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HiKonv: Maximizing the Throughput of Quantized Convolution With Novel Bit-wise Management and Computation


Jul 22, 2022
Yao Chen, Junhao Pan, Xinheng Liu, Jinjun Xiong, Deming Chen

* The conference version is pubilished in Proceedings of ASP-DAC 2022. arXiv admin note: substantial text overlap with arXiv:2112.13972 

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Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling


Jul 07, 2022
Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong


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DKG: A Descriptive Knowledge Graph for Explaining Relationships between Entities


May 21, 2022
Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-mei Hwu


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A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction


May 11, 2022
Yong Xie, Dakuo Wang, Pin-Yu Chen, Jinjun Xiong, Sijia Liu, Sanmi Koyejo

* NAACL short paper, github: https://github.com/yonxie/AdvFinTweet 

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QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration


Apr 01, 2022
Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen


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How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis


Jan 25, 2022
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong

* Tenth International Conference on Learning Representations 2022 
* 15 pages 

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HiKonv: High Throughput Quantized Convolution With Novel Bit-wise Management and Computation


Dec 28, 2021
Xinheng Liu, Yao Chen, Prakhar Ganesh, Junhao Pan, Jinjun Xiong, Deming Chen

* 7 pages, 6 figures. Accepted by ASP-DAC 2022 

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Graph Neural Network Training with Data Tiering


Nov 10, 2021
Seung Won Min, Kun Wu, Mert Hidayetoğlu, Jinjun Xiong, Xiang Song, Wen-mei Hwu


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MLHarness: A Scalable Benchmarking System for MLCommons


Nov 09, 2021
Yen-Hsiang Chang, Jianhao Pu, Wen-mei Hwu, Jinjun Xiong


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