b'Hui Liu'

research

∙ 08/22/2023

Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models

Multimodal data, which can comprehensively perceive and recognize the ph...

0 Zengxiang Li, et al. ∙

research

∙ 07/18/2023

Improving Text Semantic Similarity Modeling through a 3D Siamese Network

Siamese networks have gained popularity as a method for modeling text se...

0 Jianxiang Zang, et al. ∙

research

∙ 07/14/2023

TVPR: Text-to-Video Person Retrieval and a New Benchmark

Most existing methods for text-based person retrieval focus on text-to-i...

0 Fan Ni, et al. ∙

research

∙ 07/07/2023

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

Learning on Graphs has attracted immense attention due to its wide real-...

0 Zhikai Chen, et al. ∙

research

∙ 06/11/2023

Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective

Molecule discovery plays a crucial role in various scientific fields, ad...

6 Jiatong Li, et al. ∙

research

∙ 05/25/2023

DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models

Recently, Generative Diffusion Models (GDMs) have showcased their remark...

0 Yingqian Cui, et al. ∙

research

∙ 05/24/2023

Sharpness-Aware Data Poisoning Attack

Recent research has highlighted the vulnerability of Deep Neural Network...

0 Pengfei He, et al. ∙

research

∙ 05/10/2023

Interpretable Multimodal Misinformation Detection with Logic Reasoning

Multimodal misinformation on online social platforms is becoming a criti...

0 Hui Liu, et al. ∙

research

∙ 04/25/2023

TCR: Short Video Title Generation and Cover Selection with Attention Refinement

With the widespread popularity of user-generated short videos, it become...

0 Yakun Yu, et al. ∙

research

∙ 04/03/2023

Counterfactual Learning on Graphs: A Survey

Graph-structured data are pervasive in the real-world such as social net...

0 Zhimeng Guo, et al. ∙

research

∙ 03/26/2023

GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation

Despite the recent emergence of video captioning models, how to generate...

0 Ji Qi, et al. ∙

research

∙ 03/06/2023

Models See Hallucinations: Evaluating the Factuality in Video Captioning

Video captioning aims to describe events in a video with natural languag...

0 Hui Liu, et al. ∙

research

∙ 03/01/2023

Single-Cell Multimodal Prediction via Transformers

The recent development of multimodal single-cell technology has made the...

13 Wenzhuo Tang, et al. ∙

research

∙ 02/06/2023

Generative Diffusion Models on Graphs: Methods and Applications

Diffusion models, as a novel generative paradigm, have achieved remarkab...

3 Wenqi Fan, et al. ∙

research

∙ 01/15/2023

Deep Diversity-Enhanced Feature Representation of Hyperspectral Images

In this paper, we study the problem of embedding the high-dimensional sp...

0 Jinhui Hou, et al. ∙

research

∙ 12/11/2022

Technical Debt Management in OSS Projects: An Empirical Study on GitHub

Technical debt (TD) refers to delayed tasks and immature artifacts that ...

0 Zengyang Li, et al. ∙

research

∙ 11/19/2022

Graph Augmentation Clustering Network

Existing graph clustering networks heavily rely on a predefined graph an...

0 Zhihao Peng, et al. ∙

research

∙ 11/17/2022

Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery

Intelligent fault diagnosis is essential to safe operation of machinery....

0 Sheng Guo, et al. ∙

research

∙ 11/07/2022

Contrastive Learning enhanced Author-Style Headline Generation

Headline generation is a task of generating an appropriate headline for ...

0 Hui Liu, et al. ∙

research

∙ 10/07/2022

Kernel entropy estimation for long memory linear processes with infinite variance

Let X={X_n: n∈ℕ} be a long memory linear process with innovations in the...

0 Hui Liu, et al. ∙

research

∙ 10/07/2022

Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement

Sarcasm is a linguistic phenomenon indicating a discrepancy between lite...

0 Hui Liu, et al. ∙

research

∙ 09/12/2022

Learning A Unified 3D Point Cloud for View Synthesis

3D point cloud representation-based view synthesis methods have demonstr...

4 Meng You, et al. ∙

research

∙ 08/05/2022

Task-Balanced Distillation for Object Detection

Mainstream object detectors are commonly constituted of two sub-tasks, i...

3 Ruining Tang, et al. ∙

research

∙ 07/09/2022

Rank-Enhanced Low-Dimensional Convolution Set for Hyperspectral Image Denoising

This paper tackles the challenging problem of hyperspectral (HS) image d...

17 Jinhui Hou, et al. ∙

research

∙ 04/21/2022

Non-autoregressive Model for Full-line Code Completion

Code completion tools are frequently used by software developers to acce...

0 Fang Liu, et al. ∙

research

∙ 04/18/2022

A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability

Graph Neural Networks (GNNs) have made rapid developments in the recent ...

12 Enyan Dai, et al. ∙

research

∙ 02/07/2022

What Makes a Good Commit Message?

A key issue in collaborative software development is communication among...

0 Yingchen Tian, et al. ∙

research

∙ 01/31/2022

G^2VD Planner: An Efficient Motion Planning Approach With Grid-based Generalized Voronoi Diagrams

In this letter, an efficient motion planning approach with grid-based ge...

0 Jian Wen, et al. ∙

research

∙ 01/22/2022

Content-aware Warping for View Synthesis

Existing image-based rendering methods usually adopt depth-based image w...

6 Mantang Guo, et al. ∙

research

∙ 01/04/2022

Towards Understanding and Harnessing the Effect of Image Transformation in Adversarial Detection

Deep neural networks (DNNs) are threatened by adversarial examples. Adve...

8 Hui Liu, et al. ∙

research

∙ 01/01/2022

Interpretable Low-Resource Legal Decision Making

Over the past several years, legal applications of deep learning have be...

5 Rohan Bhambhoria, et al. ∙

research

∙ 01/01/2022

Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels

Graph Neural Networks (GNNs) have shown their great ability in modeling ...

89 Enyan Dai, et al. ∙

research

∙ 11/10/2021

Deep Attention-guided Graph Clustering with Dual Self-supervision

Existing deep embedding clustering works only consider the deepest layer...

1 Zhihao Peng, et al. ∙

research

∙ 09/28/2021

Adaptive Attribute and Structure Subspace Clustering Network

Deep self-expressiveness-based subspace clustering methods have demonstr...

2 Zhihao Peng, et al. ∙

research

∙ 09/07/2021

Unsupervised Conversation Disentanglement through Co-Training

Conversation disentanglement aims to separate intermingled messages into...

2 Hui Liu, et al. ∙

research

∙ 08/17/2021

Learning Dynamic Interpolation for Extremely Sparse Light Fields with Wide Baselines

In this paper, we tackle the problem of dense light field (LF) reconstru...

15 Mantang Guo, et al. ∙

research

∙ 08/15/2021

Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild

This paper investigates the problem of reconstructing hyperspectral (HS)...

9 Zhiyu Zhu, et al. ∙

research

∙ 08/14/2021

Graph2MDA: a multi-modal variational graph embedding model for predicting microbe-drug associations

Accumulated clinical studies show that microbes living in humans interac...

7 Lei Deng, et al. ∙

research

∙ 08/12/2021

Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images

This paper investigates the problem of recovering hyperspectral (HS) ima...

4 Zhiyu Zhu, et al. ∙

research

∙ 08/12/2021

Attention-driven Graph Clustering Network

The combination of the traditional convolutional network (i.e., an auto-...

5 Zhihao Peng, et al. ∙

research

∙ 07/20/2021

A Hybrid Approach to Fine-grained Automated Fault Localization

Fault localization is to identify faulty source code. It could be done o...

0 Leping Li, et al. ∙

research

∙ 07/19/2021

Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features

Deep neural networks (DNNs) are under threat from adversarial example at...

14 Hui Liu, et al. ∙

research

∙ 06/12/2021

AutoLoss: Automated Loss Function Search in Recommendations

Designing an effective loss function plays a crucial role in training de...

11 Xiangyu Zhao, et al. ∙

research

∙ 05/19/2021

Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots

Persona can function as the prior knowledge for maintaining the consiste...

5 Jia-Chen Gu, et al. ∙

research

∙ 05/11/2021

Rethinking of Radar's Role: A Camera-Radar Dataset and Systematic Annotator via Coordinate Alignment

Radar has long been a common sensor on autonomous vehicles for obstacle ...

6 Yizhou Wang, et al. ∙

research

∙ 05/01/2021

Hidden Backdoors in Human-Centric Language Models

Natural language processing (NLP) systems have been proven to be vulnera...

13 Shaofeng Li, et al. ∙

research

∙ 04/04/2021

Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning

Exploiting label hierarchies has become a promising approach to tackling...

10 Hui Liu, et al. ∙

research

∙ 03/02/2021

Self-supervised Symmetric Nonnegative Matrix Factorization

Symmetric nonnegative matrix factorization (SNMF) has demonstrated to be...

16 Yuheng Jia, et al. ∙

research

∙ 02/27/2021

Extracting Concise Bug-Fixing Patches from Human-Written Patches in Version Control Systems

High-quality and large-scale repositories of real bugs and their concise...

0 Yanjie Jiang, et al. ∙

research

∙ 02/14/2021

Light Field Reconstruction via Attention-Guided Deep Fusion of Hybrid Lenses

This paper explores the problem of reconstructing high-resolution light ...

3 Jing Jin, et al. ∙

Hui Liu

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