Zhaoqi Leng

26 papers A* 6A 1Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation.
CVPR
Yichen Xie, Runsheng Xu, Tong He, Jyh-Jing Hwang, Katie Luo, Jingwei Ji, Hubert Lin, Letian Chen, Yiren Lu, Zhaoqi Leng, Dragomir Anguelov, Mingxing Tan
2025 J jnl
S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation.
CoRR
Yichen Xie, Runsheng Xu, Tong He, Jyh-Jing Hwang, Katie Luo, Jingwei Ji, Hubert Lin, Letian Chen, Yiren Lu, Zhaoqi Leng, Dragomir Anguelov, Mingxing Tan
2024 A* conf
PVTransformer: Point-to-Voxel Transformer for Scalable 3D Object Detection.
ICRA
Zhaoqi Leng, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan
2024 J jnl
PVTransformer: Point-to-Voxel Transformer for Scalable 3D Object Detection.
CoRR
Zhaoqi Leng, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan
2024 A* conf
WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting.
ICRA
Kan Chen, Runzhou Ge, Hang Qiu, Rami Ai-Rfou, Charles R. Qi, Xuanyu Zhou, Zoey Yang, Scott Ettinger, Pei Sun, Zhaoqi Leng, Mustafa Baniodeh, Ivan Bogun, Weiyue Wang, Mingxing Tan, Dragomir Anguelov
2023 A conf
LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection.
IROS
Tong He, Pei Sun, Zhaoqi Leng, Chenxi Liu, Dragomir Anguelov, Mingxing Tan
2023 J jnl
LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection.
CoRR
Tong He, Pei Sun, Zhaoqi Leng, Chenxi Liu, Dragomir Anguelov, Mingxing Tan
2023 A* conf
Lidar Augment: Searching for Scalable 3D LiDAR Data Augmentations.
ICRA
Zhaoqi Leng, Guowang Li, Chenxi Liu, Ekin Dogus Cubuk, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan
2023 J jnl
WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting.
CoRR
Kan Chen, Runzhou Ge, Hang Qiu, Rami Ai-Rfou, Charles R. Qi, Xuanyu Zhou, Zoey Yang, Scott Ettinger, Pei Sun, Zhaoqi Leng, Mustafa Baniodeh, Ivan Bogun, Weiyue Wang, Mingxing Tan, Dragomir Anguelov
2022 — conf
A Long and Short Term Preference Model for Next Point of Interest Recommendation.
ICANN (2)
Zhaoqi Leng, Yanheng Liu, Xu Zhou, Xueying Wang, Xican Wang
2022 J jnl
A Point-of-Interest Recommendation Method Exploiting Sequential, Category and Geographical Influence.
ISPRS Int. J. Geo Inf.
Xican Wang, Yanheng Liu, Xu Zhou, Xueying Wang, Zhaoqi Leng
2022 J jnl
LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations.
CoRR
Zhaoqi Leng, Guowang Li, Chenxi Liu, Ekin Dogus Cubuk, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan
2022 — conf
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds.
ECCV (21)
Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov
2022 J jnl
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds.
CoRR
Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov
2022 J jnl
Long- and Short-Term Preference Modeling Based on Multi-Level Attention for Next POI Recommendation.
ISPRS Int. J. Geo Inf.
Xueying Wang, Yanheng Liu, Xu Zhou, Zhaoqi Leng, Xican Wang
2022 A* conf
Multi-Class 3D Object Detection with Single-Class Supervision.
ICRA
Mao Ye, Chenxi Liu, Maoqing Yao, Weiyue Wang, Zhaoqi Leng, Charles R. Qi, Dragomir Anguelov
2022 J jnl
Multi-Class 3D Object Detection with Single-Class Supervision.
CoRR
Mao Ye, Chenxi Liu, Maoqing Yao, Weiyue Wang, Zhaoqi Leng, Charles R. Qi, Dragomir Anguelov
2022 — conf
Next POI Recommendation Method Based on Category Preference and Attention Mechanism in LBSNs.
APWeb/WAIM (2)
Xueying Wang, Yanheng Liu, Xu Zhou, Zhaoqi Leng, Xican Wang
2022 A* conf
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions.
ICLR
Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Jay Shi, Shuyang Cheng, Dragomir Anguelov
2022 J jnl
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions.
CoRR
Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Xiaojie Shi, Shuyang Cheng, Dragomir Anguelov
2022 — conf
PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds.
ECCV (31)
Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov
2022 J jnl
PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds.
CoRR
Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov
2022 — conf
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds.
ECCV (10)
Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, Dragomir Anguelov
2022 J jnl
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds.
CoRR
Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, Dragomir Anguelov
2020 — conf
Improving 3D Object Detection Through Progressive Population Based Augmentation.
ECCV (21)
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, Dragomir Anguelov
2020 J jnl
Improving 3D Object Detection through Progressive Population Based Augmentation.
CoRR
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, Dragomir Anguelov