41 Journals and 41 International Conference Papers

1. T. Otsuka (M2@TUS), A. Li (Corresponding Author), H. Takese, K. Inaba, K. Aihara, and M. Hasegawa, "High-Speed Resource Allocation Algorithm Using a Coherent Ising Machine for NOMA Systems," IEEE Transactions on Vehicular Technology (IF: 6.8), vol. 73, no. 1, pp. 707-723, Jan. 2024.

2. M. Sugiyama (M2@TUS), T. Mihana, A. Li (Corresponding Author), M. Naruse, and M. Hasegawa, "Ultrafast Resource Allocation by Parallel Bandit Architecture Using Chaotic Lasers for Downlink NOMA Systems," IEEE ACCESS (IF: 3.9), vol. 12, pp. 18073-18086, Jan. 2024.

3. I. Urabe (M2@TUS), A. Li (Corresponding Author), M. Fujisawa, S.-J. Kim, and M. Hasegawa, "Combinatorial MAB-Based Joint Channel and Spreading Factor Selection for LoRa Devices," Sensors (IF: 3.9), vol. 23, no. 15, 25 pages, July 2023.

4. S. Hasegawa (D3@TUS), R. Kitagawa (M2@TUS), A. Li (Corresponding Author), S.-J. Kim, Y. Watanabe, Y. Shoji, and M. Hasegawa, "Multi-Armed-Bandit Based Channel Selection Algorithm for Massive Heterogeneous IoT Networks," Applied Sciences (IF: 2.679), vol. 12, no. 15, 19 pages, July 2022.

5.  M. Sugiyama (M1@TUS), A. Li (Corresponding Author), Z. Duan, M. Naruse, and M. Hasegawa, "BER minimization by user pairing in downlink NOMA using laser chaos decision-maker," Electronics (IF: 2.690), vol. 11, no. 9,  16 pages, Apr. 2022.

6. D. Yamamoto (M2@TUS), H. Furukawa (M2@TUS), A. Li, Y. Ito, K. Sato, S. Hasegawa, Y. Watanabe, Y. Shoji, S.-J. Kim, M. Hasegawa, "Performance Evaluation of Reinforcement Learning Based Distributed Channel Selection Algorithm in Massive IoT Networks," IEEE ACCESS  (IF: 3.367),  vol. 10, pp. 67870-67882, June 2022.

7. H. Kanemasa (M1@TUS), A. Li, Y. Ito, N. Chauvet, M. Naruse, and M. Hasegawa, "Dynamic Channel Bonding in WLANs by Hierarchical Laser Chaos Decision Maker, " IEICE Nonlinear Theory and Its Applications (NOLTA), vol. 13, no. 1, pp. 84-100, Jan. 2022.  

8. F. Peper, K. Leibnitz, C. Tanaka (M2@TUS), K. Honda (M1@TUS), M. Hasegawa, K. Theofilis, A. Li, and N. Wakamiya, "High-Density Resource-Restricted Pulse-Based IoT Networks," IEEE Transactions on Green Communications and Networking (IF: 4.8), vol. 5, no. 4, pp. 1856-1868, Dec. 2021. 

9. C. Tanaka (M2@TUS), K. Honda (M1@TUS), A. Li, F. Peper, K. Leibnitz, K. Theofilis, N. Wakamiya, and M. Hasegawa, "Performance Evaluation of Pulse-Based Multiplexing Protocol Implemented on Massive IoT Devices," IEICE Nonlinear Theory and Its Applications (NOLTA), vol. 12, no. 4, pp. 726-737, Oct. 2021.

10. K. Kurasawa (M2@TUS), K. Hashimoto (M1@TUS), A. Li, K. Sato, K. Inaba, H. Takesue, K. Aihara and M. Hasegawa, "A High-Speed Channel Assignment Algorithm for Dense IEEE 802.11 Systems via Coherent Ising Machine," IEEE Wireless Communications Letters (IF: 4.348), vol. 10, no. 8, pp. 1682-1686, Aug. 2021.  

Under Revision/Review: 9

1. A. Li, I. Urabe, M. Fujisawa, S. Hasegawa, H. Yasuda, S.-J. Kim, and M. Hasegawa, "A Lightweight Transmission Parameter Selection Scheme Using Reinforcement Learning for LoRaWAN," arXiv:2208.01824, 16 pages. (Under Revision)

2. T. Fujita (M2@TUS), A. Li (Corresponding Author), Q. V. Do, T. Otsuka, S.-G. Jeong, W.-J. Hwang, H. Takesue, K. Inaba, K. Aihara and M. Hasegawa, (Keywords: UAV, Quantum Annealing), 14 pages. (Under Review)

3. Z. Wang, G. Han, L. Liu, and  A. Li, "Sample Generation and Refinement Method with Class Boundary Enhancement for Imbalanced Fault Diagnosis in Industrial IoT," 14 pages. (Under Revision)

4. H. Ando (M1@TUS), A. Li, M. Arai, M. Hasegawa, (Keywords: Dynamic Channel Bonding, Laser Chaos Decision Maker), 4 Pages  (Under Review)

5. F. Zhang, G. Han, L. Liu, J. Jiang, and A. Li, (Keywords: IIoT, Resource Allocation, Decentralized Learning), 18 pages (Under Review)

6. G. Han, Y. Huang, Y. He, F. Li, A. Li, (Keywords: Sensor Networks, Reinforcement Learning, Trust Scheme), 11Pages (Under Review)

7. Z. Zhang, F. Gui, A. Li, et al., (Keywords: Machine Learning, Anticancer Peptides, Classification), 18 pages (Under Review)

8. J. Yuan, J. Huang, Z. Wang, Z. Pan, X. Huang, L. Dou, A. Li, X. Li, Z. Zhang, Q. Zhang, and F. Cui,  (Keywords: Neural Network, mRNA), 21 pages (Under Review)

9. H. Zhong, A. Li, M. Pan, et al., (Keywords: Quantum), 13 Pages. (Under review)

FY 2024

10. Y. He, G. Han, A. Li, T. Taleb, C. Wang, and H. Yu, "A Federated Deep Reinforcement Learning-Based Trust Model in Underwater Acoustic Sensor Networks," IEEE Transactions on Mobile Computing (IF: 7.9), vol.23, no.5, pp. 5150-5161, May 2024. 

11. M. Fujisawa (M2@TUS), H. Yasuda, R. Isogai, Y. Yoshida, M. Arai, A. Li, S. Kim, and M. Hasegawa, "An Efficient Beaconing of Bluetooth Low Energy by Decision Making Algorithm," Discover Artificial Intelligence, vol. 4, no. 26, 15 pages, Apr. 2024.

FY 2023

12. G. Han, W. Wang, Z. Xu, A. Li, "Data Augmentation and Individual Identification Method for Emitters Using Contour Stella Image Mapping,"  IEEE Transactions on Cognitive Communications and Networking (IF: 8.6), 11 pages, Mar. 2024.

13. G. Han, R. Xia, H. Wang, A. Li, "Source Location Privacy Protection Algorithm Based on Polyhedral Phantom Routing in Underwater Acoustic Sensor Networks," IEEE Internet of Things Journal (IF: 10.238), vol.11, no.5, pp. 8459-8472, Mar. 2024.

14. T. Otsuka (M2@TUS), A. Li (Corresponding Author), H. Takese, K. Inaba, K. Aihara, and M. Hasegawa, "High-Speed Resource Allocation Algorithm Using a Coherent Ising Machine for NOMA Systems," IEEE Transactions on Vehicular Technology (IF: 6.8),  vol. 73, no. 1, pp. 707-723, Jan. 2024.

15. M. Sugiyama (M2@TUS), T. Mihana, A. Li (Corresponding Author), M. Naruse, and M. Hasegawa, "Ultrafast Resource Allocation by Parallel Bandit Architecture Using Chaotic Lasers for Downlink NOMA Systems," IEEE ACCESS (IF: 3.9), vol. 12, pp. 18073-18086, Jan. 2024.

16. H. Wang, G. Han, A. Gong, A. Li, Y. Hou, "A Backbone Network Construction-Based Multi-AUV Collaboration Source Location privacy Protection Algorithm in UASNs," IEEE Internet of Things Journal  (IF: 10.238), vol. 10, no. 20, pp. 18198-18210, Oct. 2023. 

17. F. Zhang, G. Han, A. Li, C. Lin, and L. Liu "QoS-driven distributed cooperative data offloading and heterogeneous resource scheduling for IIoT," IEEE Internet of Things Magazine, vol. 6, no. 3, pp. 118-124, Sept. 2023.

18. X. Zhou, A. Li (Corresponding Author), G. Han, "An Intelligent Multi-Local Model Bearing Fault Diagnosis Method Using Small Sample Fusion," Sensors (IF: 3.9), 21 pages, Aug. 2023. 

19. I. Urabe (M2@TUS), A. Li (Corresponding Author), M. Fujisawa, S.-J. Kim, and M. Hasegawa, "Combinatorial MAB-Based Joint Channel and Spreading Factor Selection for LoRa Devices," Sensors (IF: 3.9), vol. 23, no. 15, 25 pages, July 2023.

20. H. Wang, G. Han, Y. Liu, A. Li, J. Jiang, "AUV-Assisted Stratified Source Location Privacy Protection Scheme Based on Network Coding in UASNs," IEEE Internet of Things Journal (IF: 10.238), vol. 10, no. 12, pp. 10636-10648, June 2023.

FY 2022

21. J. Jiang, S. Hua, G. Han, A. Li, and C. Lin, "Controversy adjudication-based trust management mechanism in the internet of a things," IEEE Internet of Things Journal  (IF: 10.238), vol. 10, no. 3, pp. 2603-2614, Feb. 2023.

22. N. Fujita (M2@UTokyo), A. Rohm, T. Mihana, R. Horisaki, A. Li, M. Hasegawa, and M. Naruse, "Pairing optimization via statistics: algebraic structure in pairing problems and its application to performance enhancement," Entropy  (IF: 2.524), vol. 25, no. 1, 19 pages, Jan. 2023.

23. X. Wang, A. Li (Corresponding Author), G. Han "A Deep Learning Based Fault Diagnosis of Industrial Bearing Using Multi-Source Information," Applied Sciences (IF: 2.679), vol. 13, no. 2, 26 pages, Jan. 2023. 

24. S. Hasegawa (D3@TUS), K. Kuwata (M2@TUS), A. Li, Y. Watanabe, Y. Shoji, and M. Hasegawa, "UAV data delivery and routing optimization in piggy-back network," IEICE Nonlinear Theory and Its Applications (NOLTA), vol. 14, no. 1, pp. 66-77, Jan. 2023.

25. S. Hasegawa (D3@TUS), R. Kitagawa (M2@TUS), A. Li (Corresponding Author), S.-J. Kim, Y. Watanabe, Y. Shoji, and M. Hasegawa, "Multi-Armed-Bandit Based Channel Selection Algorithm for Massive Heterogeneous IoT Networks," Applied Sciences (IF: 2.679), vol. 12, no. 15, 19 pages, July 2022.

26. D. Yamamoto (M2@TUS), H. Furukawa (M2@TUS), A. Li, Y. Ito, K. Sato, S. Hasegawa, Y. Watanabe, Y. Shoji, S.-J. Kim, M. Hasegawa, "Performance Evaluation of Reinforcement Learning Based Distributed Channel Selection Algorithm in Massive IoT Networks," IEEE ACCESS  (IF: 3.367),  vol. 10, pp. 67870-67882, June 2022.

27. N. Fujita (M2@UTokyo), N. Chauvet, A. Rohm, R. Horisaki, A. Li, M. Hasegawa, and M. Naruse, "Efficient pairing in unknown environments: minimal observations and TSP-based optimization," IEEE ACCESS (IF: 3.367), vol. 10, pp. 57630-57640, May 2022.

28.  M. Sugiyama (M1@TUS), A. Li (Corresponding Author), Z. Duan, M. Naruse, and M. Hasegawa, "BER minimization by user pairing in downlink NOMA using laser chaos decision-maker," Electronics (IF: 2.690), vol. 11, no. 9,  16 pages, Apr. 2022.

29. X. Wang, A. Li, G. Han, and Y. Cui, "A Motor Fault Diagnosis Method Based on Industrial Wireless Sensor Networks," Journal of Computers, vol. 33, no. 2, pp. 127-136, Apr. 2022. 

FY 2021

30. Y. Horiguchi (M2@TUS), Y. Ito, A. Li, and M. Hasegawa, “A Localization Method Based on Partial Correlation Analysis for Dynamic Wireless Network,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (EA) (IF: 0.338), vol. E105.A, no. 3, pp. 594-597, Mar. 2022. 

31. H. Kanemasa (M1@TUS), A. Li, Y. Ito, N. Chauvet, M. Naruse, and M. Hasegawa, "Dynamic Channel Bonding in WLANs by Hierarchical Laser Chaos Decision Maker, " IEICE Nonlinear Theory and Its Applications (NOLTA), vol. 13, no. 1, pp. 84-100, Jan. 2022.  

32. Z. Duan (M2@TUS), A. Li, N. Okada (M2@TUS), Y. Ito, N. Chauvet, M. Naruse, and M. Hasegawa, "User Pairing Using Laser Chaos Decision Maker for NOMA Systems," IEICE Nonlinear Theory and Its Applications (NOLTA), vol. 13, no. 1, pp. 72-83, Jan. 2022.

33. F. Peper, K. Leibnitz, C. Tanaka (M2@TUS), K. Honda (M1@TUS), M. Hasegawa, K. Theofilis, A. Li, and N. Wakamiya, "High-Density Resource-Restricted Pulse-Based IoT Networks," IEEE Transactions on Green Communications and Networking  (IF: 4.8), vol. 5, no. 4, pp. 1856-1868, Dec. 2021. 

34.  C. Tanaka (M2@TUS), K. Honda (M1@TUS), A. Li, F. Peper, K. Leibnitz, K. Theofilis, N. Wakamiya, and M. Hasegawa, "Performance Evaluation of Pulse-Based Multiplexing Protocol Implemented on Massive IoT Devices," IEICE Nonlinear Theory and Its Applications (NOLTA), vol. 12, no. 4, pp. 726-737, Oct. 2021.

35. K. Kurasawa (M2@TUS), K. Hashimoto (M1@TUS), A. Li, K. Sato, K. Inaba, H. Takesue, K. Aihara and M. Hasegawa, "A High-Speed Channel Assignment Algorithm for Dense IEEE 802.11 Systems via Coherent Ising Machine," IEEE Wireless Communications Letters (IF: 4.348), vol. 10, no. 8, pp. 1682-1686, Aug. 2021.  

FY 2020

36. T. Onishi (M2@TUS), A. Li, S. Kim, and M. Hasegawa, "A Reinforcement Learning Based Collision Avoidance Mechanism to Superposed LoRa Signals in Distributed Massive IoT Systems," IEICE Communications Express  (IF: 0.3),  vol. 10, no. 5, pp. 289-294, Mar. 2021. 

37.  N. Okada (M1@TUS), M. Hasegawa, N. Chauvet, A. Li and M. Naruse, "Analysis on Effectiveness of Surrogate Data-Based Laser Chaos Decision Maker," Hindawi Complexity (IF: 2.833), vol. 2021, 9 pages, Feb. 2021. 

~FY 2019

38. A. Li, G. Han and T. Ohtsuki, “A Fast Blind Scheme With Full Rendezvous Diversity for Heterogeneous Cognitive Radio Networks,” IEEE Transactions on Cognitive Communications and Networking (IF: 6.359), vol. 5, no. 3, pp. 805-818, May 2019.

39.  A. Li, G. Han, and T. Ohtsuki, “Multiple radios for fast rendezvous in heterogeneous cognitive radio networks,” IEEE Access (IF: 3.367), vol. 7, pp. 37342-37359, March 2019.

40.  A. Li and G. Han, “Full-Duplex-Based Control Channel Establishment for Cognitive Internet of Things,” IEEE Communications Magazine (IF:11.05), vol. 57, no.3, pp. 70-75, March 2019.

41. G. Jia and G. Han, A. Li, and J. Du, “SSL: Smart street lamp based on fog computing for smarter cities,” IEEE Transactions on Industrial Informatics (IF:11.648), vol. 14, no.11, pp. 4995-5004, July 2018.

42.  A. Li and G. Han, “A fairness-based MAC protocol for 5G cognitive radio ad hoc networks,” Journal of Network and Computer Applications (IF:6.281), vol. 111, pp. 28-34, June 2018.

43. A. Li, G. Han, J. Rodrigues, and S. Chan, “Channel hopping protocols for dynamic spectrum management in 5G technology,” IEEE Wireless Communications (IF:11.98), vol. 24, no. 5, pp. 102-109, October 2017.

44.  L. Wan, G. Han, D. Zhang, A. Li, and N. Feng, “Distributed DOA estimation for arbitrary topology structure of mobile wireless sensor network using cognitive radio,” Wireless Personal Communications (IF:1.563), vol. 93, no. 2, pp. 431-445, March 2017.

45.  A. Li, G. Han, L. Wan, and L. Shu, “A Sensitive Secondary Users Selection Algorithm for Cognitive Radio Ad Hoc Networks,” Sensors (IF:3.576), vol. 16, no. 4, pp. 445 (1-14), April 2016.

46.  X. Guan, A. Li, Z. Cai, and T. Ohtsuki, “Coalition graph game for robust routing in cooperative cognitive radio networks,” Mobile Networks and Applications (IF:3.424), vol. 20, no. 2, pp. 147-156, April 2015.

47. A. Li, Z. Yang, R. Qi, F. Zhou, and G. Han, “Code synchronization algorithm based on segment correlation in spread spectrum communication,” Algorithms (IF:2.36), vol. 8, no. 4, pp. 870-894, December 2015.

48.  J. Wang, G. Jia, A. Li, G. Han, and L. Shu, “Behavior aware data placement for improving cache line level locality in cloud computing,” Journal of Internet Technology (IF:1.005), vol. 16, no. 4, pp. 705-716, July 2015.

49.  G. Jia, G. Han, A. Li, and J. Lloret, “Coordinate channel-aware page mapping policy and memory scheduling for reducing memory interference among multimedia applications,” IEEE System Journal (IF:3.931), vol. 11, no. 4, pp. 2839-2851, May 2015.

50. G. Jia, G. Han, J. Jiang, and A. Li, “Dynamic time-slice scaling for addressing OS problems incurred by main memory DVFS in intelligent system,” Mobile Networks and Applications  (IF:3.424), vol. 20, no. 2, pp. 157-168, April 2015.

FY 2024

1. S. Sugiyama (B4@UEC), K. Makizoe (M2@TUS), M. Arai, M. Hasegawa, T. Otsuki, A. Li, "Fully Autonomous Distributed Transmission Parameter Selection Method for Mobile IoT Applications Using Deep Reinforcement Learning," IEEE VTC2024-Spring (The 2024 IEEE 99th Vehicular Technology Conference ), Singapore, 5 pages, June 2024.

2. H. Zhong, A. Li, M. Pan, et al., "Quantum," 2024. (Under Review)

3. H. Anto, A. Li, M. Arai, M. Hasegawa, "An Application of Laser Chaos Decision Maker to Primary Channel Selection in Dynamic Channel Bonding," Dec. 2024. (In preparation)

FY 2023

4. M. Sugiyama (M2@TUS), A. Li, M. Arai, T. Mihana, M. Hasegawa, "Ultrafast channel allocation by a Parallel Laser Chaos Decision-Maker for Downlink NOMA Systems," The 10th Japan-Korea Joint Workshop on Complex Communication Science, Jan. 2024. 

5. T. Fujita (M2@TUS), A. Li, Q. V. Do, T. Otsuka, S.-G. Jeong, W.-J. Hwang, H. Takesue, K. Inaba, K. Aihara, and M. Hasegawa, "Performance Evaluation of Resource Allocation Optimization in UAV Network with Ising Machine," The 10th Japan-Korea Joint Workshop on Complex Communication Science, Jan. 2024. (Best Student Paper Award)

6. M. Alishahi, P. Fortier, M. Zeng, F. Fang, A. Li, "Latency Minimization in Wireless-Powered Federated Learning Networks with NOMA," IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC), 5 pages, Toronto, ON, Canada, Sept. 2023.

7. M. Sugiyama (M2@TUS), A. Li, M. Naruse, M. Hasegawa, "Ultrafast channel allocation in downlink NOMA using a parallel array of laser chaos decision-makers," IEICE The 2023 International Symposium on Nonlinear Theory and Its Applications (IEICE NOLTA2023), 4 pages, Catania, Italy, Sept. 2023. (Best Student Paper Award)

8. T. Fujita (M2@TUS), A. Li, Q. Do, S. Jeong, W. Hwang, H. Takesue, K. Inaba, K. Aihara, M. Hasegawa, "Resource Allocation for Large Scale UAV Networks Using Coherent Ising Machine," IEICE The 2023 International Symposium on Nonlinear Theory and Its Applications (IEICE NOLTA2023), 4 pages, Catania, Italy, Sept. 2023. (Student Paper Award)

9. M. Fujisawa (M2@TUS), H. Yasuda, R. Isogai, Y. Yoshida, A. Li, S. Kim, and M. Hasegawa, "Design and Implementation of MAB Based Power Consumption Optimization Method on Bluetooth Low Energy," IEICE The 2023 International Symposium on Nonlinear Theory and Its Applications (IEICE NOLTA2023), 4 pages, Catania, Italy, Sept. 2023.

FY 2022

10. T. Osada (B4@TUS), H. Yasuda, A. Li, S.-J. Kim, and M. Hasegawa, "Design and Implementation of Decentralized TDMA for Low Power IoT Devices," The 5th International Conference on Artificial Intelligence in Information and Communication (IEEE ICAIIC 2023), 5 pages, Bali, Indonesia, Feb. 2023. 

11. T. Otsuka (M2@TUS), A. Li,  H. Takesue, K. Inaba, K. Aihara, and M. Hasegawa, "High-Speed Optimization of NOMA System Using Coherent Ising Machine in Dynamic Environment," 2023 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'23), Honolulu, Hawaii, Feb. 2023. (Student Paper Award)

12. I. Urabe (M2@TUS), M. Fujisawa (M1@TUS), A. Li, S.-J Kim, and M. Hasegawa, "Experimental Evaluation of SF-Channel Selection Based on Autonomous Distributed Reinforcement Learning for LoRaWAN Devices," The 9th Japan-Korea Joint Workshop on Complex Communication Sciences, Gyeong Ju, Korea, Jan. 2023. 

13. M. Sugiyama (M1@TUS), A. Li, M. Naruse, and M. Hasegawa, "Scalable Channel Allocation in Downlink NOMA Using Parallel Array of Laser Chaos Decision-Maker," The 37th International Conference on Information Networking (ICOIN 2023), 6 pages, Bangkok, Kingdom of Thailand, Jan. 2023.

14. N. Fujita (M2@TUS), A. Rohm, T. Mihana, R. Horisaki, A. Li, M. Hasegawa, and M. Naruse, "An efficient observation algorithm that achieves the minimum number of measurements for pairing optimization," IEICE The 2022 International Symposium on Nonlinear Theory and Its Applications (IEICE NOLTA2022), 4 pages, Virtual, Dec. 2022. 

15. T. Otsuka (M2@TUS), A. Li, H. Takesue, K. Inaba, K. Aihara, and M. Hasegawa, "Fast Resource Allocation for NOMA System Using Coherent Ising Machine," IEICE The 2022 International Symposium on Nonlinear Theory and Its Applications (IEICE NOLTA2022), 4 pages, Virtual, Dec. 2022.

16. A. Li, Z. Duan, M. Naruse, and M. Hasegawa, "Uplink Grant-Free NOMA Using Laser Chaos Decision Maker," IEICE NOLTA2022 (IEICE The 2022 International Symposium on Nonlinear Theory and Its Applications), 4 pages, Virtual, Dec. 2022.

17. I. Urabe (M2@TUS), A. Li., S.-J. Kim, and Mikio Hasegawa, "Design and Implementation of SF Selection Based on Distance and SNR Using Autonomous Distributed Reinforcement Learning in LoRa Networks," 4th EAI International Conference on Artificial Intelligence for Communications and Networks, 8 pages, Hiroshima, Japan, Nov. 2022.

18. A. Li, "Deep Reinforcement Learning Based Resource Allocation for LoRaWAN," IEEE VTC2022-Fall (IEEE 96th Vehicular Technology Conference), 4 pages, London/Beijing, Sept. 2022.

19. T. Otsuka (M2@TUS), A. Li, H. Takesue, K. Inaba, K. Aihara, and M. Hasegawa, "High-Speed Resource Allocation Optimization of NOMA System via Coherent Ising Machine," The 18th International Conference on Multimedia Information Technology and Applications (MITA 2022), 1 page, Virtual, July 2022.

FY 2021

20. M. Sugiyama (B4@TUS), A. Li, Z. Duan, M. Naruse and M. Hasegawa, "BER Minimization by User Pairing in Downlink NOMA Using Laser Chaos-Based MAB Algorithm," IEEE International Conference on Artificial Intelligence in Information and Communication (IEEE ICAIIC), 6 pages, Virtual, Feb. 2022.

21. A. Li, M. Fujisawa, I Urabe, R. Kitagawa, S. Kim, and M. Hasegawa, "A Lightweight Decentralized Reinforcement Learning Based Channel Selection Approach for High-Density LoRaWAN," IEEE DySPAN (IEEE International Symposium on Dynamic Spectrum Access Networks), 9-14, Virtual, Dec. 2021.

22. K. Kuwata (M2@TUS), Y. Ito, A. Li, Y. Shoji, Y. Watanabe, S. Hasegawa and M. Hasegawa, "Piggy-back network to enable Beyond5G society supported by autonomous mobilities: evaluation of end-to-end throughput on optimized piggy-back networks," IEEE The 24th International Symposium on Wireless Personal Multimedia Communications (WPMC), 5 pages, Okayama, Japan, Dec. 2021.

23. N. Fujita (M1@UTokyo), N. Chauvet, A. Rohm, R. Horisaki, A. Li, M. Hasegawa, and M. Naruse, "Proposal of efficient algorithms for large scale pairing," IEICE International Conference on Emerging Technologies for Communications (IEICE ICETC), 4 pages, Virtual, Dec. 2021. (Student Presentation Award)

24. B. Li, Q. Du, J. Song, A. Li, X. Ma, "Locating false data injection attacks on smart grids using D-FACTS devices," Springer The 19th International Conference on Service-Oriented Computing (ICSOC), 15 pages, Virtual, Nov. 2021.

25.  K. Honda (M1@TUS), F. Peper, A. Nakamura, A. Li, Y. Ito, K. Leibnitz, K. Theofilis, N. Wakamiya, M. Hasegawa, "Design and Implementation of Pulse-Based Protocol with Chirp Spread Spectrum for Massive IoT," IEEE The 20th International Symposium on Communications and Information Technologies (ISCIT), 4 pages, Virtual, Oct. 2021.

26. K. Hashimoto (M1@TUS), K. Kurasawa (M2@TUS), Y. Ito, A. Li, K. Inaba, H. Takesue, K. Aihara, and M. Hasegawa, "Performance Evaluation of High-Speed Channel Assignment in Dense Wireless Wireless LANs by Coherent Ising Machine," The 17th International Conference on Multimedia Information Technology and Applications (MITA 2021), 1 page, Virtual, July 2021.

27. R. Kitagawa (M2@TUS), A. Li, Y. Ito, S. Hasegawa, S. Kim, and M. Hasegawa, "Experimental Evaluation of Reinforcement Learning Methods Based Channel Selection in Distributed Heterogeneous IoT Systems," The 17th International Conference on Multimedia Information Technology and Applications (MITA 2021), pp. 1 page, Virtual, July 2021.

28.  H. Kanemasa (M1@TUS), A. Li, M. Naruse, N. Chauvet, M. Hasegawa, "Dynamic Channel Bonding Using Laser Chaos Decision Maker in WLANs," IEEE International Conference on Artificial Intelligence in Information and Communication (IEEE ICAIIC), 5 pages, Virtual, April 2021.

29. Z. Duan (M2@TUS), N. Okada (M2@TUS), A. Li, M. Naruse, N. Chauvet, M. Hasegawa, "High-speed Optimization of User Pairing in NOMA System Using Laser Chaos Based MAB Algorithm," IEEE International Conference on Artificial Intelligence in Information and Communication (IEEE ICAIIC), 5 pages, Virtual, April 2021.  (Excellent Paper Award)

30. T. Otsuka (M1@TUS), K. Kurasawa(M2@TUS), Z. Duan (M2@TUS), A. Li, K. Sato, H. Takesue, K. Aihara, K. Inaba, M. Hasegawa, "Coherent Ising Machine Based Optimal Channel Allocation and User Pairing in NOMA Networks," IEEE International Conference on Artificial Intelligence in Information and Communication (IEEE ICAIIC), 4 pages, Virtual, April 2021.

FY 2020

31.  H. Furukawa (M2@TUS), A. Li, Y. Shoji, Y. Watanabe, S. Kim, K. Sato, Y. Andreopoulos, and M. Hasegawa, "A Channel Selection Algorithm Using Reinforcement Learning for Mobile Devices in Massive IoT System," IEEE Consumer Communications & Networking Conference (IEEE CCNC), 2 pages, Virtual, Jan. 2021.

32. H. Furukawa (M2@TUS), A. Li, Y. Shoji, Y. Watanabe, S. Kim, K. Sato, Y. Andreopoulos, and M. Hasegawa, "Implementation and Experimental Evaluation of A Reinforcement Learning Based Channel Selection on A Mobile IoT System" IEICE International Conference on Emerging Technologies for Communications (IEICE ICETC), 1 page, Virtual, Dec. 2020.

33.  F. Peper, K. Leibnitz, K. Theofilis, M. Hasegawa, N. Wakamiya, C. Tanaka (M2@TUS), J. Teramae, S. Sekizawa, A. Li, "On High-Density Resource-Restricted Pulse-Based IoT Networks," IEEE Global Communications Conference (IEEE GLOBECOM), pp. 1-6, Virtual, Dec. 2020.

34. J. Song, B. Li, Y. Wu, Y. Shi, and A. Li, "ReAL: A New ResNet-ALSTM Based Intrusion Detection System for the Internet of Energy," IEEE 45th Conference on Local Computer Networks (IEEE LCN), 6 pages, Virtual, Nov. 2020.

35. C. Tanaka (M2@TUS),  A. Li, F. Peper, K. Leibnitz, K. Theofilis, N. Wakamiya, and M. Hasegawa, "Implementation of Pulse-based Multiplexing Protocol for Massive IoT," The 2020 International Symposium on Nonlinear Theory and Its Applications (NOLTA2020), 4 pages, Virtual, Nov. 2020.

~FY 2019

36. A. Li, F. H. Panahi, T. Ohtsuki, and G. Han, “Learning-based optimal channel selection in the presence of jammer for cognitive radio networks,” IEEE Global Communications Conference (IEEE GLOBECOM), 6 pages, Abu Dhabi, UAE, Dec. 2018.

37. A. Li, G. Han, and T. Ohtsuki, “Enhanced channel hopping algorithm for heterogeneous cognitive radio networks” IEEE Global Communications Conference (IEEE GLOBECOM), 6 pages, Abu Dhabi, UAE, Dec. 2018.

38. A. Li, G. Han, and T. Ohtsuki, “Energy-efficient channel hopping protocol for cognitive radio networks,” IEEE Global Communications Conference (IEEE GLOBECOM), 6 pages, Singapore, Dec. 2017.

39. A. Li, G. Han, L. Shu, and M. Guizani, “Cooperative secondary users selection in cognitive radio ad hoc networks,” IEEE International Wireless Communications and Mobile Computing Conference (IEEE WCMC), 6 pages, Paphos, Cyprus, Sept. 2016.

40. Z. Yang, A. Li, L. Yu, S. Kang, M. Han, and Q. Ding, “An improved AES encryption algorithm based on chaos theory in wireless communication networks,” IEEE Third International Conference on Robot, Vision and Signal Processing (IEEE RVSP), 4 pages, Kaohsiung, Taiwan, Nov. 2015.

41. A. Li, X. Guan, Z. Yang, and T. Ohtsuki, “Coalition graph game for multi-hop routing path selection in Cooperative Cognitive Radio Networks,” IEEE 9th International Conference on Communications and Networking in China (IEEE CHINACOM), 5 pages, Maoming, China, Aug. 2014. (Best Paper Award)

FY 2024

1. 椙山誠也(M1＠UEC), 牧添啓吾(M2@TUS), 新井麻希, 長谷川幹雄, 大槻知明, 李傲寒"Double Deep Q NetworkによるモバイルIoTアプリケーションのための自律分散型送信パラメータ選択手法," 電子情報通信学会無線通信システム研究会, 6 pages, June 2024. 

(S. Sugiyama (M1@UEC), K. Makizoe (M2@TUS), M. Arai, M. Hasegawa, T. Otsuki, A. Li, "A Double Deep Q Network Based Fully Autonomous Distributed Transmission Parameter Selection Method for Mobile IoT Applications," IEICE Technical Committee on Radio Communication Systems, 6 pages., June 2024.)

FY 2023

2. 有吉良太 (B4@UEC), 椙山誠也 (B4@UEC), 長谷川幹雄, 大槻知明, 李傲寒., "Massive IoT システムにおけるエネルギー効率を改善するための強化学習による送信パラメータ選択手法" 電子情報通信学会総合大会, 1 page, Mar. 2024. 

(Ryota Ariyoshi (B4@UEC), Seiya Sugiyama (B4@UEC), Mikio Hasegawa, Tomoaki Ohtsuki, Aohan Li, "Transmission Parameters Selection Method Using Reinforcement Learning for Improving Energy Efficiency in Massive IoT Systems," IEICE General Conference, Hiroshima University, pp. 1-1, Mar. 2024.)

3. 椙山誠也(B4＠UEC), 牧添啓吾(M2@TUS), 新井麻希, 長谷川幹雄, 大槻知明, 李傲寒, "モバイルLoRaネットワークにおける深層強化学習による自律分散型送信パラメータ選択手法," 電子情報通信学会総合大会, 1 page, Mar. 2024. 

(Seiya Sugiyama (B4@UEC), Keigo Makizoe (M2@TUS), Maki Arai, Mikio Hasegawa, Tomoaki Otsuki, Aohan Li, "An Autonomous and Distributed Transmission Parameters Selection Method Using Deep Reinforcement Learning in Mobile LoRa Networks," IEICE General Conference, Hiroshima University, pp. 1-1, Mar. 2024.)

4. 長沼俊汰(B4＠TUS), 藤田嗣雲(M2@TUS), 新井麻希, 李傲寒, 長谷川幹雄, "イジングマシンによる高速最適化を応用した Massive MIMO におけるビーム割当手法の検討," 電子情報通信学会総合大会, 1 page, Mar. 2024. 

(Shunta Naganuma (B4@TUS), Tsukumo Fujita (M2@TUS), Maki Arai, Aohan Li, Mikio Hasegawa, "Investigation of Beam Allocation Methods in Massive MIMO Using High-Speed Optimization by Ising Machines," IEICE General Conference, Hiroshima University, pp. 1-1, Mar. 2024.)

5.  安藤暖人(B4＠TUS), 李傲寒, 新井麻希, 長谷川幹雄, "Laser Chaos Decision Makerによる超高速意思決定を応用した動的チャネルボンディングにおけるプライマリチャネル選択," 電子情報通信学会総合大会, 1 page, Mar. 2024. 

(Haruto Ando (B4@TUS), Aohan Li, Maki Arai, Mikio Hasegawa, "Primary Channel Selection in Dynamic Channel Bonding Using Ultra-Fast Decision Making of Laser Chaos Decision Maker," IEICE General Conference, Hiroshima University, pp. 1-1, Mar. 2024.)

6. 長沼俊太(B4), 藤田嗣雲 (M2), 新井麻希, 李傲寒, 長谷川幹雄, "イジング模型に基づく超高速ビーム選択最適化法の検討," 電子情報通信学会革新的無線通信技術に関する横断型研究会 (MIKA), Okinawa, 1 page, Oct. 2023. (MIKA Poster Award for Young Researchers)

(S. Naganuma (B4), T. Fujiata (M2), M. Arai, A. Li, M. Hasegawa, "Investigation of Ultra-Fast Beam Selection Optimization Method Based on Ising Model," IEICE Multiple Innovative Kenkyu-kai Association for Wireless Communications, Okinawa, pp. 1-1, Oct. 2023.  (MIKA Poster Award for Young Researchers))

7. 石橋周峰 (M1), 大塚鉄兵 (M2),  新井麻希, 李傲寒, 武居弘樹 , 稲葉謙介, 合原一幸 , 長谷川幹雄, " 高次ハミルトニアンを応用した多ユーザNOMAシステムにおけるリソース割当最適化の研究," 電子情報通信学会複雑コミュニケーションサイエンス研究会 (CCS), 6 pages, Aug. 2023.

(S. Ishibashi (M1), T. Otsuka (M2), M. Arai, A. Li, H. Takesue, K. Aihara, M. Hasegawa, " Resource allocation optimization in multi-user NOMA systems using higher-order Hamiltonians," IEICE Technical Committee on Complex Communication Sciences (CCS), 6 pages, Aug. 2023.)

8. 李岩(M2), 大塚鉄兵 (M2), 李傲寒,  武居弘樹 , 稲葉謙介, 合原一幸 , 長谷川幹雄, " Coherent Ising Machine によるIntelligent Reflecting Surface スケジューリングの最適化," 電子情報通信学会NOLTAソサイエティ大会, 1 page, June 2023. 

(Y. Li (M2), T. Otsuka (M2), A. Li, H. Takesue, K. Aihara, M. Hasegawa, "A study on optimization of scheduling in intelligent reflecting surface assisted communication using coherent ising machine.," IEICE NOLTA Society Conference, 1 page, June 2023.)

9. 石橋周峰 (M1), 大塚鉄兵 (M2), 李傲寒,  武居弘樹 , 稲葉謙介, 合原一幸 , 長谷川幹雄, "高次ハミルトニアンに基づいた多ユーザ NOMA システムにおけるリソース割当最適化," 電子情報通信学会NOLTAソサイエティ大会, 1 page, June 2023. 

(S. Ishibashi (M1), T. Otsuka (M2), A. Li, H. Takesue, K. Aihara, M. Hasegawa, " A Study on Resource Allocation Optimization in Multi-User NOMA Networks Based on Higher-Order Hamiltonians," IEICE NOLTA Society Conference, 1 page, June 2023.)

FY 2022

10. 杉山真規 (M1), 李傲寒, 成瀬誠, 長谷川幹雄, "Laser Chaos Decision-Makerによる大規模NOMAにおける超高速チャネル割当," 電子情報通信学会複雑コミュニケーションサイエンス研究会 (CCS), 6 pages, Mar 2023..

 (M. Sugiyama (M1), A. Li, M. Naruse, M. Hasegawa, "Scalable Channel Allocation in Downlink NOMA Using Parallel Array of Laser Chaos Decision-Maker," IEICE Technical Committee on Complex Communication Sciences (CCS), 6 pages, Mar 2023.)

11. 松岡蒼 (B4), 杉山真規 (M1), 李傲寒, 成瀬誠, 長谷川幹雄, "Laser Chaos Decision Makerを用いた動的NOMAシステムにおける超高速チャネル割当," 電子情報通信学会革新的無線通信技術に関する横断型研究会 (MIKA), Virtual, 1 page, Oct. 2022. 

(S. Matsuoka (B4), M. Siguyama (M1), A. Li, M. Naruse, M. Hasegawa, "A study on high-speed channel assignment for dynamic NOMA system by laser decision maker," IEICE Multiple Innovative Kenkyu-kai Association for Wireless Communications, Virtual, pp. 1-1, Oct. 2022.)

12. 杉山真規 (M1), 李傲寒, 段增朝, 成瀬誠, 長谷川幹雄, "Laser Chaos Decision Makerを用いたユーザペアリングによるダウンリンクNOMAのBER最小化," 電子情報通信学会NOLTAソサイエティ大会, 1 page, Jun. 2022.

 (M. Sugiyama (M1), A. Li, Z. Duan, M. Naruse, and M. Hasegawa, "BER Minimization in Downlink NOMA by Laser Chaos Decision-Maker Based User Pairing," IEICE NOLTA Society Conference, June 2022.) 

13. 浦邉郁実 (M2), 藤澤稔 (M1), 李傲寒, 伊藤友輔, 金成主, 長谷川幹雄, "自律分散型強化学習を用いたCHおよびSF選択方法のLoRaデバイスへの実装及び実験評価," 電子情報通信学会NOLTAソサイエティ大会, 1 page, Jun. 2022.

(I. Urabe (M2), M. Fujisawa (M1), A. Li, Y. Ito, S-J. Kim, and M. Hasegawa, "Implementation and Experimental Evaluation of a Distributed Reinforcement Learning Based Channel and SF Selection Method for LoRa Devices," IEICE NOLTA Society Conference, June 2022.) 

14. 藤田尚輝 (M2), 二コラ ショヴェ, アンドレレーム, 巳鼻孝朋, 堀﨑遼一, 李傲寒, 長谷川幹雄, 成瀬誠, "非直交多元接続に対するペアリング最適化アルゴリズムの適用," 電子情報通信学会複雑コミュニケーションサイエンス研究会 (CCS), 6 pages, June 2022. (CCS奨励賞)

(N. Fujita (M2), N. Chauvet, A. Roehm, T. Mihana, R. Horisaki, A. Li, M. Hasegawa, and M. Naruse, "Application of pairing optimization algorithm to non-orthogonal multiple access," IEICE Technical Committee on Complex Communication Sciences (CCS), June 2022. (Incentive Award)

FY 2021

15. 藤田尚輝 (M1), 二コラショヴェ, アンドレレーム, 堀﨑遼一, 李傲寒, 長谷川幹雄, 成瀬誠, "巡回セールスマン問題としてのペアリング最適化と高効率アルゴリズム," 電子情報通信学会総合大会, Virtual, 1 page, Mar. 2022.

(N. Fujita (M1), N. Chauvet, A. Röhm, H. Ryoichim, A. Li, M. Hasegawa, M. Naruse, "Transformation of Pairing Optimization into Traveling Salesman Problem," IEICE General Conference, Virtual, p. 1, Mar. 2022.)

16. 杉山真規 (B4), 李傲寒, 段增朝, 成瀬誠, 長谷川幹雄, "レーザカオスによる超高速意思決定を用いたNOMAにおけるペアリング最適化," 電子情報通信学会革新的無線通信技術に関する横断型研究会 (MIKA), Virtual, 1 page, Oct. 2021. 

(M. Sugiyama (B4), A. Li, Z. Duan, M. Naruse, M. Hasegawa, "Optimization of User Pairing in NOMA Systems Using Laser Chaos Decision Maker," IEICE Multiple Innovative Kenkyu-kai Association for Wireless Communications, Virtual, pp. 1-1, Oct. 2021.)

17. 藤澤稔 (B4), 李傲寒, 浦邉郁実, 北川諒真, 伊藤友輔, 金成主, 安田裕之, 長谷川幹雄, "MABに基づくチャネル選択アルゴリズムのLoRaデバイスへの実装と実験評価," 電子情報通信学会革新的無線通信技術に関する横断型研究会 (MIKA), Virtual, 1 page, Oct. 2021. 

(M. Fujisawa (B4), A. Li, I. Urabe, R. Kitagawa, Y. Ito, H. Yasuda, S. Kim, M. Hasegawa, "Implementation and experimental evaluation of MAB-based channel selection algorithm for LoRa devices," IEICE Multiple Innovative Kenkyu-kai Association for Wireless Communications, Virtual, pp. 1-1, Oct. 2021.)

18. 湯本貴裕 (M1), 大島浩嗣, 伊藤友輔, 李傲寒, 長谷川幹雄, "長距離長遅延宇宙通信における機械学習を用いたクロスレイヤ最適化," 電子情報通信学会革新的無線通信技術に関する横断型研究会 (MIKA), Virtual, 1 page, Oct. 2021. 

(Atsuhiro Yumoto (M1), Koji Oshima, Yusuke Ito, Aohan Li, Mikio Hasegawa, "Cross layer optimization using machine learning in long distance space communications," IEICE Multiple Innovative Kenkyu-kai Association for Wireless Communications, Virtual, pp. 1-1, Oct. 2021.)

19. 藤田尚輝 (M1), 二コラショヴェ, アンドレレーム, 堀﨑遼一, 李傲寒, 長谷川幹雄, 成瀬誠, "非直交多元接続方式（NOMA）における 探索削減アルゴリズムの提案," 電子情報通信学会ソサイエティ大会, Virtual, 1 page, Sept. 2021.

(N. Fujita (M1), N. Chauvet, A. Röhm, H. Ryoichim, A. Li, M. Hasegawa, M. Naruse, "Proposal of Search Reduction Algorithm for Non-Orthogonal Multiple Access," IEICE Society Conference, Virtual, pp. 1-1, Sept. 2021.)

20. 桑田和輝 (M2), 伊藤友輔, 李傲寒, 荘司洋三, 渡辺良人, 長谷川聡, 長谷川幹雄, "Piggy-back Networkにおける車両割り当てと経路の最適化手法に関する検討," 電子情報通信学会NOLTAソサイエティ大会, Virtual, 1 page, June 2021.

(K. Kuwata (M2), Y. Ito, A. Li, Y. Shoji, Y. Watanabe, S. Hasegawa, M. Hasegawa, "A Study on Vehicle Allocation and Routing Optimization Methods in Piggy-back Network," IEICE NOLTA Society Conference, Virtual, pp. 1-1, June 2021.)

21. 山本大輔 (M1), 古川穂南 (M2), 伊藤友輔, 李傲寒, 金成主, 長谷川幹雄, "大規模モバイルIoT環境における強化学習を用いた自律分散型チャネル選択手法の評価 ," 電子情報通信学会スマート無線研究会, Virtual, 6 pages, May 2021. (電子情報通信学会スマート無線研究会研究奨励賞)

(D. Yamamoto (M1), H. Furukawa (M2), Y. Ito, A. Li, S. Kim, M. Hasegawa, "Performance Evaluation of Distributed Channel Selection Algorithm Based on Reinforcement Learning for Massive Mobile IoT Systems," IEICE Technical Committee on Smart Radio, Technical Report, Virtual, pp. 1-6, June 2021. (Young Researcher of the Year Award in Smart Radio))

FY 2020

22. 浦邉郁実 (B4), 李傲寒, 伊藤友輔, 金成主, 長谷川聡, 長谷川幹雄, "動的競合 Multi-Armed Bandit 問題への Tug-of-War" ダイナミクス応用," 電子通信学会総合大会, Virtual, 1 page, Mar. 2021.

(I. Urabe (B4), A. Li, Y. Ito, S. Kim, S. Hasegawa, M. Hasegawa, "Applying Tug-of-War Dynamics to Dynamic Competitive Multi-Armed Bandit Problems," IEICE General Conference, Virtual, pp. 1-1, Mar. 2021.)

23. 北川諒馬 (M1), 長谷川聡 (D2), 李傲寒, 金成主, 長谷川幹雄, "自律分散型強化学習を用いたチャネル選択手法の異種IoTシステム混在下における実験評価," 電子通信学会総合大会, Virtual, 1 page, Mar. 2021.

(R. Kitagawa (M1), S. Hasegawa (D2), A. Li, S. Kim, M. Hasegawa, "Experimental Evaluation of Reinforcement Leaning Methods Based Channel Selection in Distributed Heterogeneous IoT Systems," IEICE General Conference, Virtual, pp. 1-1, Mar. 2021.)

24. 本田顕太郎 (B4), 田智恵美 (M2),  李傲寒, ペパーフェルディナンド, セオフィリスコンスタンティノス, 若宮直紀, 長谷川幹雄, "Massive IoT における APCMA 方式の実装と性能評価," 電子通信学会総合大会, Virtual, 1 page, Mar. 2021.

(K. Honda (B4), C. Tanaka (M2), A. Li, F. Peper, K. Theofilis, N. Wakamiya, M. Hasegawa, "Implementation and Performance Evaluation of APCMA Applied to Massive IoT System," IEICE General Conference, Virtual, pp. 1-1, Mar. 2021.)

25. F. Peper, K. Leibnitz, K. Theofilis, M. Hasegawa, C. Tanaka (M2), K. Honda (B4), A. Li, N. Wakamiya, "High-Density Wireless Networks Based on Asynchronous Pulse Code Multiple Access (APCMA)," IEICE General Conference, Virtual, 1 page, Mar. 2021.

26. 岡田典大 (M1), 成瀬誠, ショヴェニコラ, 李傲寒, 長谷川幹雄, “Laser Chaos Decision Maker における負の自己相関の有効性解析,” 電子通信学会総合大会, Virtual, pp. 1-1, Mar. 2021.

(N. Okada (M1), M. Naruse, N. Chauvet, A. Li, M. Hasegawa, "Analysis on Effectiveness of Laser Chaos Decision Maker," IEICE General Conference, Virtual, 1 page, Mar. 2021.)

27. 魚住昂央 (B4), 岡田典大 (M1), 成瀬誠, ショヴェニコラ, 李傲寒, 長谷川幹雄, “Massive MIMO システムにおける Laser Chaos Decision Maker法に基づく高速のビーム選択,” 電子通信学会総合大会, Virtual, pp. 1-1, Mar. 2021.

(A. Uozumi (B4), N. Okada (M1), M. Naruse, N. Chauvet, A. Li, M. Hasegawa, "Ultra-Fast Beam Selection Using Laser Chaos Decision Maker in Massive MIMO System," IEICE General Conference, Virtual, 1 page, Mar. 2021.)

28. 倉沢昂明 (M2), 李傲寒,  武居弘樹 , 合原一幸 , 長谷川幹雄, "Coherent Ising Machine における外部磁場項に関する検討  -(1) 埋め込んだ解の安定性の検討 - ,"  電子情報通信学会ソサイエティ大会, Virtual, 1 page, Sept. 2020.

(K. Kurasawa (M2), A. Li, H. Takesue, K. Aihara, M. Hasegawa, "A Study on Coherent Ising Machine with External Magnetic Fields -(1) An Analysis on Stability of Embedded Solutions -," IEICE Society Conference, Virtual, pp. 1-1, Sept. 2020.)

29. 大塚鉄兵 (B4),  倉沢昂明 (M2), 李傲寒,  武居弘樹 , 合原一幸 , 長谷川幹雄, "Coherent Ising Machine における外部磁場項に関する検討  -(2) 巡回セールスマン問題への適用 - ,"  電子情報通信学会ソサイエティ大会, Virtual, 1 page, Sept. 2020.

(T. Otsuka (B4), K. Kurasawa (M2), A. Li, H. Takesue, K. Aihara, M. Hasegawa, "A Study on Coherent Ising Machine with External Magnetic Fields -(2) Application to Traveling Salesman Problems-," IEICE Society Conference, Virtual, pp. 1-1, Sept. 2020.)

30. 橋本航汰 (B4), 倉沢昂明 (M2), 李傲寒,  武居弘樹 , 合原一幸 , 長谷川幹雄, "Coherent Ising Machine における外部磁場項に関する検討 - (3)2 次割当問題への適用-  "  電子情報通信学会ソサイエティ大会, Virtual, 1 page, Sept. 2020.

(K. Hashimoto (B4), K. Kurasawa (M2), A. Li, H. Takesue, K. Aihara, M. Hasegawa, "A Study on Coherent Ising Machine with External Magnetic Fields -(3) Application to Quadratic Assignment Problems-," IEICE Society Conference, Virtual, pp. 1-1, Sept. 2020.)

31. 岡田典大 (M1), 成瀬誠, ショヴェニコラ, 李傲寒, 長谷川幹雄, “Surrogate Data法に基づくLaser Chaos Decision Makerの有効性の解析,” 電子情報通信学会複雑コミュニケーションサイエンス研究会, Virtual, 6 pages, June 2020.

(N. Okada (M1), M. Naruse, N. Chauvet, A. Li, M. Hasegawa, "An Analysis on Performance of Laser Chaos Decision Maker by the Method of Surrogate Data," IEICE Technical Committee on Complex Communication Sciences, Technical Report, Virtual, pp. 1-6, June 2020.)

~FY 2019

32. 李傲寒, 大槻知明, “エナジーハーベスティングIoTにおける深層強化学習を用いた無線リソース割り当て法,” 電子情報通信学会無線通信システム研究会, 東京工業大学, 6 pages, Mar. 2020.

(A. Li, T. Ohtsuki, "Resource Allocation Using Deep Reinforcement Learning for Energy Harvesting Internet of Things," IEICE Technical Committee on Radio Communication Systems, Technical Report, Tokyo Institute of Technology, Virtual, pp. 1-6, Mar. 2020.)

33. A. Li and T. Ohtsuki, “Deep Q-Learning Based Resource Allocation for Energy Harvesting Internet of Things,”  IEICE General Conference, Hiroshima University, Hiroshima, Japan, 1 page, Mar. 2020.

34.  A. Li and T. Ohtsuki, “Enhanced Channel Hopping Algorithm for Heterogeneous Cognitive Ad Hoc Networks,” IEICE Technical Committee on Radio Communication Systems, Industry Support Center, Okinawa, Japan, 6 pages, Nov. 2018.

35.  A. Li, F. H. Panahi and T. Ohtsuki, “Two-Stage Fuzzy Q-Learning Based Channel Selection Algorithm in Cognitive Radio Networks,” IEICE Technical Committee on Radio Communication Systems, Kikai-Shinko-Kaikan Bldg., Tokyo, Japan, 6 pages, Oct. 2018.

36.  A. Li, F. H. Panahi and T. Ohtsuki, “Fuzzy Q-Learning based Channel Selection Method for Cognitive Radio Networks” IEICE Multiple Innovative Kenkyu-kai Association for Wireless Communications, Hatoya Hotel,  Shizuoka, Japan, 1 page, Sept. 2018.

37. A. Li and T. Ohtsuki, “Channel Selection Scheme for Cognitive Radio Networks with Secondary User Hardware Limitation Using a Two-Stage Learning Approach,” IEICE Society Conference, Kanazawa University, Kanazawa, Japan, 1 page, Sept. 2018.

38.  A. Li and T. Ohtsuki, “Jump-Stay Based Frequency Hopping Strategy for Control Channel Establishment in Heterogeneous Cognitive Radio Networks,” Pro. IEICE Society Conference, Tokyo City University, Tokyo, Japan, 1 page, Sept. 2017.

39. A. Li and T. Ohtsuki, “Improved Channel Hopping Algorithm-for Heterogeneous Cognitive Radio Networks,” IEICE Technical Committee on Radio Communication Systems, Industry Support Center, Hokkaido University, Hokkaido, Japan, 6 pages, July 2017.

40.  A. Li and T. Ohtsuki, “Channel Hopping Algorithm Based on Multiple Radios for Cognitive Radio Networks,” IEICE Technical Committee on Radio Communication Systems, Ishigaki Shoukou Kaikan, Okinawa, Japan, 6 pages, June 2017.

Submitted in Japan: 3

1. “A Requirement Based Spectrum Allocation Method in Cognitive Radio Networks,” granted, September," Authorized in China.

2. “A Spectrum Sensing Method Based on the Requirement of Unlicensed Users in Cognitive Radio Networks,” Authorized in China.

3.  A Machine Learning-Based Spectrum Access Method in Cognitive Radio Network, Authorized in China.

4.  Multi-Radio Unlicensed User Rendezvous Method in Cognitive Radio Network, Authorized in China.

5.  Control Chanel Establishment Method in Cognitive Radio Network, Authorized in China.

6. Fully Distributed Rendezvous Algorithm for Unlicensed Users in Cognitive Radio Network, Authorized in China.

7.  Optimal Sensing Channel Selection Method in Dynamic Spectrum Access System, Authorized in China.

8.  A Prediction Method of Channel State Transition Probability in Cognitive Radio Network, Authorized in China.

9. A Control Channel Establishment Method Based on Jump-Stay Strategy in Cognitive Radio Network, Authorized in China.

Students' Awards:

1. 2024.02, Best Student Paper Award, the 10th Anniversary Korea-Japan Joint Workshop on Complex Communication Sciences (KJCCS 2024)

(T. Fujita (M2@TUS), A. Li, Q. V. Do, T. Otsuka, M. Arai, S.-G. Jeong, W.-J. Hwang, H. Takesue, K. Inaba, K. Aihara, and M. Hasegawa, "Performance Evaluation of Resource Allocation Optimization in UAV Network with Ising Machine," 1 page.)

2. 2023.10, MIKA Poster Award for Young Researchers, IEICE Multiple Innovative Kenkyu-kai Association for Wireless Communications (MIKA) 

(S. Naganuma (B4), T. Fujiata (M2), M. Arai, A. Li, M. Hasegawa, "Investigation of Ultra-Fast Beam Selection Optimization Method Based on Ising Model," 1 page.)

3. 2023.10, Best Student Paper Award, IEICE The 2023 International Symposium on Nonlinear Theory and Its Applications (IEICE NOLTA2023).

(M. Sugiyama (M2@TUS), A. Li, M. Naruse, M. Hasegawa, "Ultrafast channel allocation in downlink NOMA using a parallel array of laser chaos decision-makers," 4 pages.)

4. 2023.10, Student Paper Award, IEICE The 2023 International Symposium on Nonlinear Theory and Its Applications (IEICE NOLTA2023).

(M. Fujisawa (M2@TUS), H. Yasuda, R. Isogai, Y. Yoshida, A. Li, S. Kim, and M. Hasegawa, "Design and Implementation of MAB Based Power Consumption Optimization Method on Bluetooth Low Energy," 4 pages. )

5. 2023.05, Incentive Award, IEICE Technical Committee on Complex Communication Sciences (CCS奨励賞)

(N. Fujita (M2), N. Chauvet, A. Roehm, T. Mihana, R. Horisaki, A. Li, M. Hasegawa, and M. Naruse, "Application of pairing optimization algorithm to non-orthogonal multiple access.")

6. 2023.03, Student Paper Award, 2023 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'23)

(T. Otsuka (M2), A. Li, H. Takesue, K. Inaba, K. Aihara, and M. Hasegawa, "High-Speed Optimization of NOMA System Using Coherent Ising Machine in Dynamic Environment)

7. 2022.01, Young Researcher of the Year Award in Smart Radio, IEICE Technical Committee on Smart Radio  (電子情報通信学会スマート無線研究会研究奨励賞)

(D. Yamamoto (M1), H. Furukawa, Y. Ito, A. Li, S. Kim, M. Hasegawa, "Performance Evaluation of Distributed Channel Selection Algorithm Based on Reinforcement Learning for Massive Mobile IoT Systems.")

8. 2021.12, Student Presentation Award, IEICE International Conference on Emerging Technologies for Communications (IEICE ICETC) 

(N. Fujita (M1), N. Chauvet, A. Rohm, R. Horisaki, A. Li, M. Hasegawa and M. Naruse, "Proposal of efficient algorithms for large scale pairing.")

9. 2021.04, Excellent Paper Award,  IEEE International Conference on Artificial Intelligence in Information and Communication (IEEE ICAIIC).

(Z. Duan (M2), N. Okada (M2), A. Li, M. Naruse, N. Chauvet, M. Hasegawa, "High-Speed Optimization of User Pairing in NOMA System Using Laser Chaos Based MAB Algorithm.")

Aohan Li's Awards:

1. 2021.03, Excellent Paper Award,  Telecom System Technology Student Award of The Telecommunications Advancement Foundation, Japan.  (第 36 回電気通信普及財団賞 (テレ コムシステム技術学生賞) 佳作)

2. 2014.08, Best Paper Award in IEEE CHINACOM 2014.

3. 2014.07, the Third Prize in Northeast Area of Chinese Graduate Student Electronic Design Competition.

4. 2013.11, the First Prize in Heilongjiang Province of Chinese Graduate Student Electronic Design Competition.

5. 2012.06, Best Thesis Award of Heilongjiang University, China.

• The Year 2023

Bachelor

1. モバイルLoRaネットワークにおける深層強化学習による自律分散型送信パラメータ選択手法(An Autonomous and Distributed Transmission Parameters Selection Method Using Deep Reinforcement Learning in Mobile LoRa Networks )

2. Massive IoT システムにおけるエネルギー効率を改善するための強化学習による送信パラメータ選択手法(Transmission Parameters Selection Method Using Reinforcement Learning for Improving Energy Efficiency in Massive IoT Systems)

3. 連合学習におけるSCAFFOLDによる防御手法の性能評価(Performance Evaluation of Defense Method Using SCAFFOLD in Federated Learning)

• The Year 2022 (Co-Supervision with Prof. Hasegawa at TUS)

Master

4. 大規模高密度IoT実現に向けた低消費電力・長距離無線通信システムの強化学習による性能最適化に関する研究(Implementation and Performance Evaluation of Learning Based Joint Channel and Spreading Factor Selection Methods in LoRaWAN)

5. NOMAシステムにおけるCoherent Ising Machineを用いたリソース割り当て高速最適化・Coherent Ising Machine における外部磁場項除去による解の安定性の検討(High-Speed Resource Allocation for NOMA System via Coherent Ising Machine・A Study on the Solution Stability in Coherent Ising Machine by Removing External Magnetic Field)

Bachelor

6. 高次イジングハミルトニアンに基づいた多ユーザNOMAシステムにおけるリソース割り当て最適化に関する研究 (A Study on Resource Allocation Optimization in Multi-User NOMA Networks Based on Higher-Order Ising Hamiltonian)

7. Laser Chaos Decision Makerを用いた動的NOMAシステムにおける超高速ユーザペアリング(A study on high speed user pairing for dynamic NOMA system by laser chaos decision maker)

• The Year 2021 (Co-Supervision with Prof. Hasegawa at TUS)

Master

8. レーザカオスによる意思決定を用いた NOMA システムの超高速最適化に関する研究 (A study on ultra-fast optimization of NOMA system using laser chaos decision maker)

Bachelor

9. Laser Chaos Decision Maker による超高速ペアリングを用いた NOMA システムにおける BER の最小化 (BER minimization by user pairing in downlink NOMA using laser chaos decision maker)

10. 高密度な LoRa システムを実現するための軽量な自律分散型強化学習を用いたチャネル選択手法に関する研究 (A study on lightweight autonomous distributed reinforcement learning based channel selection method for high-density LoRa systems)

• The Year 2020 (Co-Supervision with Prof. Hasegawa at TUS)

Master

11. 自律分散型大規模モバイル IoT システムにおける強化学習型チャネル選択手法に関する研究 (A research on reinforcement learning based channel selection method for autonomous distributed large-scale mobile IoT systems)

12. Massive IoT における逐次干渉除去と強化学習を用いた干渉回避に関する研究 (A reinforcement learning based collision avoidance mechanism to superposed LoRa signals in distributed massive IoT systems)

13. Massive IoT を実現する APCMA 多重通信方式に関する研究 (A research on pulse-based multiplexing protocol (APCMA) for massive IoT devices)

14. Coherent Ising Machine における外部磁場導出方法の検討・高密度無線LANシステムにおける Coherent Ising Machine を用いた超高速チャネル割り当て (A study on the introduction of the external magnetic field in coherent Ising machine・A high-speed channel assignment algorithm for dense IEEE 802.11 systems via coherent Ising machine)

15. 偏相関分析を用いた無線ネットワークのトポロジー推定に関する研究 (A study on partial correlation analysis for estimating wireless network topology)

Bachelor

16. Coherent Ising Machine における外部磁場導入方法の検討・NOMAシステムにおける Coherent Ising Machine を用いた高速ユーザペアリングおよびチャネル割り当て(A study on coherent Ising machine with external magnetic fields・Coherent Ising machine based optimal channel allocation and user pairing in NOMA networks)

17. Coherent Ising Machine を用いた、大規模組合せ最適化問題に対する分割手法の検討 (A Study on the Partitioning Methods for Large-Scale Combinatorial Optimization Problems Using Coherent Ising Machines)

18. Coherent Ising Machineの安定性に関するシミュレーション解析及び無線LANシステムへの応用 (Simulation analysis on the stability of coherent Ising machine and its application to wireless LAN system)

19. Laser Chaos Decision Maker を用いた動的無線チャネルボンディングの高速最適化 (Dynamic channel bonding using laser chaos decision maker in WLANs)

20. Laser Chaos Decision Maker による Massive MIMO の超高速ビーム選択法 (Ultra-fast beam selection using laser chaos decision maker in massive MIMO system)

21. Massive IoT における APCMA 方式の実装と評価 (Implementation and Evaluation of APCMA method in massive IoT)

22. Massive IoT 環境における強化学習を用いた自律分散型チャネル選択手法のシミュレーション評価 (Autonomous distributed channel selection algorithm based on reinforcement learning for massive IoT)

23. 動的競合 Multi-armed bandit 問題に対する Tug-of-war ダイナミクスの応用 (Applying Tug-of-war dynamics to multi-armed bandit problems)

24. 宇宙通信におけるコグニティブサイクルを用いたクロスレイヤ制御の検討 (Space communication optimization method based on cognitive cycle)

25. AODV を用いた異種ネットワーク経路選択技術の研究 (A study on route selection method within AODV in the heterogeneous network)

1. 李傲寒, "次世代無線通信システム「６G」における周波数資源の枯渇問題の解決に向けた国際活動・国際協力の重要性," 西東京三大学連携 文理協働型グローバル人材育成プログラム高校生グローバルスクール, 2024年3月16日.

(Aohan Li, "The importance of international activities and cooperation to solve the problem of frequency resource depletion in the next generation wireless system (6G), High School Global School, a collaborative global human resources development program between three Western Tokyo universities, Mar. 2024.)

2. R. Ariyoshi (B4@UEC), S. Sugiyama (B4@UEC), M. Hasegawa, T. Ohtsuki, A. Li, "Transmission Parameters Selection Method Using Reinforcement Learning for Improving Energy Efficiency in Massive IoT Systems," GlobalNet Workshop 2024 in Hiroshima, Hiroshima University, pp. 1-1, Mar. 2024.

3. S. Sugiyama (B4@UEC), K. Makizoe (M2@TUS), M. Arai, M. Hasegawa, T. Otsuki, A. Li, "An Autonomous and Distributed Transmission Parameters Selection Method Using Deep Reinforcement Learning in Mobile LoRa Networks," GlobalNet Workshop 2024 in Hiroshima, Hiroshima University, pp. 1-1, Mar. 2024.