Search Results for author: Yuan Chen

Found 24 papers, 4 papers with code

UNIFUZZ: A Holistic and Pragmatic Metrics-Driven Platform for Evaluating Fuzzers

1 code implementation5 Oct 2020 Yuwei Li, Shouling Ji, Yuan Chen, Sizhuang Liang, Wei-Han Lee, Yueyao Chen, Chenyang Lyu, Chunming Wu, Raheem Beyah, Peng Cheng, Kangjie Lu, Ting Wang

We hope that our findings can shed light on reliable fuzzing evaluation, so that we can discover promising fuzzing primitives to effectively facilitate fuzzer designs in the future.

Cryptography and Security

Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition

1 code implementation18 Dec 2023 Xiao Wang, Yao Rong, Shiao Wang, Yuan Chen, Zhe Wu, Bo Jiang, Yonghong Tian, Jin Tang

It is intuitive to combine them for high-performance RGB-Event based video recognition, however, existing works fail to achieve a good balance between the accuracy and model parameters, as shown in Fig.~\ref{firstimage}.

Video Recognition

Integrated Server for Measurement-Device-Independent Quantum Key Distribution Network

no code implementations26 Aug 2018 Ci-Yu Wang, Jun Gao, Zhi-Qiang Jiao, Lu-Feng Qiao, Ruo-Jing Ren, Zhen Feng, Yuan Chen, Zeng-Quan Yan, Yao Wang, Hao Tang, Xian-Min Jin

Quantum key distribution (QKD), harnessing quantum physics and optoelectronics, may promise unconditionally secure information exchange in theory.

Quantum Physics

Global stability of some totally geodesic wave maps

no code implementations16 Jul 2019 Leonardo Enrique Abbrescia, Yuan Chen

We prove that wave maps that factor as $\mathbb{R}^{1+d} \overset{\varphi_{\text{S}}}{\to} \mathbb{R} \overset{\varphi_{\text{I}}}{\to} M$, subject to a sign condition, are globally nonlinear stable under small compactly supported perturbations when $M$ is a space-form.

Analysis of PDEs 35A23, 35B45, 35B35, 35L71

Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatments

no code implementations30 Oct 2020 Yuan Chen, Donglin Zeng, Tianchen Xu, Yuanjia Wang

This learning framework is based on the measurement theory in psychiatry for modeling multiple disease diagnostic measures as arising from the underlying causes (true mental states).

Representation Learning

Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatment

no code implementations NeurIPS 2020 Yuan Chen, Donglin Zeng, Tianchen Xu, Yuanjia Wang

This learning framework is based on the measurement theory in psychiatry for modeling multiple disease diagnostic measures as arising from the underlying causes (true mental states).

Representation Learning

Study on $Z_{cs}$ and excited $B_s^0$ states in the chiral quark model

no code implementations12 Mar 2021 Xiaoyun Chen, Yue Tan, Yuan Chen

For $b\bar{s}q\bar{q}$ system with $J=0$, some resonance states are also found.

High Energy Physics - Phenomenology

Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment

no code implementations ACL 2021 Xinying Qiu, Yuan Chen, Hanwu Chen, Jian-Yun Nie, Yuming Shen, Dawei Lu

Deep learning models for automatic readability assessment generally discard linguistic features traditionally used in machine learning models for the task.

Multi-frame Joint Enhancement for Early Interlaced Videos

no code implementations29 Sep 2021 Yang Zhao, Yanbo Ma, Yuan Chen, Wei Jia, Ronggang Wang, Xiaoping Liu

Early interlaced videos usually contain multiple and interlacing and complex compression artifacts, which significantly reduce the visual quality.

Video Deinterlacing Video Reconstruction

Post-Training Quantization Is All You Need to Perform Cross-Platform Learned Image Compression

no code implementations29 Sep 2021 Dailan He, Ziming Yang, Yan Wang, Yuan Chen, Qi Zhang, Hongwei Qin

It has been witnessed that learned image compression has outperformed conventional image coding techniques and tends to be practical in industrial applications.

Image Compression Quantization

Post-Training Quantization for Cross-Platform Learned Image Compression

no code implementations15 Feb 2022 Dailan He, Ziming Yang, Yuan Chen, Qi Zhang, Hongwei Qin, Yan Wang

It has been witnessed that learned image compression has outperformed conventional image coding techniques and tends to be practical in industrial applications.

Image Compression Quantization

Multi-channel end-to-end neural network for speech enhancement, source localization, and voice activity detection

no code implementations20 Jun 2022 Yuan Chen, Yicheng Hsu, Mingsian R. Bai

In this study, a neural beamformer consisting of a beamformer and a novel multi-channel DCCRN is proposed for speech enhancement and source localization.

Action Detection Activity Detection +1

Deep Reinforcement Learning for Localizability-Enhanced Navigation in Dynamic Human Environments

no code implementations22 Mar 2023 Yuan Chen, Quecheng Qiu, Xiangyu Liu, Guangda Chen, Shunyi Yao, Jie Peng, Jianmin Ji, Yanyong Zhang

The planner learns to assign different importance to the geometric features and encourages the robot to navigate through areas that are helpful for laser localization.

Navigate reinforcement-learning

Learning Stochastic Dynamical System via Flow Map Operator

no code implementations5 May 2023 Yuan Chen, Dongbin Xiu

Termed stochastic flow map learning (sFML), the new framework is an extension of flow map learning (FML) that was developed for learning deterministic dynamical systems.

Supervised Auto-Encoding Twin-Bottleneck Hashing

1 code implementation19 Jun 2023 Yuan Chen, Stéphane Marchand-Maillet

Other existing methods construct the similarity graph and consider all points simultaneously.

Deep Hashing

Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative Perception

no code implementations31 Aug 2023 Si Liu, Chen Gao, Yuan Chen, Xingyu Peng, Xianghao Kong, Kun Wang, Runsheng Xu, Wentao Jiang, Hao Xiang, Jiaqi Ma, Miao Wang

Specifically, we analyze the performance changes of different methods under different bandwidths, providing a deep insight into the performance-bandwidth trade-off issue.

Autonomous Driving

Cross-Dataset-Robust Method for Blind Real-World Image Quality Assessment

no code implementations26 Sep 2023 Yuan Chen, Zhiliang Ma, Yang Zhao

First, many individual models based on popular and state-of-the-art (SOTA) Swin-Transformer (SwinT) are trained on different real-world BIQA datasets respectively.

Blind Image Quality Assessment

Modeling Unknown Stochastic Dynamical System via Autoencoder

no code implementations15 Dec 2023 Zhongshu Xu, Yuan Chen, Qifan Chen, Dongbin Xiu

We present a numerical method to learn an accurate predictive model for an unknown stochastic dynamical system from its trajectory data.

Unlocking the Power of Multi-institutional Data: Integrating and Harmonizing Genomic Data Across Institutions

no code implementations30 Jan 2024 Yuan Chen, Ronglai Shen, Xiwen Feng, Katherine Panageas

The extracted latent features from the Bridge model consistently excel in predicting patient survival across six cancer types in GENIE BPC data.

Cannot find the paper you are looking for? You can Submit a new open access paper.