Yang Yu

Error Bounds of Imitating Policies and Environments

Imitation learning trains a policy by mimicking expert demonstrations. V...
10/22/2020 ∙ by Tian Xu, et al. ∙ 0 ∙ share

read it
Difference-in-Differences: Bridging Normalization and Disentanglement in PG-GAN

What mechanisms causes GAN's entanglement? Although developing disentang...
10/16/2020 ∙ by Xiao Liu, et al. ∙ 0 ∙ share

read it
TurboTransformers: An Efficient GPU Serving System For Transformer Models

The transformer is the most critical algorithm innovation of the Nature ...
10/09/2020 ∙ by Jiarui Fang, et al. ∙ 0 ∙ share

read it
Reinforced Epidemic Control: Saving Both Lives and Economy

Saving lives or economy is a dilemma for epidemic control in most cities...
08/04/2020 ∙ by Sirui Song, et al. ∙ 0 ∙ share

read it
QPLEX: Duplex Dueling Multi-Agent Q-Learning

We explore value-based multi-agent reinforcement learning (MARL) in the ...
08/03/2020 ∙ by Jianhao Wang, et al. ∙ 0 ∙ share

read it
Local Neighbor Propagation Embedding

Manifold Learning occupies a vital role in the field of nonlinear dimens...
06/29/2020 ∙ by Shenglan Liu, et al. ∙ 0 ∙ share

read it
Hercules: An Autonomous Logistic Vehicle for Contact-less Goods Transportation During the COVID-19 Outbreak

Since December 2019, the coronavirus disease 2019 (COVID-19) has spread ...
04/16/2020 ∙ by Tianyu Liu, et al. ∙ 9 ∙ share

read it
Validation Set Evaluation can be Wrong: An Evaluator-Generator Approach for Maximizing Online Performance of Ranking in E-commerce

Learning-to-rank (LTR) has become a key technology in E-commerce applica...
03/25/2020 ∙ by Guangda Huzhang, et al. ∙ 0 ∙ share

read it
Beyond the Ground-Truth: An Evaluator-Generator Framework for Group-wise Learning-to-Rank in E-Commerce

Learning-to-rank (LTR) has become a key technology in E-commerce applica...
03/25/2020 ∙ by Guangda Huzhang, et al. ∙ 0 ∙ share

read it
Design of Convergence-Optimized Non-binary LDPC Codes over Binary Erasure Channel

In this letter, we present a hybrid iterative decoder for non-binary low...
03/03/2020 ∙ by Yang Yu, et al. ∙ 0 ∙ share

read it
Novelty-Prepared Few-Shot Classification

Few-shot classification algorithms can alleviate the data scarceness iss...
03/01/2020 ∙ by Chao Wang, et al. ∙ 0 ∙ share

read it
Simultaneous Inference for Massive Data: Distributed Bootstrap

In this paper, we propose a bootstrap method applied to massive data pro...
02/19/2020 ∙ by Yang Yu, et al. ∙ 0 ∙ share

read it
Residual Bootstrap Exploration for Bandit Algorithms

In this paper, we propose a novel perturbation-based exploration method ...
02/19/2020 ∙ by Chi-Hua Wang, et al. ∙ 0 ∙ share

read it
Temporal-adaptive Hierarchical Reinforcement Learning

Hierarchical reinforcement learning (HRL) helps address large-scale and ...
02/06/2020 ∙ by Wen-Ji Zhou, et al. ∙ 0 ∙ share

read it
Robust Data-driven Profile-based Pricing Schemes

To enable an efficient electricity market, a good pricing scheme is of v...
12/12/2019 ∙ by Jingshi Cui, et al. ∙ 0 ∙ share

read it
Optimal Electricity Storage Sharing Mechanism for Single Peaked Time-of-Use Pricing Scheme

Sharing economy has disrupted many industries. We foresee that electrici...
12/07/2019 ∙ by Kui Wang, et al. ∙ 0 ∙ share

read it
A Data-driven Storage Control Framework for Dynamic Pricing

Dynamic pricing is both an opportunity and a challenge to the demand sid...
12/01/2019 ∙ by Jiaman Wu, et al. ∙ 0 ∙ share

read it
Improving Fictitious Play Reinforcement Learning with Expanding Models

Fictitious play with reinforcement learning is a general and effective f...
11/27/2019 ∙ by Rong-Jun Qin, et al. ∙ 0 ∙ share

read it
Vulnerability Analysis for Data Driven Pricing Schemes

Data analytics and machine learning techniques are being rapidly adopted...
11/18/2019 ∙ by Jingshi Cui, et al. ∙ 0 ∙ share

read it
On Value Discrepancy of Imitation Learning

Imitation learning trains a policy from expert demonstrations. Imitation...
11/16/2019 ∙ by Tian Xu, et al. ∙ 0 ∙ share

read it
Debugging Crashes using Continuous Contrast Set Mining

Facebook operates a family of services used by over two billion people d...
11/12/2019 ∙ by Rebecca Qian, et al. ∙ 0 ∙ share

read it
Rule Designs for Optimal Online Game Matchmaking

Online games are the most popular form of entertainment among youngsters...
11/09/2019 ∙ by Mingkuan Xu, et al. ∙ 0 ∙ share

read it
Conductor Galloping Prediction on Imbalanced Datasets: SVM with Smart Sampling

Conductor galloping is the high-amplitude, low-frequency oscillation of ...
11/09/2019 ∙ by Kui Wang, et al. ∙ 0 ∙ share

read it
Signal Combination for Language Identification

Google's multilingual speech recognition system combines low-level acous...
10/21/2019 ∙ by Shengye Wang, et al. ∙ 0 ∙ share

read it
Hierarchic Neighbors Embedding

Manifold learning now plays a very important role in machine learning an...
09/16/2019 ∙ by Shenglan Liu, et al. ∙ 14 ∙ share

read it
LabelECG: A Web-based Tool for Distributed Electrocardiogram Annotation

Electrocardiography plays an essential role in diagnosing and screening ...
08/19/2019 ∙ by Zijian Ding, et al. ∙ 0 ∙ share

read it
On the Robustness of Median Sampling in Noisy Evolutionary Optimization

In real-world optimization tasks, the objective (i.e., fitness) function...
07/28/2019 ∙ by Chao Bian, et al. ∙ 0 ∙ share

read it
Towards AutoML in the presence of Drift: first results

Research progress in AutoML has lead to state of the art solutions that ...
07/24/2019 ∙ by Jorge G. Madrid, et al. ∙ 0 ∙ share

read it
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation

Reinforcement learning aims at searching the best policy model for decis...
07/12/2019 ∙ by Wenjie Shang, et al. ∙ 4 ∙ share

read it
Key Ingredients of Self-Driving Cars

Over the past decade, many research articles have been published in the ...
06/07/2019 ∙ by Rui Fan, et al. ∙ 0 ∙ share

read it
Knowledge-augmented Column Networks: Guiding Deep Learning with Advice

Recently, deep models have had considerable success in several tasks, es...
05/31/2019 ∙ by Mayukh Das, et al. ∙ 0 ∙ share

read it
Reinforcement Learning Experience Reuse with Policy Residual Representation

Experience reuse is key to sample-efficient reinforcement learning. One ...
05/31/2019 ∙ by Wen-Ji Zhou, et al. ∙ 0 ∙ share

read it
Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit

An automatic machine learning (AutoML) task is to select the best algori...
05/31/2019 ∙ by Yi-Qi Hu, et al. ∙ 0 ∙ share

read it
Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images

Goal: Squamous cell carcinoma of cervix is one of the most prevalent can...
05/27/2019 ∙ by Ye Tian, et al. ∙ 0 ∙ share

read it
Automatic Calibration of Multiple 3D LiDARs in Urban Environments

Multiple LiDARs have progressively emerged on autonomous vehicles for re...
05/13/2019 ∙ by Jianhao Jiao, et al. ∙ 0 ∙ share

read it
A Novel Dual-Lidar Calibration Algorithm Using Planar Surfaces

Multiple lidars are prevalently used on mobile vehicles for rendering a ...
04/27/2019 ∙ by Jianhao Jiao, et al. ∙ 0 ∙ share

read it
Human-Guided Learning of Column Networks: Augmenting Deep Learning with Advice

Recently, deep models have been successfully applied in several applicat...
04/15/2019 ∙ by Mayukh Das, et al. ∙ 0 ∙ share

read it
Efficient Reinforcement Learning with a Mind-Game for Full-Length StarCraft II

StarCraft II provides an extremely challenging platform for reinforcemen...
03/02/2019 ∙ by Ruo-Ze Liu, et al. ∙ 0 ∙ share

read it
PointIT: A Fast Tracking Framework Based on 3D Instance Segmentation

Recently most popular tracking frameworks focus on 2D image sequences. T...
02/18/2019 ∙ by Yuan Wang, et al. ∙ 0 ∙ share

read it
An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain

In this paper, we present a generative retrieval method for sponsored se...
02/02/2019 ∙ by Yijiang Lian, et al. ∙ 0 ∙ share

read it
Tuplemax Loss for Language Identification

In many scenarios of a language identification task, the user will speci...
11/29/2018 ∙ by Li Wan, et al. ∙ 0 ∙ share

read it
Analysis of Noisy Evolutionary Optimization When Sampling Fails

In noisy evolutionary optimization, sampling is a common strategy to dea...
10/11/2018 ∙ by Chao Qian, et al. ∙ 0 ∙ share

read it
On Reinforcement Learning for Full-length Game of StarCraft

StarCraft II poses a grand challenge for reinforcement learning. The mai...
09/23/2018 ∙ by Zhen-Jia Pang, et al. ∙ 0 ∙ share

read it
Multi-Layered Gradient Boosting Decision Trees

Multi-layered representation is believed to be the key ingredient of dee...
05/31/2018 ∙ by Ji Feng, et al. ∙ 0 ∙ share

read it
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning

Applying reinforcement learning in physical-world tasks is extremely cha...
05/25/2018 ∙ by Jing-Cheng Shi, et al. ∙ 0 ∙ share

read it
WikiRank: Improving Keyphrase Extraction Based on Background Knowledge

Keyphrase is an efficient representation of the main idea of documents. ...
03/23/2018 ∙ by Yang Yu, et al. ∙ 0 ∙ share

read it
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application

In e-commerce platforms such as Amazon and TaoBao, ranking items in a se...
03/02/2018 ∙ by Yujing Hu, et al. ∙ 0 ∙ share

read it
Accelerating E-Commerce Search Engine Ranking by Contextual Factor Selection

In industrial large-scale search systems, such as Taobao.com search for ...
03/02/2018 ∙ by Yusen Zhan, et al. ∙ 0 ∙ share

read it
Knowledge Base Relation Detection via Multi-View Matching

Relation detection is a core component for Knowledge Base Question Answe...
03/01/2018 ∙ by Yang Yu, et al. ∙ 0 ∙ share

read it
Tunneling Neural Perception and Logic Reasoning through Abductive Learning

Perception and reasoning are basic human abilities that are seamlessly c...
02/04/2018 ∙ by Wang-Zhou Dai, et al. ∙ 0 ∙ share

read it

Yang Yu

Featured Co-authors