Mingxi Tan

Mingxi Tan's AcademicInfluence.com Rankings

Mingxi Tan

Computer Science

#9155

World Rank

#9620

Historical Rank

Machine Learning

#3941

World Rank

#3989

Historical Rank

Artificial Intelligence

#4271

World Rank

#4331

Historical Rank

Database

#6141

World Rank

#6368

Historical Rank

computer-science Degrees

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Computer Science

Mingxi Tan's Degrees

Bachelors Computer Science Peking University

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Mingxi Tan's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (2019) (8812)
Searching for MobileNetV3 (2019) (2941)
EfficientDet: Scalable and Efficient Object Detection (2019) (2332)
MnasNet: Platform-Aware Neural Architecture Search for Mobile (2018) (2121)
EfficientNetV2: Smaller Models and Faster Training (2021) (684)
CoAtNet: Marrying Convolution and Attention for All Data Sizes (2021) (475)
Adversarial Examples Improve Image Recognition (2019) (373)
MixConv: Mixed Depthwise Convolutional Kernels (2019) (219)
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models (2020) (192)
Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention (2021) (189)
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization (2019) (131)
Smooth Adversarial Training (2020) (105)
MoViNets: Mobile Video Networks for Efficient Video Recognition (2021) (96)
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures (2019) (84)
Searching for MobileNetV 3 (2019) (80)
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators (2020) (77)
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection (2022) (67)
Combined Scaling for Zero-shot Transfer Learning (2021) (61)
Shape-Texture Debiased Neural Network Training (2020) (53)
Search to Distill: Pearls Are Everywhere but Not the Eyes (2019) (50)
ElasticFlow: A complexity-effective approach for pipelining irregular loop nests (2015) (41)
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions (2022) (37)
Robust and Accurate Object Detection via Adversarial Learning (2021) (34)
Combined Scaling for Open-Vocabulary Image Classiﬁcation (2022) (30)
Flushing-enabled loop pipelining for high-level synthesis (2014) (30)
Bit-level optimization for high-level synthesis and FPGA-based acceleration (2010) (29)
Multithreaded pipeline synthesis for data-parallel kernels (2014) (26)
Architectural Specialization for Inter-Iteration Loop Dependence Patterns (2014) (26)
AutoHAS: Efficient Hyperparameter and Architecture Search. (2020) (25)
PyGlove: Symbolic Programming for Automated Machine Learning (2021) (25)
Searching for Fast Model Families on Datacenter Accelerators (2021) (23)
When Ensembling Smaller Models is More Efficient than Single Large Models (2020) (21)
Area-efficient pipelining for FPGA-targeted high-level synthesis (2015) (19)
Rethinking Co-design of Neural Architectures and Hardware Accelerators (2021) (19)
AutoHAS: Differentiable Hyper-parameter and Architecture Search (2020) (18)
MixNet: Mixed Depthwise Convolutional Kernels. (2019) (18)
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds (2022) (16)
Mapping-Aware Constrained Scheduling for LUT-Based FPGAs (2015) (15)
Occupancy Flow Fields for Motion Forecasting in Autonomous Driving (2022) (14)
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks (2020) (12)
CASA: Correlation-aware speculative adders (2014) (11)
Architecture and Synthesis for Area-Efficient Pipelining of Irregular Loop Nests (2017) (10)
Energy-efficient branch prediction with Compiler-guided History Stack (2012) (6)
CVP: an energy-efficient indirect branch prediction with compiler-guided value pattern (2012) (6)
Towards the Co-design of Neural Networks and Accelerators (2022) (5)
Efficient Scale-Permuted Backbone with Learned Resource Distribution (2020) (3)
Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour (2020) (3)
PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds (2022) (2)
An Energy-Efficient Branch Prediction with Grouped Global History (2015) (2)
Hyperscale Hardware Optimized Neural Architecture Search (2023) (1)
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds (2022) (1)
Revisiting Multi-Scale Feature Fusion for Semantic Segmentation (2022) (1)
LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations (2022) (0)
Compiler-Guided History Stack (2012) (0)
WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting (2023) (0)
Regularized Contrastive Learning of Semantic Search (2022) (0)
Appendix of PyGlove (2020) (0)
A UTO HAS : E FFICIENT H YPERPARAMETER AND A R-CHITECTURE S EARCH (2020) (0)
Bit-Level Transformation and Optimization for Hardware Synthesis of Algorithmic Descriptions (2009) (0)
83% ImageNet Accuracy in One Hour (2020) (0)
XLOOPS : Explicit Loop Specialization (2014) (0)

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Mingxi Tan's Academic­Influence.com Rankings

Mingxi Tan's Degrees

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Why Is Mingxi Tan Influential?

Mingxi Tan's Published Works

Published Works

Mingxi Tan's AcademicInfluence.com Rankings