Improving 3D Object Detection Through Progressive Population Based Augmentation. - Shuyang Cheng; Zhaoqi Leng; Ekin Dogus Cubuk; Barret Zoph; Chunyan Bai; Jiquan Ngiam; Yang Song; Benjamin Caine; Vijay Vasudevan; Congcong Li; Quoc V. Le; Jonathon Shlens; et al. (ECCV (21), 2020)

Next POI Recommendation Method Based on Category Preference and Attention Mechanism in LBSNs. - Xueying Wang; Yanheng Liu 001; Xu Zhou 003; Zhaoqi Leng; Xican Wang (APWeb/WAIM (2), 2022)

PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds. - Zhaoqi Leng; Shuyang Cheng; Benjamin Caine; Weiyue Wang 002; Xiao Zhang; Jonathon Shlens; Mingxing Tan; Dragomir Anguelov (ECCV (31), 2022)

LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds. - Chenxi Liu 001; Zhaoqi Leng; Pei Sun; Shuyang Cheng; Charles R. Qi; Yin Zhou; Mingxing Tan; Dragomir Anguelov (ECCV (21), 2022)

SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds. - Pei Sun; Mingxing Tan; Weiyue Wang 002; Chenxi Liu 001; Fei Xia 005; Zhaoqi Leng; Dragomir Anguelov (ECCV (10), 2022)

A Long and Short Term Preference Model for Next Point of Interest Recommendation. - Zhaoqi Leng; Yanheng Liu 001; Xu Zhou 003; Xueying Wang; Xican Wang (ICANN (2), 2022)

PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions. - Zhaoqi Leng; Mingxing Tan; Chenxi Liu 001; Ekin Dogus Cubuk; Jay Shi; Shuyang Cheng; Dragomir Anguelov (ICLR, 2022)

Multi-Class 3D Object Detection with Single-Class Supervision. - Mao Ye; Chenxi Liu 001; Maoqing Yao; Weiyue Wang 002; Zhaoqi Leng; Charles R. Qi; Dragomir Anguelov (ICRA, 2022)

PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions. - Zhaoqi Leng; Mingxing Tan; Chenxi Liu 001; Ekin Dogus Cubuk; Xiaojie Shi; Shuyang Cheng; Dragomir Anguelov (CoRR, 2022)

LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations. - Zhaoqi Leng; Guowang Li; Chenxi Liu 001; Ekin Dogus Cubuk; Pei Sun; Tong He; Dragomir Anguelov; Mingxing Tan (CoRR, 2022)

Long- and Short-Term Preference Modeling Based on Multi-Level Attention for Next POI Recommendation. - Xueying Wang; Yanheng Liu 001; Xu Zhou 003; Zhaoqi Leng; Xican Wang (ISPRS Int. J. Geo Inf., 2022)

A Point-of-Interest Recommendation Method Exploiting Sequential, Category and Geographical Influence. - Xican Wang; Yanheng Liu 001; Xu Zhou 003; Xueying Wang; Zhaoqi Leng (ISPRS Int. J. Geo Inf., 2022)

Lidar Augment: Searching for Scalable 3D LiDAR Data Augmentations. - Zhaoqi Leng; Guowang Li; Chenxi Liu 001; Ekin Dogus Cubuk; Pei Sun; Tong He; Dragomir Anguelov; Mingxing Tan (ICRA, 2023)

LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection. - Tong He; Pei Sun; Zhaoqi Leng; Chenxi Liu 001; Dragomir Anguelov; Mingxing Tan (IROS, 2023)

WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting. - Kan Chen; Runzhou Ge; Hang Qiu 001; Rami Ai-Rfou; Charles R. Qi; Xuanyu Zhou; Zoey Yang; Scott Ettinger; Pei Sun; Zhaoqi Leng; Mustafa Baniodeh; Ivan Bogun; et al. (ICRA, 2024)

PVTransformer: Point-to-Voxel Transformer for Scalable 3D Object Detection. - Zhaoqi Leng; Pei Sun; Tong He; Dragomir Anguelov; Mingxing Tan (ICRA, 2024)

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation. - Yichen Xie 002; Runsheng Xu; Tong He; Jyh-Jing Hwang; Katie Luo; Jingwei Ji; Hubert Lin; Letian Chen; Yiren Lu 001; Zhaoqi Leng; Dragomir Anguelov; Mingxing Tan (CVPR, 2025)

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation. - Yichen Xie 002; Runsheng Xu; Tong He; Jyh-Jing Hwang; Katie Luo; Jingwei Ji; Hubert Lin; Letian Chen; Yiren Lu 001; Zhaoqi Leng; Dragomir Anguelov; Mingxing Tan (CoRR, 2025)