Dejiao Zhang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 37

Top Topics

Subspace Clustering

Top Venues

Publications

Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang
Code Representation Learning at Scale. ICLR (2024)
Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang
Code Representation Learning At Scale. CoRR (2024)
Di Wu, Wasi Uddin Ahmad, Dejiao Zhang, Murali Krishna Ramanathan, Xiaofei Ma
Repoformer: Selective Retrieval for Repository-Level Code Completion. CoRR (2024)
Junlin Wang, Siddhartha Jain, Dejiao Zhang, Baishakhi Ray, Varun Kumar, Ben Athiwaratkun
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies. CoRR (2024)
Robert Giaquinto, Dejiao Zhang, Benjamin Kleiner, Yang Li, Ming Tan, Parminder Bhatia, Ramesh Nallapati, Xiaofei Ma
Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation. ACL (1) (2023)
Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Xiaofei Ma, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang
Exploring Continual Learning for Code Generation Models. CoRR (2023)
Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang
ContraCLM: Contrastive Learning For Causal Language Model. ACL (1) (2023)
Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Parminder Bhatia, Xiaofei Ma, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang
Exploring Continual Learning for Code Generation Models. ACL (2) (2023)
Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew O. Arnold, Xiang Ren
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. NAACL-HLT (2022)
Zhihan Zhou, Dejiao Zhang, Wei Xiao, Nicholas Dingwall, Xiaofei Ma, Andrew O. Arnold, Bing Xiang
Learning Dialogue Representations from Consecutive Utterances. CoRR (2022)
Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang
ContraGen: Effective Contrastive Learning For Causal Language Model. CoRR (2022)
Andy T. Liu, Wei Xiao, Henghui Zhu, Dejiao Zhang, Shang-Wen Li, Andrew O. Arnold
QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition. CoRR (2022)
Dejiao Zhang, Wei Xiao, Henghui Zhu, Xiaofei Ma, Andrew O. Arnold
Virtual Augmentation Supported Contrastive Learning of Sentence Representations. ACL (Findings) (2022)
Zhihan Zhou, Dejiao Zhang, Wei Xiao, Nicholas Dingwall, Xiaofei Ma, Andrew O. Arnold, Bing Xiang
Learning Dialogue Representations from Consecutive Utterances. NAACL-HLT (2022)
Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew O. Arnold, Xiang Ren
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. CoRR (2021)
Dejiao Zhang, Shang-Wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
Pairwise Supervised Contrastive Learning of Sentence Representations. EMNLP (1) (2021)
Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-Wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
Supporting Clustering with Contrastive Learning. CoRR (2021)
Xiaokai Wei, Shen Wang, Dejiao Zhang, Parminder Bhatia, Andrew O. Arnold
Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey. CoRR (2021)
Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-Wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
Supporting Clustering with Contrastive Learning. NAACL-HLT (2021)
Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang
Improving Factual Consistency of Abstractive Summarization via Question Answering. ACL/IJCNLP (1) (2021)
Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cícero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathleen R. McKeown, Bing Xiang
Entity-level Factual Consistency of Abstractive Text Summarization. CoRR (2021)
Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang
Improving Factual Consistency of Abstractive Summarization via Question Answering. CoRR (2021)
Dejiao Zhang, Wei Xiao, Henghui Zhu, Xiaofei Ma, Andrew O. Arnold
Virtual Augmentation Supported Contrastive Learning of Sentence Representations. CoRR (2021)
Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cícero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathy McKeown, Bing Xiang
Entity-level Factual Consistency of Abstractive Text Summarization. EACL (2021)
Yifan Gao, Henghui Zhu, Patrick Ng, Cícero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. ACL/IJCNLP (1) (2021)
Dejiao Zhang, Shang-Wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
Pairwise Supervised Contrastive Learning of Sentence Representations. CoRR (2021)
Yifan Gao, Henghui Zhu, Patrick Ng, Cícero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. CoRR (2020)
Dejiao Zhang, Ramesh Nallapati, Henghui Zhu, Feng Nan, Cícero Nogueira dos Santos, Kathleen R. McKeown, Bing Xiang
Unsupervised Domain Adaptation for Cross-lingual Text Labeling. EMNLP (Findings) (2020)
Dejiao Zhang, Julian Katz-Samuels, Mário A. T. Figueiredo, Laura Balzano
Simultaneous Sparsity and Parameter Tying for Deep Learning Using Ordered Weighted ℓ1 Regularization. SSP (2018)
Greg Ongie, David Hong, Dejiao Zhang, Laura Balzano
Online Estimation of Coherent Subspaces with Adaptive Sampling. SSP (2018)
Dejiao Zhang, Haozhu Wang, Mário A. T. Figueiredo, Laura Balzano
Learning to Share: simultaneous parameter tying and Sparsification in Deep Learning. ICLR (Poster) (2018)
Dejiao Zhang, Yifan Sun, Brian Eriksson, Laura Balzano
Deep Unsupervised Clustering Using Mixture of Autoencoders. CoRR (2017)
Dejiao Zhang, Laura Balzano
Matched subspace detection using compressively sampled data. ICASSP (2017)
John Lipor, David Hong, Dejiao Zhang, Laura Balzano
Subspace Clustering using Ensembles of $K$-Subspaces. CoRR (2017)
Greg Ongie, David Hong, Dejiao Zhang, Laura Balzano
Enhanced online subspace estimation via adaptive sensing. ACSSC (2017)
Dejiao Zhang, Laura Balzano
Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation. AISTATS (2016)
Dejiao Zhang, Laura Balzano
Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation From Undersampled Data. CoRR (2016)
Dejiao Zhang, Laura Balzano
Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation. CoRR (2015)
Jun He, Dejiao Zhang, Laura Balzano, Tao Tao
Iterative Grassmannian optimization for robust image alignment. Image Vis. Comput. 32 (10) (2014)
Jun He, Dejiao Zhang, Laura Balzano, Tao Tao
Iterative Grassmannian Optimization for Robust Image Alignment. CoRR (2013)
Jun He, Dejiao Zhang, Laura Balzano, Tao Tao
Iterative online subspace learning for robust image alignment. FG (2013)