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09/12/2023
Catch You Everything Everywhere: Guarding Textual Inversion via Concept Watermarking
AIGC (AI-Generated Content) has achieved tremendous success in many appl...
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08/28/2023
Rep2wav: Noise Robust text-to-speech Using self-supervised representations
Benefiting from the development of deep learning, text-to-speech (TTS) t...
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08/23/2023
Aparecium: Revealing Secrets from Physical Photographs
Watermarking is a crucial tool for safeguarding copyrights and can serve...
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08/21/2023
Patch Is Not All You Need
Vision Transformers have achieved great success in computer visions, del...
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08/21/2023
Backdooring Textual Inversion for Concept Censorship
Recent years have witnessed success in AIGC (AI Generated Content). Peop...
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08/19/2023
Semantic-Human: Neural Rendering of Humans from Monocular Video with Human Parsing
The neural rendering of humans is a topic of great research significance...
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08/18/2023
Overlap Bias Matching is Necessary for Point Cloud Registration
Point cloud registration is a fundamental problem in many domains. Pract...
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08/07/2023
Mobile Supply: The Last Piece of Jigsaw of Recommender System
Recommendation system is a fundamental functionality of online platforms...
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07/24/2023
Rethinking Data Distillation: Do Not Overlook Calibration
Neural networks trained on distilled data often produce over-confident o...
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07/23/2023
On the Manipulability of Maximum Vertex-Weighted Bipartite b-matching Mechanisms
In this paper, we study the Maximum Vertex-weighted b-Matching (MVbM) pr...
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07/23/2023
A Bilevel Formalism for the Peer-Reviewing Problem
Due to the large number of submissions that more and more conferences ex...
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07/19/2023
Our Model Achieves Excellent Performance on MovieLens: What Does it Mean?
A typical benchmark dataset for recommender system (RecSys) evaluation c...
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07/18/2023
ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via Parameter Constraint
Large-scale online recommender system spreads all over the Internet bein...
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07/15/2023
Learning Subjective Time-Series Data via Utopia Label Distribution Approximation
Subjective time-series regression (STR) tasks have gained increasing att...
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07/11/2023
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators
Federated learning has become a popular method to learn from decentraliz...
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07/06/2023
That's BAD: Blind Anomaly Detection by Implicit Local Feature Clustering
Recent studies on visual anomaly detection (AD) of industrial objects/te...
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07/06/2023
Contextual Affinity Distillation for Image Anomaly Detection
Previous works on unsupervised industrial anomaly detection mainly focus...
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06/18/2023
A Survey on User-Space Storage and Its Implementations
The storage stack in the traditional operating system is primarily optim...
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06/02/2023
On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions
As Federated Learning (FL) has gained increasing attention, it has becom...
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06/01/2023
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models
Diffusion-based Generative Models (DGMs) have achieved unparalleled perf...
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05/31/2023
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
Learning heuristics for vehicle routing problems (VRPs) has gained much ...
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05/29/2023
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching
The expenses involved in training state-of-the-art deep hashing retrieva...
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05/23/2023
Layer-adaptive Structured Pruning Guided by Latency
Structured pruning can simplify network architecture and improve inferen...
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05/21/2023
CASA-ASR: Context-Aware Speaker-Attributed ASR
Recently, speaker-attributed automatic speech recognition (SA-ASR) has a...
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05/21/2023
Semantic VAD: Low-Latency Voice Activity Detection for Speech Interaction
For speech interaction, voice activity detection (VAD) is often used as ...
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05/17/2023
BASEN: Time-Domain Brain-Assisted Speech Enhancement Network with Convolutional Cross Attention in Multi-talker Conditions
Time-domain single-channel speech enhancement (SE) still remains challen...
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05/16/2023
Security Enhancement of Quantum Noise Stream Cipher Based on Probabilistic Constellation Shaping
We propose a QNSC pre-coding scheme based on probabilistic shaping of th...
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05/14/2023
Watermarking Text Generated by Black-Box Language Models
LLMs now exhibit human-like skills in various fields, leading to worries...
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05/10/2023
P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs
Generalized linear models (GLMs) are a widely utilized family of machine...
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05/08/2023
Vision Langauge Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation
Cross-modal contrastive learning in vision language pretraining (VLP) fa...
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05/05/2023
Retraining A Graph-based Recommender with Interests Disentanglement
In a practical recommender system, new interactions are continuously obs...
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05/01/2023
Towards Unbiased Training in Federated Open-world Semi-supervised Learning
Federated Semi-supervised Learning (FedSSL) has emerged as a new paradig...
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04/19/2023
Analytic Network Traffic Prediction Based on User Behavior Modeling
This paper proposes an interpretable user-behavior-based (UBB) network t...
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04/17/2023
Prophet: Conflict-Free Sharding Blockchain via Byzantine-Tolerant Deterministic Ordering
Sharding scales throughput by splitting blockchain nodes into parallel g...
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04/11/2023
Inhomogeneous graph trend filtering via a l2,0 cardinality penalty
We study estimation of piecewise smooth signals over a graph. We propose...
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04/10/2023
Multi-Sample Consensus Driven Unsupervised Normal Estimation for 3D Point Clouds
Deep normal estimators have made great strides on synthetic benchmarks. ...
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04/09/2023
CCLAP: Controllable Chinese Landscape Painting Generation via Latent Diffusion Model
With the development of deep generative models, recent years have seen g...
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04/05/2023
Spatial Scattering Modulation with Multipath Component Aggregation Based on Antenna Arrays
In this paper, a multipath component aggregation (MCA) mechanism is intr...
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03/23/2023
LearnedFTL: A Learning-based Page-level FTL for Improving Random Reads in Flash-based SSDs
We present LearnedFTL, which applies learned indexes to on-demand page-l...
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03/22/2023
A Fast Path Loss Model for Wireless Channels Considering Environmental Factors
We present a path loss model that accurately predicts the path loss with...
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03/15/2023
Real Face Foundation Representation Learning for Generalized Deepfake Detection
The emergence of deepfake technologies has become a matter of social con...
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03/04/2023
Neural Airport Ground Handling
Airport ground handling (AGH) offers necessary operations to flights dur...
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02/27/2023
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling
Dispatching vehicle fleets to serve flights is a key task in airport gro...
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02/16/2023
Speech Enhancement with Multi-granularity Vector Quantization
With advances in deep learning, neural network based speech enhancement ...
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02/01/2023
TAP: Accelerating Large-Scale DNN Training Through Tensor Automatic Parallelisation
Model parallelism has become necessary to train large neural networks. H...
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01/20/2023
DiffusionCT: Latent Diffusion Model for CT Image Standardization
Computed tomography (CT) imaging is a widely used modality for early lun...
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12/19/2022
Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning
Recent studies show that even highly biased dense networks contain an un...
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12/12/2022
Wireless Channel Delay Spread Performance Evaluation of a Building Layout
Evaluating a building's wireless performance during the building design ...
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12/07/2022
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning
Network pruning is a promising way to generate light but accurate models...
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12/05/2022
