Yi Fang

42 papers · 2015–2026 · 14 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (10) 🌍 Conference Polyglot (12) 🗺️ Taxonomy Completionist (68)

🗺️ Taxonomy Completionist (68) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🔬 Deep Specialist (17) 🧬 Topic Evolution 🏆 Keyword Champion (3) ⚡ Prolific Year (8) 🚀 Conference Pioneer 💎 Century Club (40) 🔥 Unstoppable (11) 🗃️ Keyword Collector (172) ❓ The Questioner (3) 📈 Trend Setter

Conferences

CVPR (11) NIPS (6) ECCV (5) EMNLP (3) ICCV (3) NAACL (3) COLING (2) IJCAI (2) WACV (2) AAAI (1) ACL (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 Controllable LLM Reasoning via Sparse Autoencoder-Based Steering ACL 2026 Evaluating and Enhancing Large Language Models for Novelty Assessment in Scholarly Publications NAACL 2025 GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs CVPR 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 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 Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts EMNLP 2025 Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning EMNLP 2025 EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction EMNLP 2024 Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers NAACL 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 AMD: Automatic Multi-step Distillation of Large-scale Vision Models ECCV 2024 A Comprehensive Benchmark of Supervised and Self-supervised Pre-training on Multi-view Chest X-ray Classification MIDL 2024 FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification ECCV 2024 FairCLIP: Harnessing Fairness in Vision-Language Learning CVPR 2024 SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds CVPR 2023 Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching NIPS 2023 NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function NIPS 2023 Robust Image Classification via Using Multiple Diversity Losses ACML 2023 LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes CVPR 2023 Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation ICCV 2023 HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces NIPS 2022 Adaptive Wavelet Transformer Network for 3D Shape Representation Learning ICLR 2022 Manifold Adversarial Learning for Cross-Domain 3D Shape Representation ECCV 2022 Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds 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 Unsupervised Deep Shape Descriptor With Point Distribution Learning CVPR 2020 Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation CVPR 2020 Reference Grid-assisted Network for 3D Point Signature Learning from Point Clouds WACV 2020 ROSS: Robust Learning of One-shot 3D Shape Segmentation WACV 2020 Learning Object-Specific Distance From a Monocular Image ICCV 2019 Arbicon-Net: Arbitrary Continuous Geometric Transformation Networks for Image Registration NIPS 2019 Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval ECCV 2018 Siamese CNN-BiLSTM Architecture for 3D Shape Representation Learning IJCAI 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