Xianzhi Li
22 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
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(51)
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(11)
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(21)
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(6)
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(8)
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(112)
Conferences
CVPR (7)
AAAI (3)
EMNLP (3)
EACL (2)
ICCV (2)
ACL (1)
ECCV (1)
IJCAI (1)
NAACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
point cloud
(7)
multi-task learning
(3)
3d reconstruction
(3)
surface reconstruction
(3)
knowledge distillation
(2)
large language model
(2)
data augmentation
(2)
attention mechanism
(2)
feature learning
(2)
few-shot learning
(2)
language model
(2)
neural network
(2)
prototype learning
(1)
text classification
(1)
benchmark evaluation
(1)
computer vision
(1)
domain adaptation
(1)
semantic segmentation
(1)
differential privacy
(1)
information retrieval
(1)
Papers
Entropy-Gated Branching for Efficient Test-Time Reasoning
EACL 2026
MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning
CVPR 2025
More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding
AAAI 2025
SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds
CVPR 2025
Fancy123: One Image to High-Quality 3D Mesh Generation via Plug-and-Play Deformation
CVPR 2025
Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking
EACL 2024
Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation
EMNLP 2024
PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation
CVPR 2024
Prototypical Variational Autoencoder for 3D Few-shot Object Detection
NIPS 2023
CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion
AAAI 2023
Pay More Attention to Relation Exploration for Knowledge Base Question Answering
ACL 2023
Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object Detection
AAAI 2023
Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks
EMNLP 2023
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training
IJCAI 2023
Learning Better Intent Representations for Financial Open Intent Classification
EMNLP 2022
Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation
NAACL 2022
Point Cloud Upsampling via Disentangled Refinement
CVPR 2021
PointAugment: An Auto-Augmentation Framework for Point Cloud Classification
CVPR 2020
Deep Floor Plan Recognition Using a Multi-Task Network With Room-Boundary-Guided Attention
ICCV 2019
PU-GAN: A Point Cloud Upsampling Adversarial Network
ICCV 2019
EC-Net: an Edge-aware Point set Consolidation Network
ECCV 2018
PU-Net: Point Cloud Upsampling Network
CVPR 2018