Yanshuai Cao

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 35

Top Topics

Database Interface

Natural Language

Semantic Parsing

Gaussian Process

Top Venues

Publications

Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie C. K. Cheung, Lili Mou
Ensemble Distillation for Unsupervised Constituency Parsing. ICLR (2024)
Yongchang Hao, Yanshuai Cao, Lili Mou
Flora: Low-Rank Adapters Are Secretly Gradient Compressors. CoRR (2024)
Sadegh Mahdavi, Raquel Aoki, Keyi Tang, Yanshuai Cao
Leveraging Environment Interaction for Automated PDDL Generation and Planning with Large Language Models. CoRR (2024)
Yongchang Hao, Yanshuai Cao, Lili Mou
Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks. CoRR (2024)
Yuqiao Wen, Behzad Shayegh, Chenyang Huang, Yanshuai Cao, Lili Mou
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation. CoRR (2024)
Parand A. Alamdari, Yanshuai Cao, Kevin H. Wilson
Jump Starting Bandits with LLM-Generated Prior Knowledge. CoRR (2024)
Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie Chi Kit Cheung, Lili Mou
Ensemble Distillation for Unsupervised Constituency Parsing. CoRR (2023)
Yuqiao Wen, Yongchang Hao, Yanshuai Cao, Lili Mou
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation. ICLR (2023)
Yuqiao Wen, Yongchang Hao, Yanshuai Cao, Lili Mou
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation. CoRR (2022)
Chenyang Huang, Wei Yang, Yanshuai Cao, Osmar Zaïane, Lili Mou
A Globally Normalized Neural Model for Semantic Parsing. SPNLP@ACL-IJCNLP (2021)
Wei Yang, Peng Xu, Yanshuai Cao
Hierarchical Neural Data Synthesis for Semantic Parsing. CoRR (2021)
Sajad Norouzi, Yanshuai Cao
Semantic Parsing with Less Prior and More Monolingual Data. CoRR (2021)
Sajad Norouzi, Keyi Tang, Yanshuai Cao
Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data. ACL/IJCNLP (2) (2021)
Peng Xu, Dhruv Kumar, Wei Yang, Wenjie Zi, Keyi Tang, Chenyang Huang, Jackie Chi Kit Cheung, Simon J. D. Prince, Yanshuai Cao
Optimizing Deeper Transformers on Small Datasets. ACL/IJCNLP (1) (2021)
Chenyang Huang, Wei Yang, Yanshuai Cao, Osmar R. Zaïane, Lili Mou
A Globally Normalized Neural Model for Semantic Parsing. CoRR (2021)
Peng Xu, Wenjie Zi, Hamidreza Shahidi, Ákos Kádár, Keyi Tang, Wei Yang, Jawad Ateeq, Harsh Barot, Meidan Alon, Yanshuai Cao
Turing: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface. CoRR (2021)
Peng Xu, Wenjie Zi, Hamidreza Shahidi, Ákos Kádár, Keyi Tang, Wei Yang, Jawad Ateeq, Harsh Barot, Meidan Alon, Yanshuai Cao
TURING: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface. ACL (demo) (2021)
Yanshuai Cao, Peng Xu
Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer. AISTATS (2020)
Peng Xu, Jackie Chi Kit Cheung, Yanshuai Cao
On Variational Learning of Controllable Representations for Text without Supervision. ICML (2020)
Ruizhi Deng, Yanshuai Cao, Bo Chang, Leonid Sigal, Greg Mori, Marcus A. Brubaker
Variational Hyper RNN for Sequence Modeling. CoRR (2020)
Sicong Huang, Alireza Makhzani, Yanshuai Cao, Roger B. Grosse
Evaluating Lossy Compression Rates of Deep Generative Models. ICML (2020)
Peng Xu, Wei Yang, Wenjie Zi, Keyi Tang, Chengyang Huang, Jackie Chi Kit Cheung, Yanshuai Cao
Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing. CoRR (2020)
Sicong Huang, Alireza Makhzani, Yanshuai Cao, Roger B. Grosse
Evaluating Lossy Compression Rates of Deep Generative Models. CoRR (2020)
Peng Xu, Yanshuai Cao, Jackie Chi Kit Cheung
Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement. CoRR (2019)
Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung
A Cross-Domain Transferable Neural Coherence Model. ACL (1) (2019)
Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung
A Cross-Domain Transferable Neural Coherence Model. CoRR (2019)
Yanshuai Cao, Peng Xu
Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer. CoRR (2019)
Teng Long, Yanshuai Cao, Jackie Chi Kit Cheung
Preventing Posterior Collapse in Sequence VAEs with Pooling. CoRR (2019)
Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui, Ruitong Huang
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization. CoRR (2018)
Avishek Joey Bose, Huan Ling, Yanshuai Cao
Adversarial Contrastive Estimation. ACL (1) (2018)
Avishek Joey Bose, Huan Ling, Yanshuai Cao
Adversarial Contrastive Estimation. CoRR (2018)
Junfeng Wen, Yanshuai Cao, Ruitong Huang
Few-Shot Self Reminder to Overcome Catastrophic Forgetting. CoRR (2018)
Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui, Ruitong Huang
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization. ICLR (Poster) (2018)
Yanshuai Cao, Luyu Wang
Automatic Selection of t-SNE Perplexity. CoRR (2017)
Sara Sabour, Yanshuai Cao, Fartash Faghri, David J. Fleet
Adversarial Manipulation of Deep Representations. ICLR (Poster) (2016)
Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann
Efficient Optimization for Sparse Gaussian Process Regression. IEEE Trans. Pattern Anal. Mach. Intell. 37 (12) (2015)
Yanshuai Cao, David J. Fleet
Transductive Log Opinion Pool of Gaussian Process Experts. CoRR (2015)
Yanshuai Cao, David J. Fleet
Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions. CoRR (2014)
Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann
Efficient Optimization for Sparse Gaussian Process Regression. CoRR (2013)
Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann
Efficient Optimization for Sparse Gaussian Process Regression. NIPS (2013)