Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions. - Yanshuai Cao; David J. Fleet (CoRR, 2014)

Transductive Log Opinion Pool of Gaussian Process Experts. - Yanshuai Cao; David J. Fleet (CoRR, 2015)

Efficient Optimization for Sparse Gaussian Process Regression. - Yanshuai Cao; Marcus A. Brubaker; David J. Fleet; Aaron Hertzmann (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Adversarial Manipulation of Deep Representations. - Sara Sabour; Yanshuai Cao; Fartash Faghri; David J. Fleet (ICLR (Poster), 2016)

Automatic Selection of t-SNE Perplexity. - Yanshuai Cao; Luyu Wang (CoRR, 2017)

Adversarial Contrastive Estimation. - Avishek Joey Bose; Huan Ling; Yanshuai Cao (ACL (1), 2018)

Improving GAN Training via Binarized Representation Entropy (BRE) Regularization. - Yanshuai Cao; Gavin Weiguang Ding; Kry Yik-Chau Lui; Ruitong Huang (ICLR (Poster), 2018)

Few-Shot Self Reminder to Overcome Catastrophic Forgetting. - Junfeng Wen; Yanshuai Cao; Ruitong Huang (CoRR, 2018)

Scaling Gaussian Processes. - Yanshuai Cao (2018)

A Cross-Domain Transferable Neural Coherence Model. - Peng Xu; Hamidreza Saghir; Jin Sung Kang; Teng Long; Avishek Joey Bose; Yanshuai Cao; Jackie Chi Kit Cheung (ACL (1), 2019)

Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement. - Peng Xu; Yanshuai Cao; Jackie Chi Kit Cheung (CoRR, 2019)

Preventing Posterior Collapse in Sequence VAEs with Pooling. - Teng Long; Yanshuai Cao; Jackie Chi Kit Cheung (CoRR, 2019)

Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer. - Yanshuai Cao; Peng Xu (AISTATS, 2020)

Evaluating Lossy Compression Rates of Deep Generative Models. - Sicong Huang 001; Alireza Makhzani; Yanshuai Cao; Roger B. Grosse (ICML, 2020)

On Variational Learning of Controllable Representations for Text without Supervision. - Peng Xu; Jackie Chi Kit Cheung; Yanshuai Cao (ICML, 2020)

Variational Hyper RNN for Sequence Modeling. - Ruizhi Deng; Yanshuai Cao; Bo Chang 002; Leonid Sigal; Greg Mori; Marcus A. Brubaker (CoRR, 2020)

Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing. - Peng Xu; Wei Yang 017; Wenjie Zi; Keyi Tang; Chengyang Huang; Jackie Chi Kit Cheung; Yanshuai Cao (CoRR, 2020)

A Globally Normalized Neural Model for Semantic Parsing. - Chenyang Huang 001; Wei Yang 017; Yanshuai Cao; Osmar Zaïane; Lili Mou (SPNLP@ACL-IJCNLP, 2021)

Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data. - Sajad Norouzi; Keyi Tang; Yanshuai Cao (ACL/IJCNLP (2), 2021)

Optimizing Deeper Transformers on Small Datasets. - Peng Xu; Dhruv Kumar 005; Wei Yang 017; Wenjie Zi; Keyi Tang; Chenyang Huang 001; Jackie Chi Kit Cheung; Simon J. D. Prince; Yanshuai Cao (ACL/IJCNLP (1), 2021)

TURING: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface. - Peng Xu; Wenjie Zi; Hamidreza Shahidi; Ákos Kádár; Keyi Tang; Wei Yang 017; Jawad Ateeq; Harsh Barot; Meidan Alon; Yanshuai Cao (ACL (demo), 2021)

Semantic Parsing with Less Prior and More Monolingual Data. - Sajad Norouzi; Yanshuai Cao (CoRR, 2021)

Hierarchical Neural Data Synthesis for Semantic Parsing. - Wei Yang 017; Peng Xu; Yanshuai Cao (CoRR, 2021)

An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation. - Yuqiao Wen; Yongchang Hao; Yanshuai Cao; Lili Mou (ICLR, 2023)

Jump Starting Bandits with LLM-Generated Prior Knowledge. - Parand A. Alamdari; Yanshuai Cao; Kevin H. Wilson (EMNLP, 2024)

Ensemble Distillation for Unsupervised Constituency Parsing. - Behzad Shayegh; Yanshuai Cao; Xiaodan Zhu 001; Jackie C. K. Cheung; Lili Mou (ICLR, 2024)

Flora: Low-Rank Adapters Are Secretly Gradient Compressors. - Yongchang Hao; Yanshuai Cao; Lili Mou (ICML, 2024)

Do LLMs Build World Representations? Probing Through the Lens of State Abstraction. - Zichao Li; Yanshuai Cao; Jackie CK Cheung (NeurIPS, 2024)

Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models. - Sadegh Mahdavi; Raquel Aoki; Keyi Tang; Yanshuai Cao (NeurIPS, 2024)

Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks. - Yongchang Hao; Yanshuai Cao; Lili Mou (CoRR, 2024)

Leveraging Environment Interaction for Automated PDDL Generation and Planning with Large Language Models. - Sadegh Mahdavi; Raquel Aoki; Keyi Tang; Yanshuai Cao (CoRR, 2024)

NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks. - Yongchang Hao; Yanshuai Cao; Lili Mou (CoRR, 2024)

EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation. - Yuqiao Wen; Behzad Shayegh; Chenyang Huang 001; Yanshuai Cao; Lili Mou (AAAI, 2025)

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization. - Yuqiao Wen; Yanshuai Cao; Lili Mou (CoRR, 2025)

Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation. - Ziling Cheng; Meng Cao 003; Leila Pishdad; Yanshuai Cao; Jackie Chi Kit Cheung (CoRR, 2025)