Search Results for author: Cheng Luo

Found 34 papers, 19 papers with code

Deep Prompt Multi-task Network for Abuse Language Detection

no code implementations8 Mar 2024 Jian Zhu, YuPing Ruan, Jingfei Chang, Cheng Luo

To address the problem, we propose a novel Deep Prompt Multi-task Network (DPMN) for abuse language detection.

Abusive Language General Knowledge +1

REACT 2024: the Second Multiple Appropriate Facial Reaction Generation Challenge

1 code implementation10 Jan 2024 Siyang Song, Micol Spitale, Cheng Luo, Cristina Palmero, German Barquero, Hengde Zhu, Sergio Escalera, Michel Valstar, Tobias Baur, Fabien Ringeval, Elisabeth Andre, Hatice Gunes

In dyadic interactions, humans communicate their intentions and state of mind using verbal and non-verbal cues, where multiple different facial reactions might be appropriate in response to a specific speaker behaviour.

IEKM: A Model Incorporating External Keyword Matrices

no code implementations21 Nov 2023 Cheng Luo, Qin Li, Zhao Yan, Mengliang Rao, Yunbo Cao

In this paper, we propose an incorporation external keywords matrices model (IEKM) to address these challenges.

Semantic Similarity Semantic Textual Similarity +2

Massive Wireless Energy Transfer without Channel State Information via Imperfect Intelligent Reflecting Surfaces

no code implementations15 Nov 2023 Cheng Luo, Jie Hu, Luping Xiang, Kun Yang, Kai-Kit Wong

Intelligent Reflecting Surface (IRS) utilizes low-cost, passive reflecting elements to enhance the passive beam gain, improve Wireless Energy Transfer (WET) efficiency, and enable its deployment for numerous Internet of Things (IoT) devices.

RTP: Rethinking Tensor Parallelism with Memory Deduplication

1 code implementation2 Nov 2023 Cheng Luo, Tianle Zhong, Geoffrey Fox

In the evolving landscape of neural network models, one prominent challenge stand out: the significant memory overheads associated with training expansive models.

CTP:A Causal Interpretable Model for Non-Communicable Disease Progression Prediction

1 code implementation18 Aug 2023 Zhoujian Sun, Wenzhuo Zhang, Zhengxing Huang, Nai Ding, Cheng Luo

The CTP model combines trajectory prediction and causal discovery to enable accurate prediction of disease progression trajectories and uncover causal relationships between features.

Causal Discovery Decision Making +1

MRecGen: Multimodal Appropriate Reaction Generator

no code implementations5 Jul 2023 Jiaqi Xu, Cheng Luo, Weicheng Xie, Linlin Shen, Xiaofeng Liu, Lu Liu, Hatice Gunes, Siyang Song

Verbal and non-verbal human reaction generation is a challenging task, as different reactions could be appropriate for responding to the same behaviour.

REACT2023: the first Multi-modal Multiple Appropriate Facial Reaction Generation Challenge

1 code implementation11 Jun 2023 Siyang Song, Micol Spitale, Cheng Luo, German Barquero, Cristina Palmero, Sergio Escalera, Michel Valstar, Tobias Baur, Fabien Ringeval, Elisabeth Andre, Hatice Gunes

The Multi-modal Multiple Appropriate Facial Reaction Generation Challenge (REACT2023) is the first competition event focused on evaluating multimedia processing and machine learning techniques for generating human-appropriate facial reactions in various dyadic interaction scenarios, with all participants competing strictly under the same conditions.

ReactFace: Multiple Appropriate Facial Reaction Generation in Dyadic Interactions

1 code implementation25 May 2023 Cheng Luo, Siyang Song, Weicheng Xie, Micol Spitale, Linlin Shen, Hatice Gunes

ReactFace generates multiple different but appropriate photo-realistic human facial reactions by (i) learning an appropriate facial reaction distribution representing multiple appropriate facial reactions; and (ii) synchronizing the generated facial reactions with the speaker's verbal and non-verbal behaviours at each time stamp, resulting in realistic 2D facial reaction sequences.

Semi-Supervised RF Fingerprinting with Consistency-Based Regularization

no code implementations28 Apr 2023 Weidong Wang, Cheng Luo, Jiancheng An, Lu Gan, Hongshu Liao, Chau Yuen

As a promising non-password authentication technology, radio frequency (RF) fingerprinting can greatly improve wireless security.

Data Augmentation

Temporal Dynamic Synchronous Functional Brain Network for Schizophrenia Diagnosis and Lateralization Analysis

1 code implementation31 Mar 2023 Cheng Zhu, Ying Tan, Shuqi Yang, Jiaqing Miao, JiaYi Zhu, Huan Huang, Dezhong Yao, Cheng Luo

The available evidence suggests that dynamic functional connectivity (dFC) can capture time-varying abnormalities in brain activity in resting-state cerebral functional magnetic resonance imaging (rs-fMRI) data and has a natural advantage in uncovering mechanisms of abnormal brain activity in schizophrenia(SZ) patients.

Spatio-Temporal AU Relational Graph Representation Learning For Facial Action Units Detection

1 code implementation19 Mar 2023 Zihan Wang, Siyang Song, Cheng Luo, Yuzhi Zhou, shiling Wu, Weicheng Xie, Linlin Shen

This paper presents our Facial Action Units (AUs) detection submission to the fifth Affective Behavior Analysis in-the-wild Competition (ABAW).

Graph Learning Graph Representation Learning

Shift from Texture-bias to Shape-bias: Edge Deformation-based Augmentation for Robust Object Recognition

no code implementations ICCV 2023 Xilin He, Qinliang Lin, Cheng Luo, Weicheng Xie, Siyang Song, Feng Liu, Linlin Shen

Recent studies have shown the vulnerability of CNNs under perturbation noises, which is partially caused by the reason that the well-trained CNNs are too biased toward the object texture, i. e., they make predictions mainly based on texture cues.

Object Recognition

GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge Features

1 code implementation19 Nov 2022 Siyang Song, Yuxin Song, Cheng Luo, Zhiyuan Song, Selim Kuzucu, Xi Jia, Zhijiang Guo, Weicheng Xie, Linlin Shen, Hatice Gunes

Our framework is effective, robust and flexible, and is a plug-and-play module that can be combined with different backbones and Graph Neural Networks (GNNs) to generate a task-specific graph representation from various graph and non-graph data.

Graph Representation Learning

A Benchmarking Dataset with 2440 Organic Molecules for Volume Distribution at Steady State

1 code implementation10 Nov 2022 Wenwen Liu, Cheng Luo, Hecheng Wang, Fanwang Meng

Conclusions: To the best of our knowledge, this is the largest dataset for VDss, which can be used as the benchmark for computational studies of VDss.

Benchmarking feature selection +1

SemFormer: Semantic Guided Activation Transformer for Weakly Supervised Semantic Segmentation

1 code implementation26 Oct 2022 Junliang Chen, Xiaodong Zhao, Cheng Luo, Linlin Shen

Recent mainstream weakly supervised semantic segmentation (WSSS) approaches are mainly based on Class Activation Map (CAM) generated by a CNN (Convolutional Neural Network) based image classifier.

Weakly supervised Semantic Segmentation Weakly-Supervised Semantic Segmentation

Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator

no code implementations12 Aug 2022 Xiangbo Gao, Cheng Luo, Qinliang Lin, Weicheng Xie, Minmin Liu, Linlin Shen, Keerthy Kusumam, Siyang Song

\noindent Traditional L_p norm-restricted image attack algorithms suffer from poor transferability to black box scenarios and poor robustness to defense algorithms.

Adversarial Attack Image Classification +4

GAN-Based Multi-View Video Coding with Spatio-Temporal EPI Reconstruction

no code implementations7 May 2022 Chengdong Lan, Hao Yan, Cheng Luo, Tiesong Zhao

At the decoder side, we combine the SI and adjacent viewpoints to reconstruct intermediate views using the GAN generator.

Generative Adversarial Network Image Generation

Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition

2 code implementations2 May 2022 Cheng Luo, Siyang Song, Weicheng Xie, Linlin Shen, Hatice Gunes

While the relationship between a pair of AUs can be complex and unique, existing approaches fail to specifically and explicitly represent such cues for each pair of AUs in each facial display.

Facial Action Unit Detection Relation

Modality-Balanced Embedding for Video Retrieval

no code implementations18 Apr 2022 Xun Wang, Bingqing Ke, Xuanping Li, Fangyu Liu, Mingyu Zhang, Xiao Liang, Qiushi Xiao, Cheng Luo, Yue Yu

This modality imbalanceresults from a) modality gap: the relevance between a query and a video text is much easier to learn as the query is also a piece of text, with the same modality as the video text; b) data bias: most training samples can be solved solely by text matching.

Retrieval Text Matching +1

Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity

1 code implementation CVPR 2022 Cheng Luo, Qinliang Lin, Weicheng Xie, Bizhu Wu, Jinheng Xie, Linlin Shen

Current adversarial attack research reveals the vulnerability of learning-based classifiers against carefully crafted perturbations.

Adversarial Attack Semantic Similarity +1

Online Refinement of Low-level Feature Based Activation Map for Weakly Supervised Object Localization

1 code implementation ICCV 2021 Jinheng Xie, Cheng Luo, Xiangping Zhu, Ziqi Jin, Weizeng Lu, Linlin Shen

In the first stage, an activation map generator produces activation maps based on the low-level feature maps in the classifier, such that rich contextual object information is included in an online manner.

Object Weakly-Supervised Object Localization

Prediction, Selection, and Generation: Exploration of Knowledge-Driven Conversation System

no code implementations23 Apr 2021 Cheng Luo, Dayiheng Liu, Chanjuan Li, Li Lu, Jiancheng Lv

The system includes modules such as dialogue topic prediction, knowledge matching and dialogue generation.

Dialogue Generation

CrossoverScheduler: Overlapping Multiple Distributed Training Applications in a Crossover Manner

no code implementations14 Mar 2021 Cheng Luo, Lei Qu, Youshan Miao, Peng Cheng, Yongqiang Xiong

Distributed deep learning workloads include throughput-intensive training tasks on the GPU clusters, where the Distributed Stochastic Gradient Descent (SGD) incurs significant communication delays after backward propagation, forces workers to wait for the gradient synchronization via a centralized parameter server or directly in decentralized workers.

Image Classification

Let's be Humorous: Knowledge Enhanced Humor Generation

no code implementations ACL 2020 Hang Zhang, Dayiheng Liu, Jiancheng Lv, Cheng Luo

To our knowledge, this is the first attempt to generate punchlines with knowledge enhanced model.

Sentence

Neural Document Expansion with User Feedback

1 code implementation8 Aug 2019 Yue Yin, Chenyan Xiong, Cheng Luo, Zhiyuan Liu

This paper presents a neural document expansion approach (NeuDEF) that enriches document representations for neural ranking models.

Temporal Relational Ranking for Stock Prediction

3 code implementations25 Sep 2018 Fuli Feng, Xiangnan He, Xiang Wang, Cheng Luo, Yiqun Liu, Tat-Seng Chua

Our RSR method advances existing solutions in two major aspects: 1) tailoring the deep learning models for stock ranking, and 2) capturing the stock relations in a time-sensitive manner.

Relation Network Stock Prediction +1

Unbiased Learning to Rank with Unbiased Propensity Estimation

1 code implementation16 Apr 2018 Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, W. Bruce Croft

We find that the problem of estimating a propensity model from click data is a dual problem of unbiased learning to rank.

Learning-To-Rank

The Dependent Random Measures with Independent Increments in Mixture Models

no code implementations27 Jun 2016 Cheng Luo, Richard Yi Da Xu, Yang Xiang

One of the propositions of the dependent random measures is that the atoms of the posterior distribution are shared amongst groups, and hence groups can borrow information from each other.

Smoothed Hierarchical Dirichlet Process: A Non-Parametric Approach to Constraint Measures

no code implementations16 Apr 2016 Cheng Luo, Yang Xiang, Richard Yi Da Xu

The key novelty of this model is that we place a temporal constraint amongst the nearby discrete measures $\{G_j\}$ in the form of symmetric Kullback-Leibler (KL) Divergence with a fixed bound $B$.

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