Dinghan Shen

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 66

Top Topics

Natural Language

Sequence Matching

Latent Variable Models

Top Venues

Publications

Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, Weizhu Chen
What Makes Good In-Context Examples for GPT-3? DeeLIO@ACL (2022)
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) (2021)
Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin
Syntactic Knowledge-Infused Transformer and BERT Models. CIKM Workshops (2021)
Jiaao Chen, Dinghan Shen, Weizhu Chen, Diyi Yang
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalization. CoRR (2021)
Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, Weizhu Chen
What Makes Good In-Context Examples for GPT-3? CoRR (2021)
Jiaao Chen, Dinghan Shen, Weizhu Chen, Diyi Yang
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability. ACL/IJCNLP (1) (2021)
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)
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)
Mingzhi Zheng, Dinghan Shen, Yelong Shen, Weizhu Chen, Lin Xiao
Improving Self-supervised Pre-training via a Fully-Explored Masked Language Model. CoRR (2020)
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)
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)
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 (2020)
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 (2020)
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 (2020)
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 (2020)
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 (2020)
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 (2020)
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)
Lin Zheng, Qinliang Su, Dinghan Shen, Changyou Chen
Generative Semantic Hashing Enhanced via Boltzmann Machines. ACL (2020)
Lin Zheng, Qinliang Su, Dinghan Shen, Changyou Chen
Generative Semantic Hashing Enhanced via Boltzmann Machines. CoRR (2020)
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)
Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen, Lawrence Carin
Syntax-Infused Variational Autoencoder for Text Generation. CoRR (2019)
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 (2019)
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)
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 (2019)
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 (2019)
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)
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 (2019)
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)
Pengyu Cheng, Chang Liu, Chunyuan Li, Dinghan Shen, Ricardo Henao, Lawrence Carin
Straight-Through Estimator as Projected Wasserstein Gradient Flow. CoRR (2019)
Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen
Document Hashing with Mixture-Prior Generative Models. EMNLP/IJCNLP (1) (2019)
Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen
Document Hashing with Mixture-Prior Generative Models. CoRR (2019)
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)
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)
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)
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 (2019)
Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin
Topic-Guided Variational Autoencoders for Text Generation. CoRR (2019)
Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen, Lawrence Carin
Syntax-Infused Variational Autoencoder for Text Generation. ACL (1) (2019)
Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment. CoRR (2018)
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 (2018)
Xinyuan Zhang, Yitong Li, Dinghan Shen, Lawrence Carin
Diffusion Maps for Textual Network Embedding. NeurIPS (2018)
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)
Yitong Li, Martin Renqiang Min, Dinghan Shen, David E. Carlson, Lawrence Carin
Video Generation From Text. AAAI (2018)
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)
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)
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 (2018)
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)
Martin Renqiang Min, Hongyu Guo, Dinghan Shen
Parametric t-Distributed Stochastic Exemplar-Centered Embedding. ECML/PKDD (1) (2018)
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 (2018)
Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin
Topic Compositional Neural Language Model. AISTATS (2018)
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 (2018)
Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin
Deconvolutional Latent-Variable Model for Text Sequence Matching. AAAI (2018)
Dinghan Shen, Martin Renqiang Min, Yitong Li, Lawrence Carin
Learning Context-Aware Convolutional Filters for Text Processing. EMNLP (2018)
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Liqun Chen, Dinghan Shen, Guoyin Wang, Lawrence Carin
Sequence Generation with Guider Network. CoRR (2018)
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 (2018)
Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment. EMNLP (2018)
Xinyuan Zhang, Yitong Li, Dinghan Shen, Lawrence Carin
Diffusion Maps for Textual Network Embedding. CoRR (2018)
Yizhe Zhang, Dinghan Shen, Guoyin Wang, Zhe Gan, Ricardo Henao, Lawrence Carin
Deconvolutional Paragraph Representation Learning. CoRR (2017)
Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin
Deconvolutional Latent-Variable Model for Text Sequence Matching. CoRR (2017)
Yizhe Zhang, Dinghan Shen, Guoyin Wang, Zhe Gan, Ricardo Henao, Lawrence Carin
Deconvolutional Paragraph Representation Learning. NIPS (2017)
Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin
Adversarial Feature Matching for Text Generation. ICML (2017)
Yitong Li, Martin Renqiang Min, Dinghan Shen, David E. Carlson, Lawrence Carin
Video Generation From Text. CoRR (2017)
Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin
Adversarial Feature Matching for Text Generation. CoRR (2017)
Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin
Topic Compositional Neural Language Model. CoRR (2017)
Martin Renqiang Min, Hongyu Guo, Dinghan Shen
Parametric t-Distributed Stochastic Exemplar-centered Embedding. CoRR (2017)
Dinghan Shen, Martin Renqiang Min, Yitong Li, Lawrence Carin
Adaptive Convolutional Filter Generation for Natural Language Understanding. CoRR (2017)