Dejiao Zhang

发表

Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation pdf

Dejiao Zhang, Laura Balzano, L. Balzano, 2015, AISTATS.

Learning Dialogue Representations from Consecutive Utterances

Andrew O. Arnold, Bing Xiang, Dejiao Zhang, 2022, NAACL.

Learning Dialogue Representations from Consecutive Utterances

Andrew O. Arnold, Bing Xiang, Dejiao Zhang, 2022, NAACL.

Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora

Andrew O. Arnold, Xiang Ren, Shang-Wen Li, 2022, NAACL.

ContraGen: Effective Contrastive Learning For Causal Language Model

Wasi Uddin Ahmad, M. Tan, Bing Xiang, 2022, 2210.01185.

Extracting Compact Knowledge From Massive Data

Dejiao Zhang, Dejiao Zhang, 2019 .

Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation From Undersampled Data pdf

Dejiao Zhang, Laura Balzano, L. Balzano, 2016, ArXiv.

Iterative online subspace learning for robust image alignment

Tao Tao, Dejiao Zhang, Laura Balzano, 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

Improving Factual Consistency of Abstractive Summarization via Question Answering pdf

Ramesh Nallapati, Zhiguo Wang, Patrick Ng, 2021, ACL.

Pairwise Supervised Contrastive Learning of Sentence Representations

Andrew O. Arnold, Bing Xiang, Ramesh Nallapati, 2021, EMNLP.

Entity-level Factual Consistency of Abstractive Text Summarization pdf

Ramesh Nallapati, Zhiguo Wang, Bing Xiang, 2021, EACL.

Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora

Andrew O. Arnold, Shang-Wen Li, Xiaokai Wei, 2021, BIGSCIENCE.

Unsupervised Domain Adaptation for Cross-lingual Text Labeling

Ramesh Nallapati, Bing Xiang, Dejiao Zhang, 2020, FINDINGS.

Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey pdf

Parminder Bhatia, Dejiao Zhang, Xiaokai Wei, 2021, ArXiv.

Learning to Share: simultaneous parameter tying and Sparsification in Deep Learning

Mário A. T. Figueiredo, Dejiao Zhang, Laura Balzano, 2018, ICLR.

QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition

Andy T. Liu, Andrew O. Arnold, Shang-Wen Li, 2022, ArXiv.

Supporting Clustering with Contrastive Learning

Ramesh Nallapati, Bing Xiang, Dejiao Zhang, 2021, NAACL.

Exploring Continual Learning for Code Generation Models

M. Tan, Bing Xiang, Mohit Bansal, 2023, ACL.

Deep Unsupervised Clustering Using Mixture of Autoencoders pdf

Yifan Sun, Dejiao Zhang, Laura Balzano, 2017, ArXiv.

Virtual Augmentation Supported Contrastive Learning of Sentence Representations

Andrew O. Arnold, Dejiao Zhang, Xiaofei Ma, 2021, FINDINGS.

Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora

Andrew O. Arnold, Xiang Ren, Shang-Wen Li, 2022, NAACL.

Subspace Clustering using Ensembles of $K$-Subspaces pdf

Dejiao Zhang, Laura Balzano, John Lipor, 2017, Information and Inference: A Journal of the IMA.

Enhanced online subspace estimation via adaptive sensing

Dejiao Zhang, Laura Balzano, David Hong, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

Iterative Grassmannian optimization for robust image alignment

Tao Tao, Dejiao Zhang, Laura Balzano, 2013, Image Vis. Comput..

Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation

Ramesh Nallapati, Y. Li, Dejiao Zhang, 2023, ACL.

ContraCLM: Contrastive Learning For Causal Language Model

Wasi Uddin Ahmad, Bing Xiang, Ramesh Nallapati, 2022, ACL.

Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction

Ramesh Nallapati, Zhiguo Wang, Patrick Ng, 2020, ACL.

Information Regularized Neural Networks

Honglak Lee, Zeyu Sun, Dejiao Zhang, 2018 .

Simultaneous Sparsity and Parameter Tying for Deep Learning Using Ordered Weighted ℓ1 Regularization

Mário A. T. Figueiredo, Dejiao Zhang, Laura Balzano, 2018, 2018 IEEE Statistical Signal Processing Workshop (SSP).