個(gè)人簡(jiǎn)介

李段騰川，武漢大學(xué)信息管理學(xué)院特聘副研究員，博士畢業(yè)于武漢大學(xué)計(jì)算機(jī)學(xué)院。在國(guó)內(nèi)外重要學(xué)術(shù)期刊和會(huì)議發(fā)表學(xué)術(shù)論文40余篇，其中包括中科院SCI 1區(qū)/計(jì)算機(jī)學(xué)會(huì)A類期刊和會(huì)議論文20余篇，擔(dān)任 IEEE TCSS、ACM TOIS、ACM TKDD、IEEE TKDE、IEEE TNNLS、IP&M、KBS、EAAI、以及Pattern Recognition等國(guó)際期刊同行評(píng)審專家。

研究方向

智慧數(shù)據(jù)構(gòu)建、數(shù)據(jù)挖掘、知識(shí)圖譜、大語(yǔ)言模型、基于AI的智慧服務(wù)。

學(xué)術(shù)成果

部分期刊和會(huì)議論文（*表示通訊作者，#表示共同第一作者）

[1] F. Shi, D. Li*, et al., "TGformer: A Graph Transformer Framework for Knowledge Graph Embedding," IEEE Transactions on Knowledge and Data Engineering, vol. 37, no. 1, pp. 526-541, 2025. (CCF A)

[2] D. Li, et al., “Homogeneous graph neural networks for third-party library recommendation,” Information Processing & Management, Volume 61, Issue 6, 2024, 103831. (SCI 1區(qū)Top, CCF B)

[3] Y. Liu, D. Li*, et al., “Are LLMs good at structured outputs? A benchmark for evaluating structured output capabilities in LLMs,” Information Processing & Management, Volume 61, Issue 5, 2024, 103809. (SCI 1區(qū)Top, CCF B)

[4] F. Shi, P. Qing, D. Yang, N. Wang, Y. Lei, H. Lu, X. Lin, D. Li., “Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models,” NAACL Findings 2024. (CCF B)

[5] D Li, et al., “Multi-perspective knowledge graph completion with global and interaction features,” Information Sciences, Volume 666, 2024, 120438. (SCI 1區(qū)Top, CCF B)

[6] K. Lin, D Li, et al., “FHCPL: An Intelligent Fixed-Horizon Constrained Policy Learning System for Risk-Sensitive Industrial Scenario,” IEEE Transactions on Industrial Informatics, vol. 20, no. 4, pp. 5794-5804, 2024. (SCI 1區(qū)Top, CCF C)

[7] K. Lin, Y. Li, S. Chen, D. Li and X. Wu, "Motion Planner With Fixed-Horizon Constrained Reinforcement Learning for Complex Autonomous Driving Scenarios," IEEE Transactions on Intelligent Vehicles, vol. 9, no. 1, pp. 1577-1588, 2024. (SCI 1區(qū))

[8] K. Lin, D. Li, et al., "TAG: Teacher-Advice Mechanism With Gaussian Process for Reinforcement Learning," IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 9, pp. 12419-12433, 2024. (SCI 1區(qū)Top, CCF B)

[9] D. Li, et al., “SDFormer: A shallow-to-deep feature interaction for knowledge graph embedding,” Knowledge-Based Systems, Volume 284, 2024, 111253. (SCI 1區(qū)Top, CCF C)

[10] D. Li, et al., “Joint inter-word and inter-sentence multi-relation modeling for summary-based recommender system,” Information Processing & Management, Volume 61, Issue 3, 2024, 103631. (SCI 1區(qū)Top, CCF B)

[11] Y. Liu, D. Li*, et al., “MDLR: A Multi-Task Disentangled Learning Representations for unsupervised time series domain adaptation,” Information Processing & Management, Volume 61, Issue 3, 2024, 103638. (SCI 1區(qū)Top, CCF B)

[12] B. Liu^#, D. Li^#, et al., “Integrating user short-term intentions and long-term preferences in heterogeneous hypergraph networks for sequential recommendation,” Information Processing & Management, Volume 61, Issue 3, 2024, 103680. (SCI 1區(qū)Top, CCF B)

[13] K. Lin, Y. Li, Q. Liu, D. Li, et al., “Almost surely safe exploration and exploitation for deep reinforcement learning with state safety estimation,” Information Sciences, Volume 662, 2024, 120261. (SCI 1區(qū)Top, CCF B)

[14] W. Zhao, S. Wang, X. Wang, D. Li*, et al., “DADL: Double Asymmetric Distribution Learning for head pose estimation in wisdom museum,” Journal of King Saud University-Computer and Information Sciences, Volume 36, Issue 1, 2024, 101869. (SCI 2區(qū))

[15] Z. Li, Q. Zhang, F. Zhu, D. Li*, et al, “Knowledge graph representation learning with simplifying hierarchical feature propagation,” Information Processing & Management, 60: 103348, 2023. (SCI 1區(qū)Top, CCF B)

[16] J. Wang, Q. Zhang, F. Shi, D. Li*, et al, “Knowledge graph embedding model with attention-based high-low level features interaction convolutional network,” Information Processing & Management, 27: 103350, 2023. (SCI 1區(qū)Top, CCF B)

[17] H. Liu, S. Fang, Z. Zhang, D. Li, et al. “MFDNet: Collaborative Poses Perception and Matrix Fisher Distribution for Head Pose Estimation” IEEE Transactions Multimedia, 24: 2449-2460, 2022. (SCI 1區(qū)Top, CCF B)

[18] H Liu, C Zheng, D Li*, et al., "EDMF: Efficient Deep Matrix Factorization With Review Feature Learning for Industrial Recommender System," IEEE Transactions on Industrial Informatics, vol. 18, no. 7, pp. 4361-4371, 2022. (SCI 1區(qū)Top, CCF C)

[19] H. Liu, C. Zheng, D. Li, et al. “Multi-perspective social recommendation method with graph representation learning,” Neurocomputing, 468: 469-481, 2022. (SCI 2區(qū)Top, CCF C)

[20] H. Liu, D. Li*, et al. “Precise head pose estimation on HPD5A database for attention recognition based on convolutional neural network in human-computer interaction,” Infrared Physics & Technology,116, 10374, 2021. (SCI 2區(qū))

[21] F. Wu, D. Li*, et al. “Efficient Nodes Representation Learning with Residual Feature Propagation,” PAKDD (2) 2021: 156-167. (CCF C)

[22] D. Li, et al., “CARM: Confidence-aware recommender model via review representation learning and historical rating behavior in the online platforms,” Neurocomputing, 455: 283-296, 2021. (SCI 2區(qū)Top, CCF C)

科研項(xiàng)目

[1] 面向不確定性需求的認(rèn)知服務(wù)構(gòu)造與演化機(jī)理，國(guó)家自然科學(xué)基金重點(diǎn)項(xiàng)目，No. 62032016，參與

[2] 多模態(tài)數(shù)據(jù)驅(qū)動(dòng)的自閉癥兒童“動(dòng)作-情感”識(shí)別與體感互動(dòng)游戲干預(yù)研究，國(guó)家自然科學(xué)基金，No. 62307034，參與

[3] 任務(wù)元驅(qū)動(dòng)的自我調(diào)節(jié)學(xué)習(xí)服務(wù)理論及關(guān)鍵技術(shù)研究，國(guó)家自然科學(xué)基金，No. 62077020，參與

[4] 醫(yī)學(xué)教育知識(shí)圖譜構(gòu)建與服務(wù)關(guān)鍵技術(shù)研究與應(yīng)用，湖北省重點(diǎn)研發(fā)計(jì)劃項(xiàng)目，No. 2021BAA031，參與

[5] 醫(yī)工交叉白血病智能藥物篩選平臺(tái)的建立，湖北省重點(diǎn)研發(fā)計(jì)劃項(xiàng)目，No. 2023BCB025，參與