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Zixing Song
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2020 – today
- 2024
- [j4]Langzhang Liang
, Zenglin Xu
Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization. IEEE Trans. Knowl. Data Eng. 36(5): 2213-2223 (2024) - [c18]Zixing Song, Ziqiao Meng, Irwin King:
A Diffusion-Based Pre-training Framework for Crystal Property Prediction. AAAI 2024: 8993-9001 - [c17]Ziqiao Meng, Liang Zeng, Zixing Song, Tingyang Xu, Peilin Zhao, Irwin King:
Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations. IJCAI 2024: 5981-5989 - [c16]Zixing Song, Xiangli Yang, Yifei Zhang, Xinyu Fu, Zenglin Xu, Irwin King:
A Systematic Survey on Federated Semi-supervised Learning. IJCAI 2024: 8244-8252 - [c15]Yifei Zhang
Geometric View of Soft Decorrelation in Self-Supervised Learning. KDD 2024: 4338-4349 - [i9]Yueen Ma, Zixing Song, Yuzheng Zhuang, Jianye Hao, Irwin King:
A Survey on Vision-Language-Action Models for Embodied AI. CoRR abs/2405.14093 (2024) - [i8]Muzhi Li, Cehao Yang, Chengjin Xu, Zixing Song, Xuhui Jiang, Jian Guo, Ho-fung Leung, Irwin King:
Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning. CoRR abs/2410.16803 (2024) - 2023
- [j3]Xiangli Yang
A Survey on Deep Semi-Supervised Learning. IEEE Trans. Knowl. Data Eng. 35(9): 8934-8954 (2023) - [j2]Zixing Song
Graph-Based Semi-Supervised Learning: A Comprehensive Review. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8174-8194 (2023) - [c14]Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King:
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. AAAI 2023: 11289-11297 - [c13]Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King:
Graph Component Contrastive Learning for Concept Relatedness Estimation. AAAI 2023: 13362-13370 - [c12]Zixing Song
Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks. CIKM 2023: 2331-2341 - [c11]Yifei Zhang
Contrastive Cross-scale Graph Knowledge Synergy. KDD 2023: 3422-3433 - [c10]Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King:
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily. NeurIPS 2023 - [c9]Zixing Song, Yifei Zhang, Irwin King:
No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning. NeurIPS 2023 - [c8]Zixing Song, Yifei Zhang, Irwin King:
Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning. NeurIPS 2023 - [c7]Yifei Zhang, Hao Zhu, Yankai Chen, Zixing Song, Piotr Koniusz, Irwin King:
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective. NeurIPS 2023 - [c6]Yankai Chen
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. SIGIR 2023: 2521-2525 - [i7]Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King:
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. CoRR abs/2305.04410 (2023) - 2022
- [c5]Zixing Song, Irwin King:
Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization. AAAI 2022: 11340-11348 - [c4]Zixing Song, Yifei Zhang, Irwin King
Towards an Optimal Asymmetric Graph Structure for Robust Semi-supervised Node Classification. KDD 2022: 1656-1665 - [c3]Yifei Zhang
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning. KDD 2022: 2524-2534 - [i6]Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning. CoRR abs/2206.04726 (2022) - [i5]Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King
ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization. CoRR abs/2206.08181 (2022) - [i4]Yueen Ma, Zixing Song, Chirui Chang, Yue Yu, Irwin King
ConcreteGraph: A Data Augmentation Method Leveraging the Properties of Concept Relatedness Estimation. CoRR abs/2206.12556 (2022) - [i3]Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. CoRR abs/2212.01026 (2022) - 2021
- [c2]Zixing Song, Ziqiao Meng, Yifei Zhang
Semi-supervised Multi-label Learning for Graph-structured Data. CIKM 2021: 1723-1733 - [i2]Zixing Song, Xiangli Yang, Zenglin Xu, Irwin King:
Graph-based Semi-supervised Learning: A Comprehensive Review. CoRR abs/2102.13303 (2021) - [i1]Xiangli Yang, Zixing Song, Irwin King, Zenglin Xu:
A Survey on Deep Semi-supervised Learning. CoRR abs/2103.00550 (2021)
2010 – 2019
- 2019
- [j1]Zhihan Fang, Yu Yang
MAC: Measuring the Impacts of Anomalies on Travel Time of Multiple Transportation Systems. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(2): 42:1-42:24 (2019) - 2011
- [c1]Xiaolong Bai, Liang Hu, Zixing Song, Feiyan Chen, Kuo Zhao:
Defense against DNS Man-In-The-Middle Spoofing. WISM (1) 2011: 312-319
Coauthor Index
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