Dejiao Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
9
Active years
2016–2024
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | EMNLP | Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies. | Junlin Wang, Siddhartha Jain, Dejiao Zhang, Baishakhi Ray, Varun Kumar, Ben Athiwaratkun |
| 2024 | ICLR | Code Representation Learning at Scale. | Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang |
| 2024 | ICML | Repoformer: Selective Retrieval for Repository-Level Code Completion. | Di Wu, Wasi Uddin Ahmad, Dejiao Zhang, Murali Krishna Ramanathan, Xiaofei Ma |
| 2023 | ACL | 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 |
| 2023 | ACL | ContraCLM: Contrastive Learning For Causal Language Model. | 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 |
| 2023 | ACL | Exploring Continual Learning for Code Generation Models. | 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 |
| 2022 | ACL | Virtual Augmentation Supported Contrastive Learning of Sentence Representations. | Dejiao Zhang, Wei Xiao, Henghui Zhu, Xiaofei Ma, Andrew O. Arnold |
| 2022 | NAACL | Learning Dialogue Representations from Consecutive Utterances. | Zhihan Zhou, Dejiao Zhang, Wei Xiao, Nicholas Dingwall, Xiaofei Ma, Andrew O. Arnold, Bing Xiang |
| 2022 | NAACL | Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. | Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew O. Arnold, Xiang Ren |
| 2021 | ACL | Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. | Yifan Gao, Henghui Zhu, Patrick Ng, Ccero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang |
| 2021 | ACL | Improving Factual Consistency of Abstractive Summarization via Question Answering. | Feng Nan, Ccero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang |
| 2021 | EACL | Entity-level Factual Consistency of Abstractive Text Summarization. | Feng Nan, Ramesh Nallapati, Zhiguo Wang, Ccero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathy McKeown, Bing Xiang |
| 2021 | EMNLP | Pairwise Supervised Contrastive Learning of Sentence Representations. | Dejiao Zhang, Shang-Wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang |
| 2021 | NAACL | Supporting Clustering with Contrastive Learning. | Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-Wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang |
| 2020 | EMNLP | Unsupervised Domain Adaptation for Cross-lingual Text Labeling. | Dejiao Zhang, Ramesh Nallapati, Henghui Zhu, Feng Nan, Ccero Nogueira dos Santos, Kathleen R. McKeown, Bing Xiang |
| 2018 | ICLR | Learning to Share: simultaneous parameter tying and Sparsification in Deep Learning. | Dejiao Zhang, Haozhu Wang, Mrio A. T. Figueiredo, Laura Balzano |
| 2017 | ACSSC | Enhanced online subspace estimation via adaptive sensing. | Greg Ongie, David Hong, Dejiao Zhang, Laura Balzano |
| 2017 | ICASSP | Matched subspace detection using compressively sampled data. | Dejiao Zhang, Laura Balzano |
| 2016 | AISTATS | Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation. | Dejiao Zhang, Laura Balzano |