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Author

Xiang Li

Observed name: Li, Xiang
Observed institutions: Zhengzhou University of Aeronautics, Beijing Jiaotong University, University of Bristol, East China Normal University, University of Hong Kong, Tsinghua University
ORCID: 0000-0003-0945-145X
Observed ORCID: 0000-0003-0945-145X
OpenAlex ID: A5026630522
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting
2023 · Kangyang Luo, Xiang Li, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 52
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SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
2023 · Xiang Li, Tiandi Ye, et al. · ACM Web Conference (WWW) · 34
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MonoOcc: Digging into Monocular Semantic Occupancy Prediction
2024 · Yupeng Zheng, Xiang Li, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 33
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A fuzzy minimax clustering model and its applications
2011 · Xiang Li, Hau-San Wong, et al. · Information Sciences · 27
SCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks
2020 · Xiang Li, Yao Wu, et al. · IEEE Transactions on Knowledge and Data Engineering · 21
BapFL: You can Backdoor Personalized Federated Learning
2024 · Tiandi Ye, Cen Chen, et al. · ACM Transactions on Knowledge Discovery from Data · 15
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Scalable decoupling graph neural network with feature-oriented optimization
2023 · Ningyi Liao, Dingheng Mo, et al. · The VLDB Journal · 11
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data
2020 · Xiang Li, Ben Kao, et al. · ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · 10
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PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks
2024 · Qingqing Ge, Zeyuan Zhao, et al. · Lecture notes in computer science · 9
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MUSE: Multi-View Contrastive Learning for Heterophilic Graphs
2023 · Mengyi Yuan, Minjie Chen, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 9
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A survey on learning from graphs with heterophily: recent advances and future directions
2025 · Cheng-Hua Gong, Yao Cheng, et al. · Frontiers of Computer Science · 8
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Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence
2024 · Shu Zheng, Tiandi Ye, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 7
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UPFL: Unsupervised Personalized Federated Learning towards New Clients
2024 · Tiandi Ye, Cen Chen, et al. · Society for Industrial and Applied Mathematics eBooks · 5
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Lexical Knowledge Internalization for Neural Dialog Generation
2022 · Zhiyong Wu, Wei Bi, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 5
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Context-Aware Session-Based Recommendation with Graph Neural Networks
2023 · Zhihui Zhang, Jianxiang Yu, et al. · IEEE International Conference on Knowledge Graph (ICKG) · 4
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Remote Sensing Retrieval-Augmented Generation: Bridging remote sensing imagery and comprehensive knowledge with a multimodal dataset and retrieval-augmented generation model
2026 · Congcong Wen, Yiting Lin, et al. · IEEE Geoscience and Remote Sensing Magazine · 2
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Application of hierarchical self-supervised contrastive learning in domain adaptation matching of multimodal remote sensing image
2026 · YiQiang Li, ZhenBao Luo, et al. · Scientific Reports · 1
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DropMix: Better Graph Contrastive Learning with Harder Negative Samples
2023 · Yueqi Ma, Minjie Chen, et al. · IEEE ... International Conference on Data Mining workshops · 1
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An Improved K-means Clustering Algorithm Based on Meliorated Initial Centre
2016 · Xiang Li, Zhenwei Wei, et al. · 1
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Customer Demand Discovery for New Product Design
2005 · Xiang Li, Junhong Zhou, et al. · 1
GraphCBAL-Sys: A Class-Balanced Active Learning System for Graphs
2026 · Chengcheng Yu, Wenqian Zhou, et al. · Lecture notes in computer science
Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning
2025 · Tiandi Ye, Wenyan Liu, et al. · ACM International Conference on Information and Knowledge Management (CIKM)
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BookBot: A Robotic Manipulation Benchmark for Voice-Driven Book Recognition and Grasping in Cluttered Environments
2025 · Huaqiang Wang, Yuan Wang, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
YOLOSAM: A unified and efficient anomaly detection model based on auto mask prompt
2025 · Ruizhi Yu, Weiting Chen, et al. · Signal Image and Video Processing
Relation-Aware Graph Foundation Model
2025 · Yu, Jianxiang, Zhu, Jiapeng, et al. · arXiv (Cornell University)
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Works count: 25
Citation count: 255
H-index: 9
I10-index: 8
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