The WISTON Text to Speech System for Blizzard 2008. - Jianhua Tao 001; Jian Yu 005; Lixing Huang; Fangzhou Liu; Huibin Jia; Meng Zhang (Blizzard Challenge, 2008)

Tree-guided transformation-based homograph disambiguation in Mandarin TTS system. - Fangzhou Liu; Qin Shi; Jianhua Tao 001 (ICASSP, 2008)

A Maximum Entropy Based Hierarchical Model for Automatic Prosodic Boundary Labeling in Mandarin. - Fangzhou Liu; Huibin Jia; Jianhua Tao 001 (ISCSLP, 2008)

Navigating a 3D avatar using a single switch. - Eelke Folmer; Fangzhou Liu; Barrie Ellis (FDG, 2011)

Automatic Feature Template Generation for Prosodic Phrasing. - Fangzhou Liu; You Zhou (J. Softw., 2012)

Setpoints compensation in industrial processes via multirate output feedback control. - Shen Yin; Fangzhou Liu; Huijun Gao; Jianbin Qiu; Tianyou Chai; Jialu Fan; Hamid Reza Karimi (ASCC, 2013)

A distributed control law with guaranteed convergence rate for identically coupled linear systems. - Qingling Wang; Changbin Yu; Huijun Gao; Fangzhou Liu (ECC, 2013)

Asymptotic stability of bidirectional associative memory neural networks with time-varying delays via delta operator approach. - Zhengli Zhao; Fangzhou Liu; Xiaochen Xie; Xiaohui Liu 001; Zhenmin Tang (Neurocomputing, 2013)

Fault detection of discrete-time switched systems with distributed delays: input-output approach. - Jinyong Yu; Fangzhou Liu; Xiaoxi Yu; Chunfeng Wu; Ligang Wu 001 (Int. J. Syst. Sci., 2013)

Sliding mode control of discrete-time switched systems with time-delay. - Xiaoxi Yu; Chunfeng Wu; Fangzhou Liu; Ligang Wu 001 (J. Frankl. Inst., 2013)

Integrated Network-Based Model Predictive Control for Setpoints Compensation in Industrial Processes. - Tianyou Chai; Lin Zhao 009; Jianbin Qiu; Fangzhou Liu; Jialu Fan (IEEE Trans. Ind. Informatics, 2013)

Setpoints compensation for nonlinear industrial processes with disturbances based on fuzzy logic control. - Huijun Gao; Fangzhou Liu; Tong Wang 003; Shen Yin (IECON, 2014)

Networked Multirate Output Feedback Control for Setpoints Compensation and Its Application to Rougher Flotation Process. - Fangzhou Liu; Huijun Gao; Jianbin Qiu; Shen Yin; Jialu Fan; Tianyou Chai (IEEE Trans. Ind. Electron., 2014)

Linear Feature Sensibility for Output Partitioning in Ordered Neural Incremental Attribute Learning. - Ting Wang 011; Sheng-Uei Guan; Jieming Ma; Fangzhou Liu (IScIDE (2), 2015)

Neural Incremental Attribute Learning in Groups. - Fangzhou Liu; Ting Wang 011; Sheng-Uei Guan; Ka Lok Man (Int. J. Comput. Intell. Syst., 2015)

Node-based SIRS model on heterogeneous networks: Analysis and control. - Fangzhou Liu; Martin Buss (ACC, 2016)

Optimal control for information diffusion over heterogeneous networks. - Fangzhou Liu; Martin Buss (CDC, 2016)

Integrated feature preprocessing for classification based on neural incremental attribute learning. - Ting Wang 011; Wei Zhou; Xiaoyan Zhu; Fangzhou Liu; Sheng-Uei Guan (FUSION, 2016)

Prediction and bounds on shared cache demand from memory access interleaving. - Jacob Brock; Chen Ding 001; Rahman Lavaee; Fangzhou Liu; Liang Yuan (ISMM, 2018)

Footprint modeling of cache associativity and granularity. - Hao Luo 007; Guoyang Chen; Fangzhou Liu; Pengcheng Li 001; Chen Ding 001; Xipeng Shen (MEMSYS, 2018)

Locality analysis through static parallel sampling. - Dong Chen 015; Fangzhou Liu; Chen Ding 001; Sreepathi Pai (PLDI, 2018)

Effect of Binding and Dispersion Behavior of High-Entropy Alloy (HEA) Powders on the Microstructure and Mechanical Properties in a Novel HEA/Diamond Composite. - Mingyang Zhang 008; Wei Zhang; Fangzhou Liu; Yingbo Peng; Songhao Hu; Yong Liu (Entropy, 2018)

A hybrid machine learning and computing model for forecasting displacement of multifactor-induced landslides. - Xing Zhu; Qiang Xu; Minggao Tang; Huajin Li; Fangzhou Liu (Neural Comput. Appl., 2018)

Statistical caching for near memory management. - Dong Chen 015; Fangzhou Liu; Mingyang Jiao; Chen Ding 001; Sreepathi Pai (MEMSYS, 2019)

Effect of Ti/Ni Coating of Diamond Particles on Microstructure and Properties of High-Entropy Alloy/Diamond Composites. - Wei Zhang; Mingyang Zhang 008; Yingbo Peng; Fangzhou Liu; Yong Liu; Songhao Hu; Yang Hu (Entropy, 2019)

Polarizability, Consensusability, and Neutralizability of Opinion Dynamics on Coopetitive Networks. - Fangzhou Liu; Dong Xue; Sandra Hirche; Martin Buss (IEEE Trans. Autom. Control., 2019)

PLUM: static parallel program locality analysis under uniform multiplexing. - Fangzhou Liu; Dong Chen 015; Wesley Smith; Chen Ding 001 (PPoPP, 2020)

On the Stability of the Endemic Equilibrium of A Discrete-Time Networked Epidemic Model. - Fangzhou Liu; Shaoxuan Cui; Xianwei Li 001; Martin Buss (CoRR, 2020)

Online single artificial neural network adaptive critic learning under additive disturbance, state constraints and input saturation. - Cong Li; Fangzhou Liu; Zhehua Zhou; Martin Buss (CoRR, 2020)

Distributed Link Removal Strategy for Networked Meta-Population Epidemics and its Application to the Control of the COVID-19 Pandemic. - Fangzhou Liu; Yuhong Chen; Tong Liu; Zibo Zhou; Dong Xue; Martin Buss (CoRR, 2020)

Off Policy Risk Sensitive Reinforcement Learning Based Optimal Tracking Control with Prescribe Performances. - Cong Li; Yongchao Wang; Fangzhou Liu; Martin Buss (CoRR, 2020)

A Semi-Supervised Learning Approach for Identification of Piecewise Affine Systems. - Yingwei Du; Fangzhou Liu; Jianbin Qiu; Martin Buss (IEEE Trans. Circuits Syst., 2020)

Fully Distributed Consensus Control for Linear Multiagent Systems: A Reduced-Order Adaptive Feedback Approach. - Xianwei Li 001; Fangzhou Liu; Martin Buss; Sandra Hirche (IEEE Trans. Control. Netw. Syst., 2020)

Optimal Control for Heterogeneous Node-Based Information Epidemics Over Social Networks. - Fangzhou Liu; Martin Buss (IEEE Trans. Control. Netw. Syst., 2020)

Distributed Link Removal Strategy for Networked Meta-Population Epidemics and Its Application to the Control of the COVID-19 Pandemic. - Fangzhou Liu; Yuhong Chen; Tong Liu; Dong Xue; Martin Buss (CDC, 2021)

Uniform lease vs. LRU cache: analysis and evaluation. - Dong Chen 015; Chen Ding 001; Fangzhou Liu; Benjamin Reber; Wesley Smith; Pengcheng Li 001 (ISMM, 2021)

Optimal filtering and control of network information epidemics. - Fangzhou Liu; Zengjie Zhang; Martin Buss (Autom., 2021)

Model-Free Incremental Adaptive Dynamic Programming Based Approximate Robust Optimal Regulation. - Cong Li; Yongchao Wang; Fangzhou Liu; Qingchen Liu; Martin Buss (CoRR, 2021)

Instantaneous Local Control Barrier Function: An Online Learning Approach for Collision Avoidance. - Cong Li; Zengjie Zhang; Ahmed Nesrin; Qingchen Liu; Fangzhou Liu; Martin Buss (CoRR, 2021)

FedXGBoost: Privacy-Preserving XGBoost for Federated Learning. - Nhan Khanh Le; Yang Liu 125; Quang Minh Nguyen; Qingchen Liu; Fangzhou Liu; Quanwei Cai 003; Sandra Hirche (CoRR, 2021)

Incremental Adaptive Dynamic Programming for Approximate Optimal Tracking Control: a Decoupled and Model-Free Approach. - Cong Li; Yongchao Wang; Fangzhou Liu; Martin Buss (CoRR, 2021)

Interplay Between Homophily-Based Appraisal Dynamics and Influence-Based Opinion Dynamics: Modeling and Analysis. - Fangzhou Liu; Shaoxuan Cui; Wenjun Mei; Florian Dörfler; Martin Buss (IEEE Control. Syst. Lett., 2021)

Deep Learning in Forest Structural Parameter Estimation Using Airborne LiDAR Data. - Hao Liu 048; Xin Shen 002; Lin Cao 001; Ting Yun; Zhengnan Zhang; Xiaoyao Fu; Xinxin Chen; Fangzhou Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Online Identification of Piecewise Affine Systems Using Integral Concurrent Learning. - Yingwei Du; Fangzhou Liu; Jianbin Qiu; Martin Buss (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Research on classification method of business requirement text based on deep learning. - Weibin Ding; Shaojun Jin; Yan Ren; Fangzhou Liu (ICCSIE, 2022)

Indirect Adaptive Control of Piecewise Affine Systems Without Common Lyapunov Functions. - Tong Liu; Fangzhou Liu; Martin Buss (IEEE Control. Syst. Lett., 2022)

CARL: Compiler Assigned Reference Leasing. - Chen Ding 001; Dong Chen 015; Fangzhou Liu; Benjamin Reber; Wesley Smith (ACM Trans. Archit. Code Optim., 2022)

Concurrent Learning-Based Adaptive Control of an Uncertain Robot Manipulator With Guaranteed Safety and Performance. - Cong Li; Fangzhou Liu; Yongchao Wang; Martin Buss (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Concurrent Sign-off Timing Optimization via Deep Steiner Points Refinement. - Siting Liu 002; Ziyi Wang 010; Fangzhou Liu; Yibo Lin; Bei Yu 001; Martin D. F. Wong (DAC, 2023)

AlphaSyn: Logic Synthesis Optimization with Efficient Monte Carlo Tree Search. - Zehua Pei; Fangzhou Liu; Zhuolun He; Guojin Chen; Haisheng Zheng; Keren Zhu 001; Bei Yu 001 (ICCAD, 2023)

Simultaneous Recursive Identification of Parameters and Switching Manifolds Identification of Discrete-Time Switched Linear Systems. - Zengjie Zhang; Yingwei Du; Tong Liu; Fangzhou Liu; Martin Buss (CoRR, 2023)

General SIS diffusion process with indirect spreading pathways on a hypergraph. - Shaoxuan Cui; Fangzhou Liu; Hildeberto Jardón-Kojakhmetov; Ming Cao 001 (CoRR, 2023)

A Persistent-Excitation-Free Method for System Disturbance Estimation Using Concurrent Learning. - Zengjie Zhang; Fangzhou Liu; Tong Liu; Jianbin Qiu; Martin Buss (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

Off-Policy Risk-Sensitive Reinforcement Learning-Based Constrained Robust Optimal Control. - Cong Li; Qingchen Liu; Zhehua Zhou; Martin Buss; Fangzhou Liu (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Cache Programming for Scientific Loops Using Leases. - Benjamin Reber; Matthew Gould; Alexander H. Kneipp; Fangzhou Liu; Ian Prechtl; Chen Ding 001; Linlin Chen; Dorin Patru (ACM Trans. Archit. Code Optim., 2023)

Safe Feedback Motion Planning in Unknown Environments: An Instantaneous Local Control Barrier Function Approach. - Cong Li; Zengjie Zhang; Ahmed Nesrin; Qingchen Liu; Fangzhou Liu; Martin Buss (J. Intell. Robotic Syst., 2023)

Parallel Loop Locality Analysis for Symbolic Thread Counts. - Fangzhou Liu; Yifan Zhu 003; Shaotong Sun; Chen Ding 001; Wesley Smith; Kaave Seyed Hosseini (PACT, 2024)

The Offline Quantum Attack Against Modular Addition Variant of Even-Mansour Cipher. - Fangzhou Liu; Xueqi Zhu; Ruozhou Xu; Danping Shi; Peng Wang 009 (ACISP (1), 2024)

LSTP: A Logic Synthesis Timing Predictor. - Haisheng Zheng; Zhuolun He; Fangzhou Liu; Zehua Pei; Bei Yu 001 (ASPDAC, 2024)

Lesyn: Placement-aware Logic Resynthesis for Non-Integer Multiple-Cell-Height Designs. - Yuan Pu 001; Fangzhou Liu; Yu Zhang 189; Zhuolun He; Yibo Lin; Kai-Yuan Chao; Bei Yu 001 (DAC, 2024)

Disentangle, Align and Generalize: Learning A Timing Predictor from Different Technology Nodes. - Xinyun Zhang; Binwu Zhu; Fangzhou Liu; Ziyi Wang 010; Peng Xu; Hong Xu 001; Bei Yu 001 (DAC, 2024)

CBTune: Contextual Bandit Tuning for Logic Synthesis. - Fangzhou Liu; Zehua Pei; Ziyang Yu 001; Haisheng Zheng; Zhuolun He; Tinghuan Chen; Bei Yu 001 (DATE, 2024)

Bio-RFX: Refining Biomedical Extraction via Advanced Relation Classification and Structural Constraints. - Minjia Wang; Fangzhou Liu; Xiuxing Li; Bowen Dong; Zhenyu Li; Tengyu Pan; Jianyong Wang 001 (EMNLP, 2024)

Incremental Model Predictive Control for Velocity-Controlled Robot Manipulators. - Yongchao Wang; Hengrui Li; Cong Li; Fangzhou Liu (IECON, 2024)

Multi-Electrostatics Based Placement for Non-Integer Multiple-Height Cells. - Yu Zhang 189; Yuan Pu 001; Fangzhou Liu; Peiyu Liao; Kai-Yuan Chao; Keren Zhu 001; Yibo Lin; Bei Yu 001 (ISPD, 2024)

Modeling, analysis, and manipulation of co-evolution between appraisal dynamics and opinion dynamics. - Fangzhou Liu; Shaoxuan Cui; Ge Chen 001; Wenjun Mei; Huijun Gao (Autom., 2024)

HMPA: a pioneering framework for the noncanonical peptidome from discovery to functional insights. - Xinwan Su; Chengyu Shi; Fangzhou Liu; Manman Tan; Ying Wang; Linyu Zhu; Yu Chen; Meng Yu; Xinyi Wang; Jian Liu; Yang Liu; Weiqiang Lin; et al. (Briefings Bioinform., 2024)

Decentralized Event-Triggered Online Learning for Safe Consensus of Multi-Agent Systems with Gaussian Process Regression. - Xiaobing Dai; Zewen Yang; Mengtian Xu; Fangzhou Liu; Georges Hattab; Sandra Hirche (CoRR, 2024)

Discrete-time SIS Social Contagion Processes on Hypergraphs. - Lidan Liang; Shaoxuan Cui; Fangzhou Liu (CoRR, 2024)

Coevolution of Opinion Dynamics and Recommendation System: Modeling Analysis and Reinforcement Learning Based Manipulation. - Yuhong Chen; Xiaobing Dai; Martin Buss; Fangzhou Liu (CoRR, 2024)

On a Discrete-Time Networked Epidemic Model With Time-Varying Heterogeneous Delays. - Fangzhou Liu; Lei Shi 012; Jinliang Shao; Qingchen Liu (IEEE Control. Syst. Lett., 2024)

Decentralized event-triggered online learning for safe consensus control of multi-agent systems with Gaussian process regression. - Xiaobing Dai; Zewen Yang; Mengtian Xu; Sihua Zhang; Fangzhou Liu; Georges Hattab; Sandra Hirche (Eur. J. Control, 2024)

SIGKD: A Structured Instance Graph Distillation Method for Efficient Object Detection in Remote Sensing Images. - Fangzhou Liu; Wenzhe Zhao; Haoxiang Qi; Guangyao Zhou (Remote. Sens., 2024)

Discrete-time layered-network epidemics model with time-varying transition rates and multiple resources. - Shaoxuan Cui; Fangzhou Liu; Hildeberto Jardón-Kojakhmetov; Ming Cao 001 (Autom., 2024)

Adaptive Observer for a Class of Systems With Switched Unknown Parameters Using DREM. - Tong Liu; Zengjie Zhang; Fangzhou Liu; Martin Buss (IEEE Trans. Autom. Control., 2024)

A Networked Meta-Population Epidemic Model with Population Flow and Its Application to the Prediction of the COVID-19 Pandemic. - Dong Xue; Naichao Liu; Xinyi Chen; Fangzhou Liu (Entropy, 2024)

A Novel Method for Identifying Landslide Surface Deformation via the Integrated YOLOX and Mask R-CNN Model. - Chenhui Wan; Jianjun Gan; Anbang Chen; Prabin Acharya; Fenghui Li; Wenjie Yu; Fangzhou Liu (Int. J. Comput. Intell. Syst., 2024)

Correction: A Novel Method for Identifying Landslide Surface Deformation via the Integrated YOLOX and Mask R-CNN Model. - Chenghui Wan; Jianjun Gan; Anbang Chen; Prabin Acharya; Fenghui Li; Wenjie Yu; Fangzhou Liu (Int. J. Comput. Intell. Syst., 2024)

HeLO: A Heterogeneous Logic Optimization Framework by Hierarchical Clustering and Graph Learning. - Yuan Pu 001; Fangzhou Liu; Zhuolun He; Keren Zhu 001; Rongliang Fu; Ziyi Wang 010; Tsung-Yi Ho; Bei Yu 001 (ISPD, 2025)

GraphCAD: Leveraging Graph Neural Networks for Accuracy Prediction Handling Crosstalk-affected Delays. - Fangzhou Liu; Guannan Guo; Yuyang Ye 001; Ziyi Wang 010; Wenjie Fu 003; Weihua Sheng; Bei Yu 001 (ISPD, 2025)

A Weighted Bipolar Argumentation Framework and Its ASP-Based Implementation. - Yan Yan; Junru Li; Fangzhou Liu; Zerong Wang; Zhizheng Zhang 002 (PADL, 2025)

An SIS diffusion process with direct and indirect spreading on a hypergraph. - Shaoxuan Cui; Fangzhou Liu; Lidan Liang; Hildeberto Jardón-Kojakhmetov; Ming Cao 001 (Autom., 2025)

Distributed Coverage Control of Constrained Constant-Speed Unicycle Multi-Agent Systems. - Qingchen Liu; Zengjie Zhang; Nhan Khanh Le; Jiahu Qin; Fangzhou Liu; Sandra Hirche (IEEE Trans Autom. Sci. Eng., 2025)

Modeling propagation competition between hostile influential groups using opinion dynamics. - Yuhong Chen; Cong Li; Fangzhou Liu; Martin Buss (Autom., 2025)

Sign-Off Timing Considerations via Concurrent Routing Topology Optimization. - Siting Liu 002; Ziyi Wang 010; Fangzhou Liu; Yibo Lin; Bei Yu 001; Martin D. F. Wong (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

An Enhanced Privacy-preserving Federated Few-shot Learning Framework for Respiratory Disease Diagnosis. - Ming Wang; Zhaoyang Duan; Dong Xue; Fangzhou Liu; Zhongheng Zhang (CoRR, 2025)

Prerouting Timing Prediction Across Different Technology Nodes. - Xinyun Zhang; Binwu Zhu; Fangzhou Liu; Jiaxi Jiang; Ziyi Wang 010; Peng Xu; Hong Xu 001; Bei Yu 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

Doctor Sun: A Bilingual Multimodal Large Language Model for Biomedical AI. - Dong Xue; Ziyao Shao; Zhaoyang Duan; Fangzhou Liu; Bing Li; Zhongheng Zhang (CoRR, 2025)

Cryptanalysis of IAR-CTR and IAR-CFB and a fixing method. - Xueqi Zhu; Fangzhou Liu; Yan Jia; Jun Xu; Peng Wang 009 (Cybersecur., 2025)