Dawei Li

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All published works

Action	Title	Year	Authors
+ PDF Chat	SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents	2024	Dawei Li Zhen Tan Peijia Qian Yifan Li Kiran Chaudhary Lijie Hu Jiayi Shen
+ PDF Chat	Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs	2024	Tianqi Shang Shuhua Yang Wenping He Tianhua Zhai Dawei Li Bojian Hou Tianlong Chen Jason H. Moore Marylyn D. Ritchie Li Shen
+	RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture	2024	Aman Gupta Anup Shirgaonkar Angels de Luis Balaguer Bruno Silva Daniel M. Holstein Dawei Li Jennifer Marsman Leonardo O. Nunes Mahsa Rouzbahman Morris Sharp
+	Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML	2019	Jie Zhang Junting Zhang Shalini Ghosh Dawei Li Jingwen Zhu Heming Zhang Yalin Wang
+ PDF Chat	An Integrated Image Filter for Enhancing Change Detection Results	2019	Dawei Li Siyuan Yan Xin Cai Yan Cao Sifan Wang
+	An overlapping-free leaf segmentation method for plant point clouds	2019	Dawei Li Yan Cao Guoliang Shi Xin Cai Chen Yang Sifan Wang Siyuan Yan
+	RILOD: Near Real-Time Incremental Learning for Object Detection at the Edge	2019	Dawei Li Şerafettin Taşcı Shalini Ghosh Jingwen Zhu Junting Zhang Larry Heck
+	LCANet: End-to-End Lipreading with Cascaded Attention-CTC	2018	Kai Xu Dawei Li Nick Cassimatis Xiaolong Wang

Common Coauthors

Coauthor	Papers Together
Junting Zhang	2
Shalini Ghosh	2
Xin Cai	2
Sifan Wang	2
Yan Cao	2
Siyuan Yan	2
Anup Shirgaonkar	1
Nick Cassimatis	1
Mahsa Rouzbahman	1
Jingwen Zhu	1
Jennifer Marsman	1
Renato L. F. Cunha	1
Heming Zhang	1
Lijie Hu	1
Chen Yang	1
Roberto de Moura Estevão Filho	1
Leonardo O. Nunes	1
Daniel M. Holstein	1
Kai Xu	1
Marylyn D. Ritchie	1
Swati Sharma	1
Vinamra Benara	1
Angels de Luis Balaguer	1
Nick Mecklenburg	1
Todd Hendry	1
Vijay Aski	1
Vijetha Vijayendran	1
Shuhua Yang	1
Li Shen	1
Xiaolong Wang	1
Yifan Li	1
Jie Zhang	1
Bruno Silva	1
Yalin Wang	1
Jiayi Shen	1
Aman Gupta	1
Jingwen Zhu	1
Zhen Tan	1
Kiran Chaudhary	1
Tianlong Chen	1
Guoliang Shi	1
Jason H. Moore	1
Morris Sharp	1
Ranveer Chandra	1
Şerafettin Taşcı	1
Ryan Tsang	1
Tianqi Shang	1
Larry Heck	1
Tianhua Zhai	1
Bojian Hou	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	2
+	Learning without Forgetting	2017	Zhizhong Li Derek Hoiem	2
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	2
+	Do Deep Nets Really Need to be Deep?	2013	Jimmy Ba Rich Caruana	1
+	Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials	2012	Philipp Krähenbühl Vladlen Koltun	1
+	Net2Net: Accelerating Learning via Knowledge Transfer	2015	Tianqi Chen Ian Goodfellow Jonathon Shlens	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	2016	Forrest Iandola Song Han Matthew W. Moskewicz Khalid Ashraf William J. Dally Kurt Keutzer	1
+	Evaluating and Improving the Depth Accuracy of Kinect for Windows v2	2015	Yang Lin Longyu Zhang Haiwei Dong Abdulhameed Alelaiwi Abdulmotaleb El Saddik	1
+ PDF Chat	DLAU: A Scalable Deep Learning Accelerator Unit on FPGA	2016	Chao Wang Lei Gong Qi Yu Xi Li Yuan Xie Xuehai Zhou	1
+ PDF Chat	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	2017	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	1
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	1
+	Overcoming catastrophic forgetting in neural networks	2017	James Kirkpatrick Razvan Pascanu Neil C. Rabinowitz Joel Veness Guillaume Desjardins Andrei A. Rusu Kieran Milan John Quan Tiago Ramalho Agnieszka Grabska‐Barwińska	1
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	1
+ PDF Chat	Deeply Supervised Salient Object Detection with Short Connections	2018	Qibin Hou Ming‐Ming Cheng Xiaowei Hu Ali Borji Zhuowen Tu Philip H. S. Torr	1
+	PathNet: Evolution Channels Gradient Descent in Super Neural Networks	2017	Chrisantha Fernando Dylan Banarse Charles Blundell Yori Zwólš David Ha Andrei A. Rusu Alexander Pritzel Daan Wierstra	1
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	1
+	Gradient Episodic Memory for Continual Learning	2017	David López-Paz Marc’Aurelio Ranzato	1
+	Incremental Learning of Object Detectors without Catastrophic Forgetting	2017	Konstantin Shmelkov Cordelia Schmid Karteek Alahari	1
+	Leveraging multiple datasets for deep leaf counting	2017	Andrei Dobrescu Mario Valerio Giuffrida Sotirios A. Tsaftaris	1
+	Memory Aware Synapses: Learning what (not) to forget	2017	Rahaf Aljundi Francesca Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars	1
+	Less-forgetful Learning for Domain Expansion in Deep Neural Networks	2017	Heechul Jung Jeongwoo Ju Minju Jung Junmo Kim	1
+ PDF Chat	Foreground segmentation using convolutional neural networks for multiscale feature encoding	2018	Long Ang Lim Hacer Yalım Keleş	1
+	Efficient Neural Architecture Search via Parameter Sharing	2018	Hieu Pham Melody Y. Guan Barret Zoph Quoc V. Le Jeff Dean	1
+	Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting	2018	Xialei Liu Marc Masana Luis Herranz Joost van de Weijer Antonio M. López Andrew D. Bagdanov	1
+	Continual Learning Through Synaptic Intelligence	2017	Friedemann Zenke Ben Poole Surya Ganguli	1
+	Deep Residual Learning for Image Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Multi-Stage Multi-Task Feature Learning	2012	Pinghua Gong Jieping Ye Changshui Zhang	1
+	Fast R-CNN	2015	Ross Girshick	1
+	Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials	2012	Philipp Krähenbühl Vladlen Koltun	1
+ PDF Chat	Efficient Video Object Segmentation via Network Modulation	2018	Linjie Yang Yanran Wang Xuehan Xiong Shuicheng Yan Aggelos K. Katsaggelos	1
+ PDF Chat	You Only Look Once: Unified, Real-Time Object Detection	2016	Joseph Redmon Santosh Divvala Ross Girshick Ali Farhadi	1
+ PDF Chat	One-Shot Video Object Segmentation	2017	Sergi Caelles Kevis-Kokitsi Maninis Jordi Pont-Tuset Laura Leal-Taixé Daniel Cremers Luc Van Gool	1
+	Efficient Architecture Search by Network Transformation	2017	Han Cai Tianyao Chen Weinan Zhang Yong Yu Jun Wang	1
+	Lifelong Learning with Dynamically Expandable Networks	2017	Jaehong Yoon Eunho Yang Jeongtae Lee Sung Ju Hwang	1
+	Joint Multi-Leaf Segmentation, Alignment, and Tracking for Fluorescence Plant Videos	2017	Xi Yin Xiaoming Liu Jin Chen David Kramer	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+ PDF Chat	iCaRL: Incremental Classifier and Representation Learning	2017	Sylvestre-Alvise Rebuffi Alexander Kolesnikov Georg Sperl Christoph H. Lampert	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+	SSD: Single Shot MultiBox Detector	2016	Wei Liu Dragomir Anguelov Dumitru Erhan Christian Szegedy Scott Reed Cheng-Yang Fu Alexander C. Berg	1
+ PDF Chat	On the shortest spanning subtree of a graph and the traveling salesman problem	1956	Joseph B. Kruskal	1
+ PDF Chat	Conditional Random Fields as Recurrent Neural Networks	2015	Shuai Zheng Sadeep Jayasumana Bernardino Romera‐Paredes Vibhav Vineet Zhizhong Su Dalong Du Chang Huang Philip H. S. Torr	1