Ming Liang

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 67

Top Topics

Convolutional Neural Network

Object Detection

Pulmonary Nodules

Top Venues

Publications

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)
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)
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 (2024)
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)
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 (2023)
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 (2023)
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) (2023)
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)
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) (2022)
Yupian Lin, Tong Ruan, Ming Liang, Tingting Cai, Wen Du, Yi Wang
DoTAT: A Domain-oriented Text Annotation Tool. ACL (demo) (2022)
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)
Ming Liang, Kui Xue, Tong Ruan
A multi-perspective combined recall and rank framework for Chinese procedure terminology normalization. CoRR (2021)
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)
Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun
PLUME: Efficient 3D Object Detection from Stereo Images. CoRR (2021)
Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun
PLUMENet: Efficient 3D Object Detection from Stereo Images. IROS (2021)
Wenyuan Zeng, Ming Liang, Renjie Liao, Raquel Urtasun
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting. CoRR (2021)
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 (2021)
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) (2021)
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) (2021)
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)
Wenyuan Zeng, Ming Liang, Renjie Liao, Raquel Urtasun
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting. IROS (2021)
Bin Yang, Min Bai, Ming Liang, Wenyuan Zeng, Raquel Urtasun
Auto4D: Learning to Label 4D Objects from Sequential Point Clouds. CoRR (2021)
Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun
Multi-Task Multi-Sensor Fusion for 3D Object Detection. CoRR (2020)
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 (2020)
Ze Yang, Siva Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun
Recovering and Simulating Pedestrians in the Wild. CoRR (2020)
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)
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 (2020)
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 (2020)
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. (14) (2020)
Ming Liang, Yao Meng, Jiyu Wang, David Lubkeman, Ning Lu
FeederGAN: Synthetic Feeder Generation via Deep Graph Adversarial Nets. CoRR (2020)
Ze Yang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun
Recovering and Simulating Pedestrians in the Wild. CoRL (2020)
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) (2020)
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)
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)
Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving. CoRR (2020)
Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects. ECCV (18) (2020)
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)
Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun
Learning Lane Graph Representations for Motion Forecasting. CoRR (2020)
Bin Yang, Ming Liang, Raquel Urtasun
HDNET: Exploiting HD Maps for 3D Object Detection. CoRR (2020)
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 (2020)
Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects. CoRR (2020)
Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun
Learning Lane Graph Representations for Motion Forecasting. ECCV (2) (2020)
Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun
Deep Continuous Fusion for Multi-Sensor 3D Object Detection. CoRR (2020)
Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun
Learning Joint 2D-3D Representations for Depth Completion. CoRR (2020)
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 (2020)
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)
Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun
Multi-Task Multi-Sensor Fusion for 3D Object Detection. CVPR (2019)
Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun
Learning Joint 2D-3D Representations for Depth Completion. ICCV (2019)
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 (2019)
Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun
Identifying Unknown Instances for Autonomous Driving. CoRL (2019)
Ming Liang, Yao Meng, Ning Lu, David Lubkeman, Andrew Kling
HVAC load Disaggregation using Low-resolution Smart Meter Data. ISGT (2019)
Yao Meng, Ming Liang, Ning Lu
A Cost Benefit Study of using Energy Storage to Provide Regulation Services. ISGT (2019)
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) (2019)
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) (2019)
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 (2019)
Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun
Identifying Unknown Instances for Autonomous Driving. CoRR (2019)
Yunpeng Guan, Ming Liang, Dan-Sorin Necsulescu
Velocity Synchronous Linear Chirplet Transform. IEEE Trans. Ind. Electron. 66 (8) (2019)
Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Xiaolin Hu, Jun Zhu
Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser. CVPR (2018)
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) (2018)
Bin Yang, Ming Liang, Raquel Urtasun
HDNET: Exploiting HD Maps for 3D Object Detection. CoRL (2018)
Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun
Deep Continuous Fusion for Multi-sensor 3D Object Detection. ECCV (16) (2018)
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 (2018)
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 (2017)
Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Jun Zhu, Xiaolin Hu
Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser. CoRR (2017)
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) (2017)
Juanjuan Shi, Ming Liang
Intelligent bearing fault signature extraction via iterative oscillatory behavior based signal decomposition (IOBSD). Expert Syst. Appl. 45 (2016)
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) (2016)
Ming Liang, Xiaolin Hu
Predicting Eye Fixations With Higher-Level Visual Features. IEEE Trans. Image Process. 24 (3) (2015)
Ming Liang, Xiaolin Hu
Feature Selection in Supervised Saliency Prediction. IEEE Trans. Cybern. 45 (5) (2015)
Ming Liang, Xiaolin Hu, Bo Zhang
Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling. NIPS (2015)
Xiaowang Chen, Zhipeng Feng, Ming Liang
Fault feature extraction of planetary gearboxes under nonstationary conditions based on reassigned wavelet scalogram. I2MTC (2015)
Ming Liang, Xiaolin Hu
Recurrent convolutional neural network for object recognition. CVPR (2015)
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) (2014)
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) (2014)
Tianlin Shi, Ming Liang, Xiaolin Hu
A Reverse Hierarchy Model for Predicting Eye Fixations. CoRR (2014)
Tianlin Shi, Ming Liang, Xiaolin Hu
A Reverse Hierarchy Model for Predicting Eye Fixations. CVPR (2014)
Ming Liang, Mingyi Yuan, Xiaolin Hu, Jianmin Li, Huaping Liu
Traffic sign detection by ROI extraction and histogram features-based recognition. IJCNN (2013)
Nader Azizi, Ming Liang
An integrated approach to worker assignment, workforce flexibility acquisition, and task rotation. J. Oper. Res. Soc. 64 (2) (2013)
Jiawei Xiang, Ming Liang
Wavelet-Based Detection of Beam Cracks Using Modal Shape and Frequency Measurements. Comput. Aided Civ. Infrastructure Eng. 27 (6) (2012)
Chuan Li, Ming Liang
A generalized synchrosqueezing transform for enhancing signal time-frequency representation. Signal Process. 92 (9) (2012)
Shenggang Yang, Xiaoli Li, Ming Liang
Bearing fault diagnosis of a wind turbine using maximum likelihood detection. EMEIT (2011)
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) (2011)
Hongxia Liu, Wei Zhao, Ming Liang
Pedagogical Strategy Model in Adaptive Learning System Focusing on Learning Styles. Edutainment (2010)
I. Soltani Bozchalooi, Ming Liang
Oil debris signal analysis based on empirical mode decomposition for machinery condition monitoring. ACC (2009)
I. Soltani Bozchalooi, Ming Liang
Enhancement of the signals collected by oil debris sensors. ACC (2008)
I. Soltani Bozchalooi, Ming Liang
A Combined Spectral Subtraction and Wavelet De-Noising Method for Bearing Fault Diagnosis. ACC (2007)
Nader Azizi, Saeed Zolfaghari, Ming Liang
A New Meta-heuristic Approach for Combinatorial Optimization and Scheduling Problems. CISched (2007)
Wei Liu, Ming Liang
A Particle Swarm Optimization Approach to A Multi-objective Reconfigurable Machine Tool Design Problem. IEEE Congress on Evolutionary Computation (2006)
Hoonbin Hong, Ming Liang
De-noising mechanical signals by hybrid thresholding. ROSE (2005)
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)
Yongsheng Liu, Ming Liang
A Joint Link and Content Approach to Information Retrieval and Distillation. CEC (2005)
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) (2004)
Ming Liang, Qin Liu
A Practical Radiosity Method for Predicting Transmission Loss in Urban Environments. EURASIP J. Wirel. Commun. Netw. 2004 (2) (2004)
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) (2003)
Chang-Xue Feng, Pei-Gen Li, Ming Liang
Fuzzy mapping of requirements onto functions in detail design. Comput. Aided Des. 33 (6) (2001)
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) (1999)