b'Chong Wang'

research

∙ 10/19/2022

Identifying the Impact of User Reviews on App Updates: An Exploratory Study on App Release Notes

Release planning for mobile apps has recently become an area of active r...

0 Tianyang Liu, et al. ∙

research

∙ 10/17/2022

The Role of User Reviews in App Updates: A Preliminary Investigation on App Release Notes

Release planning for mobile apps has recently become an area of active r...

0 Chong Wang, et al. ∙

research

∙ 09/26/2022

Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models

State-of-the-art (SOTA) deep learning mammogram classifiers, trained wit...

10 Chong Wang, et al. ∙

research

∙ 09/21/2022

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation

When analysing screening mammograms, radiologists can naturally process ...

14 Yuanhong Chen, et al. ∙

research

∙ 09/20/2022

Collaborative Anomaly Detection

In recommendation systems, items are likely to be exposed to various use...

0 Ke Bai, et al. ∙

research

∙ 08/25/2022

DPAUC: Differentially Private AUC Computation in Federated Learning

Federated learning (FL) has gained significant attention recently as a p...

2 Jiankai Sun, et al. ∙

research

∙ 07/25/2022

REPNP: Plug-and-Play with Deep Reinforcement Learning Prior for Robust Image Restoration

Image restoration schemes based on the pre-trained deep models have rece...

0 Chong Wang, et al. ∙

research

∙ 06/16/2022

Differentially Private Multi-Party Data Release for Linear Regression

Differentially Private (DP) data release is a promising technique to dis...

11 Ruihan Wu, et al. ∙

research

∙ 05/24/2022

Differentially Private AUC Computation in Vertical Federated Learning

Federated learning has gained great attention recently as a privacy-enha...

21 Jiankai Sun, et al. ∙

research

∙ 04/10/2022

Linear Complexity Randomized Self-attention Mechanism

Recently, random feature attentions (RFAs) are proposed to approximate t...

0 Lin Zheng, et al. ∙

research

∙ 03/28/2022

Translation Consistent Semi-supervised Segmentation for 3D Medical Images

3D medical image segmentation methods have been successful, but their de...

9 Yuyuan Liu, et al. ∙

research

∙ 03/04/2022

Differentially Private Label Protection in Split Learning

Split learning is a distributed training framework that allows multiple ...

0 Xin Yang, et al. ∙

research

∙ 03/02/2022

Label Leakage and Protection from Forward Embedding in Vertical Federated Learning

Vertical federated learning (vFL) has gained much attention and been dep...

0 Jiankai Sun, et al. ∙

research

∙ 03/02/2022

Counterfactually Evaluating Explanations in Recommender Systems

Modern recommender systems face an increasing need to explain their reco...

0 Yuanshun Yao, et al. ∙

research

∙ 01/28/2022

Learning to Simulate Unseen Physical Systems with Graph Neural Networks

Simulation of the dynamics of physical systems is essential to the devel...

0 Ce Yang, et al. ∙

research

∙ 11/30/2021

Learning Large-Time-Step Molecular Dynamics with Graph Neural Networks

Molecular dynamics (MD) simulation predicts the trajectory of atoms by s...

0 Tianze Zheng, et al. ∙

research

∙ 10/25/2021

Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data

We investigate the issue of parameter estimation with nonuniform negativ...

0 HaiYing Wang, et al. ∙

research

∙ 09/02/2021

Heterogeneous relational message passing networks for molecular dynamics simulations

With many frameworks based on message passing neural networks proposed t...

0 Zun Wang, et al. ∙

research

∙ 08/04/2021

Dynamic Relevance Learning for Few-Shot Object Detection

Expensive bounding-box annotations have limited the development of objec...

0 Weijie Liu, et al. ∙

research

∙ 08/04/2021

The Impact of Traceability on Software Maintenance and Evolution: A Mapping Study

Software traceability plays a critical role in software maintenance and ...

0 Fangchao Tian, et al. ∙

research

∙ 07/21/2021

Defending against Reconstruction Attack in Vertical Federated Learning

Recently researchers have studied input leakage problems in Federated Le...

0 Jiankai Sun, et al. ∙

research

∙ 07/15/2021

Characteristics and Challenges of Low-Code Development: The Practitioners' Perspective

Background: In recent years, Low-code development (LCD) is growing rapid...

0 Yajing Luo, et al. ∙

research

∙ 06/12/2021

AutoLoss: Automated Loss Function Search in Recommendations

Designing an effective loss function plays a crucial role in training de...

11 Xiangyu Zhao, et al. ∙

research

∙ 06/10/2021

Vertical Federated Learning without Revealing Intersection Membership

Vertical Federated Learning (vFL) allows multiple parties that own diffe...

0 Jiankai Sun, et al. ∙

research

∙ 04/06/2021

Efficient state and parameter estimation for high-dimensional nonlinear system identification with application to MEG brain network modeling

System identification poses a significant bottleneck to characterizing a...

0 Matthew F. Singh, et al. ∙

research

∙ 02/17/2021

Label Leakage and Protection in Two-party Split Learning

In vertical federated learning, two-party split learning has become an i...

0 Oscar Li, et al. ∙

research

∙ 01/08/2021

Symmetry-adapted graph neural networks for constructing molecular dynamics force fields

Molecular dynamics is a powerful simulation tool to explore material pro...

0 Zun Wang, et al. ∙

research

∙ 10/14/2020

Towards the Transportation Internet: Concepts, Architectures and Requirements

The Internet has become a general network design paradigm. The Energy In...

0 Hui Li, et al. ∙

research

∙ 08/23/2020

Towards Earnings Call and Stock Price Movement

Earnings calls are hosted by management of public companies to discuss t...

0 Zhiqiang Ma, et al. ∙

research

∙ 07/12/2020

Deep Retrieval: An End-to-End Learnable Structure Model for Large-Scale Recommendations

One of the core problems in large-scale recommendations is to retrieve t...

16 Weihao Gao, et al. ∙

research

∙ 02/26/2020

AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations

Deep learning based recommender systems (DLRSs) often have embedding lay...

1 Xiangyu Zhao, et al. ∙

research

∙ 01/30/2020

Learning to Structure Long-term Dependence for Sequential Recommendation

Sequential recommendation recommends items based on sequences of users' ...

0 Renqin Cai, et al. ∙

research

∙ 11/07/2019

Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing

Many multi-domain neural machine translation (NMT) models achieve knowle...

0 Haoming Jiang, et al. ∙

research

∙ 08/12/2019

Feature Partitioning for Efficient Multi-Task Architectures

Multi-task learning holds the promise of less data, parameters, and time...

4 Alejandro Newell, et al. ∙

research

∙ 04/26/2019

Neural Logic Machines

We propose the Neural Logic Machine (NLM), a neural-symbolic architectur...

0 Honghua Dong, et al. ∙

research

∙ 04/12/2019

Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation

Accurate multi-organ abdominal CT segmentation is essential to many clin...

0 Yuyin Zhou, et al. ∙

research

∙ 01/30/2019

Doubly Sparse: Sparse Mixture of Sparse Experts for Efficient Softmax Inference

Computations for the softmax function are significantly expensive when t...

0 Shun Liao, et al. ∙

research

∙ 11/06/2018

Neural Phrase-to-Phrase Machine Translation

In this paper, we propose Neural Phrase-to-Phrase Machine Translation (N...

0 Jiangtao Feng, et al. ∙

research

∙ 10/10/2018

Fully Supervised Speaker Diarization

In this paper, we propose a fully supervised speaker diarization approac...

0 Aonan Zhang, et al. ∙

research

∙ 10/09/2018

Rate Distortion For Model Compression: From Theory To Practice

As the size of neural network models increases dramatically today, study...

0 Weihao Gao, et al. ∙

research

∙ 04/20/2018

Subgoal Discovery for Hierarchical Dialogue Policy Learning

Developing conversational agents to engage in complex dialogues is chall...

0 Da Tang, et al. ∙

research

∙ 03/10/2018

Attention-based Graph Neural Network for Semi-supervised Learning

Recently popularized graph neural networks achieve the state-of-the-art ...

0 Kiran K. Thekumparampil, et al. ∙

research

∙ 11/17/2017

Thoracic Disease Identification and Localization with Limited Supervision

Accurate identification and localization of abnormalities from radiology...

0 Zhe Li, et al. ∙

research

∙ 09/09/2017

How to Train Triplet Networks with 100K Identities?

Training triplet networks with large-scale data is challenging in face r...

0 Chong Wang, et al. ∙

research

∙ 09/09/2017

Model Distillation with Knowledge Transfer from Face Classification to Alignment and Verification

Knowledge distillation is a potential solution for model compression. Th...

0 Chong Wang, et al. ∙

research

∙ 06/17/2017

Towards Neural Phrase-based Machine Translation

In this paper, we present Neural Phrase-based Machine Translation (NPMT)...

0 Po-Sen Huang, et al. ∙

research

∙ 02/28/2017

Scaffolding Networks: Incremental Learning and Teaching Through Questioning

We introduce a new paradigm of learning for reasoning, understanding, an...

0 Asli Celikyilmaz, et al. ∙

research

∙ 02/24/2017

Sequence Modeling via Segmentations

Segmental structure is a common pattern in many types of sequences such ...

0 Chong Wang, et al. ∙

research

∙ 11/05/2016

TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency

In this paper, we propose TopicRNN, a recurrent neural network (RNN)-bas...

0 Adji B. Dieng, et al. ∙

research

∙ 12/10/2015

Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums

Online discussion forums are complex webs of overlapping subcommunities ...

0 Abhimanu Kumar, et al. ∙

Chong Wang

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