b'Jia Li'

research

∙ 09/12/2023

Dual-Path Temporal Map Optimization for Make-up Temporal Video Grounding

Make-up temporal video grounding (MTVG) aims to localize the target vide...

0 Jiaxiu Li, et al. ∙

research

∙ 09/06/2023

Improving Code Generation by Dynamic Temperature Sampling

Recently, Large Language Models (LLMs) have shown impressive results in ...

0 Yuqi Zhu, et al. ∙

research

∙ 09/03/2023

A method based on hierarchical spatiotemporal features for trojan traffic detection

Trojans are one of the most threatening network attacks currently. HTTP-...

0 Jiang Xie, et al. ∙

research

∙ 08/30/2023

Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations

We introduce Affective Visual Dialog, an emotion explanation and reasoni...

0 Kilichbek Haydarov, et al. ∙

research

∙ 08/26/2023

EditSum: A Retrieve-and-Edit Framework for Source Code Summarization

Existing studies show that code summaries help developers understand and...

0 Jia Li, et al. ∙

research

∙ 08/26/2023

ZC3: Zero-Shot Cross-Language Code Clone Detection

Developers introduce code clones to improve programming productivity. Ma...

0 Jia Li, et al. ∙

research

∙ 08/25/2023

Exploiting Diverse Feature for Multimodal Sentiment Analysis

In this paper, we present our solution to the MuSe-Personalisation sub-c...

0 Jia Li, et al. ∙

research

∙ 08/24/2023

A Co-training Approach for Noisy Time Series Learning

In this work, we focus on robust time series representation learning. Ou...

0 Weiqi Zhang, et al. ∙

research

∙ 08/20/2023

Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures

Crohn's disease (CD) is a chronic and relapsing inflammatory condition t...

0 Shunxing Bao, et al. ∙

research

∙ 07/31/2023

Towards Unbalanced Motion: Part-Decoupling Network for Video Portrait Segmentation

Video portrait segmentation (VPS), aiming at segmenting prominent foregr...

0 Tianshu Yu, et al. ∙

research

∙ 07/22/2023

Spectral Normalized-Cut Graph Partitioning with Fairness Constraints

Normalized-cut graph partitioning aims to divide the set of nodes in a g...

0 Jia Li, et al. ∙

research

∙ 07/15/2023

Semantic Contrastive Bootstrapping for Single-positive Multi-label Recognition

Learning multi-label image recognition with incomplete annotation is gai...

0 Cheng Chen, et al. ∙

research

∙ 07/04/2023

All in One: Multi-task Prompting for Graph Neural Networks

Recently, ”pre-training and fine-tuning” has been adopted as a standard ...

0 Xiangguo Sun, et al. ∙

research

∙ 06/28/2023

Human Sensing via Passive Spectrum Monitoring

Human sensing is significantly improving our lifestyle in many fields su...

0 Huaizheng Mu, et al. ∙

research

∙ 06/21/2023

GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection

With a long history of traditional Graph Anomaly Detection (GAD) algorit...

0 Jianheng Tang, et al. ∙

research

∙ 06/02/2023

GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction

Graph Anomaly Detection (GAD) is a technique used to identify abnormal n...

1 Amit Roy, et al. ∙

research

∙ 06/01/2023

Using Genetic Programming to Build Self-Adaptivity into Software-Defined Networks

Self-adaptation solutions need to periodically monitor, reason about, an...

0 Jia Li, et al. ∙

research

∙ 05/24/2023

EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Models

Events serve as fundamental units of occurrence within various contexts....

0 Zhengwei Tao, et al. ∙

research

∙ 05/19/2023

Smart Pressure e-Mat for Human Sleeping Posture and Dynamic Activity Recognition

With the emphasis on healthcare, early childhood education, and fitness,...

0 Liangqi Yuan, et al. ∙

research

∙ 05/11/2023

Enabling Programming Thinking in Large Language Models Toward Code Generation

Large Language Models (LLMs) (e.g., ChatGPT) have shown impressive perfo...

0 Jia Li, et al. ∙

research

∙ 05/11/2023

A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment

Entity alignment is the task of identifying corresponding entities acros...

0 Jianheng Tang, et al. ∙

research

∙ 05/09/2023

StarCoder: may the source be with you!

The BigCode community, an open-scientific collaboration working on the r...

12 Raymond Li, et al. ∙

research

∙ 05/06/2023

Self-Edit: Fault-Aware Code Editor for Code Generation

Large language models (LLMs) have demonstrated an impressive ability to ...

0 Kechi Zhang, et al. ∙

research

∙ 05/06/2023

ToolCoder: Teach Code Generation Models to use API search tools

Automatically generating source code from natural language descriptions ...

0 Kechi Zhang, et al. ∙

research

∙ 04/10/2023

Missing Data Imputation with Graph Laplacian Pyramid Network

Data imputation is a prevalent and important task due to the ubiquitousn...

0 Weiqi Zhang, et al. ∙

research

∙ 04/01/2023

Cross-scale Multi-instance Learning for Pathological Image Diagnosis

Analyzing high resolution whole slide images (WSIs) with regard to infor...

8 Ruining Deng, et al. ∙

research

∙ 03/31/2023

Towards Enhancing In-Context Learning for Code Generation

In-context learning (ICL) with pre-trained language models (PTLMs) has s...

0 Jia Li, et al. ∙

research

∙ 03/16/2023

Multimodal Feature Extraction and Fusion for Emotional Reaction Intensity Estimation and Expression Classification in Videos with Transformers

In this paper, we present our solutions to the two sub-challenges of Aff...

0 Jia Li, et al. ∙

research

∙ 03/13/2023

TriDet: Temporal Action Detection with Relative Boundary Modeling

In this paper, we present a one-stage framework TriDet for temporal acti...

0 Dingfeng Shi, et al. ∙

research

∙ 03/12/2023

A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data

In this work, we present the Bregman Alternating Projected Gradient (BAP...

0 Jiajin Li, et al. ∙

research

∙ 03/04/2023

Decision Support System for Chronic Diseases Based on Drug-Drug Interactions

Many patients with chronic diseases resort to multiple medications to re...

0 Tian Bian, et al. ∙

research

∙ 02/25/2023

Knowledge Graph Completion with Counterfactual Augmentation

Graph Neural Networks (GNNs) have demonstrated great success in Knowledg...

0 Heng Chang, et al. ∙

research

∙ 02/13/2023

SkCoder: A Sketch-based Approach for Automatic Code Generation

Recently, deep learning techniques have shown great success in automatic...

0 Jia Li, et al. ∙

research

∙ 02/08/2023

Syntax and Domain Aware Model for Unsupervised Program Translation

There is growing interest in software migration as the development of so...

0 Fang Liu, et al. ∙

research

∙ 01/30/2023

Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport

Graph alignment, which aims at identifying corresponding entities across...

0 Jianheng Tang, et al. ∙

research

∙ 01/17/2023

Rethinking Lightweight Salient Object Detection via Network Depth-Width Tradeoff

Existing salient object detection methods often adopt deeper and wider n...

0 Jia Li, et al. ∙

research

∙ 01/09/2023

SantaCoder: don't reach for the stars!

The BigCode project is an open-scientific collaboration working on the r...

1 Loubna Ben Allal, et al. ∙

research

∙ 01/05/2023

Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms

Diversity maximization aims to select a diverse and representative subse...

3 Yanhao Wang, et al. ∙

research

∙ 12/28/2022

Parsing Objects at a Finer Granularity: A Survey

Fine-grained visual parsing, including fine-grained part segmentation an...

0 Yifan Zhao, et al. ∙

research

∙ 12/28/2022

Part-guided Relational Transformers for Fine-grained Visual Recognition

Fine-grained visual recognition is to classify objects with visually sim...

0 Yifan Zhao, et al. ∙

research

∙ 12/22/2022

Self-supervised Hypergraph Representation Learning for Sociological Analysis

Modern sociology has profoundly uncovered many convincing social criteri...

0 Xiangguo Sun, et al. ∙

research

∙ 11/30/2022

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder

Graph neural networks (GNNs) are popular weapons for modeling relational...

0 Ziqi Gao, et al. ∙

research

∙ 11/20/2022

The Stack: 3 TB of permissively licensed source code

Large Language Models (LLMs) play an ever-increasing role in the field o...

0 Denis Kocetkov, et al. ∙

research

∙ 11/03/2022

Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively

Large-scale pre-trained language models have achieved impressive results...

0 Haojie Zhang, et al. ∙

research

∙ 10/31/2022

CodeEditor: Learning to Edit Source Code with Pre-trained Models

Developers often perform repetitive code editing activities for various ...

0 Jia Li, et al. ∙

research

∙ 10/31/2022

Poison Attack and Defense on Deep Source Code Processing Models

In the software engineering community, deep learning (DL) has recently b...

0 Jia Li, et al. ∙

research

∙ 09/27/2022

View-aware Salient Object Detection for 360° Omnidirectional Image

Image-based salient object detection (ISOD) in 360 scenarios is signific...

0 Junjie Wu, et al. ∙

research

∙ 09/16/2022

ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery

The last decade has witnessed a prosperous development of computational ...

0 Lanqing Li, et al. ∙

research

∙ 08/15/2022

Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images

Multi-instance learning (MIL) is widely used in the computer-aided inter...

14 Ruining Deng, et al. ∙

research

∙ 08/15/2022

A Domain-Specific Language for Simulation-Based Testing of IoT Edge-to-Cloud Solutions

The Internet of things (IoT) is increasingly prevalent in domains such a...

0 Jia Li, et al. ∙

Jia Li

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