PU-Net: Point Cloud Upsampling Network. - Lequan Yu; Xianzhi Li 001; Chi-Wing Fu; Daniel Cohen-Or; Pheng-Ann Heng (CVPR, 2018)

EC-Net: An Edge-Aware Point Set Consolidation Network. - Lequan Yu; Xianzhi Li 001; Chi-Wing Fu; Daniel Cohen-Or; Pheng-Ann Heng (ECCV (7), 2018)

Non-Local Low-Rank Normal Filtering for Mesh Denoising. - Xianzhi Li 001; Lei Zhu 003; Chi-Wing Fu; Pheng-Ann Heng (Comput. Graph. Forum, 2018)

PU-GAN: A Point Cloud Upsampling Adversarial Network. - Ruihui Li; Xianzhi Li 001; Chi-Wing Fu; Daniel Cohen-Or; Pheng-Ann Heng (ICCV, 2019)

Deep Floor Plan Recognition Using a Multi-Task Network With Room-Boundary-Guided Attention. - Zhiliang Zeng; Xianzhi Li 001; Ying Kin Yu; Chi-Wing Fu (ICCV, 2019)

PointAugment: An Auto-Augmentation Framework for Point Cloud Classification. - Ruihui Li; Xianzhi Li 001; Pheng-Ann Heng; Chi-Wing Fu (CVPR, 2020)

Non-Local Part-Aware Point Cloud Denoising. - Chao Huang; Ruihui Li; Xianzhi Li 001; Chi-Wing Fu (CoRR, 2020)

Unsupervised Detection of Distinctive Regions on 3D Shapes. - Xianzhi Li 001; Lequan Yu; Chi-Wing Fu; Daniel Cohen-Or; Pheng-Ann Heng (ACM Trans. Graph., 2020)

Point Cloud Upsampling via Disentangled Refinement. - Ruihui Li; Xianzhi Li 001; Pheng-Ann Heng; Chi-Wing Fu (CVPR, 2021)

Data Fusion for Intelligent Crowd Monitoring and Management Systems: A Survey. - Xianzhi Li 001; Qiao Yu 002; Bander A. Alzahrani; Ahmed Barnawi; Ahmad Alhindi; Daniyal M. Alghazzawi; Yiming Miao (IEEE Access, 2021)

SP-GAN: sphere-guided 3D shape generation and manipulation. - Ruihui Li; Xianzhi Li 001; Ka-Hei Hui; Chi-Wing Fu (ACM Trans. Graph., 2021)

DNF-Net: A Deep Normal Filtering Network for Mesh Denoising. - Xianzhi Li 001; Ruihui Li; Lei Zhu 003; Chi-Wing Fu; Pheng-Ann Heng (IEEE Trans. Vis. Comput. Graph., 2021)

SEPL-Net: A Semantics-Enhanced Pseudo Labeling Network for Semi-Supervised Image Analysis. - Wenjing Xiao; Kai Hwang 001; Min Chen 003; Xianzhi Li 001 (ICME, 2022)

Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking. - Yidan Feng; Biqi Yang; Xianzhi Li 001; Chi-Wing Fu; Rui Cao; Kai Chen 028; Qi Dou 001; Mingqiang Wei; Yun-Hui Liu 001; Pheng-Ann Heng (ICRA, 2022)

SESR: Self-Ensembling Sim-to-Real Instance Segmentation for Auto-Store Bin Picking. - Biqi Yang; Xiaojie Gao; Kai Chen 028; Rui Cao; Yidan Feng; Xianzhi Li 001; Qi Dou 001; Chi-Wing Fu; Yun-Hui Liu 001; Pheng-Ann Heng (IROS, 2022)

Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation. - Yong Cao 001; Wei Li 061; Xianzhi Li 001; Min Chen 003; Guangyong Chen; Long Hu; Zhengdao Li; Kai Hwang 001 (NAACL-HLT (Findings), 2022)

RePCD-Net: Feature-Aware Recurrent Point Cloud Denoising Network. - Honghua Chen; Zeyong Wei; Xianzhi Li 001; Yabin Xu; Mingqiang Wei; Jun Wang 039 (Int. J. Comput. Vis., 2022)

A Sim-to-Real Object Recognition and Localization Framework for Industrial Robotic Bin Picking. - Xianzhi Li 001; Rui Cao; Yidan Feng; Kai Chen 028; Biqi Yang; Chi-Wing Fu; Yichuan Li 002; Qi Dou 001; Yun-Hui Liu 001; Pheng-Ann Heng (IEEE Robotics Autom. Lett., 2022)

TIF: Trajectory and Information Flow Coupling Mechanism for Behavior Analysis in Autonomous Driving. - Rui Wang 077; Jinfeng Xu 002; Jia Liu 009; Di Wu 001; Yixue Hao; Xianzhi Li 001; Min Chen 003 (IEEE Trans. Intell. Transp. Syst., 2022)

A Rotation-Invariant Framework for Deep Point Cloud Analysis. - Xianzhi Li 001; Ruihui Li; Guangyong Chen; Chi-Wing Fu; Daniel Cohen-Or; Pheng-Ann Heng (IEEE Trans. Vis. Comput. Graph., 2022)

CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion. - Jinfeng Xu 002; Xianzhi Li 001; Yuan Tang; Qiao Yu 002; Yixue Hao; Long Hu; Min Chen 003 (AAAI, 2023)

Pay More Attention to Relation Exploration for Knowledge Base Question Answering. - Yong Cao 001; Xianzhi Li 001; Huiwen Liu; Wen Dai; Shuai Chen; Bin Wang; Min Chen 003; Daniel Hershcovich (ACL (Findings), 2023)

On Improving Boundary Quality of Instance Segmentation in Cluttered and Chaotic Scenarios. - Biqi Yang; Xiaojie Gao; Xianzhi Li 001; Yun-Hui Liu 001; Chi-Wing Fu; Pheng-Ann Heng (ICRA, 2023)

Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training. - Ziyu Guo; Renrui Zhang; Longtian Qiu; Xianzhi Li 001; Pheng-Ann Heng (IJCAI, 2023)

V2Depth: Monocular Depth Estimation via Feature-Level Virtual-View Simulation and Refinement. - Zizhang Wu; Zhuozheng Li; Zhi-Gang Fan; Yunzhe Wu; Jian Pu; Xianzhi Li 001 (ACM Multimedia, 2023)

Prototypical Variational Autoencoder for 3D Few-shot Object Detection. - Weiliang Tang; Biqi Yang; Xianzhi Li 001; Yun-Hui Liu 001; Pheng-Ann Heng; Chi-Wing Fu (NeurIPS, 2023)

Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training. - Ziyu Guo; Xianzhi Li 001; Pheng-Ann Heng (CoRR, 2023)

Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following. - Ziyu Guo; Renrui Zhang; Xiangyang Zhu; Yiwen Tang; Xianzheng Ma; Jiaming Han; Kexin Chen 003; Peng Gao 007; Xianzhi Li 001; Hongsheng Li 001; Pheng-Ann Heng (CoRR, 2023)

SKU-Patch: Towards Efficient Instance Segmentation for Unseen Objects in Auto-Store. - Biqi Yang; Weiliang Tang; Xiaojie Gao; Xianzhi Li 001; Yun-Hui Liu 001; Chi-Wing Fu; Pheng-Ann Heng (CoRR, 2023)

Point Set Self-Embedding. - Ruihui Li; Xianzhi Li 001; Tien-Tsin Wong; Chi-Wing Fu (IEEE Trans. Vis. Comput. Graph., 2023)

PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation. - Jinfeng Xu 002; Siyuan Yang; Xianzhi Li 001; Yuan Tang; Yixue Hao; Long Hu; Min Chen 003 (CVPR, 2024)

Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking. - Yong Cao 001; Ruixue Ding; Boli Chen; Xianzhi Li 001; Min Chen 003; Daniel Hershcovich; Pengjun Xie; Fei Huang 002 (EACL (1), 2024)

Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model. - Xu Han 016; Yuan Tang; Zhaoxuan Wang; Xianzhi Li 001 (ACM Multimedia, 2024)

MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors. - Yuan Tang; Xu Han 016; Xianzhi Li 001; Qiao Yu 002; Yixue Hao; Long Hu; Min Chen 003 (ACM Multimedia, 2024)

PointDreamer: Zero-shot 3D Textured Mesh Reconstruction from Colored Point Cloud by 2D Inpainting. - Qiao Yu 002; Xianzhi Li 001; Yuan Tang; Jinfeng Xu 002; Long Hu; Yixue Hao; Min Chen 003 (CoRR, 2024)

RIDE: Boosting 3D Object Detection for LiDAR Point Clouds via Rotation-Invariant Analysis. - Zhaoxuan Wang; Xu Han 016; Hongxin Liu; Xianzhi Li 001 (CoRR, 2024)

Fancy123: One Image to High-Quality 3D Mesh Generation via Plug-and-Play Deformation. - Qiao Yu 002; Xianzhi Li 001; Yuan Tang; Xu Han 018; Long Hu; Yixue Hao; Min Chen 003 (CoRR, 2024)

Efficient Crowd Counting via Dual Knowledge Distillation. - Rui Wang 077; Yixue Hao; Long Hu; Xianzhi Li 001; Min Chen 003; Yiming Miao; Iztok Humar (IEEE Trans. Image Process., 2024)

Point-LGMask: Local and Global Contexts Embedding for Point Cloud Pre-Training With Multi-Ratio Masking. - Yuan Tang; Xianzhi Li 001; Jinfeng Xu 002; Qiao Yu 002; Long Hu; Yixue Hao; Min Chen 003 (IEEE Trans. Multim., 2024)

More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding. - Yuan Tang; Xu Han 018; Xianzhi Li 001; Qiao Yu 002; Jinfeng Xu 002; Yixue Hao; Long Hu; Min Chen 003 (AAAI, 2025)

SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds. - Jinfeng Xu 002; Xianzhi Li 001; Yuan Tang; Xu Han 018; Qiao Yu 002; Yixue Hao; Long Hu; Min Chen 003 (CVPR, 2025)

MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning. - Xu Han 018; Yuan Tang; Jinfeng Xu 002; Xianzhi Li 001 (CVPR, 2025)

Fancy123: One Image to High-Quality 3D Mesh Generation via Plug-and-Play Deformation. - Qiao Yu 002; Xianzhi Li 001; Yuan Tang; Xu Han; Long Hu; Yixue Hao; Min Chen 003 (CVPR, 2025)

Geometrically-plausible and Semantically-consistent Generation of Indoor Panoramas. - Zhiliang Zeng; Mengyang Wu; Xianzhi Li 001; Wenzhao Gao; Shaohui Jiao; Chi-Wing Fu (ICME, 2025)

PointDreamer: Zero-Shot 3D Textured Mesh Reconstruction From Colored Point Cloud. - Qiao Yu 002; Xianzhi Li 001; Yuan Tang; Xu Han 018; Jinfeng Xu 002; Long Hu; Min Chen 003 (IEEE Trans. Vis. Comput. Graph., 2025)

JIMR: Joint Semantic and Geometry Learning for Point Scene Instance Mesh Reconstruction. - Qiao Yu 002; Xianzhi Li 001; Yuan Tang; Jinfeng Xu 002; Long Hu; Yixue Hao; Min Chen 003 (IEEE Trans. Vis. Comput. Graph., 2025)

Rethinking Point Cloud Representation Learning for Freeing Transformer to Perceive Local. - Yuan Tang; Yunlong Yu; Xianzhi Li 001; Rui Wang 077; Jinfeng Xu 002; Qiao Yu 002; Yixue Hao; Long Hu; Min Chen 003 (IEEE Trans. Multim., 2026)

DTSNet: Dynamic Transformer Slimming for Efficient Vision Recognition. - Wenjing Xiao; Xianzhi Li 001; Long Hu; Yixue Hao; Min Chen 003 (IEEE Trans. Multim., 2026)