Mingqi Wu

According to our database, Mingqi Wu authored at least 25 papers between 2009 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Deep Neural Network-Based Adaptive Dispatch Optimization for Power Blockchain Systems.

Yuan Ai, Jingxu Yang, Mingqi Wu, Jiahao Li

J. Circuits Syst. Comput., March, 2026

KAT-Coder-V2 Technical Report.

Fengxiang Li, Han Zhang, Haoyang Huang, Jinghui Wang, Jinhua Hao, Kun Yuan, Mengtong Li, Minglei Zhang, Pengcheng Xu, Wenhao Zhuang, Yizhen Shao, Zongxian Feng, Can Tang, Chao Wang, Chengxiao Tong, Fan Yang, Gang Xiong, Haixuan Gao, Han Gao, Hao Wang, Haochen Liu, Hongliang Sun, Jiabao Li, Jingwen Chang, Jun Du, Junyi Peng, Leizhen Cui, Meimei Jing, Mingqi Wu, Shangpeng Yan, Shaotong Qi, Suzhe Xu, Wenxuan Zhao, Xianda Sun, Xuan Xie, Yanbo Wang, Yao Xia, Yinghan Cui, Yingpeng Chen, Yong Wang, Yuze Shi, Zhiwei Shen, Ziyu Wang, Ming Sun, Lin Ye, Bin Chen

CoRR, March, 2026

Why Self-Training Helps and Hurts: Denoising vs. Signal Forgetting.

Mingqi Wu, Archer Y. Yang, Qiang Sun

CoRR, February, 2026

Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment.

Yuming Yang, Mingyoung Lai, Wanxu Zhao, Xiaoran Fan, Zhiheng Xi, Mingqi Wu, Chiyue Huang, Jun Zhao, Haijun Lv, Jian Tong, Yunhua Zhou, Yicheng Zou, Qipeng Guo, Tao Gui, Qi Zhang, Xuanjing Huang

CoRR, January, 2026

Can Deep Research Agents Retrieve and Organize? Evaluating the Synthesis Gap with Expert Taxonomies.

Ming Zhang, Jiabao Zhuang, Wenqing Jing, Kexin Tan, Ziyu Kong, Jingyi Deng, Yujiong Shen, Yuhang Zhao, Ning Luo, Renzhe Zheng, Jiahui Lin, Mingqi Wu, Long Ma, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang

CoRR, January, 2026

Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination.

Mingqi Wu, Zhihao Zhang, Qiaole Dong, Zhiheng Xi, Jun Zhao, Senjie Jin, Xiaoran Fan, Yuhao Zhou, Huijie Lv, Ming Zhang, Yanwei Fu, Qin Liu, Songyang Zhang, Qi Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning.

Mingqi Wu, Qiang Sun, Yi Yang

CoRR, November, 2025

LLMEval-3: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models.

Ming Zhang, Yujiong Shen, Jingyi Deng, Yuhui Wang, Yue Zhang, Junzhe Wang, Shichun Liu, Shihan Dou, Huayu Sha, Qiyuan Peng, Changhao Jiang, Jingqi Tong, Yilong Wu, Zhihao Zhang, Mingqi Wu, Zhiheng Xi, Mingxu Chai, Tao Liang, Zhihui Fei, Zhen Wang, Mingyang Wan, Guojun Ma, Tao Gui, Qi Zhang, Xuanjing Huang

CoRR, August, 2025

Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination.

Mingqi Wu, Zhihao Zhang, Qiaole Dong, Zhiheng Xi, Jun Zhao, Senjie Jin, Xiaoran Fan, Yuhao Zhou, Yanwei Fu, Qin Liu, Songyang Zhang, Qi Zhang

CoRR, July, 2025

Avoid Recommending Out-of-Domain Items: Constrained Generative Recommendation with LLMs.

Hao Liao, Wensheng Lu, Jianxun Lian, Mingqi Wu, Shuo Wang, Yong Zhang, Yitian Huang, Ming-Yang Zhou, Xing Xie

CoRR, May, 2025

Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric.

Yuming Yang, Yang Nan, Junjie Ye, Shihan Dou, Xiao Wang, Shuo Li, Huijie Lv, Mingqi Wu, Tao Gui, Qi Zhang, Xuanjing Huang

CoRR, February, 2025

Ensemble Linear Interpolators: The Role of Ensembling.

Mingqi Wu, Qiang Sun

SIAM J. Math. Data Sci., 2025

Blockchain-Based Trusted Data Collection and Intelligent Optimization for Efficient Distributed Power Resource Management.

Yuan Ai, Mingqi Wu, Jingxu Yang, Jiahao Li

J. Circuits Syst. Comput., 2025

The Research on a Knowledge Graph-Based Method for Detecting Version Differences in Metering Foundations.

Lukun Zeng, Sheng Li, Jingxu Yang, Mingqi Wu, Guanyu Chen, Lin Lu, Hewen Zheng

IEEE Access, 2025

Pretraining Context Compressor for Large Language Models with Embedding-Based Memory.

Yuhong Dai, Jianxun Lian, Yitian Huang, Wei Zhang, Mingyang Zhou, Mingqi Wu, Xing Xie, Hao Liao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Aligning Language Models for Versatile Text-based Item Retrieval.

Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

ConvFormer: Revisiting Transformer for Sequential User Modeling.

Hao Wang, Jianxun Lian, Mingqi Wu, Haoxuan Li, Jiajun Fan, Wanyue Xu, Chaozhuo Li, Xing Xie

CoRR, 2023

xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction.

Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin

Proceedings of the ACM Web Conference 2023, 2023

Towards Explainable Collaborative Filtering with Taste Clusters Learning.

Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie

Proceedings of the ACM Web Conference 2023, 2023

2022

Friend Recommendations with Self-Rescaling Graph Neural Networks.

Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

How rotational invariance of common kernels prevents generalization in high dimensions.

Konstantin Donhauser, Mingqi Wu, Fanny Yang

Proceedings of the 38th International Conference on Machine Learning, 2021

2017

A data-driven workflow for predicting horizontal well production using vertical well logs.

Jorge Guevara Diaz, Matthias Kormaksson, Bianca Zadrozny, Ligang Lu, John Tolle, Tyler Croft, Mingqi Wu, Jan Limbeck, Detlef Hohl

CoRR, 2017

2014

Mode-dependent projective synchronization for neutral-type neural networks with distributed time-delays.

Qingyu Zhu, Wuneng Zhou, Liuwei Zhou, Mingqi Wu, Dongbing Tong

Neurocomputing, 2014

2013

Applications of digital filters in a wireless liquid level control system.

Linlin Tian, Lanhua Liu, Anding Dai, Wuneng Zhou, Mingqi Wu

Proceedings of the Ninth International Conference on Natural Computation, 2013

2009

Bayesian modeling of ChIP-chip data using latent variables.

Mingqi Wu, Faming Liang, Yanan Tian

BMC Bioinform., 2009