| 2020 | ICLR | Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells. | Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao |
| 2020 | IJCAI | Overflow Aware Quantization: Accelerating Neural Network Inference by Low-bit Multiply-Accumulate Operations. | Hongwei Xie, Yafei Song, Ling Cai, Mingyang Li |
| 2019 | AAAI | M2Det: A Single-Shot Object Detector Based on Multi-Level Feature Pyramid Network. | Qijie Zhao, Tao Sheng, Yongtao Wang, Zhi Tang, Ying Chen, Ling Cai, Haibin Ling |
| 2018 | ICIP | Gamma Mixture Models for Outlier Removal. | Xin Wu, Ling Cai, Rongrong Ji |
| 2016 | ICASSP | Multiple instance learning for model ensemble and meta data transfer. | Yu Chen, Ling Cai, Yuming Zhao, Fuqiao Hu |
| 2015 | ICASSP | Interactive on-device Mobile Landmark Recognition with compact binary codes. | Tao Guan, Liujuan Cao, Ling Cai, Rongrong Ji |
| 2015 | ICASSP | Forward stereo obstacle detection with Weighted Hough Transform and local temporal correlation. | Feng Guo, Ling Cai, Ying Lin, Rongrong Ji |
| 2015 | ICIP | An effective eye states detection method based on the projection of the gray interval distribution. | Xianming Lin, Ling Cai, Rongrong Ji |
| 2015 | IJCAI | Modeling Inter- and Intra-Part Deformations for Object Structure Parsing. | Ling Cai, Rongrong Ji, Wei Liu, Gang Hua |
| 2014 | ICIP | A scene-specific deformable part-based model for object detection. | Yinghua Zhang, Ling Cai, Luyan Chen, Yuming Zhao |
| 2014 | ICPR | Object Segmentation Based on Contour-Skeleton Duality. | Ling Cai, Fengna Wang, Valentin Enescu, Hichem Sahli |
| 2009 | ACCV | An Effective Segmentation for Noise-Based Image Verification Using Gamma Mixture Models. | Ling Cai, Yiren Xu, Lei He, Yuming Zhao, Xin Yang |