Kan Ren | DeepAI

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Bo Li
461 publications
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360 publications
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231 publications
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146 publications
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134 publications
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128 publications
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123 publications
Dongsheng Li
104 publications
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∙ 07/27/2023

Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals

Seeing is believing, however, the underlying mechanism of how human visu...

0 Yu-Ting Lan, et al. ∙

∙ 07/02/2023

Is Risk-Sensitive Reinforcement Learning Properly Resolved?

Due to the nature of risk management in learning applicable policies, ri...

0 Ruiwen Zhou, et al. ∙

∙ 01/29/2023

Towards Inference Efficient Deep Ensemble Learning

Ensemble methods can deliver surprising performance gains but also bring...

0 Ziyue Li, et al. ∙

∙ 10/12/2022

Reinforcement Learning with Automated Auxiliary Loss Search

A good state representation is crucial to solving complicated reinforcem...

0 Tairan He, et al. ∙

∙ 09/01/2022

Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution

The distribution shifts between training and test data typically undermi...

0 Wang Lu, et al. ∙

∙ 06/17/2022

Bootstrapped Transformer for Offline Reinforcement Learning

Offline reinforcement learning (RL) aims at learning policies from previ...

0 Kerong Wang, et al. ∙

∙ 03/09/2022

Domain Generalization using Pretrained Models without Fine-tuning

Fine-tuning pretrained models is a common practice in domain generalizat...

0 Ziyue Li, et al. ∙

∙ 11/16/2021

Towards Generating Real-World Time Series Data

Time series data generation has drawn increasing attention in recent yea...

0 Hengzhi Pei, et al. ∙

∙ 10/11/2020

Infrared target tracking based on proximal robust principal component analysis method

Infrared target tracking plays an important role in both civil and milit...

0 Chao Ma, et al. ∙

∙ 06/18/2020

Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning

Interactive recommender system (IRS) has drawn huge attention because of...

0 Sijin Zhou, et al. ∙

∙ 11/10/2019

Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling

Sequential recommendation task aims to predict user preference over item...

0 Jiarui Qin, et al. ∙

∙ 05/07/2019

Deep Landscape Forecasting for Real-time Bidding Advertising

The emergence of real-time auction in online advertising has drawn huge ...

0 Kan Ren, et al. ∙

∙ 05/02/2019

Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction

User response prediction, which models the user preference w.r.t. the pr...

0 Kan Ren, et al. ∙

∙ 11/15/2018

Guiding the One-to-one Mapping in CycleGAN via Optimal Transport

CycleGAN is capable of learning a one-to-one mapping between two data di...

0 Guansong Lu, et al. ∙

∙ 09/07/2018

Deep Recurrent Survival Analysis

Survival analysis is a hotspot in statistical research for modeling time...

0 Kan Ren, et al. ∙

∙ 08/11/2018

Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising

In online advertising, the Internet users may be exposed to a sequence o...

0 Kan Ren, et al. ∙

∙ 03/01/2018

Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising

Real-time bidding (RTB) based display advertising has become one of the ...

0 Kan Ren, et al. ∙

∙ 03/06/2017

Activation Maximization Generative Adversarial Nets

Class label information has been empirically proven to be very useful in...

0 Zhiming Zhou, et al. ∙

∙ 01/10/2017

Real-Time Bidding by Reinforcement Learning in Display Advertising

The majority of online display ads are served through real-time bidding ...

0 Han Cai, et al. ∙

∙ 10/16/2015

A Graph Traversal Based Approach to Answer Non-Aggregation Questions Over DBpedia

We present a question answering system over DBpedia, filling the gap bet...

0 Chenhao Zhu, et al. ∙

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