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李平

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基本信息

李平,女,博士,研究員

郵件地址:pingkly at 163 dot com

個人簡歷

李平,西南石油大學計算機科學學院研究員。四川省學術與技術帶頭人后備人選,電子科技大學與德國波茨坦大學聯合培養博士,香港理工大學博士后,香港城市大學、清華大學、德國馬普所訪問學者/學生。主要從事圖神經網絡、自然語言處理、復雜系統及其動力學研究,在人工智能/機器學習頂級會議ICML、EMNLP以及頂級期刊TKDE、TKDD、TVT、TIT、Neural Networks等發表SCI論文60余篇,《中文信息學報》、《中國科學:信息科學》、《情報科學》等中文核心期刊發表論文十余篇,主持及參與國家自然科學基金、省自然科學基金等項目多項,授權國家發明專利30余項。

主要研究方向

圖挖掘、圖深度學習及其應用

代表性成果

部分已發表論文:

? Honghao, Wang, Yuan Zhong, Junlei Tang, Kai Zhang*, Ping Li* et al.. “Chain-aware graph neural networks for molecular property prediction”. Bioinformatics, 2024.
? Rui Huang, Ping Li*, Kai Zhang. “DPGCL: Dual pass filtering based graph contrastive learning”, Neural Networks, 2024(179),106517.
? Huang Jincheng, Ping Li*, Huang Rui, Chen Na, Zhang Acong. Revisiting the Role of Heterophily in Graph Representation Learning: An Edge Classification Perspective[J]. ACM Transactions on Knowledge Discovery from Data(TKDD), 2024 ,18 (1).
? Yu Dai, Junchen Shen, Zijie Zhai, Danlin Liu, Jingyang Chen, Yu Sun, Ping Li, Jie Zhang, Kai Zhang.” High-Order Contrastive Learning with Fine-grained Comparative Levels for Sparse Ordinal Tensor Completion”, Forty-First International Conference on Machine Learning (ICML) 2024.
? Zijie Zhai, Jingyang Chen, Ping Li, Jie Zhang, Kai Zhang. “Flexible-order Feature-interaction for Mixed Continuous and Discrete Variables with Group-level Interpretability”, ICONIP 2024.
? Pinyi Zhang, , Ping Li, Jie Zhang, and Kai Zhang. “Message Passing on Semantic-Anchor-Graphs for Fine-grained Emotion Representation Learning and Classification”, Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing(EMNLP 2024)
? Zhang Acong, Huang Jincheng, Li Ping*, Zhang Kai. “Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks,” ACM Transactions on Knowledge Discovery from Data(TKDD), 2024 March. online.
? Li Pan, Li Ping*, Zhang Kai. “Dual-Channel Span for Aspect Sentiment Triplet Extraction,” Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing(EMNLP 2023),2023: 248-261.
? Gu Tianyi, Huang Kaiwen, Zhang Jie, Zhang Kai, Li Ping*. “Fast Convolutional Factorization Machine with Enhanced Robustness,” IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021.
? Chen Kaiqi; Yu Lanlan; Zhu Tingting; Li Ping*; Kurths Jurgen. Succinct Representation of Dynamic Networks[J]. IEEE Transactions on Knowledge and Data Engineering(TKDE), 2021 ,33 (7) :2983-2994.
? Wang Yang, Zheng Jin, Du Yuqi, Huang Cheng, Li Ping. “Traffic-GGNN: Predicting Traffic Flow via Attentional Spatial-Temporal Gated Graph Neural Networks,” IEEE Transactions on Intelligent Transportation Systems(TITS), 2022.
? Huang Rui, Li  Ping*. “Hub-hub connections matter: Improving edge dropout to relieve over-smoothing in graph neural networks,” Knowledge-Based Systems, 2023 ,270.
? Zhu Tingting, Li Ping*, Yu Lanlan, Chen Kaiqi, Chen Yan. “Change point detection in dynamic networks based on community identification,” IEEE Transactions on Network Science and Engineering (TNSE), 2020, 7(3): 2067-2077.
? Li Ping, Chen Kaiqi, Ge Yi, Zhang Kai, Small Michael, “Bipartite Centrality Diffusion: Mining higher-order network structures via motif-vertex interactions,” Eur. Phys. Letts.2017, 120(2): 0-28003.
? Li Ping, Zhang Kai, Xu Xiaoke, Zhang Jie. “Reexamination of explosive synchronization in scale-free networks: The effect of disassortativity,” Phys. Rev. E, 2013, 87(4): 042803.
? Li Ping, Sun Xian, Zhang Kai, Zhang Jie, Small Michael. “Degree-based attacks are not optimal for desynchronization in general networks,” Phys. Rev. E, 2013, 88(2): 022817.

更新時間:2025-02-27

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