Tiejun Zhao

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All published works
Action Title Year Authors
+ PDF Chat Look Before You Leap: Enhancing Attention and Vigilance Regarding Harmful Content with GuidelineLLM 2024 Shaoqing Zhang
Zhuosheng Zhang
Kehai Chen
Rongxiang Weng
Muyun Yang
Tiejun Zhao
Min Zhang
+ PDF Chat PMoL: Parameter Efficient MoE for Preference Mixing of LLM Alignment 2024 Deyu Liu
Bing Xu
Yinzhuo Chen
Baiping Xu
Wenpeng Lü
Muyun Yang
Tiejun Zhao
+ PDF Chat Dynamic Planning for LLM-based Graphical User Interface Automation 2024 Shaoqing Zhang
Zhuosheng Zhang
Kehai Chen
Xiaojun Ma
Muyun Yang
Tiejun Zhao
Min Zhang
+ PDF Chat A Survey on Human Preference Learning for Large Language Models 2024 Ruili Jiang
Kehai Chen
Xue‐Feng Bai
Zhixuan He
Juntao Li
Muyun Yang
Tiejun Zhao
Liqiang Nie
Min Zhang
+ PDF Chat An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Models are Task-specific Classifiers 2024 Hui Huang
Yingqi Qu
Jing Liu
Muyun Yang
Tiejun Zhao
+ PDF Chat A Neural Conversation Generation Model via Equivalent Shared Memory Investigation 2021 Changzhen Ji
Yating Zhang
Xiaozhong Liu
Adam Jatowt
Changlong Sun
Conghui Zhu
Tiejun Zhao
+ Word Embedding Transformation for Robust Unsupervised Bilingual Lexicon Induction 2021 Hailong Cao
Tiejun Zhao
+ PDF Chat Look-Into-Object: Self-Supervised Structure Modeling for Object Recognition 2020 Mohan Zhou
Yalong Bai
Wei Zhang
Tiejun Zhao
Tao Mei
+ Robust Unsupervised Neural Machine Translation with Adversarial Training. 2020 Haipeng Sun
Rui Wang
Kehai Chen
Masao Utiyama
Eiichiro Sumita
Tiejun Zhao
+ Detecting and Understanding Generalization Barriers for Neural Machine Translation 2020 Guanlin Li
Lemao Liu
Conghui Zhu
Tiejun Zhao
Shuming Shi
+ Look-into-Object: Self-supervised Structure Modeling for Object Recognition 2020 Mohan Zhou
Yalong Bai
Wei Zhang
Tiejun Zhao
Tao Mei
+ Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting 2020 Guanhua Zhang
Bing Bai
Junqi Zhang
Kun Bai
Conghui Zhu
Tiejun Zhao
+ Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting 2020 Guanhua Zhang
Bing Bai
Junqi Zhang
Kun Bai
Conghui Zhu
Tiejun Zhao
+ Multimodal Matching Transformer for Live Commenting 2020 Chaoqun Duan
Lei Cui
Shuming Ma
Furu Wei
Conghui Zhu
Tiejun Zhao
+ Robust Unsupervised Neural Machine Translation with Adversarial Denoising Training 2020 Haipeng Sun
Rui Wang
Kehai Chen
Xugang Lu
Masao Utiyama
Eiichiro Sumita
Tiejun Zhao
+ PDF Chat Robust Unsupervised Neural Machine Translation with Adversarial Denoising Training 2020 Haipeng Sun
Rui Wang
Kehai Chen
Xugang Lu
Masao Utiyama
Eiichiro Sumita
Tiejun Zhao
+ An Empirical Study of Domain Adaptation for Unsupervised Neural Machine Translation. 2019 Haipeng Sun
Rui Wang
Kehai Chen
Masao Utiyama
Eiichiro Sumita
Tiejun Zhao
+ Revisiting Simple Domain Adaptation Methods in Unsupervised Neural Machine Translation 2019 Haipeng Sun
Rui Wang
Kehai Chen
Masao Utiyama
Eiichiro Sumita
Tiejun Zhao
Chenhui Chu
+ PDF Chat Domain adaptation for statistical machine translation 2016 Xiaoxue Wang
Conghui Zhu
Sheng Li
Tiejun Zhao
Dequan Zheng
+ Learning High-level Image Representation for Image Retrieval via Multi-Task DNN using Clickthrough Data 2013 Wei‐Ying Ma
Tiejun Zhao
Kuiyuan Yang
Wei Yu
Yalong Bai
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Unsupervised Neural Machine Translation 2017 Mikel Artetxe
Gorka Labaka
Eneko Agirre
Kyunghyun Cho
5
+ Adam: A Method for Stochastic Optimization 2014 Diederik P. Kingma
Jimmy Ba
4
+ PDF Chat Unsupervised Neural Machine Translation with Weight Sharing 2018 Zhen Yang
Wei Chen
Feng Wang
Bo Xu
4
+ PDF Chat Neural Machine Translation of Rare Words with Subword Units 2016 Rico Sennrich
Barry Haddow
Alexandra Birch
4
+ Neural Machine Translation by Jointly Learning to Align and Translate 2015 Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
3
+ PDF Chat Improving Neural Machine Translation Models with Monolingual Data 2016 Rico Sennrich
Barry Haddow
Alexandra Birch
3
+ MASS: Masked Sequence to Sequence Pre-training for Language Generation 2019 Kaitao Song
Xu Tan
Tao Qin
Jianfeng Lu
Tie‐Yan Liu
3
+ Robust Neural Machine Translation with Joint Textual and Phonetic Embedding 2019 Hairong Liu
Mingbo Ma
Liang Huang
Hao Xiong
Zhongjun He
3
+ A Call for Clarity in Reporting BLEU Scores 2018 Matt Post
3
+ Robust Neural Machine Translation with Doubly Adversarial Inputs 2019 Yong Cheng
Lu Jiang
Wolfgang Macherey
3
+ PDF Chat Squeeze-and-Excitation Networks 2019 Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
2
+ Efficient Estimation of Word Representations in Vector Space 2013 Tomáš Mikolov
Kai Chen
Greg S. Corrado
Jay B. Dean
2
+ Fine-Grained Visual Classification of Aircraft 2013 Subhransu Maji
Esa Rahtu
Juho Kannala
Matthew B. Blaschko
Andrea Vedaldi
2
+ Inference and missing data 1976 Donald B. Rubin
2
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
2
+ PDF Chat Reducing Gender Bias in Abusive Language Detection 2018 Ji Ho Park
Jamin Shin
Pascale Fung
2
+ PDF Chat Residual Attention Network for Image Classification 2017 Fei Wang
Mengqing Jiang
Chen Qian
Shuo Yang
Cheng Li
Honggang Zhang
Xiaogang Wang
Xiaoou Tang
2
+ Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition 2018 Ming Sun
Yuchen Yuan
Feng Zhou
Errui Ding
2
+ PDF Chat Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification 2019 Daniel Borkan
Lucas Dixon
Jeffrey Sorensen
Nithum Thain
Lucy Vasserman
2
+ PDF Chat Learning to Navigate for Fine-Grained Classification 2018 Ze Yang
Tiange Luo
Dong Wang
Zhiqiang Hu
Jun Gao
Liwei Wang
2
+ Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets 2019 Guanhua Zhang
Bing Bai
Jian Liang
Kun Bai
Shiyu Chang
Mo Yu
Conghui Zhu
Tiejun Zhao
2
+ An Improved Categorization of Classifier’s Sensitivity on Sample Selection Bias 2006 Wei Fan
Ian Davidson
Bianca Zadrozny
Philip S. Yu
2
+ PDF Chat CNN Features Off-the-Shelf: An Astounding Baseline for Recognition 2014 Ali Sharif Razavian
Hossein Azizpour
Josephine Sullivan
Stefan Carlsson
2
+ PDF Chat Rethinking the Inception Architecture for Computer Vision 2016 Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jon Shlens
Zbigniew Wojna
2
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
2
+ PDF Chat Going deeper with convolutions 2015 Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
2
+ Selection Bias in Web Surveys and the Use of Propensity Scores 2009 Matthias Schonlau
Arthur van Soest
Arie Kapteyn
Mick P. Couper
2
+ PDF Chat Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles 2016 Mehdi Noroozi
Paolo Favaro
2
+ PDF Chat Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition 2018 Chaojian Yu
Xinyi Zhao
Qi Zheng
Peng Zhang
Xinge You
2
+ Mitigating Unwanted Biases with Adversarial Learning 2018 Brian Hu Zhang
Blake Lemoine
Margaret Mitchell
2
+ Cross-lingual Language Model Pretraining 2019 Guillaume Lample
Alexis Conneau
2
+ PDF Chat Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition 2018 Yaming Wang
Vlad I. Morariu
Larry S. Davis
2
+ Bird Species Categorization Using Pose Normalized Deep Convolutional Nets 2014 Steve Branson
Grant Van Horn
Serge Belongie
Pietro Perona
2
+ PDF Chat ImageNet Large Scale Visual Recognition Challenge 2015 Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
2
+ PDF Chat Object-Part Attention Model for Fine-Grained Image Classification 2017 Yuxin Peng
Xiangteng He
Junjie Zhao
2
+ HotFlip: White-Box Adversarial Examples for Text Classification 2018 Javid Ebrahimi
Anyi Rao
Daniel Lowd
Dejing Dou
2
+ PDF Chat The application of two-level attention models in deep convolutional neural network for fine-grained image classification 2015 Tianjun Xiao
Yichong Xu
Kuiyuan Yang
Jiaxing Zhang
Yuxin Peng
Zheng Zhang
2
+ PDF Chat Low-Rank Bilinear Pooling for Fine-Grained Classification 2017 Shu Kong
Charless C. Fowlkes
2
+ Equality of Opportunity in Supervised Learning 2016 Moritz Hardt
Eric Price
Nathan Srebro
2
+ On the (im)possibility of fairness 2016 Sorelle A. Friedler
Carlos Scheidegger
Suresh Venkatasubramanian
2
+ Sequence to Sequence Learning with Neural Networks 2014 Ilya Sutskever
Oriol Vinyals
Quoc V. Le
2
+ Fully Convolutional Attention Networks for Fine-Grained Recognition 2016 Xiao Liu
Tian Xia
Jiang Wang
Yi Yang
Feng Zhou
Yuanqing Lin
2
+ Improving predictive inference under covariate shift by weighting the log-likelihood function 2000 Hidetoshi Shimodaira
2
+ MMDetection: Open MMLab Detection Toolbox and Benchmark. 2019 Kai Chen
Jiaqi Wang
Jiangmiao Pang
Yuhang Cao
Yu Xiong
Xiaoxiao Li
Shuyang Sun
Wansen Feng
Ziwei Liu
Jiarui Xu
2
+ Convolutional Sequence to Sequence Learning 2017 Jonas Gehring
Michael Auli
David Grangier
Denis Yarats
Yann Dauphin
2
+ Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations 2017 Alex Beutel
Ed H.
Jilin Chen
Zhe Zhao
2
+ PDF Chat The central role of the propensity score in observational studies for causal effects 1983 Paul R. Rosenbaum
Donald B. Rubin
2
+ PDF Chat Do Convolutional Neural Networks Learn Class Hierarchy? 2017 Bilal Alsallakh
Amin Jourabloo
Mao Ye
Xiaoming Liu
Liu Ren
2
+ PDF Chat Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies 2015 Peter C. Austin
Elizabeth A. Stuart
2
+ Semantics derived automatically from language corpora necessarily contain human biases. 2016 Aylin Caliskan Islam
Joanna J. Bryson
Arvind Narayanan
2