A Data-Level Fusion Model for Developing Composite Health Indices for Degradation Modeling and Prognostic Analysis. - Kaibo Liu; Nagi Gebraeel; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2013)

Adaptive Sensor Allocation Strategy for Process Monitoring and Diagnosis in a Bayesian Network. - Kaibo Liu; Xi Zhang 006; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2014)

Domain-Knowledge Driven Cognitive Degradation Modeling for Alzheimer's Disease. - Ying Lin; Kaibo Liu; Eunshin Byon; Xiaoning Qian; Shuai Huang 001 (SDM, 2015)

System Informatics: From Methodology to Applications. - Kang Zhao 001; Yao Xie 002; Kwok-Leung Tsui; Qingming Wei; Wenpo Huang; Wei Jiang; Yanting Li; Su Gon Cho; Seoung Bum Kim; Kaibo Liu; Jianjun Shi 001; Young-Seon Jeong 001; et al. (IEEE Intell. Syst., 2015)

An Adaptive Sampling Strategy for Online High-Dimensional Process Monitoring. - Kaibo Liu; Yajun Mei; Jianjun Shi 001 (Technometrics, 2015)

Data fusion for system modeling, performance assessment and improvement. - Kaibo Liu (2015)

Integration of Data Fusion Methodology and Degradation Modeling Process to Improve Prognostics. - Kaibo Liu; Shuai Huang 001 (IEEE Trans Autom. Sci. Eng., 2016)

An Automatic Process Monitoring Method Using Recurrence Plot in Progressive Stamping Processes. - Cheng Zhou; Kaibo Liu; Xi Zhang 006; Weidong Zhang; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2016)

An Obstructive Sleep Apnea Detection Approach Using a Discriminative Hidden Markov Model From ECG Signals. - Changyue Song; Kaibo Liu; Xi Zhang 006; Lili Chen; Xiaochen Xian (IEEE Trans. Biomed. Eng., 2016)

Multiple Sensor Data Fusion for Degradation Modeling and Prognostics Under Multiple Operational Conditions. - Hao Yan; Kaibo Liu; Xi Zhang 006; Jianjun Shi 001 (IEEE Trans. Reliab., 2016)

Controlling the Residual Life Distribution of Parallel Unit Systems Through Workload Adjustment. - Li Hao; Kaibo Liu; Nagi Gebraeel; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2017)

Optimize the Signal Quality of the Composite Health Index via Data Fusion for Degradation Modeling and Prognostic Analysis. - Kaibo Liu; Abdallah A. Chehade; Changyue Song (IEEE Trans Autom. Sci. Eng., 2017)

Sensory-Based Failure Threshold Estimation for Remaining Useful Life Prediction. - Abdallah A. Chehade; Scott Bonk; Kaibo Liu (IEEE Trans. Reliab., 2017)

STACL: Simultaneous Translation with Integrated Anticipation and Controllable Latency. - Mingbo Ma; Liang Huang 001; Hao Xiong 005; Kaibo Liu; Chuanqiang Zhang; Zhongjun He; Hairong Liu; Xing Li; Haifeng Wang 001 (CoRR, 2018)

A Nonparametric Adaptive Sampling Strategy for Online Monitoring of Big Data Streams. - Xiaochen Xian; Andi Wang 001; Kaibo Liu (Technometrics, 2018)

A Collaborative Learning Framework for Estimating Many Individualized Regression Models in a Heterogeneous Population. - Ying Lin; Kaibo Liu; Eunshin Byon; Xiaoning Qian; Shan Liu; Shuai Huang 001 (IEEE Trans. Reliab., 2018)

Integration of Data-Level Fusion Model and Kernel Methods for Degradation Modeling and Prognostic Analysis. - Changyue Song; Kaibo Liu; Xi Zhang 006 (IEEE Trans. Reliab., 2018)

STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework. - Mingbo Ma; Liang Huang 001; Hao Xiong 005; Renjie Zheng; Kaibo Liu; Baigong Zheng; Chuanqiang Zhang; Zhongjun He; Hairong Liu; Xing Li; Hua Wu 003; Haifeng Wang 001 (ACL (1), 2019)

LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search. - Liang Huang 001; He Zhang; Dezhong Deng; Kai Zhao 003; Kaibo Liu; David A. Hendrix; David H. Mathews (Bioinform., 2019)

A generic framework for multisensor degradation modeling based on supervised classification and failure surface. - Changyue Song; Kaibo Liu; Xi Zhang 006 (IISE Trans., 2019)

Modeling of a three-dimensional dynamic thermal field under grid-based sensor networks in grain storage. - Di Wang 019; Kaibo Liu; Xi Zhang 006 (IISE Trans., 2019)

Structural Degradation Modeling Framework for Sparse Data Sets With an Application on Alzheimer's Disease. - Abdallah A. Chehade; Kaibo Liu (IEEE Trans Autom. Sci. Eng., 2019)

Dynamic Inspection of Latent Variables in State-Space Systems. - Tianshu Feng; Xiaoning Qian; Kaibo Liu; Shuai Huang 001 (IEEE Trans Autom. Sci. Eng., 2019)

A Generic Health Index Approach for Multisensor Degradation Modeling and Sensor Selection. - Minhee Kim; Changyue Song; Kaibo Liu (IEEE Trans Autom. Sci. Eng., 2019)

Causation-Based Monitoring and Diagnosis for Multivariate Categorical Processes With Ordinal Information. - Xiaochen Xian; Jian Li 023; Kaibo Liu (IEEE Trans Autom. Sci. Eng., 2019)

Simultaneous Translation Policies: From Fixed to Adaptive. - Baigong Zheng; Kaibo Liu; Renjie Zheng; Mingbo Ma; Hairong Liu; Liang Huang 001 (ACL, 2020)

Opportunistic Decoding with Timely Correction for Simultaneous Translation. - Renjie Zheng; Mingbo Ma; Baigong Zheng; Kaibo Liu; Liang Huang 001 (ACL, 2020)

Incremental Text-to-Speech Synthesis with Prefix-to-Prefix Framework. - Mingbo Ma; Baigong Zheng; Kaibo Liu; Renjie Zheng; Hairong Liu; Kainan Peng; Kenneth Church 001; Liang Huang 001 (EMNLP (Findings), 2020)

Fluent and Low-latency Simultaneous Speech-to-Speech Translation with Self-adaptive Training. - Renjie Zheng; Mingbo Ma; Baigong Zheng; Kaibo Liu; Jiahong Yuan; Kenneth Church 001; Liang Huang 001 (EMNLP (Findings), 2020)

Spatiotemporal Thermal Field Modeling Using Partial Differential Equations With Time-Varying Parameters. - Di Wang 019; Kaibo Liu; Xi Zhang 006 (IEEE Trans Autom. Sci. Eng., 2020)

Spatiotemporal Multitask Learning for 3-D Dynamic Field Modeling. - Di Wang 019; Kaibo Liu; Xi Zhang 006; Hui Wang 035 (IEEE Trans Autom. Sci. Eng., 2020)

Transfer Learning of Memory Kernels in Coarse-grained Modeling. - Zhan Ma; Shu Wang; Minhee Kim; Kaibo Liu; Chun-Long Chen; Wenxiao Pan (CoRR, 2021)

A Bayesian deep learning framework for interval estimation of remaining useful life in complex systems by incorporating general degradation characteristics. - Minhee Kim; Kaibo Liu (IISE Trans., 2021)

Collusion Detection and Ground Truth Inference in Crowdsourcing for Labeling Tasks. - Changyue Song; Kaibo Liu; Xi Zhang 006 (J. Mach. Learn. Res., 2021)

LinearTurboFold: Linear-time global prediction of conserved structures for RNA homologs with applications to SARS-CoV-2. - Sizhen Li; He Zhang; Liang Zhang; Kaibo Liu; Boxiang Liu; David H. Mathews; Liang Huang 001 (Proc. Natl. Acad. Sci. USA, 2021)

Adaptive Preventive Maintenance for Flow Shop Scheduling With Resumable Processing. - Honghan Ye; Xi Wang 020; Kaibo Liu (IEEE Trans Autom. Sci. Eng., 2021)

Spatiotemporal Modeling and Real-Time Prediction of Origin-Destination Traffic Demand. - Xiaochen Xian; Honghan Ye; Xin Wang; Kaibo Liu (Technometrics, 2021)

Multi-stage Objective Function Optimized Hand-Eye Self-calibration of Robot in Autonomous Environment. - Kaibo Liu; Wangli Zheng; Huasong Min; Yunhan Lin (BIC-TA, 2022)

Speedy Error Reconciliation. - Kaibo Liu; Xiaozhuo Gu; Peixin Ren; Xuwen Nie (IACR Cryptol. ePrint Arch., 2022)

Special Issue on Automation Analytics Beyond Industry 4.0: From Hybrid Strategy to Zero-Defect Manufacturing. - Fan-Tien Cheng; Chia-Yen Lee; Min-Hsiung Hung; Lars Mönch; James R. Morrison; Kaibo Liu (IEEE Trans Autom. Sci. Eng., 2022)

Individualized Degradation Modeling and Prognostics in a Heterogeneous Group via Incorporating Intrinsic Covariate Information. - Minhee Kim; Changyue Song; Kaibo Liu (IEEE Trans Autom. Sci. Eng., 2022)

Building Local Models for Flexible Degradation Modeling and Prognostics. - Changyue Song; Ziqian Zheng; Kaibo Liu (IEEE Trans Autom. Sci. Eng., 2022)

A Generic Indirect Deep Learning Approach for Multisensor Degradation Modeling. - Di Wang 019; Kaibo Liu; Xi Zhang 006 (IEEE Trans Autom. Sci. Eng., 2022)

A Generic Online Nonparametric Monitoring and Sampling Strategy for High-Dimensional Heterogeneous Processes. - Honghan Ye; Kaibo Liu (IEEE Trans Autom. Sci. Eng., 2022)

Who Judges the Judge: An Empirical Study on Online Judge Tests. - Kaibo Liu; Yudong Han; Jie M. Zhang; Zhenpeng Chen; Federica Sarro; Mark Harman; Gang Huang 001; Yun Ma 002 (ISSTA, 2023)

Algorithm for optimized mRNA design improves stability and immunogenicity. - He Zhang; Liang Zhang; Ang Lin; Congcong Xu; Ziyu Li; Kaibo Liu; Boxiang Liu; Xiaopin Ma; Fanfan Zhao; Huiling Jiang; Chunxiu Chen; Haifa Shen; et al. (Nat., 2023)

GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning. - Hanyu Zhao; Zhi Yang 001; Yu Cheng; Chao Tian 001; Shiru Ren; Wencong Xiao; Man Yuan; Langshi Chen; Kaibo Liu; Yang Zhang; Yong Li 020; Wei Lin 016 (Proc. ACM Manag. Data, 2023)

LinearDesign software. - He Zhang; Liang Zhang; Ziyu Li; Kaibo Liu; Boxiang Liu; Liang Huang 001 (Zenodo, 2023)

LinearDesign. - He Zhang; Liang Zhang; Ziyu Li; Kaibo Liu; Boxiang Liu; Liang Huang 001 (Zenodo, 2023)

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories. - Jia Li 012; Ge Li 001; Yunfei Zhao; Yongmin Li; Huanyu Liu; Hao Zhu; Lecheng Wang; Kaibo Liu; Zheng Fang; Lanshen Wang; Jiazheng Ding; Xuanming Zhang; et al. (ACL (Findings), 2024)

HITS: High-coverage LLM-based Unit Test Generation via Method Slicing. - Zejun Wang; Kaibo Liu; Ge Li 001; Zhi Jin (ASE, 2024)

TrickyBugs: A Dataset of Corner-case Bugs in Plausible Programs. - Kaibo Liu; Yudong Han; Yiyang Liu; Jie M. Zhang; Zhenpeng Chen; Federica Sarro; Gang Huang 001; Yun Ma 002 (MSR, 2024)

Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Region. - Haijie Xu; Xiaochen Xian; Chen Zhang; Kaibo Liu (CoRR, 2024)

LLM-Powered Test Case Generation for Detecting Tricky Bugs. - Kaibo Liu; Yiyang Liu; Zhenpeng Chen; Jie M. Zhang; Yudong Han; Yun Ma 002; Ge Li 001; Gang Huang 001 (CoRR, 2024)

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories. - Jia Li 012; Ge Li 001; Yunfei Zhao; Yongmin Li; Huanyu Liu; Hao Zhu; Lecheng Wang; Kaibo Liu; Zheng Fang; Lanshen Wang; Jiazheng Ding; Xuanming Zhang; et al. (CoRR, 2024)

Python Symbolic Execution with LLM-powered Code Generation. - Wenhan Wang; Kaibo Liu; An Ran Chen; Ge Li 001; Zhi Jin; Gang Huang 001; Lei Ma 003 (CoRR, 2024)

FullStack Bench: Evaluating LLMs as Full Stack Coders. - Yao Cheng; Jianfeng Chen; Jie Chen; Li Chen; Liyu Chen; Wentao Chen; Zhengyu Chen; Shijie Geng; Aoyan Li; Bo Li; Bowen Li; Linyi Li; et al. (CoRR, 2024)

Instance Selection via Voronoi Neighbors for Binary Classification Tasks. - Ying Fu; Kaibo Liu; Wenbin Zhu (IEEE Trans. Knowl. Data Eng., 2024)

Transfer Learning-Based Independent Component Analysis. - Ziqian Zheng; Wei Zhao; Brock Hable; Yutao Gong; Xuan Wang; Robert W. Shannon; Kaibo Liu (IEEE Trans Autom. Sci. Eng., 2024)

Online monitoring of high-dimensional asynchronous and heterogeneous data streams for shifts in location and scale. - Honghan Ye; Ziqian Zheng; Jing-Ru C. Cheng; Brock Hable; Kaibo Liu (Int. J. Prod. Res., 2024)

Real-time Cyber-Physical Security Solution Leveraging an Integrated Learning-Based Approach. - Di Wang 019; Fangyu Li; Kaibo Liu; Xi Zhang 006 (ACM Trans. Sens. Networks, 2024)

An Integrated Deep Learning-Based Data Fusion and Degradation Modeling Method for Improving Prognostics. - Di Wang 019; Kaibo Liu (IEEE Trans Autom. Sci. Eng., 2024)

LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs. - Kaibo Liu; Zhenpeng Chen; Yiyang Liu; Jie M. Zhang; Mark Harman; Yudong Han; Yun Ma 002; Yihong Dong; Ge Li 001; Gang Huang 001 (ACL (1), 2025)

Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes. - Ying Fu; Ye Kwon Huh; Kaibo Liu (IEEE Trans Autom. Sci. Eng., 2025)

A Bayesian Spike-and-Slab Sensor Selection Approach for High-Dimensional Prognostics. - Ye Kwon Huh; Ying Fu; Kaibo Liu (IEEE Trans Autom. Sci. Eng., 2025)

An Integrated Uncertainty Quantification Model for Longitudinal and Time-to-Event Data. - Ye Kwon Huh; Minhee Kim; Kaibo Liu; Shiyu Zhou (IEEE Trans Autom. Sci. Eng., 2025)

Online Monitoring of Heterogeneous Partially Observable Data Streams Based on Q-Learning. - Haoqian Li; Honghan Ye; Jing-Ru C. Cheng; Kaibo Liu (IEEE Trans Autom. Sci. Eng., 2025)

Online Monitoring of High-Dimensional Data Streams With Deep Q-Network. - Haoqian Li; Ziqian Zheng; Kaibo Liu (IEEE Trans Autom. Sci. Eng., 2025)

Prediction of Condition Monitoring Signals Using Scalable Pairwise Gaussian Processes and Bayesian Model Averaging. - Jinwen Sun; Shiyu Zhou; Dharmaraj Veeramani; Kaibo Liu (IEEE Trans Autom. Sci. Eng., 2025)

Self-Starting Monitoring and Dynamic Sampling of High-Dimensional Data Streams. - Jiahui Zhang; Ziqian Zheng; Jun Li 023; Kaibo Liu (IEEE Trans Autom. Sci. Eng., 2025)

Seed-Coder: Let the Code Model Curate Data for Itself. - Yuyu Zhang; Jing Su; Yifan Sun; Chenguang Xi; Xia Xiao; Shen Zheng; Anxiang Zhang; Kaibo Liu; Daoguang Zan; Tao Sun; Jinhua Zhu; Shulin Xin; et al. (CoRR, 2025)