Energy Coupon: A Mean Field Game Perspective on Demand Response in Smart Grids. - Jian Li 008; Bainan Xia; Xinbo Geng; Hao Ming; Srinivas Shakkottai; Vijay G. Subramanian; Le Xie 001 (SIGMETRICS, 2015)

Visualization-Based Active Learning for Video Annotation. - Hongsen Liao; Li Chen 031; Yibo Song; Hao Ming (IEEE Trans. Multim., 2016)

EnergyCoupon: A Case Study on Incentive-based Demand Response in Smart Grid. - Bainan Xia; Hao Ming; Ki-Yeob Lee; Yuanyuan Li; Yuqi Zhou; Shantanu Bansal; Srinivas Shakkottai; Le Xie 001 (e-Energy, 2017)

Mean Field Games in Nudge Systems for Societal Networks. - Jian Li 008; Bainan Xia; Xinbo Geng; Hao Ming; Srinivas Shakkottai; Vijay G. Subramanian; Le Xie 001 (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2018)

The Influence of the Threshold of the Size of the Graphic Element on the General Dynamic Gesture Behavior. - Hao Ming; Xiaozhou Zhou; Chengqi Xue; Weiye Xiao; Lesong Jia (IHSED, 2019)

Revenue Inadequacy With Demand Response Providers: A Critical Appraisal. - Hao Ming; Anupam A. Thatte; Le Xie 001 (IEEE Trans. Smart Grid, 2019)

Scenario-Based Economic Dispatch With Uncertain Demand Response. - Hao Ming; Le Xie 001; Marco Claudio Campi; Simone Garatti; P. R. Kumar 001 (IEEE Trans. Smart Grid, 2019)

160-Gb/s Nyquist PAM-4 Transmission with GeSi-EAM using Artificial Neural Network Based Nonlinear Equalization. - Lei Zhang 006; Fan Yang 087; Hao Ming; Yixiao Zhu; Xiaoke Ruan; Yanping Li; Fan Zhang 080 (OFC, 2020)

Multi-objective evolutionary simulated annealing optimisation for mixed-model multi-robotic disassembly line balancing with interval processing time. - Yilin Fang; Hao Ming; Miqing Li; Quan Liu 001; Duc Truong Pham (Int. J. Prod. Res., 2020)

Design of a hybrid model for construction of digital chaos and local synchronization. - Jun Zheng; Hanping Hu; Hao Ming; Yanxia Zhang (Appl. Math. Comput., 2021)

Least product relative error estimation for identification in multiplicative additive models. - Hao Ming; Huilan Liu; Hu Yang 001 (J. Comput. Appl. Math., 2022)

VIDGCN: Embracing input data diversity with a configurable graph convolutional network accelerator. - Hao Ming; Tingting Pan; Dong Chen 015; Chencheng Ye 001; Haikun Liu; Liting Tang; Xiaofei Liao; Hai Jin 001 (J. Syst. Archit., 2023)

One-step sparse estimates in the reverse penalty for high-dimensional correlated data. - Hao Ming; Yinjun Chen; Hu Yang 001 (J. Comput. Appl. Math., 2023)

Design and application of a structure-varying coupled chaotic system with high security. - Hao Ming; Hanping Hu; Jun Zheng (Expert Syst. Appl., 2023)

A fast robust best subset regression. - Hao Ming; Hu Yang 001 (Knowl. Based Syst., 2024)

L0 regularized logistic regression for large-scale data. - Hao Ming; Hu Yang 001 (Pattern Recognit., 2024)

Multi-block alternating direction method of multipliers for ultrahigh dimensional quantile fused regression. - Xiaofei Wu; Hao Ming; Zhimin Zhang 009; Zhenyu Cui (Comput. Stat. Data Anal., 2024)

A Compact Model for Mathematics Problem Representations Distilled from BERT. - Hao Ming; Xinguo Yu; Xiaotian Cheng; Zhenquan Shen; Xiaopan Lyu (AAAI, 2025)

Distributed algorithm for best subset regression. - Hao Ming; Hu Yang 001 (Expert Syst. Appl., 2025)

We Need Knowledge Distillation for Solving Math Word Problems. - Zhenquan Shen; Xinguo Yu; Xiaotian Cheng; Rao Peng; Hao Ming (CoRR, 2025)

Bias-enhanced support detection and root finding approach. - Hao Ming; Hu Yang (Stat. Comput., 2025)