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Time set to 2199 :)
Reinforcement Learning and LLM Post-Training: How Does DeepSeek R1 Gain Reasoning Capabilities?
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This is a very detailed doc for RL and LLM Reasoning. I folked this page from Wei-Min Lu.
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publications
Application of Mobile Games to Support Clinical Data Collection for Patients with Niemann-Pick Disease
Published in IEEE 28th International Symposium on Computer-Based Medical Systems, 2015
Authors: Richard O. Sinnott, Jun Han, William Hu, Xiaoxiao Ma, Kuai Yu
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A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Published in IEEE Transactions on Knowledge and Data Engineering, 2021
Authors: Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Chuan Zhou, Quan Z. Sheng, Hui Xiong, Leman Akoglu
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Deep Multi-Attributed-View Graph Representation Learning
Published in IEEE Transactions on Network Science and Engineering, 2022
Authors: Xiaoxiao Ma, Shan Xue, Jia Wu, Jian Yang, Cecile Paris, Surya Nepal, and Quan Z. Sheng
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DAGAD: Data Augmentation for Graph Anomaly Detection
Published in ICDM, 2022
Authors: *Fanzhen Liu, *Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal
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Heterogeneous Hypergraph Neural Network for Social Recommendation using Attention Network
Published in ACM Transactions on Recommender Systems, 2023
Authors: Bilal Khan, Jia Wu, Jian Yang, Xiaoxiao Ma
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Heterogeneous Graph Neural Network via Knowledge Relations for Fake News Detection
Published in SSDBM, 2023
Authors: Bingbing Xie, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Hao fan
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Towards Graph-level Anomaly Detection via Deep Evolutionary Mapping
Published in KDD, 2023
Authors: Xiaoxiao Ma, Jia Wu, Jian Yang, Quan Z. Sheng
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Knowledge graph enhanced heterogeneous graph neural network for fake news detection
Published in IEEE Transactions on Consumer Electronics, 2024
Authors: Bingbing Xie, Xiaoxiao Ma, Jia Wu, Jian Yang, Hao Fan
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Heterogeneous subgraph transformer for fake news detection
Published in The Web Conference 2024, 2024
Authors: Yuchen Zhang, Xiaoxiao Ma, Jia Wu, Jian Yang, Hao Fan
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Graph Anomaly Detection with Few Labels: A Data-Centric Approach
Published in KDD, 2024
Authors: *Xiaoxiao Ma, Ruikun Li, Fanzhen Liu, Kaize Ding, Jian Yang, Jia Wu
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Divide and denoise: Empowering simple models for robust graph semi-supervised learning against label noise
Published in KDD, 2024
Authors: Kaize Ding, Xiaoxiao Ma, Yixin Liu, Shirui Pan
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On Fake News Detection with LLM Enhanced Semantics Mining
Published in EMNLP, 2024
Authors: *Xiaoxiao Ma, Yuchen Zhang, Kaize Ding, Jian Yang, Jia Wu, Hao Fan
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Rethinking unsupervised graph anomaly detection with deep learning: Residuals and objectives
Published in IEEE Transactions on Knowledge and Data Engineering, 2025
Authors: Xiaoxiao Ma, Fanzhen Liu, Jia Wu, Jian Yang, Shan Xue, Quan Z. Sheng
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Multiknowledge and LLM-inspired heterogeneous graph neural network for fake news detection
Published in IEEE Transactions on Computational Social Systems, 2025
Authors: Bingbing Xie, Xiaoxiao Ma, Xue Shan, Amin Beheshti, Jian Yang, Hao Fan, Jia Wu
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Contrastive multi-knowledge graph learning for fake news detection
Published in IEEE Transactions on Network Science and Engineering, 2025
Authors: Bingbing Xie, Xiaoxiao Ma, Shan Xue, Jian Yang, Jia Wu, Hao Fan
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NEWRevisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning
Published in Proceedings of the ACM Web Conference 2026, 2026
Authors: Zhenyu Yang, Ge Zhang, Shan Xue, Xiaoxiao Ma, Jian Yang, Hao Peng, Amin Beheshti, Jia Wu
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NEWSemi-Supervised Fake News Detection with Mixture of Experts
Published in Proceedings of the ACM Web Conference 2026, 2026
Authors: Zhenyu Yang, Chaoyu Yang, Wenfeng Xu, Xiuxiu Hao, Huan Wang, Ge Zhang, Xiaoxiao Ma, Jun Shen
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