Using least median of squares for structural superposition of flexible proteins. - Yu-Shen Liu; Yi Fang 006; Karthik Ramani (BMC Bioinform., 2009)

IDSS: deformation invariant signatures for molecular shape comparison. - Yu-Shen Liu; Yi Fang 006; Karthik Ramani (BMC Bioinform., 2009)

Estimating view parameters from random projections for Tomography using spherical MDS. - Yi Fang 006; Sundar Murugappan; Karthik Ramani (BMC Medical Imaging, 2010)

Heat-mapping: A robust approach toward perceptually consistent mesh segmentation. - Yi Fang 006; Mengtian Sun; Minhyong Kim; Karthik Ramani (CVPR, 2011)

Temperature distribution descriptor for robust 3D shape retrieval. - Yi Fang 006; Mengtian Sun; Karthik Ramani (CVPR Workshops, 2011)

sLLE: Spherical locally linear embedding with applications to tomography. - Yi Fang 006; Mengtian Sun; S. V. N. Vishwanathan; Karthik Ramani (CVPR, 2011)

Center-Shift: An approach towards automatic robust mesh segmentation (ARMS). - Mengtian Sun; Yi Fang 006; Karthik Ramani (CVPR, 2012)

Towards locally and globally shape-aware reverse 3D modeling. - Manish Goyal 001; Sundar Murugappan; Cecil Piya; William Benjamin; Yi Fang 006; Min Liu 018; Karthik Ramani (Comput. Aided Des., 2012)

3D Laplacian Pyramid Signature. - Kaimo Hu; Yi Fang 006 (ACCV Workshops (3), 2014)

Global Voting Model for Protein Function Prediction from Protein-Protein Interaction Networks. - Yi Fang 006; Mengtian Sun; Guoxian Dai; Karthik Ramani (ICIC (3), 2014)

3D deep shape descriptor. - Yi Fang 006; Jin Xie 001; Guoxian Dai; Meng Wang 001; Fan Zhu 001; Tiantian Xu; Edward K. Wong (CVPR, 2015)

Deepshape: Deep learned shape descriptor for 3D shape matching and retrieval. - Jin Xie 001; Yi Fang 006; Fan Zhu 001; Edward K. Wong (CVPR, 2015)

Progressive Shape-Distribution-Encoder for 3D Shape Retrieval. - Jin Xie 001; Fan Zhu 001; Guoxian Dai; Yi Fang 006 (ACM Multimedia, 2015)

Learning Pairwise Neural Network Encoder for Depth Image-based 3D Model Retrieval. - Jing Zhu 002; Fan Zhu 001; Edward K. Wong; Yi Fang 006 (ACM Multimedia, 2015)

Learning Cross-Domain Neural Networks for Sketch-Based 3D Shape Retrieval. - Fan Zhu 001; Jin Xie 001; Yi Fang 006 (AAAI, 2016)

Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence. - Jin Xie 001; Meng Wang 001; Yi Fang 006 (CVPR, 2016)

Heat Diffusion Long-Short Term Memory Learning for 3D Shape Analysis. - Fan Zhu 001; Jin Xie 001; Yi Fang 006 (ECCV (7), 2016)

Local Diffusion Map Signature for Symmetry-aware Non-rigid Shape Correspondence. - Meng Wang 001; Yi Fang 006 (ACM Multimedia, 2016)

Global Consistent Shape Correspondence for Efficient and Effective Active Shape Models. - Meng Wang 001; Yi Fang 006 (ACM Multimedia, 2016)

Boosted Cross-Domain Dictionary Learning for Visual Categorization. - Fan Zhu 001; Ling Shao 001; Yi Fang 006 (IEEE Intell. Syst., 2016)

Dynamic texture recognition with video set based collaborative representation. - Jin Xie 001; Yi Fang 006 (Image Vis. Comput., 2016)

Dual many-to-one-encoder-based transfer learning for cross-dataset human action recognition. - Tiantian Xu; Fan Zhu 001; Edward K. Wong; Yi Fang 006 (Image Vis. Comput., 2016)

From handcrafted to learned representations for human action recognition: A survey. - Fan Zhu 001; Ling Shao 001; Jin Xie 001; Yi Fang 006 (Image Vis. Comput., 2016)

Learning a discriminative deformation-invariant 3D shape descriptor via many-to-one encoder. - Guoxian Dai; Jin Xie 001; Fan Zhu 001; Yi Fang 006 (Pattern Recognit. Lett., 2016)

Linear discrimination dictionary learning for shape descriptors. - Meng Wang 001; Jin Xie 001; Fan Zhu 001; Yi Fang 006 (Pattern Recognit. Lett., 2016)

The Intrinsic Geometric Structure of Protein-Protein Interaction Networks for Protein Interaction Prediction. - Yi Fang 006; Mengtian Sun; Guoxian Dai; Karthik Ramani (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Deep Correlated Metric Learning for Sketch-based 3D Shape Retrieval. - Guoxian Dai; Jin Xie 001; Fan Zhu 001; Yi Fang 006 (AAAI, 2017)

Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval. - Jin Xie 001; Guoxian Dai; Fan Zhu 001; Yi Fang 006 (CVPR, 2017)

Reducing Operator Workload for Indoor Navigation of Autonomous Robots via Multimodal Sensor Fusion. - Naman Patel; Prashanth Krishnamurthy; Yi Fang 006; Farshad Khorrami (HRI (Companion), 2017)

A Wearable Assistive Technology for the Visually Impaired with Door Knob Detection and Real-Time Feedback for Hand-to-Handle Manipulation. - Liang Niu; Cheng Qian; John-Ross Rizzo; Todd E. Hudson; Zichen Li; Shane Enright; Eliot Sperling; Kyle Conti; Edward K. Wong; Yi Fang 006 (ICCV Workshops, 2017)

Metric-based Generative Adversarial Network. - Guoxian Dai; Jin Xie 001; Yi Fang 006 (ACM Multimedia, 2017)

3DensiNet: A Robust Neural Network Architecture towards 3D Volumetric Object Prediction from 2D Image. - Meng Wang 001; Lingjing Wang; Yi Fang 006 (ACM Multimedia, 2017)

Unsupervised 3D Reconstruction from a Single Image via Adversarial Learning. - Lingjing Wang; Yi Fang 006 (CoRR, 2017)

DeepShape: Deep-Learned Shape Descriptor for 3D Shape Retrieval. - Jin Xie 001; Guoxian Dai; Fan Zhu 001; Edward K. Wong; Yi Fang 006 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Progressive Shape-Distribution-Encoder for Learning 3D Shape Representation. - Jin Xie 001; Fan Zhu 001; Guoxian Dai; Ling Shao 001; Yi Fang 006 (IEEE Trans. Image Process., 2017)

Deep Multimetric Learning for Shape-Based 3D Model Retrieval. - Jin Xie 001; Guoxian Dai; Yi Fang 006 (IEEE Trans. Multim., 2017)

Learning Adversarial 3D Model Generation With 2D Image Enhancer. - Jing Zhu 002; Jin Xie 001; Yi Fang 006 (AAAI, 2018)

Deep Cross-Modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-Based 3D Shape Retrieval. - Jiaxin Chen; Yi Fang 006 (ECCV (13), 2018)

Siamese CNN-BiLSTM Architecture for 3D Shape Representation Learning. - Guoxian Dai; Jin Xie 001; Yi Fang 006 (IJCAI, 2018)

Learning to Synthesize 3D Indoor Scenes from Monocular Images. - Fan Zhu 001; Li Liu 004; Jin Xie 001; Fumin Shen; Ling Shao 001; Yi Fang 006 (ACM Multimedia, 2018)

Unsupervised Learning of 3D Model Reconstruction from Hand-Drawn Sketches. - Lingjing Wang; Cheng Qian; Jifei Wang; Yi Fang 006 (ACM Multimedia, 2018)

Learning Local Descriptors with Adversarial Enhancer from Volumetric Geometry Patches. - Jing Zhu 002; Yi Fang 006 (ACM Multimedia, 2018)

Building-A-Nets: Robust Building Extraction From High-Resolution Remote Sensing Images With Adversarial Networks. - Xiang Li 046; Xiaojing Yao; Yi Fang 006 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Deep Nonlinear Metric Learning for 3-D Shape Retrieval. - Jin Xie 001; Guoxian Dai; Fan Zhu 001; Ling Shao 001; Yi Fang 006 (IEEE Trans. Cybern., 2018)

Greedy Criterion in Orthogonal Greedy Learning. - Lin Xu 001; Shaobo Lin; Jinshan Zeng; Xia Liu; Yi Fang 006; Zongben Xu (IEEE Trans. Cybern., 2018)

Deep Correlated Holistic Metric Learning for Sketch-Based 3D Shape Retrieval. - Guoxian Dai; Jin Xie 001; Yi Fang 006 (IEEE Trans. Image Process., 2018)

PC-Net: Unsupervised Point Correspondence Learning with Neural Networks. - Xiang Li 046; Lingjing Wang; Yi Fang 006 (3DV, 2019)

Pairwise Attention Encoding for Point Cloud Feature Learning. - Yunxiao Shi; Haoyu Fang; Jing Zhu 002; Yi Fang 006 (3DV, 2019)

Learning Object-Specific Distance From a Monocular Image. - Jing Zhu 002; Yi Fang 006 (ICCV, 2019)

An assistive low-vision platform that augments spatial cognition through proprioceptive guidance: Point-to-Tell-and-Touch. - Wenjun Gui; Bingyu Li; Shuaihang Yuan; John-Ross Rizzo; Lakshay Sharma; Chen Feng 002; Anthony Tzes; Yi Fang 006 (IROS, 2019)

Arbicon-Net: Arbitrary Continuous Geometric Transformation Networks for Image Registration. - Jianchun Chen; Lingjing Wang; Xiang Li 046; Yi Fang 006 (NeurIPS, 2019)

Non-Rigid Point Set Registration Networks. - Lingjing Wang; Jianchun Chen; Xiang Li 046; Yi Fang 006 (CoRR, 2019)

Coherent Point Drift Networks: Unsupervised Learning of Non-Rigid Point Set Registration. - Lingjing Wang; Yi Fang 006 (CoRR, 2019)

Learning Object-specific Distance from a Monocular Image. - Jing Zhu 002; Yi Fang 006; Husam Abu-Haimed; Kuo-Chin Lien; Dongdong Fu; Junli Gu (CoRR, 2019)

Structure-Attentioned Memory Network for Monocular Depth Estimation. - Jing Zhu 002; Yunxiao Shi; Mengwei Ren; Yi Fang 006; Kuo-Chin Lien; Junli Gu (CoRR, 2019)

Self-Supervised Learning of Depth and Ego-motion with Differentiable Bundle Adjustment. - Yunxiao Shi; Jing Zhu 002; Yi Fang 006; Kuo-Chin Lien; Junli Gu (CoRR, 2019)

Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification. - Xiang Li 046; Mingyang Wang; Congcong Wen; Lingjing Wang; Nan Zhou; Yi Fang 006 (CoRR, 2019)

Deep Learning for Pattern Recognition. - Zhaoxiang Zhang 001; Shiguang Shan; Yi Fang 006; Ling Shao 001 (Pattern Recognit. Lett., 2019)

Learning domain-invariant feature for robust depth-image-based 3D shape retrieval. - Jing Zhu 002; John-Ross Rizzo; Yi Fang 006 (Pattern Recognit. Lett., 2019)

Robust Image Matching By Dynamic Feature Selection. - Hao Huang 003; Jianchun Chen; Xiang Li 046; Lingjing Wang; Yi Fang 006 (BMVC, 2020)

MDA-Net: Memorable Domain Adaptation Network for Monocular Depth Estimation. - Jing Zhu 002; Yunxiao Shi; Mengwei Ren; Yi Fang 006 (BMVC, 2020)

Unsupervised Deep Shape Descriptor With Point Distribution Learning. - Yi Shi; Mengchen Xu; Shuaihang Yuan; Yi Fang 006 (CVPR, 2020)

Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation. - Lingjing Wang; Xiang Li 046; Yi Fang 006 (CVPR, 2020)

Active Crowd Analysis for Pandemic Risk Mitigation for Blind or Visually Impaired Persons. - Samridha Shrestha; Daohan Lu; Hanlin Tian; Qiming Cao; Julie Liu; John-Ross Rizzo; William H. Seiple; Maurizio Porfiri; Yi Fang 006 (ECCV Workshops (4), 2020)

3DMotion-Net: Learning Continuous Flow Function for 3D Motion Prediction. - Shuaihang Yuan; Xiang Li 046; Anthony Tzes; Yi Fang 006 (IROS, 2020)

ROSS: Robust Learning of One-Shot 3D Shape Segmentation. - Shuaihang Yuan; Yi Fang 006 (WACV, 2020)

Reference Grid-assisted Network for 3D Point Signature Learning from Point Clouds. - Jing Zhu 002; Yi Fang 006 (WACV, 2020)

Geometry-Aware Segmentation of Remote Sensing Images via implicit height estimation. - Xiang Li 046; Yi Fang 006 (CoRR, 2020)

Unsupervised Learning of 3D Point Set Registration. - Lingjing Wang; Xiang Li 046; Yi Fang 006 (CoRR, 2020)

Unsupervised Learning of Global Registration of Temporal Sequence of Point Clouds. - Lingjing Wang; Yi Shi; Xiang Li 046; Yi Fang 006 (CoRR, 2020)

DeepTracking-Net: 3D Tracking with Unsupervised Learning of Continuous Flow. - Shuaihang Yuan; Xiang Li 046; Yi Fang 006 (CoRR, 2020)

GP-Aligner: Unsupervised Non-rigid Groupwise Point Set Registration Based On Optimized Group Latent Descriptor. - Lingjing Wang; Xiang Li 046; Yi Fang 006 (CoRR, 2020)

Unsupervised Partial Point Set Registration via Joint Shape Completion and Registration. - Xiang Li 046; Lingjing Wang; Yi Fang 006 (CoRR, 2020)

Deep-3DAligner: Unsupervised 3D Point Set Registration Network With Optimizable Latent Vector. - Lingjing Wang; Xiang Li 046; Yi Fang 006 (CoRR, 2020)

3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence. - Hao Huang 003; Lingjing Wang; Xiang Li 046; Yi Fang 006 (CoRR, 2020)

3D Meta-Registration: Learning to Learn Registration of 3D Point Clouds. - Lingjing Wang; Yu Hao; Xiang Li 046; Yi Fang 006 (CoRR, 2020)

3D-MetaConNet: Meta-learning for 3D Shape Classification and Segmentation. - Hao Huang 003; Xiang Li 046; Lingjing Wang; Yi Fang 006 (3DV, 2021)

Virtual Touch: Computer Vision Augmented Touch-Free Scene Exploration for the Blind or Visually Impaired. - Xixuan Julie Liu; Yi Fang 006 (ICCVW, 2021)

Audi-Exchange: AI-Guided Hand-based Actions to Assist Human-Human Interactions for the Blind and the Visually Impaired. - Daohan Lu; Yi Fang 006 (ICCVW, 2021)

Residual Networks as Flows of Velocity Fields for Diffeomorphic Time Series Alignment. - Hao Huang 003; Boulbaba Ben Amor; Xichan Lin; Fan Zhu 001; Yi Fang 006 (CoRR, 2021)

G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation. - Hao Huang 003; Boulbaba Ben Amor; Xichan Lin; Fan Zhu 001; Yi Fang 006 (CoRR, 2021)

Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes. - Xiang Li 046; Lingjing Wang; Yi Fang 006 (CoRR, 2021)

RAR: Region-Aware Point Cloud Registration. - Yu Hao; Yi Fang 006 (CoRR, 2021)

Meta-Learning 3D Shape Segmentation Functions. - Yu Hao; Yi Fang 006 (CoRR, 2021)

3D Meta-Segmentation Neural Network. - Yu Hao; Yi Fang 006 (CoRR, 2021)

Topology Constrained Shape Correspondence. - Xiang Li 046; Congcong Wen; Lingjing Wang; Yi Fang 006 (IEEE Trans. Vis. Comput. Graph., 2021)

Meta-Det3D: Learn to Learn Few-Shot 3D Object Detection. - Shuaihang Yuan; Xiang Li 046; Hao Huang 003; Yi Fang 006 (ACCV (1), 2022)

Detect and Approach: Close-Range Navigation Support for People with Blindness and Low Vision. - Yu Hao; Junchi Feng; John-Ross Rizzo; Yao Wang 001; Yi Fang 006 (ECCV Workshops (6), 2022)

Manifold Adversarial Learning for Cross-domain 3D Shape Representation. - Hao Huang 003; Cheng Chen; Yi Fang 006 (ECCV (26), 2022)

Non-Rigid Multiple Point Set Registration Using Latent Gaussian Mixture. - Hao Huang 003; Cheng Chen; Yi Fang 006 (ICIP, 2022)

Adaptive Wavelet Transformer Network for 3D Shape Representation Learning. - Hao Huang 003; Yi Fang 006 (ICLR, 2022)

3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation. - Mengxi Wu; Hao Huang 003; Yi Fang 006 (ICPR, 2022)

Implicit Neural Representations for Medical Imaging Segmentation. - Muhammad Osama Khan; Yi Fang 006 (MICCAI (5), 2022)

HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces. - Qing Li 032; Yu-Shen Liu; Jin-San Cheng; Cheng Wang 003; Yi Fang 006; Zhizhong Han (NeurIPS, 2022)

Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds. - Junsheng Zhou; Baorui Ma; Yu-Shen Liu; Yi Fang 006; Zhizhong Han (NeurIPS, 2022)

Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster. - Zhongzheng Yuan; Tommy Azzino; Yu Hao; Yixuan Lyu; Haoyang Pei; Alain Boldini; Marco Mezzavilla; Mahya Beheshti; Maurizio Porfiri; Todd E. Hudson; William H. Seiple; Yi Fang 006; et al. (IEEE Access, 2022)

SHREC 2022: Protein-ligand binding site recognition. - Luca Gagliardi; Andrea Raffo; Ulderico Fugacci; Silvia Biasotti; Walter Rocchia; Hao Huang 003; Boulbaba Ben Amor; Yi Fang 006; Yuanyuan Zhang; Xiao Wang; Charles Christoffer; Daisuke Kihara; et al. (Comput. Graph., 2022)

SHREC'22 track: Sketch-based 3D shape retrieval in the wild. - Jie Qin; Shuaihang Yuan; Jiaxin Chen; Boulbaba Ben Amor; Yi Fang 006; Nhat Hoang-Xuan; Chi-Bien Chu; Khoi-Nguyen Nguyen-Ngoc; Thien-Tri Cao; Nhat-Khang Ngô; Tuan-Luc Huynh; Hai-Dang Nguyen; et al. (Comput. Graph., 2022)

Self-Supervised Point Cloud Representation Learning with Occlusion Auto-Encoder. - Junsheng Zhou; Xin Wen 003; Yu-Shen Liu; Yi Fang 006; Zhizhong Han (CoRR, 2022)

Height Estimation From Single Aerial Images Using a Deep Ordinal Regression Network. - Xiang Li 046; Mingyang Wang; Yi Fang 006 (IEEE Geosci. Remote. Sens. Lett., 2022)

Geometry-Aware Segmentation of Remote Sensing Images via Joint Height Estimation. - Xiang Li 046; Congcong Wen; Lingjing Wang; Yi Fang 006 (IEEE Geosci. Remote. Sens. Lett., 2022)

Few-Shot Object Detection on Remote Sensing Images. - Xiang Li 046; Jingyu Deng; Yi Fang 006 (IEEE Trans. Geosci. Remote. Sens., 2022)

GP-Aligner: Unsupervised Groupwise Nonrigid Point Set Registration Based on Optimizable Group Latent Descriptor. - Lingjing Wang; Nan Zhou; Hao Huang 003; Jifei Wang; Xiang Li 046; Yi Fang 006 (IEEE Trans. Geosci. Remote. Sens., 2022)

SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds. - Qing Li 032; Huifang Feng 002; Kanle Shi; Yue Gao 002; Yi Fang 006; Yu-Shen Liu; Zhizhong Han (CVPR, 2023)

LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes. - Meng Wang 001; Yu-Shen Liu; Yue Gao 002; Kanle Shi; Yi Fang 006; Zhizhong Han (CVPR, 2023)

Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation. - Peng Xiang; Xin Wen 003; Yu-Shen Liu; Hui Zhang 013; Yi Fang 006; Zhizhong Han (ICCV, 2023)

3D Unsupervised Region-Aware Registration Transformer. - Yu Hao; Yi Fang 006 (ICIP, 2023)

Pyramid Learnable Tokens for 3D LiDAR Place Recognition. - Congcong Wen; Hao Huang 003; Yu-Shen Liu; Yi Fang 006 (ICRA, 2023)

Understanding the Impact of Image Quality and Distance of Objects to Object Detection Performance. - Yu Hao; Haoyang Pei; Yixuan Lyu; Zhongzheng Yuan; John-Ross Rizzo; Yao Wang 001; Yi Fang 006 (IROS, 2023)

How Fair are Medical Imaging Foundation Models? - Muhammad Osama Khan; Muhammad Muneeb Afzal; Shujaat Mirza; Yi Fang 006 (ML4H@NeurIPS, 2023)

NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function. - Qing Li 032; Huifang Feng 002; Kanle Shi; Yue Gao 002; Yi Fang 006; Yu-Shen Liu; Zhizhong Han (NeurIPS, 2023)

Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching. - Junsheng Zhou; Baorui Ma; Wenyuan Zhang; Yi Fang 006; Yu-Shen Liu; Zhizhong Han (NeurIPS, 2023)

Neural Gradient Learning and Optimization for Oriented Point Normal Estimation. - Qing Li 032; Huifang Feng 002; Kanle Shi; Yi Fang 006; Yu-Shen Liu; Zhizhong Han (SIGGRAPH Asia, 2023)

Revisiting Fine-Tuning Strategies for Self-supervised Medical Imaging Analysis. - Muhammad Osama Khan; Yi Fang 006 (CoRR, 2023)

VisPercep: A Vision-Language Approach to Enhance Visual Perception for People with Blindness and Low Vision. - Yu Hao; Fan Yang; Hao Huang 003; Shuaihang Yuan; Sundeep Rangan; John-Ross Rizzo; Yao Wang 001; Yi Fang 006 (CoRR, 2023)

Unsupervised Category-Specific Partial Point Set Registration via Joint Shape Completion and Registration. - Xiang Li 046; Lingjing Wang; Yi Fang 006 (IEEE Trans. Vis. Comput. Graph., 2023)

FairCLIP: Harnessing Fairness in Vision-Language Learning. - Yan Luo 002; Min Shi 001; Muhammad Osama Khan; Muhammad Muneeb Afzal; Hao Huang 003; Shuaihang Yuan; Yu Tian 001; Luo Song; Ava Kouhana; Tobias Elze; Yi Fang 006; Mengyu Wang 001 (CVPR, 2024)

A Light and Smart Wearable Platform with Multimodal Foundation Model for Enhanced Spatial Reasoning in People with Blindness and Low Vision. - Alexey Magay; Dhurba Tripathi; Yu Hao; Yi Fang 006 (ECCV Workshops (12), 2024)

FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification. - Yu Tian 001; Congcong Wen; Min Shi 001; Muhammad Muneeb Afzal; Hao Huang 003; Muhammad Osama Khan; Yan Luo 002; Yi Fang 006; Mengyu Wang 001 (ECCV (76), 2024)

Towards Dual Transparent Liquid Level Estimation in Biomedical Lab: Dataset, Methods and Practices. - Xiayu Wang; Ke Ma; Ruiyun Zhong; Xinggang Wang; Yi Fang 006; Yang Xiao 007; Tian Xia (ECCV (65), 2024)

3D-TRANS: 3D Hierarchical Transformer for Shape Correspondence Learning. - Hao Huang 003; Shuaihang Yuan; Congcong Wen; Yu Hao; Yi Fang 006 (ICARA, 2024)

Meta-Learning 3D Shape Segmentation Functions. - Yu Hao; Hao Huang 003; Shuaihang Yuan; Yi Fang 006 (ICARA, 2024)

Zero-shot Object Navigation with Vision-Language Foundation Models Reasoning. - Shuaihang Yuan; Muhammad Shafique 001; Mohamed Riyadh Baghdadi; Farshad Khorrami; Anthony Tzes; Yi Fang 006 (ICARA, 2024)

Reference Convolutional Networks for 3D Deep Point Signature Learning. - Shuaihang Yuan; Anthony Tzes; Yi Fang 006 (ICARA, 2024)

Optimizing Personalized Robot Actions with Ranking of Trajectories. - Hao Huang 003; Yiyun Liu; Shuaihang Yuan; Congcong Wen; Yu Hao; Yi Fang 006 (ICPR (29), 2024)

Reliable Semantic Understanding for Real World Zero-Shot Object Goal Navigation. - Halil Utku Unlu; Shuaihang Yuan; Congcong Wen; Hao Huang 003; Anthony Tzes; Yi Fang 006 (ICPR (30), 2024)

Zero-Shot Object Navigation with Vision-Language Models Reasoning. - Congcong Wen; Yisiyuan Huang; Hao Huang 003; Yanjia Huang; Shuaihang Yuan; Yu Hao; Hui Lin; Yu-Shen Liu; Yi Fang 006 (ICPR (18), 2024)

Goal-Driven Transformer for Robot Behavior Learning from Play Data. - Congcong Wen; Jiazhao Liang; Shuaihang Yuan; Hao Huang 003; Yu Hao; Hui Lin; Yu-Shen Liu; Yi Fang 006 (ICPR (30), 2024)

Exploring the Reliability of Foundation Model-Based Frontier Selection in Zero-Shot Object Goal Navigation. - Shuaihang Yuan; Halil Utku Unlu; Hao Huang 003; Congcong Wen; Anthony Tzes; Yi Fang 006 (ICPR (30), 2024)

Noisy Few-shot 3D Point Cloud Scene Segmentation. - Hao Huang 003; Shuaihang Yuan; Congcong Wen; Yu Hao; Yi Fang 006 (ICRA, 2024)

3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds. - Junsheng Zhou; Xin Wen 003; Baorui Ma; Yu-Shen Liu; Yue Gao 002; Yi Fang 006; Zhizhong Han (ICRA, 2024)

Weakly Scene Segmentation Using Efficient Transformer. - Hao Huang 003; Shuaihang Yuan; Congcong Wen; Yu Hao; Yi Fang 006 (IROS, 2024)

ChatMap: A Wearable Platform Based on the Multi-modal Foundation Model to Augment Spatial Cognition for People with Blindness and Low Vision. - Yu Hao; Alexey Magay; Hao Huang 003; Shuaihang Yuan; Congcong Wen; Yi Fang 006 (IROS, 2024)

A Comprehensive Benchmark of Supervised and Self-supervised Pre-training on Multi-view Chest X-ray Classification. - Muhammad Muneeb Afzal; Muhammad Osama Khan; Yi Fang 006 (MIDL, 2024)

What Is the Best Way to Fine-Tune Self-supervised Medical Imaging Models? - Muhammad Osama Khan; Yi Fang 006 (MIUA (1), 2024)

GAMap: Zero-Shot Object Goal Navigation with Multi-Scale Geometric-Affordance Guidance. - Shuaihang Yuan; Hao Huang 003; Yu Hao; Congcong Wen; Anthony Tzes; Yi Fang 006 (NeurIPS, 2024)

A single 3D shape wavelet-based generative model. - Hao Huang 003; Shuaihang Yuan; Zheng Peng 013; Yu Hao; Congcong Wen; Yi Fang 006 (Comput. Graph., 2024)

How Secure Are Large Language Models (LLMs) for Navigation in Urban Environments? - Congcong Wen; Jiazhao Liang; Shuaihang Yuan; Hao Huang 003; Yi Fang 006 (CoRR, 2024)

Enhancing Socially-Aware Robot Navigation through Bidirectional Natural Language Conversation. - Congcong Wen; Yifan Liu; Geeta Chandra Raju Bethala; Zheng Peng 013; Hui Lin; Yu-Shen Liu; Yi Fang 006 (CoRR, 2024)

MultiTalk: Introspective and Extrospective Dialogue for Human-Environment-LLM Alignment. - Venkata Naren Devarakonda; Ali Umut Kaypak; Shuaihang Yuan; Prashanth Krishnamurthy; Yi Fang 006; Farshad Khorrami (CoRR, 2024)

Tracking Everything in Robotic-Assisted Surgery. - Bohan Zhan; Wang Zhao; Yi Fang 006; Bo Du; Francisco Vasconcelos 001; Danail Stoyanov; Daniel S. Elson; Baoru Huang (CoRR, 2024)

FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian Perturbation. - Yan Luo 002; Muhammad Osama Khan; Congcong Wen; Muhammad Muneeb Afzal; Titus Fidelis Wuermeling; Min Shi 001; Yu Tian 001; Yi Fang 006; Mengyu Wang 001 (CoRR, 2024)

Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning. - Yan Luo 002; Congcong Wen; Min Shi 001; Hao Huang 003; Yi Fang 006; Mengyu Wang 001 (CoRR, 2024)

Learning to learn point signature for 3D shape geometry. - Hao Huang 003; Lingjing Wang; Xiang Li 046; Shuaihang Yuan; Congcong Wen; Yu Hao; Yi Fang 006 (Pattern Recognit. Lett., 2024)

A Multi-Modal Foundation Model to Assist People with Blindness and Low Vision in Environmental Interaction. - Yu Hao; Fan Yang; Hao Huang 003; Shuaihang Yuan; Sundeep Rangan; John-Ross Rizzo; Yao Wang 001; Yi Fang 006 (J. Imaging, 2024)

Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation. - Qing Li 032; Huifang Feng 002; Kanle Shi; Yue Gao 002; Yi Fang 006; Yu-Shen Liu; Zhizhong Han (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

CAP-UDF: Learning Unsigned Distance Functions Progressively From Raw Point Clouds With Consistency-Aware Field Optimization. - Junsheng Zhou; Baorui Ma; Shujuan Li; Yu-Shen Liu; Yi Fang 006; Zhizhong Han (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

LAV-ACT: Language-Augmented Visual Action Chunking with Transformers for Bimanual Robotic Manipulation. - Dhurba Tripathi; Chunting Liu; Niraj Pudasaini; Yu Hao; Anthony Tzes; Yi Fang 006 (ICARA, 2025)

3D Shape Contrastive Representation Learning With Adversarial Examples. - Congcong Wen; Xiang Li 046; Hao Huang 003; Yu-Shen Liu; Yi Fang 006 (IEEE Trans. Multim., 2025)

Retrieval-Specific View Learning for Sketch-to-Shape Retrieval. - Shuaihang Yuan; Congcong Wen; Yu-Shen Liu; Yi Fang 006 (IEEE Trans. Multim., 2025)

Integrating Retrospective Framework in Multi-Robot Collaboration. - Jiazhao Liang; Hao Huang 003; Yu Hao; Geeta Chandra Raju Bethala; Congcong Wen; John-Ross Rizzo; Yi Fang 006 (CoRR, 2025)

A Chain-of-Thought Subspace Meta-Learning for Few-shot Image Captioning with Large Vision and Language Models. - Hao Huang 003; Shuaihang Yuan; Yu Hao; Congcong Wen; Yi Fang 006 (CoRR, 2025)

Embodied Chain of Action Reasoning with Multi-Modal Foundation Model for Humanoid Loco-manipulation. - Yu Hao; Geeta Chandra Raju Bethala; Niraj Pudasaini; Hao Huang 003; Shuaihang Yuan; Congcong Wen; Baoru Huang; Anh Nguyen 003; Yi Fang 006 (CoRR, 2025)

H2-COMPACT: Human-Humanoid Co-Manipulation via Adaptive Contact Trajectory Policies. - Geeta Chandra Raju Bethala; Hao Huang 003; Niraj Pudasaini; Abdullah Mohamed Ali; Shuaihang Yuan; Congcong Wen; Anthony Tzes; Yi Fang 006 (CoRR, 2025)

Hierarchical Scoring with 3D Gaussian Splatting for Instance Image-Goal Navigation. - Yijie Deng; Shuaihang Yuan; Geeta Chandra Raju Bethala; Anthony Tzes; Yu-Shen Liu; Yi Fang 006 (CoRR, 2025)

MapBERT: Bitwise Masked Modeling for Real-Time Semantic Mapping Generation. - Yijie Deng; Shuaihang Yuan; Congcong Wen; Hao Huang 003; Anthony Tzes; Geeta Chandra Raju Bethala; Yi Fang 006 (CoRR, 2025)

Wavelet Policy: Lifting Scheme for Policy Learning in Long-Horizon Tasks. - Hao Huang 003; Shuaihang Yuan; Geeta Chandra Raju Bethala; Congcong Wen; Anthony Tzes; Yi Fang 006 (CoRR, 2025)

FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA. - Minghan Li; Congcong Wen; Yu Tian 001; Min Shi 001; Yan Luo 002; Hao Huang 003; Yi Fang 006; Mengyu Wang 001 (CoRR, 2025)

CurveFlow: Curvature-Guided Flow Matching for Image Generation. - Yan Luo 002; Drake Du; Hao Huang 003; Yi Fang 006; Mengyu Wang 001 (CoRR, 2025)