Ming Liang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
13
Active years
2005–2026
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | EGSS: Entropy-guided Stepwise Scaling for Reliable Software Engineering. | Chenhui Mao, Yuanting Lei, Zhixiang Wei, Ming Liang, Zhixiang Wang, Jingxuan Xu, Dajun Chen, Wei Jiang, Yong Li |
| 2026 | ACL | FuseSearch: Learning Adaptive Parallel Execution for Efficient Code Localization. | Ke Xu, Siyang Xiao, Ming Liang, Yichen Yu, Zhixiang Wang, Jingxuan Xu, Dajun Chen, Wei Jiang, Yong Li |
| 2025 | ISSTA | FuseApplyBench: Multilingual Benchmark for Trustworthy Code Edit Applying Task. | Ming Liang, Qingyu Zhang, Zhipeng Zuo, Shaoqiang Zheng, Dajun Chen, Wei Jiang, Yong Li |
| 2024 | ICSE | CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model. | 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 | KDD | MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning. | 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 |
| 2023 | IJCNN | Credit Default Prediction on Time-Series Behavioral Data Using Ensemble Models. | Kangshuai Guo, Shichao Luo, Ming Liang, Zhongjian Zhang, Huabin Yang, Yan Wang, Yingjie Zhou |
| 2022 | ACL | DoTAT: A Domain-oriented Text Annotation Tool. | Yupian Lin, Tong Ruan, Ming Liang, Tingting Cai, Wen Du, Yi Wang |
| 2021 | CoRL | Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving. | James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun |
| 2021 | IROS | PLUMENet: Efficient 3D Object Detection from Stereo Images. | Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun |
| 2021 | IROS | LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting. | Wenyuan Zeng, Ming Liang, Renjie Liao, Raquel Urtasun |
| 2021 | ICRA | Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving. | Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun |
| 2020 | CoRL | Recovering and Simulating Pedestrians in the Wild. | Ze Yang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun |
| 2020 | CVPR | PnPNet: End-to-End Perception and Prediction With Tracking in the Loop. | Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun |
| 2020 | CVPR | Physically Realizable Adversarial Examples for LiDAR Object Detection. | James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun |
| 2020 | ECCV | Learning Lane Graph Representations for Motion Forecasting. | Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun |
| 2020 | ECCV | V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction. | Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, Raquel Urtasun |
| 2020 | ECCV | Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction. | Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun |
| 2020 | ECCV | RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects. | Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun |
| 2020 | IROS | End-to-end Contextual Perception and Prediction with Interaction Transformer. | Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, Raquel Urtasun |
| 2019 | CoRL | Identifying Unknown Instances for Autonomous Driving. | Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun |
| 2019 | CVPR | Multi-Task Multi-Sensor Fusion for 3D Object Detection. | Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun |
| 2019 | ICCV | Learning Joint 2D-3D Representations for Depth Completion. | Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun |
| 2018 | CoRL | HDNET: Exploiting HD Maps for 3D Object Detection. | Bin Yang, Ming Liang, Raquel Urtasun |
| 2018 | CVPR | Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser. | Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Xiaolin Hu, Jun Zhu |
| 2018 | ECCV | Deep Continuous Fusion for Multi-sensor 3D Object Detection. | Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun |
| 2015 | CVPR | Recurrent convolutional neural network for object recognition. | Ming Liang, Xiaolin Hu |
| 2014 | CVPR | A Reverse Hierarchy Model for Predicting Eye Fixations. | Tianlin Shi, Ming Liang, Xiaolin Hu |
| 2013 | IJCNN | Traffic sign detection by ROI extraction and histogram features-based recognition. | Ming Liang, Mingyi Yuan, Xiaolin Hu, Jianmin Li, Huaping Liu |
| 2007 | ACC | A Combined Spectral Subtraction and Wavelet De-Noising Method for Bearing Fault Diagnosis. | Iman Soltani Bozchalooi, Ming Liang |
| 2006 | CEC | A Particle Swarm Optimization Approach to A Multi-objective Reconfigurable Machine Tool Design Problem. | Wei Liu, Ming Liang |
| 2005 | CEC | Solving the combined modular product scheduling and production cell reconfiguration problem: a GA approach with parallel chromosome coding. | Hegui Ye, Ming Liang |