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2020 – today
- 2022
[c31]Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, Weizhu Chen:
What Makes Good In-Context Examples for GPT-3? DeeLIO@ACL 2022: 100-114- 2021
- [j1]Xin Wang
, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang:
Vision-Language Navigation Policy Learning and Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4205-4216 (2021) - [c30]Jiaao Chen, Dinghan Shen, Weizhu Chen, Diyi Yang:
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability. ACL/IJCNLP (1) 2021: 4380-4390 - [c29]Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin:
Syntactic Knowledge-Infused Transformer and BERT Models. CIKM Workshops 2021 - [c28]Kevin J. Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin:
MixKD: Towards Efficient Distillation of Large-scale Language Models. ICLR 2021 - [c27]Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Weizhu Chen, Jiawei Han:
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding. ICLR 2021 - [i34]Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, Weizhu Chen:
What Makes Good In-Context Examples for GPT-3? CoRR abs/2101.06804 (2021) - [i33]Jiaao Chen, Dinghan Shen, Weizhu Chen, Diyi Yang:
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalization. CoRR abs/2106.00149 (2021) - 2020
- [b1]Dinghan Shen:
Deep Latent-Variable Models for Natural Language Understanding and Generation. Duke University, Durham, NC, USA, 2020 - [c26]Lin Zheng, Qinliang Su, Dinghan Shen, Changyou Chen:
Generative Semantic Hashing Enhanced via Boltzmann Machines. ACL 2020: 777-788 - [c25]Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin:
Improving Adversarial Text Generation by Modeling the Distant Future. ACL 2020: 2516-2531 - [c24]Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin:
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. ACL 2020: 7530-7541 - [c23]Jianqiao Li, Chunyuan Li, Guoyin Wang, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin:
Improving Text Generation with Student-Forcing Optimal Transport. EMNLP (1) 2020: 9144-9156 - [i32]Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin:
Improving Adversarial Text Generation by Modeling the Distant Future. CoRR abs/2005.01279 (2020) - [i31]Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin:
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. CoRR abs/2006.00693 (2020) - [i30]Lin Zheng, Qinliang Su, Dinghan Shen, Changyou Chen:
Generative Semantic Hashing Enhanced via Boltzmann Machines. CoRR abs/2006.08858 (2020) - [i29]Dinghan Shen, Mingzhi Zheng, Yelong Shen, Yanru Qu, Weizhu Chen:
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation. CoRR abs/2009.13818 (2020) - [i28]Guoyin Wang, Chunyuan Li, Jianqiao Li, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin:
Improving Text Generation with Student-Forcing Optimal Transport. CoRR abs/2010.05994 (2020) - [i27]Mingzhi Zheng, Dinghan Shen, Yelong Shen, Weizhu Chen, Lin Xiao:
Improving Self-supervised Pre-training via a Fully-Explored Masked Language Model. CoRR abs/2010.06040 (2020) - [i26]Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Jiawei Han, Weizhu Chen:
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding. CoRR abs/2010.08670 (2020) - [i25]Kevin J. Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin:
MixKD: Towards Efficient Distillation of Large-scale Language Models. CoRR abs/2011.00593 (2020)
2010 – 2019
- 2019
- [c22]Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin:
Learning Compressed Sentence Representations for On-Device Text Processing. ACL (1) 2019: 107-116 - [c21]Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen, Lawrence Carin:
Syntax-Infused Variational Autoencoder for Text Generation. ACL (1) 2019: 2069-2078 - [c20]Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin:
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. ACL (1) 2019: 2079-2089 - [c19]Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin:
Improving Textual Network Embedding with Global Attention via Optimal Transport. ACL (1) 2019: 5193-5202 - [c18]Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang:
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation. CVPR 2019: 6629-6638 - [c17]Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin:
An End-to-End Generative Architecture for Paraphrase Generation. EMNLP/IJCNLP (1) 2019: 3130-3140 - [c16]Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen:
Document Hashing with Mixture-Prior Generative Models. EMNLP/IJCNLP (1) 2019: 5225-5234 - [c15]Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin:
Improving Sequence-to-Sequence Learning via Optimal Transport. ICLR (Poster) 2019 - [c14]Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin:
Topic-Guided Variational Auto-Encoder for Text Generation. NAACL-HLT (1) 2019: 166-177 - [i24]Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin:
Improving Sequence-to-Sequence Learning via Optimal Transport. CoRR abs/1901.06283 (2019) - [i23]Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin:
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. CoRR abs/1902.00154 (2019) - [i22]Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin:
Topic-Guided Variational Autoencoders for Text Generation. CoRR abs/1903.07137 (2019) - [i21]Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin:
Improving Textual Network Embedding with Global Attention via Optimal Transport. CoRR abs/1906.01840 (2019) - [i20]Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen, Lawrence Carin:
Syntax-Infused Variational Autoencoder for Text Generation. CoRR abs/1906.02181 (2019) - [i19]Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin:
Learning Compressed Sentence Representations for On-Device Text Processing. CoRR abs/1906.08340 (2019) - [i18]Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen:
Document Hashing with Mixture-Prior Generative Models. CoRR abs/1908.11078 (2019) - [i17]Pengyu Cheng, Chang Liu, Chunyuan Li, Dinghan Shen, Ricardo Henao, Lawrence Carin:
Straight-Through Estimator as Projected Wasserstein Gradient Flow. CoRR abs/1910.02176 (2019) - [i16]Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin:
Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding. CoRR abs/1911.06156 (2019) - 2018
- [c13]Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin:
Deconvolutional Latent-Variable Model for Text Sequence Matching. AAAI 2018: 5438-5445 - [c12]Yitong Li, Martin Renqiang Min, Dinghan Shen, David E. Carlson, Lawrence Carin:
Video Generation From Text. AAAI 2018: 7065-7072 - [c11]Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin:
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. ACL (1) 2018: 440-450 - [c10]Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Ricardo Henao, Lawrence Carin:
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. ACL (1) 2018: 2041-2050 - [c9]Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin:
Joint Embedding of Words and Labels for Text Classification. ACL (1) 2018: 2321-2331 - [c8]Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin:
Topic Compositional Neural Language Model. AISTATS 2018: 356-365 - [c7]Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin:
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment. EMNLP 2018: 1829-1838 - [c6]Dinghan Shen, Martin Renqiang Min, Yitong Li, Lawrence Carin:
Learning Context-Aware Convolutional Filters for Text Processing. EMNLP 2018: 1839-1848 - [c5]Liqun Chen, Shuyang Dai, Chenyang Tao, Haichao Zhang, Zhe Gan, Dinghan Shen, Yizhe Zhang, Guoyin Wang, Ruiyi Zhang, Lawrence Carin:
Adversarial Text Generation via Feature-Mover's Distance. NeurIPS 2018: 4671-4682 - [c4]Xinyuan Zhang, Yitong Li, Dinghan Shen, Lawrence Carin:
Diffusion Maps for Textual Network Embedding. NeurIPS 2018: 7598-7608 - [c3]Martin Renqiang Min, Hongyu Guo, Dinghan Shen:
Parametric t-Distributed Stochastic Exemplar-Centered Embedding. ECML/PKDD (1) 2018: 477-493 - [i15]Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin:
Joint Embedding of Words and Labels for Text Classification. CoRR abs/1805.04174 (2018) - [i14]Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao:
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. CoRR abs/1805.05361 (2018) - [i13]Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin:
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. CoRR abs/1805.09843 (2018) - [i12]Xinyuan Zhang, Yitong Li, Dinghan Shen, Lawrence Carin:
Diffusion Maps for Textual Network Embedding. CoRR abs/1805.09906 (2018) - [i11]Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin:
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment. CoRR abs/1808.09633 (2018) - [i10]Liqun Chen, Shuyang Dai, Chenyang Tao, Dinghan Shen, Zhe Gan, Haichao Zhang, Yizhe Zhang, Lawrence Carin:
Adversarial Text Generation via Feature-Mover's Distance. CoRR abs/1809.06297 (2018) - [i9]Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Liqun Chen, Dinghan Shen, Guoyin Wang, Lawrence Carin:
Sequence Generation with Guider Network. CoRR abs/1811.00696 (2018) - [i8]Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang:
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation. CoRR abs/1811.10092 (2018) - 2017
- [c2]Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin:
Adversarial Feature Matching for Text Generation. ICML 2017: 4006-4015 - [c1]Yizhe Zhang, Dinghan Shen, Guoyin Wang, Zhe Gan, Ricardo Henao, Lawrence Carin:
Deconvolutional Paragraph Representation Learning. NIPS 2017: 4169-4179 - [i7]Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin:
Adversarial Feature Matching for Text Generation. CoRR abs/1706.03850 (2017) - [i6]Yizhe Zhang, Dinghan Shen, Guoyin Wang, Zhe Gan, Ricardo Henao, Lawrence Carin:
Deconvolutional Paragraph Representation Learning. CoRR abs/1708.04729 (2017) - [i5]Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin:
Deconvolutional Latent-Variable Model for Text Sequence Matching. CoRR abs/1709.07109 (2017) - [i4]Dinghan Shen, Martin Renqiang Min, Yitong Li, Lawrence Carin:
Adaptive Convolutional Filter Generation for Natural Language Understanding. CoRR abs/1709.08294 (2017) - [i3]Yitong Li, Martin Renqiang Min, Dinghan Shen, David E. Carlson, Lawrence Carin:
Video Generation From Text. CoRR abs/1710.00421 (2017) - [i2]Martin Renqiang Min, Hongyu Guo, Dinghan Shen:
Parametric t-Distributed Stochastic Exemplar-centered Embedding. CoRR abs/1710.05128 (2017) - [i1]Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin:
Topic Compositional Neural Language Model. CoRR abs/1712.09783 (2017)
Coauthor Index
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