← Authors

Dinghan Shen

30 papers · 2017–2022 · 9 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (5) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (65) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (9) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (9) 🀝 Dynamic Duo (23) 🌱 Topic Pioneer πŸ† Keyword Champion (2) ❓ The Questioner πŸ“ˆ Trend Setter ⚑ Prolific Year (8) πŸ—ƒοΈ Keyword Collector (140) πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (30)

Conferences

ACL (12) EMNLP (5) ICLR (3) IJCNLP (3) NIPS (3) AISTATS (1) CVPR (1) ICML (1) NAACL (1)

Top co-authors

Lawrence Carin (23) Guoyin Wang (11) Yizhe Zhang (11) Wenlin Wang (10) Zhe Gan (7) Changyou Chen (7) Xinyuan Zhang (6) Ricardo Henao (6) Liqun Chen (5) Qinliang Su (5)

Keywords

text generation (7) variational autoencoder (4) optimal transport (3) binary code (3) imitation learning (3) text classification (3) latent representation (2) semantic hashing (2) latent variable (2) representation learning (2) paraphrase generation (2) vertex classification (2) graph representation (2) link prediction (2) information retrieval (2) attention mechanism (2) adversarial training (2) data augmentation (2) variational inference (2) out-of-distribution generalization (2)

Papers

What Makes Good In-Context Examples for GPT-3? ACL 2022
MixKD: Towards Efficient Distillation of Large-scale Language Models ICLR 2021
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding ICLR 2021
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability IJCNLP 2021
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability ACL 2021
Generative Semantic Hashing Enhanced via Boltzmann Machines ACL 2020
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance ACL 2020
Improving Text Generation with Student-Forcing Optimal Transport EMNLP 2020
Improving Adversarial Text Generation by Modeling the Distant Future ACL 2020
Syntax-Infused Variational Autoencoder for Text Generation ACL 2019
Document Hashing with Mixture-Prior Generative Models EMNLP 2019
An End-to-End Generative Architecture for Paraphrase Generation EMNLP 2019
Improving Sequence-to-Sequence Learning via Optimal Transport ICLR 2019
An End-to-End Generative Architecture for Paraphrase Generation IJCNLP 2019
Document Hashing with Mixture-Prior Generative Models IJCNLP 2019
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models ACL 2019
Improving Textual Network Embedding with Global Attention via Optimal Transport ACL 2019
Topic-Guided Variational Auto-Encoder for Text Generation NAACL 2019
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation CVPR 2019
Learning Compressed Sentence Representations for On-Device Text Processing ACL 2019
Topic Compositional Neural Language Model AISTATS 2018
Adversarial Text Generation via Feature-Mover's Distance NIPS 2018
Diffusion Maps for Textual Network Embedding NIPS 2018
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms ACL 2018
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing ACL 2018
Joint Embedding of Words and Labels for Text Classification ACL 2018
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment EMNLP 2018
Learning Context-Sensitive Convolutional Filters for Text Processing EMNLP 2018
Adversarial Feature Matching for Text Generation ICML 2017
Deconvolutional Paragraph Representation Learning NIPS 2017