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Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks


Oct 12, 2021
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong

* Thirty-fifth Conference on Neural Information Processing Systems, 2021 

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Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs


Sep 08, 2021
Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Jinjun Xiong, Yiyu Shi, Weiwen Jiang


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Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow


Sep 08, 2021
Zhiding Liang, Zhepeng Wang, Junhuan Yang, Lei Yang, Jinjun Xiong, Yiyu Shi, Weiwen Jiang


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Open Relation Modeling: Learning to Define Relations between Entities


Aug 20, 2021
Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-mei Hwu


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Generic Neural Architecture Search via Regression


Aug 04, 2021
Yuhong Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen


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Global Rhythm Style Transfer Without Text Transcriptions


Jun 16, 2021
Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David Cox, Mark Hasegawa-Johnson


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Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach


May 27, 2021
Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-mei Hwu

* Accepted to ACL 2021 

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Heterogeneous Contrastive Learning


May 19, 2021
Lecheng Zheng, Yada Zhu, Jingrui He, Jinjun Xiong


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Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection


Apr 29, 2021
Jiachen Li, Bowen Cheng, Rogerio Feris, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Humphrey Shi

* CVPR 2021 Workshop 

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Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design


Mar 30, 2021
Cong Hao, Jordan Dotzel, Jinjun Xiong, Luca Benini, Zhiru Zhang, Deming Chen

* Accepted by IEEE Design & Test (D&T) 

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Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture


Mar 04, 2021
Seung Won Min, Kun Wu, Sitao Huang, Mert Hidayeto─člu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei Hwu


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PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses


Jan 20, 2021
Seung Won Min, Kun Wu, Sitao Huang, Mert Hidayeto─člu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei Hwu


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When Machine Learning Meets Quantum Computers: A Case Study


Dec 18, 2020
Weiwen Jiang, Jinjun Xiong, Yiyu Shi

* Invited paper at ASP-DAC'21 

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Interpretable Visual Reasoning via Induced Symbolic Space


Nov 23, 2020
Zhonghao Wang, Mo Yu, Kai Wang, Jinjun Xiong, Wen-mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi


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Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices


Oct 15, 2020
Cong Hao, Yao Chen, Xiaofan Zhang, Yuhong Li, Jinjun Xiong, Wen-mei Hwu, Deming Chen

* GLSVLSI, September 7-9, 2020 

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Exploring Semantic Capacity of Terms


Oct 05, 2020
Jie Huang, Zilong Wang, Kevin Chen-Chuan Chang, Wen-mei Hwu, Jinjun Xiong

* Accepted to EMNLP 2020 

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At-Scale Sparse Deep Neural Network Inference with Efficient GPU Implementation


Sep 02, 2020
Mert Hidayetoglu, Carl Pearson, Vikram Sharma Mailthody, Eiman Ebrahimi, Jinjun Xiong, Rakesh Nagi, Wen-Mei Hwu

* High Performance Extreme Computing (2020) 
* 7 pages 

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Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases


Jul 31, 2020
Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang


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Efficient Inference on GPUs for the Sparse Deep Neural Network Graph Challenge 2020


Jul 28, 2020
Mert Hidayetoglu, Carl Pearson, Vikram Sharma Mailthody, Eiman Ebrahimi, Jinjun Xiong, Rakesh Nagi, Wen-mei W Hwu

* 7 pages 

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ICA-UNet: ICA Inspired Statistical UNet for Real-time 3D Cardiac Cine MRI Segmentation


Jul 18, 2020
Tianchen Wang, Xiaowei Xu, Jinjun Xiong, Qianjun Jia, Haiyun Yuan, Meiping Huang, Jian Zhuang, Yiyu Shi

* MICCAI2020, 12 pages, 3 figures 

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Can Quantum Computers Learn Like Classical Computers? A Co-Design Framework for Machine Learning and Quantum Circuits


Jun 26, 2020
Weiwen Jiang, Jinjun Xiong, Yiyu Shi

* 10 pages, 9 figures 

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Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case


Jun 25, 2020
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong

* International Conference on Machine Learning (ICML 2020) 

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A Multi-Perspective Architecture for Semantic Code Search


May 06, 2020
Rajarshi Haldar, Lingfei Wu, Jinjun Xiong, Julia Hockenmaier

* ACL 2020 

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EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions


May 06, 2020
Yuhong Li, Cong Hao, Xiaofan Zhang, Xinheng Liu, Yao Chen, Jinjun Xiong, Wen-mei Hwu, Deming Chen

* Accepted by Design Automation Conference (DAC'2020) 

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Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation


Apr 22, 2020
Zhonghao Wang, Mo Yu, Yunchao Wei, Rogerio Feris, Jinjun Xiong, Wen-mei Hwu, Thomas S. Huang, Honghui Shi

* CVPR 2020 

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Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation


Apr 02, 2020
Zhonghao Wang, Yunchao Wei, Rogerior Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi


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Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising


Feb 27, 2020
Jinglan Liu, Yukun Ding, Jinjun Xiong, Qianjun Jia, Meiping Huang, Jian Zhuang, Bike Xie, Chun-Chen Liu, Yiyu Shi

* Accepted in ISBI 2020. 5 pages, 4 figures 

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DLSpec: A Deep Learning Task Exchange Specification


Feb 26, 2020
Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-Mei Hwu


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MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale


Feb 19, 2020
Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-mei Hwu


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