Search Results for author: Pengfei Wang

Found 56 papers, 20 papers with code

Open Vocabulary 3D Scene Understanding via Geometry Guided Self-Distillation

no code implementations18 Jul 2024 Pengfei Wang, Yuxi Wang, Shuai Li, Zhaoxiang Zhang, Zhen Lei, Lei Zhang

The scarcity of large-scale 3D-text paired data poses a great challenge on open vocabulary 3D scene understanding, and hence it is popular to leverage internet-scale 2D data and transfer their open vocabulary capabilities to 3D models through knowledge distillation.

Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction

1 code implementation24 Jun 2024 Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang

To tackle this challenge, we propose a generic model for enabling the current GNN-based methods to preserve topology-free patterns.

Dynamic and Adaptive Feature Generation with LLM

no code implementations4 Jun 2024 Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar, Yuanchun Zhou, Pengfei Wang, Kunpeng Liu

The representation of feature space is a crucial environment where data points get vectorized and embedded for upcoming modeling.

Automated Feature Engineering Feature Engineering

A Comprehensive Survey on Data Augmentation

no code implementations15 May 2024 Zaitian Wang, Pengfei Wang, Kunpeng Liu, Pengyang Wang, Yanjie Fu, Chang-Tien Lu, Charu C. Aggarwal, Jian Pei, Yuanchun Zhou

Existing literature surveys only focus on a certain type of specific modality data, and categorize these methods from modality-specific and operation-centric perspectives, which lacks a consistent summary of data augmentation methods across multiple modalities and limits the comprehension of how existing data samples serve the data augmentation process.

Data Augmentation

TFWT: Tabular Feature Weighting with Transformer

no code implementations14 May 2024 Xinhao Zhang, Zaitian Wang, Lu Jiang, Wanfu Gao, Pengfei Wang, Kunpeng Liu

In this paper, we propose a novel feature weighting method to address the limitation of existing feature processing methods for tabular data.

FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization

1 code implementation10 May 2024 Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou

Federated Learning faces significant challenges in statistical and system heterogeneity, along with high energy consumption, necessitating efficient client selection strategies.

Decision Making Decoder +1

NeurCADRecon: Neural Representation for Reconstructing CAD Surfaces by Enforcing Zero Gaussian Curvature

no code implementations20 Apr 2024 Qiujie Dong, Rui Xu, Pengfei Wang, Shuangmin Chen, Shiqing Xin, Xiaohong Jia, Wenping Wang, Changhe Tu

Despite recent advances in reconstructing an organic model with the neural signed distance function (SDF), the high-fidelity reconstruction of a CAD model directly from low-quality unoriented point clouds remains a significant challenge.

UAV-enabled Collaborative Beamforming via Multi-Agent Deep Reinforcement Learning

no code implementations11 Apr 2024 Saichao Liu, Geng Sun, Jiahui Li, Shuang Liang, Qingqing Wu, Pengfei Wang, Dusit Niyato

To improve the work efficiency of the UVAA, we formulate a UAV-enabled collaborative beamforming multi-objective optimization problem (UCBMOP) to simultaneously maximize the transmission rate of the UVAA and minimize the energy consumption of all UAVs by optimizing the positions and excitation current weights of all UAVs.

reinforcement-learning

scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph Embedding

1 code implementation9 Apr 2024 Ping Xu, Zhiyuan Ning, Meng Xiao, Guihai Feng, Xin Li, Yuanchun Zhou, Pengfei Wang

Addressing these limitations, we introduce scCDCG (single-cell RNA-seq Clustering via Deep Cut-informed Graph), a novel framework designed for efficient and accurate clustering of scRNA-seq data that simultaneously utilizes intercellular high-order structural information.

Clustering Dimensionality Reduction +3

Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai

no code implementations19 Mar 2024 Zhichao Feng, Junjiie Xie, Kaiyuan Li, Yu Qin, Pengfei Wang, Qianzhong Li, Bin Yin, Xiang Li, Wei Lin, Shangguang Wang

We first identify contexts that share similar user preferences with the target context and then locate the corresponding PoIs based on these identified contexts.

Sequential Recommendation

Question Calibration and Multi-Hop Modeling for Temporal Question Answering

no code implementations20 Feb 2024 Chao Xue, Di Liang, Pengfei Wang, Jing Zhang

In the real world, many facts contained in KGs are time-constrained thus temporal KGQA has received increasing attention.

Knowledge Graphs Multi-hop Question Answering +1

scInterpreter: Training Large Language Models to Interpret scRNA-seq Data for Cell Type Annotation

no code implementations18 Feb 2024 Cong Li, Meng Xiao, Pengfei Wang, Guihai Feng, Xin Li, Yuanchun Zhou

Despite the inherent limitations of existing Large Language Models in directly reading and interpreting single-cell omics data, they demonstrate significant potential and flexibility as the Foundation Model.

Language Modelling Large Language Model

Delayed finite-dimensional observer-based control of 2D linear parabolic PDEs

no code implementations14 Jan 2024 Pengfei Wang, Emilia Fridman

To compensate the output delay that appears in the infinite-dimensional part of the closed-loop system, for the first time for delayed PDEs we suggest a vector Lyapunov functional combined with the recently introduced vector Halanay inequality.

Left-right Discrepancy for Adversarial Attack on Stereo Networks

no code implementations14 Jan 2024 Pengfei Wang, Xiaofei Hui, Beijia Lu, Nimrod Lilith, Jun Liu, Sameer Alam

Stereo matching neural networks often involve a Siamese structure to extract intermediate features from left and right images.

Adversarial Attack Disparity Estimation +1

Text2MDT: Extracting Medical Decision Trees from Medical Texts

1 code implementation4 Jan 2024 Wei Zhu, Wenfeng Li, Xing Tian, Pengfei Wang, Xiaoling Wang, Jin Chen, Yuanbin Wu, Yuan Ni, Guotong Xie

In this work, we propose a novel task, Text2MDT, to explore the automatic extraction of MDTs from medical texts such as medical guidelines and textbooks.

D3Former: Jointly Learning Repeatable Dense Detectors and Feature-enhanced Descriptors via Saliency-guided Transformer

no code implementations20 Dec 2023 Junjie Gao, Pengfei Wang, Qiujie Dong, Qiong Zeng, Shiqing Xin, Caiming Zhang

Notably, tests on 3DLoMatch, even with a low overlap ratio, show that our method consistently outperforms recently published approaches such as RoReg and RoITr.

Point Cloud Registration

OpenSD: Unified Open-Vocabulary Segmentation and Detection

no code implementations10 Dec 2023 Shuai Li, Minghan Li, Pengfei Wang, Lei Zhang

To address these challenges, we present a universal transformer-based framework, abbreviated as OpenSD, which utilizes the same architecture and network parameters to handle open-vocabulary segmentation and detection tasks.

Decoder Segmentation +1

A Comprehensive Survey on Vector Database: Storage and Retrieval Technique, Challenge

no code implementations18 Oct 2023 Yikun Han, Chunjiang Liu, Pengfei Wang

A vector database is used to store high-dimensional data that cannot be characterized by traditional DBMS.

Quantization Retrieval

Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning

no code implementations6 Sep 2023 Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou

Subsequently, we utilize the defined query-aware temporal paths on a history temporal graph to model historical path information related to queries for reasoning.

TextDiff: Mask-Guided Residual Diffusion Models for Scene Text Image Super-Resolution

1 code implementation13 Aug 2023 Baolin Liu, Zongyuan Yang, Pengfei Wang, Junjie Zhou, Ziqi Liu, Ziyi Song, Yan Liu, Yongping Xiong

Moreover, our proposed MRD module is plug-and-play that effectively sharpens the text edges produced by SOTA methods.

Image Super-Resolution

DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation

no code implementations2 Aug 2023 Jingfan Chen, Yuxi Wang, Pengfei Wang, Xiao Chen, Zhaoxiang Zhang, Zhen Lei, Qing Li

The Class Incremental Semantic Segmentation (CISS) extends the traditional segmentation task by incrementally learning newly added classes.

Class-Incremental Semantic Segmentation Segmentation

MultiEM: Efficient and Effective Unsupervised Multi-Table Entity Matching

1 code implementation2 Aug 2023 Xiaocan Zeng, Pengfei Wang, YUREN MAO, Lu Chen, Xiaoze Liu, Yunjun Gao

Traditional unsupervised EM assumes that all entities come from two tables; however, it is more common to match entities from multiple tables in practical applications, that is, multi-table entity matching (multi-table EM).

Management

Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning

1 code implementation25 Apr 2023 Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu

Temporal knowledge graph (TKG) reasoning aims to predict the future missing facts based on historical information and has gained increasing research interest recently.

Modeling Entities as Semantic Points for Visual Information Extraction in the Wild

no code implementations CVPR 2023 Zhibo Yang, Rujiao Long, Pengfei Wang, Sibo Song, Humen Zhong, Wenqing Cheng, Xiang Bai, Cong Yao

As the first contribution of this work, we curate and release a new dataset for VIE, in which the document images are much more challenging in that they are taken from real applications, and difficulties such as blur, partial occlusion, and printing shift are quite common.

Text Spotting

Sharpness-Aware Gradient Matching for Domain Generalization

1 code implementation CVPR 2023 Pengfei Wang, Zhaoxiang Zhang, Zhen Lei, Lei Zhang

In this paper, we present two conditions to ensure that the model could converge to a flat minimum with a small loss, and present an algorithm, named Sharpness-Aware Gradient Matching (SAGM), to meet the two conditions for improving model generalization capability.

Domain Generalization

Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection

no code implementations26 Feb 2023 Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu

Furthermore, we reconstruct feature selection solutions using these embeddings and select the feature subset with the highest performance for downstream tasks as the optimal subset.

Decoder feature selection

Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation

1 code implementation27 Jan 2023 Huanran Zheng, Wei Zhu, Pengfei Wang, Xiaoling Wang

In this paper, we propose a simple but effective method called "Candidate Soups," which can obtain high-quality translations while maintaining the inference speed of NAT models.

Translation

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents

1 code implementation27 Dec 2022 Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu

Feature transformation for AI is an essential task to boost the effectiveness and interpretability of machine learning (ML).

feature selection

Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations

no code implementations25 Dec 2022 Dongkun Wang, Wei Fan, Pengyang Wang, Pengfei Wang, Dongjie Wang, Denghui Zhang, Yanjie Fu

To tackle the challenge, we propose a generic model for enabling the current traffic speed prediction methods to preserve implicit spatial correlations.

Graph Soft-Contrastive Learning via Neighborhood Ranking

no code implementations28 Sep 2022 Zhiyuan Ning, Pengfei Wang, Pengyang Wang, Ziyue Qiao, Wei Fan, Denghui Zhang, Yi Du, Yuanchun Zhou

Moreover, as the neighborhood size exponentially expands with more hops considered, we propose neighborhood sampling strategies to improve learning efficiency.

Contrastive Learning Self-Supervised Learning

Style Interleaved Learning for Generalizable Person Re-identification

1 code implementation7 Jul 2022 Wentao Tan, Changxing Ding, Pengfei Wang, Mingming Gong, Kui Jia

This common practice causes the model to overfit to existing feature styles in the source domain, resulting in sub-optimal generalization ability on target domains.

Computational Efficiency Domain Generalization +2

ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities

2 code implementations20 May 2022 Yunjun Gao, Xiaoze Liu, Junyang Wu, Tianyi Li, Pengfei Wang, Lu Chen

To tackle this challenge, we present ClusterEA, a general framework that is capable of scaling up EA models and enhancing their results by leveraging normalization methods on mini-batches with a high entity equivalent rate.

Entity Alignment Entity Embeddings +1

Quality-aware Part Models for Occluded Person Re-identification

no code implementations1 Jan 2022 Pengfei Wang, Changxing Ding, Zhiyin Shao, Zhibin Hong, Shengli Zhang, DaCheng Tao

Existing approaches typically rely on outside tools to infer visible body parts, which may be suboptimal in terms of both computational efficiency and ReID accuracy.

Computational Efficiency Person Re-Identification

Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy

no code implementations29 Sep 2021 Kunpeng Liu, Pengfei Wang, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu

In this paper, we propose a single-agent Monte Carlo based reinforced feature selection (MCRFS) method, as well as two efficiency improvement strategies, i. e., early stopping (ES) strategy and reward-level interactive (RI) strategy.

feature selection

Uncertainty-aware Clustering for Unsupervised Domain Adaptive Object Re-identification

1 code implementation22 Aug 2021 Pengfei Wang, Changxing Ding, Wentao Tan, Mingming Gong, Kui Jia, DaCheng Tao

In particular, the performance of our unsupervised UCF method in the MSMT17$\to$Market1501 task is better than that of the fully supervised setting on Market1501.

Clustering Object

PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network

2 code implementations12 Apr 2021 Pengfei Wang, Chengquan Zhang, Fei Qi, Shanshan Liu, Xiaoqiang Zhang, Pengyuan Lyu, Junyu Han, Jingtuo Liu, Errui Ding, Guangming Shi

With a PG-CTC decoder, we gather high-level character classification vectors from two-dimensional space and decode them into text symbols without NMS and RoI operations involved, which guarantees high efficiency.

 Ranked #1 on Scene Text Detection on ICDAR 2015 (Accuracy metric)

Decoder Optical Character Recognition (OCR) +2

IPAPRec: A promising tool for learning high-performance mapless navigation skills with deep reinforcement learning

no code implementations22 Mar 2021 Wei zhang, Yunfeng Zhang, Ning Liu, Kai Ren, Pengfei Wang

This paper studies how to improve the generalization performance and learning speed of the navigation agents trained with deep reinforcement learning (DRL).

Reinforcement Learning (RL)

Beating the Standard Quantum Limit under Ambient Conditions with Solid-State Spins

no code implementations28 Jan 2021 Tianyu Xie, Zhiyuan Zhao, Xi Kong, Wenchao Ma, Mengqi Wang, Xiangyu Ye, Pei Yu, Zhiping Yang, Shaoyi Xu, Pengfei Wang, Ya Wang, Fazhan Shi, Jiangfeng Du

However, it has not been realized in solid-state spin systems at ambient conditions, owing to its intrinsic complexity for the preparation and survival of pure and entangled quantum states.

Quantum Physics

RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms

1 code implementation3 Nov 2020 Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen

In this library, we implement 73 recommendation models on 28 benchmark datasets, covering the categories of general recommendation, sequential recommendation, context-aware recommendation and knowledge-based recommendation.

Collaborative Filtering Sequential Recommendation

Beyond the Attention: Distinguish the Discriminative and Confusable Features For Fine-grained Image Classification

no code implementations12 Oct 2020 Xiruo Shi, Liutong Xu, Pengfei Wang, Yuanyuan Gao, Haifang Jian, Wu Liu

Specifically, LAFE utilizes the region attention modules and channel attention modules to extract discriminative features and confusable features respectively.

Classification Fine-Grained Image Classification +1

Batch Coherence-Driven Network for Part-aware Person Re-Identification

no code implementations21 Sep 2020 Kan Wang, Pengfei Wang, Changxing Ding, DaCheng Tao

First, we introduce a batch coherence-guided channel attention (BCCA) module that highlights the relevant channels for each respective part from the output of a deep backbone model.

Person Re-Identification

Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning

no code implementations23 Aug 2020 Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou

The integrated hierarchical aggregation module aims to preserve the tree structure by combining GNN with Gated Recurrent Unit to integrate the hierarchical and sequential neighborhood information on the tree structure to node representations.

Graph Neural Network Graph Representation Learning +1

The Progress, Challenges, and Perspectives of Directed Greybox Fuzzing

no code implementations25 May 2020 Pengfei Wang, Xu Zhou

By analyzing the benefits and limitations of DGF research, we try to identify gaps in current research, meanwhile, reveal new research opportunities, and suggest areas for further investigation.

Cryptography and Security

Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification

1 code implementation18 Mar 2020 Changxing Ding, Kan Wang, Pengfei Wang, DaCheng Tao

MPN has three key advantages: 1) it does not need to conduct body part detection in the inference stage; 2) its model is very compact and efficient for both training and testing; 3) in the training stage, it requires only coarse priors of body part locations, which are easy to obtain.

Multi-Task Learning Person Re-Identification

Dynamic Feature Generation Network for Answer Selection

no code implementations13 Dec 2018 Longxuan Ma, Pengfei Wang, Lei Zhang

Extracting appropriate features to represent a corpus is an important task for textual mining.

Answer Selection Retrieval +1

Dynamic Spatio-temporal Graph-based CNNs for Traffic Prediction

no code implementations5 Dec 2018 Ken Chen, Fei Chen, Baisheng Lai, Zhongming Jin, Yong liu, Kai Li, Long Wei, Pengfei Wang, Yandong Tang, Jianqiang Huang, Xian-Sheng Hua

To capture the graph dynamics, we use the graph prediction stream to predict the dynamic graph structures, and the predicted structures are fed into the flow prediction stream.

Traffic Prediction

A Detection and Segmentation Architecture for Skin Lesion Segmentation on Dermoscopy Images

no code implementations11 Sep 2018 Chengyao Qian, Ting Liu, Hao Jiang, Zhe Wang, Pengfei Wang, Mingxin Guan, Biao Sun

This report summarises our method and validation results for the ISIC Challenge 2018 - Skin Lesion Analysis Towards Melanoma Detection - Task 1: Lesion Segmentation.

Lesion Segmentation Segmentation +1

Left-Right Comparative Recurrent Model for Stereo Matching

no code implementations CVPR 2018 Zequn Jie, Pengfei Wang, Yonggen Ling, Bo Zhao, Yunchao Wei, Jiashi Feng, Wei Liu

Left-right consistency check is an effective way to enhance the disparity estimation by referring to the information from the opposite view.

Disparity Estimation Stereo Matching +1

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