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ORCIDMing Lin
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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- Ming Lin 0001 — WorldEvolved Services, LLC, New York, USA (and 1 more)
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2020 – today
- 2023
[j37]Jiang Zhong, Xuming Jiang, Ming Lin, Huiliang Dai, Fengle Zhu, Xin Qiao, Zhangfeng Zhao, Jiyu Peng
:
Fast quantification of matcha adulterants with laser-induced breakdown spectroscopy spectrum and image. Comput. Electron. Agric. 209: 107813 (2023)- [j36]Ming Lin, Jie Li, Yan-Ni Zeng, Chang Liu, Hongxia Rao:
Set-Membership Filtering for Time-Varying Complex Networks with Randomly Varying Nonlinear Coupling Structure. Circuits Syst. Signal Process. 42(9): 5233-5251 (2023) - [j35]Ming Lin, Yan-Ni Zeng, Hui Chen, Chang Liu, Hong-Xia Rao:
Reliable mixed H2/H∞ distributed estimation for periodic nonlinear systems with jumping topology. J. Frankl. Inst. 360(1): 574-596 (2023) - [j34]Jie Tao, Zehui Xiao, Jiawei Chen, Ming Lin, Renquan Lu, Peng Shi, Xiaofeng Wang:
Event-Triggered Control for Markov Jump Systems Subject to Mismatched Modes and Strict Dissipativity. IEEE Trans. Cybern. 53(3): 1537-1546 (2023) - [j33]Jidong Ge, Yuxiang Liu, Jie Gui, Lanting Fang, Ming Lin, James Tin-Yau Kwok, Liguo Huang, Bin Luo:
Learning the Relation Between Similarity Loss and Clustering Loss in Self-Supervised Learning. IEEE Trans. Image Process. 32: 3442-3454 (2023) - [j32]Yong Xu, Yunsong Deng, Zenghong Huang, Ming Lin, Peng Shi:
Distributed State Estimation Over Sensor Networks With Substate Decomposition Approach. IEEE Trans. Netw. Sci. Eng. 10(1): 527-537 (2023) - [c39]Xuan Shen, Yaohua Wang, Ming Lin, Yilun Huang, Hao Tang, Xiuyu Sun, Yanzhi Wang:
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network. CVPR 2023: 6163-6173 - [c38]Shuning Chang, Pichao Wang, Ming Lin, Fan Wang, David Junhao Zhang, Rong Jin, Mike Zheng Shou:
Making Vision Transformers Efficient from A Token Sparsification View. CVPR 2023: 6195-6205 - [c37]Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming Lin, Chenfanfu Jiang, Chuang Gan:
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. ICLR 2023 - [c36]Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun, Ming Lin, Maurice Pagnucco, Yang Song:
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition. ICLR 2023 - [c35]Yu Shen, Xijun Wang, Peng Gao, Ming Lin:
Auxiliary Modality Learning with Generalized Curriculum Distillation. ICML 2023: 31057-31076 - [c34]Hehuan Shi, Lin Chen, Ming Lin, Rapharl Phan:
Scheduling Dependent Batching Tasks. ICPP 2023: 585-594 - [c33]Divya Kothandaraman, Ming Lin, Dinesh Manocha:
DifFAR: Differentiable Frequency-based Disentanglement for Aerial Video Action Recognition. ICRA 2023: 8254-8261 - [i36]Jidong Ge, Yuxiang Liu, Jie Gui, Lanting Fang, Ming Lin, James Tin-Yau Kwok, LiGuo Huang, Bin Luo:
Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning. CoRR abs/2301.03041 (2023) - [i35]Jing Liang, Sanghyun Son, Ming Lin, Dinesh Manocha:
GeoLCR: Attention-based Geometric Loop Closure and Registration. CoRR abs/2302.13509 (2023) - [i34]Xuan Shen, Yaohua Wang, Ming Lin, Yilun Huang, Hao Tang, Xiuyu Sun, Yanzhi Wang:
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network. CoRR abs/2303.02165 (2023) - [i33]Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun, Ming Lin, Maurice Pagnucco, Yang Song:
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition. CoRR abs/2303.02693 (2023) - [i32]Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming Lin, Chenfanfu Jiang, Chuang Gan:
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. CoRR abs/2303.05512 (2023) - [i31]Shuning Chang, Pichao Wang, Ming Lin, Fan Wang, David Junhao Zhang, Rong Jin, Mike Zheng Shou:
Making Vision Transformers Efficient from A Token Sparsification View. CoRR abs/2303.08685 (2023) - [i30]Divya Kothandaraman, Tianyi Zhou, Ming Lin, Dinesh Manocha:
Aerial Diffusion: Text Guided Ground-to-Aerial View Translation from a Single Image using Diffusion Models. CoRR abs/2303.11444 (2023) - [i29]Guihong Li, Duc Hoang, Kartikeya Bhardwaj, Ming Lin, Zhangyang Wang, Radu Marculescu:
Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities. CoRR abs/2307.01998 (2023) - [i28]Jing Liang, Peng Gao, Xuesu Xiao, Adarsh Jagan Sathyamoorthy, Mohamed Elnoor, Ming Lin, Dinesh Manocha:
MTG: Mapless Trajectory Generator with Traversability Coverage for Outdoor Navigation. CoRR abs/2309.08214 (2023) - 2022
- [j31]Meng Jin, Ming Lin, Yufu Liu, Yuqi Bai:
An earth observation potential evaluation model and its application to SDG indicators. Int. J. Digit. Earth 15(1): 1187-1203 (2022) - [j30]Ming Lin, Meng Jin, Yufu Liu, Yuqi Bai:
Satellite and instrument entity recognition using a pre-trained language model with distant supervision. Int. J. Digit. Earth 15(1): 1290-1304 (2022) - [j29]Hui Chen, Yao Li, Chang Liu, Ming Lin, Hong-Xia Rao:
Reliable state estimation for neural networks with TOD protocol and mixed compensation. Neurocomputing 492: 488-495 (2022) - [j28]Chang Liu, Jie Li, Ming Lin, Yanling Yang, Hong-Xia Rao:
Finite-time synchronisation for periodic delayed master-slave neural networks with weighted try-once-discard protocol. Int. J. Syst. Sci. 53(4): 675-688 (2022) - [j27]Hui Peng, Yu Zhang, Jiawen Lei, Ming Lin:
H∞ asynchronous synchronisation control for Markovian coupled delayed neural networks with missing information. Int. J. Syst. Sci. 53(6): 1260-1273 (2022) - [j26]Lixin Yang, Hong-Xia Rao, Ming Lin, Yong Xu, Peng Shi:
Optimal sensor scheduling for remote state estimation with limited bandwidth: a deep reinforcement learning approach. Inf. Sci. 588: 279-292 (2022) - [j25]Mingfeng Zhan, Ying Fang, Ming Lin:
Comparison of Covariate Balance Weighting Methods in Estimating Treatment Effects. J. Syst. Sci. Complex. 35(6): 2263-2277 (2022) - [j24]Hongying Liang, Suiqing Yu, Man Hao, Weixin Deng, Ming Lin, Zheng Zhang, Chunlong Liu:
Effects of cervicothoracic postures on the stiffness of trapezius muscles. Medical Biol. Eng. Comput. 60(10): 3009-3017 (2022) - [c32]Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Hao Li, Rong Jin:
KVT: k-NN Attention for Boosting Vision Transformers. ECCV (24) 2022: 285-302 - [c31]Yiqi Jiang, Zhiyu Tan, Junyan Wang, Xiuyu Sun, Ming Lin, Hao Li:
GiraffeDet: A Heavy-Neck Paradigm for Object Detection. ICLR 2022 - [c30]Yichen Qian, Xiuyu Sun, Ming Lin, Zhiyu Tan, Rong Jin:
Entroformer: A Transformer-based Entropy Model for Learned Image Compression. ICLR 2022 - [c29]Yaohua Wang, Yaobin Zhang, Fangyi Zhang, Senzhang Wang, Ming Lin, YuQi Zhang, Xiuyu Sun:
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space. ICLR 2022 - [c28]Zhenhong Sun, Ming Lin, Xiuyu Sun, Zhiyu Tan, Hao Li, Rong Jin:
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection. ICML 2022: 20810-20826 - [c27]Zhenhong Sun, Ce Ge, Junyan Wang, Ming Lin, Hesen Chen, Hao Li, Xiuyu Sun:
Entropy-Driven Mixed-Precision Quantization for Deep Network Design. NeurIPS 2022 - [c26]Yaohua Wang, Fangyi Zhang, Ming Lin, Senzhang Wang, Xiuyu Sun, Rong Jin:
Robust Graph Structure Learning via Multiple Statistical Tests. NeurIPS 2022 - [i27]Yaohua Wang, Yaobin Zhang, Fangyi Zhang, Senzhang Wang, Ming Lin, YuQi Zhang, Xiuyu Sun:
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space. CoRR abs/2202.03800 (2022) - [i26]Yiqi Jiang, Zhiyu Tan, Junyan Wang, Xiuyu Sun, Ming Lin, Hao Li:
GiraffeDet: A Heavy-Neck Paradigm for Object Detection. CoRR abs/2202.04256 (2022) - [i25]Yichen Qian, Ming Lin, Xiuyu Sun, Zhiyu Tan, Rong Jin:
Entroformer: A Transformer-based Entropy Model for Learned Image Compression. CoRR abs/2202.05492 (2022) - [i24]Divya Kothandaraman, Tianrui Guan, Xijun Wang, Sean Hu, Ming Lin, Dinesh Manocha:
Fourier Disentangled Space-Time Attention for Aerial Video Recognition. CoRR abs/2203.10694 (2022) - [i23]Divya Kothandaraman, Ming Lin, Dinesh Manocha:
Differentiable Frequency-based Disentanglement for Aerial Video Action Recognition. CoRR abs/2209.09194 (2022) - [i22]Sanghyun Son, Jing Liang, Ming Lin, Dinesh Manocha:
WGICP: Differentiable Weighted GICP-Based Lidar Odometry. CoRR abs/2209.09777 (2022) - [i21]Yaohua Wang, Fangyi Zhang, Ming Lin, Senzhang Wang, Xiuyu Sun, Rong Jin:
Robust Graph Structure Learning over Images via Multiple Statistical Tests. CoRR abs/2210.03956 (2022) - 2021
- [j23]Chang Liu, Yuru Guo, Hong-Xia Rao, Ming Lin, Yong Xu:
Finite-time synchronization for periodic T-S fuzzy master-slave neural networks with distributed delays. J. Frankl. Inst. 358(4): 2367-2381 (2021) - [j22]Baizhen Chen, Chunlong Liu, Ming Lin, Weixin Deng, Zhijie Zhang:
Effects of body postures on the shear modulus of thoracolumbar fascia: a shear wave elastography study. Medical Biol. Eng. Comput. 59(2): 383-390 (2021) - [c25]Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin:
Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition. ICCV 2021: 337-346 - [c24]Yichen Qian, Zhiyu Tan, Xiuyu Sun, Ming Lin, Dongyang Li, Zhenhong Sun, Hao Li, Rong Jin:
Learning Accurate Entropy Model with Global Reference for Image Compression. ICLR 2021 - [e3]Steven M. LaValle, Ming Lin, Timo Ojala, Dylan A. Shell, Jingjin Yu:
Algorithmic Foundations of Robotics XIV, Proceedings of the Fourteenth Workshop on the Algorithmic Foundations of Robotics, WAFR 2021, Oulu, Finland, June 21-23, 2021. Springer Proceedings in Advanced Robotics 17, Springer 2021, ISBN 978-3-030-66722-1 [contents] - [i20]Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin:
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition. CoRR abs/2102.01063 (2021) - [i19]Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Wen Xie, Hao Li, Rong Jin:
KVT: k-NN Attention for Boosting Vision Transformers. CoRR abs/2106.00515 (2021) - [i18]Ya Wang, Hesen Chen, Fangyi Zhang, Yaohua Wang, Xiuyu Sun, Ming Lin, Hao Li:
Fine-Grained AutoAugmentation for Multi-Label Classification. CoRR abs/2107.05384 (2021) - [i17]Zhenhong Sun, Ming Lin, Xiuyu Sun, Zhiyu Tan, Rong Jin:
Revisiting Efficient Object Detection Backbones from Zero-Shot Neural Architecture Search. CoRR abs/2111.13336 (2021) - 2020
- [j21]Ming Lin, Jaewoo Yoon, Byeong-Woo Kim:
Self-Driving Car Location Estimation Based on a Particle-Aided Unscented Kalman Filter. Sensors 20(9): 2544 (2020) - [i16]Yonathan Aflalo, Asaf Noy, Ming Lin, Itamar Friedman, Lihi Zelnik-Manor:
Knapsack Pruning with Inner Distillation. CoRR abs/2002.08258 (2020) - [i15]Ming Lin, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin:
Neural Architecture Design for GPU-Efficient Networks. CoRR abs/2006.14090 (2020) - [i14]Yi Xu, Asaf Noy, Ming Lin, Qi Qian, Hao Li, Rong Jin:
WeMix: How to Better Utilize Data Augmentation. CoRR abs/2010.01267 (2020) - [i13]Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang:
Robust Finite Mixture Regression for Heterogeneous Targets. CoRR abs/2010.05430 (2020) - [i12]Yichen Qian, Zhiyu Tan, Xiuyu Sun, Ming Lin, Dongyang Li, Zhenhong Sun, Hao Li, Rong Jin:
Learning Accurate Entropy Model with Global Reference for Image Compression. CoRR abs/2010.08321 (2020)
2010 – 2019
- 2019
- [j20]Jiaming Lu, Xiao-Song Chen, Xiao Yan, Chen-Feng Li, Ming Lin, Shi-Min Hu:
A Rigging-Skinning Scheme to Control Fluid Simulation. Comput. Graph. Forum 38(7): 501-512 (2019) - [j19]Ming Lin, Pankaj C. Patel:
Distant Search, Technological Diversity, and Branding Focus: Incremental and Radical Innovation in Small- and Medium-Sized Consignees. IEEE Trans. Engineering Management 66(2): 170-179 (2019) - [c23]Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin:
Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee. AAAI 2019: 4312-4319 - [c22]Hesen Chen, Ming Lin, Xiuyu Sun, Qian Qi, Hao Li, Rong Jin:
MuffNet: Multi-Layer Feature Federation for Mobile Deep Learning. ICCV Workshops 2019: 2943-2952 - [c21]Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin:
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. KDD 2019: 2838-2847 - [i11]Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin:
Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee. CoRR abs/1901.11149 (2019) - [i10]Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin:
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. CoRR abs/1906.01095 (2019) - 2018
- [j18]Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang:
Robust finite mixture regression for heterogeneous targets. Data Min. Knowl. Discov. 32(6): 1509-1560 (2018) - [j17]Daqing Chang, Ming Lin, Changshui Zhang:
On the Generalization Ability of Online Gradient Descent Algorithm Under the Quadratic Growth Condition. IEEE Trans. Neural Networks Learn. Syst. 29(10): 5008-5019 (2018) - [c20]Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin:
Margin Based PU Learning. AAAI 2018: 3037-3044 - 2017
- [j16]Xiaojun Chang, Zhigang Ma, Ming Lin, Yi Yang, Alexander G. Hauptmann:
Feature Interaction Augmented Sparse Learning for Fast Kinect Motion Detection. IEEE Trans. Image Process. 26(8): 3911-3920 (2017) - [c19]Xiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek, Jieping Ye, James Thrall, Quanzheng Li:
Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis. MLMI@MICCAI 2017: 212-219 - [i9]Shuang Qiu, Tingjin Luo, Jieping Ye, Ming Lin:
Nonconvex One-bit Single-label Multi-label Learning. CoRR abs/1703.06104 (2017) - [i8]Elizabeth D. Mynatt, Gregory D. Hager, Santosh Kumar, Ming Lin, Shwetak N. Patel, Jack A. Stankovic, Helen V. Wright:
Research Opportunities and Visions for Smart and Pervasive Health. CoRR abs/1706.09372 (2017) - [i7]Xiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek, Jieping Ye, James Thrall, Quanzheng Li:
Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis. CoRR abs/1707.06145 (2017) - 2016
- [j15]Ming Lin, Lijun Zhang, Rong Jin, Shifeng Weng, Changshui Zhang:
Online kernel learning with nearly constant support vectors. Neurocomputing 179: 26-36 (2016) - [c18]Chuang Gan, Ming Lin, Yi Yang, Gerard de Melo, Alexander G. Hauptmann:
Concepts Not Alone: Exploring Pairwise Relationships for Zero-Shot Video Activity Recognition. AAAI 2016: 3487- - [c17]Zhen-Zhong Lan, Shoou-I Yu, Dezhong Yao, Ming Lin, Bhiksha Raj, Alexander G. Hauptmann:
The Best of BothWorlds: Combining Data-Independent and Data-Driven Approaches for Action Recognition. CVPR Workshops 2016: 1196-1205 - [c16]Ming Lin, Jieping Ye:
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing. NIPS 2016: 1633-1641 - [i6]Shoou-I Yu, Yi Yang, Zhongwen Xu, Shicheng Xu, Deyu Meng, Zexi Mao, Zhigang Ma, Ming Lin, Xuanchong Li, Huan Li, Zhen-Zhong Lan, Lu Jiang, Alexander G. Hauptmann, Chuang Gan, Xingzhong Du, Xiaojun Chang:
Strategies for Searching Video Content with Text Queries or Video Examples. CoRR abs/1606.05705 (2016) - [i5]Ming Lin, Jieping Ye:
A Non-convex One-Pass Framework for Generalized Factorization Machines and Rank-One Matrix Sensing. CoRR abs/1608.05995 (2016) - 2015
- [j14]Zheng Pan, Ming Lin, Guangdong Hou, Changshui Zhang:
Damping proximal coordinate descent algorithm for non-convex regularization. Neurocomputing 152: 151-163 (2015) - [j13]Ming Lin, Fei Wang, Changshui Zhang:
Large-scale eigenvector approximation via Hilbert Space Embedding Nyström. Pattern Recognit. 48(5): 1904-1912 (2015) - [j12]Zhen Hu, Ming Lin, Changshui Zhang:
Dependent Online Kernel Learning With Constant Number of Random Fourier Features. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2464-2476 (2015) - [c15]Chuang Gan, Ming Lin, Yi Yang, Yueting Zhuang, Alexander G. Hauptmann:
Exploring Semantic Inter-Class Relationships (SIR) for Zero-Shot Action Recognition. AAAI 2015: 3769-3775 - [c14]Zhen-Zhong Lan, Ming Lin, Xuanchong Li, Alexander G. Hauptmann, Bhiksha Raj:
Beyond Gaussian Pyramid: Multi-skip Feature Stacking for action recognition. CVPR 2015: 204-212 - [c13]Ming Lin, Zhen-Zhong Lan, Alexander G. Hauptmann:
Density Corrected Sparse Recovery when R.I.P. Condition Is Broken. IJCAI 2015: 3664-3670 - [c12]Ming Lin, Shangping Zhong, Lingli Lin:
Chicken Sound Recognition Using Anti-noise Mel Frequency Cepstral Coefficients. RVSP 2015: 224-227 - [c11]Shoou-I Yu, Lu Jiang, Zhongwen Xu, Zhenzhong Lan, Shicheng Xu, Xiaojun Chang, Xuanchong Li, Zexi Mao, Chuang Gan, Yajie Miao, Xingzhong Du, Yang Cai, Lara J. Martin, Nikolas Wolfe, Anurag Kumar, Huan Li, Ming Lin, Zhigang Ma, Yi Yang, Deyu Meng, Shiguang Shan, Pinar Duygulu Sahin, Susanne Burger, Florian Metze, Rita Singh, Bhiksha Raj, Teruko Mitamura, Richard M. Stern, Alexander G. Hauptmann:
CMU Informedia@TRECVID 2015: MED/SIN/LNK/SED. TRECVID 2015 - [i4]Zhen-Zhong Lan, Xuanchong Li, Ming Lin, Alexander G. Hauptmann:
Long-short Term Motion Feature for Action Classification and Retrieval. CoRR abs/1502.04132 (2015) - [i3]Zhen-Zhong Lan, Dezhong Yao, Ming Lin, Shoou-I Yu, Alexander G. Hauptmann:
The Best of Both Worlds: Combining Data-independent and Data-driven Approaches for Action Recognition. CoRR abs/1505.04427 (2015) - [i2]Zhen-Zhong Lan, Shoou-I Yu, Ming Lin, Bhiksha Raj, Alexander G. Hauptmann:
Handcrafted Local Features are Convolutional Neural Networks. CoRR abs/1511.05045 (2015) - 2014
- [j11]Jianfeng Dai, Jinbin Zhao, Keqing Qu, Ming Lin:
A fast hysteresis control strategy based on capacitor charging and discharging. IEICE Electron. Express 11(7): 20140145 (2014) - [c10]Shoou-I Yu, Lu Jiang, Zhongwen Xu, Zhenzhong Lan, Shicheng Xu, Xiaojun Chang, Xuanchong Li, Zexi Mao, Chuang Gan, Yajie Miao, Xingzhong Du, Yang Cai, Lara J. Martin, Nikolas Wolfe, Anurag Kumar, Huan Li, Ming Lin, Zhigang Ma, Yi Yang, Deyu Meng, Shiguang Shan, Pinar Duygulu Sahin, Susanne Burger, Florian Metze, Rita Singh, Bhiksha Raj, Teruko Mitamura, Richard M. Stern, Alexander G. Hauptmann, Anil Armagan, Yicheng Zhao:
Informedia @ TRECVID 2014. TRECVID 2014 - [c9]Ming Lin, Rong Jin, Changshui Zhang:
Efficient Sparse Recovery via Adaptive Non-Convex Regularizers with Oracle Property. UAI 2014: 505-514 - [i1]Zhen-Zhong Lan, Ming Lin, Xuanchong Li, Alexander G. Hauptmann, Bhiksha Raj:
Beyond Gaussian Pyramid: Multi-skip Feature Stacking for Action Recognition. CoRR abs/1411.6660 (2014) - 2013
- [j10]Jinbin Zhao, Yongxiao Liu, Jianfeng Dai, Ming Lin:
An improved hysteretic PWM control with feed-forward and feedback. IEICE Electron. Express 10(10): 20120937 (2013) - [j9]Ming Lin, Shifeng Weng, Changshui Zhang:
On the Sample Complexity of Random Fourier Features for Online Learning: How Many Random Fourier Features Do We Need? ACM Trans. Knowl. Discov. Data 8(3): 13:1-13:19 (2013) - [c8]Weichen Xue, Dong Xing, Ming Lin, Jing Wang, Bin Sheng, Lizhuang Ma:
Depth-of-Field Rendering with Saliency-Based Bilateral Filtering. CAD/Graphics 2013: 399-400 - [c7]Lijun Zhang, Jinfeng Yi, Rong Jin, Ming Lin, Xiaofei He:
Online Kernel Learning with a Near Optimal Sparsity Bound. ICML (3) 2013: 621-629 - 2012
- [j8]Shizhun Yang, Ming Lin, Chenping Hou, Changshui Zhang, Yi Wu:
A general framework for transfer sparse subspace learning. Neural Comput. Appl. 21(7): 1801-1817 (2012) - [j7]Liming Xiu, Kun-Ho Lin, Ming Lin:
The Impact of Input-Mismatch on Flying-Adder Direct Period Synthesizer Output Jitter. IEEE Trans. Circuits Syst. I Regul. Pap. 59-I(9): 1942-1951 (2012) - 2011
- [j6]Liming Xiu, Ming Lin, Hong Jiang:
A Storage-Based Carry Randomization Technique for Spurs Reduction in Flying-Adder Frequency Synthesizer. IEEE Trans. Circuits Syst. II Express Briefs 58-II(6): 326-330 (2011)
2000 – 2009
- 2008
- [j5]Ming Lin, Zhu Zhang:
Question-driven segmentation of lecture speech text: Towards intelligent e-learning systems. J. Assoc. Inf. Sci. Technol. 59(2): 186-200 (2008) - [c6]Lihong Ma, Ming Lin:
Determination of Safety Stock for Power Enterprises Under Uncertainty. ISCSCT (1) 2008: 92-94 - [c5]Avneesh Sud, Erik Andersen, Sean Curtis, Ming Lin, Dinesh Manocha:
Real-time path planning for virtual agents in dynamic environments. SIGGRAPH Classes 2008: 55:1-55:9 - [c4]Avneesh Sud, Russell Gayle, Erik Andersen, Stephen J. Guy, Ming Lin, Dinesh Manocha:
Real-time navigation of independent agents using adaptive roadmaps. SIGGRAPH Classes 2008: 56:1-56:10 - 2007
- [j4]Roger J. Hubbold, Joaquim A. Jorge, Ming Lin:
Foreword to: "Special Issue on virtual environments". Comput. Graph. 31(1): 2-4 (2007) - [j3]Rameen Beroukhim, Ming Lin, Yuhyun Park, Ke Hao, Xiaojun Zhao, Levi A. Garraway, Edward A. Fox, Ephraim P. Hochberg, Ingo K. Mellinghoff, Matthias D. Hofer, Aurelien Descazeaud, Mark A. Rubin, Matthew Meyerson, Wing Hung Wong, William R. Sellers, Cheng Li:
Correction: Inferring Loss-of-Heterozygosity from Unpaired Tumors Using High-Density Oligonucleotide SNP Arrays. PLoS Comput. Biol. 3(2) (2007) - 2006
- [j2]Rameen Beroukhim, Ming Lin, Yuhyun Park, Ke Hao, Xiaojun Zhao, Levi A. Garraway, Edward A. Fox, Ephraim P. Hochberg, Ingo K. Mellinghoff, Matthias D. Hofer, Aurelien Descazeaud, Mark A. Rubin, Matthew Meyerson, Wing Hung Wong, William R. Sellers, Cheng Li:
Inferring Loss-of-Heterozygosity from Unpaired Tumors Using High-Density Oligonucleotide SNP Arrays. PLoS Comput. Biol. 2(5) (2006) - [c3]Quanfu Fan, Kobus Barnard, Arnon Amir, Alon Efrat, Ming Lin:
Matching slides to presentation videos using SIFT and scene background matching. Multimedia Information Retrieval 2006: 239-248 - [e2]Ming Lin, Roger J. Hubbold:
Proceedings of the 12th Eurographics Symposium on Virtual Environments, EGVE 2006, Lisbon, Portugal, 2006. Eurographics Association 2006, ISBN 3-905673-33-9 [contents] - 2005
- [e1]