b'Jie Zhang'

research

∙ 09/12/2023

Catch You Everything Everywhere: Guarding Textual Inversion via Concept Watermarking

AIGC (AI-Generated Content) has achieved tremendous success in many appl...

0 Weitao Feng, et al. ∙

research

∙ 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...

0 Qiushi Zhu, et al. ∙

research

∙ 08/23/2023

Aparecium: Revealing Secrets from Physical Photographs

Watermarking is a crucial tool for safeguarding copyrights and can serve...

0 Zhe Lei, et al. ∙

research

∙ 08/21/2023

Patch Is Not All You Need

Vision Transformers have achieved great success in computer visions, del...

0 Changzhen Li, et al. ∙

research

∙ 08/21/2023

Backdooring Textual Inversion for Concept Censorship

Recent years have witnessed success in AIGC (AI Generated Content). Peop...

0 Yutong Wu, et al. ∙

research

∙ 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...

0 Jie Zhang, et al. ∙

research

∙ 08/18/2023

Overlap Bias Matching is Necessary for Point Cloud Registration

Point cloud registration is a fundamental problem in many domains. Pract...

0 Pengcheng Shi, et al. ∙

research

∙ 08/07/2023

Mobile Supply: The Last Piece of Jigsaw of Recommender System

Recommendation system is a fundamental functionality of online platforms...

0 Zhenhao Jiang, et al. ∙

research

∙ 07/24/2023

Rethinking Data Distillation: Do Not Overlook Calibration

Neural networks trained on distilled data often produce over-confident o...

0 Dongyao Zhu, et al. ∙

research

∙ 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...

0 Gennaro Auricchio, et al. ∙

research

∙ 07/23/2023

A Bilevel Formalism for the Peer-Reviewing Problem

Due to the large number of submissions that more and more conferences ex...

0 Gennaro Auricchio, et al. ∙

research

∙ 07/19/2023

Our Model Achieves Excellent Performance on MovieLens: What Does it Mean?

A typical benchmark dataset for recommender system (RecSys) evaluation c...

0 Yu-chen Fan, et al. ∙

research

∙ 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...

0 Zhenhao Jiang, et al. ∙

research

∙ 07/15/2023

Learning Subjective Time-Series Data via Utopia Label Distribution Approximation

Subjective time-series regression (STR) tasks have gained increasing att...

0 Wenxin Xu, et al. ∙

research

∙ 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...

0 Sikai Bai, et al. ∙

research

∙ 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...

0 Jie Zhang, et al. ∙

research

∙ 07/06/2023

Contextual Affinity Distillation for Image Anomaly Detection

Previous works on unsupervised industrial anomaly detection mainly focus...

0 Jie Zhang, et al. ∙

research

∙ 06/18/2023

A Survey on User-Space Storage and Its Implementations

The storage stack in the traditional operating system is primarily optim...

0 Junzhe Li, et al. ∙

research

∙ 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...

0 Leijie Wu, et al. ∙

research

∙ 06/01/2023

Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models

Diffusion-based Generative Models (DGMs) have achieved unparalleled perf...

0 Ruibin Li, et al. ∙

research

∙ 05/31/2023

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems

Learning heuristics for vehicle routing problems (VRPs) has gained much ...

0 Jianan Zhou, et al. ∙

research

∙ 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...

0 Tao Feng, et al. ∙

research

∙ 05/23/2023

Layer-adaptive Structured Pruning Guided by Latency

Structured pruning can simplify network architecture and improve inferen...

0 Siyuan Pan, et al. ∙

research

∙ 05/21/2023

CASA-ASR: Context-Aware Speaker-Attributed ASR

Recently, speaker-attributed automatic speech recognition (SA-ASR) has a...

0 Mohan Shi, et al. ∙

research

∙ 05/21/2023

Semantic VAD: Low-Latency Voice Activity Detection for Speech Interaction

For speech interaction, voice activity detection (VAD) is often used as ...

0 Mohan Shi, et al. ∙

research

∙ 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...

0 Jie Zhang, et al. ∙

research

∙ 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...

0 Sheng Liu, et al. ∙

research

∙ 05/14/2023

Watermarking Text Generated by Black-Box Language Models

LLMs now exhibit human-like skills in various fields, leading to worries...

0 Xi Yang, et al. ∙

research

∙ 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...

0 Hongjing Huang, et al. ∙

research

∙ 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...

0 Chaoya Jiang, et al. ∙

research

∙ 05/05/2023

Retraining A Graph-based Recommender with Interests Disentanglement

In a practical recommender system, new interactions are continuously obs...

0 Yitong Ji, et al. ∙

research

∙ 05/01/2023

Towards Unbiased Training in Federated Open-world Semi-supervised Learning

Federated Semi-supervised Learning (FedSSL) has emerged as a new paradig...

0 Jie Zhang, et al. ∙

research

∙ 04/19/2023

Analytic Network Traffic Prediction Based on User Behavior Modeling

This paper proposes an interpretable user-behavior-based (UBB) network t...

0 Liangzhi Wang, et al. ∙

research

∙ 04/17/2023

Prophet: Conflict-Free Sharding Blockchain via Byzantine-Tolerant Deterministic Ordering

Sharding scales throughput by splitting blockchain nodes into parallel g...

0 Zicong Hong, et al. ∙

research

∙ 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...

0 Xiaoqing Huang, et al. ∙

research

∙ 04/10/2023

Multi-Sample Consensus Driven Unsupervised Normal Estimation for 3D Point Clouds

Deep normal estimators have made great strides on synthetic benchmarks. ...

0 Jie Zhang, et al. ∙

research

∙ 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...

0 Zhongqi Wang, et al. ∙

research

∙ 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...

0 Jiliang Zhang, et al. ∙

research

∙ 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...

0 Shengzhe Wang, et al. ∙

research

∙ 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...

0 Lingyou Zhou, et al. ∙

research

∙ 03/15/2023

Real Face Foundation Representation Learning for Generalized Deepfake Detection

The emergence of deepfake technologies has become a matter of social con...

0 Liang Shi, et al. ∙

research

∙ 03/04/2023

Neural Airport Ground Handling

Airport ground handling (AGH) offers necessary operations to flights dur...

0 Yaoxin Wu, et al. ∙

research

∙ 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...

0 Jianan Zhou, et al. ∙

research

∙ 02/16/2023

Speech Enhancement with Multi-granularity Vector Quantization

With advances in deep learning, neural network based speech enhancement ...

0 Xiao-Ying Zhao, et al. ∙

research

∙ 02/01/2023

TAP: Accelerating Large-Scale DNN Training Through Tensor Automatic Parallelisation

Model parallelism has become necessary to train large neural networks. H...

0 Ziji Shi, et al. ∙

research

∙ 01/20/2023

DiffusionCT: Latent Diffusion Model for CT Image Standardization

Computed tomography (CT) imaging is a widely used modality for early lun...

19 Md. Selim, et al. ∙

research

∙ 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...

0 Yingchun Wang, et al. ∙

research

∙ 12/12/2022

Wireless Channel Delay Spread Performance Evaluation of a Building Layout

Evaluating a building's wireless performance during the building design ...

0 Yixin Huang, et al. ∙

research

∙ 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...

5 Yingchun Wang, et al. ∙

research

∙ 12/05/2022

DeAR: A Deep-learning-based Audio Re-recording Resilient Watermarking

Audio watermarking is widely used for leaking source tracing. The robust...

0 Chang Liu, et al. ∙

Jie Zhang

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