Iterative online subspace learning for robust image alignment. - Jun He 006; Dejiao Zhang; Laura Balzano; Tao Tao (FG, 2013)

Iterative Grassmannian optimization for robust image alignment. - Jun He 006; Dejiao Zhang; Laura Balzano; Tao Tao (Image Vis. Comput., 2014)

Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation. - Dejiao Zhang; Laura Balzano (AISTATS, 2016)

Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation From Undersampled Data. - Dejiao Zhang; Laura Balzano (CoRR, 2016)

Enhanced online subspace estimation via adaptive sensing. - Greg Ongie; David Hong; Dejiao Zhang; Laura Balzano (ACSSC, 2017)

Matched subspace detection using compressively sampled data. - Dejiao Zhang; Laura Balzano (ICASSP, 2017)

Subspace Clustering using Ensembles of $K$-Subspaces. - John Lipor; David Hong; Dejiao Zhang; Laura Balzano (CoRR, 2017)

Deep Unsupervised Clustering Using Mixture of Autoencoders. - Dejiao Zhang; Yifan Sun 001; Brian Eriksson; Laura Balzano (CoRR, 2017)

Learning to Share: simultaneous parameter tying and Sparsification in Deep Learning. - Dejiao Zhang; Haozhu Wang; Mário A. T. Figueiredo; Laura Balzano (ICLR (Poster), 2018)

Online Estimation of Coherent Subspaces with Adaptive Sampling. - Greg Ongie; David Hong; Dejiao Zhang; Laura Balzano (SSP, 2018)

Simultaneous Sparsity and Parameter Tying for Deep Learning Using Ordered Weighted ℓ1 Regularization. - Dejiao Zhang; Julian Katz-Samuels; Mário A. T. Figueiredo; Laura Balzano (SSP, 2018)

Unsupervised Domain Adaptation for Cross-lingual Text Labeling. - Dejiao Zhang; Ramesh Nallapati; Henghui Zhu; Feng Nan; Cícero Nogueira dos Santos; Kathleen R. McKeown; Bing Xiang (EMNLP (Findings), 2020)

Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. - Yifan Gao 001; Henghui Zhu; Patrick Ng; Cícero Nogueira dos Santos; Zhiguo Wang; Feng Nan; Dejiao Zhang; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang (ACL/IJCNLP (1), 2021)

Improving Factual Consistency of Abstractive Summarization via Question Answering. - Feng Nan; Cícero Nogueira dos Santos; Henghui Zhu; Patrick Ng; Kathleen R. McKeown; Ramesh Nallapati; Dejiao Zhang; Zhiguo Wang; Andrew O. Arnold; Bing Xiang (ACL/IJCNLP (1), 2021)

Entity-level Factual Consistency of Abstractive Text Summarization. - Feng Nan; Ramesh Nallapati; Zhiguo Wang; Cícero Nogueira dos Santos; Henghui Zhu; Dejiao Zhang; Kathy McKeown; Bing Xiang (EACL, 2021)

Pairwise Supervised Contrastive Learning of Sentence Representations. - Dejiao Zhang; Shang-Wen Li 001; Wei Xiao 001; Henghui Zhu; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang (EMNLP (1), 2021)

Supporting Clustering with Contrastive Learning. - Dejiao Zhang; Feng Nan; Xiaokai Wei; Shang-Wen Li 001; Henghui Zhu; Kathleen R. McKeown; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang (NAACL-HLT, 2021)

Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey. - Xiaokai Wei; Shen Wang 005; Dejiao Zhang; Parminder Bhatia; Andrew O. Arnold (CoRR, 2021)

Virtual Augmentation Supported Contrastive Learning of Sentence Representations. - Dejiao Zhang; Wei Xiao 001; Henghui Zhu; Xiaofei Ma 001; Andrew O. Arnold (ACL (Findings), 2022)

Learning Dialogue Representations from Consecutive Utterances. - Zhihan Zhou 001; Dejiao Zhang; Wei Xiao 001; Nicholas Dingwall; Xiaofei Ma 001; Andrew O. Arnold; Bing Xiang (NAACL-HLT, 2022)

Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. - Xisen Jin; Dejiao Zhang; Henghui Zhu; Wei Xiao 001; Shang-Wen Li 001; Xiaokai Wei; Andrew O. Arnold; Xiang Ren 001 (NAACL-HLT, 2022)

QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition. - Andy T. Liu; Wei Xiao 001; Henghui Zhu; Dejiao Zhang; Shang-Wen Li 001; Andrew O. Arnold (CoRR, 2022)

ContraGen: Effective Contrastive Learning For Causal Language Model. - Nihal Jain; Dejiao Zhang; Wasi Uddin Ahmad; Zijian Wang 002; Feng Nan; Xiaopeng Li 002; Ming Tan; Ramesh Nallapati; Baishakhi Ray; Parminder Bhatia; Xiaofei Ma 001; Bing Xiang (CoRR, 2022)

Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation. - Robert Giaquinto; Dejiao Zhang; Benjamin Kleiner; Yang Li; Ming Tan; Parminder Bhatia; Ramesh Nallapati; Xiaofei Ma 001 (ACL (1), 2023)

ContraCLM: Contrastive Learning For Causal Language Model. - Nihal Jain; Dejiao Zhang; Wasi Uddin Ahmad; Zijian Wang 002; Feng Nan; Xiaopeng Li 002; Ming Tan; Ramesh Nallapati; Baishakhi Ray; Parminder Bhatia; Xiaofei Ma 001; Bing Xiang (ACL (1), 2023)

Exploring Continual Learning for Code Generation Models. - Prateek Yadav; Qing Sun; Hantian Ding; Xiaopeng Li 002; Dejiao Zhang; Ming Tan; Parminder Bhatia; Xiaofei Ma 001; Ramesh Nallapati; Murali Krishna Ramanathan; Mohit Bansal; Bing Xiang (ACL (2), 2023)

Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies. - Junlin Wang; Siddhartha Jain 001; Dejiao Zhang; Baishakhi Ray; Varun Kumar; Ben Athiwaratkun (EMNLP, 2024)

Code Representation Learning at Scale. - Dejiao Zhang; Wasi Uddin Ahmad; Ming Tan; Hantian Ding; Ramesh Nallapati; Dan Roth 001; Xiaofei Ma 001; Bing Xiang (ICLR, 2024)

Repoformer: Selective Retrieval for Repository-Level Code Completion. - Di Wu 054; Wasi Uddin Ahmad; Dejiao Zhang; Murali Krishna Ramanathan; Xiaofei Ma 001 (ICML, 2024)

QualityFlow: An Agentic Workflow for Program Synthesis Controlled by LLM Quality Checks. - Yaojie Hu; Qiang Zhou 009; Qihong Chen; Xiaopeng Li 002; Linbo Liu; Dejiao Zhang; Amit Kachroo; Talha Oz; Omer Tripp (CoRR, 2025)