Search Results for author: Ying Zhou

Found 24 papers, 8 papers with code

Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors

1 code implementation13 Jun 2024 Ying Zhou, Ben He, Le Sun

Furthermore, through adversarial learning experiments, we investigate the impact of perturbation data augmentation on the robustness of AI-text detectors.

Humanizing Machine-Generated Content: Evading AI-Text Detection through Adversarial Attack

1 code implementation2 Apr 2024 Ying Zhou, Ben He, Le Sun

While well-trained text detectors have demonstrated promising performance on unseen test data, recent research suggests that these detectors have vulnerabilities when dealing with adversarial attacks such as paraphrasing.

Adversarial Attack Text Detection

MonoBox: Tightness-free Box-supervised Polyp Segmentation using Monotonicity Constraint

no code implementations1 Apr 2024 Qiang Hu, Zhenyu Yi, Ying Zhou, Ting Li, Fan Huang, Mei Liu, Qiang Li, Zhiwei Wang

We propose MonoBox, an innovative box-supervised segmentation method constrained by monotonicity to liberate its training from the user-unfriendly box-tightness assumption.

Multiple Instance Learning Segmentation

Hidding the Ghostwriters: An Adversarial Evaluation of AI-Generated Student Essay Detection

1 code implementation1 Feb 2024 Xinlin Peng, Ying Zhou, Ben He, Le Sun, Yingfei Sun

This paper aims to bridge this gap by constructing AIG-ASAP, an AI-generated student essay dataset, employing a range of text perturbation methods that are expected to generate high-quality essays while evading detection.

Sentence Text Generation

Triple Disentangled Representation Learning for Multimodal Affective Analysis

no code implementations29 Jan 2024 Ying Zhou, Xuefeng Liang, Han Chen, Yin Zhao, Xin Chen, Lida Yu

We revisit the disentanglement issue, and propose a novel triple disentanglement approach, TriDiRA, which disentangles the modality-invariant, effective modality-specific and ineffective modality-specific representations from input data.

Disentanglement

Validating Privacy-Preserving Face Recognition under a Minimum Assumption

1 code implementation CVPR 2024 HUI ZHANG, Xingbo Dong, YenLung Lai, Ying Zhou, Xiaoyan Zhang, Xingguo Lv, Zhe Jin, Xuejun Li

The widespread use of cloud-based face recognition technology raises privacy concerns as unauthorized access to face images can expose personal information or be exploited for fraudulent purposes.

Face Recognition Privacy Preserving

Sensing-assisted Accurate and Fast Beam Management for Cellular-connected mmWave UAV Network

no code implementations12 Oct 2023 Yanpeng Cui, Qixun Zhang, Zhiyong Feng, Qin Wen, Ying Zhou, Zhiqing Wei, Ping Zhang

This paper presents a novel sensing-assisted beam management approach, the first solution that fully utilizes the information from the visual domain to improve communication performance.

Management

Learning Subjective Time-Series Data via Utopia Label Distribution Approximation

no code implementations15 Jul 2023 Wenxin Xu, Hexin Jiang, Xuefeng Liang, Ying Zhou, Yin Zhao, Jie Zhang

In this work, we propose Utopia Label Distribution Approximation (ULDA) for time-series data, which makes the training label distribution closer to real-world but unknown (utopia) label distribution.

Age Estimation Depth Estimation +4

Impact of resource distributions on the competition of species in stream environment

no code implementations8 Jun 2023 Tung D. Nguyen, Yixiang Wu, Tingting Tang, Amy Veprauskas, Ying Zhou, Behzad Djafari Rouhani, Zhisheng Shuai

Our earlier work in \cite{nguyen2022population} shows that concentrating the resources on the upstream end tends to maximize the total biomass in a metapopulation model for a stream species.

Cold-Start based Multi-Scenario Ranking Model for Click-Through Rate Prediction

no code implementations16 Apr 2023 Peilin Chen, Hong Wen, Jing Zhang, Fuyu Lv, Zhao Li, Qijie Shen, Wanjie Tao, Ying Zhou, Chao Zhang

Online travel platforms (OTPs), e. g., Ctrip. com or Fliggy. com, can effectively provide travel-related products or services to users.

Click-Through Rate Prediction

Gaussian-smoothed Imbalance Data Improves Speech Emotion Recognition

no code implementations17 Feb 2023 Xuefeng Liang, Hexin Jiang, Wenxin Xu, Ying Zhou

We find the data distribution in the IEMOCAP dataset is very imbalanced, which may harm models to learn a better representation.

Data Augmentation Speech Emotion Recognition

Bidirectional Semi-supervised Dual-branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel Supervisions

1 code implementation15 Oct 2022 Hongkuan Shi, Zhiwei Wang, Ying Zhou, Dun Li, Xin Yang, Qiang Li

The learned knowledge flows across branches along two directions: a cross direction (disparity guides distribution in ACS) and a parallel direction (disparity guides disparity in APS).

3D Reconstruction Disparity Estimation

Sequence-to-Set Generative Models

1 code implementation19 Sep 2022 Longtao Tang, Ying Zhou, Yu Yang

We present GRU2Set, which is an instance of our sequence-to-set method and employs the famous GRU model as the sequence generative model.

Tripartite: Tackle Noisy Labels by a More Precise Partition

no code implementations19 Feb 2022 Xuefeng Liang, Longshan Yao, Xingyu Liu, Ying Zhou

Instead, we propose a Tripartite solution to partition training data more precisely into three subsets: hard, noisy, and clean.

Self-Supervised Learning

Automatic Identification of the End-Diastolic and End-Systolic Cardiac Frames from Invasive Coronary Angiography Videos

no code implementations6 Oct 2021 Yinghui Meng, Minghao Dong, Xumin Dai, Haipeng Tang, Chen Zhao, Jingfeng Jiang, Shun Xu, Ying Zhou, Fubao Zhu1, Zhihui Xu, Weihua Zhou

More specifically, a detection algorithm is first used to detect the key points of coronary arteries, and then an optical flow method is employed to track the trajectories of the selected key points.

Anatomy Optical Flow Estimation

PP-LCNet: A Lightweight CPU Convolutional Neural Network

8 code implementations17 Sep 2021 Cheng Cui, Tingquan Gao, Shengyu Wei, Yuning Du, Ruoyu Guo, Shuilong Dong, Bin Lu, Ying Zhou, Xueying Lv, Qiwen Liu, Xiaoguang Hu, dianhai yu, Yanjun Ma

We propose a lightweight CPU network based on the MKLDNN acceleration strategy, named PP-LCNet, which improves the performance of lightweight models on multiple tasks.

Image Classification object-detection +2

The Promises of Parallel Outcomes

no code implementations10 Dec 2020 Ying Zhou, Dehan Kong, Linbo Wang

In contrast to existing proposals in the literature, the roles of multiple outcomes in our key identification assumption are symmetric, hence the name parallel outcomes.

Causal Inference Methodology

Multi-Classifier Interactive Learning for Ambiguous Speech Emotion Recognition

no code implementations10 Dec 2020 Ying Zhou, Xuefeng Liang, Yu Gu, Yifei Yin, Longshan Yao

In recent years, speech emotion recognition technology is of great significance in industrial applications such as call centers, social robots and health care.

Speech Emotion Recognition speech-recognition +1

Range-Doppler Information and Doppler Scattering Information in Multipulse Radar

no code implementations30 Oct 2020 Chao Shi, Dazhuan Xu, Ying Zhou, Weilin Tu

In this paper, the general radar measurement probfilems of determining range, Doppler frequency and scatteringproperties parameters are investigated from the viewpoint of Shannons information theory.

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