← Authors

Wenlin Wang

21 papers · 2018–2021 · 10 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (56) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (10) 🌍 Conference Polyglot (10) 🀝 Dynamic Duo (18) πŸ’Ž Century Club (21) πŸ“ˆ Trend Setter ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (109)

Conferences

ACL (5) NIPS (4) AAAI (3) AISTATS (2) EMNLP (2) CVPR (1) ICML (1) IJCNLP (1) NAACL (1) WACV (1)

Top co-authors

Lawrence Carin (18) Guoyin Wang (13) Dinghan Shen (10) Zhe Gan (6) Liqun Chen (6) Qian Yang (6) Yizhe Zhang (5) Ruiyi Zhang (5) Ricardo Henao (5) Changyou Chen (5)

Keywords

optimal transport (5) text generation (5) generative model (4) sequence generation (3) word embedding (3) language model (2) variational autoencoder (2) network embedding (2) wasserstein distance (2) topic model (2) paraphrase generation (2) text classification (2) attention mechanism (2) imitation learning (2) graph representation (2) machine translation (2) reinforcement learning (2) adversarial training (2) recurrent neural network (2) textual network (2)

Papers

Zero-Shot Recognition via Optimal Transport WACV 2021
Learning to Recommend from Sparse Data via Generative User Feedback AAAI 2021
Nested-Wasserstein Self-Imitation Learning for Sequence Generation AISTATS 2020
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning AAAI 2020
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning AAAI 2020
Improving Adversarial Text Generation by Modeling the Distant Future ACL 2020
Improving Text Generation with Student-Forcing Optimal Transport EMNLP 2020
Improving Textual Network Embedding with Global Attention via Optimal Transport ACL 2019
Ouroboros: On Accelerating Training of Transformer-Based Language Models NIPS 2019
Certified Adversarial Robustness with Additive Noise NIPS 2019
Improving Textual Network Learning with Variational Homophilic Embeddings NIPS 2019
An End-to-End Generative Architecture for Paraphrase Generation EMNLP 2019
An End-to-End Generative Architecture for Paraphrase Generation IJCNLP 2019
Topic-Guided Variational Auto-Encoder for Text Generation NAACL 2019
Wide Compression: Tensor Ring Nets CVPR 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
Continuous-Time Flows for Efficient Inference and Density Estimation ICML 2018
Distilled Wasserstein Learning for Word Embedding and Topic Modeling NIPS 2018
Topic Compositional Neural Language Model AISTATS 2018
Joint Embedding of Words and Labels for Text Classification ACL 2018