Bayesian modeling of ChIP-chip data using latent variables. - Mingqi Wu; Faming Liang; Yanan Tian (BMC Bioinform., 2009)

Applications of digital filters in a wireless liquid level control system. - Linlin Tian; Lanhua Liu; Anding Dai; Wuneng Zhou; Mingqi Wu (ICNC, 2013)

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)

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)

How rotational invariance of common kernels prevents generalization in high dimensions. - Konstantin Donhauser; Mingqi Wu; Fanny Yang (ICML, 2021)

Friend Recommendations with Self-Rescaling Graph Neural Networks. - Xiran Song; Jianxun Lian; Hong Huang 001; Mingqi Wu; Hai Jin 001; Xing Xie 001 (KDD, 2022)

Towards Explainable Collaborative Filtering with Taste Clusters Learning. - Yuntao Du 002; Jianxun Lian; Jing Yao; Xiting Wang; Mingqi Wu; Lu Chen 001; Yunjun Gao; Xing Xie 001 (WWW, 2023)

xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction. - Xiran Song; Jianxun Lian; Hong Huang 001; Zihan Luo 001; Wei Zhou; Xue Lin 005; Mingqi Wu; Chaozhuo Li; Xing Xie 001; Hai Jin 001 (WWW, 2023)

ConvFormer: Revisiting Transformer for Sequential User Modeling. - Hao Wang 049; Jianxun Lian; Mingqi Wu; Haoxuan Li 001; Jiajun Fan; Wanyue Xu; Chaozhuo Li; Xing Xie 001 (CoRR, 2023)

Aligning Language Models for Versatile Text-based Item Retrieval. - Yuxuan Lei; Jianxun Lian; Jing Yao; Mingqi Wu; Defu Lian; Xing Xie 001 (WWW (Companion Volume), 2024)

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 (ACL (1), 2025)

Ensemble Linear Interpolators: The Role of Ensembling. - Mingqi Wu; Qiang Sun (SIAM J. Math. Data Sci., 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 001; Xuanjing Huang 001 (CoRR, 2025)

Avoid Recommending Out-of-Domain Items: Constrained Generative Recommendation with LLMs. - Hao Liao; Wensheng Lu; Jianxun Lian; Mingqi Wu; Shuo Wang; Yong Zhang 002; Yitian Huang; Ming-Yang Zhou 001; Xing Xie 001 (CoRR, 2025)

Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination. - Mingqi Wu; Zhihao Zhang 002; Qiaole Dong; Zhiheng Xi; Jun Zhao 019; Senjie Jin; Xiaoran Fan; Yuhao Zhou; Yanwei Fu 001; Qin Liu 010; Songyang Zhang; Qi Zhang 001 (CoRR, 2025)

LLMEval-3: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models. - Ming Zhang 030; Yujiong Shen; Jingyi Deng; Yuhui Wang; Yue Zhang 004; Junzhe Wang; Shichun Liu; Shihan Dou; Huayu Sha; Qiyuan Peng; Changhao Jiang; Jingqi Tong; et al. (CoRR, 2025)