Scholar
Mingjie Tang
Google Scholar ID: tVgxEuwAAAAJ
Purdue University
Citations & Impact
Citations
729
H-index
13
i10-index
19
Publications
20
Co-authors
24
list available
Contact
Publications
Resume (English only)
Academic Achievements
- [{'Title': 'Are Your LLM-based Text-to-SQL Models Secure? Exploring SQL Injection via Backdoor Attacks', 'Authors': 'Meiyu Lin, Haichuan Zhang, Jiale Lao, Renyuan Li, Yuanchun Zhou, Carl Yang, Yang Cao, Mingjie Tang', 'Conference': "Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD '26)", 'Date': 'Jun 2026'}, {'Title': 'Tuning Less, Prompting More: A Cost-Effective and Flexible Training and Inference Pipeline for Natural Language Transformation', 'Authors': 'Shuyun Yang, Zhengmao Ye, Yan Zhang, Lei Duan, Mingjie Tang', 'Conference': "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP '25)", 'Date': 'Nov 2025'}, {'Title': 'Concise reasoning via reinforcement learning', 'Authors': 'Mehdi Fatemi, Banafsheh Rafiee, Mingjie Tang, Kartik Talamadupula', 'Conference': 'Not provided'}, {'Title': 'mLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUs', 'Authors': 'Zhengmao Ye, Dengchun Li, Zetao Hu, Tingfen Lan, Sha Jian, Sicong Zheng, Lei Duan, Jie Zuo, Hui Lu, Yuanchun Zhou, Mingjie Tang', 'Conference': 'Proceedings of Very Large Data Bases Conference (VLDB), 2025'}, {'Title': 'DLRover-RM: Resource Optimization for Deep Recommendation Models Training in Cloud', 'Authors': 'Qinlong Wang, Tingfeng Lan, Yinghao Tang, Bo Sang, Ziling Huang, Yihen Du, Haitao Zhang, Shajian, Ke Zhang, Hui Lu, Yuanchun Zhou, Mingjie Tang', 'Conference': 'Proceedings of Very Large Data Bases Conference (VLDB), 2024'}, {'Title': 'BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks.', 'Authors': 'Zhiyuan Cheng, Zhaoyi Liu, Tengda Guo, Shiwei Feng, Dongfang Liu, Mingjie Tang, Xiangyu Zhang', 'Conference': 'International Conference on Machine Learning (ICML), 2024'}, {'Title': 'A Demonstration of GPTuner: A GPT-Based Manual-Reading Database Tuning System.', 'Authors': 'Jiale Lao, Yibo Wang, Yufei Li, Jianping Wang, Yunjia Zhang, Zhiyuan Cheng, Wanghu Chen, Yuanchun Zhou, Mingjie Tang, Jianguo Wang', 'Conference': 'Demo in Proceedings of ACM Conference on Management of Data (SIGMOD), 2024'}, {'Title': 'GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization.', 'Authors': 'Jiale Lao, Yibo Wang, Yufei Li, Jianping Wang, Yunjia Zhang, Zhiyuan Cheng, Wanghu Chen, Mingjie Tang, Jianguo Wang', 'Conference': 'Proceedings of Very Large Data Bases Conference (VLDB), 2024', 'Award': 'SIGMOD Research Highlight Awards 2025!'}, {'Title': 'Couler: Unified Machine Learning Workflow Optimization in Cloud', 'Authors': 'Xiaoda Wang, Yuan Tang, Tengda Guo, Bo Sang, Jingji Wu, Jian Sha, Ke Zhang, Jiang Qian, Mingjie Tang', 'Conference': '40th IEEE International Conference on Data Engineering (ICDE) 2024'}, {'Title': 'Cougar: A General Framework for Jobs Optimization In Cloud', 'Authors': 'Bo Sang, Shuwei Gu, Xiaojun Zhan, Mingjie Tang, Jian Liu, Xuan Chen, Jie Tan, Haoyuan Ge, Ke Zhang, Ruoyi Ruan, Wei Yan', 'Conference': '39th IEEE International Conference'}]
Background
- Currently working on LLM systems and algorithms. Previously, he was the tech lead at Ant Group, and a member of the technical staff at Hortonworks/Cloudera. He has broad research interests in RDBMS, distributed machine learning systems, big data computation engines, and distributed deep learning systems.
Miscellany
- No additional information provided
