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Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report


May 17, 2021
Andrey Ignatov, Kim Byeoung-su, Radu Timofte, Angeline Pouget, Fenglong Song, Cheng Li, Shuai Xiao, Zhongqian Fu, Matteo Maggioni, Yibin Huang, Shen Cheng, Xin Lu, Yifeng Zhou, Liangyu Chen, Donghao Liu, Xiangyu Zhang, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Minsu Kwon, Myungje Lee, Jaeyoon Yoo, Changbeom Kang, Shinjo Wang, Bin Huang, Tianbao Zhou, Shuai Liu, Lei Lei, Chaoyu Feng, Liguang Huang, Zhikun Lei, Feifei Chen

* Mobile AI 2021 Workshop and Challenges: https://ai-benchmark.com/workshops/mai/2021/. arXiv admin note: substantial text overlap with arXiv:2105.07809, arXiv:2105.07825 

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LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding


Apr 16, 2021
Te-Lin Wu, Cheng Li, Mingyang Zhang, Tao Chen, Spurthi Amba Hombaiah, Michael Bendersky


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Supervised Learning in the Presence of Noise: Application in ICD-10 Code Classification


Mar 13, 2021
Youngwoo Kim, Cheng Li, Bingyang Ye, Amir Tahmasebi, Javed Aslam


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Efficient Multi-Stage Video Denoising with Recurrent Spatio-Temporal Fusion


Mar 09, 2021
Matteo Maggioni, Yibin Huang, Cheng Li, Shuai Xiao, Zhongqian Fu, Fenglong Song

* CVPR2021 

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Robustness Testing of Language Understanding in Dialog Systems


Dec 30, 2020
Jiexi Liu, Ryuichi Takanobu, Jiaxin Wen, Dazhen Wan, Weiran Nie, Hongyan Li, Cheng Li, Wei Peng, Minlie Huang


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AIDE: Annotation-efficient deep learning for automatic medical image segmentation


Dec 14, 2020
Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Ismail Ben Ayed, Hairong Zheng, Hanchuan Peng, Shanshan Wang


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Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions


Aug 20, 2020
Shuangjun Liu, Xiaofei Huang, Nihang Fu, Cheng Li, Zhongnan Su, Sarah Ostadabbas


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A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint


Aug 06, 2020
Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang


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A Complex KBQA System using Multiple Reasoning Paths


May 22, 2020
Kechen Qin, Yu Wang, Cheng Li, Kalpa Gunaratna, Hongxia Jin, Virgil Pavlu, Javed A. Aslam


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Towards in-store multi-person tracking using head detection and track heatmaps


May 16, 2020
Aibek Musaev, Jiangping Wang, Liang Zhu, Cheng Li, Yi Chen, Jialin Liu, Wanqi Zhang, Juan Mei, De Wang


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Hierarchically Fair Federated Learning


May 01, 2020
Jingfeng Zhang, Cheng Li, Antonio Robles-Kelly, Mohan Kankanhalli


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Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching


Apr 26, 2020
Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork

* arXiv preprint version. 10 pages 

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Downstream Model Design of Pre-trained Language Model for Relation Extraction Task


Apr 08, 2020
Cheng Li, Ye Tian


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Incorporating Expert Prior in Bayesian Optimisation via Space Warping


Mar 27, 2020
Anil Ramachandran, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh

* Knowledge-Based Systems (2020) 105663 
* 21 Pages, 8 figures. To be published in Elsevier 

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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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Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling


Feb 26, 2020
Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Antonio Robles-Kelly, Svetha Venkatesh


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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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Non-rigid Registration Method between 3D CT Liver Data and 2D Ultrasonic Images based on Demons Model


Dec 31, 2019
Shuo Huang, Ke wu, Xiaolin Meng, Cheng Li


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


Nov 16, 2019
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-mei Hwu


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Self-Adaptive Network Pruning


Oct 20, 2019
Jinting Chen, Zhaocheng Zhu, Cheng Li, Yuming Zhao

* Published as a conference paper at ICONIP 2019 
* 10 pages, 5 figures, conference 

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Efficiently Embedding Dynamic Knowledge Graphs


Oct 15, 2019
Tianxing Wu, Arijit Khan, Huan Gao, Cheng Li

* 14 pages 

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AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers


Sep 23, 2019
Wei Zhang, Wei Wei, Lingjie Xu, Lingling Jin, Cheng Li


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Bayesian Network Based Risk and Sensitivity Analysis for Production Process Stability Control


Sep 10, 2019
Wei Xie, Bo Wang, Cheng Li, Jared Auclair, Peter Baker

* 42 pages, 4 figures, under review, submitted to European Journal of Operational Research (EJOR) 

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Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild


Aug 20, 2019
Yu Rong, Ziwei Liu, Cheng Li, Kaidi Cao, Chen Change Loy

* To appear in ICCV 2019. Code and models are available at https://penincillin.github.io/dct_iccv2019 

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Across-Stack Profiling and Characterization of Machine Learning Models on GPUs


Aug 19, 2019
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wei Wei, Lingjie Xu, Wen-mei Hwu


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