b'Ke Xu'

research

∙ 05/24/2023

HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification

Hierarchical text classification (HTC) is a challenging subtask of multi...

0 He Zhu, et al. ∙

research

∙ 05/22/2023

Interactive Natural Language Processing

Interactive Natural Language Processing (iNLP) has emerged as a novel pa...

3 Zekun Wang, et al. ∙

research

∙ 05/08/2023

SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning

In contrastive learning, the choice of “view” controls the information t...

0 Junran Wu, et al. ∙

research

∙ 04/22/2023

Detecting Political Opinions in Tweets through Bipartite Graph Analysis: A Skip Aggregation Graph Convolution Approach

Public opinion is a crucial factor in shaping political decision-making....

0 Xingyu Peng, et al. ∙

research

∙ 04/06/2023

Graph Collaborative Signals Denoising and Augmentation for Recommendation

Graph collaborative filtering (GCF) is a popular technique for capturing...

0 Ziwei Fan, et al. ∙

research

∙ 03/13/2023

Deploying Offline Reinforcement Learning with Human Feedback

Reinforcement learning (RL) has shown promise for decision-making tasks ...

0 Ziniu Li, et al. ∙

research

∙ 02/19/2023

SAT Requires Exhaustive Search

In this paper, by constructing extremely hard examples of CSP (with larg...

0 Ke Xu, et al. ∙

research

∙ 01/31/2023

Detecting Unknown Encrypted Malicious Traffic in Real Time via Flow Interaction Graph Analysis

In this paper, we propose HyperVision, a realtime unsupervised machine l...

0 Chuanpu Fu, et al. ∙

research

∙ 01/30/2023

MAKE: Vision-Language Pre-training based Product Retrieval in Taobao Search

Taobao Search consists of two phases: the retrieval phase and the rankin...

0 Xiaoyang Zheng, et al. ∙

research

∙ 01/20/2023

DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks

Given the development and abundance of social media, studying the stance...

0 Chong Zhang, et al. ∙

research

∙ 12/31/2022

Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence

Deep neural networks are vulnerable to adversarial attacks. In this pape...

0 Han Fang, et al. ∙

research

∙ 12/01/2022

Differentially Private Learning with Per-Sample Adaptive Clipping

Privacy in AI remains a topic that draws attention from researchers and ...

0 Tianyu Xia, et al. ∙

research

∙ 11/30/2022

Novel Modelling Strategies for High-frequency Stock Trading Data

Full electronic automation in stock exchanges has recently become popula...

0 Xuekui Zhang, et al. ∙

research

∙ 11/17/2022

3D-QueryIS: A Query-based Framework for 3D Instance Segmentation

Previous top-performing methods for 3D instance segmentation often maint...

0 Jiaheng Liu, et al. ∙

research

∙ 10/19/2022

Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation

A promising paradigm for offline reinforcement learning (RL) is to const...

0 Chengqian Gao, et al. ∙

research

∙ 10/08/2022

FedDef: Robust Federated Learning-based Network Intrusion Detection Systems Against Gradient Leakage

Deep learning methods have been widely applied to anomaly-based network ...

0 Jiahui Chen, et al. ∙

research

∙ 09/20/2022

Understanding Real-world Threats to Deep Learning Models in Android Apps

Famous for its superior performance, deep learning (DL) has been popular...

0 Zizhuang Deng, et al. ∙

research

∙ 08/30/2022

Boosting Night-time Scene Parsing with Learnable Frequency

Night-Time Scene Parsing (NTSP) is essential to many vision applications...

1 Zhifeng Xie, et al. ∙

research

∙ 08/11/2022

Quantized Adaptive Subgradient Algorithms and Their Applications

Data explosion and an increase in model size drive the remarkable advanc...

10 Ke Xu, et al. ∙

research

∙ 07/05/2022

PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch

Adversarial patch attacks mislead neural networks by injecting adversari...

0 Ke Xu, et al. ∙

research

∙ 07/04/2022

Harmonizer: Learning to Perform White-Box Image and Video Harmonization

Recent works on image harmonization solve the problem as a pixel-wise im...

2 Zhanghan Ke, et al. ∙

research

∙ 06/26/2022

Structural Entropy Guided Graph Hierarchical Pooling

Following the success of convolution on non-Euclidean space, the corresp...

0 Junran Wu, et al. ∙

research

∙ 06/06/2022

A Simple yet Effective Method for Graph Classification

In deep neural networks, better results can often be obtained by increas...

0 Junran Wu, et al. ∙

research

∙ 05/16/2022

Multi-scale Attention Flow for Probabilistic Time Series Forecasting

The probability prediction of multivariate time series is a notoriously ...

0 Shibo Feng, et al. ∙

research

∙ 04/24/2022

Adaptive Task Planning for Large-Scale Robotized Warehouses

Robotized warehouses are deployed to automatically distribute millions o...

0 Dingyuan Shi, et al. ∙

research

∙ 04/12/2022

CoupleFace: Relation Matters for Face Recognition Distillation

Knowledge distillation is an effective method to improve the performance...

0 Jiaheng Liu, et al. ∙

research

∙ 03/17/2022

Bi-directional Object-context Prioritization Learning for Saliency Ranking

The saliency ranking task is recently proposed to study the visual behav...

0 Xin Tian, et al. ∙

research

∙ 03/04/2022

Rethinking Efficient Lane Detection via Curve Modeling

This paper presents a novel parametric curve-based method for lane detec...

0 Zhengyang Feng, et al. ∙

research

∙ 01/13/2022

Interactive Data Analysis with Next-step Natural Language Query Recommendation

Natural language interfaces (NLIs) provide users with a convenient way t...

9 Xingbo Wang, et al. ∙

research

∙ 12/05/2021

Adaptive Channel Encoding for Point Cloud Analysis

Attention mechanism plays a more and more important role in point cloud ...

0 Guoquan Xu, et al. ∙

research

∙ 12/05/2021

Adaptive Channel Encoding Transformer for Point Cloud Analysis

Transformer plays an increasingly important role in various computer vis...

0 Guoquan Xu, et al. ∙

research

∙ 11/23/2021

Gait Identification under Surveillance Environment based on Human Skeleton

As an emerging biological identification technology, vision-based gait i...

0 Xingkai Zheng, et al. ∙

research

∙ 11/19/2021

Learning to Detect Instance-level Salient Objects Using Complementary Image Labels

Existing salient instance detection (SID) methods typically learn from p...

4 Xin Tian, et al. ∙

research

∙ 10/15/2021

Value Penalized Q-Learning for Recommender Systems

Scaling reinforcement learning (RL) to recommender systems (RS) is promi...

0 Chengqian Gao, et al. ∙

research

∙ 10/05/2021

TENT: Text Classification Based on ENcoding Tree Learning

Text classification is a primary task in natural language processing (NL...

0 Chong Zhang, et al. ∙

research

∙ 09/07/2021

Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression

Recent studies on compression of pretrained language models (e.g., BERT)...

0 Canwen Xu, et al. ∙

research

∙ 09/05/2021

Structural Optimization Makes Graph Classification Simpler and Better

In deep neural networks, better results can often be obtained by increas...

0 Junran Wu, et al. ∙

research

∙ 08/20/2021

Dual-Neighborhood Deep Fusion Network for Point Cloud Analysis

Convolutional neural network has made remarkable achievements in classif...

0 Guoquan Xu, et al. ∙

research

∙ 06/28/2021

Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis

Machine learning (ML) based malicious traffic detection is an emerging s...

0 Chuanpu Fu, et al. ∙

research

∙ 06/25/2021

Learning to Sample Replacements for ELECTRA Pre-Training

ELECTRA pretrains a discriminator to detect replaced tokens, where the r...

0 Yaru Hao, et al. ∙

research

∙ 06/04/2021

Price graphs: Utilizing the structural information of financial time series for stock prediction

Great research efforts have been devoted to exploiting deep neural netwo...

0 Junran Wu, et al. ∙

research

∙ 06/03/2021

Exploring Memorization in Adversarial Training

It is well known that deep learning models have a propensity for fitting...

0 Yinpeng Dong, et al. ∙

research

∙ 04/21/2021

Voice2Mesh: Cross-Modal 3D Face Model Generation from Voices

This work focuses on the analysis that whether 3D face models can be lea...

57 Cho Ying Wu, et al. ∙

research

∙ 04/06/2021

Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge

Cant is important for understanding advertising, comedies and dog-whistl...

0 Canwen Xu, et al. ∙

research

∙ 01/02/2021

Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting

In this paper, we generalize text infilling (e.g., masked language model...

0 Wangchunshu Zhou, et al. ∙

research

∙ 12/30/2020

Improving BERT with Syntax-aware Local Attention

Pre-trained Transformer-based neural language models, such as BERT, have...

0 Zhongli Li, et al. ∙

research

∙ 12/13/2020

Location-aware Single Image Reflection Removal

This paper proposes a novel location-aware deep learning-based single im...

3 Zheng Dong, et al. ∙

research

∙ 12/10/2020

DA-HGT: Domain Adaptive Heterogeneous Graph Transformer

Domain adaptation using graph networks is to learn label-discriminative ...

0 Tiancheng Huang, et al. ∙

research

∙ 11/27/2020

Robust Attacks on Deep Learning Face Recognition in the Physical World

Deep neural networks (DNNs) have been increasingly used in face recognit...

5 Meng Shen, et al. ∙

research

∙ 11/05/2020

Exact Phase Transitions of Model RB with Slower-Growing Domains

The second moment method has always been an effective tool to lower boun...

2 Jun Liu, et al. ∙

Ke Xu

Featured Co-authors