Continuous piecewise linear programming via concave optimization and genetic algorithm. - Xiangming Xi; Jun Xu 008; Xiaomu Mu; Shuning Wang (CDC, 2012)

Optimization based on adaptive hinging hyperplanes and genetic algorithm. - Jun Xu 008; Xiangming Xi; Shuning Wang (IEEE Congress on Evolutionary Computation, 2014)

Method of hill tunneling via simplex centroid for continuous piecewise linear programming. - Zhiming Xu; Kuangyu Liu; Xiangming Xi; Shuning Wang (CDC, 2015)

Sparse signal reconstruction via concave continuous piecewise linear programming. - Kuangyu Liu; Zhiming Xu; Xiangming Xi; Shuning Wang (Digit. Signal Process., 2016)

Coordinate Descent Algorithm for Ramp Loss Linear Programming Support Vector Machines. - Xiangming Xi; Xiaolin Huang; Johan A. K. Suykens; Shuning Wang (Neural Process. Lett., 2016)

Multiple Gaussian graphical estimation with jointly sparse penalty. - Qinghua Tao; Xiaolin Huang; Shuning Wang; Xiangming Xi; Li Li 013 (Signal Process., 2016)

Genetic Algorithm based Global optimization of VaR. - Xiangming Xi; Yu Bai; Shuning Wang; Yunjiang Lou (ICCA, 2019)

Log-sum-exp Optimization based on Continuous Piecewise Linearization Techniques. - Xiangming Xi; Jun Xu 008; Yunjiang Lou (ICCA, 2020)

Efficient hinging hyperplanes neural network and its application in nonlinear system identification. - Jun Xu 008; Qinghua Tao; Zhen Li 032; Xiangming Xi; Johan A. K. Suykens; Shuning Wang (Autom., 2020)

Sparse FIR Filter Design With k-Max Sparsity and Peak Error Constraints. - Xiangming Xi; Yunjiang Lou (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Independent Relationship Detection for Real-Time Scene Graph Generation. - Tianlei Jin; Wen Wang 017; Shiqiang Zhu; Xiangming Xi; Qiwei Meng; Zonghao Mu; Wei Song 008 (ICONIP (4), 2022)

A Multi-modal Behavior Planning Framework for Guide Robot. - Zonghao Mu; Wei Fang; Shiqiang Zhu; Tianlei Jin; Wei Song 008; Xiangming Xi; Qiulan Huang; Jason Gu; Songyu Yuan (ROBIO, 2022)

Robot Planning based on Behavior Tree and Knowledge Graph. - Yuanhai Zhou; Shiqiang Zhu; Wei Song 008; Jianjun Gu 001; Jie Ren; Xiangming Xi; Tianlei Jin; Zonghao Mu (ROBIO, 2022)

Piecewise Linear Neural Networks and Deep Learning. - Qinghua Tao; Li Li 013; Xiaolin Huang; Xiangming Xi; Shuning Wang; Johan A. K. Suykens (CoRR, 2022)

Fast Contextual Scene Graph Generation with Unbiased Context Augmentation. - Tianlei Jin; Fangtai Guo; Qiwei Meng; Shiqiang Zhu; Xiangming Xi; Wen Wang 017; Zonghao Mu; Wei Song 008 (CVPR, 2023)

KGGPT: Empowering Robots with OpenAI's ChatGPT and Knowledge Graph. - Zonghao Mu; Wenyu Zhao; Yue Yin; Xiangming Xi; Wei Song 008; Jason Gu; Shiqiang Zhu (ICIRA (5), 2023)

ChatGPT for Robotics: A New Approach to Human-Robot Interaction and Task Planning. - Bing Xie; Xiangming Xi; Xinan Zhao; Yuhan Wang; Wei Song 008; Jianjun Gu 001; Shiqiang Zhu (ICIRA (5), 2023)

A comprehensive review of task understanding of command-triggered execution of tasks for service robots. - Xiangming Xi; Shiqiang Zhu (Artif. Intell. Rev., 2023)

B2C-AFM: Bi-Directional Co-Temporal and Cross-Spatial Attention Fusion Model for Human Action Recognition. - Fangtai Guo; Tianlei Jin; Shiqiang Zhu; Xiangming Xi; Wen Wang 017; Qiwei Meng; Wei Song 008; Jiakai Zhu (IEEE Trans. Image Process., 2023)

Sparsity via Sparse Group k-max Regularization. - Qinghua Tao; Xiangming Xi; Jun Xu 008; Johan A. K. Suykens (ACC, 2024)

Multi-Objective Trajectory Planning with Dual-Encoder. - Beibei Zhang; Tian Xiang; Chentao Mao; Yuhua Zheng; Shuai Li; Haoyi Niu; Xiangming Xi; Wenyuan Bai; Feng Gao (CoRR, 2024)

Modeling Output-Level Task Relatedness in Multi-Task Learning with Feedback Mechanism. - Xiangming Xi; Feng Gao; Jun Xu 008; Fangtai Guo; Tianlei Jin (CoRR, 2024)