Ming Liang

115 papers A* 11A 3B 5C 3Misc 4Journal 68Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
EGSS: Entropy-guided Stepwise Scaling for Reliable Software Engineering.
CoRR
Chenhui Mao, Yuanting Lei, Zhixiang Wei, Ming Liang, Zhixiang Wang, Jingxuan Xu, Dajun Chen, Wei Jiang, Yong Li
2026 J jnl
Enhanced PPE detection in low-light tunnel environments: a YOLOv5-based approach.
Vis. Comput.
Menglan Wu, Weiwei Xie, Guanxian Song, Bo Yu, Chuanyi Huang, Yuge Lu, Hao Peng, Nenghao Huang, Menglong Zhu, Ming Liang
2026 J jnl
Learning Adaptive Parallel Execution for Efficient Code Localization.
CoRR
Ke Xu, Siyang Xiao, Ming Liang, YiChen Yu, Zhixiang Wang, Jingxuan Xu, Dajun Chen, Wei Jiang, Yong Li
2026 J jnl
TopoKG: Infer Internet AS-Level Topology From Global Perspective.
IEEE Trans. Netw. Serv. Manag.
Jian Ye, Lisi Mo, Gaolei Fei, Yunpeng Zhou, Ming Xian, Xuemeng Zhai, Guangmin Hu, Ming Liang
2026 J jnl
TrajLoom: Dense Future Trajectory Generation from Video.
CoRR
Zewei Zhang, Jia Jun Cheng Xian, Kaiwen Liu, Ming Liang, Hang Chu, Jun Chen, Renjie Liao
2025 J jnl
An Efficient and Adaptive Next Edit Suggestion Framework with Zero Human Instructions in IDEs.
CoRR
Xinfang Chen, Siyang Xiao, Xianying Zhu, Junhong Xie, Ming Liang, Dajun Chen, Wei Jiang, Yong Li, Peng Di
2025 — conf
Design method of adjustable bending and variable diameter hemostatic stent based on continuum structure.
RCAR
Jie Li, Guang Yang, Peng Lin, Fangxing Tian, Jie Zhang, Yang Li, Jingyang Sun, Ming Liang, Hao Liu
2025 J jnl
Enhancing Project-Specific Code Completion by Inferring Internal API Information.
CoRR
Le Deng, Xiaoxue Ren, Chao Ni, Ming Liang, David Lo, Zhongxin Liu
2025 J jnl
Enhancing Project-Specific Code Completion by Inferring Internal API Information.
IEEE Trans. Software Eng.
Le Deng, Xiaoxia Ren, Chao Ni, Ming Liang, David Lo, Zhongxin Liu
2025 J jnl
FlexFL: Flexible and Effective Fault Localization With Open-Source Large Language Models.
IEEE Trans. Software Eng.
Chuyang Xu, Zhongxin Liu, Xiaoxue Ren, Gehao Zhang, Ming Liang, David Lo
2025 — conf
FuseApplyBench: Multilingual Benchmark for Trustworthy Code Edit Applying Task.
ISSTA Companion
Ming Liang, Qingyu Zhang, Zhipeng Zuo, Shaoqiang Zheng, Dajun Chen, Wei Jiang, Yong Li
2025 J jnl
Generator Stator Current Signal Analytical Models and Signature Analysis for Fault Diagnosis of Wind Turbine Planet Bearings.
IEEE Trans. Instrum. Meas.
Ying Zhang, Haoqun Ma, Zhipeng Feng, Rongzhou Lin, Ming Liang
2025 J jnl
Intelligent algorithms powered smart devices for atrial fibrillation discrimination.
Biomed. Signal Process. Control.
Liping Xie, Lindong Wang, Dongze Mo, Zelin Zhang, Ming Liang
2025 A* conf
PEACE: Towards Efficient Project-Level Efficiency Optimization via Hybrid Code Editing.
ASE
Xiaoxue Ren, Jun Wan, Yun Peng, Zhongxin Liu, Ming Liang, Dajun Chen, Wei Jiang, Yong Li
2025 J jnl
PEACE: Towards Efficient Project-Level Efficiency Optimization via Hybrid Code Editing.
CoRR
Xiaoxue Ren, Jun Wan, Yun Peng, Zhongxin Liu, Ming Liang, Dajun Chen, Wei Jiang, Yong Li
2025 — conf
Teleoperation-Driven Dual-Arm Mobile Manipulation for Remote Customs Inspection.
ROBIO
Yihui Li, Hao Li, Jian Liu, Zhanrong Zhang, Yule Liang, Jianwen Wu, Xinshen Huang, Wei Jiang, Ruiqiang Lu, Chao Liu, Ming Liang
2024 — conf
A Hollow FBG-Based 3-Axis Force Sensor for Surgical Robots.
RCAR
Jie Li, Weiquan Deng, Chongyang Wang, Haoning Cheng, Junlin Cui, Ming Liang, Hao Liu
2024 — conf
CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model.
ICSE-SEIP
Peng Di, Jianguo Li, Hang Yu, Wei Jiang, Wenting Cai, Yang Cao, Chaoyu Chen, Dajun Chen, Hongwei Chen, Liang Chen, Gang Fan, Jie Gong, Zi Gong, Wen Hu, Tingting Guo, Zhichao Lei, Ting Li, Zheng Li, Ming Liang, Cong Liao, Bingchang Liu, Jiachen Liu, Zhiwei Liu, Shaojun Lu, Min Shen, Guangpei Wang, Huan Wang, Zhi Wang, Zhaogui Xu, Jiawei Yang, Qing Ye, Gehao Zhang, Yu Zhang, Zelin Zhao, Xunjin Zheng, Hailian Zhou, Lifu Zhu, Xianying Zhu
2024 J jnl
FlexFL: Flexible and Effective Fault Localization with Open-Source Large Language Models.
CoRR
Chuyang Xu, Zhongxin Liu, Xiaoxue Ren, Gehao Zhang, Ming Liang, David Lo
2024 A* conf
MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning.
KDD
Bingchang Liu, Chaoyu Chen, Zi Gong, Cong Liao, Huan Wang, Zhichao Lei, Ming Liang, Dajun Chen, Min Shen, Hailian Zhou, Wei Jiang, Hang Yu, Jianguo Li
2024 J jnl
REPOFUSE: Repository-Level Code Completion with Fused Dual Context.
CoRR
Ming Liang, Xiaoheng Xie, Gehao Zhang, Xunjin Zheng, Peng Di, Wei Jiang, Hongwei Chen, Chengpeng Wang, Gang Fan
2024 A* conf
RepoGenix: Dual Context-Aided Repository-Level Code Completion with Language Models.
ASE
Ming Liang, Xiaoheng Xie, Gehao Zhang, Xunjin Zheng, Peng Di, Wei Jiang, Hongwei Chen, Chengpeng Wang, Gang Fan
2023 J jnl
CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model.
CoRR
Peng Di, Jianguo Li, Hang Yu, Wei Jiang, Wenting Cai, Yang Cao, Chaoyu Chen, Dajun Chen, Hongwei Chen, Liang Chen, Gang Fan, Jie Gong, Zi Gong, Wen Hu, Tingting Guo, Zhichao Lei, Ting Li, Zheng Li, Ming Liang, Cong Liao, Bingchang Liu, Jiachen Liu, Zhiwei Liu, Shaojun Lu, Min Shen, Guangpei Wang, Huan Wang, Zhi Wang, Zhaogui Xu, Jiawei Yang, Qing Ye, Gehao Zhang, Yu Zhang, Zelin Zhao, Xunjin Zheng, Hailian Zhou, Lifu Zhu, Xianying Zhu
2023 B conf
Credit Default Prediction on Time-Series Behavioral Data Using Ensemble Models.
IJCNN
Kangshuai Guo, Shichao Luo, Ming Liang, Zhongjian Zhang, Huabin Yang, Yan Wang, Yingjie Zhou
2023 J jnl
MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning.
CoRR
Bingchang Liu, Chaoyu Chen, Cong Liao, Zi Gong, Huan Wang, Zhichao Lei, Ming Liang, Dajun Chen, Min Shen, Hailian Zhou, Hang Yu, Jianguo Li
2023 J jnl
Novel Weigh-in-Motion Pavement Sensor Based on Self-Sensing Nanocomposites for Vehicle Load Identification: Development, Performance Testing, and Validation.
Sensors
Ming Liang, Yunfeng Zhang, Yuepeng Jiao, Jianjiang Wang, Linping Su, Zhanyong Yao
2022 — conf
Conformance requirements and test standard research for communication protocols of electric vehicle wireless power transfer.
AIAM
Baoqiang Zhang, Yang Li, Jin Li, Bin Fan, Ming Liang, Chao Hu
2022 — conf
Design and experimental verification of a novel master manipulator with force feedback for vascular interventional robot.
ROBIO
Jie Li, Yang Liao, Peng Lin, Liming Zheng, Chongyang Wang, Jiatao Luo, Ming Liang, Hao Liu
2022 — conf
DoTAT: A Domain-oriented Text Annotation Tool.
ACL (demo)
Yupian Lin, Tong Ruan, Ming Liang, Tingting Cai, Wen Du, Yi Wang
2022 J jnl
Method to Determine the Centroid of Non-Homogeneous Polygons Based on Suspension Theory.
ISPRS Int. J. Geo Inf.
Jianhua Ni, Jie Chen, Yanlan Wu, Zihao Chen, Ming Liang
2021 J jnl
A combined recall and rank framework with online negative sampling for Chinese procedure terminology normalization.
Bioinform.
Ming Liang, Kui Xue, Qi Ye, Tong Ruan
2021 J jnl
A multi-perspective combined recall and rank framework for Chinese procedure terminology normalization.
CoRR
Ming Liang, Kui Xue, Tong Ruan
2021 J jnl
Auto4D: Learning to Label 4D Objects from Sequential Point Clouds.
CoRR
Bin Yang, Min Bai, Ming Liang, Wenyuan Zeng, Raquel Urtasun
2021 J jnl
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving.
CoRR
James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun
2021 Misc conf
Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving.
CoRL
James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun
2021 J jnl
FeederGAN: Synthetic Feeder Generation via Deep Graph Adversarial Nets.
IEEE Trans. Smart Grid
Ming Liang, Yao Meng, Jiyu Wang, David Lubkeman, Ning Lu
2021 A conf
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting.
IROS
Wenyuan Zeng, Ming Liang, Renjie Liao, Raquel Urtasun
2021 J jnl
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting.
CoRR
Wenyuan Zeng, Ming Liang, Renjie Liao, Raquel Urtasun
2021 J jnl
PLUME: Efficient 3D Object Detection from Stereo Images.
CoRR
Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun
2021 A conf
PLUMENet: Efficient 3D Object Detection from Stereo Images.
IROS
Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun
2021 A* conf
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving.
ICRA
Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun
2020 J jnl
A Data-Driven Pivot-Point-Based Time-Series Feeder Load Disaggregation Method.
IEEE Trans. Smart Grid
Jiyu Wang, Xiangqi Zhu, Ming Liang, Yao Meng, Andrew Kling, David Lubkeman, Ning Lu
2020 J jnl
Deep Continuous Fusion for Multi-Sensor 3D Object Detection.
CoRR
Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun
2020 A conf
End-to-end Contextual Perception and Prediction with Interaction Transformer.
IROS
Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, Raquel Urtasun
2020 J jnl
End-to-end Contextual Perception and Prediction with Interaction Transformer.
CoRR
Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, Raquel Urtasun
2020 J jnl
FeederGAN: Synthetic Feeder Generation via Deep Graph Adversarial Nets.
CoRR
Ming Liang, Yao Meng, Jiyu Wang, David Lubkeman, Ning Lu
2020 J jnl
HDNET: Exploiting HD Maps for 3D Object Detection.
CoRR
Bin Yang, Ming Liang, Raquel Urtasun
2020 J jnl
Lab indicators standardization method for the regional healthcare platform: a case study on heart failure.
BMC Medical Informatics Decis. Mak.
Ming Liang, Zhixing Zhang, Jiaying Zhang, Tong Ruan, Qi Ye, Ping He
2020 J jnl
Learning Joint 2D-3D Representations for Depth Completion.
CoRR
Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun
2020 — conf
Learning Lane Graph Representations for Motion Forecasting.
ECCV (2)
Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun
2020 J jnl
Learning Lane Graph Representations for Motion Forecasting.
CoRR
Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun
2020 J jnl
Multi-Task Multi-Sensor Fusion for 3D Object Detection.
CoRR
Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun
2020 J jnl
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving.
CoRR
Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun
2020 A* conf
Physically Realizable Adversarial Examples for LiDAR Object Detection.
CVPR
James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun
2020 J jnl
Physically Realizable Adversarial Examples for LiDAR Object Detection.
CoRR
James Tu, Mengye Ren, Siva Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun
2020 A* conf
PnPNet: End-to-End Perception and Prediction With Tracking in the Loop.
CVPR
Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun
2020 J jnl
PnPNet: End-to-End Perception and Prediction with Tracking in the Loop.
CoRR
Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun
2020 — conf
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects.
ECCV (18)
Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun
2020 J jnl
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects.
CoRR
Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun
2020 Misc conf
Recovering and Simulating Pedestrians in the Wild.
CoRL
Ze Yang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun
2020 J jnl
Recovering and Simulating Pedestrians in the Wild.
CoRR
Ze Yang, Siva Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun
2020 — conf
Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction.
ECCV (26)
Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun
2020 J jnl
Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction.
CoRR
Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun
2020 — conf
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction.
ECCV (2)
Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, Raquel Urtasun
2020 J jnl
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction.
CoRR
Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, James Tu, Raquel Urtasun
2019 — conf
A Cost Benefit Study of using Energy Storage to Provide Regulation Services.
ISGT
Yao Meng, Ming Liang, Ning Lu
2019 J jnl
A Hierarchical Control Structure for Distributed Energy Storage System in DC Micro-Grid.
IEEE Access
Wei Jiang, Chen Yang, Zhong Liu, Ming Liang, Peipei Li, Guozheng Zhou
2019 J jnl
Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network.
IEEE Trans. Neural Networks Learn. Syst.
Fangzhou Liao, Ming Liang, Zhe Li, Xiaolin Hu, Sen Song
2019 — conf
HVAC load Disaggregation using Low-resolution Smart Meter Data.
ISGT
Ming Liang, Yao Meng, Ning Lu, David Lubkeman, Andrew Kling
2019 Misc conf
Identifying Unknown Instances for Autonomous Driving.
CoRL
Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun
2019 J jnl
Identifying Unknown Instances for Autonomous Driving.
CoRR
Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun
2019 A* conf
Learning Joint 2D-3D Representations for Depth Completion.
ICCV
Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun
2019 J jnl
Multi-Mode Two-Step Floating Catchment Area (2SFCA) Method to Measure the Potential Spatial Accessibility of Healthcare Services.
ISPRS Int. J. Geo Inf.
Jianhua Ni, Ming Liang, Yan Lin, Yanlan Wu, Chen Wang
2019 A* conf
Multi-Task Multi-Sensor Fusion for 3D Object Detection.
CVPR
Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun
2019 J jnl
Region Growing Algorithm Combined With Fast Peak Detection for Segmenting Colloidal Gold Immunochromatographic Strip Images.
IEEE Access
Wensheng Guo, Yue Zhang, Xiaoyan Hu, Ting Zhang, Ming Liang, Xiangliang Yang, Hai Yang
2019 J jnl
Velocity Synchronous Linear Chirplet Transform.
IEEE Trans. Ind. Electron.
Yunpeng Guan, Ming Liang, Dan-Sorin Necsulescu
2018 J jnl
Adversarial Attacks and Defences Competition.
CoRR
Alexey Kurakin, Ian J. Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan L. Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe
2018 J jnl
Automatic instantaneous frequency order (IFO) extraction via integration strategy and multi-demodulation for bearing fault diagnosis under variable speed operation.
J. Intell. Fuzzy Syst.
Juanjuan Shi, Xingxing Jiang, Ming Liang, Rongmei Ding, Zhongkui Zhu
2018 — conf
Deep Continuous Fusion for Multi-sensor 3D Object Detection.
ECCV (16)
Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun
2018 A* conf
Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser.
CVPR
Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Xiaolin Hu, Jun Zhu
2018 Misc conf
HDNET: Exploiting HD Maps for 3D Object Detection.
CoRL
Bin Yang, Ming Liang, Raquel Urtasun
2017 J jnl
A Contact-Aided Asymmetric Steerable Catheter for Atrial Fibrillation Ablation.
IEEE Robotics Autom. Lett.
Anzhu Gao, Yun Zou, Ming Liang, Zulu Wang, Zhidong Wang, Hao Liu
2017 J jnl
Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser.
CoRR
Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Jun Zhu, Xiaolin Hu
2017 J jnl
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network.
CoRR
Fangzhou Liao, Ming Liang, Zhe Li, Xiaolin Hu, Sen Song
2016 J jnl
Intelligent bearing fault signature extraction via iterative oscillatory behavior based signal decomposition (IOBSD).
Expert Syst. Appl.
Juanjuan Shi, Ming Liang
2016 J jnl
Modeling study of solid-particle erosion with consideration of particle velocity dependent model parameters.
Int. J. Model. Simul. Sci. Comput.
Shijie Qian, Kuiying Chen, Rong Liu, Ming Liang
2015 — conf
Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling.
NIPS
Ming Liang, Xiaolin Hu, Bo Zhang
2015 — conf
Fault feature extraction of planetary gearboxes under nonstationary conditions based on reassigned wavelet scalogram.
I2MTC
Xiaowang Chen, Zhipeng Feng, Ming Liang
2015 J jnl
Feature Selection in Supervised Saliency Prediction.
IEEE Trans. Cybern.
Ming Liang, Xiaolin Hu
2015 J jnl
Predicting Eye Fixations With Higher-Level Visual Features.
IEEE Trans. Image Process.
Ming Liang, Xiaolin Hu
2015 A* conf
Recurrent convolutional neural network for object recognition.
CVPR
Ming Liang, Xiaolin Hu
2014 A* conf
A Reverse Hierarchy Model for Predicting Eye Fixations.
CVPR
Tianlin Shi, Ming Liang, Xiaolin Hu
2014 J jnl
A Reverse Hierarchy Model for Predicting Eye Fixations.
CoRR
Tianlin Shi, Ming Liang, Xiaolin Hu
2014 J jnl
Analytical modeling of oxide thickness variation of metals under high temperature solid-particle erosion.
Int. J. Model. Simul. Sci. Comput.
Ju Chen, Kuiying Chen, Rong Liu, Ming Liang
2014 J jnl
Enhancement of the Wear Particle Monitoring Capability of Oil Debris Sensors Using a Maximal Overlap Discrete Wavelet Transform with Optimal Decomposition Depth.
Sensors
Chuan Li, Juan Peng, Ming Liang
2013 J jnl
An integrated approach to worker assignment, workforce flexibility acquisition, and task rotation.
J. Oper. Res. Soc.
Nader Azizi, Ming Liang
2013 B conf
Traffic sign detection by ROI extraction and histogram features-based recognition.
IJCNN
Ming Liang, Mingyi Yuan, Xiaolin Hu, Jianmin Li, Huaping Liu
2012 J jnl
A generalized synchrosqueezing transform for enhancing signal time-frequency representation.
Signal Process.
Chuan Li, Ming Liang
2012 J jnl
Wavelet-Based Detection of Beam Cracks Using Modal Shape and Frequency Measurements.
Comput. Aided Civ. Infrastructure Eng.
Jiawei Xiang, Ming Liang
2011 — conf
Bearing fault diagnosis of a wind turbine using maximum likelihood detection.
EMEIT
Shenggang Yang, Xiaoli Li, Ming Liang
2011 J jnl
Covariance Tracking with Forgetting Factor and Random Sampling.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Xuguang Zhang, Xiaoli Li, Ming Liang, Yanjie Wang
2010 — conf
Pedagogical Strategy Model in Adaptive Learning System Focusing on Learning Styles.
Edutainment
Hongxia Liu, Wei Zhao, Ming Liang
2009 C conf
Oil debris signal analysis based on empirical mode decomposition for machinery condition monitoring.
ACC
Iman Soltani Bozchalooi, Ming Liang
2008 C conf
Enhancement of the signals collected by oil debris sensors.
ACC
Iman Soltani Bozchalooi, Ming Liang
2007 C conf
A Combined Spectral Subtraction and Wavelet De-Noising Method for Bearing Fault Diagnosis.
ACC
Iman Soltani Bozchalooi, Ming Liang
2007 — conf
A New Meta-heuristic Approach for Combinatorial Optimization and Scheduling Problems.
CISched
Nader Azizi, Saeed Zolfaghari, Ming Liang
2006 B conf
A Particle Swarm Optimization Approach to A Multi-objective Reconfigurable Machine Tool Design Problem.
IEEE Congress on Evolutionary Computation
Wei Liu, Ming Liang
2005 B conf
A Joint Link and Content Approach to Information Retrieval and Distillation.
CEC
Yongsheng Liu, Ming Liang
2005 — conf
De-noising mechanical signals by hybrid thresholding.
ROSE
Hoonbin Hong, Ming Liang
2005 B conf
Solving the combined modular product scheduling and production cell reconfiguration problem: a GA approach with parallel chromosome coding.
Congress on Evolutionary Computation
Hegui Ye, Ming Liang
2004 J jnl
A Practical Radiosity Method for Predicting Transmission Loss in Urban Environments.
EURASIP J. Wirel. Commun. Netw.
Ming Liang, Qin Liu
2004 J jnl
Erratum to "A new genetic algorithm for the machine/part grouping problem involving processing times and lot sizes" [Computers & Industrial Engineering 45 (4) (2003) 713-731].
Comput. Ind. Eng.
Saeed Zolfaghari, Ming Liang
2003 J jnl
A new genetic algorithm for the machine/part grouping problem involving processing times and lot sizes.
Comput. Ind. Eng.
Saeed Zolfaghari, Ming Liang
2001 J jnl
Fuzzy mapping of requirements onto functions in detail design.
Comput. Aided Des.
Chang-Xue Feng, Pei-Gen Li, Ming Liang
1999 J jnl
Machine cell formation considering processing times and machine capacities: An ortho-synapse Hopfield neural network approach.
J. Intell. Manuf.
Ming Liang, Saeed Zolfaghari