Mingqi Wu

According to our database, Mingqi Wu authored at least 16 papers between 2009 and 2025.

Collaborative distances:

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

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

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