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2020 – today
- 2026
[j6]Yuan Ai
, Jingxu Yang, Mingqi Wu, Jiahao Li:
A Deep Neural Network-Based Adaptive Dispatch Optimization for Power Blockchain Systems. J. Circuits Syst. Comput. 35(5): 2550445:1-2550445:21 (2026)- 2025
- [j5]Lukun Zeng, Sheng Li, Jingxu Yang, Mingqi Wu, Guanyu Chen, Lin Lu, Hewen Zheng:
The Research on a Knowledge Graph-Based Method for Detecting Version Differences in Metering Foundations. IEEE Access 13: 161003-161015 (2025) - [j4]Yuan Ai, Mingqi Wu, Jingxu Yang, Jiahao Li:
Blockchain-Based Trusted Data Collection and Intelligent Optimization for Efficient Distributed Power Resource Management. J. Circuits Syst. Comput. 34(17) (2025) - [j3]Mingqi Wu, Qiang Sun:
Ensemble Linear Interpolators: The Role of Ensembling. SIAM J. Math. Data Sci. 7(2): 438-467 (2025) - [c7]Yuhong Dai, Jianxun Lian, Yitian Huang, Wei Zhang, Mingyang Zhou, Mingqi Wu, Xing Xie, Hao Liao:
Pretraining Context Compressor for Large Language Models with Embedding-Based Memory. ACL (1) 2025: 28715-28732 - [i11]Yuming Yang, Yang Nan, Junjie Ye, Shihan Dou, Xiao Wang, Shuo Li, Huijie Lv, Mingqi Wu, Tao Gui, Qi Zhang, Xuanjing Huang:
Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric. CoRR abs/2502.17184 (2025) - [i10]Hao Liao, Wensheng Lu, Jianxun Lian, Mingqi Wu, Shuo Wang, Yong Zhang, Yitian Huang, Ming-Yang Zhou, Xing Xie:
Avoid Recommending Out-of-Domain Items: Constrained Generative Recommendation with LLMs. CoRR abs/2505.03336 (2025) - [i9]Mingqi Wu, Zhihao Zhang, Qiaole Dong, Zhiheng Xi, Jun Zhao, Senjie Jin, Xiaoran Fan, Yuhao Zhou, Yanwei Fu, Qin Liu, Songyang Zhang, Qi Zhang:
Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination. CoRR abs/2507.10532 (2025) - [i8]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:
LLMEval-3: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models. CoRR abs/2508.05452 (2025) - [i7]Mingqi Wu, Qiang Sun, Yi Yang:
PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning. CoRR abs/2511.12278 (2025) - 2024
- [c6]Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie:
Aligning Language Models for Versatile Text-based Item Retrieval. WWW (Companion Volume) 2024: 935-938 - [i6]Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie:
Aligning Language Models for Versatile Text-based Item Retrieval. CoRR abs/2402.18899 (2024) - 2023
- [c5]Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin:
xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction. WWW 2023: 349-359 - [c4]Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie:
Towards Explainable Collaborative Filtering with Taste Clusters Learning. WWW 2023: 3712-3722 - [i5]Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie:
Towards Explainable Collaborative Filtering with Taste Clusters Learning. CoRR abs/2304.13937 (2023) - [i4]Hao Wang, Jianxun Lian, Mingqi Wu, Haoxuan Li, Jiajun Fan, Wanyue Xu, Chaozhuo Li, Xing Xie:
ConvFormer: Revisiting Transformer for Sequential User Modeling. CoRR abs/2308.02925 (2023) - [i3]Mingqi Wu, Qiang Sun:
Ensemble linear interpolators: The role of ensembling. CoRR abs/2309.03354 (2023) - 2022
- [c3]Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie:
Friend Recommendations with Self-Rescaling Graph Neural Networks. KDD 2022: 3909-3919 - 2021
- [c2]Konstantin Donhauser, Mingqi Wu, Fanny Yang:
How rotational invariance of common kernels prevents generalization in high dimensions. ICML 2021: 2804-2814 - [i2]Konstantin Donhauser, Mingqi Wu, Fanny Yang:
How rotational invariance of common kernels prevents generalization in high dimensions. CoRR abs/2104.04244 (2021)
2010 – 2019
- 2017
- [i1]Jorge Guevara Diaz, Matthias Kormaksson, Bianca Zadrozny, Ligang Lu, John Tolle, Tyler Croft, Mingqi Wu, Jan Limbeck, Detlef Hohl:
A data-driven workflow for predicting horizontal well production using vertical well logs. CoRR abs/1705.06556 (2017) - 2014
- [j2]Qingyu Zhu, Wuneng Zhou, Liuwei Zhou, Mingqi Wu, Dongbing Tong:
Mode-dependent projective synchronization for neutral-type neural networks with distributed time-delays. Neurocomputing 140: 97-103 (2014) - 2013
- [c1]Linlin Tian, Lanhua Liu, Anding Dai, Wuneng Zhou, Mingqi Wu:
Applications of digital filters in a wireless liquid level control system. ICNC 2013: 1304-1308
2000 – 2009
- 2009
- [j1]Mingqi Wu, Faming Liang, Yanan Tian:
Bayesian modeling of ChIP-chip data using latent variables. BMC Bioinform. 10: 352 (2009)
Coauthor Index
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