b'Cheng Zhang'

research

∙ 03/11/2021

Holistic 3D Scene Understanding from a Single Image with Implicit Representation

We present a new pipeline for holistic 3D scene understanding from a sin...

47 Cheng Zhang, et al. ∙

research

∙ 02/24/2021

TeethTap: Recognizing Discrete Teeth Gestures Using Motion and Acoustic Sensing on an Earpiece

Teeth gestures become an alternative input modality for different situat...

0 Wei Sun, et al. ∙

research

∙ 02/22/2021

WLAN-Log-Based Superspreader Detection in the COVID-19 Pandemic

Identifying "superspreaders" of disease is a pressing concern for societ...

0 Cheng Zhang, et al. ∙

research

∙ 02/17/2021

A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection

Object frequencies in daily scenes follow a long-tailed distribution. Ma...

14 Cheng Zhang, et al. ∙

research

∙ 01/22/2021

Estimating α-Rank by Maximizing Information Gain

Game theory has been increasingly applied in settings where the game is ...

7 Tabish Rashid, et al. ∙

research

∙ 12/01/2020

Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows

Variational Bayesian phylogenetic inference (VBPI) provides a promising ...

0 Cheng Zhang, et al. ∙

research

∙ 11/26/2020

True-data Testbed for 5G/B5G Intelligent Network

Future beyond fifth-generation (B5G) and sixth-generation (6G) mobile co...

0 Yongming Huang, et al. ∙

research

∙ 11/02/2020

Reinforcement Learning with Efficient Active Feature Acquisition

Solving real-life sequential decision making problems under partial obse...

0 Haiyan Yin, et al. ∙

research

∙ 10/28/2020

A Study on Efficiency in Continual Learning Inspired by Human Learning

Humans are efficient continual learning systems; we continually learn ne...

0 Philip J. Ball, et al. ∙

research

∙ 10/23/2020

Generating Adequate Distractors for Multiple-Choice Questions

This paper presents a novel approach to automatic generation of adequate...

0 Cheng Zhang, et al. ∙

research

∙ 10/23/2020

Extracting Body Text from Academic PDF Documents for Text Mining

Accurate extraction of body text from PDF-formatted academic documents i...

0 Changfeng Yu, et al. ∙

research

∙ 10/21/2020

How Do Fair Decisions Fare in Long-term Qualification?

Although many fairness criteria have been proposed for decision making, ...

0 Xueru Zhang, et al. ∙

research

∙ 10/15/2020

Progressive Defense Against Adversarial Attacks for Deep Learning as a Service in Internet of Things

Nowadays, Deep Learning as a service can be deployed in Internet of Thin...

0 Ling Wang, et al. ∙

research

∙ 10/04/2020

Weakly-supervised Fine-grained Event Recognition on Social Media Texts for Disaster Management

People increasingly use social media to report emergencies, seek help or...

0 Wenlin Yao, et al. ∙

research

∙ 10/04/2020

Meta Sequence Learning and Its Applications

We present a meta-sequence representation of sentences and demonstrate h...

0 Cheng Zhang, et al. ∙

research

∙ 08/09/2020

Intervention Generative Adversarial Networks

In this paper we propose a novel approach for stabilizing the training p...

24 Jiadong Liang, et al. ∙

research

∙ 07/23/2020

Hide-and-Seek Privacy Challenge

The clinical time-series setting poses a unique combination of challenge...

11 James Jordon, et al. ∙

research

∙ 07/23/2020

Diagnostic Questions:The NeurIPS 2020 Education Challenge

Digital technologies are becoming increasingly prevalent in education, e...

0 Zichao Wang, et al. ∙

research

∙ 07/16/2020

DRIFT: Deep Reinforcement Learning for Functional Software Testing

Efficient software testing is essential for productive software developm...

32 Luke Harries, et al. ∙

research

∙ 07/06/2020

Meta-Learning for Variational Inference

Variational inference (VI) plays an essential role in approximate Bayesi...

19 Ruqi Zhang, et al. ∙

research

∙ 06/23/2020

ACOUSTIC-TURF: Acoustic-based Privacy-Preserving COVID-19 Contact Tracing

In this paper, we propose a new privacy-preserving, automated contact tr...

0 Yuxiang Luo, et al. ∙

research

∙ 06/21/2020

VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data

Deep generative models often perform poorly in real-world applications d...

14 Chao Ma, et al. ∙

research

∙ 06/13/2020

Dynamic gesture retrieval: searching videos by human pose sequence

The number of static human poses is limited, it is hard to retrieve the ...

9 Cheng Zhang, et al. ∙

research

∙ 06/07/2020

Thoracic Disease Identification and Localization using Distance Learning and Region Verification

The identification and localization of diseases in medical images using ...

10 Cheng Zhang, et al. ∙

research

∙ 05/20/2020

Attention-based network for low-light image enhancement

The captured images under low light conditions often suffer insufficient...

50 Cheng Zhang, et al. ∙

research

∙ 05/03/2020

A Causal View on Robustness of Neural Networks

We present a causal view on the robustness of neural networks against in...

22 Cheng Zhang, et al. ∙

research

∙ 04/06/2020

Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight

Current state-of-the-art neural dialogue models learn from human convers...

9 Hengyi Cai, et al. ∙

research

∙ 03/12/2020

Large-Scale Educational Question Analysis with Partial Variational Auto-encoders

Online education platforms enable teachers to share a large number of ed...

0 Zichao Wang, et al. ∙

research

∙ 03/02/2020

Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation

Current state-of-the-art neural dialogue systems are mainly data-driven ...

0 Hengyi Cai, et al. ∙

research

∙ 02/18/2020

Assessing the Memory Ability of Recurrent Neural Networks

It is known that Recurrent Neural Networks (RNNs) can remember, in their...

22 Cheng Zhang, et al. ∙

research

∙ 01/18/2020

Adaptive Parameterization for Neural Dialogue Generation

Neural conversation systems generate responses based on the sequence-to-...

0 Hengyi Cai, et al. ∙

research

∙ 12/27/2019

On the identifiability of interaction functions in systems of interacting particles

Identifiability is of fundamental importance in the statistical learning...

0 Zhongyang Li, et al. ∙

research

∙ 10/28/2019

Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck

The ability for policies to generalize to new environments is key to the...

16 Maximilian Igl, et al. ∙

research

∙ 09/30/2019

Tightening Bounds for Variational Inference by Revisiting Perturbation Theory

Variational inference has become one of the most widely used methods in ...

19 Robert Bamler, et al. ∙

research

∙ 07/28/2019

An Empirical Study on Leveraging Scene Graphs for Visual Question Answering

Visual question answering (Visual QA) has attracted significant attentio...

0 Cheng Zhang, et al. ∙

research

∙ 06/04/2019

Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation

Discovery of causal relations from observational data is essential for m...

1 Ruibo Tu, et al. ∙

research

∙ 05/07/2019

Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care

Clinical decision making is challenging because of pathological complexi...

12 Anna-Lena Popkes, et al. ∙

research

∙ 01/03/2019

A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels

Image classification models built into visual support systems and other ...

4 Marcus Klasson, et al. ∙

research

∙ 09/28/2018

EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE

Making decisions requires information relevant to the task at hand. Many...

6 Chao Ma, et al. ∙

research

∙ 08/11/2018

Learning Discriminative 3D Shape Representations by View Discerning Networks

In view-based 3D shape recognition, extracting discriminative visual rep...

0 Biao Leng, et al. ∙

research

∙ 07/11/2018

Causal discovery in the presence of missing data

Missing data are ubiquitous in many domains such as healthcare. Dependin...

6 Ruibo Tu, et al. ∙

research

∙ 05/28/2018

Non-bifurcating phylogenetic tree inference via the adaptive LASSO

Phylogenetic tree inference using deep DNA sequencing is reshaping our u...

0 Cheng Zhang, et al. ∙

research

∙ 05/20/2018

Generalizing Tree Probability Estimation via Bayesian Networks

Probability estimation is one of the fundamental tasks in statistics and...

0 Cheng Zhang, et al. ∙

research

∙ 04/13/2018

Non-rigid image registration using spatially region-weighted correlation ratio and GPU-acceleration

Objective: Non-rigid image registration with high accuracy and efficienc...

0 Lun Gong, et al. ∙

research

∙ 04/08/2018

Active Mini-Batch Sampling using Repulsive Point Processes

The convergence speed of stochastic gradient descent (SGD) can be improv...

0 Cheng Zhang, et al. ∙

research

∙ 02/02/2018

Signal Processing for MIMO-NOMA: Present and Future Challenges

Non-orthogonal multiple access (NOMA), as the newest member of the multi...

0 Yongming Huang, et al. ∙

research

∙ 01/30/2018

Cost- and Energy-Aware Multi-Flow Mobile Data Offloading Using Markov Decision Process

With the rapid increase in demand for mobile data, mobile network operat...

0 Cheng Zhang, et al. ∙

research

∙ 01/30/2018

A Deep Reinforcement Learning Based Approach for Cost- and Energy-Aware Multi-Flow Mobile Data Offloading

With the rapid increase in demand for mobile data, mobile network operat...

0 Cheng Zhang, et al. ∙

research

∙ 11/29/2017

Causality Refined Diagnostic Prediction

Applying machine learning in the health care domain has shown promising ...

0 Marcus Klasson, et al. ∙

research

∙ 11/15/2017

Advances in Variational Inference

Many modern unsupervised or semi-supervised machine learning algorithms ...

0 Cheng Zhang, et al. ∙

Cheng Zhang

Featured Co-authors