Yu Gong | DeepAI

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Philip S. Yu
283 publications
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197 publications
Ming Li
178 publications
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107 publications
Ge Wang
85 publications
Shouling Ji
71 publications
Bo Yuan
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Ji Zhang
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Shanshan Wang
63 publications
Greg Mori
59 publications

∙ 04/27/2023

Human-machine knowledge hybrid augmentation method for surface defect detection based few-data learning

Visual-based defect detection is a crucial but challenging task in indus...

0 Yu Gong, et al. ∙

∙ 01/20/2023

HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks

Low-rank compression is an important model compression strategy for obta...

1 Jinqi Xiao, et al. ∙

∙ 12/05/2022

Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition

Long short-term memory (LSTM) is a type of powerful deep neural network ...

18 Yu Gong, et al. ∙

∙ 05/30/2022

RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression

Data imbalance, in which a plurality of the data samples come from a sma...

0 Yu Gong, et al. ∙

∙ 02/21/2022

GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction

Short video has witnessed rapid growth in China and shows a promising ma...

0 Sihao Hu, et al. ∙

∙ 12/15/2021

N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores

Accelerating the neural network inference by FPGA has emerged as a popul...

0 Yu Gong, et al. ∙

∙ 10/25/2021

MUSE: Feature Self-Distillation with Mutual Information and Self-Information

We present a novel information-theoretic approach to introduce dependenc...

6 Yu Gong, et al. ∙

∙ 04/02/2021

GRN: Generative Rerank Network for Context-wise Recommendation

Reranking is attracting incremental attention in the recommender systems...

0 Yufei Feng, et al. ∙

∙ 02/25/2021

Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data

Learning from heterogeneous data poses challenges such as combining data...

0 Yu Gong, et al. ∙

∙ 02/24/2021

Revisit Recommender System in the Permutation Prospective

Recommender systems (RS) work effective at alleviating information overl...

0 Yufei Feng, et al. ∙

∙ 12/22/2020

Personalized Adaptive Meta Learning for Cold-start User Preference Prediction

A common challenge in personalized user preference prediction is the col...

0 Runsheng Yu, et al. ∙

∙ 11/27/2020

Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning

Noises, artifacts, and loss of information caused by the magnetic resona...

0 Kehan Qi, et al. ∙

∙ 11/09/2020

Distant Supervision for E-commerce Query Segmentation via Attention Network

The booming online e-commerce platforms demand highly accurate approache...

0 Zhao Li, et al. ∙

∙ 08/19/2020

Balanced Order Batching with Task-Oriented Graph Clustering

Balanced order batching problem (BOBP) arises from the process of wareho...

0 Lu Duan, et al. ∙

∙ 05/18/2020

EdgeRec: Recommender System on Edge in Mobile Taobao

Recommender system (RS) has become crucial module in commercial systems....

0 Yu Gong, et al. ∙

∙ 10/13/2019

Parameter Constrained Transfer Learning for Low Dose PET Image Denoising

Positron emission tomography (PET) is widely used in clinical practice. ...

19 Yu Gong, et al. ∙

∙ 10/08/2019

Conceptualize and Infer User Needs in E-commerce

Understanding latent user needs beneath shopping behaviors is critical t...

0 Xusheng Luo, et al. ∙

∙ 06/24/2019

Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU

Recently, interactive recommender systems are becoming increasingly popu...

0 Yu Zhu, et al. ∙

∙ 05/17/2019

Exact-K Recommendation via Maximal Clique Optimization

This paper targets to a novel but practical recommendation problem named...

0 Yu Gong, et al. ∙

∙ 04/03/2019

Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce

Nowadays, more and more customers browse and purchase products in favor ...

0 Jian-Guo Zhang, et al. ∙

∙ 11/11/2018

Product Title Refinement via Multi-Modal Generative Adversarial Learning

Nowadays, an increasing number of customers are in favor of using E-comm...

0 Jianguo Zhang, et al. ∙

∙ 10/08/2018

Query Tracking for E-commerce Conversational Search: A Machine Comprehension Perspective

With the development of dialog techniques, conversational search has att...

0 Yunlun Yang, et al. ∙

∙ 03/30/2018

Automatic Generation of Chinese Short Product Titles for Mobile Display

This paper studies the problem of automatically extracting a short title...

0 Yu Gong, et al. ∙

∙ 03/30/2018

Deep Cascade Multi-task Learning for Slot Filling in Chinese E-commerce Shopping Guide Assistant

Slot filling is a critical task in natural language understanding (NLU) ...

0 Yu Gong, et al. ∙

∙ 03/02/2018

Representing Verbs as Argument Concepts

Verbs play an important role in the understanding of natural language te...

0 Yu Gong, et al. ∙