Masaya Kumagai, Lantian Wei, Ayano Nakai-Kasai, Tadashi Wadayama, “LCoopPG: Deep Unfolding-Assisted Fully Distributed MIMO Detection Algorithm,” IEICE Trans. Commun. (accepted) [10.23919/transcom.2025EBP3030]

Lantian Wei, Tadashi Wadayama, Kazunori Hayashi, “Offline Learning Approach for Deep-Unfolded MIMO Detector via Vector Similarity Search,” IEICE Trans. Fundamentals. (accepted) [10.1587/tranfun.2025TAP0015]

Lantian Wei, Shan Lu, Hiroshi Kamabe, “End-to-End Machine-Learning-Aided Signature Code for Multi-Access Rayleigh Fading Channel,” IEICE Trans. Fundamentals. (accepted) [10.1587/transfun.2025TAP0018]

Tadashi Wadayama, Lantian Wei, “Gradient Flow Decoding,” IEEE Access, 13, 131937-131956, July 2025. [10.1109/ACCESS.2025.3592296]

Lantian Wei, Shan Lu, Hiroshi Kamabe, Jun Cheng, “User Identification and Channel Estimation by Iterative DNN-Based Decoder on Multiple-Access Fading Channel,” IEICE Trans. Fundamentals., E105.A(3), 417-424, March 2022. [10.1587/transfun.2021TAP0008]

Lantian Wei, Kazunori Hayashi, Tadashi Wadayama, “RF Impairments Compensation for OFDMA System with Model-based Machine Learning Approach,” 2026 IEEE International Conference on Communications (ICC). (accepted)

Lantian Wei, Zijie Yang, Tadashi Wadayama, Ayano Nakai-Kasai, “Power Allocation for Interference Channels based on Vector Similarity Search,” 2025 IEEE Global Communications Conference (GLOBECOM), Taipei, 11 December 2025.

Lantian Wei, Kazunori Hayashi, Tadashi Wadayama, “Learnable Multi-Layer Structure for Joint Tx/Rx IQIs and CFO Compensation in OFDM System,” 2025 IEEE Globecom Workshops (GC Wkshps): Workshop on Green Learning for Wireless Communications, Taipei, 8 December 2025.

Takumi Nishiyama, Lantian Wei, Tadashi Wadayama, “Digital-Optical Hybrid Computation for Deep Unfolding-Aided MIMO Signal Detection,” 2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Singapore, October 2025. [10.1109/APSIPAASC65261.2025.11249397] [Certificate of Merit Award]

Lantian Wei, Tadashi Wadayama, Kazunori Hayashi, “Cost-Aware Structure Learning for Distributed Multiple Measurement Sparse Vector Recovery,” 2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall), recent results, Chengdu, October 2025. [10.1109/VTC2025-Fall65116.2025.11310448]

Lantian Wei, Tadashi Wadayama, Kazunori Hayashi, “Deep Unfolded Optical Decoder for LDPC Codes with System Noise Mitigation,” 2025 13th International Symposium on Topics in Coding (ISTC), Los Angeles, August 2025. [10.1109/ISTC65386.2025.11154547]

Asahi Ito, Lantian Wei, Tadashi Wadayama, “Enhancing Proximal Decoding for LDPC Codes through Deep Unfolding,” 2024 International Symposium on Information Theory and Its Applications (ISITA), 227-232, Taipei, 10 November 2024. [10.23919/ISITA60732.2024.10858271]

Tadashi Wadayama, Lantian Wei, “Generalized Gradient Flow Decoding and its Tensor-Computability,” 2024 IEEE International Symposium on Information Theory (ISIT), 3356-3361, Athens, 7 July 2024. [10.1109/ISIT57864.2024.10619099]

Lantian Wei, Tadashi Wadayama, Kazunori Hayashi, “Vector Similarity Search based Offline Learning for Deep-Unfolded MIMO Signal Detector,” 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), 7-12, Stockholm, 5 May 2024. [10.1109/ICMLCN59089.2024.10624791]

Lantian Wei, Shan Lu, Hiroshi Kamabe, “BNNs- and TISTA- Based Signature Code Design for User Identification and Channel Estimation over Multiple-Access Channel with Rayleigh Fading,” 2023 IEEE Information Theory Workshop (ITW), 147-152, Saint-Malo, 23 April 2023. [10.1109/ITW55543.2023.10161674]

Lantian Wei, Shan Lu, Hiroshi Kamabe, Jun Cheng, “User Identification and Channel Estimation by DNN-Based Decoder on Multiple-Access Channel,” 2020 IEEE Global Communications Conference (GLOBECOM), 1-6, Taipei, December 2020. [10.1109/GLOBECOM42002.2020.9322258]

魏藍天, 林和則, 和田山正, “Learnable Multi-Layer Compensation Structure of Tx/Rx IQIs and CFO for OFDMA Systems,” 電子情報通信学会情報理論とその応用シンポジウム, 福島, 2025年11月. 

久野智也, 魏藍天, 和田山正, “記憶性加法的雑音に向けたスコアベースBP復号法,” 電子情報通信学会情報理論とその応用シンポジウム, 福島, 2025年11月. 

伊藤朝陽, 魏藍天, 和田山正. “光ファイバ通信のためのPhysics-Aware Belief Propagation復号法,” 電子情報通信学会情報理論とその応用シンポジウム, 福島, 2025年11月. 

魏藍天, 和田山正, 林和則, “System Noise Resilient Optical Decoder for LDPC Codes using Deep Unfolding,” 信学技報, vol. 125, no. 37, IT2025-14, pp. 74-78, 2025年5月. 

魏藍天, 和田山正, 林和則, “Cost-Aware Structure Learning for Distributed Multiple Measurement Vector Compressed Sensing,” 第39回信号処理シンポジウム, 北海道, 2024年12月. 

魏藍天, 和田山正, 林和則, “LDM-IST: Deep Unfolded Distributed Recovery Algorithm for Multiple Measurement Vector Problem,” 信学技報, vol. 124, no. 147, IT2024-19, pp. 30-35, 2024年8月.

伊藤朝陽, 魏藍天, 和田山正, “深層展開を適用した近接勾配復号法に関する検討,” 信学技報, vol. 124, no. 48, IT2024-1, pp. 1-6, 2024年5月. 

魏藍天, 和田山正, 林和則, “Key-Value Store Based Offline Learning for Deep-Unfolded MIMO Detector,” 電子情報通信学会情報理論とその応用シンポジウム, 山口, 2023年11月. 

魏藍天, 林和則, 和田山正, “IQ Imperfection Compensation and Frequency Domain Equalization with Deep Unfolding Based Adaptive Multi-layer Filter,” 第38回信号処理シンポジウム, 京都, 2023年11月. 

BOAVIDA Abreu Andre, 魏藍天, 路姍, 鎌部浩, “Timor-Leste’s Mikrolet Vehicle Multi-Class Classification Performance Evaluation using Deep Learning Models,” 電子情報通信学会大会講演論文集(CD-ROM), 2023年3月.

魏藍天, 路姍, 鎌部浩, “BNNsとTISTAを基づいたシグネチャ符号の構成法,” 電子情報通信学会情報理論とその応用シンポジウム, 北海道, 2022年11月~12月. (poster)

魏藍天, 路姍, 鎌部浩, “Binarized Neural Networks and Trainable ISTA based Signature Code with Channel Estimation for Multiple Access Rayleigh Fading,” 信学技報, vol. 122, no. 25, IT2022-10, pp. 50-55, 2022年5月.

魏藍天, 路姍, 鎌部浩, “Signature Code Designed by Binarized Neural Networks,” 信学技報, vol. 121, no. 327, IT2021-34, pp. 34-39, 2022年1月. 

路姍, 魏藍天, 鎌部浩, “OMP Algorithm with Prior Information for Identification and Channel Estimation on Multiple Access Fading Channel,” 信学技報, vol. 121, no. 28, IT2021-10, pp. 54-59, 2021年5月. 

石橋弘也, 魏藍天, 鎌部浩, 路姍, “Deep Learningを用いた多重接続通信路における符号の構成,” 信学技報, vol. 120, no. 320, IT2020-90, pp. 148-152, 2021年1月.

魏藍天, 路姍, 鎌部浩, “User Identification and Channel Estimation by Iterative DNN-Based Decoder on Multiple-Access Fading Channel,” 信学技報, vol. 120, no. 105, IT2020-12, pp. 7-12, 2020年7月.

魏藍天, 路姍, 鎌部浩, “The Recovery of (0,1)-Vector Based on Deep Neural Network,” 信学技報, vol. 119, no. 198, IT2019-28, pp. 13-17, 2019年9月.