Search Results for author: Jinfeng Xu

Found 18 papers, 12 papers with code

RAINER: A Robust Ensemble Learning Grid Search-Tuned Framework for Rainfall Patterns Prediction

no code implementations28 Jan 2025 Zhenqi Li, Junhao Zhong, Hewei Wang, Jinfeng Xu, Yijie Li, Jinjiang You, Jiayi Zhang, Runzhi Wu, Soumyabrata Dev

Existing approaches lack systematic utilization of grid search for optimal hyperparameter tuning, relying instead on heuristic or manual selection, frequently resulting in sub-optimal results.

Dimensionality Reduction Ensemble Learning +3

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation

1 code implementation26 Jan 2025 Yijie Li, Hewei Wang, Jinfeng Xu, Zixiao Ma, Puzhen Wu, Shaofan Wang, Soumyabrata Dev

Remote sensing image segmentation is pivotal for earth observation, underpinning applications such as environmental monitoring and urban planning.

Data Augmentation Diversity +3

CeViT: Copula-Enhanced Vision Transformer in multi-task learning and bi-group image covariates with an application to myopia screening

1 code implementation11 Jan 2025 Chong Zhong, Yang Li, Jinfeng Xu, Xiang Fu, Yunhao Liu, Qiuyi Huang, Danjuan Yang, Meiyan Li, Aiyi Liu, Alan H. Welsh, Xingtao Zhou, Bo Fu, Catherine C. Liu

We aim to assist image-based myopia screening by resolving two longstanding problems, "how to integrate the information of ocular images of a pair of eyes" and "how to incorporate the inherent dependence among high-myopia status and axial length for both eyes."

Multi-Task Learning

Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges

no code implementations16 Oct 2024 Handi Chen, Weipeng Deng, Shuo Yang, Jinfeng Xu, Zhihan Jiang, Edith C. H. Ngai, Jiangchuan Liu, Xue Liu

The integration of Large Language Models (LLMs) empowers EI to evolve into the next stage: Edge General Intelligence (EGI), enabling more adaptive and versatile applications that require advanced understanding and reasoning capabilities.

Survey

AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation

1 code implementation4 Sep 2024 Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, Edith C. -H. Ngai

Extensive experiments on two real-world datasets validate that our AlignGroup outperforms the state-of-the-art on both the group recommendation task and the user recommendation task, as well as outperforms the efficiency of most baselines.

Decision Making

More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding

1 code implementation28 Aug 2024 Yuan Tang, Xu Han, Xianzhi Li, Qiao Yu, Jinfeng Xu, Yixue Hao, Long Hu, Min Chen

To address this task, we introduce GreenPLM, which leverages more text data to compensate for the lack of 3D data.

PointDreamer: Zero-shot 3D Textured Mesh Reconstruction from Colored Point Cloud

1 code implementation22 Jun 2024 Qiao Yu, Xianzhi Li, Yuan Tang, Xu Han, Jinfeng Xu, Long Hu, Min Chen

Regarding this, we propose PointDreamer, a novel framework for textured mesh reconstruction from colored point cloud via diffusion-based 2D inpainting.

Image Inpainting

FourierKAN-GCF: Fourier Kolmogorov-Arnold Network -- An Effective and Efficient Feature Transformation for Graph Collaborative Filtering

1 code implementation3 Jun 2024 Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Edith C. -H. Ngai

We revisit these two components and discover that a part of feature transformation and nonlinear operation during message passing in GCN can improve the representation of GCF, but increase the difficulty of training.

Collaborative Filtering

PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation

1 code implementation CVPR 2024 Jinfeng Xu, Siyuan Yang, Xianzhi Li, Yuan Tang, Yixue Hao, Long Hu, Min Chen

Existing point cloud semantic segmentation networks cannot identify unknown classes and update their knowledge, due to a closed-set and static perspective of the real world, which would induce the intelligent agent to make bad decisions.

Decoder Knowledge Distillation +2

MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation

1 code implementation29 Feb 2024 Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Edith C. -H. Ngai

It utilizes multimodal information to alleviate the data sparsity problem in recommendation systems, thus improving recommendation accuracy.

cross-modal alignment Multimodal Recommendation +1

Point-LGMask: Local and Global Contexts Embedding for Point Cloud Pre-training with Multi-Ratio Masking

1 code implementation IEEE Transactions on Multimedia 2023 Yuan Tang, Xianzhi Li, Jinfeng Xu, Qiao Yu, Long Hu, Yixue Hao, Min Chen

In our work, we present Point-LGMask, a novel method to embed both local and global contexts with multi-ratio masking, which is quite effective for self-supervised feature learning of point clouds but is unfortunately ignored by existing pre-training works.

3D Object Detection 3D Semantic Segmentation +3

CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion

2 code implementations24 Nov 2022 Jinfeng Xu, Xianzhi Li, Yuan Tang, Qiao Yu, Yixue Hao, Long Hu, Min Chen

In our work, we present CasFusionNet, a novel cascaded network for point cloud semantic scene completion by dense feature fusion.

Segmentation Semantic Segmentation

Improving Feature Extraction from Histopathological Images Through A Fine-tuning ImageNet Model

no code implementations3 Jan 2022 Xingyu Li, Min Cen, Jinfeng Xu, Hong Zhang, Xu Steven Xu

The extracted features from the finetuned FTX2048 exhibited significantly higher accuracy for predicting tisue types of CRC compared to the off the shelf feature directly from Xception based on ImageNet database.

Prediction Transfer Learning

On Scalable Inference with Stochastic Gradient Descent

no code implementations1 Jul 2017 Yixin Fang, Jinfeng Xu, Lei Yang

In many applications involving large dataset or online updating, stochastic gradient descent (SGD) provides a scalable way to compute parameter estimates and has gained increasing popularity due to its numerical convenience and memory efficiency.

quantile regression

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