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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 Hidayetoğlu, 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 Hidayetoğlu, 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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On Interpretability of Artificial Neural Networks


Jan 08, 2020
Fenglei Fan, Jinjun Xiong, Ge Wang


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Tensor Recovery from Noisy and Multi-Level Quantized Measurements


Dec 05, 2019
Ren Wang, Meng Wang, Jinjun Xiong


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Enabling real-time multi-messenger astrophysics discoveries with deep learning


Nov 26, 2019
E. A. Huerta, Gabrielle Allen, Igor Andreoni, Javier M. Antelis, Etienne Bachelet, Bruce Berriman, Federica Bianco, Rahul Biswas, Matias Carrasco, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew Graham, William Gropp, Robert Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Marka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alex Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipőcz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

* Nature Reviews Physics volume 1, pages 600-608 (2019) 
* Invited Expert Recommendation for Nature Reviews Physics. The art work produced by E. A. Huerta and Shawn Rosofsky for this article was used by Carl Conway to design the cover of the October 2019 issue of Nature Reviews Physics 

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DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs


Nov 20, 2019
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-mei Hwu


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The Design and Implementation of a Scalable DL Benchmarking Platform


Nov 19, 2019
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-mei Hwu


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Benanza: Automatic $μ$Benchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs


Nov 19, 2019
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-mei Hwu


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DLBricks: Composable Benchmark Generation toReduce Deep Learning Benchmarking Effort on CPUs


Nov 18, 2019
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-mei Hwu


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NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving


Nov 18, 2019
Cong Hao, Yao Chen, Xinheng Liu, Atif Sarwari, Daryl Sew, Ashutosh Dhar, Bryan Wu, Dongdong Fu, Jinjun Xiong, Wen-mei Hwu, Junli Gu, Deming Chen

* 8 pages, ICCAD 2019 

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