Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Towards Similarity-Aware Time-Series Classification.

[BibT_eX]

[DOI]

Daochen Zha

Kwei-Herng Lai

Kaixiong Zhou

Xia Hu

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems.

[BibT_eX]

[DOI]

Chin-Chia Michael Yeh

Yan Zheng

Hao Yang

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Table2Graph: Transforming Tabular Data to Unified Weighted Graph.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

An Information Fusion Approach to Learning with Instance-Dependent Label Noise.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

AdaGCL: Adaptive Subgraph Contrastive Learning to Generalize Large-scale Graph Training.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Automated Machine Learning, 2022

Orthogonal Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Simplifying Deep Reinforcement Learning via Self-Supervision.

[BibT_eX]

[DOI]

CoRR, 2021

Temporal Augmented Graph Neural Networks for Session-Based Recommendations.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Dirichlet Energy Constrained Learning for Deep Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

AutoOD: Neural Architecture Search for Outlier Detection.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Towards Interaction Detection Using Topological Analysis on Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Neural Networks with Knowledge Instillation.

[BibT_eX]

[DOI]

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Towards Deeper Graph Neural Networks with Differentiable Group Normalization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Detecting Interactions from Neural Networks via Topological Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Policy-GNN: Aggregation Optimization for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Multi-Channel Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Multi-Channel Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Auto-GNN: Neural Architecture Search of Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Experience Replay Optimization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2017

Distributed Channel Allocation and Rate Control for Hybrid FSO/RF Vehicular Ad Hoc Networks.

[BibT_eX]

[DOI]

JOCN, 2017

Design and implementation of a novel 100G optical interface protocol converter.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017

Design and demonstration of an indoor visible light communication network with dynamic user access and resource allocation.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017

Transmissions and Network Management of Multiple 100 GB/s Based on Stacking Technology.

[BibT_eX]

[DOI]

Proceedings of the Communications and Networking, 2017

2016

Inter-cell interference coordination for multi-color visible light communication networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015

Enhanced effective SNR prediction for LTE downlink.

[BibT_eX]

[DOI]

Kaixiong Zhou

Lin Zhang

Ming Jiang

Proceedings of the 2015 IEEE/CIC International Conference on Communications in China, 2015

Kaixiong Zhou

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