Debin Liu

Debin Liu

Associate Researcher · Master's Thesis Supervisor

Debin Liu is an Associate Researcher and Master’s Supervisor at the School of Computer Science and Artificial Intelligence, Zhengzhou University. Born in 1997, he received his Ph.D. in Computer Architecture from Huazhong University of Science and Technology in June 2024 under the supervision of Prof. Laurence T. Yang (杨天若, Academic Vice President of Zhengzhou University, Fellow of the Canadian Academy of Engineering, Fellow of the Engineering Institute of Canada, Member of the European Academy of Sciences and IEEE Fellow), and Under the leadership of Academician Laurence T. Yang and Professor Deng Xianjun’s team (邓贤君, a Changjiang Scholar appointed by the Ministry of Education (教育部长江学者) and Associate Dean of the School of Cyberspace Security at Huazhong University of Science and Technology). He joined Zhengzhou University in August 2024. He has been recognized as a Zhongyuan Young Outstanding Young Talent (中原青年拔尖人才) and a Henan Provincial High-Level Talent (河南省高层次人才). He serves on the CCF Technical Committee on Cooperative Computing and the Technical Committee on Industrial Internet of Things Technologies and Applications.

His research interests include multimodal learning, deep neural network optimization, neural network compression and acceleration, efficient inference for large models, and federated learning. He has published over 40 papers in leading journals and conferences, including IEEE TPAMI, TIP, TPDS, TC, TMC, TIFS, TCAD, TITS, TII, ACM TOMM, IEEE Communications Surveys and Tutorials, CVPR, NeurIPS, and ICME. His work received a Best Paper Award nomination at ICME.

He serves as a Program Committee member for AAAI 2026/2027 and ACM MM 2026. He also reviews for leading conferences and journals, including ACM MM, NeurIPS, AAAI, ICLR, CVPR, ICML, IEEE TIFS, TITS, TDSC, TMC, TNNLS, TII, TVT, TSUSC, and the Chinese Journal of Computers (计算机学报).

debinliuhust@gmail.com

🔥 News

  • 2026.01:  🎉🎉 One paper is accepted by IEEE TPDS 2026.
  • 2026.01:  🎉🎉 Liu Debin Wins the 2026 UK National Edge AI Hub Future Star Award (3 recipients worldwide)
  • 2026.02:  🎉🎉 One paper is accepted by CVPR 2026.
  • 2026.03:  🎉🎉 Liu Debin Named a Zhongyuan Outstanding Young Talent(中原青年拔尖人才)
  • 2026.06:  🎉🎉 One paper is accepted by IEEE TIP 2026.
  • 2026.09:  🎉🎉 Liu Debin Wins the 2026 ACM China Rising Star Award (Zhengzhou Branch: 3 members in total, with one recommended for the national selection).
  • 2026.09:  🎉🎉 One paper is accepted by NeurIPS 2026.
  • 2026.10:  🎉🎉 One paper is accepted by IEEE TPAMI 2026.

📝 Publications

TPAMI 2024 CCF A Debin Liu, Xiang Bai, Ruonan Zhao, Xianjun Deng and Laurence T. Yang. Dual-grained Lightweight Strategy. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024, 46(12): 10228–10245. (IF: 20.4, 中科院一区 Top)

TPAMI 2026 CCF A Debin Liu, Xiang Bai, Ruonan Zhao, Xianjun Deng, Shibo He and Laurence T. Yang. A Simple but Efficient Method to Achieve High Performance with Extreme Sparsity. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026. (Accepted, IF: 20.4, 中科院一区 Top)

TPAMI 2026 CCF A BoCheng Ren, Yuanyuan Yi, Jun Feng, Qingchen Zhang and Debin Liu*. Prototype Matters: Domain-Wise Prototype Induction for Zero-Shot Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), doi: 10.1109/TPAMI.2026.3742105, 2026. (IF: 20.4, 中科院一区 Top)

TPDS 2026 CCF A Shijie Lv, Debin Liu*, Laurence T. Yang, Xiaosong Peng, Ruonan Zhao, Zecan Yang and Jun Feng. Based on Tensor Core Sparse Kernels Accelerating Deep Neural Networks. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2026, 37(2): 353–364. (IF: 5.9, 中科院二区)

CVPR 2026 CCF A Ruonan Zhao, Zheng Wang, Debin Liu*, Shijie Lv, and Laurence T. Yang. FedARA: Resource-adaptive Low-rank Personalized Federated Learning via Anchor-driven Representation Alignment on Heterogeneous Edge Devices. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.

NeurIPS 2026 CCF A Tianzhe Xiao, Haozhao Wang, Yichen Li, Qiyu Qin, Debin Liu* and Ruixuan Li. FedTrace: Generated-Content-Based Watermark Verification for Traitor Tracing in Federated Learning. The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS), 2026.

TIP 2026 CCF A Bin Luo, Laurence T. Yang, Debin Liu* and Audrey Yang. The Scalable Tensor-based Codebook Product Quantization for Multi-Label Image Retrieval. IEEE Transactions on Image Processing (TIP), doi: 10.1109/TIP.2026.3709468, 2026. (IF: 15.3, 中科院一区 Top)

TC 2026 CCF A Shijie Lv, Ruonan Zhao, Debin Liu*, Laurence T. Yang, and Jinhua Cui. QaQuant: Towards Efficient INT4 Quantization for High-Performance LLMs Services Deployment on Edge Devices. IEEE Transactions on Computers (TC), 2026. (Major Revision, IF: 4.9, 中科院二区)

TMC 2026 CCF A Ruonan Zhao, Zheng Wang, Debin Liu*, Xianjun Deng, Wei Liu, Zhiyuan Ma and Laurence T. Yang. TPFed: When Tensor-Train Decomposition Meets Hybrid Knowledge Prototype for Resource-Adaptive Personalized Federated Learning. IEEE Transactions on Mobile Computing (TMC), 2026. (Major Revision, IF: 8.2, 中科院一区 Top)

TMM 2026 CCF A Bin Luo, Laurence T. Yang, Debin Liu*, Audrey Yang, Bowen Yao and Zexi Xu. Structure-Aware Discrete Hashing via Irregular Tensor Decomposition for Cross-Modal Retrieval. IEEE Transactions on Multimedia (TMM), 2026. (Major Revision, IF: 5.9, 中科院一区 Top)

TIP 2025 CCF A Zecan Yang, Laurence T. Yang, Huaimin Wang, Honglu Zhao, and Debin Liu. Bayesian Nonnegative Tensor Completion with Automatic Rank Determination. IEEE Transactions on Image Processing (TIP), vol. 34, pp. 2036–2051, 2025. (IF: 15.3, 中科院一区 Top)

TIFS 2025 CCF A Jun Feng, Xuchi Cheng, Hong Sun, Shunli Zhang, and Debin Liu. Panther: Pracical Secure 2-Party Neural Network Inference. IEEE Transactions on Information Forensics and Security (TIFS), vol. 20, pp. 1149–1162, 2025. (IF: 8.7, 中科院一区 Top)

TIP 2025 CCF A Bocheng Ren, Yuanyuan Yi, Qingchen Zhang, and Debin Liu. Zero-Shot Image Recognition via Learning Dual Prototype Accordance Across Meta-Domains. IEEE Transactions on Image Processing (TIP), vol. 34, pp. 6361–6373, 2025. (IF: 15.3, 中科院一区 Top)

TIFS 2025 CCF A Shuilong Wang, Laurence T Yang, Debin Liu, Ruonan Zhao, Xianjun Deng, Cannian Zou, and Xiaoxuan Fan. Improving Ethereum Mixing Address Linking with Tensor Computation, Neighbor Data Utilization and Asymmetric Information Modeling. IEEE Transactions on Information Forensics and Security (TIFS), vol. 20, pp. 8658–8671, 2025. (IF: 8.7, 中科院一区 Top)

TC 2025 CCF A Xiaosong Peng, Laurence T Yang, Xiaokang Wang, Debin Liu, and Jie Li. A High-Efficiency Parallel Mechanism for Canonical Polyadic Decomposition on Heterogeneous Computing Platform. IEEE Transactions on Computers (TC), vol. 74, no. 10, pp. 3377–3389, 2025. (IF: 4.9, 中科院二区)

TCAD CCF A Kai Tang, Jinhua Cui, Changhao Wen, Shiqiang Nie, Debin Liu, Yaliang Zhao, and Laurence T Yang. WOM-FTL: An Efficient FTL for High-Density Flash Memory Through WOM-v Codes. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), doi: 10.1109/TCAD.2025.3571833. (IF: 3.6, 中科院三区)

TPAMI 2026 CCF A Yuankai Zhang, Wei Liu, Jun Wang, HaoZhao Wang, Debin Liu, Rui Zhang, Zhigang Zeng, Laurence T. Yang and Ruixuan Li. Asymmetric Learning Rates for Robust Cooperative Rationalization: A Flexible Lipschitz Restraint. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026. (Major Revision, IF: 20.4, 中科院一区 Top)

TITS 2022 CCF B Debin Liu, Laurence T. Yang, Ruonan Zhao, Jiawei Wang, and Xia Xie. Lightweight Tensor Deep Computation Model with Its Application in Intelligent Transportation Systems. IEEE Transactions on Intelligent Transportation Systems (TITS), vol. 23, no. 3, pp. 2678–2687, 2022. (IF: 9.1, 中科院一区 Top)

TITS 2024 CCF B Debin Liu, Laurence T. Yang, Ruonan Zhao, Xianjun Deng, Chenlu Zhu, and Yiheng Ruan. Multi-tree Compact Hierarchical Tensor Recurrent Neural Networks for Intelligent Transportation Systems Edge Devices. IEEE Transactions on Intelligent Transportation Systems (TITS), vol. 24, no. 8, pp. 8719–8729, 2024. (IF: 9.1, 中科院一区 Top)

ICME 2024 CCF B Best Paper Nomination Jinglin Zhao, Debin Liu*, Laurence T. Yang, Ruonan Zhao, Zheng Wang, and Zhe Li. TD3D: Tensor-based Discrete Diffusion Process for 3D Shape Generation. IEEE International Conference on Multimedia and Expo (ICME), 2024.

IOT 2023 Ruonan Zhao, Laurence T. Yang, Debin Liu*, and Wanli Lu. Tensor-empowered Communication-efficient and Trustworthy Federated Learning for Heterogeneous Intelligent Space-Air-Ground Integrated IoT. IEEE Internet of Things Journal (IOT), vol. 10, no. 23, pp. 20285–20296, 2023. (IF: 8.7, 中科院一区 Top)

TITS 2024 CCF B Ruonan Zhao, Laurence T. Yang, Debin Liu*, Xianjun Deng, Xueming Tang, and Sahil Garg. Tensor-based Secure Truthful Incentive Mechanism for Mobile Crowdsourcing in IoT-enabled Maritime Transportation Systems. IEEE Transactions on Intelligent Transportation Systems (TITS), vol. 25, no. 5, pp. 3341–3351, 2024. (IF: 9.1, 中科院一区 Top)

TII 2025 Ruonan Zhao, Laurence T. Yang, Debin Liu*, Wanli Lu, and Xiangli Yang. Lightweight Tensor-based GRU for Trustworthy and Communication Efficient Federated Learning in Industrial IoT. IEEE Transactions on Industrial Informatics (TII), vol. 21, no. 3, pp. 2043–2052, 2025. (IF: 9.8, 中科院一区 Top)

TOMM 2022 CCF B Debin Liu, Laurence T. Yang, Puming Wang, Ruonan Zhao, and Qingchen Zhang. TT-TSVD: A Multi-modal Tensor Train Decomposition with Its Application in Convolutional Neural Networks for Smart Healthcare. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), vol. 18, no. 41, pp. 1–17, 2022. (IF: 5.6, 中科院三区)

TNSE 2024 Debin Liu, Laurence T. Yang, Ruonan Zhao, Jinhua Cui, and Xiangli Yang. An Efficient Tensor-based Transformer for Industrial Internet of Things. IEEE Transactions on Network Science and Engineering (TNSE), vol. 11, no. 3, pp. 2574–2585, 2024. (IF: 7.3, 中科院二区)

TCE 2025 Debin Liu, Laurence T. Yang, Ruonan Zhao, and Honglu Zhao. Tensor-empowered Hardware-friendly Lightweight Deep Neural Networks. IEEE Transactions on Consumer Electronics (TCE), vol. 71, no. 1, pp. 2175–2185, 2025. (IF: 9.9, 中科院二区)

JSTSP 2025 Haixv Lu, Debin Liu*, Laurence T Yang, Ruonan Zhao, Shijie Lian, Songhe Yuan, and Junjie Su. A Zero-shot High-dimensional Feature Fusion with STF-GAN for Cross-domain Image Reconstruction. IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2025, doi: 10.1109/JSTSP.2025.3600191. (IF: 8.5, 中科院一区 Top)

TCE 2025 Haixv Lu, Debin Liu*, Laurence T Yang, Ruonan Zhao, Shijie Lv, Jiawei Wang, and Xiaosong Peng. Share Token Tensorized Attention Fusion: Enhancing Audio-Visual Emotion Recognition for Consumer Electronics. IEEE Transactions on Consumer Electronics (TCE), 2025, doi: 10.1109/TCE.2025.3599517. (IF: 9.9, 中科院二区)

IEEE Network 2025 Ruonan Zhao, Laurence T. Yang, Debin Liu*, Xiangli Yang, and Meiqi Wang. Tensor-empowered Lightweight Representations for Personalized Federated Learning in Heterogeneous 6G Networks. IEEE Network, vol. 39, no. 2, pp. 115–123, 2025. (IF: 8.8, 中科院三区)

TITS 2022 CCF B Ruonan Zhao, Laurence T. Yang, Debin Liu, Xianjun Deng, and Yijun Mo. A Tensor-based Truthful Incentive Mechanism for Blockchain-enabled Space-Air-Ground Integrated Vehicular Crowdsensing. IEEE Transactions on Intelligent Transportation Systems (TITS), vol. 23, no. 3, pp. 2853–2862, 2022. (IF: 9.1, 中科院一区 Top)

TOMM 2023 CCF B Ruonan Zhao, Laurence T. Yang, Debin Liu, Wanli Lu, Chenlu Zhu, and Yiheng Ruan. Tensor-empowered LSTM for Communication-efficient and Privacy-enhancd Cognitive Federated Learning in Intelligent Transportation Systems. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), vol. 20, no. 33, pp. 1–21, 2023. (IF: 5.6, 中科院三区)

TITS 2024 CCF B Ruonan Zhao, Laurence T. Yang, Debin Liu, Xiaokang Zhou, Xianjun Deng, and Xueming Tang. A Multi-modal Tensor Ring Decomposition for Communication-efficient and Trustworthy Federated Learning for Its Covid-19 Scenario. IEEE Transactions on Intelligent Transportation Systems (TITS), vol. 25, no. 5, pp. 3535–3547, 2024. (IF: 9.1, 中科院一区 Top)

IEEE COMST 2023 Laurence T. Yang, Ruonan Zhao, Debin Liu, Wanli Lu, and Xianjun Deng. Tensor Empowered Federated Learning for Cyber-Physical-Social Computing and Communication Systems. IEEE Communications Surveys and Tutorials, vol. 25, no. 3, pp. 1909–1940, 2023. (IF: 50.6, 中科院一区 Top)

IOT 2024 Honglu Zhao, Laurence T. Yang, Zecan Yang, Debin Liu, Xin Nie, and Bocheng Ren. Sparse Bayesian Tensor Completion for Data Recovery in Intelligent IoT Systems. IEEE Internet of Things Journal (IOT), vol. 11, no. 15, pp. 25682–25693, 2024. (IF: 8.7, 中科院一区 Top)

Information Fusion 2025 Songhe Yuan, Laurence T Yang, Debin Liu, Xiaokang Wang, and Jieming Yang. THPFF: A tensor-based high-precision feature fusion model for multi-source data in smart healthcare systems. Information Fusion, vol. 124, pp. 103324, 2025. (IF: 17.4, 中科院一区 Top)

TCE 2025 Xueru Bai, Jieyuan Chen, Laurence T. Yang, Debin Liu, Cen Chen, Xiaokang Wang, and M. Jamal Deen. TT-RNNPool3D: A Tensor-based High-order RNNPool Model for Mobile Edge Consumer Applications. IEEE Transactions on Consumer Electronics (TCE), 2025, doi: 10.1109/TCE.2024.3435410. (IF: 9.9, 中科院二区)

ICME 2026 CCF B Oral Shijie Lian, Ziyi Zhang, Hua Li, Laurence T. Yang, Mengyu Ren, Debin Liu and Wenhui Wu. TUGS: Physics-based Compact Representation of Underwater Scenes by Tensorized Gaussians. IEEE International Conference on Multimedia and Expo (ICME), 2026.

💼 Project

  • National Natural Science Foundation of China (NSFC) Young Scientists Fund (国家自然科学基金青年项目), RMB 200,000, Principal Investigator.

  • China Postdoctoral Science Foundation General Program (中国博士后科学基金面上项目), RMB 80,000 Principal Investigator.

  • Open Research Project funded by Sugon Information Industry (Beijing) Co., Ltd. (曙光信息产业（北京）有限公司开放课题项目), RMB 200,000, Principal Investigator.

  • Industry-funded Research Project with China United Network Communications Co., Ltd., Henan Branch (中国联合网络通信有限公司河南省分公司横向项目), RMB 800,000, Subproject Lead.

  • Zhongyuan Young Outstanding Young Talent Program under Henan Province’s “Zhongyuan Talent Program” (河南省“中原英才计划”—中原青年拔尖人才项目), RMB 500,000, Principal Investigator.

  • National Natural Science Foundation of China Key Program—Modeling Theory and System Design for Safety-Critical Automotive Cyber-Physical Systems (国家自然科学基金重点项目-安全关键汽车信息物理系统建模理论与系统设计) (January 2020–December 2024), Key Subproject Member.

  • Collaborative Project between the HUST Joint Technology Center for Artificial Intelligence and Intelligent Transportation and Hubei Chutian Intelligent Transportation Co., Ltd.—Intelligent Transportation Operations Monitoring, Command, and Dispatch System (华中科技大学人工智能与智能交通联合技术中心与湖北楚天智能交通有限公司合作项目-智慧交通运营监测指挥调度系统) (April 2021–December 2024), Key Project Member.

  • Science and Technology Innovation 2030—“New Generation Artificial Intelligence” Major Project—Research on Key Technologies for AI Foundation Models (科技创新2030“新一代人工智能（2030）”重大项目-人工智能基础模型关键技术研究) (March 2023–March 2024), Key Project Member.

  • National Key Research and Development Program—Fine-Grained Layer-3 Soft Slicing Based on Time-Slot Mapping and Deterministic Forwarding Based on New IP (国家重点研发项目-基于时隙映射的细粒度三层软切片及基于New IP的确定性转发技术) (November 2020–October 2023), Key Subproject Member.

🎖 Honors and Awards

  • 2026 ACM China Rising Star Award (Zhengzhou Branch: 3 members in total, with one recommended for the national selection).
  • 2026 UK National Edge AI Hub Future Star Award (3 recipients worldwide).
  • 2025 IEEE Cybermatics Congress (ICA3PP(CCF C)/Blockchain/SmartData/CPSCom/iThings/GreenCom), Zhengzhou, Henan, IEEE Excellent Organization Organization Award-Local Chiar
  • 2024 IEEE Technical Committee on Scalable Computing (TCSC) Outstanding PhD Dissertation Award (5 recipients worldwide).
  • 2024 IEEE AI+ Congress (TrustCom (CCF C)/BigDataSE/CSE/EUC/iSCI), Sanya, Hainan, IEEE Excellent Organization Award-Organizing Committee Chair
  • 2024 IEEE AI for Science Congress (ISPA (CCF C)/BDCloud/SocialCom/SustainCom/SpaCCS), Kaifeng, Henan, IEEE Outstanding Service Award-Organizing Committee Member
  • 2023 IEEE Cybermatics Congress(Blockchain/SmartData/CPSCom/IThings/CBD/ICPADS (CCF C)), Haihuadao, Hainan, IEEE Distinguished Services Award-Local Chair
  • 2023 华中科技大学“达梦奖学金”
  • 2022 National CyberSecurity Center International Congress (IEEE TrustCom (CCF C)/BigDataSE/CSE/EUC/iSCI), Wuhan, Hubei, IEEE Outstanding Leadership Award-Publicity Chair
  • 2021 IEEE Hyper-Intelligence Congress (HPCC (CCF C)/Smartcity/DSS/DependSys/GPC/DIKW), Haikou, Hainan, IEEE Outstanding Leadership Award-Publicity Chair
  • 2018 全国大学生电子设计竞赛全国二等奖
  • 2017 本科生“国家奖学金”

💻 Patents

  • 阮一恒, 刘德彬, 朱晨露, 杨天若, 邓贤君, 一种基于张量的混合推荐方法及系统, 已授权.
  • 姚博文, 杨天若, 欧阳泽宇, 徐泽汐, 刘德彬, 赵若男, 伦嘉铭, 丁光宇, 易永亮, 严运广, 张卫国, 张鹏飞, 基于张量超图注意力网络的半监督节点分类方法及系统, 已受理.
  • 杨天若, 谭子熠, 杨驰, 崔金华, 刘德彬, 赵若男, 邓贤君, 跨域驾驶异常行为检测模型建立方法及其应用, 已授权.
  • 郭赛迪, 杨天若, 吕秋杰, 赵若男, 刘德彬, 一种基于时空因果的跨模态心脏图像分割方法及系统, 已受理.
  • 吕秋杰, 杨天若, 郭赛迪, 赵若男, 刘德彬, 一种基于跨域元学习的药物分子属性预测方法及系统, 已受理.
  • 杨天若, 谭子熠, 杨驰, 崔金华, 刘德彬, 赵若男, 邓贤君, 一种车辆行为识别模型的构建方法及应用, 已受理.
  • 杨天若, 赵景林, 刘德彬, 崔金华, 赵若男, 王正, 邓贤君, 3D形状还原方法及还原模型的构建方法、设备、存储介质, 已受理.
  • 杨天若, 路万里, 赵若男, 刘德彬, 崔金华, 邓贤君, 基于张量计算和同态门限的安全联邦学习方法及系统, 已受理.
  • 杨天若, 路万里, 赵若男, 刘德彬, 崔金华, 邓贤君, 一种基于多密钥同态加密的联邦学习方法和系统, 已受理.
  • 朱晨露, 刘德彬, 阮一恒, 张立杰, 邓贤君, 杨天若, 一种基于张量的高效Transformer的架构方法, 已受理.

📖 Educations

  • 2024.08 - now, Associate Researcher, School of Computer Science and Artificial Intelligence, Zhengzhou University
  • 2019.09 - 2024.06, PhD student, Huazhong University of Science and Technology, Wuhan, Hubei, China.