Jul. 2018.

16. W. Dai, Y. Shen, and M. Z. Win, ‘‘A computational geometry framework for efficient network localization,‘‘ IEEE Trans. Inf. Theory, vol. 64, no. 2, pp. 1317-1339, Feb. 2018.

17. Y. Liu, Y. Shen, D. Guo, and M. Z. Win, ‘‘Network localization and synchronization using full-duplex radios,‘‘ IEEE Trans. Signal Process., vol. 66, no. 3, pp. 714-728, Feb. 2018.

18. T. Wang, Y. Shen, A. Conti, and M. Z. Win, ‘‘Network navigation with scheduling: Error evolution,‘‘ IEEE Trans. Inf. Theory, vol. 63, no. 11, pp. 7509-7534, Nov. 2017.

19. J. Chen, W. Dai, Y. Shen, V. K. N. Lau, and M. Z. Win, ‘‘Resource management games for distributed network localization,‘‘ IEEE J. Sel. Areas Commun., vol. 35, no. 2, pp. 317-329, Feb. 2017.

20. K. Witrisal, P. Meissner, E. Leitinger, Y. Shen, C. Gustafson, F. Tufvesson, K. Haneda, D. Dardari, A. F. Molisch, A. Conti, and M. Z. Win, ‘‘High-accuracy localization for assisted living: 5G systems will turn multipath channels from foe to friend,‘‘ IEEE Signal Process. Mag., vol. 33, no. 2, pp. 59-70, Mar. 2016.

21. Y. Han, Y. Shen, X. P. Zhang, M. Z. Win, and H. Meng, ‘‘Performance limits and geometric properties of array localization,‘‘ IEEE Trans. Inf. Theory, vol. 62, no. 2, pp. 1054-1075, Feb. 2016.

22. W. Dai, Y. Shen, and M. Z. Win, ‘‘Energy-efficient network navigation algorithms,‘‘ IEEE J. Sel. Areas Commun., vol. 33, no. 7, pp. 1418-1430, Jul. 2015.

23. Y. Shen, W. Dai, and M. Z. Win, ‘‘Power optimization for network localization,‘‘ IEEE/ACM Trans. Netw., vol. 22, no. 4, pp. 1337-1350, Aug. 2014.

24. W. W.-L. Li, Y. Shen, Y. J. Zhang, and M. Z. Win, ‘‘Robust power allocation for energy-efficient location-aware networks,‘‘ IEEE/ACM Trans. Netw., vol. 21, no. 6, pp. 1918-1930, Dec. 2013.

25. S. Mazuelas, Y. Shen, and M. Z. Win, ‘‘Belief condensation filtering,‘‘ IEEE Trans. Signal Process., vol. 61, no. 18, pp. 4403-4415, Sep. 2013.

26. Y. Shen, S. Mazuelas, and M. Z. Win, ‘‘Network navigation: Theory and interpretation,‘‘ IEEE J. Sel. Areas Commun., vol. 30, no. 9, pp. 1823-1834, Oct. 2012.

27. Y. Shen and M. Z. Win, ‘‘Fundamental limits of wideband localization - Part I: A general framework,‘‘ IEEE Trans. Inf. Theory, vol. 56, no. 10, pp. 4956-4980, Oct. 2010.

28. Y. Shen and M. Z. Win, ‘‘On the accuracy of localization systems using wideband antenna arrays,‘‘ IEEE Trans. Commun., vol. 58, no. 1, pp. 270-280, Jan. 2010.

Cooperative Multi-agent Networks

1. X. Li, Y. Wang, K. Ma, L. Xu, Z. Zhang, J. Wang, Y. Wang, and Y. Shen, ‘‘A cooperative relative localization system for distributed multi-agent networks,‘‘ IEEE Trans. Veh. Technol., 2023, Early Access.

2. F. Yang and Y. Shen, ‘‘Distributed scheduling at non-signalized intersections with mixed cooperative and non-cooperative vehicles,‘‘ IEEE Trans. Veh. Technol., 2023. vol. 72, no. 6, pp. 7123-7136, Jun. 2023.

3. Q. An, J. Wang, Z. Zhang, and Y. Shen, ‘‘Information-based bit allocation for cooperative visual sensing in vehicular networks,‘‘ IEEE Trans. Veh. Technol., vol. 72, no. 2, pp. 2365-2380, Feb. 2023.

4. Y. Xu, Z. Zhang, J. Yu, Y. Shen and Y. Wang, ‘‘A framework to co-optimize robot exploration and task planning in unknown environments,‘‘ IEEE Robot. Autom. Lett., vol. 7, no. 4, pp. 12283–12290, Oct. 2022.

5. F. Yang and Y. Shen, ‘‘A minimax framework for two-agent scheduling with inertial constraints,‘‘ IEEE Trans. Intell. Transp. Syst., vol. 23, no. 12, pp. 24401-24413, Dec. 2022.

6. F. Yang and Y. Shen, ‘‘A minimax scheduling framework for inertially-constrained multi-agent systems,‘‘ IEEE Trans. Intell. Transp. Syst., vol. 23, no. 12, pp. 24414-24427, Dec. 2022.

7. H. Dong, J. Yu, Y. Xu, Z. Xu, Z. Shen, J. Tang, Y. Shen, and Y. Wang, ‘‘MR-GMMapping: communication efficient multi-robot mapping system via Gaussian mixture model,‘‘ IEEE Robot. Autom. Lett., vol. 7, no. 2, pp. 3294-3301, Jan. 2022.

8. Y. Xiong, N. Wu, Y. Shen, and M. Z. Win, ‘‘Cooperative localization in massive networks,‘‘ IEEE Trans. Inf. Theory, vol. 68, no. 2, pp. 1237-1258, Feb. 2022.

9. W. Li, Y. Liu, X. Li, and Y. Shen, ‘‘Three-dimensional cooperative localization via space-air-ground integrated networks,‘‘ China Commun., vol. 19, no. 1, pp. 253-263, Jan. 2022.

10. F. Zhang, K. Gu, and Y. Shen, ‘‘Vision-based localization in multi-agent networks with communication constraints,‘‘ IEEE Trans. Veh. Technol., vol. 71, no. 1, pp. 518-532, Jan. 2022.

11. K. Gu, Y. Wang, and Y. Shen, ‘‘A quasi-coherent detection framework for mobile multi-agent networks,‘‘ IEEE Trans. Signal Process., vol. 69, pp. 6416-6430, Oct. 2021.

12. Y. Liu, Y. Wang, X. Shen, J. Wang, and Y. Shen, ‘‘UAV-aided relative localization of terminals,‘‘ IEEE Internet Things J., vol. 8, no. 16, pp. 12 999-13 013, Aug. 2021.

13. Q. An, Y. Wang, and Y. Shen, ‘‘Sensor deployment for visual 3D perception: A perspective of information gains,‘‘ IEEE Sensors J., vol. 21, no. 6, pp. 8464-8478, Mar. 2021.

14. K. Gu, Y. Wang, and Y. Shen, ‘‘Cooperative detection by multi-agent networks in the presence of position uncertainty,‘‘ IEEE Trans. Signal Process., vol. 68, pp. 5411-5426, Sep. 2020.

15. Y. Liu, Y. Wang, J. Wang, and Y. Shen, ‘‘Distributed 3D relative localization of UAVs,‘‘ IEEE Trans. Veh. Technol., vol. 69, no. 10, pp. 11 756-11 770, Oct. 2020.

16. Y. Wang, K. Gu, Y. Wu, W. Dai, and Y. Shen, ‘‘NLOS effect mitigation via spatial geometry exploitation in cooperative localization,‘‘ IEEE Trans. Wireless Commun., vol. 19, no. 9, pp. 6037-6049, Jun. 2020.

17. Y. Wang, Y. Wu, and Y. Shen, ‘‘Cooperative tracking by multi-agent systems using signals of opportunity,‘‘ IEEE Trans. Commun., vol. 68, no. 1, pp. 93-105, Jan. 2020.

18. Y. Cai and Y. Shen, ‘‘An integrated localization and control framework for multi-agent formation,‘‘ IEEE Trans. Signal Process., vol. 67, no. 7, pp. 1941-1956, Apr. 2019.

19. C. Wang, J. Wang, Y. Shen, and X. Zhang, ‘‘Autonomous navigation of UAVs in large-scale complex environments: A deep reinforcement learning approach,‘‘ IEEE Trans. Veh. Technol., vol. 68, no. 3, pp. 2124-2136, Mar. 2019.

20. Y. Liu, Y. Shen, and M. Z. Win, ‘‘Single-anchor localization and synchronization of full-duplex agents,‘‘ IEEE Trans. Commun., vol. 67, no. 3, pp. 2355-2367, Mar. 2019.

21. Y. Xiong, N. Wu, Y. Shen, and M. Z. Win, ‘‘Cooperative network synchronization: Asymptotic analysis,‘‘ IEEE Trans. Signal Process., vol. 66, no. 3, pp. 757-772, Feb. 2018.

22. J. Chen, W. Dai, Y. Shen, V. K. N. Lau, and M. Z. Win, ‘‘Power management for cooperative localization: A game theoretical approach,‘‘ IEEE Signal Process., vol. 64, no. 24, pp. 6517-6532, Dec. 2016.

23. T. Zhang, A. F. Molisch, Y. Shen, Q. Zhang, H. Feng, and M. Z. Win, ‘‘Joint power and bandwidth allocation in wireless cooperative localization networks,‘‘ IEEE Trans. Wireless Commun., vol. 15, no. 10, pp. 6527-6540, Oct. 2016.

24. W. Dai, Y. Shen, and M. Z. Win, ‘‘Distributed power allocation for cooperative wireless network localization,‘‘ IEEE J. Sel. Areas Commun., vol. 33, no. 1, pp. 28-40, Jan. 2015.

25. M. Z. Win, A. Conti, S. Mazuelas, Y. Shen, W. M. Gifford, D. Dardari, and M. Chiani, ‘‘Network localization and navigation via cooperation,‘‘ IEEE Commun. Mag., vol. 49, no. 5, pp. 56-62, May 2011.

26. Y. Shen, H. Wymeersch, and M. Z. Win, ‘‘Fundamental limits of wideband localization - Part II: Cooperative networks,‘‘ IEEE Trans. Inf. Theory, vol. 56, no. 10, pp. 4981-5000, Oct. 2010.

Localization System Demos and Machine Learning

1. Y. Li, S. Mazuelas, and Y. Shen, ‘‘A variational learning approach for concurrent distance estimation and environmental identification,‘‘ IEEE Trans. Wireless Commun., vol. 22, no. 9, pp. 6252-6266, Sep. 2023.

2. X. Li, Y. Wang, K. Ma, L. Xu, Z. Zhang, J. Wang, Y. Wang, and Y. Shen, ‘‘A cooperative relative localization system for distributed multi-agent networks,‘‘ IEEE Trans. Veh. Technol., 2023, Early Access.

3. B. Zhao, K. Hu, F. Wen, S. Cui, and Y. Shen, ‘‘TDLoc: Passive localization for MIMO-OFDM system via tensor decomposition,‘‘ IEEE Internet Things J., 2023, Early Access.

4. Y. Huang, S. Mazuelas, F. Ge, and Y. Shen, ‘‘Indoor localization system with NLOS mitigation based on self-training,‘‘ IEEE Trans. Mobile Comput., vol. 22, no. 7, pp. 3952-3966, Jul. 2023.

5. J. Liu, T. Wang, Y. Li, C. Li, Y. Wang, and Y. Shen, ‘‘A transformer-based signal denoising network for AoA estimation in NLoS environments,‘‘ IEEE Commun. Lett., vol. 26, no. 10, pp. 2336-2339, Oct. 2022.

6. F. Ge and Y. Shen, ‘‘Single-anchor ultra-wideband localization system using wrapped PDoA,‘‘ IEEE Trans. Mobile Comput., vol. 21, no. 12, pp. 4609-4623, 1 Dec. 2022.

7. Y. Gong, H. Zhao, K. Hu, Q. Lu, and Y. Shen, ‘‘A multipath-aided localization method for MIMO-OFDM systems via tensor decomposition,‘‘ IEEE Wireless Commun. Lett., vol. 11, no. 6, pp. 1225-1228, Jun. 2022.

8. K. Hong, T. Wang, J. Liu, Y. Wang, and Y. Shen, ‘‘A learning-based AoA estimation method for device-free localization,‘‘ IEEE Commun. Lett., vol. 26, no. 6, pp. 1264-1267, Jun. 2022.

9. B. Wang, Y. Wang, X. Qiu, and Y. Shen, ‘‘BLE localization with polarization sensitive array,‘‘ IEEE Wireless Commun. Lett., vol. 10, no. 5, pp. 1014-1017, May 2021.

10. T. Wang, K. Hu, Z. Li, K. Lin, J. Wang, and Y. Shen, ‘‘A semi-supervised learning approach for UWB ranging error mitigation,‘‘ IEEE Wireless Commun. Lett., vol. 10, no. 3, pp. 688-691, Mar. 2021.

11. T. Wang, H. Zhao, and Y. Shen, ‘‘An efficient single-anchor localization method using ultra-wide bandwidth systems,‘‘ Appl. Sci., vol. 10, no. 1, p. 57, Jan. 2020.

Single Prticle Reconstruction for Cryo-EM

1. R. Zhang, Y. Shen, and X. Li, ‘‘Tilt-series-based joint CTF estimation for cryo-electron tomography,‘‘ Structure, 2024, To Appear.

2. X. Zhang, T. Zhao, J. Chen, Y. Shen, and X. Li, ‘‘EPicker is an exemplar-based continual learning approach for knowledge accumulation in Cryo-EM particle picking,‘‘ Nat. Commun. 13, 2468 (2022).

3. M. Hu, H. Yu, K. Gu, Z. Wang, H. Ruan, K. Wang, S. Ren, B. Li, L. Gan, S. Xu, G. Yang, Y. Shen, and X. Li, ‘‘A particle-filter framework for robust cryo-EM 3D reconstruction,‘‘ Nat. Methods, vol. 15, no. 12, pp. 1083-1089, Dec. 2018.

Others

1. J. Shi, J. Du, Y. Shen, J. Wang, J. Yuan, and Z. Han, ‘‘DRL-based V2V computation offloading for blockchain-enabled vehicular networks,‘‘ IEEE Trans. Mobile Comput., vol. 22, no. 7, pp. 3882-3897, Jul. 2023.

2. J. Zhang, Y. Shen, Y. Wang, X. Zhang, and J. Wang, “Dual timescale resource allocation for collaborative service caching and computation offloading in IoT systems,” IEEE Trans. Industr. Inform., vol. 19, no. 2, pp. 1735-1746, Feb. 2023.

3. S. Mazuelas, Y. Shen, and A. Perez, ‘‘Generalized maximum entropy for supervised classification,‘‘ IEEE Trans. Inf. Theory, vol. 68, no. 4, pp. 2530-2550, Apr. 2022.

4. Y. Huang, Y. Shen, J. Wang, and X. Zhang, ‘‘A platoon-centric multi-channel access scheme for hybrid traffic,‘‘ IEEE Trans. Veh. Technol., vol. 70, no. 6, pp. 5404-5418, Jun. 2021.

5. J. Zhang, J. Du, Y. Shen, and J. Wang, ‘‘Dynamic computation offloading with energy harvesting devices: A hybrid-decision-based deep reinforcement learning approach,‘‘ IEEE Internet Things J., vol. 7, no. 10, pp. 9303-9317, Oct. 2020.

6. Y. Shen and M. Z. Win, ‘‘Intrinsic information of wideband channels,‘‘ IEEE J. Sel. Areas Commun., vol. 31, no. 9, pp. 1875-1888, Sep. 2013.

7. Y. Shen, T. Luo, and M. Z. Win, ‘‘Neighboring cell search for LTE systems,‘‘ IEEE Trans. Wireless Commun., vol. 11, no. 3, pp. 908-919, Mar. 2012.

Selected and Recent Conference Papers

1. K. Ma, G. Li, B. Zhao, and Y. Shen, ‘‘Joint formation and resource optimization for multi-agent sensing systems,‘‘ in Proc. IEEE Int. Conf. Commun., Denver, CO, USA, Jun. 2024, pp. 1–6.

2. M. Huang, R. Zhang, X. Li, and Y. Shen, ‘‘Fast cryo-EM image alignment algorithm base on harmonic analysis,‘‘ in Proc. IEEE Int. Conf. Acoust., Speech and Signal Process., Seoul, Korea, Apr. 2024, pp. 1–5.

3. L. Yu, Y. Qiu, Q. Yao, Y. Shen, X. Zhang, and J. Wang, ‘‘Robust communicative multi-agent reinforcement learning with active defense,‘‘ in Proc. AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, Feb. 2024, pp. 1–8.

4. N. Zhao, Q. Chang, X. Shen, Y. Wang, and Y. Shen, ‘‘A joint target sensing and communication scheme in bistatic networks,‘‘ in Proc. IEEE Global Commun. Conf. Workshop, Kuala Lumpur, Malaysia, Dec. 2023, pp. 1–5.

5. Q. Gu, J. Yu, Z. Lin, J. Bai, B. Zhang, Y. Shen, J. Wang, and Y. Wang, ‘‘Multi-drone radio map building via single-anchor ultra-wideband localization network,‘‘ in Proc. IEEE Int. Conf. on Autom. Sci. and Eng., Auckland, New Zealand, Aug. 2023, pp. 1-8.

6. Y. Yan, Y. Dong, K. Ma, and Y. Shen, ‘‘Approximation error back-propagation for q-function in scalable reinforcement learning with tree dependence structure,‘‘ in Proc. IEEE Int. Conf. Acoust., Speech and Signal Process., Rhodes Island, Greece, Jun. 2023, pp. 1–5.

7. X. Shen, N. Zhao, and Y. Shen, ‘‘On the performance tradeoff of an ISAC system with finite blocklength,‘‘ in Proc. IEEE Int. Conf. Commun., Rome, Italy, May 2023, pp. 1–6.

8. Y. Xu, L. Zhao, J. Yu, Y. Shen, and Y. Wang, ‘‘A framework to co-optimize robot exploration and task planning in unknown environments,‘‘ in Proc. IEEE Int. Conf. Robot. Autom., London, United Kingdom, May-Jun. 2023, pp. 1–6.

9. L. Xu, X. Shen, L. Wang, and Y. Shen, ‘‘A distributed relative localization scheme based on geometry merging priority,‘‘ in Proc. IEEE Global Commun. Conf., Rio de Janeiro, Brazil, Dec. 2022, pp. 1-6.

10. C. Pan, Y. Yan, Z. Zhang, and Y. Shen, ‘‘Flexible formation control using Hausdorff distance: a multi-agent reinforcement learning approach,‘‘ in Proc. Eur. Signal Process. Conf., Belgrade, Serbia, Sep. 2022, pp. 1-5.

11. Y. Xu, J. Yu, J. Tang, J. Qiu, J. Wang, Y. Shen, Y. Wang, and H. Yang, ‘‘Explore-bench: Data sets, metrics and evaluations for frontier-based and deep-reinforcement-learning-based autonomous exploration,‘‘ in Proc. IEEE Int. Conf. Robot. Autom., Philadelphia, PA, United States, May 2022, pp. 1-6.

12. H. Song, J. Yu, J. Qiu, Z. Sun, K. Lang, Q. Luo, Y. Shen, and X. Wang, ‘‘Multi-UAV disaster environment coverage planning with limited-endurance,‘‘ in Proc. IEEE Int. Conf. Robot. Autom., Philadelphia, PA, United States, May 2022, pp. 1-6.

13. Y. Yan, X. Li, X. Qiu, J. Qiu, J. Wang, Y. Wang, and Y. Shen, ‘‘Relative distributed formation and obstacle avoidance with multi-agent reinforcement learning,‘‘ in Proc. IEEE Int. Conf. Robot. Autom., Philadelphia, PA, United States, May 2022, pp. 1-6.

14. Y. Li, H. Zhao, D. Sun, and Y. Shen, ‘‘On the lossless array signal dimension reduction for dynamic localization systems,‘‘ in Proc. IEEE Int. Conf. Commun., Seoul, South Korea, May 2022, pp. 1-6.

15. K. Ma, J. Wang, Y. Wang, and Y. Shen, ‘‘On the performance bound of multi-agent formation with localization uncertainty,‘‘ in Proc. IEEE Int. Conf. Commun., Seoul, South Korea, May 2022, pp. 1-6.

16. L. Xu, X. Shen, T. X. Han, R. Du, and Y. Shen, ‘‘An efficient relative localization method via geometry-based coordinate system selection,‘‘ in Proc. IEEE Int. Conf. Commun., Seoul, South Korea, May 2022, pp. 1-6.

17. T. Wang, Y. Li, J. Liu, and Y. Shen, ‘‘A learning-based NLOS mitigation method for single-anchor SLAM,‘‘ in Proc. European Conf. on Antennas and Propagation, Madrid, Spain, Mar. 2022, pp. 1-5.

18. Y. Li, S. Mazuelas, and Y. Shen, ‘‘A deep learning approach for generating soft range information from RF data,‘‘ in Proc. IEEE Global Commun. Conf. Workshop, Madrid, Spain, Dec. 2021, pp. 1-6

19. T. Wang, Y. Man, and Y. Shen, ‘‘A deep learning based AoA estimation method in NLOS environments,‘‘ in Proc. IEEE Global Commun. Conf. Workshop, Madrid, Spain, Dec. 2021, pp. 1-6.

20. K. Gu, J. Wang, Y. Wang, and Y. Shen, ‘‘On the performance of multi-agent detection in mobile delay-sensitive networks,‘‘ in Proc. IEEE Global Commun. Conf., Madrid, Spain, Dec. 2021, pp. 1-6.

21. X. Qiu, X. Li, J. Wang, Y. Wang, and Y. Shen, ‘‘A DRL based distributed formation control scheme with stream-based collision avoidance,‘‘ in Proc. IEEE Int. Conf. Autonomous Systems, Montreal, Canada, Aug. 2021, pp. 1-6. Invited Paper.

22. K. Ma and Y. Shen, “Distributed formation algorithm based on integrated localization and control,” in Proc. IEEE Global Telecomm. Conf., Taipei, China, Dec. 2020, pp. 1–5.

23. X. Li, X. Qiu, J. Wang, and Y. Shen, “A deep reinforcement learning based approach for autonomous overtaking,” in Proc. IEEE Int. Conf. Commun. Workshop, Dublin, Ireland, Jun. 2020, pp. 1–5.

24. C. Mao, K. Lin, T. Yu, and Y. Shen, “A probabilistic learning approach to UWB ranging error mitigation,” in Proc. IEEE Global Telecomm. Conf., Abu Dhabi, United Arab Emirates, Dec. 2018, pp. 1–6.

25. H. Hu and Y. Shen, “Resource allocation for mobile sensing in wireless networks,” in Proc. IEEE Global Telecomm. Conf., Washington, USA, Dec. 2016, pp. 1–6.

26. Y. Shen, S. Mazuelas, and M. Z. Win, ‘‘A theoretical foundation of network navigation,‘‘ in Proc. IEEE Global Commun. Conf., Houston, TX, Dec. 2011, pp. 1–6, Best Paper Award.
    

27. Y. Shen and M. Z. Win, ‘‘On the use of multipath geometry for wideband cooperative localization,‘‘ in Proc. IEEE Global Commun. Conf., Honolulu, HI, Dec. 2009, pp. 1–6.
    

28. S. Mazuelas, Y. Shen, and M. Z. Win, ‘‘Wideband cooperative localization via belief condensation,‘‘ in Proc. IEEE Int. Conf. on Ultra-Wideband, Bologna, Italy, Sep. 2011, pp.150–154, Best Paper Award.
    

29. Y. Shen, H. Wymeersch, and M. Z. Win, ‘‘Fundamental limits of wideband cooperative localization via Fisher information,‘‘ in Proc. IEEE Wireless Commun. and Networking Conf., Kowloon, Hong Kong, Mar. 2007, pp. 3951–3955, Best Paper Award.
    

Theses

• Ph.D. thesis: Network Localization and Navigation: Theoretical Framework, Efficient Operation, and Security Assurance, EECS Department, MIT. Advisor: Professor Moe Z. Win.

• Master's thesis: Fundamental Limits of Wideband Localization, EECS Department, MIT. Advisor: Professor Moe Z. Win. Ernst A. Guillemin Thesis Award (first place).

• Bachelor's thesis: Vehicular Parameter Estimation for Video Traffic-Flow Surveillance Systems, EE Department, Tsinghua University. Advisor: Professor Xiqin Wang. Outstanding Thesis Award.