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ORCIDMing Tan
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. 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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2020 – today
- 2023
[j40]Geng Chen
, Chunyang Wang, Jian Gong, Ming Tan, Yibin Liu:
DCFDA-MIMO: A dual coprime FDA-MIMO radar framework for target localization. Digit. Signal Process. 133: 103811 (2023)- [j39]Mingjie Liu, Chunyang Wang, Jian Gong, Ming Tan, Lei Bao, Changlin Zhou:
Joint optimization of FDA-MIMO antenna selection and frequency offset to maximize SINR. Digit. Signal Process. 138: 104055 (2023) - [j38]Mohammad Ali Raayatpanah, Thomas Weise, Jinsong Wu, Ming Tan, Panos M. Pardalos:
Robust optimization for minimizing energy consumption of multicast transmissions in coded wireless packet networks under distance uncertainty. J. Comb. Optim. 46(1): 4 (2023) - [j37]Geng Chen, Chunyang Wang, Jian Gong, Ming Tan, Yibin Liu:
Data-Independent Phase-Only Beamforming of FDA-MIMO Radar for Swarm Interference Suppression. Remote. Sens. 15(4): 1159 (2023) - [j36]Xiaofeng Wang, Menglei Kang, Yan Chen, Wenxiang Jiang, Mengyuan Wang, Thomas Weise, Ming Tan, Lixiang Xu, Xinlu Li, Le Zou, Chen Zhang:
Adaptive Local Cross-Channel Vector Pooling Attention Module for Semantic Segmentation of Remote Sensing Imagery. Remote. Sens. 15(8): 1980 (2023) - [j35]Yanjie Xu, Chunyang Wang, Guimei Zheng, Ming Tan:
Nonlinear Frequency Offset Beam Design for FDA-MIMO Radar. Sensors 23(3): 1476 (2023) - [j34]Changlin Zhou, Chunyang Wang, Jian Gong, Ming Tan, Lei Bao, Mingjie Liu:
Ambiguity Function Evaluation and Optimization of the Transmitting Beamspace-Based FDA Radar. Signal Process. 203: 108810 (2023) - [c50]Jingfan Zhang, Ming Tan, Pengyu Dai, Wei Zhu:
LECO: Improving Early Exiting via Learned Exits and Comparison-based Exiting Mechanism. ACL (student) 2023: 298-309 - [c49]Xinpeng Zhang, Ming Tan, Jingfan Zhang, Wei Zhu:
NAG-NER: a Unified Non-Autoregressive Generation Framework for Various NER Tasks. ACL (industry) 2023: 676-686 - [c48]Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Parminder Bhatia, Xiaofei Ma, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang:
Exploring Continual Learning for Code Generation Models. ACL (2) 2023: 782-792 - [c47]Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang:
ContraCLM: Contrastive Learning For Causal Language Model. ACL (1) 2023: 6436-6459 - [c46]Yuming Zhang, Peng Wang, Ming Tan, Wei Zhu:
Learned Adapters Are Better Than Manually Designed Adapters. ACL (Findings) 2023: 7420-7437 - [c45]Robert Giaquinto, Dejiao Zhang, Benjamin Kleiner, Yang Li, Ming Tan, Parminder Bhatia, Ramesh Nallapati, Xiaofei Ma:
Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation. ACL (1) 2023: 11067-11083 - [c44]Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Ming Cheng, Haoyu Ma, Qiufang Ma, Xiaopeng Sun, Shijie Zhao, Xuhan Sheng, Yukang Ding, Ming Sun, Xing Wen, Dafeng Zhang, Jia Li, Fan Wang, Zheng Xie, Zongyao He, Zidian Qiu, Zilin Pan, Zhihao Zhan, Xingyuan Xian, Zhi Jin, Yuanbo Zhou, Wei Deng, Ruofeng Nie, Jiajun Zhang, Qinquan Gao, Tong Tong, Kexin Zhang, Junpei Zhang, Rui Peng, Yanbiao Ma, Licheng Jiao, Haoran Bai, Lingshun Kong, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Pu Cao, Tianrui Huang, Lu Yang, Qing Song, Bingxin Chen, Chunhua He, Meiyun Chen, Zijie Guo, Shaojuan Luo, Chengzhi Cao, Kunyu Wang, Fanrui Zhang, Qiang Zhang, Nancy Mehta, Subrahmanyam Murala, Akshay Dudhane, Yujin Wang, Lingen Li, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Junyang Chen, Hao Li, Yukai Shi, Zhijing Yang, Wenbin Zou, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan, Hongxia Gao, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Jingxiang Chen, Bo Yang, XiSheryl Zhang, Chenghua Li, Weijun Yuan, Zhan Li, Ruting Deng, Jintao Zeng, Pulkit Mahajan, Sahaj Mistry, Shreyas Chatterjee, Vinit Jakhetiya, Badri N. Subudhi, Sunil Prasad Jaiswal, Zhao Zhang, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Bo Wang, Gen Li, Aijin Li, Lei Sun, Ke Chen, Congling Tang, Yunzhe Li, Jun Chen, Yuan-Chun Chiang, Yi-Chung Chen, Zhi-Kai Huang, Hao-Hsiang Yang, I-Hsiang Chen, Sy-Yen Kuo, Yiheng Wang, Gang Zhu, Xingyi Yang, Songhua Liu, Yongcheng Jing, Xingyu Hu, Jianwen Song, Changming Sun, Arcot Sowmya, Seung Ho Park, Xiaoyan Lei, Jingchao Wang, Chenbo Zhai, Yufei Zhang, Weifeng Cao, Wenlong Zhang:
NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 2023: 1346-1372 - [c43]Wenbin Zou, Hongxia Gao, Liang Chen, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan:
Cross-View Hierarchy Network for Stereo Image Super-Resolution. CVPR Workshops 2023: 1396-1405 - [c42]Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati:
Multi-lingual Evaluation of Code Generation Models. ICLR 2023 - [c41]Abdulrahman Salama, Mahmoud Elkamhawy, Mohamed Ali, Eyhab Al-Masri, Adel Sabour, Abdeltawab M. Hendawi, Ming Tan, Vashutosh Agrawal, Ravi Prakash:
A Computer Vision Approach for Detecting Discrepancies in Map Textual Labels. SSDBM 2023: 12:1-12:9 - [i16]Zhize Wu, Changjiang Du, Le Zou, Ming Tan, Tong Xu, Fan Cheng, Fudong Nian, Thomas Weise:
DAFD: Domain Adaptation via Feature Disentanglement for Image Classification. CoRR abs/2301.13337 (2023) - [i15]Wenbin Zou, Hongxia Gao, Liang Chen, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan:
Cross-View Hierarchy Network for Stereo Image Super-Resolution. CoRR abs/2304.06236 (2023) - [i14]Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Xiaofei Ma, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang:
Exploring Continual Learning for Code Generation Models. CoRR abs/2307.02435 (2023) - 2022
- [j33]Yingjian Zhao, Bo Tian, Chunyang Wang, Jian Gong, Ming Tan, Changlin Zhou:
Analysis of multicarrier frequency diverse array radar over time. IET Signal Process. 16(4): 400-412 (2022) - [j32]Abdulrahman Salama, Cordel Hampshire, Josh Lee, Adel Sabour, Jiawei Yao, Eyhab Al-Masri, Mohamed Ali, Harsh Govind, Ming Tan, Vashutosh Agrawal, Egor Maresov, Ravi Prakash:
RDQS: A Geospatial Data Analysis System for Improving Roads Directionality Quality. ISPRS Int. J. Geo Inf. 11(8): 448 (2022) - [j31]Zhize Wu, Jian Xu, Yan Wang, Fei Sun, Ming Tan, Thomas Weise:
Hierarchical fusion and divergent activation based weakly supervised learning for object detection from remote sensing images. Inf. Fusion 80: 23-43 (2022) - [j30]Hongbing Guo, Jianying Meng, Yue Yang, Lu Zheng, Xuan Liu, Ming Tan:
Life Prediction of Dry Reactor Sensor Based on Deep Neural Network. J. Sensors 2022: 1-7 (2022) - [j29]Yingjian Zhao, Bo Tian, Chunyang Wang, Jian Gong, Ming Tan:
Robust adaptive beamforming via improved worst-case performance optimization algorithm based on FDA-MIMO. Multidimens. Syst. Signal Process. 33(3): 725-746 (2022) - [j28]Dakuo Wang, Haoyu Wang, Mo Yu, Zahra Ashktorab, Ming Tan:
Group Chat Ecology in Enterprise Instant Messaging: How Employees Collaborate Through Multi-User Chat Channels on Slack. Proc. ACM Hum. Comput. Interact. 6(CSCW1): 94:1-94:14 (2022) - [j27]Dakuo Wang, Michael J. Muller, Qian Yang, Zijun Wang, Ming Tan, Stacy Hobson:
Organizational Distance Also Matters: How Organizational Distance Among Industrial Research Teams Affect Their Research Productivity. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-18 (2022) - [j26]Yibin Liu, Chunyang Wang, Jian Gong, Ming Tan, Geng Chen:
Robust Suppression of Deceptive Jamming with VHF-FDA-MIMO Radar under Multipath Effects. Remote. Sens. 14(4): 942 (2022) - [j25]Yan Chen, Wenxiang Jiang, Mengyuan Wang, Menglei Kang, Thomas Weise, Xiaofeng Wang, Ming Tan, Lixiang Xu, Xinlu Li, Chen Zhang:
LightFGCNet: A Lightweight and Focusing on Global Context Information Semantic Segmentation Network for Remote Sensing Imagery. Remote. Sens. 14(24): 6193 (2022) - [c40]Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth:
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. ACL (2) 2022: 203-211 - [c39]Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng:
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. ECCV Workshops (3) 2022: 174-202 - [c38]Xiao-Feng Wang, Jian-Tao Wang, Li-Xiang Xu, Ming Tan, Jing Yang, Yuan Yan Tang:
Garbage Classification Detection Model Based on YOLOv4 with Lightweight Neural Network Feature Fusion. ICIC (3) 2022: 435-447 - [c37]Jiawei Yao, Eyhab Al-Masri, Mohamed Ali, Vashutosh Agrawal, Ming Tan, Harsh Govind, Adel Sabour, Abdulrahman Salama, Daniel Jiang, Reuben Keller, Dino Jazvin, Ravi Prakash, Egor Maresov:
A Geospatial Method for Detecting Map-Based Road Segment Discrepancies. MDM 2022: 230-237 - [c36]Adel Sabour, Jiawei Yao, Abdulrahman Salama, Cordel Hampshire, Eyhab Al-Masri, Mohamed Ali, Harsh Govind, Ming Tan, Vashutosh Agrawal, Egor Maresov, Ravi Prakash:
Maps Vision: A Computer Vision-based System for Detecting Discrepancies in Map Textual Labels. MDM 2022: 298-301 - [c35]Jian He, Xian Zhong, Jingling Yuan, Ming Tan, Shilei Zhao, Luo Zhong:
Joint Re-Detection and Re-Identification for Multi-Object Tracking. MMM (1) 2022: 364-376 - [c34]Dan Gibson, Hema Hariharan, Eric Lance, Moray McLaren, Behnam Montazeri, Arjun Singh, Stephen Wang, Hassan M. G. Wassel, Zhehua Wu, Sunghwan Yoo, Raghuraman Balasubramanian, Prashant Chandra, Michael Cutforth, Peter Cuy, David Decotigny, Rakesh Gautam, Alex Iriza, Milo M. K. Martin, Rick Roy, Zuowei Shen, Ming Tan, Ye Tang, Monica Wong-Chan, Joe Zbiciak, Amin Vahdat:
Aquila: A unified, low-latency fabric for datacenter networks. NSDI 2022: 1249-1266 - [i13]Zhize Wu, Huan-Yi Li, Xiaofeng Wang, Zi-Jun Wu, Le Zou, Lixiang Xu, Ming Tan:
New Benchmark for Household Garbage Image Recognition. CoRR abs/2202.11878 (2022) - [i12]Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth:
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. CoRR abs/2203.11239 (2022) - [i11]Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng:
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. CoRR abs/2208.11184 (2022) - [i10]Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang:
ContraGen: Effective Contrastive Learning For Causal Language Model. CoRR abs/2210.01185 (2022) - [i9]Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang:
Multi-lingual Evaluation of Code Generation Models. CoRR abs/2210.14868 (2022) - 2021
- [j24]Zhize Wu, Chang Zou, Yan Wang, Ming Tan, Thomas Weise:
Rotation-aware representation learning for remote sensing image retrieval. Inf. Sci. 572: 404-423 (2021) - [j23]Lixiang Xu, Lu Bai, Xiaoyi Jiang, Ming Tan, Daoqiang Zhang, Bin Luo:
Deep Rényi entropy graph kernel. Pattern Recognit. 111: 107668 (2021) - [i8]Dakuo Wang, Michael J. Muller, Qian Yang, Zijun Wang, Ming Tan, Stacy Hobson:
Organizational Distance Also Matters: A Case Study of Distributed Research Teams and their Paper Productivity. CoRR abs/2110.01028 (2021) - 2020
- [j22]Zhize Wu, Shouhong Wan, Xiao-Feng Wang, Ming Tan, Le Zou, Xinlu Li, Yan Chen:
A benchmark data set for aircraft type recognition from remote sensing images. Appl. Soft Comput. 89: 106132 (2020) - [c33]Ke Tran, Ming Tan:
Generating Synthetic Data for Task-Oriented Semantic Parsing with Hierarchical Representations. SPNLP@EMNLP 2020: 17-21 - [c32]Xian Zhong, Ming Tan, Weijian Ruan, Wenxin Huang, Liang Xie, Jingling Yuan:
Dual-Direction Perception and Collaboration Network for Near-Online Multi-Object Tracking. ICIP 2020: 2111-2115 - [c31]Ming Tan, Chunyang Wang, Zhihui Li, Juan Bai, Lei Bao:
Adaptive Beamforming Using Frequency Diverse MIMO Radar with Nonlinear Frequency Offset. SAM 2020: 1-5 - [i7]Zhize Wu, Thomas Weise, Le Zou, Fei Sun, Ming Tan:
Skeleton Based Action Recognition using a Stacked Denoising Autoencoder with Constraints of Privileged Information. CoRR abs/2003.05684 (2020) - [i6]Ke Tran, Ming Tan:
Generating Synthetic Data for Task-Oriented Semantic Parsing with Hierarchical Representations. CoRR abs/2011.02050 (2020)
2010 – 2019
- 2019
- [j21]Xinlu Li, Brian Keegan, Fredrick Mtenzi, Thomas Weise, Ming Tan:
Energy-Efficient Load Balancing Ant Based Routing Algorithm for Wireless Sensor Networks. IEEE Access 7: 113182-113196 (2019) - [c30]Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar:
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers. ACL (1) 2019: 1371-1377 - [c29]Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar, Shiyu Chang, Mo Yu:
Out-of-Domain Detection for Low-Resource Text Classification Tasks. EMNLP/IJCNLP (1) 2019: 3564-3570 - [c28]Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar, Xiaoxiao Guo, Shiyu Chang, Mo Yu:
Context-Aware Conversation Thread Detection in Multi-Party Chat. EMNLP/IJCNLP (1) 2019: 6455-6460 - [c27]Lei Bao, Chunyang Wang, Juan Bai, Sheng-jun Wei, Ming Tan, Yuan-jie Lv:
Time-varying Target Characteristic Analysis of Dual Stealth Aircraft Formation. HPCCT/BDAI 2019: 200-204 - [i5]Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar:
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers. CoRR abs/1902.01030 (2019) - [i4]Dakuo Wang, Haoyu Wang, Mo Yu, Zahra Ashktorab, Ming Tan:
Slack Channels Ecology in Enterprises: How Employees Collaborate Through Group Chat. CoRR abs/1906.01756 (2019) - [i3]Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar, Shiyu Chang, Mo Yu:
Out-of-Domain Detection for Low-Resource Text Classification Tasks. CoRR abs/1909.05357 (2019) - 2017
- [j20]Xiaofan Zhao, Maliya Heini, Momin Sailai, Abuduwayiti Aierken, Qi Guo, Yudong Li, Shulong Lu, Pan Dai, Yuanyuan Wu, Ming Tan:
1-MeV electron irradiation effects on InGaAsP/InGaAs double-junction solar cell and its component subcells. Sci. China Inf. Sci. 60(12): 120403:1-120403:3 (2017) - [c26]Jingshan Huang, Dejing Dou, Ming Tan, Glen M. Borchert, Karen Eilbeck, Alan Ruttenberg, Ping Yang:
Semantics-oriented data science and computational life sciences: Innovative application of semantic technologies in microRNA and lncRNA research. ICCABS 2017: 1 - 2016
- [j19]Jingshan Huang, Karen Eilbeck, Barry Smith, Judith A. Blake, Dejing Dou, Weili Huang, Darren A. Natale, Alan Ruttenberg, Jun Huan, Michael T. Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Harrison J. Strachan, Yongqun He, Shaojie Zhang, Xiaowei Wang, Zixing Liu, Glen M. Borchert, Ming Tan:
The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology. J. Biomed. Semant. 7: 24 (2016) - [j18]Jingshan Huang, Fernando Gutierrez, Harrison J. Strachan, Dejing Dou, Weili Huang, Barry Smith, Judith A. Blake, Karen Eilbeck, Darren A. Natale, Yu Lin, Bin Wu, Nisansa de Silva, Xiaowei Wang, Zixing Liu, Glen M. Borchert, Ming Tan, Alan Ruttenberg:
OmniSearch: a semantic search system based on the Ontology for MIcroRNA Target (OMIT) for microRNA-target gene interaction data. J. Biomed. Semant. 7: 25 (2016) - [j17]Jingshan Huang, Karen Eilbeck, Barry Smith, Judith A. Blake, Dejing Dou, Weili Huang, Darren A. Natale, Alan Ruttenberg, Jun Huan, Michael T. Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Harrison J. Strachan, Nisansa de Silva, Mohan Vamsi Kasukurthi, Vikash Kumar Jha, Yongqun He, Shaojie Zhang, Xiaowei Wang, Zixing Liu, Glen M. Borchert, Ming Tan:
The development of non-coding RNA ontology. Int. J. Data Min. Bioinform. 15(3): 214-232 (2016) - [c25]Ming Tan, Cícero Nogueira dos Santos, Bing Xiang, Bowen Zhou:
Improved Representation Learning for Question Answer Matching. ACL (1) 2016 - [c24]Lidan Wang, Ming Tan, Jiawei Han:
FastHybrid: A Hybrid Model for Efficient Answer Selection. COLING 2016: 2378-2388 - [i2]Cícero Nogueira dos Santos, Ming Tan, Bing Xiang, Bowen Zhou:
Attentive Pooling Networks. CoRR abs/1602.03609 (2016) - 2015
- [j16]Tom Johnsten, Laura Fain, Leanna Fain, Ryan G. Benton, Ethan Butler, Lewis Pannell, Ming Tan:
Exploiting multi-layered vector spaces for signal peptide detection. Int. J. Data Min. Bioinform. 13(2): 141-157 (2015) - [c23]Jingshan Huang, Karen Eilbeck, Judith A. Blake, Dejing Dou, Darren A. Natale, Alan Ruttenberg, Barry Smith, Michael T. Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Yongqun He, Shaojie Zhang, Xiaowei Wang, He Zhang, Zixing Liu, Ming Tan:
A domain ontology for the Non-Coding RNA field. BIBM 2015: 621-624 - [c22]Jingshan Huang, Fernando Gutierrez, Dejing Dou, Judith A. Blake, Karen Eilbeck, Darren A. Natale, Barry Smith, Yu Lin, Xiaowei Wang, Zixing Liu, Ming Tan, Alan Ruttenberg:
A semantic approach for knowledge capture of MIcroRNA-Target gene interactions. BIBM 2015: 975-982 - [c21]Ming Tan, Lin Tan, Sashank Dara, Caleb Mayeux:
Online Defect Prediction for Imbalanced Data. ICSE (2) 2015: 99-108 - [i1]Ming Tan, Bing Xiang, Bowen Zhou:
LSTM-based Deep Learning Models for non-factoid answer selection. CoRR abs/1511.04108 (2015) - 2013
- [c20]Jingshan Huang, Jiangbo Dang, Xingyu Lu, Min Xiong, William T. Gerthoffer, Ming Tan:
Semi-automated microRNA ontology development based on artificial neural networks. BIBM 2013: 526-529 - [c19]Ming Tan, Tian Xia, Shaojun Wang, Bowen Zhou:
A Corpus Level MIRA Tuning Strategy for Machine Translation. EMNLP 2013: 851-856 - [c18]Shaodan Zhai, Tian Xia, Ming Tan, Shaojun Wang:
A robust semi-supervised boosting method using linear programming. GlobalSIP 2013: 1101-1104 - [c17]Ming Tan, Tian Xia, Lily Guo, Shaojun Wang:
Direct optimization of ranking measures for learning to rank models. KDD 2013: 856-864 - [c16]Shaodan Zhai, Tian Xia, Ming Tan, Shaojun Wang:
Direct 0-1 Loss Minimization and Margin Maximization with Boosting. NIPS 2013: 872-880 - 2012
- [j15]Ming Tan, Wenli Zhou, Lei Zheng, Shaojun Wang:
A Scalable Distributed Syntactic, Semantic, and Lexical Language Model. Comput. Linguistics 38(3): 631-671 (2012) - [c15]Jingshan Huang, Xingyu Lu, Dejing Dou, William T. Gerthoffer, Jiangbo Dang, Judith A. Blake, Ming Tan:
An ontology-based MicroRNA knowledge sharing and acquisition framework. BIBM Workshops 2012: 740-747 - 2011
- [c14]Ming Tan, Wenli Zhou, Lei Zheng, Shaojun Wang:
A Large Scale Distributed Syntactic, Semantic and Lexical Language Model for Machine Translation. ACL 2011: 201-210 - 2010
- [j14]Zhenqiu Liu, Dechang Chen, Ming Tan, Feng Jiang, Ronald B. Gartenhaus:
Kernel based methods for accelerated failure time model with ultra-high dimensional data. BMC Bioinform. 11: 606 (2010) - [j13]Zhenqiu Liu, Shili Lin, Ming Tan:
Sparse Support Vector Machines with L_{p} Penalty for Biomarker Identification. IEEE ACM Trans. Comput. Biol. Bioinform. 7(1): 100-107 (2010) - [c13]Jingshan Huang, Ming Tan, Dejing Dou, Lei He, Christopher Townsend, Patrick J. Hayes:
Ontology for MicroRNA Target prediction in human cancer. BCB 2010: 472-474
2000 – 2009
- 2009
- [j12]Guo-Liang Tian, Kai Wang Ng, Kai-Can Li, Ming Tan:
Non-iterative sampling-based Bayesian methods for identifying changepoints in the sequence of cases of Haemolytic uraemic syndrome. Comput. Stat. Data Anal. 53(9): 3314-3323 (2009) - [j11]Zhenqiu Liu, Ronald B. Gartenhaus, Xue-wen Chen, Charles D. Howell, Ming Tan:
Survival Prediction and Gene Identification with Penalized Global AUC Maximization. J. Comput. Biol. 16(12): 1661-1670 (2009) - [j10]Guo-Liang Tian, Hong-Bin Fang, Ming Tan, Hong Qin, Man-Lai Tang:
Uniform distributions in a class of convex polyhedrons with applications to drug combination studies. J. Multivar. Anal. 100(8): 1854-1865 (2009) - 2008
- [j9]Zhenqiu Liu, Ronald B. Gartenhaus, Ming Tan, Feng Jiang, Xiaoli Jiao:
Gene and pathway identification with Lp penalized Bayesian logistic regression. BMC Bioinform. 9 (2008) - [j8]Guo-Liang Tian, Man-Lai Tang, Hong-Bin Fang, Ming Tan:
Efficient methods for estimating constrained parameters with applications to regularized (lasso) logistic regression. Comput. Stat. Data Anal. 52(7): 3528-3542 (2008) - [j7]Guo-Liang Tian, Kai Wang Ng, Ming Tan:
EM-type algorithms for computing restricted MLEs in multivariate normal distributions and multivariate t-distributions. Comput. Stat. Data Anal. 52(10): 4768-4778 (2008) - 2007
- [j6]Man-Lai Tang, Kai Wang Ng, Guo-Liang Tian, Ming Tan:
On improved EM algorithm and confidence interval construction for incomplete r. Comput. Stat. Data Anal. 51(6): 2919-2933 (2007) - 2006
- [j5]Ming Tan, Guo-Liang Tian, Kai Wang Ng:
Hierarchical models for repeated binary data using the IBF sampler. Comput. Stat. Data Anal. 50(5): 1272-1286 (2006) - [j4]Zhenqiu Liu, Shili Lin, Ming Tan:
Genome-Wide Tagging SNPs with Entropy-Based Monte Carlo Method. J. Comput. Biol. 13(9): 1606-1614 (2006) - [c12]Bocheng Zhong, Jianghong Han, Zhaofang Du, Yuan Ming, Ming Tan:
Game Based Flow Rate Control for Networks. ICICIC (1) 2006: 401-404 - 2001
- [c11]Steve Gallant, Gregory Piatetsky-Shapiro, Ming Tan:
Value-based data mining and web mining for CRM. KDD Tutorials 2001 - 2000
- [c10]Ming Tan, Johnson Lee, Hao Xu, Joshua Introne, Christopher J. Matheus:
Wireless usage analysis for capacity planning and beyond: a data warehouse approach. NOMS 2000: 905-917
1990 – 1999
- 1999
- [c9]Ming Tan, Hao Xu, Johnson Lee:
DART: A Decision Support System for Cellular Networks Usage Analysis. IC-AI 1999: 479-485 - 1996
- [c8]Ming Tan, Carol Lafond, Gabriel Jakobson, Gary Young:
Supporting Performance and Configuration Management of GTE Cellular Networks. AAAI/IAAI, Vol. 2 1996: 1556-1563 - 1993
- [j3]Ming Tan:
Cost-Sensitive Learning of Classification Knowledge and Its Applications in Robotics. Mach. Learn. 13: 7-33 (1993) - [c7]Ming Tan:
Multi-Agent Reinforcement Learning: Independent versus Cooperative Agents. ICML 1993: 330-337 - 1991
- [j2]Ming Tan, Jeffrey C. Schlimmer:
A cost-sensitive machine learning method for the approach and recognize task. Robotics Auton. Syst. 8(1-2): 31-45 (1991) - [c6]Ming Tan:
Cost-Sensitive Reinforcement Learning for Adaptive Classification and Control. AAAI 1991: 774-780 - [c5]Ming Tan:
Learning a Cost-Sensitive Internal Representation for Reinforcement Learning. ML 1991: 358-362 - 1990
- [c4]Ming Tan, Jeffrey C. Schlimmer:
Two Case Studies in Cost-Sensitive Concept Acquisition. AAAI 1990: 854-860 - [c3]Ming Tan:
CSL: a cost-sensitive learning system for sensing and grasping objects. ICRA 1990: 858-863
1980 – 1989
- 1989
- [c2]Ming Tan, Jeffrey C. Schlimmer:
Cost-Sensitive Concept Learning of Sensor Use in Approach ad Recognition. ML 1989: 392-395 - 1988
- [c1]Ming Tan, Larry J. Eshelman:
Using Weighted Networks to Represent Classification Knowledge in Noisy Domains. ML 1988: 121-134 - 1987
- [j1]Larry J. Eshelman, Damien Ehret, John P. McDermott, Ming Tan:
MOLE: A Tenacious Knowledge-Acquisition Tool. Int. J. Man Mach. Stud. 26(1): 41-54 (1987)