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2020 – today
- 2025
[j29]Liping Xie, Lindong Wang, Dongze Mo, Zelin Zhang, Ming Liang:
Intelligent algorithms powered smart devices for atrial fibrillation discrimination. Biomed. Signal Process. Control. 103: 107480 (2025)- 2024
- [c43]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:
CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model. ICSE-SEIP 2024: 418-429 - [c42]Ming Liang, Xiaoheng Xie, Gehao Zhang, Xunjin Zheng, Peng Di, Wei Jiang, Hongwei Chen, Chengpeng Wang, Gang Fan:
RepoGenix: Dual Context-Aided Repository-Level Code Completion with Language Models. ASE 2024: 2466-2467 - [c41]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:
MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning. KDD 2024: 5430-5441 - [c40]Jie Li, Weiquan Deng, Chongyang Wang, Haoning Cheng, Junlin Cui, Ming Liang, Hao Liu:
A Hollow FBG-Based 3-Axis Force Sensor for Surgical Robots. RCAR 2024: 56-61 - [i28]Ming Liang, Xiaoheng Xie, Gehao Zhang, Xunjin Zheng, Peng Di, Wei Jiang, Hongwei Chen, Chengpeng Wang, Gang Fan:
REPOFUSE: Repository-Level Code Completion with Fused Dual Context. CoRR abs/2402.14323 (2024) - [i27]Chuyang Xu, Zhongxin Liu, Xiaoxue Ren, Gehao Zhang, Ming Liang, David Lo:
FlexFL: Flexible and Effective Fault Localization with Open-Source Large Language Models. CoRR abs/2411.10714 (2024) - 2023
- [j28]Ming Liang, Yunfeng Zhang, Yuepeng Jiao, Jianjiang Wang, Linping Su, Zhanyong Yao:
Novel Weigh-in-Motion Pavement Sensor Based on Self-Sensing Nanocomposites for Vehicle Load Identification: Development, Performance Testing, and Validation. Sensors 23(10): 4758 (2023) - [c39]Kangshuai Guo, Shichao Luo, Ming Liang, Zhongjian Zhang, Huabin Yang, Yan Wang, Yingjie Zhou:
Credit Default Prediction on Time-Series Behavioral Data Using Ensemble Models. IJCNN 2023: 1-9 - [i26]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:
CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model. CoRR abs/2310.06266 (2023) - [i25]Bingchang Liu, Chaoyu Chen, Cong Liao, Zi Gong, Huan Wang, Zhichao Lei, Ming Liang, Dajun Chen, Min Shen, Hailian Zhou, Hang Yu, Jianguo Li:
MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning. CoRR abs/2311.02303 (2023) - 2022
- [j27]Jianhua Ni, Jie Chen, Yanlan Wu, Zihao Chen, Ming Liang:
Method to Determine the Centroid of Non-Homogeneous Polygons Based on Suspension Theory. ISPRS Int. J. Geo Inf. 11(4): 233 (2022) - [c38]Yupian Lin, Tong Ruan, Ming Liang, Tingting Cai, Wen Du, Yi Wang:
DoTAT: A Domain-oriented Text Annotation Tool. ACL (demo) 2022: 1-8 - [c37]Baoqiang Zhang, Yang Li, Jin Li, Bin Fan, Ming Liang, Chao Hu:
Conformance requirements and test standard research for communication protocols of electric vehicle wireless power transfer. AIAM 2022: 802-804 - [c36]Jie Li, Yang Liao, Peng Lin, Liming Zheng, Chongyang Wang, Jiatao Luo, Ming Liang, Hao Liu:
Design and experimental verification of a novel master manipulator with force feedback for vascular interventional robot. ROBIO 2022: 2045-2050 - 2021
- [j26]Ming Liang, Kui Xue, Qi Ye, Tong Ruan:
A combined recall and rank framework with online negative sampling for Chinese procedure terminology normalization. Bioinform. 37(20): 3610-3617 (2021) - [j25]Ming Liang, Yao Meng, Jiyu Wang, David Lubkeman, Ning Lu:
FeederGAN: Synthetic Feeder Generation via Deep Graph Adversarial Nets. IEEE Trans. Smart Grid 12(2): 1163-1173 (2021) - [c35]James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun:
Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving. CoRL 2021: 1013-1024 - [c34]Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun:
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving. ICRA 2021: 4875-4881 - [c33]Wenyuan Zeng, Ming Liang, Renjie Liao, Raquel Urtasun:
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting. IROS 2021: 532-539 - [c32]Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun:
PLUMENet: Efficient 3D Object Detection from Stereo Images. IROS 2021: 3383-3390 - [i24]Bin Yang, Min Bai, Ming Liang, Wenyuan Zeng, Raquel Urtasun:
Auto4D: Learning to Label 4D Objects from Sequential Point Clouds. CoRR abs/2101.06586 (2021) - [i23]Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun:
PLUME: Efficient 3D Object Detection from Stereo Images. CoRR abs/2101.06594 (2021) - [i22]Wenyuan Zeng, Ming Liang, Renjie Liao, Raquel Urtasun:
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting. CoRR abs/2101.06653 (2021) - [i21]James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun:
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving. CoRR abs/2101.06784 (2021) - [i20]Ming Liang, Kui Xue, Tong Ruan:
A multi-perspective combined recall and rank framework for Chinese procedure terminology normalization. CoRR abs/2101.09101 (2021) - 2020
- [j24]Ming Liang, Zhixing Zhang, Jiaying Zhang, Tong Ruan, Qi Ye, Ping He:
Lab indicators standardization method for the regional healthcare platform: a case study on heart failure. BMC Medical Informatics Decis. Mak. 20-S(14): 331 (2020) - [j23]Jiyu Wang, Xiangqi Zhu, Ming Liang, Yao Meng, Andrew Kling, David Lubkeman, Ning Lu:
A Data-Driven Pivot-Point-Based Time-Series Feeder Load Disaggregation Method. IEEE Trans. Smart Grid 11(6): 5396-5406 (2020) - [c31]Ze Yang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun:
Recovering and Simulating Pedestrians in the Wild. CoRL 2020: 419-431 - [c30]Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun:
PnPNet: End-to-End Perception and Prediction With Tracking in the Loop. CVPR 2020: 11550-11559 - [c29]James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun:
Physically Realizable Adversarial Examples for LiDAR Object Detection. CVPR 2020: 13713-13722 - [c28]Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun:
Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction. ECCV (26) 2020: 312-329 - [c27]Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun:
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects. ECCV (18) 2020: 496-512 - [c26]Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun:
Learning Lane Graph Representations for Motion Forecasting. ECCV (2) 2020: 541-556 - [c25]Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, Raquel Urtasun:
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction. ECCV (2) 2020: 605-621 - [c24]Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, Raquel Urtasun:
End-to-end Contextual Perception and Prediction with Interaction Transformer. IROS 2020: 5784-5791 - [i19]James Tu, Mengye Ren, Siva Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun:
Physically Realizable Adversarial Examples for LiDAR Object Detection. CoRR abs/2004.00543 (2020) - [i18]Ming Liang, Yao Meng, Jiyu Wang, David Lubkeman, Ning Lu:
FeederGAN: Synthetic Feeder Generation via Deep Graph Adversarial Nets. CoRR abs/2004.01407 (2020) - [i17]Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun:
PnPNet: End-to-End Perception and Prediction with Tracking in the Loop. CoRR abs/2005.14711 (2020) - [i16]Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun:
Learning Lane Graph Representations for Motion Forecasting. CoRR abs/2007.13732 (2020) - [i15]Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun:
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects. CoRR abs/2007.14366 (2020) - [i14]Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, Raquel Urtasun:
End-to-end Contextual Perception and Prediction with Interaction Transformer. CoRR abs/2008.05927 (2020) - [i13]Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun:
Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction. CoRR abs/2008.06020 (2020) - [i12]Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, James Tu, Raquel Urtasun:
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction. CoRR abs/2008.07519 (2020) - [i11]Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun:
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving. CoRR abs/2011.01153 (2020) - [i10]Ze Yang, Siva Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun:
Recovering and Simulating Pedestrians in the Wild. CoRR abs/2011.08106 (2020) - [i9]Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun:
Deep Continuous Fusion for Multi-Sensor 3D Object Detection. CoRR abs/2012.10992 (2020) - [i8]Bin Yang, Ming Liang, Raquel Urtasun:
HDNET: Exploiting HD Maps for 3D Object Detection. CoRR abs/2012.11704 (2020) - [i7]Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun:
Multi-Task Multi-Sensor Fusion for 3D Object Detection. CoRR abs/2012.12397 (2020) - [i6]Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun:
Learning Joint 2D-3D Representations for Depth Completion. CoRR abs/2012.12402 (2020)
2010 – 2019
- 2019
- [j22]Wei Jiang, Chen Yang, Zhong Liu, Ming Liang, Peipei Li, Guozheng Zhou:
A Hierarchical Control Structure for Distributed Energy Storage System in DC Micro-Grid. IEEE Access 7: 128787-128795 (2019) - [j21]Wensheng Guo, Yue Zhang, Xiaoyan Hu, Ting Zhang, Ming Liang, Xiangliang Yang, Hai Yang:
Region Growing Algorithm Combined With Fast Peak Detection for Segmenting Colloidal Gold Immunochromatographic Strip Images. IEEE Access 7: 169715-169723 (2019) - [j20]Jianhua Ni, Ming Liang, Yan Lin, Yanlan Wu, Chen Wang:
Multi-Mode Two-Step Floating Catchment Area (2SFCA) Method to Measure the Potential Spatial Accessibility of Healthcare Services. ISPRS Int. J. Geo Inf. 8(5): 236 (2019) - [j19]Yunpeng Guan, Ming Liang, Dan-Sorin Necsulescu:
Velocity Synchronous Linear Chirplet Transform. IEEE Trans. Ind. Electron. 66(8): 6270-6280 (2019) - [j18]Fangzhou Liao, Ming Liang, Zhe Li, Xiaolin Hu, Sen Song:
Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network. IEEE Trans. Neural Networks Learn. Syst. 30(11): 3484-3495 (2019) - [c23]Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun:
Identifying Unknown Instances for Autonomous Driving. CoRL 2019: 384-393 - [c22]Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun:
Multi-Task Multi-Sensor Fusion for 3D Object Detection. CVPR 2019: 7345-7353 - [c21]Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun:
Learning Joint 2D-3D Representations for Depth Completion. ICCV 2019: 10022-10031 - [c20]Ming Liang, Yao Meng, Ning Lu, David Lubkeman, Andrew Kling:
HVAC load Disaggregation using Low-resolution Smart Meter Data. ISGT 2019: 1-5 - [c19]Yao Meng, Ming Liang, Ning Lu:
A Cost Benefit Study of using Energy Storage to Provide Regulation Services. ISGT 2019: 1-5 - [i5]Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun:
Identifying Unknown Instances for Autonomous Driving. CoRR abs/1910.11296 (2019) - 2018
- [j17]Juanjuan Shi, Xingxing Jiang, Ming Liang, Rongmei Ding, Zhongkui Zhu:
Automatic instantaneous frequency order (IFO) extraction via integration strategy and multi-demodulation for bearing fault diagnosis under variable speed operation. J. Intell. Fuzzy Syst. 34(6): 3547-3563 (2018) - [c18]Bin Yang, Ming Liang, Raquel Urtasun:
HDNET: Exploiting HD Maps for 3D Object Detection. CoRL 2018: 146-155 - [c17]Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Xiaolin Hu, Jun Zhu:
Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser. CVPR 2018: 1778-1787 - [c16]Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun:
Deep Continuous Fusion for Multi-sensor 3D Object Detection. ECCV (16) 2018: 663-678 - [i4]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:
Adversarial Attacks and Defences Competition. CoRR abs/1804.00097 (2018) - 2017
- [j16]Anzhu Gao, Yun Zou, Ming Liang, Zulu Wang, Zhidong Wang, Hao Liu:
A Contact-Aided Asymmetric Steerable Catheter for Atrial Fibrillation Ablation. IEEE Robotics Autom. Lett. 2(3): 1525-1531 (2017) - [i3]Fangzhou Liao, Ming Liang, Zhe Li, Xiaolin Hu, Sen Song:
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network. CoRR abs/1711.08324 (2017) - [i2]Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Jun Zhu, Xiaolin Hu:
Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser. CoRR abs/1712.02976 (2017) - 2016
- [j15]Juanjuan Shi, Ming Liang:
Intelligent bearing fault signature extraction via iterative oscillatory behavior based signal decomposition (IOBSD). Expert Syst. Appl. 45: 40-55 (2016) - [j14]Shijie Qian, Kuiying Chen, Rong Liu, Ming Liang:
Modeling study of solid-particle erosion with consideration of particle velocity dependent model parameters. Int. J. Model. Simul. Sci. Comput. 7(3): 1650026:1-1650026:20 (2016) - 2015
- [j13]Ming Liang, Xiaolin Hu:
Feature Selection in Supervised Saliency Prediction. IEEE Trans. Cybern. 45(5): 900-912 (2015) - [j12]Ming Liang, Xiaolin Hu:
Predicting Eye Fixations With Higher-Level Visual Features. IEEE Trans. Image Process. 24(3): 1178-1189 (2015) - [c15]Ming Liang, Xiaolin Hu:
Recurrent convolutional neural network for object recognition. CVPR 2015: 3367-3375 - [c14]Xiaowang Chen, Zhipeng Feng, Ming Liang:
Fault feature extraction of planetary gearboxes under nonstationary conditions based on reassigned wavelet scalogram. I2MTC 2015: 294-299 - [c13]Ming Liang, Xiaolin Hu, Bo Zhang:
Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling. NIPS 2015: 937-945 - 2014
- [j11]Ju Chen, Kuiying Chen, Rong Liu, Ming Liang:
Analytical modeling of oxide thickness variation of metals under high temperature solid-particle erosion. Int. J. Model. Simul. Sci. Comput. 5(3): 1450002 (2014) - [j10]Chuan Li, Juan Peng, Ming Liang:
Enhancement of the Wear Particle Monitoring Capability of Oil Debris Sensors Using a Maximal Overlap Discrete Wavelet Transform with Optimal Decomposition Depth. Sensors 14(4): 6207-6228 (2014) - [c12]Tianlin Shi, Ming Liang, Xiaolin Hu:
A Reverse Hierarchy Model for Predicting Eye Fixations. CVPR 2014: 2822-2829 - [i1]Tianlin Shi, Ming Liang, Xiaolin Hu:
A Reverse Hierarchy Model for Predicting Eye Fixations. CoRR abs/1404.2999 (2014) - 2013
- [j9]Nader Azizi, Ming Liang:
An integrated approach to worker assignment, workforce flexibility acquisition, and task rotation. J. Oper. Res. Soc. 64(2): 260-275 (2013) - [c11]Ming Liang, Mingyi Yuan, Xiaolin Hu, Jianmin Li, Huaping Liu:
Traffic sign detection by ROI extraction and histogram features-based recognition. IJCNN 2013: 1-8 - 2012
- [j8]Jiawei Xiang, Ming Liang:
Wavelet-Based Detection of Beam Cracks Using Modal Shape and Frequency Measurements. Comput. Aided Civ. Infrastructure Eng. 27(6): 439-454 (2012) - [j7]Chuan Li, Ming Liang:
A generalized synchrosqueezing transform for enhancing signal time-frequency representation. Signal Process. 92(9): 2264-2274 (2012) - 2011
- [j6]Xuguang Zhang, Xiaoli Li, Ming Liang, Yanjie Wang:
Covariance Tracking with Forgetting Factor and Random Sampling. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 19(3): 547-558 (2011) - [c10]Shenggang Yang, Xiaoli Li, Ming Liang:
Bearing fault diagnosis of a wind turbine using maximum likelihood detection. EMEIT 2011: 3039-3042 - 2010
- [c9]Hongxia Liu, Wei Zhao, Ming Liang:
Pedagogical Strategy Model in Adaptive Learning System Focusing on Learning Styles. Edutainment 2010: 156-164
2000 – 2009
- 2009
- [c8]I. Soltani Bozchalooi, Ming Liang:
Oil debris signal analysis based on empirical mode decomposition for machinery condition monitoring. ACC 2009: 4310-4315 - 2008
- [c7]I. Soltani Bozchalooi, Ming Liang:
Enhancement of the signals collected by oil debris sensors. ACC 2008: 2810-2815 - 2007
- [c6]Iman Soltani Bozchalooi, Ming Liang:
A Combined Spectral Subtraction and Wavelet De-Noising Method for Bearing Fault Diagnosis. ACC 2007: 2533-2538 - [c5]Nader Azizi, Saeed Zolfaghari, Ming Liang:
A New Meta-heuristic Approach for Combinatorial Optimization and Scheduling Problems. CISched 2007: 7-14 - 2006
- [c4]Wei Liu, Ming Liang:
A Particle Swarm Optimization Approach to A Multi-objective Reconfigurable Machine Tool Design Problem. IEEE Congress on Evolutionary Computation 2006: 2222-2229 - 2005
- [c3]Hegui Ye, Ming Liang:
Solving the combined modular product scheduling and production cell reconfiguration problem: a GA approach with parallel chromosome coding. Congress on Evolutionary Computation 2005: 1348-1355 - [c2]Hoonbin Hong, Ming Liang:
De-noising mechanical signals by hybrid thresholding. ROSE 2005: 65-70 - [c1]Yongsheng Liu, Ming Liang:
A Joint Link and Content Approach to Information Retrieval and Distillation. CEC 2005: 207-214 - 2004
- [j5]Saeed Zolfaghari, Ming Liang:
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. 46(3): 589 (2004) - [j4]Ming Liang, Qin Liu:
A Practical Radiosity Method for Predicting Transmission Loss in Urban Environments. EURASIP J. Wirel. Commun. Netw. 2004(2): 357-364 (2004) - 2003
- [j3]Saeed Zolfaghari, Ming Liang:
A new genetic algorithm for the machine/part grouping problem involving processing times and lot sizes. Comput. Ind. Eng. 45(4): 713-731 (2003) - 2001
- [j2]Chang-Xue Feng, Pei-Gen Li, Ming Liang:
Fuzzy mapping of requirements onto functions in detail design. Comput. Aided Des. 33(6): 425-437 (2001)
1990 – 1999
- 1999
- [j1]Ming Liang, Saeed Zolfaghari:
Machine cell formation considering processing times and machine capacities: An ortho-synapse Hopfield neural network approach. J. Intell. Manuf. 10(5): 437-447 (1999)
Coauthor Index
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