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

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

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

Tadashi Wadayama, Lantian Wei, “Gradient Flow Decoding,” IEEE Access, 13, 131937-131956, July 2025. 

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. 

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. [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.

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.

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.

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.

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.

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.

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. 

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.