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Publication search results
found 137 matches
- 2024
- Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen:
Distributed Graph Neural Network Training: A Survey. ACM Comput. Surv. 56(8): 191:1-191:39 (2024) - Shihong Gao, Yiming Li, Yanyan Shen, Yingxia Shao, Lei Chen:
ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs. Proc. VLDB Endow. 17(5): 1060-1072 (2024) - Zhiyuan Li, Xun Jian, Yue Wang, Yingxia Shao, Lei Chen:
DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning. Proc. VLDB Endow. 17(6): 1364-1376 (2024) - Jiawei Jiang, Yi Wei, Yu Liu, Wentao Wu, Chuang Hu, Zhigao Zheng, Ziyi Zhang, Yingxia Shao, Ce Zhang:
How good are machine learning clouds? Benchmarking two snapshots over 5 years. VLDB J. 33(3): 833-857 (2024) - Linmei Hu, Hongyu He, Duokang Wang, Ziwang Zhao, Yingxia Shao, Liqiang Nie:
LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model. AAAI 2024: 18234-18242 - Linmei Hu, Hongyu He, Duokang Wang, Ziwang Zhao, Yingxia Shao, Liqiang Nie:
LLMvsSmall Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model. CoRR abs/2403.07581 (2024) - Yuanhao Zeng, Min Wang, Yihang Wang, Yingxia Shao:
Token-Efficient Leverage Learning in Large Language Models. CoRR abs/2404.00914 (2024) - Jinqing Lian, Xinyi Liu, Yingxia Shao, Yang Dong, Ming Wang, Zhang Wei, Tianqi Wan, Ming Dong, Hailin Yan:
ChatBI: Towards Natural Language to Complex Business Intelligence SQL. CoRR abs/2405.00527 (2024) - 2023
- Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Yingxiao Shao, Hongzhi Yin:
Special Issue of DASFAA 2023. Data Sci. Eng. 8(3): 221-222 (2023) - Xin Zhang, Yanyan Shen, Yingxia Shao, Lei Chen:
DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU. Proc. ACM Manag. Data 1(2): 166:1-166:24 (2023) - Jinqing Lian, Xinyi Zhang, Yingxia Shao, Zenglin Pu, Qingfeng Xiang, Yawen Li, Bin Cui:
ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems. Proc. VLDB Endow. 16(13): 4282-4295 (2023) - Hailin Zhang, Penghao Zhao, Xupeng Miao, Yingxia Shao, Zirui Liu, Tong Yang, Bin Cui:
Experimental Analysis of Large-scale Learnable Vector Storage Compression. Proc. VLDB Endow. 17(4): 808-822 (2023) - Ang Li, Yawen Li, Yingxia Shao, Bingyan Liu:
Multi-View Scholar Clustering With Dynamic Interest Tracking. IEEE Trans. Knowl. Data Eng. 35(9): 9671-9684 (2023) - Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang:
Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-Aware Deep Architecture. IEEE Trans. Knowl. Data Eng. 35(2): 1721-1733 (2023) - Xupeng Miao, Wentao Zhang, Yuezihan Jiang, Fangcheng Fu, Yingxia Shao, Lei Chen, Yangyu Tao, Gang Cao, Bin Cui:
P2CG: a privacy preserving collaborative graph neural network training framework. VLDB J. 32(4): 717-736 (2023) - Ziwei Chen, Linmei Hu, Weixin Li, Yingxia Shao, Liqiang Nie:
Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection. ACL (1) 2023: 627-638 - Zheng Liu, Shitao Xiao, Yingxia Shao, Zhao Cao:
RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models. ACL (1) 2023: 2635-2648 - Ziwang Zhao, Linmei Hu, Hanyu Zhao, Yingxia Shao, Yequan Wang:
Knowledgeable Parameter Efficient Tuning Network for Commonsense Question Answering. ACL (1) 2023: 9051-9063 - Zihong Wang, Yingxia Shao, Jiyuan He, Jinbao Liu, Shitao Xiao, Tao Feng, Ming Liu:
Diversity-aware Deep Ranking Network for Recommendation. CIKM 2023: 2564-2573 - Jingshu Peng, Zhao Chen, Yingxia Shao, Yanyan Shen, Lei Chen, Jiannong Cao:
Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract). IJCAI 2023: 6480-6485 - Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian, Zhao Cao:
LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval. SIGIR 2023: 3095-3099 - Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao, Hongzhi Yin:
Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part I. Lecture Notes in Computer Science 13943, Springer 2023, ISBN 978-3-031-30636-5 [contents] - Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao, Hongzhi Yin:
Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part II. Lecture Notes in Computer Science 13944, Springer 2023, ISBN 978-3-031-30671-6 [contents] - Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao, Hongzhi Yin:
Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part III. Lecture Notes in Computer Science 13945, Springer 2023, ISBN 978-3-031-30674-7 [contents] - Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao, Hongzhi Yin:
Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 13946, Springer 2023, ISBN 978-3-031-30677-8 [contents] - Amr El Abbadi, Gillian Dobbie, Zhiyong Feng, Lu Chen, Xiaohui Tao, Yingxia Shao, Hongzhi Yin:
Database Systems for Advanced Applications. DASFAA 2023 International Workshops - BDMS 2023, BDQM 2023, GDMA 2023, BundleRS 2023, Tianjin, China, April 17-20, 2023, Proceedings. Lecture Notes in Computer Science 13922, Springer 2023, ISBN 978-3-031-35414-4 [contents] - Shitao Xiao, Zheng Liu, Yingxia Shao, Zhao Cao:
RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models. CoRR abs/2305.02564 (2023) - Jinqing Lian, Xinyi Zhang, Yingxia Shao, Zenglin Pu, Qingfeng Xiang, Yawen Li, Bin Cui:
ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems. CoRR abs/2309.12239 (2023) - Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin:
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. CoRR abs/2310.10998 (2023) - Runze Fang, Yawen Li, Yingxia Shao, Zeli Guan, Zhe Xue:
Entity Alignment Method of Science and Technology Patent based on Graph Convolution Network and Information Fusion. CoRR abs/2311.00300 (2023)
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