Kaibo Liu

81 papers A* 3A 3Journal 66Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
DrWASI: LLM-assisted Differential Testing for WebAssembly System Interface Implementations.
ACM Trans. Softw. Eng. Methodol.
Yixuan Zhang, Ningyu He, Jianting Gao, Shangtong Cao, Kaibo Liu, Haoyu Wang, Yun Ma, Gang Huang, Xuanzhe Liu
2025 J jnl
A Bayesian Spike-and-Slab Sensor Selection Approach for High-Dimensional Prognostics.
IEEE Trans Autom. Sci. Eng.
Ye Kwon Huh, Ying Fu, Kaibo Liu
2025 J jnl
An Integrated Uncertainty Quantification Model for Longitudinal and Time-to-Event Data.
IEEE Trans Autom. Sci. Eng.
Ye Kwon Huh, Minhee Kim, Kaibo Liu, Shiyu Zhou
2025 J jnl
Can Large Language Models Solve Path Constraints in Symbolic Execution?
CoRR
Wenhan Wang, Kaibo Liu, Zeyu Sun, An Ran Chen, Ge Li, Gang Huang, Lei Ma
2025 J jnl
Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes.
IEEE Trans Autom. Sci. Eng.
Ying Fu, Ye Kwon Huh, Kaibo Liu
2025 — conf
LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs.
ACL (1)
Kaibo Liu, Zhenpeng Chen, Yiyang Liu, Jie M. Zhang, Mark Harman, Yudong Han, Yun Ma, Yihong Dong, Ge Li, Gang Huang
2025 J jnl
Online Monitoring of Heterogeneous Partially Observable Data Streams Based on Q-Learning.
IEEE Trans Autom. Sci. Eng.
Haoqian Li, Honghan Ye, Jing-Ru C. Cheng, Kaibo Liu
2025 J jnl
Online Monitoring of High-Dimensional Data Streams With Deep Q-Network.
IEEE Trans Autom. Sci. Eng.
Haoqian Li, Ziqian Zheng, Kaibo Liu
2025 J jnl
Prediction of Condition Monitoring Signals Using Scalable Pairwise Gaussian Processes and Bayesian Model Averaging.
IEEE Trans Autom. Sci. Eng.
Jinwen Sun, Shiyu Zhou, Dharmaraj Veeramani, Kaibo Liu
2025 J jnl
Seed-Coder: Let the Code Model Curate Data for Itself.
CoRR
Yuyu Zhang, Jing Su, Yifan Sun, Chenguang Xi, Xia Xiao, Shen Zheng, Anxiang Zhang, Kaibo Liu, Daoguang Zan, Tao Sun, Jinhua Zhu, Shulin Xin, Dong Huang, Yetao Bai, Lixin Dong, Chao Li, Jianchong Chen, Hanzhi Zhou, Yifan Huang, Guanghan Ning, Xierui Song, Jiaze Chen, Siyao Liu, Kai Shen, Liang Xiang, Yonghui Wu
2025 J jnl
Self-Starting Monitoring and Dynamic Sampling of High-Dimensional Data Streams.
IEEE Trans Autom. Sci. Eng.
Jiahui Zhang, Ziqian Zheng, Jun Li, Kaibo Liu
2025 — conf
Speedy Error Reconciliation.
Inscrypt (1)
Kaibo Liu, Xiaozhuo Gu, Peixin Ren, Xuwen Nie, Yunlv Lv
2024 J jnl
An Integrated Deep Learning-Based Data Fusion and Degradation Modeling Method for Improving Prognostics.
IEEE Trans Autom. Sci. Eng.
Di Wang, Kaibo Liu
2024 J jnl
Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes.
CoRR
Ying Fu, Ye Kwon Huh, Kaibo Liu
2024 — conf
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.
ACL (Findings)
Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Huanyu Liu, Hao Zhu, Lecheng Wang, Kaibo Liu, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yuqi Zhu, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li, Bin Gu, Mengfei Yang
2024 J jnl
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.
CoRR
Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Huanyu Liu, Hao Zhu, Lecheng Wang, Kaibo Liu, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yuqi Zhu, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li
2024 J jnl
FullStack Bench: Evaluating LLMs as Full Stack Coders.
CoRR
Yao Cheng, Jianfeng Chen, Jie Chen, Li Chen, Liyu Chen, Wentao Chen, Zhengyu Chen, Shijie Geng, Aoyan Li, Bo Li, Bowen Li, Linyi Li, Boyi Liu, Jerry Liu, Kaibo Liu, Qi Liu, Shukai Liu, Siyao Liu, Tianyi Liu, Tingkai Liu, Yongfei Liu, Rui Long, Jing Mai, Guanghan Ning, Z. Y. Peng, Kai Shen, Jiahao Su, Jing Su, Tao Sun, Yifan Sun, Yunzhe Tao, Guoyin Wang, Siwei Wang, Xuwu Wang, Yite Wang, Zihan Wang, Jinxiang Xia, Liang Xiang, Xia Xiao, Yongsheng Xiao, Chenguang Xi, Shulin Xin, Jingjing Xu, Shikun Xu, Hongxia Yang, Jack Yang, Yingxiang Yang, Jianbo Yuan, Jun Zhang, Yufeng Zhang, Yuyu Zhang, Shen Zheng, He Zhu, Ming Zhu
2024 J jnl
Grounding rod hanging and removing robot with hand-eye self-calibration capability in substation.
Complex Intell. Syst.
Yunhan Lin, Jiahui Wang, Kaibo Liu, Huasong Min
2024 A* conf
HITS: High-coverage LLM-based Unit Test Generation via Method Slicing.
ASE
Zejun Wang, Kaibo Liu, Ge Li, Zhi Jin
2024 J jnl
HITS: High-coverage LLM-based Unit Test Generation via Method Slicing.
CoRR
Zejun Wang, Kaibo Liu, Ge Li, Zhi Jin
2024 J jnl
Instance Selection via Voronoi Neighbors for Binary Classification Tasks.
IEEE Trans. Knowl. Data Eng.
Ying Fu, Kaibo Liu, Wenbin Zhu
2024 J jnl
LLM-Powered Test Case Generation for Detecting Tricky Bugs.
CoRR
Kaibo Liu, Yiyang Liu, Zhenpeng Chen, Jie M. Zhang, Yudong Han, Yun Ma, Ge Li, Gang Huang
2024 J jnl
Online monitoring of high-dimensional asynchronous and heterogeneous data streams for shifts in location and scale.
Int. J. Prod. Res.
Honghan Ye, Ziqian Zheng, Jing-Ru C. Cheng, Brock Hable, Kaibo Liu
2024 J jnl
Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Region.
CoRR
Haijie Xu, Xiaochen Xian, Chen Zhang, Kaibo Liu
2024 J jnl
Python Symbolic Execution with LLM-powered Code Generation.
CoRR
Wenhan Wang, Kaibo Liu, An Ran Chen, Ge Li, Zhi Jin, Gang Huang, Lei Ma
2024 J jnl
Real-time Cyber-Physical Security Solution Leveraging an Integrated Learning-Based Approach.
ACM Trans. Sens. Networks
Di Wang, Fangyu Li, Kaibo Liu, Xi Zhang
2024 J jnl
Transfer Learning-Based Independent Component Analysis.
IEEE Trans Autom. Sci. Eng.
Ziqian Zheng, Wei Zhao, Brock Hable, Yutao Gong, Xuan Wang, Robert W. Shannon, Kaibo Liu
2024 A conf
TrickyBugs: A Dataset of Corner-case Bugs in Plausible Programs.
MSR
Kaibo Liu, Yudong Han, Yiyang Liu, Jie M. Zhang, Zhenpeng Chen, Federica Sarro, Gang Huang, Yun Ma
2023 J jnl
Algorithm for optimized mRNA design improves stability and immunogenicity.
Nat.
He Zhang, Liang Zhang, Ang Lin, Congcong Xu, Ziyu Li, Kaibo Liu, Boxiang Liu, Xiaopin Ma, Fanfan Zhao, Huiling Jiang, Chunxiu Chen, Haifa Shen, Hangwen Li, David H. Mathews, Yujian Zhang, Liang Huang
2023 J jnl
GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning.
Proc. ACM Manag. Data
Hanyu Zhao, Zhi Yang, Yu Cheng, Chao Tian, Shiru Ren, Wencong Xiao, Man Yuan, Langshi Chen, Kaibo Liu, Yang Zhang, Yong Li, Wei Lin
2023 A conf
Who Judges the Judge: An Empirical Study on Online Judge Tests.
ISSTA
Kaibo Liu, Yudong Han, Jie M. Zhang, Zhenpeng Chen, Federica Sarro, Mark Harman, Gang Huang, Yun Ma
2022 J jnl
A Generic Indirect Deep Learning Approach for Multisensor Degradation Modeling.
IEEE Trans Autom. Sci. Eng.
Di Wang, Kaibo Liu, Xi Zhang
2022 J jnl
A Generic Online Nonparametric Monitoring and Sampling Strategy for High-Dimensional Heterogeneous Processes.
IEEE Trans Autom. Sci. Eng.
Honghan Ye, Kaibo Liu
2022 J jnl
Building Local Models for Flexible Degradation Modeling and Prognostics.
IEEE Trans Autom. Sci. Eng.
Changyue Song, Ziqian Zheng, Kaibo Liu
2022 J jnl
Individualized Degradation Modeling and Prognostics in a Heterogeneous Group via Incorporating Intrinsic Covariate Information.
IEEE Trans Autom. Sci. Eng.
Minhee Kim, Changyue Song, Kaibo Liu
2022 — conf
Multi-stage Objective Function Optimized Hand-Eye Self-calibration of Robot in Autonomous Environment.
BIC-TA
Kaibo Liu, Wangli Zheng, Huasong Min, Yunhan Lin
2022 J jnl
Special Issue on Automation Analytics Beyond Industry 4.0: From Hybrid Strategy to Zero-Defect Manufacturing.
IEEE Trans Autom. Sci. Eng.
Fan-Tien Cheng, Chia-Yen Lee, Min-Hsiung Hung, Lars Mönch, James R. Morrison, Kaibo Liu
2022 J jnl
Speedy Error Reconciliation.
IACR Cryptol. ePrint Arch.
Kaibo Liu, Xiaozhuo Gu, Peixin Ren, Xuwen Nie
2021 J jnl
A Bayesian deep learning framework for interval estimation of remaining useful life in complex systems by incorporating general degradation characteristics.
IISE Trans.
Minhee Kim, Kaibo Liu
2021 J jnl
Adaptive Preventive Maintenance for Flow Shop Scheduling With Resumable Processing.
IEEE Trans Autom. Sci. Eng.
Honghan Ye, Xi Wang, Kaibo Liu
2021 J jnl
Collusion Detection and Ground Truth Inference in Crowdsourcing for Labeling Tasks.
J. Mach. Learn. Res.
Changyue Song, Kaibo Liu, Xi Zhang
2021 J jnl
LinearTurboFold: Linear-time global prediction of conserved structures for RNA homologs with applications to SARS-CoV-2.
Proc. Natl. Acad. Sci. USA
Sizhen Li, He Zhang, Liang Zhang, Kaibo Liu, Boxiang Liu, David H. Mathews, Liang Huang
2021 J jnl
Spatiotemporal Modeling and Real-Time Prediction of Origin-Destination Traffic Demand.
Technometrics
Xiaochen Xian, Honghan Ye, Xin Wang, Kaibo Liu
2021 J jnl
Transfer Learning of Memory Kernels in Coarse-grained Modeling.
CoRR
Zhan Ma, Shu Wang, Minhee Kim, Kaibo Liu, Chun-Long Chen, Wenxiao Pan
2020 — conf
Fluent and Low-latency Simultaneous Speech-to-Speech Translation with Self-adaptive Training.
EMNLP (Findings)
Renjie Zheng, Mingbo Ma, Baigong Zheng, Kaibo Liu, Jiahong Yuan, Kenneth Church, Liang Huang
2020 J jnl
Fluent and Low-latency Simultaneous Speech-to-Speech Translation with Self-adaptive Training.
CoRR
Renjie Zheng, Mingbo Ma, Baigong Zheng, Kaibo Liu, Jiahong Yuan, Kenneth Church, Liang Huang
2020 — conf
Incremental Text-to-Speech Synthesis with Prefix-to-Prefix Framework.
EMNLP (Findings)
Mingbo Ma, Baigong Zheng, Kaibo Liu, Renjie Zheng, Hairong Liu, Kainan Peng, Kenneth Church, Liang Huang
2020 J jnl
LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search.
CoRR
Liang Huang, He Zhang, Dezhong Deng, Kai Zhao, Kaibo Liu, David A. Hendrix, David H. Mathews
2020 A* conf
Opportunistic Decoding with Timely Correction for Simultaneous Translation.
ACL
Renjie Zheng, Mingbo Ma, Baigong Zheng, Kaibo Liu, Liang Huang
2020 J jnl
Opportunistic Decoding with Timely Correction for Simultaneous Translation.
CoRR
Renjie Zheng, Mingbo Ma, Baigong Zheng, Kaibo Liu, Liang Huang
2020 A* conf
Simultaneous Translation Policies: From Fixed to Adaptive.
ACL
Baigong Zheng, Kaibo Liu, Renjie Zheng, Mingbo Ma, Hairong Liu, Liang Huang
2020 J jnl
Simultaneous Translation Policies: From Fixed to Adaptive.
CoRR
Baigong Zheng, Kaibo Liu, Renjie Zheng, Mingbo Ma, Hairong Liu, Liang Huang
2020 J jnl
Spatiotemporal Multitask Learning for 3-D Dynamic Field Modeling.
IEEE Trans Autom. Sci. Eng.
Di Wang, Kaibo Liu, Xi Zhang, Hui Wang
2020 J jnl
Spatiotemporal Thermal Field Modeling Using Partial Differential Equations With Time-Varying Parameters.
IEEE Trans Autom. Sci. Eng.
Di Wang, Kaibo Liu, Xi Zhang
2019 J jnl
A Generic Health Index Approach for Multisensor Degradation Modeling and Sensor Selection.
IEEE Trans Autom. Sci. Eng.
Minhee Kim, Changyue Song, Kaibo Liu
2019 J jnl
A generic framework for multisensor degradation modeling based on supervised classification and failure surface.
IISE Trans.
Changyue Song, Kaibo Liu, Xi Zhang
2019 J jnl
Causation-Based Monitoring and Diagnosis for Multivariate Categorical Processes With Ordinal Information.
IEEE Trans Autom. Sci. Eng.
Xiaochen Xian, Jian Li, Kaibo Liu
2019 J jnl
Dynamic Inspection of Latent Variables in State-Space Systems.
IEEE Trans Autom. Sci. Eng.
Tianshu Feng, Xiaoning Qian, Kaibo Liu, Shuai Huang
2019 J jnl
Incremental Text-to-Speech Synthesis with Prefix-to-Prefix Framework.
CoRR
Mingbo Ma, Baigong Zheng, Kaibo Liu, Renjie Zheng, Hairong Liu, Kainan Peng, Kenneth Church, Liang Huang
2019 J jnl
LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search.
Bioinform.
Liang Huang, He Zhang, Dezhong Deng, Kai Zhao, Kaibo Liu, David A. Hendrix, David H. Mathews
2019 J jnl
Modeling of a three-dimensional dynamic thermal field under grid-based sensor networks in grain storage.
IISE Trans.
Di Wang, Kaibo Liu, Xi Zhang
2019 — conf
STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework.
ACL (1)
Mingbo Ma, Liang Huang, Hao Xiong, Renjie Zheng, Kaibo Liu, Baigong Zheng, Chuanqiang Zhang, Zhongjun He, Hairong Liu, Xing Li, Hua Wu, Haifeng Wang
2019 J jnl
Structural Degradation Modeling Framework for Sparse Data Sets With an Application on Alzheimer's Disease.
IEEE Trans Autom. Sci. Eng.
Abdallah A. Chehade, Kaibo Liu
2018 J jnl
A Collaborative Learning Framework for Estimating Many Individualized Regression Models in a Heterogeneous Population.
IEEE Trans. Reliab.
Ying Lin, Kaibo Liu, Eunshin Byon, Xiaoning Qian, Shan Liu, Shuai Huang
2018 J jnl
A Nonparametric Adaptive Sampling Strategy for Online Monitoring of Big Data Streams.
Technometrics
Xiaochen Xian, Andi Wang, Kaibo Liu
2018 J jnl
Integration of Data-Level Fusion Model and Kernel Methods for Degradation Modeling and Prognostic Analysis.
IEEE Trans. Reliab.
Changyue Song, Kaibo Liu, Xi Zhang
2018 J jnl
STACL: Simultaneous Translation with Integrated Anticipation and Controllable Latency.
CoRR
Mingbo Ma, Liang Huang, Hao Xiong, Kaibo Liu, Chuanqiang Zhang, Zhongjun He, Hairong Liu, Xing Li, Haifeng Wang
2017 — conf
A nonparametric adaptive sampling strategy for online monitoring of big data streams.
CASE
Xiaochen Xian, Andi Wang, Kaibo Liu
2017 J jnl
Controlling the Residual Life Distribution of Parallel Unit Systems Through Workload Adjustment.
IEEE Trans Autom. Sci. Eng.
Li Hao, Kaibo Liu, Nagi Gebraeel, Jianjun Shi
2017 J jnl
Optimize the Signal Quality of the Composite Health Index via Data Fusion for Degradation Modeling and Prognostic Analysis.
IEEE Trans Autom. Sci. Eng.
Kaibo Liu, Abdallah A. Chehade, Changyue Song
2017 J jnl
Sensory-Based Failure Threshold Estimation for Remaining Useful Life Prediction.
IEEE Trans. Reliab.
Abdallah A. Chehade, Scott Bonk, Kaibo Liu
2016 J jnl
An Automatic Process Monitoring Method Using Recurrence Plot in Progressive Stamping Processes.
IEEE Trans Autom. Sci. Eng.
Cheng Zhou, Kaibo Liu, Xi Zhang, Weidong Zhang, Jianjun Shi
2016 J jnl
An Obstructive Sleep Apnea Detection Approach Using a Discriminative Hidden Markov Model From ECG Signals.
IEEE Trans. Biomed. Eng.
Changyue Song, Kaibo Liu, Xi Zhang, Lili Chen, Xiaochen Xian
2016 J jnl
Integration of Data Fusion Methodology and Degradation Modeling Process to Improve Prognostics.
IEEE Trans Autom. Sci. Eng.
Kaibo Liu, Shuai Huang
2016 J jnl
Multiple Sensor Data Fusion for Degradation Modeling and Prognostics Under Multiple Operational Conditions.
IEEE Trans. Reliab.
Hao Yan, Kaibo Liu, Xi Zhang, Jianjun Shi
2015 J jnl
An Adaptive Sampling Strategy for Online High-Dimensional Process Monitoring.
Technometrics
Kaibo Liu, Yajun Mei, Jianjun Shi
2015 — —
Data fusion for system modeling, performance assessment and improvement.
Kaibo Liu
2015 A conf
Domain-Knowledge Driven Cognitive Degradation Modeling for Alzheimer's Disease.
SDM
Ying Lin, Kaibo Liu, Eunshin Byon, Xiaoning Qian, Shuai Huang
2015 J jnl
System Informatics: From Methodology to Applications.
IEEE Intell. Syst.
Kang Zhao, Yao Xie, Kwok-Leung Tsui, Qingming Wei, Wenpo Huang, Wei Jiang, Yanting Li, Su Gon Cho, Seoung Bum Kim, Kaibo Liu, Jianjun Shi, Young-Seon Jeong, Byunghoon Kim, Seung Hoon Tong, In-Kap Chang, Myong Kee Jeong, Florent Charruaud, Lishuai Li
2014 J jnl
Adaptive Sensor Allocation Strategy for Process Monitoring and Diagnosis in a Bayesian Network.
IEEE Trans Autom. Sci. Eng.
Kaibo Liu, Xi Zhang, Jianjun Shi
2013 J jnl
A Data-Level Fusion Model for Developing Composite Health Indices for Degradation Modeling and Prognostic Analysis.
IEEE Trans Autom. Sci. Eng.
Kaibo Liu, Nagi Gebraeel, Jianjun Shi