Yu Cheng

EnlightenGAN: Deep Light Enhancement without Paired Supervision

Deep learning-based methods have achieved remarkable success in image re...
06/17/2019 ∙ by Yifan Jiang, et al. ∙ 26 ∙ share

read it
VIOLIN: A Large-Scale Dataset for Video-and-Language Inference

We introduce a new task, Video-and-Language Inference, for joint multimo...
03/25/2020 ∙ by Jingzhou Liu, et al. ∙ 17 ∙ share

read it
Bridging Disentanglement with Independence and Conditional Independence via Mutual Information for Representation Learning

Existing works on disentangled representation learning usually lie on a ...
11/25/2019 ∙ by Xiaojiang Yang, et al. ∙ 12 ∙ share

read it
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning

Pretrained models from self-supervision are prevalently used in fine-tun...
03/28/2020 ∙ by Tianlong Chen, et al. ∙ 11 ∙ share

read it
Mixed-Supervised Dual-Network for Medical Image Segmentation

Deep learning-based medical image segmentation models usually require la...
07/24/2019 ∙ by Duo Wang, et al. ∙ 9 ∙ share

read it
Few-shot Learning with Meta Metric Learners

Few-shot Learning aims to learn classifiers for new classes with only a ...
01/26/2019 ∙ by Yu Cheng, et al. ∙ 8 ∙ share

read it
BachGAN: High-Resolution Image Synthesis from Salient Object Layout

We propose a new task towards more practical application for image gener...
03/26/2020 ∙ by Yandong Li, et al. ∙ 7 ∙ share

read it
Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs

Crowd counting is a challenging task due to the large variations in crow...
08/07/2019 ∙ by Zhikang Zou, et al. ∙ 4 ∙ share

read it
Defending Against DDoS Attacks in Bloom Filter based Multicasting

This paper analyze security issues of Bloom filter based multicast forwa...
04/20/2015 ∙ by Xiaohua Tian, et al. ∙ 0 ∙ share

read it
Sobolev GAN

We propose a new Integral Probability Metric (IPM) between distributions...
11/14/2017 ∙ by Youssef Mroueh, et al. ∙ 0 ∙ share

read it
A Survey of Model Compression and Acceleration for Deep Neural Networks

Deep convolutional neural networks (CNNs) have recently achieved great s...
10/23/2017 ∙ by Yu Cheng, et al. ∙ 0 ∙ share

read it
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records

The rapid growth of Electronic Health Records (EHRs), as well as the acc...
09/06/2017 ∙ by Zhengping Che, et al. ∙ 0 ∙ share

read it
Of the People: Voting Is More Effective with Representative Candidates

In light of the classic impossibility results of Arrow and Gibbard and S...
05/04/2017 ∙ by Yu Cheng, et al. ∙ 0 ∙ share

read it
Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification

Person Re-Identification (person re-id) is a crucial task as its applica...
08/03/2017 ∙ by Shuangjie Xu, et al. ∙ 0 ∙ share

read it
MMD GAN: Towards Deeper Understanding of Moment Matching Network

Generative moment matching network (GMMN) is a deep generative model tha...
05/24/2017 ∙ by Chun-Liang Li, et al. ∙ 0 ∙ share

read it
Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding

The widespread availability of electronic health records (EHRs) promises...
01/25/2017 ∙ by Zhengping Che, et al. ∙ 0 ∙ share

read it
Deep Structured Energy Based Models for Anomaly Detection

In this paper, we attack the anomaly detection problem by directly model...
05/25/2016 ∙ by Shuangfei Zhai, et al. ∙ 0 ∙ share

read it
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification

Multi-task learning aims to improve generalization performance of multip...
11/16/2016 ∙ by Yongxi Lu, et al. ∙ 0 ∙ share

read it
S3Pool: Pooling with Stochastic Spatial Sampling

Feature pooling layers (e.g., max pooling) in convolutional neural netwo...
11/16/2016 ∙ by Shuangfei Zhai, et al. ∙ 0 ∙ share

read it
Spectral Sparsification of Random-Walk Matrix Polynomials

We consider a fundamental algorithmic question in spectral graph theory:...
02/12/2015 ∙ by Dehua Cheng, et al. ∙ 0 ∙ share

read it
Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data

The way people look in terms of facial attributes (ethnicity, hair color...
04/21/2016 ∙ by Jing Wang, et al. ∙ 0 ∙ share

read it
Scalable Parallel Factorizations of SDD Matrices and Efficient Sampling for Gaussian Graphical Models

Motivated by a sampling problem basic to computational statistical infer...
10/20/2014 ∙ by Dehua Cheng, et al. ∙ 0 ∙ share

read it
An exploration of parameter redundancy in deep networks with circulant projections

We explore the redundancy of parameters in deep neural networks by repla...
02/11/2015 ∙ by Yu Cheng, et al. ∙ 0 ∙ share

read it
Deep Nearest Class Mean Model for Incremental Odor Classification

In recent years, more and more machine learning algorithms have been app...
01/08/2018 ∙ by Yu Cheng, et al. ∙ 0 ∙ share

read it
Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond

State-of-the-art pedestrian detection models have achieved great success...
04/05/2018 ∙ by Xi Ouyang, et al. ∙ 0 ∙ share

read it
Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing

Despite the noticeable progress in perceptual tasks like detection, inst...
04/10/2018 ∙ by Jian Zhao, et al. ∙ 0 ∙ share

read it
On the Distortion of Voting with Multiple Representative Candidates

We study positional voting rules when candidates and voters are embedded...
11/21/2017 ∙ by Yu Cheng, et al. ∙ 0 ∙ share

read it
Non-Convex Matrix Completion Against a Semi-Random Adversary

Matrix completion is a well-studied problem with many machine learning a...
03/28/2018 ∙ by Yu Cheng, et al. ∙ 0 ∙ share

read it
Dialog-based Interactive Image Retrieval

Existing methods for interactive image retrieval have demonstrated the m...
05/01/2018 ∙ by Xiaoxiao Guo, et al. ∙ 0 ∙ share

read it
A Deterministic Protocol for Sequential Asymptotic Learning

In the classic herding model, agents receive private signals about an un...
01/09/2018 ∙ by Yu Cheng, et al. ∙ 0 ∙ share

read it
Beamforming Design for Max-Min Fair SWIPT in Green Cloud-RAN with Wireless Fronthaul

In this paper, a joint beamforming design for max-min fair simultaneous ...
05/06/2018 ∙ by Zhao Chen, et al. ∙ 0 ∙ share

read it
A Hybrid Approach for Efficient Wireless Information and Power Transfer in Green C-RAN

In this paper, we consider a green cloud radio access network (C-RAN) wi...
03/28/2018 ∙ by Xu Li, et al. ∙ 0 ∙ share

read it
Diverse Few-Shot Text Classification with Multiple Metrics

We study few-shot learning in natural language domains. Compared to many...
05/19/2018 ∙ by Mo Yu, et al. ∙ 0 ∙ share

read it
Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification

We tackle the problem of person re-identification in video setting in th...
07/16/2018 ∙ by Xinxing Su, et al. ∙ 0 ∙ share

read it
A Stochastic Geometry Analysis of Energy Harvesting in Large Scale Wireless Networks

In this paper, the theoretical sustainable capacity of wireless networks...
06/02/2018 ∙ by Ziru Chen, et al. ∙ 0 ∙ share

read it
Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition

Despite the remarkable progress in face recognition related technologies...
09/02/2018 ∙ by Jian Zhao, et al. ∙ 0 ∙ share

read it
A Simple Mechanism for a Budget-Constrained Buyer

We study a classic Bayesian mechanism design setting of monopoly problem...
09/13/2018 ∙ by Yu Cheng, et al. ∙ 0 ∙ share

read it
Bayesian CycleGAN via Marginalizing Latent Sampling

Recent techniques built on Generative Adversarial Networks (GANs) like C...
11/19/2018 ∙ by Haoran You, et al. ∙ 0 ∙ share

read it
StoryGAN: A Sequential Conditional GAN for Story Visualization

In this work we propose a new task called Story Visualization. Given a m...
12/06/2018 ∙ by Yitong Li, et al. ∙ 0 ∙ share

read it
Throughput Analysis and Energy Efficiency Optimization for Standalone LTE-U Networks with Randomly Delayed CSI

To coexist with Wi-Fi friendly, a standalone long-term evolution network...
10/12/2018 ∙ by Hangguan Shan, et al. ∙ 0 ∙ share

read it
A Unified Sampling and Scheduling Approach for Status Update in Multiaccess Wireless Networks

Information source sampling and update scheduling have been treated sepa...
12/13/2018 ∙ by Zhiyuan Jiang, et al. ∙ 0 ∙ share

read it
Sequential Attention GAN for Interactive Image Editing via Dialogue

In this paper, we introduce a new task - interactive image editing via c...
12/20/2018 ∙ by Yu Cheng, et al. ∙ 0 ∙ share

read it
High-Dimensional Robust Mean Estimation in Nearly-Linear Time

We study the fundamental problem of high-dimensional mean estimation in ...
11/23/2018 ∙ by Yu Cheng, et al. ∙ 0 ∙ share

read it
Deep Multimodality Model for Multi-task Multi-view Learning

Many real-world problems exhibit the coexistence of multiple types of he...
01/25/2019 ∙ by Lecheng Zheng, et al. ∙ 0 ∙ share

read it
Energy Efficient Massive MIMO through Distributed Precoder Design

This paper presents an energy-efficient downlink precoding scheme with t...
12/25/2018 ∙ by Shuai Zhang, et al. ∙ 0 ∙ share

read it
Diffie-Hellman in the Air: A Link Layer Approach for In-Band Wireless Pairing

Key establishment is one fundamental issue in wireless security. The wid...
01/28/2019 ∙ by Wenlong Shen, et al. ∙ 0 ∙ share

read it
Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding

Evaluating the clinical similarities between pairwise patients is a fund...
02/09/2019 ∙ by Zihao Zhu, et al. ∙ 0 ∙ share

read it
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog

This paper presents Recurrent Dual Attention Network (ReDAN) for visual ...
02/01/2019 ∙ by Zhe Gan, et al. ∙ 0 ∙ share

read it
POP-CNN: Predicting Odor's Pleasantness with Convolutional Neural Network

Predicting odor's pleasantness simplifies the evaluation of odors and ha...
03/19/2019 ∙ by Danli Wu, et al. ∙ 0 ∙ share

read it
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning

Few-shot learning aims to learn classifiers for new classes with only a ...
04/04/2019 ∙ by Duo Wang, et al. ∙ 0 ∙ share

read it

Yu Cheng

Featured Co-authors