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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
- 2024
[j38]Ming Lin, Jimei Gao:
Application of MOOC Data Based on Autonomous Intelligent Robot System in Students' Learning Behavior. Informatica (Slovenia) 48(13) (2024)- [j37]Guihong Li, Duc Hoang, Kartikeya Bhardwaj, Ming Lin, Zhangyang Wang, Radu Marculescu:
Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7618-7635 (2024) - [c30]Xuan Shen, Peiyan Dong, Lei Lu, Zhenglun Kong, Zhengang Li, Ming Lin, Chao Wu, Yanzhi Wang:
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge. AAAI 2024: 18944-18951 - [i29]Youpeng Zhao
, Ming Lin, Huadong Tang, Qiang Wu, Jun Wang:
Merino: Entropy-driven Design for Generative Language Models on IoT Devices. CoRR abs/2403.07921 (2024) - [i28]Xuan Shen, Pu Zhao, Yifan Gong, Zhenglun Kong, Zheng Zhan, Yushu Wu, Ming Lin, Chao Wu, Xue Lin, Yanzhi Wang:
Search for Efficient Large Language Models. CoRR abs/2409.17372 (2024) - 2023
- [j36]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) - [j35]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) - [j34]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) - [j33]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) - [j32]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) - [j31]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) - [c29]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 - [c28]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 - [c27]Hehuan Shi, Lin Chen, Ming Lin, Raphael C.-W. Phan:
Scheduling Dependent Batching Tasks. ICPP 2023: 585-594 - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]Xuan Shen, Peiyan Dong, Lei Lu, Zhenglun Kong, Zhengang Li, Ming Lin, Chao Wu, Yanzhi Wang:
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge. CoRR abs/2312.05693 (2023) - 2022
- [j30]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) - [j29]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) - [j28]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) - [j27]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) - [j26]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) - [j25]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) - [j24]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) - [j23]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) - [c26]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 - [c25]Yichen Qian, Xiuyu Sun, Ming Lin, Zhiyu Tan, Rong Jin:
Entroformer: A Transformer-based Entropy Model for Learned Image Compression. ICLR 2022 - [c24]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 - [c23]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 - [c22]Yaohua Wang, Fangyi Zhang, Ming Lin, Senzhang Wang, Xiuyu Sun, Rong Jin:
Robust Graph Structure Learning via Multiple Statistical Tests. NeurIPS 2022 - [i22]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) - [i21]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) - [i20]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
- [j22]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) - [j21]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) - [c21]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 - [c20]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] - [i19]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) - [i18]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) - [i17]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) - [i16]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
- [j20]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) - [i15]Yonathan Aflalo, Asaf Noy, Ming Lin, Itamar Friedman, Lihi Zelnik-Manor:
Knapsack Pruning with Inner Distillation. CoRR abs/2002.08258 (2020) - [i14]Ming Lin, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin:
Neural Architecture Design for GPU-Efficient Networks. CoRR abs/2006.14090 (2020) - [i13]Yi Xu, Asaf Noy, Ming Lin, Qi Qian, Hao Li, Rong Jin:
WeMix: How to Better Utilize Data Augmentation. CoRR abs/2010.01267 (2020) - [i12]Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang:
Robust Finite Mixture Regression for Heterogeneous Targets. CoRR abs/2010.05430 (2020) - [i11]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
- [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) - [c19]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 - [c18]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 - [c17]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 - [i10]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) - [i9]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) - [c16]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) - [c15]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 - [i8]Shuang Qiu, Tingjin Luo, Jieping Ye, Ming Lin:
Nonconvex One-bit Single-label Multi-label Learning. CoRR abs/1703.06104 (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) - [c14]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 - [c13]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) - [c12]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 - [c11]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 - [c10]Ming Lin, Zhen-Zhong Lan, Alexander G. Hauptmann:
Density Corrected Sparse Recovery when R.I.P. Condition Is Broken. IJCAI 2015: 3664-3670 - [c9]Ming Lin, Shangping Zhong, Lingli Lin:
Chicken Sound Recognition Using Anti-noise Mel Frequency Cepstral Coefficients. RVSP 2015: 224-227 - [c8]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) - [c7]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 - [c6]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) - [c5]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 - [c4]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) - [c3]Lihong Ma, Ming Lin:
Determination of Safety Stock for Power Enterprises Under Uncertainty. ISCSCT (1) 2008: 92-94 - 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) - [c2]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]Ming Lin, Céline Loscos:
26th Annual Conference of the European Association for Computer Graphics, Eurographics 2005 - Tutorials, Dublin, Ireland, August 29 - September 2, 2005. Eurographics Association 2005 [contents] - 2004
- [j1]Ming Lin, Lee-Jen Wei, William R. Sellers, Marshall Lieberfarb, Wing Hung Wong, Cheng Li:
dChipSNP: significance curve and clustering of SNP-array-based loss-of-heterozygosity data. Bioinform. 20(8): 1233-1240 (2004) - [c1]Ming Lin, Jihong Zhu, Zengqi Sun:
Learning Obstacle Avoidance Behavior Using Multi-agent Learning with Fuzzy States. AIMSA 2004: 389-398
Coauthor Index
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