Optimal energy cost in ideal internal thermally coupled distillation columns. - Xinggao Liu; Yongmao Xu; Jie Zhang 005; Jixin Qian (ACC, 2002)

Melt Index Predict by Radial Basis Function Network Based on Principal Component Analysis. - Xinggao Liu; Zhengbing Yan 002 (IDEAL, 2006)

Product Quality Prediction with Support Vector Machines. - Xinggao Liu (ISNN (2), 2006)

Product quality prediction by a neural soft-sensor based on MSA and PCA. - Jian Shi; Xinggao Liu (Int. J. Autom. Comput., 2006)

Melt index prediction by neural networks based on independent component analysis and multi-scale analysis. - Jian Shi; Xinggao Liu; Youxian Sun (Neurocomputing, 2006)

Least-squares based iterative parameter estimation for two-input multirate sampled-data systems. - Jing Lu; Xinggao Liu; Feng Ding 001 (ACC, 2009)

Least squares based iterative identification for a class of multirate systems. - Xinggao Liu; Jing Lu (Autom., 2010)

Hierarchical least-squares based iterative identification for multivariable systems with moving average noises. - Heqiang Han; Li Xie; Feng Ding 001; Xinggao Liu (Math. Comput. Model., 2010)

Hierarchical gradient based iterative parameter estimation algorithm for multivariable output error moving average systems. - Zhening Zhang; Feng Ding 001; Xinggao Liu (Comput. Math. Appl., 2011)

Melt index prediction by RBF neural network optimized with an MPSO-SA hybrid algorithm. - Jiubao Li; Xinggao Liu (Neurocomputing, 2011)

Melt index prediction using optimized least squares support vector machines based on hybrid particle swarm optimization algorithm. - Huaqin Jiang; Zhengbing Yan 002; Xinggao Liu (Neurocomputing, 2013)

Melt index prediction by fuzzy functions with dynamic fuzzy neural networks. - Senqi Xu; Xinggao Liu (Neurocomputing, 2014)

Melt index prediction by aggregated RBF neural networks trained with chaotic theory. - Zeyin Zhang; Ting Wang; Xinggao Liu (Neurocomputing, 2014)

Characterization of chaotic multiscale features on the time series of melt index in industrial propylene polymerization system. - Ting Wang; Xinggao Liu; Zeyin Zhang (J. Frankl. Inst., 2014)

A Novel Penalty Approach for Nonlinear Dynamic Optimization Problems With Inequality Path Constraints. - Xinggao Liu; Yunqing Hu; Jianghua Feng; Kean Liu (IEEE Trans. Autom. Control., 2014)

Optimal online soft sensor for product quality monitoring in propylene polymerization process. - Zhong Cheng; Xinggao Liu (Neurocomputing, 2015)

Comments on "Optimal Use of Mixed Catalysts for Two Successive Chemical Reactions". - Guodong Li; Xinggao Liu (J. Optim. Theory Appl., 2015)

A sparse probabilistic approach with chaotic artificial bee colony optimization for sea clutter soft computing. - Yuanmeng Sun; Xinggao Liu; Zeyin Zhang; Zhicheng Wang; Yusheng Yu; Tianjian Zhang; Yu Zhu; Zhengji Song (Appl. Soft Comput., 2016)

A novel fault diagnosis method based on optimal relevance vector machine. - Shiming He; Long Xiao; Yalin Wang 003; Xinggao Liu; Chunhua Yang 001; Jiangang Lu; Weihua Gui 001; Youxian Sun (Neurocomputing, 2017)

A novel APSO-aided weighted LSSVM method for nonlinear hammerstein system identification. - Liang Ma 004; Xinggao Liu (J. Frankl. Inst., 2017)

Empirical mode decomposition-based time grid refinement optimization approach for optimal control problems. - Ping Liu; Xinggao Liu (Optim. Lett., 2017)

A novel effective diagnosis model based on optimized least squares support machine for gene microarray. - Xinteng Gao; Xinggao Liu (Appl. Soft Comput., 2018)

An effective pseudospectral method for constraint dynamic optimisation problems with characteristic times. - Long Xiao; Xinggao Liu; Liang Ma 004; Zeyin Zhang (Int. J. Control, 2018)

Parameter Self-Tuning of SISO Compact-Form Model-Free Adaptive Controller based on Neural Network with System Error Set as Input. - Chen Chen 052; Xueyuan Li; Ye Yang; Jiarong Xu; Zuwei Liao; Xinggao Liu; Jinshui Chen; Jiangang Lu (ASCC, 2019)

A PSO-LP Cooperative Algorithm for Mixed Integer Nonlinear Programming. - Ye Yang; Jinhou Han; Chen Chen 052; Jiarong Xu; Zuwei Liao; Xinggao Liu; Jinshui Chen; Jiangang Lu (ASCC, 2019)

A robust reliability prediction method using Weighted Least Square Support Vector Machine equipped with Chaos Modified Particle Swarm Optimization and Online Correcting Strategy. - Xinggao Liu; Youzhi Gu; Shuting He; Zhipeng Xu; Zeyin Zhang (Appl. Soft Comput., 2019)

Control variable parameterisation with penalty approach for hypersonic vehicle reentry optimisation. - Ping Liu; Xinggao Liu; Ping Wang 008; Guodong Li; Long Xiao; Jie Yan; Zhang Ren (Int. J. Control, 2019)

Ship detection based on squeeze excitation skip-connection path networks for optical remote sensing images. - Guoquan Huang 002; Zining Wan; Xinggao Liu; Junpeng Hui; Ze Wang; Zeyin Zhang (Neurocomputing, 2019)

A novel modeling approach and its application in polymer quality index prediction. - Miao Zhang; Xinggao Liu; Zeyin Zhang; Guangbi Gong; Guoqing Zhang; Changjun Zhang; Xu Chen; Hongxing Zhang (Trans. Inst. Meas. Control, 2019)

The Dilemma of TriHard Loss and an Element-Weighted TriHard Loss for Person Re-Identification. - Yihao Lv; Youzhi Gu; Xinggao Liu (NeurIPS, 2020)

A novel intrusion detection system based on an optimal hybrid kernel extreme learning machine. - Lu Lv; Wenhai Wang; Zeyin Zhang; Xinggao Liu (Knowl. Based Syst., 2020)

A novel adaptive generic model control strategy for internal thermally coupled air separation columns with multivariable recursive estimation. - Ja'afar Sulaiman Zangina; Wenhai Wang; Weizhong Qin; Weihua Gui 001; Youxian Sun; Shenghu Xu; Chunhua Yang 001; Daoxiong Xie; Yalin Wang 003; Xinggao Liu (Comput. Chem. Eng., 2021)

Analyze and Design Network Architectures by Recursion Formulas. - Yilin Liao; Hao Wang; Zhaoran Liu; Haozhe Li; Xinggao Liu (CoRR, 2021)

An empirical evaluation of attention-based multi-head models for improved turbofan engine remaining useful life prediction. - Abiodun Ayodeji; Wenhai Wang; Jianzhong Su; Jianquan Yuan; Xinggao Liu (CoRR, 2021)

Analytical sensitivity computation using collocation method with non-uniform mesh discretisation for numerical solutions of optimal control problems. - Xinggao Liu; Long Xiao; Lu Lv; Ping Liu; Guoqiang Xu; Zongzhun Zheng; Sen Wang (Int. J. Control, 2021)

A novel non-uniform optimal control approach for hypersonic cruise vehicle with waypoint and no-fly zone constraints. - Lu Lv; Xinggao Liu; Long Xiao; Weihua Ma; Zhenqiang Qi; Song Ye; Guoqiang Xu; Zongzhun Zheng; Sen Wang; Zeyin Zhang (Int. J. Syst. Sci., 2021)

Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications. - Hao Wang 049; Zhichao Chen 001; Jiajun Fan; Yuxin Huang 007; Weiming Liu 005; Xinggao Liu (CoRR, 2022)

A novel locality-sensitive hashing relational graph matching network for semantic textual similarity measurement. - Haozhe Li; Wenhai Wang; Zhaoran Liu; Yunlong Niu; Hao Wang; Shunping Zhao; Yilin Liao; Weigeng Yang; Xinggao Liu (Expert Syst. Appl., 2022)

Density Peak Clustering with connectivity estimation. - Wenjie Guo; Wenhai Wang; Shunping Zhao; Yunlong Niu; Zeyin Zhang; Xinggao Liu (Knowl. Based Syst., 2022)

Dynamic multi-swarm differential learning harris hawks optimizer and its application to optimal dispatch problem of cascade hydropower stations. - Junfeng Liu 003; Xinggao Liu; Yun Wu; Zhe Yang 016; Jian Xu (Knowl. Based Syst., 2022)

A Novel Aggregated Multipath Extreme Gradient Boosting Approach for Radar Emitter Classification. - Shiqiang Zhao; Wenhai Wang; Deguo Zeng; Xinwei Chen; Zeyin Zhang; Fuyuan Xu; Xuanyu Mao; Xinggao Liu (IEEE Trans. Ind. Electron., 2022)

AttentionMixer: An Accurate and Interpretable Framework for Process Monitoring. - Hao Wang; Zhiyu Wang; Yunlong Niu; Zhaoran Liu; Haozhe Li; Yilin Liao; Yuxin Huang; Xinggao Liu (CoRR, 2023)

TMoE-P: Towards the Pareto Optimum for Multivariate Soft Sensors. - Licheng Pan; Hao Wang 049; Zhichao Chen 001; Yuxing Huang; Xinggao Liu (CoRR, 2023)

Modeling Task Relationships in Multi-variate Soft Sensor with Balanced Mixture-of-Experts. - Yuxin Huang; Hao Wang; Zhaoran Liu; Licheng Pan; Haozhe Li; Xinggao Liu (CoRR, 2023)

A Novel Time-Domain Graph Tensor Attention Network for Specific Emitter Identification. - Haozhe Li; Yilin Liao; Wenhai Wang; Junpeng Hui; Jiaqi Liu; Xinggao Liu (IEEE Trans. Instrum. Meas., 2023)

Modeling Task Relationships in Multivariate Soft Sensor With Balanced Mixture-of-Experts. - Yuxin Huang 007; Eric Hao Wang; Zhaoran Liu; Licheng Pan; Haozhe Li; Xinggao Liu (IEEE Trans. Ind. Informatics, 2023)

A novel radar operating mode identification approach based on variational relevance vector machine with chaotic gravitational search optimization. - Xinjie Chen; Wenhai Wang; Ruping Zou; Zeyin Zhang; Shichao Chen; Jun Wang; Xinggao Liu (Trans. Inst. Meas. Control, 2023)

A novel mesh discretization strategy for numerical solution of optimal control problems in aerospace engineering. - Lu Lv; Long Xiao; Ruping Zou; Wenhai Wang; Shichao Chen; Junpeng Hui; Jiaqi Liu; Xinggao Liu (J. Frankl. Inst., 2023)

A novel pipelined end-to-end relation extraction framework with entity mentions and contextual semantic representation. - Zhaoran Liu; Haozhe Li; Hao Wang 049; Yilin Liao; Xinggao Liu; Gaojie Wu (Expert Syst. Appl., 2023)

Adaptive control arc length-based time grid refinement control parameterisation method for unmanned hypersonic vehicle reentry trajectory optimisation. - Hang Li 003; Ping Liu; Xinggao Liu; Hailong Huang (Int. J. Control, 2023)

Divergence-Guided Simultaneous Speech Translation. - Xinjie Chen; Kai Fan 002; Wei Luo; Linlin Zhang; Libo Zhao; Xinggao Liu; Zhongqiang Huang (AAAI, 2024)

LCCH: A low computational complexity hybrid model based on the half-router attention for biopharmaceutical indicators prediction. - Yichen Song; Chenxi Xia; Simengxu Qiao; Changdi Li; Qunshan He; Xinggao Liu (BIBM, 2024)

Composite Output Feedback Control of Underactuated Overhead Crane Subject to Constraints and Parameter Uncertainties. - Shengzeng Zhang; Xinggao Liu; Michael V. Basin; Haiyue Zhu; Xiaoxiao Mi; Xiongxiong He (IECON, 2024)

Clustering by detecting skeletal structure and identifying density fluctuation. - Wenjie Guo; Wei Chen; Xinggao Liu (Appl. Soft Comput., 2024)

FreDF: Learning to Forecast in Frequency Domain. - Hao Wang 049; Licheng Pan; Zhichao Chen 001; Degui Yang; Sen Zhang 006; Yifei Yang; Xinggao Liu; Haoxuan Li 001; Dacheng Tao (CoRR, 2024)

Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimation. - Hao Wang 049; Zhichao Chen 001; Yuan Shen; Jiajun Fan; Zhaoran Liu; Degui Yang; Xinggao Liu; Haoxuan Li 001 (CoRR, 2024)

Integrating regular expressions into neural networks for relation extraction. - Zhaoran Liu; Xinjie Chen; Hao Wang 049; Xinggao Liu (Expert Syst. Appl., 2024)

Hidformer: Hierarchical dual-tower transformer using multi-scale mergence for long-term time series forecasting. - Zhaoran Liu; Yizhi Cao; Hu Xu; Yuxin Huang 007; Qunshan He; Xinjie Chen; Xiaoyu Tang; Xinggao Liu (Expert Syst. Appl., 2024)

HMT: Hybrid mechanistic Transformer for bio-fabrication prediction under complex environmental conditions. - Yichen Song; Hu Xu; Changdi Li; Qunshan He; Zijian Tian; Xinggao Liu (Expert Syst. Appl., 2024)

Fast Forest Fire Detection and Segmentation Application for UAV-Assisted Mobile Edge Computing System. - Changdi Li; Guangye Li; Yichen Song; Qunshan He; Zijian Tian; Hu Xu; Xinggao Liu (IEEE Internet Things J., 2024)

Density peak clustering by local centers and improved connectivity kernel. - Wenjie Guo; Wei Chen; Xinggao Liu (Inf. Sci., 2024)

Zonotopic estimation for asynchronous switched system with application to missile flight system. - Xiang Ma; Haozhe Li; Xinggao Liu (J. Frankl. Inst., 2024)

On-line data-driven control for uncertain systems based on greedy algorithm. - Jiahui Shen; Xinggao Liu (J. Frankl. Inst., 2024)

DTIN: Dual Transformer-based Imputation Nets for multivariate time series emitter missing data. - Ziyue Sun; Haozhe Li; Wenhai Wang; Jiaqi Liu; Xinggao Liu (Knowl. Based Syst., 2024)

Bidirectional Stackable Recurrent Generative Adversarial Imputation Network for Specific Emitter Missing Data Imputation. - Haozhe Li; Yilin Liao; Zijian Tian; Zhaoran Liu; Jiaqi Liu; Xinggao Liu (IEEE Trans. Inf. Forensics Secur., 2024)

Fast Fourier Transform With Multihead Attention for Specific Emitter Identification. - Yilin Liao; Haozhe Li; Yizhi Cao; Zhaoran Liu; Wenhai Wang; Xinggao Liu (IEEE Trans. Instrum. Meas., 2024)

Semi-supervised contrastive regression for pharmaceutical processes. - Yinlong Li; Yilin Liao; Ziyue Sun; Xinggao Liu (Expert Syst. Appl., 2024)

Gaussian dynamic recurrent unit for emitter classification. - Yilin Liao; Rixin Su; Wenhai Wang; Haozhe Li; Hao Wang; Zhaoran Liu; Xinggao Liu (Expert Syst. Appl., 2024)

An Accurate and Interpretable Framework for Trustworthy Process Monitoring. - Hao Wang 049; Zhiyu Wang; Yunlong Niu; Zhaoran Liu; Haozhe Li; Yilin Liao; Yuxin Huang 007; Xinggao Liu (IEEE Trans. Artif. Intell., 2024)

Causality Enhanced Global-Local Graph Neural Network for Bioprocess Factor Forecasting. - Ziyue Sun; Yinlong Li; Qunshan He; Hu Xu; Wenhai Wang; Xinggao Liu (IEEE Trans. Ind. Informatics, 2024)

Denoising Diffusion Straightforward Models for Energy Conversion Monitoring Data Imputation. - Hu Xu; Zhaoran Liu; Hao Wang 049; Changdi Li; Yunlong Niu; Wenhai Wang; Xinggao Liu (IEEE Trans. Ind. Informatics, 2024)

SPOT-I: Similarity Preserved Optimal Transport for Industrial IoT Data Imputation. - Hao Wang 049; Zhichao Chen 001; Zhaoran Liu; Licheng Pan; Hu Xu; Yilin Liao; Haozhe Li; Xinggao Liu (IEEE Trans. Ind. Informatics, 2024)

FreDF: Learning to Forecast in the Frequency Domain. - Hao Wang 049; Lichen Pan; Yuan Shen; Zhichao Chen 001; Degui Yang; Yifei Yang; Sen Zhang 006; Xinggao Liu; Haoxuan Li 001; Dacheng Tao (ICLR, 2025)

A soft sensor net based on the symplectic decomposition-global attention reconstruction architecture for biopharmaceutical industry. - Simengxu Qiao; Yichen Song; Qunshan He; Shifan Chen; He Zhang; Xinggao Liu (Appl. Soft Comput., 2025)

Reducing overestimation with attentional multi-agent twin delayed deep deterministic policy gradient. - Yizhi Cao; Zijian Tian; Zhaoran Liu; Naizheng Jia; Xinggao Liu (Eng. Appl. Artif. Intell., 2025)

SWAformer: A novel shifted window attention Transformer model for accurate power distribution prediction. - Yizhi Cao; Yilin Liao; Zhaoran Liu; Xiang Ma; Xinggao Liu (Expert Syst. Appl., 2025)

MSPatch: A multi-scale patch mixing framework for multivariate time series forecasting. - Yizhi Cao; Zijian Tian; Wenjie Guo; Xinggao Liu (Expert Syst. Appl., 2025)

Gate-based GWNet for process quality filter and multioutput prediction. - Shifan Chen; Qunshan He; Peiyan Tu; Simengxu Qiao; He Zhang; Xinggao Liu (Expert Syst. Appl., 2025)

Waveformer: A high-precision time-frequency domain model for long-term prediction of electrical power consumption. - Yizhi Cao; Yi Xie; Xianze Zheng; Zijian Tian; Xinggao Liu (Neurocomputing, 2025)

TMoE-P: Toward the Pareto Optimum for Multivariate Soft Sensors. - Licheng Pan; Hao Wang 049; Zhichao Chen 001; Yuxin Huang 007; Zhaoran Liu; Qunshan He; Xinggao Liu (IEEE Trans Autom. Sci. Eng., 2025)

Controllable Mixture-of-Experts for Multivariate Soft Sensors. - Licheng Pan; Hao Wang 049; Zhichao Chen 001; Yuxin Huang 007; Yunlong Niu; Zhaoran Liu; Qunshan He; Xinggao Liu (IEEE Trans Autom. Sci. Eng., 2025)

LSPT-D: Local Similarity Preserved Transport for Direct Industrial Data Imputation. - Hao Wang 049; Xinggao Liu; Zhaoran Liu; Haozhe Li; Yilin Liao; Yuxin Huang 007; Zhichao Chen 001 (IEEE Trans Autom. Sci. Eng., 2025)

Entire Space Counterfactual Learning for Reliable Content Recommendations. - Hao Wang 049; Zhichao Chen 001; Zhaoran Liu; Haozhe Li; Degui Yang; Xinggao Liu; Haoxuan Li 001 (IEEE Trans. Inf. Forensics Secur., 2025)

DeepFilter: An Instrumental Baseline for Accurate and Efficient Process Monitoring. - Hao Wang 049; Zhichao Chen 001; Licheng Pan; Xiaoyu Jiang; Yichen Song; Qunshan He; Xinggao Liu (CoRR, 2025)

Recurrent Neural Unit With Frequency Attention for Specific Emitter Identification. - Yilin Liao; Haozhe Li; Zijian Tian; Zhaoran Liu; Wenhai Wang; Xinggao Liu (IEEE Trans. Cogn. Commun. Netw., 2025)

From Data-Centric to Sample-Centric: Enhancing LLM Reasoning via Progressive Optimization. - Xinjie Chen; Minpeng Liao; Guoxin Chen; Chengxi Li 014; Biao Fu; Kai Fan 002; Xinggao Liu (CoRR, 2025)