1 code implementation • 17 Mar 2018 • Yongfeng Zhang, Qingyao Ai, Xu Chen, Pengfei Wang
In this work, we propose to reason over knowledge base embeddings for personalized recommendation.
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.
no code implementations • 11 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.
no code implementations • 5 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.
no code implementations • 13 Dec 2018 • Longxuan Ma, Pengfei Wang, Lei Zhang
Extracting appropriate features to represent a corpus is an important task for textual mining.
1 code implementation • 15 Aug 2019 • Pengfei Wang, Chengquan Zhang, Fei Qi, Zuming Huang, Mengyi En, Junyu Han, Jingtuo Liu, Errui Ding, Guangming Shi
Detecting scene text of arbitrary shapes has been a challenging task over the past years.
Ranked #18 on Scene Text Detection on ICDAR 2015
1 code implementation • 18 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.
Ranked #5 on Person Re-Identification on CUHK03 detected
no code implementations • 25 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
no code implementations • 23 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.
no code implementations • 21 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.
no code implementations • 9 Oct 2020 • Wayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu, Ji-Rong Wen
Top-N item recommendation has been a widely studied task from implicit feedback.
no code implementations • 12 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.
1 code implementation • 3 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.
no code implementations • 28 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
no code implementations • 22 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).
2 code implementations • 12 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)
1 code implementation • 22 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.
1 code implementation • 9 Sep 2021 • Zixiong Wang, Pengfei Wang, PengShuai Wang, Qiujie Dong, Junjie Gao, Shuangmin Chen, Shiqing Xin, Changhe Tu, Wenping Wang
We conducted extensive experiments on various benchmarks, including synthetic scans and real scans.
no code implementations • 29 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.
no code implementations • 1 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.
2 code implementations • 20 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.
Ranked #2 on Entity Alignment on DBP1M DE-EN
1 code implementation • 7 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.
no code implementations • 28 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.
no code implementations • 25 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.
1 code implementation • 27 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).
1 code implementation • 27 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.
no code implementations • 26 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.
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.
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.
1 code implementation • 25 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.
no code implementations • 2 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.
1 code implementation • 2 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).
1 code implementation • 13 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.
no code implementations • 5 Sep 2023 • Mengyao Guo, Xiaolin Zhang, Yuan Zhuang, Jing Chen, Pengfei Wang, Ze Gao
This paper explores using generative AI and aesthetics to promote cultural creativity in rural China amidst COVID-19's impact.
no code implementations • 6 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.
no code implementations • 18 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.
no code implementations • 10 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.
Ranked #8 on Zero Shot Segmentation on Segmentation in the Wild
no code implementations • 20 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.
1 code implementation • 4 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.
no code implementations • 14 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.
no code implementations • 14 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.
no code implementations • 2 Feb 2024 • Qingqing Long, Zheng Fang, Chen Fang, Chong Chen, Pengfei Wang, Yuanchun Zhou
To tackle the above issues, we propose a neural Spatial-Temporal Delay Differential Equation model, namely STDDE.
no code implementations • 18 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.
no code implementations • 20 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.
no code implementations • 26 Feb 2024 • Yihang Zhou, Qingqing Long, Yuchen Yan, Xiao Luo, Zeyu Dong, Xuezhi Wang, Zhen Meng, Pengfei Wang, Yuanchun Zhou
Zero-shot hashing (ZSH) has shown excellent success owing to its efficiency and generalization in large-scale retrieval scenarios.
no code implementations • 19 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.
2 code implementations • 9 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.
no code implementations • 11 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.
no code implementations • 13 Apr 2024 • Zhenwei Wang, Qiule Sun, Bingbing Zhang, Pengfei Wang, Jianxin Zhang, Qiang Zhang
The other is to classification on feature distribution of visual tokens from vision encoder.
no code implementations • 20 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.