Yelong Shen

发表

Implicit ReasoNet: Modeling Large-Scale Structured Relationships with Shared Memory pdf

Yelong Shen, Po-Sen Huang, Ming-Wei Chang, 2017, ArXiv.

Sparse hidden-dynamics conditional random fields for user intent understanding

Yelong Shen, Shuicheng Yan, Zheng Chen, 2011, WWW.

FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension pdf

Yelong Shen, Weizhu Chen, Chenguang Zhu, 2017, ICLR.

A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval

Yelong Shen, Jianfeng Gao, Xiaodong He, 2014, CIKM.

A Hybrid Retrieval-Generation Neural Conversation Model

Xiaodong Liu, Yelong Shen, Jianfeng Gao, 2019, CIKM.

End-to-end Learning of Latent Dirichlet Allocation by Mirror-Descent Back Propagation pdf

Yelong Shen, Jianfeng Gao, Li Deng, 2015, ArXiv.

Adversarial Attacks on Deep Graph Matching

Yang Zhou, Yelong Shen, Ruoming Jin, 2020, NeurIPS.

ReasoNet: Learning to Stop Reading in Machine Comprehension

Yelong Shen, Po-Sen Huang, Jianfeng Gao, 2016, CoCo@NIPS.

Semantic Modelling with Long-Short-Term Memory for Information Retrieval pdf

Rabab Kreidieh Ward, Yelong Shen, Jianfeng Gao, 2014, ArXiv.

Generation-Augmented Retrieval for Open-Domain Question Answering pdf

Yelong Shen, Jianfeng Gao, Pengcheng He, 2020, ACL.

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned pdf

Jun Suzuki, Yelong Shen, Colin Raffel, 2021, ArXiv.

Deep Context Modeling for Web Query Entity Disambiguation

Yelong Shen, Jianfeng Gao, Zhen Liao, 2017, CIKM.

Dynamic socialized Gaussian process models for human behavior prediction in a health social network

Yelong Shen, Ruoming Jin, Dejing Dou, 2016, Knowledge and Information Systems.

Dynamic Fusion Networks for Machine Reading Comprehension

Yelong Shen, Jianfeng Gao, Jingjing Liu, 2017 .

Reliable clustering on uncertain graphs

Charu C. Aggarwal, Yelong Shen, Ruoming Jin, 2012, 2012 IEEE 12th International Conference on Data Mining.

An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks pdf

Xiaodong Liu, Kevin Duh, Yelong Shen, 2017, IJCNLP.

Multi-Task Learning for Machine Reading Comprehension pdf

Xiaodong Liu, Yelong Shen, Jianfeng Gao, 2018, ArXiv.

Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention

Yelong Shen, Ruoming Jin, Lin Liu, 2019, CSoNet.

Deep Sentence Embedding Using the Long Short-Term Memory Networks

Rabab K. Ward, Yelong Shen, Jianfeng Gao, 2015 .

CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding pdf

Yelong Shen, Dinghan Shen, Jiawei Han, 2020, ICLR.

End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture

Yelong Shen, Jianfeng Gao, Li Deng, 2015, NIPS.

UnitedQA: A Hybrid Approach for Open Domain Question Answering pdf

Yelong Shen, Jianfeng Gao, Weizhu Chen, 2021, ArXiv.

A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation pdf

Yelong Shen, Dinghan Shen, Weizhu Chen, 2020, ArXiv.

Deep Sentence Embedding Using Long Short-Term Memory Networks; arXiv:1502.06922

Rabab K. Ward, Yelong Shen, Jianfeng Gao, 2015 .

ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search pdf

Yelong Shen, Po-Sen Huang, Jianfeng Gao, 2018, ICLR.

Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion

Yelong Shen, Po-Sen Huang, Ming-Wei Chang, 2016, Rep4NLP@ACL.

Towards Human-level Machine Reading Comprehension: Reasoning and Inference with Multiple Strategies pdf

Xiaodong Liu, Yelong Shen, Jianfeng Gao, 2017, ArXiv.

Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension

Yelong Shen, Dong Yu, Jianshu Chen, 2020, ACL.

Learning to rank audience for behavioral targeting in display ads

Yelong Shen, Shuicheng Yan, Bin Gao, 2011, CIKM '11.

Stochastic Answer Networks for Machine Reading Comprehension pdf

Xiaodong Liu, Kevin Duh, Yelong Shen, 2017, ACL.

MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning pdf

Mohit Bansal, Yelong Shen, Liwei Wang, 2020, ACL.

Social network mining and its applications

Yelong Shen, Yelong Shen, 2015 .

M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search

Yelong Shen, Po-Sen Huang, Jianfeng Gao, 2018, NeurIPS.

Unsupervised Deep Structured Semantic Models for Commonsense Reasoning pdf

Xiaodong Liu, Sheng Zhang, Yelong Shen, 2019, NAACL.

A Convolutional Latent Semantic Model for Web Search

Yelong Shen, Jianfeng Gao, Li Deng, 2014 .

Socialized Gaussian Process Model for Human Behavior Prediction in a Health Social Network

Yelong Shen, Ruoming Jin, Nafisa Afrin Chowdhury, 2012, 2012 IEEE 12th International Conference on Data Mining.

Learning semantic representations using convolutional neural networks for web search

Yelong Shen, Jianfeng Gao, Xiaodong He, 2014, WWW.

M-Walk: Learning to Walk in Graph with Monte Carlo Tree Search

Yelong Shen, Po-Sen Huang, Jianfeng Gao, 2018, NIPS 2018.

Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension

Xiaodong Liu, Yelong Shen, Jianfeng Gao, 2018, NAACL.

Reader-Guided Passage Reranking for Open-Domain Question Answering pdf

Yelong Shen, Jianfeng Gao, Weizhu Chen, 2021, FINDINGS.

Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval

Rabab Kreidieh Ward, Yelong Shen, Jianfeng Gao, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Learning personal + social latent factor model for social recommendation

Yelong Shen, Ruoming Jin, R. Jin, 2012, KDD.

StoryGAN: A Sequential Conditional GAN for Story Visualization

Yu Cheng, Zhe Gan, Yelong Shen, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A Deep Embedding Model for Co-occurrence Learning

Yelong Shen, Jianfeng Gao, Ruoming Jin, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

Language-Based Image Editing with Recurrent Attentive Models

Xiaodong Liu, Yelong Shen, Jianfeng Gao, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Improving Self-supervised Pre-training via a Fully-Explored Masked Language Model pdf

Yelong Shen, Dinghan Shen, Lin Xiao, 2020, ArXiv.

Link Prediction using Embedded Knowledge Graphs

Yelong Shen, Po-Sen Huang, Ming-Wei Chang, 2016 .

Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation pdf

Yelong Shen, Baolin Peng, Jianfeng Gao, 2021, ArXiv.

Integrated Defense for Resilient Graph Matching

Yelong Shen, Ruoming Jin, Dejing Dou, 2021, ICML.

CodeRetriever: Unimodal and Bimodal Contrastive Learning

Yelong Shen, Nan Duan, Daxin Jiang, 2022, ArXiv.

Memory-Efficient Differentiable Transformer Architecture Search

Yelong Shen, Furu Wei, Zhihua Zhang, 2021, FINDINGS.

A Good Prompt Is Worth Millions of Parameters? Low-resource Prompt-based Learning for Vision-Language Models pdf

Yelong Shen, Woojeong Jin, Yu Cheng, 2021, ArXiv.

Generation-Augmented Retrieval for Open-Domain Question Answering pdf

Yelong Shen, Jianfeng Gao, Jiawei Han, 2020, ACL.

UnitedQA: A Hybrid Approach for Open Domain Question Answering

Yelong Shen, Jianfeng Gao, Hao Cheng, 2021, ACL.

LoRA: Low-Rank Adaptation of Large Language Models pdf

Yelong Shen, Zeyuan Allen-Zhu, Phillip Wallis, 2021, ICLR.

Rider: Reader-Guided Passage Reranking for Open-Domain Question Answering

Yelong Shen, Jiawei Han, Jianfeng Gao, 2021, 2101.00294.

Poolingformer: Long Document Modeling with Pooling Attention

Jiancheng Lv, Yelong Shen, Nan Duan, 2021, ICML.

FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension

Yelong Shen, Chenguang Zhu, Weizhu Chen, 2017, ICLR.