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09/17/2023
OWL: A Large Language Model for IT Operations
With the rapid development of IT operations, it has become increasingly ...
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09/11/2023
Large Language Model for Science: A Study on P vs. NP
In this work, we use large language models (LLMs) to augment and acceler...
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09/09/2023
Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic
Machine learning (ML) is promising in accurately detecting malicious flo...
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09/07/2023
Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains
Recently unsupervised machine learning based systems have been developed...
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09/03/2023
martFL: Enabling Utility-Driven Data Marketplace with a Robust and Verifiable Federated Learning Architecture
The development of machine learning models requires a large amount of tr...
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08/28/2023
Referring Image Segmentation Using Text Supervision
Existing Referring Image Segmentation (RIS) methods typically require ex...
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08/16/2023
SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-time Performance on Mobile Device
With the rapid development of AI hardware accelerators, applying deep le...
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08/15/2023
FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence
Edge Intelligence (EI) allows Artificial Intelligence (AI) applications ...
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08/15/2023
EQ-Net: Elastic Quantization Neural Networks
Current model quantization methods have shown their promising capability...
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07/24/2023
New Covert and Side Channels Based on Retirement
Intel processors utilize the retirement to orderly retire the micro-ops ...
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07/20/2023
Lighting up NeRF via Unsupervised Decomposition and Enhancement
Neural Radiance Field (NeRF) is a promising approach for synthesizing no...
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07/19/2023
Self-Supervised Learning for WiFi CSI-Based Human Activity Recognition: A Systematic Study
Recently, with the advancement of the Internet of Things (IoT), WiFi CSI...
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06/27/2023
Explainable Multimodal Emotion Reasoning
Multimodal emotion recognition is an active research topic in artificial...
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06/03/2023
BandwidthBreach: Unleashing Covert and Side Channels through Cache Bandwidth Exploitation
In the modern CPU architecture, enhancements such as the Line Fill Buffe...
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05/24/2023
HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification
Hierarchical text classification (HTC) is a challenging subtask of multi...
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05/22/2023
Interactive Natural Language Processing
Interactive Natural Language Processing (iNLP) has emerged as a novel pa...
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05/08/2023
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning
In contrastive learning, the choice of “view” controls the information t...
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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....
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04/06/2023
Graph Collaborative Signals Denoising and Augmentation for Recommendation
Graph collaborative filtering (GCF) is a popular technique for capturing...
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03/13/2023
Deploying Offline Reinforcement Learning with Human Feedback
Reinforcement learning (RL) has shown promise for decision-making tasks ...
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02/19/2023
SAT Requires Exhaustive Search
In this paper, by constructing extremely hard examples of CSP (with larg...
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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...
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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...
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01/20/2023
DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks
Given the development and abundance of social media, studying the stance...
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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...
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12/01/2022
Differentially Private Learning with Per-Sample Adaptive Clipping
Privacy in AI remains a topic that draws attention from researchers and ...
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11/30/2022
Novel Modelling Strategies for High-frequency Stock Trading Data
Full electronic automation in stock exchanges has recently become popula...
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11/17/2022
3D-QueryIS: A Query-based Framework for 3D Instance Segmentation
Previous top-performing methods for 3D instance segmentation often maint...
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10/19/2022
Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation
A promising paradigm for offline reinforcement learning (RL) is to const...
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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 ...
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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...
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08/30/2022
Boosting Night-time Scene Parsing with Learnable Frequency
Night-Time Scene Parsing (NTSP) is essential to many vision applications...
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08/11/2022
Quantized Adaptive Subgradient Algorithms and Their Applications
Data explosion and an increase in model size drive the remarkable advanc...
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07/05/2022
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch
Adversarial patch attacks mislead neural networks by injecting adversari...
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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...
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06/26/2022
Structural Entropy Guided Graph Hierarchical Pooling
Following the success of convolution on non-Euclidean space, the corresp...
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06/06/2022
A Simple yet Effective Method for Graph Classification
In deep neural networks, better results can often be obtained by increas...
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05/16/2022
Multi-scale Attention Flow for Probabilistic Time Series Forecasting
The probability prediction of multivariate time series is a notoriously ...
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04/24/2022
Adaptive Task Planning for Large-Scale Robotized Warehouses
Robotized warehouses are deployed to automatically distribute millions o...
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04/12/2022
CoupleFace: Relation Matters for Face Recognition Distillation
Knowledge distillation is an effective method to improve the performance...
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03/17/2022
Bi-directional Object-context Prioritization Learning for Saliency Ranking
The saliency ranking task is recently proposed to study the visual behav...
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03/04/2022
Rethinking Efficient Lane Detection via Curve Modeling
This paper presents a novel parametric curve-based method for lane detec...
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01/13/2022
Interactive Data Analysis with Next-step Natural Language Query Recommendation
Natural language interfaces (NLIs) provide users with a convenient way t...
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12/05/2021
Adaptive Channel Encoding for Point Cloud Analysis
Attention mechanism plays a more and more important role in point cloud ...
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12/05/2021
Adaptive Channel Encoding Transformer for Point Cloud Analysis
Transformer plays an increasingly important role in various computer vis...
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11/23/2021
Gait Identification under Surveillance Environment based on Human Skeleton
As an emerging biological identification technology, vision-based gait i...
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11/19/2021
Learning to Detect Instance-level Salient Objects Using Complementary Image Labels
Existing salient instance detection (SID) methods typically learn from p...
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10/15/2021
Value Penalized Q-Learning for Recommender Systems
Scaling reinforcement learning (RL) to recommender systems (RS) is promi...
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10/05/2021
TENT: Text Classification Based on ENcoding Tree Learning
Text classification is a primary task in natural language processing (NL...
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09/07/2021
