b'Sheng Li'

research

∙ 09/18/2023

Securing Fixed Neural Network Steganography

Image steganography is the art of concealing secret information in image...

0 Zicong Luo, et al. ∙

research

∙ 08/23/2023

Trustworthy Representation Learning Across Domains

As AI systems have obtained significant performance to be deployed widel...

0 Ronghang Zhu, et al. ∙

research

∙ 08/21/2023

Leveraging Large Language Models for Pre-trained Recommender Systems

Recent advancements in recommendation systems have shifted towards more ...

0 Zhixuan Chu, et al. ∙

research

∙ 08/21/2023

Enhancing Recommender Systems with Large Language Model Reasoning Graphs

Recommendation systems aim to provide users with relevant suggestions, b...

0 Yan Wang, et al. ∙

research

∙ 08/11/2023

Experts Weights Averaging: A New General Training Scheme for Vision Transformers

Structural re-parameterization is a general training scheme for Convolut...

0 Yongqi Huang, et al. ∙

research

∙ 07/31/2023

DRAW: Defending Camera-shooted RAW against Image Manipulation

RAW files are the initial measurement of scene radiance widely used in m...

0 Xiaoxiao Hu, et al. ∙

research

∙ 07/20/2023

RetouchingFFHQ: A Large-scale Dataset for Fine-grained Face Retouching Detection

The widespread use of face retouching filters on short-video platforms h...

0 Qichao Ying, et al. ∙

research

∙ 07/19/2023

PharmacyGPT: The AI Pharmacist

In this study, we introduce PharmacyGPT, a novel framework to assess the...

0 Zhengliang Liu, et al. ∙

research

∙ 07/07/2023

Towards Deep Network Steganography: From Networks to Networks

With the widespread applications of the deep neural network (DNN), how t...

0 Guobiao Li, et al. ∙

research

∙ 06/20/2023

Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications

This paper explores new frontiers in agricultural natural language proce...

0 Saed Rezayi, et al. ∙

research

∙ 05/16/2023

Towards Speech Dialogue Translation Mediating Speakers of Different Languages

We present a new task, speech dialogue translation mediating speakers of...

0 Shuichiro Shimizu, et al. ∙

research

∙ 05/10/2023

Generative Steganographic Flow

Generative steganography (GS) is a new data hiding manner, featuring dir...

0 Ping Wei, et al. ∙

research

∙ 05/05/2023

Generative Steganography Diffusion

Generative steganography (GS) is an emerging technique that generates st...

0 Ping Wei, et al. ∙

research

∙ 05/05/2023

BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks

Recently, the Segment Anything Model (SAM) has gained significant attent...

0 Zihan Guan, et al. ∙

research

∙ 04/24/2023

Artificial General Intelligence (AGI) for Education

Artificial general intelligence (AGI) has gained global recognition as a...

0 Ehsan Latif, et al. ∙

research

∙ 04/20/2023

Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models

Recent advancements in foundation models (FMs), such as GPT-4 and LLaMA,...

0 Jielu Zhang, et al. ∙

research

∙ 04/12/2023

AGI for Agriculture

Artificial General Intelligence (AGI) is poised to revolutionize a varie...

0 Guoyu Lu, et al. ∙

research

∙ 04/04/2023

TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings

In response to innovations in machine learning (ML) models, production w...

0 Norman P. Jouppi, et al. ∙

research

∙ 03/26/2023

Frame Flexible Network

Existing video recognition algorithms always conduct different training ...

0 Yitian Zhang, et al. ∙

research

∙ 03/03/2023

Continual Causal Inference with Incremental Observational Data

The era of big data has witnessed an increasing availability of observat...

0 Zhixuan Chu, et al. ∙

research

∙ 02/28/2023

Steganography of Steganographic Networks

Steganography is a technique for covert communication between two partie...

0 Guobiao Li, et al. ∙

research

∙ 02/25/2023

Better Generative Replay for Continual Federated Learning

Federated learning is a technique that enables a centralized server to l...

0 Daiqing Qi, et al. ∙

research

∙ 02/25/2023

Fair Attribute Completion on Graph with Missing Attributes

Tackling unfairness in graph learning models is a challenging task, as t...

0 Dongliang Guo, et al. ∙

research

∙ 02/13/2023

Towards Explainable Visual Anomaly Detection

Anomaly detection and localization of visual data, including images and ...

0 Yizhou Wang, et al. ∙

research

∙ 02/02/2023

Causal Effect Estimation: Recent Advances, Challenges, and Opportunities

Causal inference has numerous real-world applications in many domains, s...

0 Zhixuan Chu, et al. ∙

research

∙ 01/03/2023

Continual Treatment Effect Estimation: Challenges and Opportunities

A further understanding of cause and effect within observational data is...

0 Zhixuan Chu, et al. ∙

research

∙ 01/01/2023

Trojaning semi-supervised learning model via poisoning wild images on the web

Wild images on the web are vulnerable to backdoor (also called trojan) p...

0 Le Feng, et al. ∙

research

∙ 12/29/2022

Exploring Depth Information for Face Manipulation Detection

Face manipulation detection has been receiving a lot of attention for th...

0 Haoyue Wang, et al. ∙

research

∙ 12/08/2022

Frozen CLIP Model is An Efficient Point Cloud Backbone

The pretraining-finetuning paradigm has demonstrated great success in NL...

0 Xiaoshui Huang, et al. ∙

research

∙ 11/20/2022

Semi-supervised Local Cluster Extraction by Compressive Sensing

Local clustering problem aims at extracting a small local structure insi...

0 Zhaiming Shen, et al. ∙

research

∙ 11/01/2022

Speech-text based multi-modal training with bidirectional attention for improved speech recognition

To let the state-of-the-art end-to-end ASR model enjoy data efficiency, ...

0 Yuhang Yang, et al. ∙

research

∙ 10/28/2022

Learning to Immunize Images for Tamper Localization and Self-Recovery

Digital images are vulnerable to nefarious tampering attacks such as con...

0 Qichao Ying, et al. ∙

research

∙ 09/22/2022

Layer Freezing Data Sieving: Missing Pieces of a Generic Framework for Sparse Training

Recently, sparse training has emerged as a promising paradigm for effici...

0 Geng Yuan, et al. ∙

research

∙ 08/22/2022

Hierarchical Capsule Prediction Network for Marketing Campaigns Effect

Marketing campaigns are a set of strategic activities that can promote a...

0 Zhixuan Chu, et al. ∙

research

∙ 07/28/2022

Generative Steganography Network

Steganography usually modifies cover media to embed secret data. A new s...

0 Ping Wei, et al. ∙

research

∙ 07/21/2022

Image Generation Network for Covert Transmission in Online Social Network

Online social networks have stimulated communications over the Internet ...

0 Zhengxin You, et al. ∙

research

∙ 07/07/2022

Robust Watermarking for Video Forgery Detection with Improved Imperceptibility and Robustness

Videos are prone to tampering attacks that alter the meaning and deceive...

0 Yangming Zhou, et al. ∙

research

∙ 07/04/2022

Sustainable AI Processing at the Edge

Edge computing is a popular target for accelerating machine learning alg...

0 Sebastien Ollivier, et al. ∙

research

∙ 06/22/2022

Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations

Artificial neural networks (ANNs), originally inspired by biological neu...

0 Lin Zhao, et al. ∙

research

∙ 06/06/2022

Robust Image Protection Countering Cropping Manipulation

Image cropping is an inexpensive and effective operation of maliciously ...

14 Qichao Ying, et al. ∙

research

∙ 06/02/2022

A DTCWT-SVD Based Video Watermarking resistant to frame rate conversion

Videos can be easily tampered, copied and redistributed by attackers for...

0 Yifei Wang, et al. ∙

research

∙ 05/28/2022

Multimodal Fake News Detection via CLIP-Guided Learning

Multimodal fake news detection has attracted many research interests in ...

0 Yangming Zhou, et al. ∙

research

∙ 04/11/2022

Fusion of Self-supervised Learned Models for MOS Prediction

We participated in the mean opinion score (MOS) prediction challenge, 20...

0 Zhengdong Yang, et al. ∙

research

∙ 04/08/2022

Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognition

Low resource speech recognition has been long-suffering from insufficien...

0 Qianying Liu, et al. ∙

research

∙ 03/10/2022

Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials

Estimating treatment effects from observational data provides insights a...

0 Zhixuan Chu, et al. ∙

research

∙ 02/22/2022

Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data

The foremost challenge to causal inference with real-world data is to ha...

0 Zhixuan Chu, et al. ∙

research

∙ 12/29/2021

Invertible Image Dataset Protection

Deep learning has achieved enormous success in various industrial applic...

4 Kejiang Chen, et al. ∙

research

∙ 12/18/2021

Adversarial Memory Networks for Action Prediction

Action prediction aims to infer the forthcoming human action with partia...

0 Zhiqiang Tao, et al. ∙

research

∙ 11/23/2021

GenReg: Deep Generative Method for Fast Point Cloud Registration

Accurate and efficient point cloud registration is a challenge because t...

0 Xiaoshui Huang, et al. ∙

research

∙ 10/15/2021

On Generating Identifiable Virtual Faces

Face anonymization with generative models have become increasingly preva...

0 Zhuowen Yuan, et al. ∙

Sheng Li

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