Search Results for author: Jingwei Liu

Found 14 papers, 2 papers with code

Structure-Guided Adversarial Training of Diffusion Models

no code implementations27 Feb 2024 Ling Yang, Haotian Qian, Zhilong Zhang, Jingwei Liu, Bin Cui

In this pioneering approach, we compel the model to learn manifold structures between samples in each training batch.

Conditional Image Generation Denoising

Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing

1 code implementation26 Feb 2024 Ling Yang, Zhilong Zhang, Zhaochen Yu, Jingwei Liu, Minkai Xu, Stefano Ermon, Bin Cui

To address this issue, we propose a novel and general contextualized diffusion model (ContextDiff) by incorporating the cross-modal context encompassing interactions and alignments between text condition and visual sample into forward and reverse processes.

Text-to-Image Generation Text-to-Video Editing +1

Local-Global Information Interaction Debiasing for Dynamic Scene Graph Generation

no code implementations10 Aug 2023 Xinyu Lyu, Jingwei Liu, Yuyu Guo, Lianli Gao

Long-temporal human actions supervise the model to generate multiple scene graphs that conform to the global constraints and avoid the model being unable to learn the tail predicates.

Graph Generation Multi-Task Learning +1

A Neural Network Implementation for Free Energy Principle

no code implementations11 Jun 2023 Jingwei Liu

This paper gives a preliminary attempt at bridging FEP and machine learning, via a classical neural network model, the Helmholtz machine.

Math

Hybrid Multimodal Fusion for Humor Detection

no code implementations24 Sep 2022 Haojie Xu, Weifeng Liu, Jingwei Liu, Mingzheng Li, Yu Feng, Yasi Peng, Yunwei Shi, Xiao Sun, Meng Wang

Our experiments demonstrate the effectiveness of our proposed model and hybrid fusion strategy on multimodal fusion, and the AUC of our proposed model on the test set is 0. 8972.

Humor Detection

European Power Option Pricing with Extended Vasicěk Interest Rate and Exponential Ornstein-Uhlenbeck Asset Process under Different Market Assumptions

no code implementations21 May 2022 Jingwei Liu

We first develop European power option pricing in two types of payoffs with martingale method under the market assumption that Vasic\v{e}k interest rate and exponential Ornstein-Uhlenbeck process are correlated in equivalent martingale measure probability space.

Piecing and Chipping: An effective solution for the information-erasing view generation in Self-supervised Learning

no code implementations29 Sep 2021 Jingwei Liu, Yi Gu, Shentong Mo, Zhun Sun, Shumin Han, Jiafeng Guo, Xueqi Cheng

In self-supervised learning frameworks, deep networks are optimized to align different views of an instance that contains the similar visual semantic information.

Data Augmentation Self-Supervised Learning

SARS-Cov-2 RNA Sequence Classification Based on Territory Information

no code implementations9 Jan 2021 Jingwei Liu

For 3-class classification of China, the Top-1 accuracy rate can reach 82. 45\% (train 60\%, test=40\%); For 2-class classification of China, the Top-1 accuracy rate can reach 97. 35\% (train 80\%, test 20\%); For 6-class classification task of world, when the ratio of training set and test set is 20\% : 80\% , the Top-1 accuracy rate can achieve 30. 30\%.

Classification General Classification

The 1st Tiny Object Detection Challenge:Methods and Results

1 code implementation16 Sep 2020 Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jiang, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi

The 1st Tiny Object Detection (TOD) Challenge aims to encourage research in developing novel and accurate methods for tiny object detection in images which have wide views, with a current focus on tiny person detection.

Human Detection Object +2

Random Fragments Classification of Microbial Marker Clades with Multi-class SVM and N-Best Algorithm

no code implementations19 Apr 2019 Jingwei Liu

Marker family genome sequences play important roles in describing specific microbial clades within species, a framework of support vector machine (SVM) based microbial species classification with N-best algorithm is constructed to classify the centroid marker genome fragments randomly generated from marker genome sequences on MetaRef.

General Classification Time Series +1

Formula of Volume of Revolution with Integration by Parts and Extension

no code implementations4 Sep 2016 Yi Liu, Jingwei Liu

A calculation formula of volume of revolution with integration by parts of definite integral is derived based on monotone function, and extended to a general case that curved trapezoids is determined by continuous, piecewise strictly monotone and differential function.

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