| 2026 | EACL | Entropy-Gated Branching for Efficient Test-Time Reasoning. | Xianzhi Li, Ethan Callanan, Abdellah Ghassel, Xiaodan Zhu |
| 2025 | AAAI | More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding. | Yuan Tang, Xu Han, Xianzhi Li, Qiao Yu, Jinfeng Xu, Yixue Hao, Long Hu, Min Chen |
| 2025 | CVPR | SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds. | Jinfeng Xu, Xianzhi Li, Yuan Tang, Xu Han, Qiao Yu, Yixue Hao, Long Hu, Min Chen |
| 2025 | CVPR | MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning. | Xu Han, Yuan Tang, Jinfeng Xu, Xianzhi Li |
| 2025 | CVPR | Fancy123: One Image to High-Quality 3D Mesh Generation via Plug-and-Play Deformation. | Qiao Yu, Xianzhi Li, Yuan Tang, Xu Han, Long Hu, Yixue Hao, Min Chen |
| 2024 | CVPR | PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation. | Jinfeng Xu, Siyuan Yang, Xianzhi Li, Yuan Tang, Yixue Hao, Long Hu, Min Chen |
| 2024 | EACL | Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking. | Yong Cao, Ruixue Ding, Boli Chen, Xianzhi Li, Min Chen, Daniel Hershcovich, Pengjun Xie, Fei Huang |
| 2024 | EMNLP | Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation. | Xianzhi Li, Ran Zmigrod, Zhiqiang Ma, Xiaomo Liu, Xiaodan Zhu |
| 2023 | AAAI | Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object Detection. | Zizhang Wu, Yunzhe Wu, Jian Pu, Xianzhi Li, Xiaoquan Wang |
| 2023 | AAAI | CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion. | Jinfeng Xu, Xianzhi Li, Yuan Tang, Qiao Yu, Yixue Hao, Long Hu, Min Chen |
| 2023 | ACL | Pay More Attention to Relation Exploration for Knowledge Base Question Answering. | Yong Cao, Xianzhi Li, Huiwen Liu, Wen Dai, Shuai Chen, Bin Wang, Min Chen, Daniel Hershcovich |
| 2023 | EMNLP | Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks. | Xianzhi Li, Samuel Chan, Xiaodan Zhu, Yulong Pei, Zhiqiang Ma, Xiaomo Liu, Sameena Shah |
| 2023 | IJCAI | Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training. | Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzhi Li, Pheng-Ann Heng |
| 2023 | ICRA | On Improving Boundary Quality of Instance Segmentation in Cluttered and Chaotic Scenarios. | Biqi Yang, Xiaojie Gao, Xianzhi Li, Yun-Hui Liu, Chi-Wing Fu, Pheng-Ann Heng |
| 2022 | ICRA | Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking. | Yidan Feng, Biqi Yang, Xianzhi Li, Chi-Wing Fu, Rui Cao, Kai Chen, Qi Dou, Mingqiang Wei, Yun-Hui Liu, Pheng-Ann Heng |
| 2022 | IROS | SESR: Self-Ensembling Sim-to-Real Instance Segmentation for Auto-Store Bin Picking. | Biqi Yang, Xiaojie Gao, Kai Chen, Rui Cao, Yidan Feng, Xianzhi Li, Qi Dou, Chi-Wing Fu, Yun-Hui Liu, Pheng-Ann Heng |
| 2022 | NAACL | Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation. | Yong Cao, Wei Li, Xianzhi Li, Min Chen, Guangyong Chen, Long Hu, Zhengdao Li, Kai Hwang |
| 2021 | CVPR | Point Cloud Upsampling via Disentangled Refinement. | Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu |
| 2020 | CVPR | PointAugment: An Auto-Augmentation Framework for Point Cloud Classification. | Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu |
| 2019 | ICCV | PU-GAN: A Point Cloud Upsampling Adversarial Network. | Ruihui Li, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng |
| 2019 | ICCV | Deep Floor Plan Recognition Using a Multi-Task Network With Room-Boundary-Guided Attention. | Zhiliang Zeng, Xianzhi Li, Ying Kin Yu, Chi-Wing Fu |
| 2018 | CVPR | PU-Net: Point Cloud Upsampling Network. | Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng |
| 2018 | ECCV | EC-Net: An Edge-Aware Point Set Consolidation Network. | Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng |