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Yi Fang

41 papers · 2015–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (10) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (68) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ”¬ Deep Specialist (17) 🧬 Topic Evolution πŸ† Keyword Champion (3) ⚑ Prolific Year (8) πŸš€ Conference Pioneer πŸ’Ž Century Club (40) πŸ”₯ Unstoppable (11) πŸ—ƒοΈ Keyword Collector (172) ❓ The Questioner (3) πŸ“ˆ Trend Setter

Conferences

CVPR (11) NIPS (6) ECCV (5) EMNLP (3) ICCV (3) NAACL (3) COLING (2) IJCAI (2) WACV (2) AAAI (1) ACML (1) ICLR (1) MIDL (1)

Top co-authors

Zhizhong Han (7) Yu-Shen Liu (7) Hao Huang (6) Shuaihang Yuan (5) Jin Xie (5) Zhiqiang Tao (4) Xuyang Wu (4) Hsin-Tai Wu (4) Meng Wang (3) Fan Zhu (3)

Research topics

Applications (1)

Keywords

point cloud (8) large language model (5) 3d vision (5) neural network (4) 3d reconstruction (3) feature learning (3) shape descriptor (3) normal estimation (3) bias mitigation (3) attention mechanism (3) 3d shape retrieval (2) shape retrieval (2) 3d shape (2) 3d shape segmentation (2) metric learning (2) vision-language model (2) retrieval-augmented generation (2) image registration (2) convolutional neural network (2) autonomous driving (2)

Papers

Phys-Liquid: A Physics-Informed Dataset for Estimating 3D Geometry and Volume of Transparent Deformable Liquids AAAI 2026
Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts EMNLP 2025
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems COLING 2025
Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs COLING 2025
Evaluating and Enhancing Large Language Models for Novelty Assessment in Scholarly Publications NAACL 2025
GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design NAACL 2025
Wavelet Policy: Lifting Scheme for Policy Learning in Long-Horizon Tasks ICCV 2025
GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs CVPR 2025
Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning EMNLP 2025
A Comprehensive Benchmark of Supervised and Self-supervised Pre-training on Multi-view Chest X-ray Classification MIDL 2024
FairCLIP: Harnessing Fairness in Vision-Language Learning CVPR 2024
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction EMNLP 2024
AMD: Automatic Multi-step Distillation of Large-scale Vision Models ECCV 2024
"Towards Dual Transparent Liquid Level Estimation in Biomedical Lab: Dataset, Methods and Practice" ECCV 2024
GAMap: Zero-Shot Object Goal Navigation with Multi-Scale Geometric-Affordance Guidance NIPS 2024
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification ECCV 2024
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers NAACL 2024
NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function NIPS 2023
Robust Image Classification via Using Multiple Diversity Losses ACML 2023
Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation ICCV 2023
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds CVPR 2023
LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes CVPR 2023
Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching NIPS 2023
Manifold Adversarial Learning for Cross-Domain 3D Shape Representation ECCV 2022
Adaptive Wavelet Transformer Network for 3D Shape Representation Learning ICLR 2022
Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds NIPS 2022
HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces NIPS 2022
Dual Attention Guided Gaze Target Detection in the Wild CVPR 2021
Achieving Outcome Fairness in Machine Learning Models for Social Decision Problems IJCAI 2020
Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation CVPR 2020
ROSS: Robust Learning of One-shot 3D Shape Segmentation WACV 2020
Unsupervised Deep Shape Descriptor With Point Distribution Learning CVPR 2020
Reference Grid-assisted Network for 3D Point Signature Learning from Point Clouds WACV 2020
Learning Object-Specific Distance From a Monocular Image ICCV 2019
Arbicon-Net: Arbitrary Continuous Geometric Transformation Networks for Image Registration NIPS 2019
Siamese CNN-BiLSTM Architecture for 3D Shape Representation Learning IJCAI 2018
Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval ECCV 2018
Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval CVPR 2017
Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence CVPR 2016
3D Deep Shape Descriptor CVPR 2015
DeepShape: Deep Learned Shape Descriptor for 3D Shape Matching and Retrieval CVPR 2015