Welcome to Aohan Li Lab
Aohan Li Lab was established on April 1st, 2022, mainly working on machine learning and quantum annealing/laser chaos for the next generation of wireless communications, and the applications of AI.
Call for Papers
We are organizing a Special Issue, entitled "MAC and Routing Protocols for Sensor Networks", in Sensors (IF:3.9). Welcome to submit your papers. Link
Conference Schedule:
June 19-21, 2024: IEICE RCS, Okinawa
S. Sugiyama (M1@UEC), "A Double Deep Q Network Based Fully Autonomous Distributed Transmission Parameter Selection Method for Mobile IoT Application"
June 24-27, 2024: IEEE VTC2024-Spring, Singapore
S. Sugiyama (M1@UEC), "Fully Autonomous Distributed Transmission Parameter Selection Method for Mobile IoT Applications Using Deep Reinforcement Learning"
News
[Journal] 2024/07/21: Our paper has been accepted by the IEEE Internet of Things Journal (IF: 10.238).
(G. Han, Y. Huang, Y. He, F. Li, A. Li, J. Peng, "A Data Transmission Scheme Based on Reinforcement Learning-Aided Two-Stage Trust Evaluation for UASNs," 11 Pages.)
[Journal] 2024/06/04: Our paper has been accepted by the IEICE Communications Express (ComEX) (IF: 0.3)
(H. Ando (M1@TUS), A. Li, M. Arai, M. Hasegawa, "Primary Channel Selection in Dynamic Channel Bonding Using Laser Chaos Decision Maker", 4 pages.)
[Journal] 2024/04/08: Our paper has been accepted by the Discover Artificial Intelligence
(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," 15 pages.)
[Domestic Conference] 2024/04/05: Our report will be presented at the IEICE Technical Committee on Radio Communication Systems (RCS) from Jun. 19, 2024 to Jun. 21, 2024.
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," 6 pages.
(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," 6 pages.)
[Memory] 2024/03/27: The Farewell Party of Aohan Li Lab was held at Ikebukuro
[International Conference] 2024/03/12: Our paper has been accepted by The 2024 IEEE 99th Vehicular Technology Conference (IEEE VTC2024-Spring)
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," 5 pages.
[Award] 2024/03/12: Our fourth-year undergraduate student S. Sugiyama got the Megurokai Award (目黒会賞).
[Journal] 2024/03/11: Our paper has been accepted by the IEEE Transactions on Cognitive Communications and Networking (IF: 8.6)
(G. Han, W. Wang, Z. Xu, A. Li, "Data Augmentation and Individual Identification Method for Emitters Using Contour Stella Image Mapping" 11 pages.)
[Memory] 2024/03/09: Ryota Ariyoshi (B4@UEC) and Seiya Sugiyama (B4@UEC) presented our reports at the IEICE General Conference and the GlobalNet Workshop 2024 in Hiroshima.
[Award] 2024/02/10: Our paper has been selected as the Best Student Paper Award of 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,"
[Member&Memory] 2024/02/09: Undergraduate student Miyu Tsuzuki has joined Aohan Li Lab. &Welcome Party of Aohan Li Lab was held at ChoFu
[Journal] 2024/01/14: Our paper has been accepted by the IEEE ACCESS (IF: 3.9).
(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," 14 pages.)
[Domestic Conference & International Conference/Workshop] 2024/01/10: Our 4 reports will be presented at the IEICE General Conference during Mar. 4~Mar. 8, 2024 and two of the reports will also be presented at the GlobalNet Workshop 2024 in Hiroshima on Mar. 4, 2024.
① 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," 1 page. (R. Ariyoshi (B4@UEC), S. Sugiyama (B4@UEC), M. Hasegawa, T. Otsuki, A. Li, "Transmission Parameters Selection Method Using Reinforcement Learning for Improving Energy Efficiency in Massive IoT Systems," 1 page.)
② 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," 1 page. (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," 1 page.)
③ 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," 1 page. (S. Naganuma (B4@TUS), T. Fujita (M2@TUS), M. Arai, A. Li, M. Hasegawa, "Investigation of Beam Allocation Methods in Massive MIMO Using High-Speed Optimization by Ising Machines," 1 page.)
④ 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," 1 page. (H. Ando (B4@TUS), A. Li, M. Arai, M. Hasegawa, "Primary Channel Selection in Dynamic Channel Bonding Using Ultra-Fast Decision Making of Laser Chaos Decision Maker," 1 page.)
[International Conference] 2023/12/04: Our 2 papers will be presented at The 10th Japan-Korea Joint Workshop on Complex Communication Science on January 29, 2024~January 31, 2024.
① 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,"
② 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,"
[Call for Papers] 2023/11/16: We are organizing a Special Issue, entitled "MAC and Routing Protocols for Sensor Networks", in Sensors (IF:3.9). Welcome to submit your papers. Link
[Award] 2023/10/07: Our two papers have been selected as the Best Student Paper Award and the Student Paper Award of the IEICE The 2023 International Symposium on Nonlinear Theory and Its Applications (IEICE NOLTA2023).
Best Student Paper Award: 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.
Student Paper Award: 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.
[Domestic Conference] 2023/10/02: Our report will be presented at the IEICE Multiple Innovative Kenkyu-kai Association for Wireless Communications (MIKA) on Oct. 10, 2023.
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," 1 page.
(S. Naganuma (B4), M. Arai, M. Hasegawa, A. Li, T. Fujiata (M2), "Investigation of Ultra-Fast Beam Selection Optimization Method Based on Ising Model," 1 page.)
[Journal] 2023/09/20: Our paper has been accepted by the IEEE Internet of Things Journal (IF: 9.936).
(G. Han, R. Xia, H. Wang, A. Li, "Source Location Privacy Protection Algorithm Based on Polyhedral Phantom Routing in Underwater Acoustic Sensor Networks," 14 pages.)
[Memory] 2023/08/28: Summer Camp of Aohan Li Lab. was held at UEC Sugadaira Seminar House during 2023.08.24~2023.08.26.
[Journal] 2023/08/24: Our paper has been accepted by Sensors (IF: 3.9).
(X. Zhou, A. Li (Corresponding Author), G. Han, "An Intelligent Multi-Local Model Bearing Fault Diagnosis Method Using Small Sample Fusion," 21 pages. )
[Journal] 2023/08/01: Our paper has been accepted by IEEE Transactions on Mobile Computing (IF: 7.9).
(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," 13 pages. )
[Journal] 2023/07/21: Our paper has been accepted by IEEE Transactions on Vehicular Technology (IF: 6.8).
(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," 18 pages.)
[Journal] 2023/07/20: Our paper has been accepted by Sensors (IF: 3.9).
(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," 25 pages.)
[Domestic Conference] 2023/07/12: Our report will be presented at the IEICE Technical Committee on Complex Communication Sciences (CCS) on Aug. 4, 2023.
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." 6 pages.
(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," 6 pages.)
[Memory] 2023/06/23: Welcome Party of Aohan Li Lab was held at Yokohama Chinatown
[International Conference] 2023/06/14: Our paper has been accepted by the IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC)
M. Alishahi, P. Fortier, M. Zeng, F. Fang, A. Li, "Latency Minimization in Wireless-Powered Federated Learning Networks with NOMA,", 5 pages.
[International Conference] 2023/06/05: Our three papers have been accepted by the IEICE The 2023 International Symposium on Nonlinear Theory and Its Applications (IEICE NOLTA2023).
① M. Sugiyama (M2), A. Li, M. Naruse, M. Hasegawa, "Ultrafast channel allocation in downlink NOMA using a parallel array of laser chaos decision-makers," 4 pages.
② T. Fujita (M2), 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," 4 pages.
③ M. Fujisawa (M2), 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.
[Journal] 2023/05/18: Our paper has been accepted by the IEEE Internet of Things Journal (IF: 9.936).
(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, 12 pages.)
[Domestic Conference] 2023/05/15: Our two reports will be presented at the IEICE NOLTA Society Conference on June 10, 2023.
① 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,"
(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.,")
② 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,"
(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,")
[Journal] 2023/04/17: Our paper has been accepted by the IEEE Internet of Things Magazine.
(F. Zhang, G. Han, A. Li, C. Lin, and L. Liu "QoS-driven distributed cooperative data offloading and heterogeneous resource scheduling for IIoT," 9 pages.)
[Members] 2023/04/01: Three undergraduate students (S. Sugiyama, R. Ariyoshi, Y. Negoya) have joined Aohan Li's research group.
[Domestic Conference] 2023/03/26: Our report was presented at the IEICE Technical Committee on Complex Communication Sciences (CCS)
(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")
(M. Sugiyama (M1), A. Li, M. Naruse, M. Hasegawa, "Scalable Channel Allocation in Downlink NOMA Using Parallel Array of Laser Chaos Decision-Maker," 6 pages.)
[Award] 2023/03/06: T. Otsuka (M2) won the Student Paper Award of the 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)
[Journal] 2023/01/24: Our paper has been accepted by the IEEE Internet of Things Journal (IF: 9.936).
(H. Wang, G. Han, Y. Liu, A. Li, J. Jiang, "AUV-Assisted Stratified Source Location Privacy Protection Scheme Based on Network Coding in UASNs," 13 pages.)
[Journal] 2023/01/10: Our paper has been accepted by Entropy (IF: 2.524).
N. Fujita (M2), 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," 19 pages.
[International Conference] 2023/01/10: Our paper has been accepted by the 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," 4 pages.
[Journal] 2022/12/28: Our paper has been accepted by the Applied Sciences (IF: 2.679).
X. Wang, A. Li (Corresponding Author), G. Han "A Deep Learning Based Fault Diagnosis of Industrial Bearing Using Multi-Source Information," 26 pages.
[International Conference] 2022/12/22: Our paper has been accepted by The 5th International Conference on Artificial Intelligence in Information and Communication (IEEE ICAIIC 2023), Bali, Indonesia, Feb. 2023.
T. Osada (B4), H. Yasuda, A. Li, S.-J. Kim, and M. Hasegawa, "Design and Implementation of Decentralized TDMA for Low Power IoT Devices," 5 pages.
[International Conference] 2022/12/19: Our paper will be presented at The 9th Japan-Korea Joint Workshop on Complex Communication Sciences, Gyeong Ju, Korea on January 04~06, 2023.
(I. Urabe (M2), M. Fujisawa (M1), A. Li S.-J Kim, and M. Hasegawa, "Experimental Evaluation of SF-Channel Selection Based on Autonomous Distributed Reinforcement Learning for LoRaWAN Devices," 1 page.)
[International Conference] 2022/11/15: Our paper has been accepted by the 37th International Conference on Information Networking (ICOIN 2023).
(M. Sugiyama (M1), A. Li, M. Naruse, and M. Hasegawa, "Scalable Channel Allocation in Downlink NOMA Using Parallel Array of Laser Chaos Decision-Maker," 6 pages, Jan. 2023.)
[International Conference] 2022/10/19: Our paper has been accepted by the 4th EAI International Conference on Artificial Intelligence for Communications and Networks.
(I. Urabe (M2), 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," 9 pages)
[Journal] 2022/10/10: Our paper has been accepted by the IEEE Internet of Things Journal (IF: 9.936).
(J. Jiang, S. Hua, G. Han, A. Li, and C. Lin, "Controversy adjudication-based trust management mechanism in the internet of underwater things," 12 pages.)
[Journal] 2022/10/07: Our paper has been accepted by the IEICE Nonlinear Theory and Its Applications (NOLTA)
(S. Hasegawa (D3), K. Kuwata (M2), A. Li, Y. Watanabe, Y. Shoji, and M. Hasegawa, "UAV data delivery and routing optimization in piggy-back network," 14 pages.)
[Members] 2022/10/01: Xingchen Lu has joined Aohan Li's research group as a Research Student.
[Domestic Conference] 2022/09/09: Our report will be presented at the IEICE Multiple Innovative Kenkyu-kai Association for Wireless Communications (MIKA) on Oct. 13, 2022.
(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")
(S. Matsuoka (B4), M. Siguyama (M1), A. Li, M. Naruse, M. Hasegawa, "A study on high-speed channel assignment for dynamic NOMA system by a laser chaos decision maker," 1 page.)
[International Conference] 2022/08/24: Our 3 papers have been accepted by the IEICE NOLTA 2022.
① A. Li, Z. Duan, M. Naruse, and M. Hasegawa, "Uplink Grant-Free NOMA Using Laser Chaos Decision Maker," 4 pages.
② T. Otsuka (M2), A. Li, H. Takesue, K. Inaba, K. Aihara, and M. Hasegawa, "Fast Resource Allocation for NOMA System Using Coherent Ising Machine," 4 pages.
③ N. Fujita (M2), 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," 4 pages.
[International Conference] 2022/08/24: Aohan Li's paper has been accepted by the IEEE VTC2022-Fall.
(A. Li, "Deep Reinforcement Learning Based Resource Allocation for LoRaWAN," 4 pages.)
[Journal] 2022/08/04: Our work on a lightweight transmission parameter selection scheme using reinforcement learning for LoRaWAN has been uploaded to arXiv.
(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, 14 pages.)
[Journal] 2022/07/22: Our paper has been accepted by the Applied Sciences (IF: 2.679).
(S. Hasegawa (D3), R. Kitagawa (M2), 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." )
[International Conference] 2022/07/09: Our paper has been presented at The 18th International Conference on Multimedia Information Technology and Applications (MITA 2022) on July 6, 2022.
(T. Otsuka (M2), A. Li, H. Takesue, K. Inaba, K. Aihara, and M. Hasegawa, "High-Speed Resource Allocation Optimization of NOMA System via Coherent Ising Machine,")
[Journal] 2022/06/22: Our paper has been accepted by the IEEE ACCESS (IF: 3.367).
(D. Yamamoto (M2), H. Furukawa (M2), A. Li, Y. Ito, K. Sato, M. Hasegawa, et al., "Performance Evaluation of Reinforcement Learning Based Distributed Channel Selection in Massive IoT Networks." )
[Domestic Conference] 2022/06/12: Our 2 reports were presented at the IEICE NOLTA Society Conference on June 11, 2022.
① 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" (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" )
② 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" (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")
[Domestic Conference] 2022/06/12: Our report was presented at the IEICE Technical Committee on Complex Communication Sciences (CCS) on June 10, 2022.
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" (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)
[Journal] 2022/05/25: Our paper has been accepted by the IEEE ACCESS (IF: 3.367).
(N. Fujita (M2), N. Chauvet, A. Rohm, R. Horisaki, A. Li, M. Hasegawa, and M. Naruse, " Efficient pairing in unknown environments: minimal observations and TSP-based optimization." )
[Journal] 2022/04/26: Our paper has been accepted by MDPI Electronics (IF: 2.690).
(M. Sugiyama (M1), A. Li (Corresponding Author), Z. Duan, M. Naruse, and M. Hasegawa, "BER minimization by user pairing in downlink NOMA using laser chaos decision-maker" )
[Members] 2022/04/01: Aohan Li joined the University of Electro-Communications as an Assistant Professor while Aohan Li Lab was established.