b'Shuai Zhang'

research

∙ 09/18/2023

Facilitating NSFW Text Detection in Open-Domain Dialogue Systems via Knowledge Distillation

NSFW (Not Safe for Work) content, in the context of a dialogue, can have...

0 Huachuan Qiu, et al. ∙

research

∙ 08/08/2023

InfeRE: Step-by-Step Regex Generation via Chain of Inference

Automatically generating regular expressions (abbrev. regexes) from natu...

0 Shuai Zhang, et al. ∙

research

∙ 07/31/2023

A Benchmark for Understanding Dialogue Safety in Mental Health Support

Dialogue safety remains a pervasive challenge in open-domain human-machi...

0 Huachuan Qiu, et al. ∙

research

∙ 07/21/2023

MAS: Towards Resource-Efficient Federated Multiple-Task Learning

Federated learning (FL) is an emerging distributed machine learning meth...

0 Weiming Zhuang, et al. ∙

research

∙ 07/17/2023

Latent Jailbreak: A Benchmark for Evaluating Text Safety and Output Robustness of Large Language Models

Researchers have invested considerable effort into ensuring that large l...

0 Huachuan Qiu, 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

∙ 06/28/2023

Non-Convex Optimizations for Machine Learning with Theoretical Guarantee: Robust Matrix Completion and Neural Network Learning

Despite the recent development in machine learning, most learning system...

0 Shuai Zhang, et al. ∙

research

∙ 06/27/2023

Understanding Client Reactions in Online Mental Health Counseling

Communication success relies heavily on reading participants' reactions....

0 Anqi Li, et al. ∙

research

∙ 06/23/2023

A Semi-Paired Approach For Label-to-Image Translation

Data efficiency, or the ability to generalize from a few labeled data, r...

0 George Eskandar, et al. ∙

research

∙ 06/19/2023

Co-design Hardware and Algorithm for Vector Search

Vector search has emerged as the foundation for large-scale information ...

0 Wenqi Jiang, et al. ∙

research

∙ 06/15/2023

Rethinking Document-Level Relation Extraction: A Reality Check

Recently, numerous efforts have continued to push up performance boundar...

0 Jing Li, et al. ∙

research

∙ 06/07/2023

Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks

In deep learning, mixture-of-experts (MoE) activates one or few experts ...

8 Mohammed Nowaz Rabbani Chowdhury, et al. ∙

research

∙ 05/31/2023

Learning Music Sequence Representation from Text Supervision

Music representation learning is notoriously difficult for its complex h...

0 Tianyu Chen, et al. ∙

research

∙ 05/23/2023

TO-Rawnet: Improving RawNet with TCN and Orthogonal Regularization for Fake Audio Detection

Current fake audio detection relies on hand-crafted features, which lose...

0 Chenglong Wang, et al. ∙

research

∙ 05/23/2023

Detection of Cross-Dataset Fake Audio Based on Prosodic and Pronunciation Features

Existing fake audio detection systems perform well in in-domain testing,...

0 Chenglong Wang, et al. ∙

research

∙ 05/16/2023

Wavelet-based Unsupervised Label-to-Image Translation

Semantic Image Synthesis (SIS) is a subclass of image-to-image translati...

0 George Eskandar, et al. ∙

research

∙ 04/30/2023

SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support

There has been an increasing research interest in developing specialized...

0 Huachuan Qiu, et al. ∙

research

∙ 04/10/2023

Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition

This work proposes POMP, a prompt pre-training method for vision-languag...

4 Shuhuai Ren, et al. ∙

research

∙ 03/30/2023

MobileInst: Video Instance Segmentation on the Mobile

Although recent approaches aiming for video instance segmentation have a...

0 Renhong Zhang, et al. ∙

research

∙ 02/25/2023

Cross-modal Contrastive Learning for Multimodal Fake News Detection

Automatic detection of multimodal fake news has gained a widespread atte...

0 Longzheng Wang, et al. ∙

research

∙ 02/06/2023

Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks

Due to the significant computational challenge of training large-scale g...

0 Shuai Zhang, et al. ∙

research

∙ 11/26/2022

SKDBERT: Compressing BERT via Stochastic Knowledge Distillation

In this paper, we propose Stochastic Knowledge Distillation (SKD) to obt...

0 Zixiang Ding, et al. ∙

research

∙ 09/28/2022

Neural Methods for Logical Reasoning Over Knowledge Graphs

Reasoning is a fundamental problem for computers and deeply studied in A...

0 Alfonso Amayuelas, et al. ∙

research

∙ 09/06/2022

Profiling Television Watching Behaviour Using Bayesian Hierarchical Joint Models for Time-to-Event and Count Data

Customer churn prediction is a valuable task in many industries. In tele...

3 Rafael A. Moral, et al. ∙

research

∙ 08/08/2022

SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty

Total knee arthroplasty (TKA) is a common orthopaedic surgery to replace...

0 Shuai Zhang, et al. ∙

research

∙ 07/21/2022

Incorporating Prior Knowledge into Reinforcement Learning for Soft Tissue Manipulation with Autonomous Grasping Point Selection

Previous soft tissue manipulation studies assumed that the grasping poin...

0 Xian He, et al. ∙

research

∙ 07/09/2022

Smart Multi-tenant Federated Learning

Federated learning (FL) is an emerging distributed machine learning meth...

0 Weiming Zhuang, et al. ∙

research

∙ 07/07/2022

Learning and generalization of one-hidden-layer neural networks, going beyond standard Gaussian data

This paper analyzes the convergence and generalization of training a one...

0 Hongkang Li, et al. ∙

research

∙ 07/03/2022

Chat-to-Design: AI Assisted Personalized Fashion Design

In this demo, we present Chat-to-Design, a new multimodal interaction sy...

0 Weiming Zhuang, et al. ∙

research

∙ 05/24/2022

Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis

The increasingly stringent data privacy regulations limit the developmen...

0 Weiming Zhuang, et al. ∙

research

∙ 05/23/2022

A Fine-grained Interpretability Evaluation Benchmark for Neural NLP

While there is increasing concern about the interpretability of neural m...

0 Lijie Wang, et al. ∙

research

∙ 04/22/2022

Modelling graph dynamics in fraud detection with "Attention"

At online retail platforms, detecting fraudulent accounts and transactio...

0 Susie Xi Rao, et al. ∙

research

∙ 04/09/2022

Divergence-aware Federated Self-Supervised Learning

Self-supervised learning (SSL) is capable of learning remarkable represe...

0 Weiming Zhuang, et al. ∙

research

∙ 04/09/2022

Federated Unsupervised Domain Adaptation for Face Recognition

Given labeled data in a source domain, unsupervised domain adaptation ha...

0 Weiming Zhuang, et al. ∙

research

∙ 02/17/2022

ADD 2022: the First Audio Deep Synthesis Detection Challenge

Audio deepfake detection is an emerging topic, which was included in the...

0 Jiangyan Yi, et al. ∙

research

∙ 01/28/2022

Reducing language context confusion for end-to-end code-switching automatic speech recognition

Code-switching is about dealing with alternative languages in the commun...

0 Shuai Zhang, et al. ∙

research

∙ 01/21/2022

How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis

Self-training, a semi-supervised learning algorithm, leverages a large a...

4 Shuai Zhang, et al. ∙

research

∙ 12/22/2021

An Efficient Pruning Process with Locality Aware Exploration and Dynamic Graph Editing for Subgraph Matching

Subgraph matching is a NP-complete problem that extracts isomorphic embe...

0 Zite Jiang, et al. ∙

research

∙ 10/12/2021

Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks

The lottery ticket hypothesis (LTH) states that learning on a properly p...

28 Shuai Zhang, et al. ∙

research

∙ 08/14/2021

Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification

Person re-identification (ReID) aims to re-identify a person from non-ov...

0 Weiming Zhuang, et al. ∙

research

∙ 08/14/2021

Collaborative Unsupervised Visual Representation Learning from Decentralized Data

Unsupervised representation learning has achieved outstanding performanc...

0 Weiming Zhuang, et al. ∙

research

∙ 05/19/2021

A Sequence-to-Set Network for Nested Named Entity Recognition

Named entity recognition (NER) is a widely studied task in natural langu...

0 Zeqi Tan, et al. ∙

research

∙ 05/17/2021

Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning

Unsupervised domain adaptation has been widely adopted to generalize mod...

0 Weiming Zhuang, et al. ∙

research

∙ 05/17/2021

EasyFL: A Low-code Federated Learning Platform For Dummies

Academia and industry have developed several platforms to support the po...

0 Weiming Zhuang, et al. ∙

research

∙ 05/14/2021

Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition

Named entity recognition (NER) is a well-studied task in natural languag...

0 Yongliang Shen, et al. ∙

research

∙ 04/07/2021

FSR: Accelerating the Inference Process of Transducer-Based Models by Applying Fast-Skip Regularization

Transducer-based models, such as RNN-Transducer and transformer-transduc...

0 Zhengkun Tian, et al. ∙

research

∙ 04/04/2021

TSNAT: Two-Step Non-Autoregressvie Transformer Models for Speech Recognition

The autoregressive (AR) models, such as attention-based encoder-decoder ...

0 Zhengkun Tian, et al. ∙

research

∙ 02/17/2021

Switch Spaces: Learning Product Spaces with Sparse Gating

Learning embedding spaces of suitable geometry is critical for represent...

6 Shuai Zhang, et al. ∙

research

∙ 02/17/2021

Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters

Recent works have demonstrated reasonable success of representation lear...

6 Aston Zhang, et al. ∙

research

∙ 02/15/2021

Fast End-to-End Speech Recognition via a Non-Autoregressive Model and Cross-Modal Knowledge Transferring from BERT

Attention-based encoder-decoder (AED) models have achieved promising per...

11 Ye Bai, et al. ∙

Shuai Zhang

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