Search Results for author: Ping Chen

Found 30 papers, 11 papers with code

Contrastive Learning of Sentence Representations

no code implementations ICON 2021 Hefei Qiu, Wei Ding, Ping Chen

Learning sentence representations which capture rich semantic meanings has been crucial for many NLP tasks.

Contrastive Learning Semantic Similarity +3

NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization

no code implementations7 Apr 2024 Peng Tu, Xun Zhou, Mingming Wang, Xiaojun Yang, Bo Peng, Ping Chen, Xiu Su, Yawen Huang, Yefeng Zheng, Chang Xu

Neural Radiance Fields (NeRF) have emerged as a paradigm-shifting methodology for the photorealistic rendering of objects and environments, enabling the synthesis of novel viewpoints with remarkable fidelity.

Autonomous Vehicles Point Cloud Generation

Transfer and Alignment Network for Generalized Category Discovery

1 code implementation27 Dec 2023 Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen

On the other hand, we use these prototypes to calibrate noisy prototypes estimated from unlabeled data based on category similarities, which allows for more accurate estimation of prototypes for novel categories that can be used as reliable learning targets later.

Attribute Representation Learning +1

Generalized Category Discovery with Large Language Models in the Loop

no code implementations18 Dec 2023 Wenbin An, Wenkai Shi, Feng Tian, Haonan Lin, Qianying Wang, Yaqiang Wu, Mingxiang Cai, Luyan Wang, Yan Chen, Haiping Zhu, Ping Chen

Then we propose a Scalable Query strategy to allow LLMs to choose true neighbors of the selected samples from multiple candidate samples.

Active Learning Contrastive Learning

Learning Triangular Distribution in Visual World

1 code implementation30 Nov 2023 Ping Chen, Xingpeng Zhang, Chengtao Zhou, Dichao Fan, Peng Tu, Le Zhang, Yanlin Qian

Convolution neural network is successful in pervasive vision tasks, including label distribution learning, which usually takes the form of learning an injection from the non-linear visual features to the well-defined labels.

A Diffusion Weighted Graph Framework for New Intent Discovery

1 code implementation24 Oct 2023 Wenkai Shi, Wenbin An, Feng Tian, Qinghua Zheng, Qianying Wang, Ping Chen

New Intent Discovery (NID) aims to recognize both new and known intents from unlabeled data with the aid of limited labeled data containing only known intents.

Contrastive Learning Intent Discovery

DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery

1 code implementation16 Oct 2023 Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Qinghua Zheng, Qianying Wang, Ping Chen

Specifically, we retrieve k-nearest neighbors of a query as its positive keys to capture semantic similarities between data and then aggregate information from the neighbors to learn compact cluster representations, which can make fine-grained categories more separatable.

Representation Learning

DAA: A Delta Age AdaIN operation for age estimation via binary code transformer

1 code implementation CVPR 2023 Ping Chen, Xingpeng Zhang, Ye Li, Ju Tao, Bin Xiao, Bing Wang, Zongjie Jiang

Inspired by the transfer learning, we designed the Delta Age AdaIN (DAA) operation to obtain the feature difference with each age, which obtains the style map of each age through the learned values representing the mean and standard deviation.

Age Estimation Transfer Learning

Generalized Category Discovery with Decoupled Prototypical Network

2 code implementations28 Nov 2022 Wenbin An, Feng Tian, Qinghua Zheng, Wei Ding, Qianying Wang, Ping Chen

Furthermore, the coupled training approach prevents these models transferring category-specific knowledge explicitly from labeled data to unlabeled data, which can lose high-level semantic information and impair model performance.

UV-Based 3D Hand-Object Reconstruction with Grasp Optimization

no code implementations24 Nov 2022 Ziwei Yu, Linlin Yang, You Xie, Ping Chen, Angela Yao

We propose a novel framework for 3D hand shape reconstruction and hand-object grasp optimization from a single RGB image.

Object Object Reconstruction

Annotation of Chinese Predicate Heads and Relevant Elements

no code implementations23 Mar 2021 Yanping Chen, Wenfan Jin, Yongbin Qin, Ruizhang Huang, Qinghua Zheng, Ping Chen

This annotation guideline emphasizes the role of the predicate as the structural center of a sentence.


I2UV-HandNet: Image-to-UV Prediction Network for Accurate and High-fidelity 3D Hand Mesh Modeling

no code implementations ICCV 2021 Ping Chen, Yujin Chen, Dong Yang, Fangyin Wu, Qin Li, Qingpei Xia, Yong Tan

Reconstructing a high-precision and high-fidelity 3D human hand from a color image plays a central role in replicating a realistic virtual hand in human-computer interaction and virtual reality applications.

Image Super-Resolution Image-to-Image Translation +1

Semantic-preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection

1 code implementation11 Sep 2020 Lan Zhang, Peng Liu, Yoon-Ho Choi, Ping Chen

As an increasing number of deep-learning-based malware scanners have been proposed, the existing evasion techniques, including code obfuscation and polymorphic malware, are found to be less effective.

Malware Detection reinforcement-learning +1

Risk Modelling on Liquidations with Lévy Processes

no code implementations2 Jul 2020 Aili Zhang, Ping Chen, Shuanming Li, Wenyuan Wang

The results have semi-explicit expressions in terms of the scale functions and the L\'{e}vy triplets associated with the two underlying L\'{e}vy processes.

Integrating Boundary Assembling into a DNN Framework for Named Entity Recognition in Chinese Social Media Text

no code implementations27 Feb 2020 Zhaoheng Gong, Ping Chen, Jiang Zhou

Named entity recognition is a challenging task in Natural Language Processing, especially for informal and noisy social media text.

Boundary Detection Chinese Word Segmentation +4

Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance

no code implementations23 Feb 2020 Matthew Almeida, Wei Ding, Scott Crouter, Ping Chen

To overcome this dilemma, we take a different perspective and investigate a new approach to handle inaccuracy and uncertainty in the training data labels, which are inevitable in many applications where labels are conceptual and labeling is performed by human annotators.

Activity Recognition Classification +1

SummerTime: Variable-length Time SeriesSummarization with Applications to PhysicalActivity Analysis

no code implementations20 Feb 2020 Kevin M. Amaral, Zihan Li, Wei Ding, Scott Crouter, Ping Chen

Summarization conducted by the \textit{SummerTime} method will be a fixed-length feature vector which can be used in-place of the time series dataset for use with classical machine learning methods.

General Classification regression +2

Flow Rate Control in Smart District Heating Systems Using Deep Reinforcement Learning

no code implementations1 Dec 2019 Tinghao Zhang, Jing Luo, Ping Chen, Jie Liu

At high latitudes, many cities adopt a centralized heating system to improve the energy generation efficiency and to reduce pollution.

reinforcement-learning Reinforcement Learning (RL)

Generalized Expected Discounted Penalty Function at General Drawdown for Lévy Risk Processes

no code implementations3 Jun 2019 Wenyuan Wang, Ping Chen, Shuanming Li

This paper considers an insurance surplus process modeled by a spectrally negative L\'{e}vy process.

Predicting the Quality of Short Narratives from Social Media

no code implementations8 Jul 2017 Tong Wang, Ping Chen, Boyang Li

An important and difficult challenge in building computational models for narratives is the automatic evaluation of narrative quality.

Active Learning

A Semantic QA-Based Approach for Text Summarization Evaluation

no code implementations21 Apr 2017 Ping Chen, Fei Wu, Tong Wang, Wei Ding

In this paper, we will present some preliminary results on one especially useful and challenging problem in NLP system evaluation: how to pinpoint content differences of two text passages (especially for large pas-sages such as articles and books).

Machine Translation Text Simplification +2

Bag-of-Words Method Applied to Accelerometer Measurements for the Purpose of Classification and Energy Estimation

no code implementations5 Apr 2017 Kevin M. Amaral, Ping Chen, Scott Crouter, Wei Ding

For this, our approach utilizes a mathematical model originating in natural language processing, the bag-of-words model, that has in the past years been appearing in diverse disciplines outside of the natural language processing field such as image processing.

General Classification regression

Topic Modeling over Short Texts by Incorporating Word Embeddings

1 code implementation27 Sep 2016 Jipeng Qiang, Ping Chen, Tong Wang, Xindong Wu

Inferring topics from the overwhelming amount of short texts becomes a critical but challenging task for many content analysis tasks, such as content charactering, user interest profiling, and emerging topic detecting.

Word Embeddings

An Experimental Study of LSTM Encoder-Decoder Model for Text Simplification

no code implementations13 Sep 2016 Tong Wang, Ping Chen, Kevin Amaral, Jipeng Qiang

Text simplification (TS) aims to reduce the lexical and structural complexity of a text, while still retaining the semantic meaning.

Sentence Text Simplification

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