High-precision acoustic motion tracking: demo. - Wenguang Mao; Jian He; Huihuang Zheng; Zaiwei Zhang; Lili Qiu (MobiCom, 2016)

Indoor Follow Me Drone. - Wenguang Mao; Zaiwei Zhang; Lili Qiu; Jian He; Yuchen Cui; Sangki Yun (MobiSys, 2017)

Joint Learning of Neural Networks via Iterative Reweighted Least Squares. - Zaiwei Zhang; Xiangru Huang; Qixing Huang; Xiao Zhang; Yuan Li (CVPR Workshops, 2019)

Path-Invariant Map Networks. - Zaiwei Zhang; Zhenxiao Liang; Lemeng Wu; Xiaowei Zhou 001; Qixing Huang (CVPR, 2019)

GAN-SRAF: Sub-Resolution Assist Feature Generation Using Conditional Generative Adversarial Networks. - Mohamed Baker Alawieh; Yibo Lin; Zaiwei Zhang; Meng Li 004; Qixing Huang; David Z. Pan (DAC, 2019)

H3DNet: 3D Object Detection Using Hybrid Geometric Primitives. - Zaiwei Zhang; Bo Sun; Haitao Yang 005; Qixing Huang (ECCV (12), 2020)

Deep Generative Modeling for Scene Synthesis via Hybrid Representations. - Zaiwei Zhang; Zhenpei Yang; Chongyang Ma; Linjie Luo; Alexander Huth; Etienne Vouga; Qixing Huang (ACM Trans. Graph., 2020)

Scene Synthesis via Uncertainty-Driven Attribute Synchronization. - Haitao Yang 005; Zaiwei Zhang; Siming Yan; Haibin Huang; Chongyang Ma; Yi Zheng; Chandrajit Bajaj; Qixing Huang (ICCV, 2021)

ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators. - Qixing Huang; Xiangru Huang; Bo Sun; Zaiwei Zhang; Junfeng Jiang; Chandrajit Bajaj (ICCV, 2021)

Self-Supervised Pretraining of 3D Features on any Point-Cloud. - Zaiwei Zhang; Rohit Girdhar; Armand Joulin; Ishan Misra (ICCV, 2021)

GAN-SRAF: Subresolution Assist Feature Generation Using Generative Adversarial Networks. - Mohamed Baker Alawieh; Yibo Lin; Zaiwei Zhang; Meng Li 004; Qixing Huang; David Z. Pan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

FvOR: Robust Joint Shape and Pose Optimization for Few-view Object Reconstruction. - Zhenpei Yang; Zhile Ren; Miguel Ángel Bautista 001; Zaiwei Zhang; Qi Shan; Qixing Huang (CVPR, 2022)

Self-Supervised Pretraining for Large-Scale Point Clouds. - Zaiwei Zhang; Min Bai; Li Erran Li (NeurIPS, 2022)

HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D Reconstruction. - Zhenpei Yang; Zaiwei Zhang; Qixing Huang (CoRR, 2022)

Implicit Surface Contrastive Clustering for LiDAR Point Clouds. - Zaiwei Zhang; Min Bai; Li Erran Li (CVPR, 2023)

The Role of Linguistic Priors in Measuring Compositional Generalization of Vision-Language Models. - Chenwei Wu 002; Li Erran Li; Stefano Ermon; Patrick Haffner; Rong Ge 001; Zaiwei Zhang (ICBINB, 2023)

LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene Generation. - Haitao Yang 005; Zaiwei Zhang; Xiangru Huang; Min Bai; Chen Song; Bo Sun; Li Erran Li; Qixing Huang (CoRR, 2023)

VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition. - Zaiwei Zhang; Gregory P. Meyer; Zhichao Lu; Ashish Shrivastava 001; Avinash Ravichandran; Eric M. Wolff (CoRR, 2024)

Uncertainty-Guided Enhancement on Driving Perception System via Foundation Models. - Yunhao Yang; Yuxin Hu; Mao Ye; Zaiwei Zhang; Zhichao Lu; Yi Xu; Ufuk Topcu; Ben Snyder (CoRR, 2024)

VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision. - Yi Xu; Yuxin Hu; Zaiwei Zhang; Gregory P. Meyer; Siva Karthik Mustikovela; Siddhartha Srinivasa; Eric M. Wolff; Xin Huang (CoRR, 2024)

Flash3D: Super-scaling Point Transformers through Joint Hardware-Geometry Locality. - Liyan Chen; Gregory P. Meyer; Zaiwei Zhang; Eric M. Wolff; Paul Vernaza (CVPR, 2025)

VLMine: Long-Tail Data Mining with Vision Language Models. - Mao Ye 006; Gregory P. Meyer; Zaiwei Zhang; Dennis Park; Siva Karthik Mustikovela; Yuning Chai; Eric M. Wolff (WACV (Workshops), 2025)