Mingxing Tan - RankMe

102 papers A* 31A 11B 1Journal 51Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Drive&Gen: Co-Evaluating End-to-End Driving and Video Generation Models. IROS Jiahao Wang, Zhenpei Yang, Yijing Bai, Yingwei Li, Yuliang Zou, Bo Sun, Abhijit Kundu, José Lezama, Luna Yue Huang, Zehao Zhu, Jyh-Jing Hwang, Dragomir Anguelov, Mingxing Tan, Chiyu Max Jiang
2025	J	`jnl`	Drive&Gen: Co-Evaluating End-to-End Driving and Video Generation Models. CoRR Jiahao Wang, Zhenpei Yang, Yijing Bai, Yingwei Li, Yuliang Zou, Bo Sun, Abhijit Kundu, José Lezama, Luna Yue Huang, Zehao Zhu, Jyh-Jing Hwang, Dragomir Anguelov, Mingxing Tan, Chiyu Max Jiang
2025	J	`jnl`	EMMA: End-to-End Multimodal Model for Autonomous Driving. Trans. Mach. Learn. Res. Jyh-Jing Hwang, Runsheng Xu, Hubert Lin, Wei-Chih Hung, Jingwei Ji, Kristy Choi, Di Huang, Tong He, Paul Covington, Benjamin Sapp, Yin Zhou, James Guo, Dragomir Anguelov, Mingxing Tan
2025	A	`conf`	Enhanced Motion Forecasting with Plug-and-Play Multimodal Large Language Models. IROS Katie Luo, Jingwei Ji, Tong He, Runsheng Xu, Yichen Xie, Dragomir Anguelov, Mingxing Tan
2025	J	`jnl`	Enhanced Motion Forecasting with Plug-and-Play Multimodal Large Language Models. CoRR Katie Luo, Jingwei Ji, Tong He, Runsheng Xu, Yichen Xie, Dragomir Anguelov, Mingxing Tan
2025	A*	`conf`	S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation. CVPR Yichen Xie, Runsheng Xu, Tong He, Jyh-Jing Hwang, Katie Luo, Jingwei Ji, Hubert Lin, Letian Chen, Yiren Lu, Zhaoqi Leng, Dragomir Anguelov, Mingxing Tan
2025	J	`jnl`	S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation. CoRR Yichen Xie, Runsheng Xu, Tong He, Jyh-Jing Hwang, Katie Luo, Jingwei Ji, Hubert Lin, Letian Chen, Yiren Lu, Zhaoqi Leng, Dragomir Anguelov, Mingxing Tan
2025	A*	`conf`	SceneCrafter: Controllable Multi-View Driving Scene Editing. CVPR Zehao Zhu, Yuliang Zou, Chiyu Max Jiang, Bo Sun, Vincent Casser, Xiukun Huang, Jiahao Wang, Zhenpei Yang, Ruiqi Gao, Leonidas J. Guibas, Mingxing Tan, Dragomir Anguelov
2025	J	`jnl`	SceneCrafter: Controllable Multi-View Driving Scene Editing. CoRR Zehao Zhu, Yuliang Zou, Chiyu Max Jiang, Bo Sun, Vincent Casser, Xiukun Huang, Jiahao Wang, Zhenpei Yang, Ruiqi Gao, Leonidas J. Guibas, Mingxing Tan, Dragomir Anguelov
2025	A*	`conf`	SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model. CVPR Shuhan Tan, John Lambert, Hong Jeon, Sakshum Kulshrestha, Yijing Bai, Jing Luo, Dragomir Anguelov, Mingxing Tan, Chiyu Max Jiang
2025	J	`jnl`	SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model. CoRR Shuhan Tan, John Lambert, Hong Jeon, Sakshum Kulshrestha, Yijing Bai, Jing Luo, Dragomir Anguelov, Mingxing Tan, Chiyu Max Jiang
2025	J	`jnl`	WOD-E2E: Waymo Open Dataset for End-to-End Driving in Challenging Long-tail Scenarios. CoRR Runsheng Xu, Hubert Lin, Wonseok Jeon, Hao Feng, Yuliang Zou, Liting Sun, John Gorman, Kate Tolstaya, Sarah Tang, Brandyn White, Ben Sapp, Mingxing Tan, Jyh-Jing Hwang, Dragomir Anguelov
2024	J	`jnl`	EMMA: End-to-End Multimodal Model for Autonomous Driving. CoRR Jyh-Jing Hwang, Runsheng Xu, Hubert Lin, Wei-Chih Hung, Jingwei Ji, Kristy Choi, Di Huang, Tong He, Paul Covington, Benjamin Sapp, James Guo, Dragomir Anguelov, Mingxing Tan
2024	A*	`conf`	PVTransformer: Point-to-Voxel Transformer for Scalable 3D Object Detection. ICRA Zhaoqi Leng, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan
2024	J	`jnl`	PVTransformer: Point-to-Voxel Transformer for Scalable 3D Object Detection. CoRR Zhaoqi Leng, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan
2024	A*	`conf`	STT: Stateful Tracking with Transformers for Autonomous Driving. ICRA Longlong Jing, Ruichi Yu, Xu Chen, Zhengli Zhao, Shiwei Sheng, Colin Graber, Qi Chen, Qinru Li, Shangxuan Wu, Han Deng, Sangjin Lee, Chris Sweeney, Qiurui He, Wei-Chih Hung, Tong He, Xingyi Zhou, Farshid Moussavi, James Guo, Yin Zhou, Mingxing Tan, Weilong Yang, Congcong Li
2024	J	`jnl`	STT: Stateful Tracking with Transformers for Autonomous Driving. CoRR Longlong Jing, Ruichi Yu, Xu Chen, Zhengli Zhao, Shiwei Sheng, Colin Graber, Qi Chen, Qinru Li, Shangxuan Wu, Han Deng, Sangjin Lee, Chris Sweeney, Qiurui He, Wei-Chih Hung, Tong He, Xingyi Zhou, Farshid Moussavi, Zijian Guo, Yin Zhou, Mingxing Tan, Weilong Yang, Congcong Li
2024	A*	`conf`	SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout. NeurIPS Chiyu Max Jiang, Yijing Bai, Andre Cornman, Christopher Davis, Xiukun Huang, Hong Jeon, Sakshum Kulshrestha, John Lambert, Shuangyu Li, Xuanyu Zhou, Carlos Fuertes, Chang Yuan, Mingxing Tan, Yin Zhou, Dragomir Anguelov
2024	J	`jnl`	SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout. CoRR Chiyu Max Jiang, Yijing Bai, Andre Cornman, Christopher Davis, Xiukun Huang, Hong Jeon, Sakshum Kulshrestha, John Lambert, Shuangyu Li, Xuanyu Zhou, Carlos Fuertes, Chang Yuan, Mingxing Tan, Yin Zhou, Dragomir Anguelov
2024	A*	`conf`	WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting. ICRA Kan Chen, Runzhou Ge, Hang Qiu, Rami Ai-Rfou, Charles R. Qi, Xuanyu Zhou, Zoey Yang, Scott Ettinger, Pei Sun, Zhaoqi Leng, Mustafa Baniodeh, Ivan Bogun, Weiyue Wang, Mingxing Tan, Dragomir Anguelov
2023	J	`jnl`	Combined scaling for zero-shot transfer learning. Neurocomputing Hieu Pham, Zihang Dai, Golnaz Ghiasi, Kenji Kawaguchi, Hanxiao Liu, Adams Wei Yu, Jiahui Yu, Yi-Ting Chen, Minh-Thang Luong, Yonghui Wu, Mingxing Tan, Quoc V. Le
2023	—	`conf`	Hyperscale Hardware Optimized Neural Architecture Search. ASPLOS (3) Sheng Li, Garrett Andersen, Tao Chen, Liqun Cheng, Julian Grady, Da Huang, Quoc V. Le, Andrew Li, Xin Li, Yang Li, Chen Liang, Yifeng Lu, Yun Ni, Ruoming Pang, Mingxing Tan, Martin Wicke, Gang Wu, Shengqi Zhu, Parthasarathy Ranganathan, Norman P. Jouppi
2023	A	`conf`	LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection. IROS Tong He, Pei Sun, Zhaoqi Leng, Chenxi Liu, Dragomir Anguelov, Mingxing Tan
2023	J	`jnl`	LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection. CoRR Tong He, Pei Sun, Zhaoqi Leng, Chenxi Liu, Dragomir Anguelov, Mingxing Tan
2023	A*	`conf`	Lidar Augment: Searching for Scalable 3D LiDAR Data Augmentations. ICRA Zhaoqi Leng, Guowang Li, Chenxi Liu, Ekin Dogus Cubuk, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan
2023	J	`jnl`	WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting. CoRR Kan Chen, Runzhou Ge, Hang Qiu, Rami Ai-Rfou, Charles R. Qi, Xuanyu Zhou, Zoey Yang, Scott Ettinger, Pei Sun, Zhaoqi Leng, Mustafa Baniodeh, Ivan Bogun, Weiyue Wang, Mingxing Tan, Dragomir Anguelov
2022	A*	`conf`	DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. CVPR Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan
2022	J	`jnl`	DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. CoRR Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Bo Wu, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan
2022	J	`jnl`	LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations. CoRR Zhaoqi Leng, Guowang Li, Chenxi Liu, Ekin Dogus Cubuk, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan
2022	—	`conf`	LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds. ECCV (21) Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov
2022	J	`jnl`	LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds. CoRR Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov
2022	J	`jnl`	Occupancy Flow Fields for Motion Forecasting in Autonomous Driving. CoRR Reza Mahjourian, Jinkyu Kim, Yuning Chai, Mingxing Tan, Benjamin Sapp, Dragomir Anguelov
2022	J	`jnl`	Occupancy Flow Fields for Motion Forecasting in Autonomous Driving. IEEE Robotics Autom. Lett. Reza Mahjourian, Jinkyu Kim, Yuning Chai, Mingxing Tan, Ben Sapp, Dragomir Anguelov
2022	A*	`conf`	PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions. ICLR Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Jay Shi, Shuyang Cheng, Dragomir Anguelov
2022	J	`jnl`	PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions. CoRR Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Xiaojie Shi, Shuyang Cheng, Dragomir Anguelov
2022	—	`conf`	PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds. ECCV (31) Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov
2022	J	`jnl`	PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds. CoRR Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov
2022	J	`jnl`	Revisiting Multi-Scale Feature Fusion for Semantic Segmentation. CoRR Tianjian Meng, Golnaz Ghiasi, Reza Mahjourian, Quoc V. Le, Mingxing Tan
2022	—	`conf`	SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds. ECCV (10) Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, Dragomir Anguelov
2022	J	`jnl`	SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds. CoRR Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, Dragomir Anguelov
2022	—	`conf`	Towards the Co-design of Neural Networks and Accelerators. MLSys Yanqi Zhou, Xuanyi Dong, Tianjian Meng, Mingxing Tan, Berkin Akin, Daiyi Peng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon
2021	A*	`conf`	CoAtNet: Marrying Convolution and Attention for All Data Sizes. NeurIPS Zihang Dai, Hanxiao Liu, Quoc V. Le, Mingxing Tan
2021	J	`jnl`	CoAtNet: Marrying Convolution and Attention for All Data Sizes. CoRR Zihang Dai, Hanxiao Liu, Quoc V. Le, Mingxing Tan
2021	J	`jnl`	Combined Scaling for Zero-shot Transfer Learning. CoRR Hieu Pham, Zihang Dai, Golnaz Ghiasi, Hanxiao Liu, Adams Wei Yu, Minh-Thang Luong, Mingxing Tan, Quoc V. Le
2021	A*	`conf`	EfficientNetV2: Smaller Models and Faster Training. ICML Mingxing Tan, Quoc V. Le
2021	J	`jnl`	EfficientNetV2: Smaller Models and Faster Training. CoRR Mingxing Tan, Quoc V. Le
2021	A*	`conf`	MoViNets: Mobile Video Networks for Efficient Video Recognition. CVPR Dan Kondratyuk, Liangzhe Yuan, Yandong Li, Li Zhang, Mingxing Tan, Matthew Brown, Boqing Gong
2021	J	`jnl`	MoViNets: Mobile Video Networks for Efficient Video Recognition. CoRR Dan Kondratyuk, Liangzhe Yuan, Yandong Li, Li Zhang, Mingxing Tan, Matthew Brown, Boqing Gong
2021	A*	`conf`	MobileDets: Searching for Object Detection Architectures for Mobile Accelerators. CVPR Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Yongzhe Wang, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen
2021	J	`jnl`	Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention. CoRR Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh
2021	A*	`conf`	Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention. AAAI Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh
2021	J	`jnl`	PyGlove: Symbolic Programming for Automated Machine Learning. CoRR Daiyi Peng, Xuanyi Dong, Esteban Real, Mingxing Tan, Yifeng Lu, Hanxiao Liu, Gabriel Bender, Adam Kraft, Chen Liang, Quoc V. Le
2021	J	`jnl`	Rethinking Co-design of Neural Architectures and Hardware Accelerators. CoRR Yanqi Zhou, Xuanyi Dong, Berkin Akin, Mingxing Tan, Daiyi Peng, Tianjian Meng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon
2021	A*	`conf`	Robust and Accurate Object Detection via Adversarial Learning. CVPR Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong
2021	J	`jnl`	Robust and Accurate Object Detection via Adversarial Learning. CoRR Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong
2021	A*	`conf`	Searching for Fast Model Families on Datacenter Accelerators. CVPR Sheng Li, Mingxing Tan, Ruoming Pang, Andrew Li, Liqun Cheng, Quoc V. Le, Norman P. Jouppi
2021	J	`jnl`	Searching for Fast Model Families on Datacenter Accelerators. CoRR Sheng Li, Mingxing Tan, Ruoming Pang, Andrew Li, Liqun Cheng, Quoc V. Le, Norman P. Jouppi
2021	A*	`conf`	Shape-Texture Debiased Neural Network Training. ICLR Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie
2021	—	`conf`	Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour. IPDPS Workshops Arissa Wongpanich, Hieu Pham, James Demmel, Mingxing Tan, Quoc V. Le, Yang You, Sameer Kumar
2020	A*	`conf`	Adversarial Examples Improve Image Recognition. CVPR Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, Quoc V. Le
2020	A*	`conf`	AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures. ICLR Michael S. Ryoo, A. J. Piergiovanni, Mingxing Tan, Anelia Angelova
2020	J	`jnl`	AutoHAS: Differentiable Hyper-parameter and Architecture Search. CoRR Xuanyi Dong, Mingxing Tan, Adams Wei Yu, Daiyi Peng, Bogdan Gabrys, Quoc V. Le
2020	J	`jnl`	BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models. CoRR Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas S. Huang, Xiaodan Song, Ruoming Pang, Quoc V. Le
2020	—	`conf`	BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models. ECCV (7) Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas S. Huang, Xiaodan Song, Ruoming Pang, Quoc Le
2020	—	`conf`	Efficient Scale-Permuted Backbone with Learned Resource Distribution. ECCV (23) Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui, Mingxing Tan, Quoc V. Le, Xiaodan Song
2020	J	`jnl`	Efficient Scale-Permuted Backbone with Learned Resource Distribution. CoRR Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui, Mingxing Tan, Quoc V. Le, Xiaodan Song
2020	A*	`conf`	EfficientDet: Scalable and Efficient Object Detection. CVPR Mingxing Tan, Ruoming Pang, Quoc V. Le
2020	A*	`conf`	Go Wide, Then Narrow: Efficient Training of Deep Thin Networks. ICML Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc V. Le, Qiang Liu, Dale Schuurmans
2020	J	`jnl`	Go Wide, Then Narrow: Efficient Training of Deep Thin Networks. CoRR Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc V. Le, Qiang Liu, Dale Schuurmans
2020	J	`jnl`	MobileDets: Searching for Object Detection Architectures for Mobile Accelerators. CoRR Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen
2020	A*	`conf`	PyGlove: Symbolic Programming for Automated Machine Learning. NeurIPS Daiyi Peng, Xuanyi Dong, Esteban Real, Mingxing Tan, Yifeng Lu, Gabriel Bender, Hanxiao Liu, Adam Kraft, Chen Liang, Quoc Le
2020	A*	`conf`	Search to Distill: Pearls Are Everywhere but Not the Eyes. CVPR Yu Liu, Xuhui Jia, Mingxing Tan, Raviteja Vemulapalli, Yukun Zhu, Bradley Green, Xiaogang Wang
2020	J	`jnl`	Shape-Texture Debiased Neural Network Training. CoRR Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie
2020	J	`jnl`	Smooth Adversarial Training. CoRR Cihang Xie, Mingxing Tan, Boqing Gong, Alan L. Yuille, Quoc V. Le
2020	A*	`conf`	SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. CVPR Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song
2020	J	`jnl`	Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour. CoRR Arissa Wongpanich, Hieu Pham, James Demmel, Mingxing Tan, Quoc V. Le, Yang You, Sameer Kumar
2020	J	`jnl`	When Ensembling Smaller Models is More Efficient than Single Large Models. CoRR Dan Kondratyuk, Mingxing Tan, Matthew Brown, Boqing Gong
2019	J	`jnl`	Adversarial Examples Improve Image Recognition. CoRR Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, Quoc V. Le
2019	J	`jnl`	AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures. CoRR Michael S. Ryoo, A. J. Piergiovanni, Mingxing Tan, Anelia Angelova
2019	J	`jnl`	EfficientDet: Scalable and Efficient Object Detection. CoRR Mingxing Tan, Ruoming Pang, Quoc V. Le
2019	A*	`conf`	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. ICML Mingxing Tan, Quoc V. Le
2019	J	`jnl`	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. CoRR Mingxing Tan, Quoc V. Le
2019	A	`conf`	MixConv: Mixed Depthwise Convolutional Kernels. BMVC Mingxing Tan, Quoc V. Le
2019	J	`jnl`	MixConv: Mixed Depthwise Convolutional Kernels. CoRR Mingxing Tan, Quoc V. Le
2019	A*	`conf`	MnasNet: Platform-Aware Neural Architecture Search for Mobile. CVPR Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler, Andrew Howard, Quoc V. Le
2019	J	`jnl`	Search to Distill: Pearls are Everywhere but not the Eyes. CoRR Yu Liu, Xuhui Jia, Mingxing Tan, Raviteja Vemulapalli, Yukun Zhu, Bradley Green, Xiaogang Wang
2019	A*	`conf`	Searching for MobileNetV3. ICCV Andrew Howard, Ruoming Pang, Hartwig Adam, Quoc V. Le, Mark Sandler, Bo Chen, Weijun Wang, Liang-Chieh Chen, Mingxing Tan, Grace Chu, Vijay Vasudevan, Yukun Zhu
2019	J	`jnl`	Searching for MobileNetV3. CoRR Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, Quoc V. Le, Hartwig Adam
2019	J	`jnl`	SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. CoRR Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song
2018	J	`jnl`	MnasNet: Platform-Aware Neural Architecture Search for Mobile. CoRR Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Quoc V. Le
2017	J	`jnl`	Architecture and Synthesis for Area-Efficient Pipelining of Irregular Loop Nests. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Gai Liu, Mingxing Tan, Steve Dai, Ritchie Zhao, Zhiru Zhang
2015	B	`conf`	An Energy-Efficient Branch Prediction with Grouped Global History. ICPP Mingkai Huang, Dan He, Xianhua Liu, Mingxing Tan, Xu Cheng
2015	A*	`conf`	Area-efficient pipelining for FPGA-targeted high-level synthesis. DAC Ritchie Zhao, Mingxing Tan, Steve Dai, Zhiru Zhang
2015	A	`conf`	ElasticFlow: A Complexity-Effective Approach for Pipelining Irregular Loop Nests. ICCAD Mingxing Tan, Gai Liu, Ritchie Zhao, Steve Dai, Zhiru Zhang
2015	A	`conf`	Mapping-Aware Constrained Scheduling for LUT-Based FPGAs. FPGA Mingxing Tan, Steve Dai, Udit Gupta, Zhiru Zhang
2014	A*	`conf`	Architectural Specialization for Inter-Iteration Loop Dependence Patterns. MICRO Shreesha Srinath, Berkin Ilbeyi, Mingxing Tan, Gai Liu, Zhiru Zhang, Christopher Batten
2014	A	`conf`	CASA: correlation-aware speculative adders. ISLPED Gai Liu, Ye Tao, Mingxing Tan, Zhiru Zhang
2014	A*	`conf`	Flushing-Enabled Loop Pipelining for High-Level Synthesis. DAC Steve Dai, Mingxing Tan, Kecheng Hao, Zhiru Zhang
2014	A	`conf`	Multithreaded pipeline synthesis for data-parallel kernels. ICCAD Mingxing Tan, Bin Liu, Steve Dai, Zhiru Zhang
2012	A	`conf`	CVP: an energy-efficient indirect branch prediction with compiler-guided value pattern. ICS Mingxing Tan, Xianhua Liu, Tong Tong, Xu Cheng
2012	A	`conf`	Energy-efficient branch prediction with Compiler-guided History Stack. DATE Mingxing Tan, Xianhua Liu, Zichao Xie, Dong Tong, Xu Cheng
2010	A	`conf`	Bit-level optimization for high-level synthesis and FPGA-based acceleration. FPGA Jiyu Zhang, Zhiru Zhang, Sheng Zhou, Mingxing Tan, Xianhua Liu, Xu Cheng, Jason Cong