Search Results for author: Jingjing Wang

Found 43 papers, 11 papers with code

SQLFixAgent: Towards Semantic-Accurate SQL Generation via Multi-Agent Collaboration

no code implementations19 Jun 2024 Jipeng Cen, Jiaxin Liu, Zhixu Li, Jingjing Wang

Subsequently, leveraging similar repair retrieval and failure memory reflexion, the SQLRefiner agent selects the most fitting SQL statement from the candidates as the final repair.

SQL Parsing Text-To-SQL +1

Unified Directly Denoising for Both Variance Preserving and Variance Exploding Diffusion Models

no code implementations31 May 2024 Jingjing Wang, Dan Zhang, Feng Luo

Here, we propose a unified DDDM (uDDDM) framework that generates images in one-step/multiple steps for both Variance Preserving (VP) and Variance Exploding (VE) cases.


Directly Denoising Diffusion Models

1 code implementation22 May 2024 Dan Zhang, Jingjing Wang, Feng Luo

In this paper, we present the Directly Denoising Diffusion Model (DDDM): a simple and generic approach for generating realistic images with few-step sampling, while multistep sampling is still preserved for better performance.


ChatASU: Evoking LLM's Reflexion to Truly Understand Aspect Sentiment in Dialogues

no code implementations8 Mar 2024 Yiding Liu, Jingjing Wang, Jiamin Luo, Tao Zeng, Guodong Zhou

Specifically, this TSA treats the ACR task as an auxiliary task to boost the performance of the primary ASU task, and further integrates trusted learning into reflexion mechanisms to alleviate the LLMs-intrinsic factual hallucination problem in TSA.

Hallucination Question Answering

Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning

1 code implementation8 Mar 2024 Hang Du, Xuejun Yan, Jingjing Wang, Di Xie, ShiLiang Pu

Recently, arbitrary-scale point cloud upsampling mechanism became increasingly popular due to its efficiency and convenience for practical applications.

point cloud upsampling

CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model

no code implementations8 Mar 2024 Pengwei Yin, Guanzhong Zeng, Jingjing Wang, Di Xie

To overcome these limitations, we propose a novel framework called CLIP-Gaze that utilizes a pre-trained vision-language model to leverage its transferable knowledge.

Diversity Domain Generalization +2

Learning Expressive And Generalizable Motion Features For Face Forgery Detection

no code implementations8 Mar 2024 Jingyi Zhang, Peng Zhang, Jingjing Wang, Di Xie, ShiLiang Pu

However, current sequence-based face forgery detection methods use general video classification networks directly, which discard the special and discriminative motion information for face manipulation detection.

Anomaly Detection Classification +1

TopicDiff: A Topic-enriched Diffusion Approach for Multimodal Conversational Emotion Detection

no code implementations4 Mar 2024 Jiamin Luo, Jingjing Wang, Guodong Zhou

Multimodal Conversational Emotion (MCE) detection, generally spanning across the acoustic, vision and language modalities, has attracted increasing interest in the multimedia community.


How to Understand "Support"? An Implicit-enhanced Causal Inference Approach for Weakly-supervised Phrase Grounding

no code implementations29 Feb 2024 Jiamin Luo, Jianing Zhao, Jingjing Wang, Guodong Zhou

Weakly-supervised Phrase Grounding (WPG) is an emerging task of inferring the fine-grained phrase-region matching, while merely leveraging the coarse-grained sentence-image pairs for training.

Causal Inference counterfactual +3

Is GPT Powerful Enough to Analyze the Emotions of Memes?

no code implementations1 Nov 2023 Jingjing Wang, Joshua Luo, Grace Yang, Allen Hong, Feng Luo

Large Language Models (LLMs), representing a significant achievement in artificial intelligence (AI) research, have demonstrated their ability in a multitude of tasks.

Sentiment Analysis

Towards Scalable Wireless Federated Learning: Challenges and Solutions

no code implementations8 Oct 2023 Yong Zhou, Yuanming Shi, Haibo Zhou, Jingjing Wang, Liqun Fu, Yang Yang

The explosive growth of smart devices (e. g., mobile phones, vehicles, drones) with sensing, communication, and computation capabilities gives rise to an unprecedented amount of data.

Federated Learning Privacy Preserving

Single Domain Dynamic Generalization for Iris Presentation Attack Detection

no code implementations22 May 2023 Yachun Li, Jingjing Wang, Yuhui Chen, Di Xie, ShiLiang Pu

To tackle the above issues, we propose a Single Domain Dynamic Generalization (SDDG) framework, which simultaneously exploits domain-invariant and domain-specific features on a per-sample basis and learns to generalize to various unseen domains with numerous natural images.

Diversity Domain Generalization +1

Object Segmentation by Mining Cross-Modal Semantics

1 code implementation17 May 2023 Zongwei Wu, Jingjing Wang, Zhuyun Zhou, Zhaochong An, Qiuping Jiang, Cédric Demonceaux, Guolei Sun, Radu Timofte

In this paper, we propose a novel approach by mining the Cross-Modal Semantics to guide the fusion and decoding of multimodal features, with the aim of controlling the modal contribution based on relative entropy.

Decoder Object +3

Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation

1 code implementation CVPR 2023 Hang Du, Xuejun Yan, Jingjing Wang, Di Xie, ShiLiang Pu

Most existing approaches for point cloud normal estimation aim to locally fit a geometric surface and calculate the normal from the fitted surface.

FBNet: Feedback Network for Point Cloud Completion

1 code implementation8 Oct 2022 Xuejun Yan, Hongyu Yan, Jingjing Wang, Hang Du, Zhihong Wu, Di Xie, ShiLiang Pu, Li Lu

The rapid development of point cloud learning has driven point cloud completion into a new era.

Point Cloud Completion

Multi-Scale Wavelet Transformer for Face Forgery Detection

no code implementations8 Oct 2022 Jie Liu, Jingjing Wang, Peng Zhang, Chunmao Wang, Di Xie, ShiLiang Pu

To overcome these limitations, we propose a multi-scale wavelet transformer framework for face forgery detection.

Point Cloud Upsampling via Cascaded Refinement Network

1 code implementation8 Oct 2022 Hang Du, Xuejun Yan, Jingjing Wang, Di Xie, ShiLiang Pu

In this manner, the proposed cascaded refinement network can be easily optimized without extra learning strategies.

point cloud upsampling

Semi-supervised Ranking for Object Image Blur Assessment

1 code implementation13 Jul 2022 Qiang Li, Zhaoliang Yao, Jingjing Wang, Ye Tian, Pengju Yang, Di Xie, ShiLiang Pu

Based on this dataset, we propose a method to obtain the blur scores only with the pairwise rank labels as supervision.

Object Object Recognition +1

Few-shot One-class Domain Adaptation Based on Frequency for Iris Presentation Attack Detection

no code implementations1 Apr 2022 Yachun Li, Ying Lian, Jingjing Wang, Yuhui Chen, Chunmao Wang, ShiLiang Pu

We thus define a new domain adaptation setting called Few-shot One-class Domain Adaptation (FODA), where adaptation only relies on a limited number of target bonafide samples.

Domain Adaptation Iris Recognition

Learning Multiple Explainable and Generalizable Cues for Face Anti-spoofing

no code implementations21 Feb 2022 Ying Bian, Peng Zhang, Jingjing Wang, Chunmao Wang, ShiLiang Pu

However, many other generalizable cues are unexplored for face anti-spoofing, which limits their performance under cross-dataset testing.

Face Anti-Spoofing

Underwater Differential Game: Finite-Time Target Hunting Task with Communication Delay

no code implementations1 Feb 2022 Wei Wei, Jingjing Wang, Jun Du, Zhengru Fang, Chunxiao Jiang, Yong Ren

Simulations show that underwater disturbances have a large impact on the system considering communication delay.

Self-Supervised Regional and Temporal Auxiliary Tasks for Facial Action Unit Recognition

no code implementations30 Jul 2021 Jingwei Yan, Jingjing Wang, Qiang Li, Chunmao Wang, ShiLiang Pu

Based on these two self-supervised auxiliary tasks, local features, mutual relation and motion cues of AUs are better captured in the backbone network with the proposed regional and temporal based auxiliary task learning (RTATL) framework.

Facial Action Unit Detection Optical Flow Estimation +1

Self-Domain Adaptation for Face Anti-Spoofing

no code implementations24 Feb 2021 Jingjing Wang, Jingyi Zhang, Ying Bian, Youyi Cai, Chunmao Wang, ShiLiang Pu

In this paper, we propose a self-domain adaptation framework to leverage the unlabeled test domain data at inference.

Domain Generalization Face Anti-Spoofing +1

Multi-Level Adaptive Region of Interest and Graph Learning for Facial Action Unit Recognition

no code implementations24 Feb 2021 Jingwei Yan, Boyuan Jiang, Jingjing Wang, Qiang Li, Chunmao Wang, ShiLiang Pu

In order to incorporate the intra-level AU relation and inter-level AU regional relevance simultaneously, a multi-level AU relation graph is constructed and graph convolution is performed to further enhance AU regional features of each level.

Facial Action Unit Detection Graph Learning +1

Multimodal Topic-Enriched Auxiliary Learning for Depression Detection

no code implementations COLING 2020 Minghui An, Jingjing Wang, Shoushan Li, Guodong Zhou

To this end, we propose a new Multimodal Topic-enriched Auxiliary Learning (MTAL) approach, aiming at capturing the topic information inside different modalities (i. e., texts and images) for depression detection.

Auxiliary Learning Depression Detection

Efficient Sampling Algorithms for Approximate Temporal Motif Counting (Extended Version)

1 code implementation28 Jul 2020 Jingjing Wang, Yanhao Wang, Wenjun Jiang, Yuchen Li, Kian-Lee Tan

We first propose a generic edge sampling (ES) algorithm for estimating the number of instances of any temporal motif.

Aspect Sentiment Classification with Document-level Sentiment Preference Modeling

no code implementations ACL 2020 Xiao Chen, Changlong Sun, Jingjing Wang, Shoushan Li, Luo Si, Min Zhang, Guodong Zhou

This justifies the importance of the document-level sentiment preference information to ASC and the effectiveness of our approach capturing such information.

Classification General Classification +4

Multivariate Triangular Quantile Maps for Novelty Detection

1 code implementation NeurIPS 2019 Jingjing Wang, Sun Sun, Yao-Liang Yu

Novelty detection, a fundamental task in machine learning, has drawn a lot of recent attention due to its wide-ranging applications and the rise of neural approaches.

Density Estimation Novelty Detection

Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network

no code implementations ACL 2019 Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou

This paper extends the research to interactive reviews and proposes a new research task, namely Aspect Sentiment Classification towards Question-Answering (ASC-QA), for real-world applications.

General Classification Question Answering +2

Understanding the Mechanism of Deep Learning Framework for Lesion Detection in Pathological Images with Breast Cancer

no code implementations4 Mar 2019 Wei-Wen Hsu, Chung-Hao Chen, Chang Hoa, Yu-Ling Hou, Xiang Gao, Yun Shao, Xueli Zhang, Jingjing Wang, Tao He, Yanghong Tai

Most of the characteristics learned by the deep learning models have summarized the detection rules that can be recognized by the experienced pathologists, whereas there are still some features may not be intuitive to domain experts but discriminative in classification for machines.

General Classification Lesion Detection

Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks

no code implementations24 Jan 2019 Jingjing Wang, Chunxiao Jiang, Haijun Zhang, Yong Ren, Kwang-cheng Chen, Lajos Hanzo

Future wireless networks have a substantial potential in terms of supporting a broad range of complex compelling applications both in military and civilian fields, where the users are able to enjoy high-rate, low-latency, low-cost and reliable information services.

BIG-bench Machine Learning Decision Making

Cross-media User Profiling with Joint Textual and Social User Embedding

no code implementations COLING 2018 Jingjing Wang, Shoushan Li, Mingqi Jiang, Hanqian Wu, Guodong Zhou

In realistic scenarios, a user profiling model (e. g., gender classification or age regression) learned from one social media might perform rather poorly when tested on another social media due to the different data distributions in the two media.

Classification Gender Classification +2

Correlation Tracking via Robust Region Proposals

no code implementations14 Jun 2018 Yuqi Han, Jinghong Nan, Zengshuo Zhang, Jingjing Wang, Baojun Zhao

Recently, correlation filter-based trackers have received extensive attention due to their simplicity and superior speed.

Region Proposal Visual Tracking

Constructing a Non-Negative Low Rank and Sparse Graph with Data-Adaptive Features

no code implementations3 Sep 2014 Liansheng Zhuang, Shenghua Gao, Jinhui Tang, Jingjing Wang, Zhouchen Lin, Yi Ma

This paper aims at constructing a good graph for discovering intrinsic data structures in a semi-supervised learning setting.

graph construction

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