Adversarial Feature Matching for Text Generation. - Yizhe Zhang 002; Zhe Gan; Kai Fan 002; Zhi Chen 009; Ricardo Henao; Dinghan Shen; Lawrence Carin (ICML, 2017)

Deconvolutional Paragraph Representation Learning. - Yizhe Zhang 002; Dinghan Shen; Guoyin Wang 002; Zhe Gan; Ricardo Henao; Lawrence Carin (NIPS, 2017)

Adaptive Convolutional Filter Generation for Natural Language Understanding. - Dinghan Shen; Martin Renqiang Min; Yitong Li 001; Lawrence Carin (CoRR, 2017)

Video Generation From Text. - Yitong Li 001; Martin Renqiang Min; Dinghan Shen; David E. Carlson; Lawrence Carin (AAAI, 2018)

Deconvolutional Latent-Variable Model for Text Sequence Matching. - Dinghan Shen; Yizhe Zhang 002; Ricardo Henao; Qinliang Su; Lawrence Carin (AAAI, 2018)

NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. - Dinghan Shen; Qinliang Su; Paidamoyo Chapfuwa; Wenlin Wang; Guoyin Wang 002; Ricardo Henao; Lawrence Carin (ACL (1), 2018)

Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. - Dinghan Shen; Guoyin Wang 002; Wenlin Wang; Martin Renqiang Min; Qinliang Su; Yizhe Zhang 002; Chunyuan Li; Ricardo Henao; Lawrence Carin (ACL (1), 2018)

Joint Embedding of Words and Labels for Text Classification. - Guoyin Wang 002; Chunyuan Li; Wenlin Wang; Yizhe Zhang 002; Dinghan Shen; Xinyuan Zhang 001; Ricardo Henao; Lawrence Carin (ACL (1), 2018)

Topic Compositional Neural Language Model. - Wenlin Wang; Zhe Gan; Wenqi Wang 001; Dinghan Shen; Jiaji Huang; Wei Ping; Sanjeev Satheesh; Lawrence Carin (AISTATS, 2018)

Learning Context-Aware Convolutional Filters for Text Processing. - Dinghan Shen; Martin Renqiang Min; Yitong Li 001; Lawrence Carin (EMNLP, 2018)

Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment. - Dinghan Shen; Xinyuan Zhang 001; Ricardo Henao; Lawrence Carin (EMNLP, 2018)

Adversarial Text Generation via Feature-Mover's Distance. - Liqun Chen 001; Shuyang Dai; Chenyang Tao; Haichao Zhang; Zhe Gan; Dinghan Shen; Yizhe Zhang 002; Guoyin Wang 002; Ruiyi Zhang 002; Lawrence Carin (NeurIPS, 2018)

Diffusion Maps for Textual Network Embedding. - Xinyuan Zhang 001; Yitong Li 001; Dinghan Shen; Lawrence Carin (NeurIPS, 2018)

Parametric t-Distributed Stochastic Exemplar-Centered Embedding. - Martin Renqiang Min; Hongyu Guo; Dinghan Shen (ECML/PKDD (1), 2018)

Adversarial Text Generation via Feature-Mover's Distance. - Liqun Chen 001; Shuyang Dai; Chenyang Tao; Dinghan Shen; Zhe Gan; Haichao Zhang; Yizhe Zhang 002; Lawrence Carin (CoRR, 2018)

Sequence Generation with Guider Network. - Ruiyi Zhang 002; Changyou Chen; Zhe Gan; Wenlin Wang; Liqun Chen 001; Dinghan Shen; Guoyin Wang 002; Lawrence Carin (CoRR, 2018)

Improving Textual Network Embedding with Global Attention via Optimal Transport. - Liqun Chen 001; Guoyin Wang 002; Chenyang Tao; Dinghan Shen; Pengyu Cheng; Xinyuan Zhang 001; Wenlin Wang; Yizhe Zhang 002; Lawrence Carin (ACL (1), 2019)

Learning Compressed Sentence Representations for On-Device Text Processing. - Dinghan Shen; Pengyu Cheng; Dhanasekar Sundararaman; Xinyuan Zhang 001; Qian Yang 003; Meng Tang; Asli Celikyilmaz; Lawrence Carin (ACL (1), 2019)

Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. - Dinghan Shen; Asli Celikyilmaz; Yizhe Zhang 002; Liqun Chen 001; Xin Wang 061; Jianfeng Gao 001; Lawrence Carin (ACL (1), 2019)

Syntax-Infused Variational Autoencoder for Text Generation. - Xinyuan Zhang 001; Yi Yang 038; Siyang Yuan; Dinghan Shen; Lawrence Carin (ACL (1), 2019)

Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation. - Xin Wang 061; Qiuyuan Huang; Asli Celikyilmaz; Jianfeng Gao 001; Dinghan Shen; Yuan-Fang Wang; William Yang Wang; Lei Zhang 001 (CVPR, 2019)

Document Hashing with Mixture-Prior Generative Models. - Wei Dong; Qinliang Su; Dinghan Shen; Changyou Chen (EMNLP/IJCNLP (1), 2019)

An End-to-End Generative Architecture for Paraphrase Generation. - Qian Yang 003; Zhouyuan Huo; Dinghan Shen; Yong Cheng; Wenlin Wang; Guoyin Wang 002; Lawrence Carin (EMNLP/IJCNLP (1), 2019)

Improving Sequence-to-Sequence Learning via Optimal Transport. - Liqun Chen 001; Yizhe Zhang 002; Ruiyi Zhang 002; Chenyang Tao; Zhe Gan; Haichao Zhang; Bai Li 001; Dinghan Shen; Changyou Chen; Lawrence Carin (ICLR (Poster), 2019)

Topic-Guided Variational Auto-Encoder for Text Generation. - Wenlin Wang; Zhe Gan; Hongteng Xu; Ruiyi Zhang 002; Guoyin Wang 002; Dinghan Shen; Changyou Chen; Lawrence Carin (NAACL-HLT (1), 2019)

Topic-Guided Variational Autoencoders for Text Generation. - Wenlin Wang; Zhe Gan; Hongteng Xu; Ruiyi Zhang 002; Guoyin Wang 002; Dinghan Shen; Changyou Chen; Lawrence Carin (CoRR, 2019)

Straight-Through Estimator as Projected Wasserstein Gradient Flow. - Pengyu Cheng; Chang Liu 030; Chunyuan Li; Dinghan Shen; Ricardo Henao; Lawrence Carin (CoRR, 2019)

Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding. - Dhanasekar Sundararaman; Vivek Subramanian; Guoyin Wang 002; Shijing Si; Dinghan Shen; Dong Wang 037; Lawrence Carin (CoRR, 2019)

Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. - Pengyu Cheng; Martin Renqiang Min; Dinghan Shen; Christopher Malon; Yizhe Zhang 002; Yitong Li 001; Lawrence Carin (ACL, 2020)

Improving Adversarial Text Generation by Modeling the Distant Future. - Ruiyi Zhang 002; Changyou Chen; Zhe Gan; Wenlin Wang; Dinghan Shen; Guoyin Wang 002; Zheng Wen; Lawrence Carin (ACL, 2020)

Generative Semantic Hashing Enhanced via Boltzmann Machines. - Lin Zheng; Qinliang Su; Dinghan Shen; Changyou Chen (ACL, 2020)

Improving Text Generation with Student-Forcing Optimal Transport. - Jianqiao Li; Chunyuan Li; Guoyin Wang 002; Hao Fu 002; Yuh-Chen Lin; Liqun Chen 001; Yizhe Zhang 002; Chenyang Tao; Ruiyi Zhang 002; Wenlin Wang; Dinghan Shen; Qian Yang 003; et al. (EMNLP (1), 2020)

A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation. - Dinghan Shen; Mingzhi Zheng; Yelong Shen; Yanru Qu; Weizhu Chen (CoRR, 2020)

Improving Self-supervised Pre-training via a Fully-Explored Masked Language Model. - Mingzhi Zheng; Dinghan Shen; Yelong Shen; Weizhu Chen; Lin Xiao (CoRR, 2020)

Deep Latent-Variable Models for Natural Language Understanding and Generation. - Dinghan Shen (2020)

HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability. - Jiaao Chen; Dinghan Shen; Weizhu Chen; Diyi Yang (ACL/IJCNLP (1), 2021)

Syntactic Knowledge-Infused Transformer and BERT Models. - Dhanasekar Sundararaman; Vivek Subramanian; Guoyin Wang 002; Shijing Si; Dinghan Shen; Dong Wang 037; Lawrence Carin (CIKM Workshops, 2021)

MixKD: Towards Efficient Distillation of Large-scale Language Models. - Kevin J. Liang; Weituo Hao; Dinghan Shen; Yufan Zhou 001; Weizhu Chen; Changyou Chen; Lawrence Carin (ICLR, 2021)

CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding. - Yanru Qu; Dinghan Shen; Yelong Shen; Sandra Sajeev; Weizhu Chen; Jiawei Han 001 (ICLR, 2021)

HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalization. - Jiaao Chen; Dinghan Shen; Weizhu Chen; Diyi Yang (CoRR, 2021)

Vision-Language Navigation Policy Learning and Adaptation. - Xin Wang 061; Qiuyuan Huang; Asli Celikyilmaz; Jianfeng Gao 001; Dinghan Shen; Yuan-Fang Wang; William Yang Wang; Lei Zhang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

What Makes Good In-Context Examples for GPT-3? - Jiachang Liu 001; Dinghan Shen; Yizhe Zhang 002; Bill Dolan; Lawrence Carin; Weizhu Chen (DeeLIO@ACL, 2022)

LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries. - Ming Yin; Dinghan Shen; Silei Xu; Jianbing Han; Sixun Dong; Mian Zhang; Yebowen Hu; Shujian Liu; Simin Ma; Song Wang; Sathish Reddy Indurthi; Xun Wang; et al. (CoRR, 2025)