Search Results for author: Yunlong Wang

Found 51 papers, 18 papers with code

Using Large Language Models to Assist Video Content Analysis: An Exploratory Study of Short Videos on Depression

no code implementations27 Jun 2024 Jiaying Liu, Yunlong Wang, Yao Lyu, Yiheng Su, Shuo Niu, Xuhai Orson Xu, Yan Zhang

Despite the growing interest in leveraging Large Language Models (LLMs) for content analysis, current studies have primarily focused on text-based content.

Prompt Engineering

Artificial Immune System of Secure Face Recognition Against Adversarial Attacks

1 code implementation26 Jun 2024 Min Ren, Yunlong Wang, Yuhao Zhu, Yongzhen Huang, Zhenan Sun, Qi Li, Tieniu Tan

Insect production for food and feed presents a promising supplement to ensure food safety and address the adverse impacts of agriculture on climate and environment in the future.

Diversity Face Recognition

EFFOcc: A Minimal Baseline for EFficient Fusion-based 3D Occupancy Network

1 code implementation11 Jun 2024 Yining Shi, Kun Jiang, Ke Wang, Kangan Qian, Yunlong Wang, Jiusi Li, Tuopu Wen, Mengmeng Yang, Yiliang Xu, Diange Yang

On Occ3D-nuScenes benchmark, EFFOcc has only 18. 4M parameters, and achieves 50. 46 in terms of mean IoU (mIoU), to our knowledge, it is the occnet with minimal parameters compared with related occnets.

3D Object Detection Active Learning +2

CLIP model is an Efficient Online Lifelong Learner

1 code implementation24 May 2024 Leyuan Wang, Liuyu Xiang, Yujie Wei, Yunlong Wang, Zhaofeng He

Online Lifelong Learning (OLL) addresses the challenge of learning from continuous and non-stationary data streams.

Image Classification Zero-Shot Learning

Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training

1 code implementation CVPR 2024 Di Ming, Peng Ren, Yunlong Wang, Xin Feng

To ensure that the perturbations are generated towards classification-relevant regions we propose an exact group sparsity training method to learn pixel-level and group-level sparsity.

Adversarial Attack Image Classification +4

Towards Trustworthy Explanation: On Causal Rationalization

1 code implementation25 Jun 2023 Wenbo Zhang, Tong Wu, Yunlong Wang, Yong Cai, Hengrui Cai

With recent advances in natural language processing, rationalization becomes an essential self-explaining diagram to disentangle the black box by selecting a subset of input texts to account for the major variation in prediction.

Causal Inference

Learning Explicit Contact for Implicit Reconstruction of Hand-held Objects from Monocular Images

no code implementations31 May 2023 Junxing Hu, Hongwen Zhang, Zerui Chen, Mengcheng Li, Yunlong Wang, Yebin Liu, Zhenan Sun

In the second part, we introduce a novel method to diffuse estimated contact states from the hand mesh surface to nearby 3D space and leverage diffused contact probabilities to construct the implicit neural representation for the manipulated object.

Object

Poses as Queries: Image-to-LiDAR Map Localization with Transformers

no code implementations7 May 2023 Jinyu Miao, Kun Jiang, Yunlong Wang, Tuopu Wen, Zhongyang Xiao, Zheng Fu, Mengmeng Yang, Maolin Liu, Diange Yang

High-precision vehicle localization with commercial setups is a crucial technique for high-level autonomous driving tasks.

Autonomous Driving

CASIA-Iris-Africa: A Large-scale African Iris Image Database

no code implementations25 Feb 2023 Jawad Muhammad, Yunlong Wang, Junxing Hu, Kunbo Zhang, Zhenan Sun

The database contains 28, 717 images of 1023 African subjects (2046 iris classes) with age, gender, and ethnicity attributes that can be useful in demographically sensitive studies of Africans.

Iris Recognition

RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions

no code implementations19 Feb 2023 Yunlong Wang, Shuyuan Shen, Brian Y. Lim

With model explanations of the proxy model, we curated a rubric to adjust text prompts to optimize image generation for precise emotion expression.

Image Generation

TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization

1 code implementation ICCV 2023 Yiran Liu, Xin Feng, Yunlong Wang, Wu Yang, Di Ming

Aiming at crafting a single universal adversarial perturbation (UAP) to fool CNN models for various data samples, universal attack enables a more efficient and accurate evaluation for the robustness of CNN models.

Perturbation Inactivation Based Adversarial Defense for Face Recognition

1 code implementation13 Jul 2022 Min Ren, Yuhao Zhu, Yunlong Wang, Zhenan Sun

A straightforward approach is to inactivate the adversarial perturbations so that they can be easily handled as general perturbations.

Adversarial Attack Adversarial Defense +1

FD-GATDR: A Federated-Decentralized-Learning Graph Attention Network for Doctor Recommendation Using EHR

no code implementations11 Jul 2022 Luning Bi, Yunlong Wang, Fan Zhang, Zhuqing Liu, Yong Cai, Emily Zhao

In the past decade, with the development of big data technology, an increasing amount of patient information has been stored as electronic health records (EHRs).

Graph Attention Recommendation Systems

SRCN3D: Sparse R-CNN 3D for Compact Convolutional Multi-View 3D Object Detection and Tracking

2 code implementations29 Jun 2022 Yining Shi, Jingyan Shen, Yifan Sun, Yunlong Wang, Jiaxin Li, Shiqi Sun, Kun Jiang, Diange Yang

Our novel sparse feature sampling module only utilizes local 2D region of interest (RoI) features calculated by the projection of 3D query boxes for further box refinement, leading to a fully-convolutional and deployment-friendly pipeline.

3D Multi-Object Tracking 3D Object Detection +4

Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring

no code implementations14 Jun 2022 Zhengquan Luo, Yunlong Wang, Zilei Wang, Zhenan Sun, Tieniu Tan

Attributes skew hinders the current federated learning (FL) frameworks from consistent optimization directions among the clients, which inevitably leads to performance reduction and unstable convergence.

Diversity Federated Learning +1

Multi-Domain Joint Training for Person Re-Identification

no code implementations6 Jan 2022 Lu Yang, Lingqiao Liu, Yunlong Wang, Peng Wang, Yanning Zhang

Our discovery is that training with such an adaptive model can better benefit from more training samples.

Person Re-Identification

BE-STI: Spatial-Temporal Integrated Network for Class-Agnostic Motion Prediction With Bidirectional Enhancement

no code implementations CVPR 2022 Yunlong Wang, Hongyu Pan, Jun Zhu, Yu-Huan Wu, Xin Zhan, Kun Jiang, Diange Yang

In this paper, we propose a novel Spatial-Temporal Integrated network with Bidirectional Enhancement, BE-STI, to improve the temporal motion prediction performance by spatial semantic features, which points out an efficient way to combine semantic segmentation and motion prediction.

Autonomous Driving motion prediction +1

Toward Accurate and Reliable Iris Segmentation Using Uncertainty Learning

no code implementations20 Oct 2021 Jianze Wei, Huaibo Huang, Muyi Sun, Yunlong Wang, Min Ren, Ran He, Zhenan Sun

To make further efforts on accurate and reliable iris segmentation, we propose a bilateral self-attention module and design Bilateral Transformer (BiTrans) with hierarchical architecture by exploring spatial and visual relationships.

Iris Recognition Iris Segmentation +1

SalienTrack: providing salient information for semi-automated self-tracking feedback with model explanations

no code implementations21 Sep 2021 Yunlong Wang, Jiaying Liu, Homin Park, Jordan Schultz-McArdle, Stephanie Rosenthal, Judy Kay, Brian Y. Lim

Finally, we created interfaces to present salient information and conducted a formative user study to gain insights about how SalienTrack could be integrated into an interface for reflection.

Nutrition

Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation

no code implementations21 Sep 2021 Yunlong Wang, Priyadarshini Venkatesh, Brian Y. Lim

We propose Interpretable Directed Diversity to automatically predict ideation quality and diversity scores, and provide AI explanations - Attribution, Contrastive Attribution, and Counterfactual Suggestions - to feedback on why ideations were scored (low), and how to get higher scores.

counterfactual Diversity

An End-to-End Autofocus Camera for Iris on the Move

1 code implementation29 Jun 2021 Leyuan Wang, Kunbo Zhang, Yunlong Wang, Zhenan Sun

To accommodate users at different distances, it is necessary to control focus quickly and accurately.

Iris Recognition

CASIA-Face-Africa: A Large-scale African Face Image Database

no code implementations8 May 2021 Jawad Muhammad, Yunlong Wang, Caiyong Wang, Kunbo Zhang, Zhenan Sun

The proposed database along with its face landmark annotations, evaluation protocols and preliminary results form a good benchmark to study the essential aspects of face biometrics for African subjects, especially face image preprocessing, face feature analysis and matching, facial expression recognition, sex/age estimation, ethnic classification, face image generation, etc.

Age Estimation Face Recognition +3

Center Prediction Loss for Re-identification

no code implementations30 Apr 2021 Lu Yang, Yunlong Wang, Lingqiao Liu, Peng Wang, Lu Chi, Zehuan Yuan, Changhu Wang, Yanning Zhang

In this paper, we propose a new loss based on center predictivity, that is, a sample must be positioned in a location of the feature space such that from it we can roughly predict the location of the center of same-class samples.

Instance and Pair-Aware Dynamic Networks for Re-Identification

no code implementations9 Mar 2021 Bingliang Jiao, Xin Tan, Jinghao Zhou, Lu Yang, Yunlong Wang, Peng Wang

The proposed model is composed of three main branches where a self-guided dynamic branch is constructed to strengthen instance-specific features, focusing on every single image.

Retrieving High-Dimensional Quantum Steering From a Noisy Environment with N Measurement Settings

no code implementations12 Jan 2021 Rui Qu, Yunlong Wang, Min An, Feiran Wang, Hongrong Li, Hong Gao, Fuli Li, Pei Zhang

One of the most often implied benefits of high-dimensional (HD) quantum systems is to lead to stronger forms of correlations, featuring increased robustness to noise.

Quantum Physics

All-in-Focus Iris Camera With a Great Capture Volume

no code implementations19 Nov 2020 Kunbo Zhang, Zhenteng Shen, Yunlong Wang, Zhenan Sun

In this study, we develop a novel all-in-focus iris imaging system using a focus-tunable lens and a 2D steering mirror to greatly extend capture volume by spatiotemporal multiplexing method.

Iris Recognition

Recognition Oriented Iris Image Quality Assessment in the Feature Space

1 code implementation1 Sep 2020 Leyuan Wang, Kunbo Zhang, Min Ren, Yunlong Wang, Zhenan Sun

The quality metric proposed in this paper can significantly improve the performance of the recognition algorithm while reducing the number of images discarded for recognition, which is advantageous over hand-crafted factors based iris quality assessment methods.

Image Quality Assessment

SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection

1 code implementation11 Mar 2020 Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Changlin Wan, Wen Wang, Jianing Yang, Haoping Bai, Zheng Li, Cao Xiao, Yunlong Wang, Zhi Qiao, Jimeng Sun, Leman Akoglu

Outlier detection (OD) is a key machine learning (ML) task for identifying abnormal objects from general samples with numerous high-stake applications including fraud detection and intrusion detection.

Dimensionality Reduction Fraud Detection +2

Learn Electronic Health Records by Fully Decentralized Federated Learning

no code implementations4 Dec 2019 Songtao Lu, Yawen Zhang, Yunlong Wang, Christina Mack

Federated learning opens a number of research opportunities due to its high communication efficiency in distributed training problems within a star network.

Federated Learning

Dynamic Graph Representation for Partially Occluded Biometrics

2 code implementations1 Dec 2019 Min Ren, Yunlong Wang, Zhenan Sun, Tieniu Tan

During dynamic graph matching, we propose a novel strategy to measure the distances of both nodes and adjacent matrixes.

Graph Matching

NaMemo: Enhancing Lecturers' Interpersonal Competence of Remembering Students' Names

no code implementations21 Nov 2019 Guang Jiang, Mengzhen Shi, Ying Su, Pengcheng An, Brian Y. Lim, Yunlong Wang

Addressing students by their names helps a teacher to start building rapport with students and thus facilitates their classroom participation.

Face Recognition

No-regret Non-convex Online Meta-Learning

no code implementations22 Oct 2019 Zhenxun Zhuang, Yunlong Wang, Kezi Yu, Songtao Lu

The online meta-learning framework is designed for the continual lifelong learning setting.

Meta-Learning

Representation Learning of EHR Data via Graph-Based Medical Entity Embedding

no code implementations7 Oct 2019 Tong Wu, Yunlong Wang, Yue Wang, Emily Zhao, Yilian Yuan, Zhi Yang

Automatic representation learning of key entities in electronic health record (EHR) data is a critical step for healthcare informatics that turns heterogeneous medical records into structured and actionable information.

Graph Embedding Representation Learning

Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning

no code implementations26 Sep 2019 Yue Wang, Tong Wu, Yunlong Wang, Gao Wang

Models have been proposed to extract temporal patterns from longitudinal electronic health records (EHR) for clinical predictive models.

regression

Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks

no code implementations1 Jul 2019 Kezi Yu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun

Rare diseases affecting 350 million individuals are commonly associated with delay in diagnosis or misdiagnosis.

Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model

no code implementations1 Jul 2019 Fan Zhang, Tong Wu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun

Many computational models were proposed to extract temporal patterns from clinical time series for each patient and among patient group for predictive healthcare.

Time Series Time Series Analysis

CoachAI: A Conversational Agent Assisted Health Coaching Platform

no code implementations26 Apr 2019 Ahmed Fadhil, Gianluca Schiavo, Yunlong Wang

This research provides three main contributions to the preventive healthcare and healthy lifestyle promotion: (1) it presents the conversational agent to aid the caregiver; (2) it aims to decrease caregiver's workload and enhance care given to users, by handling (automating) repetitive caregiver tasks; and (3) it presents a domain independent mobile health conversational agent for health intervention delivery.

Chatbot Management

Semi-supervised Rare Disease Detection Using Generative Adversarial Network

no code implementations3 Dec 2018 Wenyuan Li, Yunlong Wang, Yong Cai, Corey Arnold, Emily Zhao, Yilian Yuan

Rare diseases affect a relatively small number of people, which limits investment in research for treatments and cures.

Generative Adversarial Network

End-to-end View Synthesis for Light Field Imaging with Pseudo 4DCNN

no code implementations ECCV 2018 Yunlong Wang, Fei Liu, Zilei Wang, Guangqi Hou, Zhenan Sun, Tieniu Tan

Limited angular resolution has become the main bottleneck of microlens-based plenoptic cameras towards practical vision applications.

Computational Efficiency Depth Estimation

Clustering with Temporal Constraints on Spatio-Temporal Data of Human Mobility

no code implementations2 Jul 2018 Yunlong Wang, Bjoern Sommer, Falk Schreiber, Harald Reiterer

Considering temporal constraints in human mobility, we introduce an effective clustering approach - namely POI clustering with temporal constraints (PC-TC) - to extract POIs from spatio-temporal data of human mobility.

Clustering

Rare Disease Physician Targeting: A Factor Graph Approach

no code implementations19 Jan 2017 Yong Cai, Yunlong Wang, Dong Dai

For a specified rare disease, only a small number of patients are affected and a fractional of physicians are involved.

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