Ming Tan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
43
Venues
21
Active years
1988–2026
Best venue rank
A*
Where they publish
Papers
43 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Linking Knowledge to Care: Knowledge Graph-Augmented Medical Follow-Up Question Generation. | Liwen Sun, Xiang Yu, Ming Tan, Zhuohao Chen, Anqi Cheng, Ashutosh Joshi, Chenyan Xiong |
| 2024 | EMNLP | PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment. | Zequan Liu, Yi Zhao, Ming Tan, Wei Zhu, Aaron Xuxiang Tian |
| 2024 | ICLR | Code Representation Learning at Scale. | Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang |
| 2024 | IJCCI | Randomized Local Search for Two-Dimensional Bin Packing and a Negative Result for Frequency Fitness Assignment. | Rui Zhao, Zhize Wu, Daan van den Berg, Matthias Threr, Tianyu Liang, Ming Tan, Thomas Weise |
| 2023 | ACL | Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation. | Robert Giaquinto, Dejiao Zhang, Benjamin Kleiner, Yang Li, Ming Tan, Parminder Bhatia, Ramesh Nallapati, Xiaofei Ma |
| 2023 | ACL | ContraCLM: Contrastive Learning For Causal Language Model. | 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 |
| 2023 | ACL | Exploring Continual Learning for Code Generation Models. | 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 |
| 2023 | ACL | LECO: Improving Early Exiting via Learned Exits and Comparison-based Exiting Mechanism. | Jingfan Zhang, Ming Tan, Pengyu Dai, Wei Zhu |
| 2023 | ACL | NAG-NER: a Unified Non-Autoregressive Generation Framework for Various NER Tasks. | Xinpeng Zhang, Ming Tan, Jingfan Zhang, Wei Zhu |
| 2023 | ACL | Learned Adapters Are Better Than Manually Designed Adapters. | Yuming Zhang, Peng Wang, Ming Tan, Wei Zhu |
| 2023 | ACML | Single Image Super-resolution Based On Non-subsampled Shearlet Transform. | Ming Tan, Liang Chen, Xuan Wu, Yi Wu |
| 2023 | CVPR | NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results. | 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 Sjlund, Thomas B. Schn, 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 |
| 2023 | CVPR | Cross-View Hierarchy Network for Stereo Image Super-Resolution. | Wenbin Zou, Hongxia Gao, Liang Chen, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan |
| 2023 | EMNLP | SPT: Learning to Selectively Insert Prompts for Better Prompt Tuning. | Wei Zhu, Ming Tan |
| 2023 | HealthCom | Evaluating the Use of Large Language Model to Identify Top Research Priorities in Hematology. | Huiqin Chen, Fangwan Huang, Xuanyun Liu, Yinli Tan, Dihua Zhang, Dongqi Li, Glen M. Borchert, Ming Tan, Jingshan Huang |
| 2023 | ICLR | Multi-lingual Evaluation of Code Generation Models. | 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 |
| 2023 | SSDBM | A Computer Vision Approach for Detecting Discrepancies in Map Textual Labels. | Abdulrahman Salama, Mahmoud Elkamhawy, Mohamed Ali, Eyhab Al-Masri, Adel A. Sabour, Abdeltawab M. Hendawi, Ming Tan, Vashutosh Agrawal, Ravi Prakash |
| 2022 | ACL | DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. | Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth |
| 2022 | ECCV | AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. | 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 |
| 2022 | MDM | Maps Vision: A Computer Vision-based System for Detecting Discrepancies in Map Textual Labels. | Adel A. Sabour, Jiawei Yao, Abdulrahman Salama, Cordel Hampshire, Eyhab Al-Masri, Mohamed Ali, Harsh Govind, Ming Tan, Vashutosh Agrawal, Egor Maresov, Ravi Prakash |
| 2022 | MDM | A Geospatial Method for Detecting Map-Based Road Segment Discrepancies. | Jiawei Yao, Eyhab Al-Masri, Mohamed Ali, Vashutosh Agrawal, Ming Tan, Harsh Govind, Adel A. Sabour, Abdulrahman Salama, Daniel Jiang, Reuben Keller, Dino Jazvin, Ravi Prakash, Egor Maresov |
| 2022 | MMM | Joint Re-Detection and Re-Identification for Multi-Object Tracking. | Jian He, Xian Zhong, Jingling Yuan, Ming Tan, Shilei Zhao, Luo Zhong |
| 2022 | NSDI | Aquila: A unified, low-latency fabric for datacenter networks. | 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 |
| 2020 | ICIP | Dual-Direction Perception and Collaboration Network for Near-Online Multi-Object Tracking. | Xian Zhong, Ming Tan, Weijian Ruan, Wenxin Huang, Liang Xie, Jingling Yuan |
| 2019 | ACL | Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers. | Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar |
| 2019 | EMNLP | Context-Aware Conversation Thread Detection in Multi-Party Chat. | Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar, Xiaoxiao Guo, Shiyu Chang, Mo Yu |
| 2019 | EMNLP | Out-of-Domain Detection for Low-Resource Text Classification Tasks. | Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar, Shiyu Chang, Mo Yu |
| 2016 | ACL | Improved Representation Learning for Question Answer Matching. | Ming Tan, Ccero Nogueira dos Santos, Bing Xiang, Bowen Zhou |
| 2016 | COLING | FastHybrid: A Hybrid Model for Efficient Answer Selection. | Lidan Wang, Ming Tan, Jiawei Han |
| 2015 | ICSE | Online Defect Prediction for Imbalanced Data. | Ming Tan, Lin Tan, Sashank Dara, Caleb Mayeux |
| 2013 | EMNLP | A Corpus Level MIRA Tuning Strategy for Machine Translation. | Ming Tan, Tian Xia, Shaojun Wang, Bowen Zhou |
| 2013 | KDD | Direct optimization of ranking measures for learning to rank models. | Ming Tan, Tian Xia, Lily Guo, Shaojun Wang |
| 2011 | ACL | A Large Scale Distributed Syntactic, Semantic and Lexical Language Model for Machine Translation. | Ming Tan, Wenli Zhou, Lei Zheng, Shaojun Wang |
| 2001 | KDD | Value-based data mining and web mining for CRM. | Steve Gallant, Gregory Piatetsky-Shapiro, Ming Tan |
| 2000 | NOMS | Wireless usage analysis for capacity planning and beyond: a data warehouse approach. | Ming Tan, Johnson Lee, Hao Xu, Joshua Introne, Christopher J. Matheus |
| 1996 | AAAI | Supporting Performance and Configuration Management of GTE Cellular Networks. | Ming Tan, Carol Lafond, Gabriel Jakobson, Gary Young |
| 1993 | ICML | Multi-Agent Reinforcement Learning: Independent versus Cooperative Agents. | Ming Tan |
| 1991 | AAAI | Cost-Sensitive Reinforcement Learning for Adaptive Classification and Control. | Ming Tan |
| 1991 | ICML | Learning a Cost-Sensitive Internal Representation for Reinforcement Learning. | Ming Tan |
| 1990 | AAAI | Two Case Studies in Cost-Sensitive Concept Acquisition. | Ming Tan, Jeffrey C. Schlimmer |
| 1990 | ICRA | CSL: a cost-sensitive learning system for sensing and grasping objects. | Ming Tan |
| 1989 | ICML | Cost-Sensitive Concept Learning of Sensor Use in Approach ad Recognition. | Ming Tan, Jeffrey C. Schlimmer |
| 1988 | ICML | Using Weighted Networks to Represent Classification Knowledge in Noisy Domains. | Ming Tan, Larry J. Eshelman |