Yanshuai Cao - RankMe

52 papers A* 11A 1Journal 31Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LassoFlexNet: Flexible Neural Architecture for Tabular Data. CoRR Kry Yik Chau Lui, Cheng Chi, Kishore Basu, Yanshuai Cao
2025	A*	`conf`	Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation. EMNLP Ziling Cheng, Meng Cao, Leila Pishdad, Yanshuai Cao, Jackie CK Cheung
2025	J	`jnl`	Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation. CoRR Ziling Cheng, Meng Cao, Leila Pishdad, Yanshuai Cao, Jackie Chi Kit Cheung
2025	A*	`conf`	EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation. AAAI Yuqiao Wen, Behzad Shayegh, Chenyang Huang, Yanshuai Cao, Lili Mou
2025	J	`jnl`	Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization. CoRR Yuqiao Wen, Yanshuai Cao, Lili Mou
2025	J	`jnl`	LoRAQuant: Mixed-Precision Quantization of LoRA to Ultra-Low Bits. CoRR Amir Reza Mirzaei, Yuqiao Wen, Yanshuai Cao, Lili Mou
2024	A*	`conf`	Do LLMs Build World Representations? Probing Through the Lens of State Abstraction. NeurIPS Zichao Li, Yanshuai Cao, Jackie CK Cheung
2024	J	`jnl`	EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation. CoRR Yuqiao Wen, Behzad Shayegh, Chenyang Huang, Yanshuai Cao, Lili Mou
2024	A*	`conf`	Ensemble Distillation for Unsupervised Constituency Parsing. ICLR Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie C. K. Cheung, Lili Mou
2024	A*	`conf`	Flora: Low-Rank Adapters Are Secretly Gradient Compressors. ICML Yongchang Hao, Yanshuai Cao, Lili Mou
2024	J	`jnl`	Flora: Low-Rank Adapters Are Secretly Gradient Compressors. CoRR Yongchang Hao, Yanshuai Cao, Lili Mou
2024	J	`jnl`	Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks. CoRR Yongchang Hao, Yanshuai Cao, Lili Mou
2024	A*	`conf`	Jump Starting Bandits with LLM-Generated Prior Knowledge. EMNLP Parand A. Alamdari, Yanshuai Cao, Kevin H. Wilson
2024	J	`jnl`	Jump Starting Bandits with LLM-Generated Prior Knowledge. CoRR Parand A. Alamdari, Yanshuai Cao, Kevin H. Wilson
2024	J	`jnl`	Leveraging Environment Interaction for Automated PDDL Generation and Planning with Large Language Models. CoRR Sadegh Mahdavi, Raquel Aoki, Keyi Tang, Yanshuai Cao
2024	A*	`conf`	Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models. NeurIPS Sadegh Mahdavi, Raquel Aoki, Keyi Tang, Yanshuai Cao
2024	J	`jnl`	NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks. CoRR Yongchang Hao, Yanshuai Cao, Lili Mou
2023	A*	`conf`	An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation. ICLR Yuqiao Wen, Yongchang Hao, Yanshuai Cao, Lili Mou
2023	J	`jnl`	Ensemble Distillation for Unsupervised Constituency Parsing. CoRR Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie Chi Kit Cheung, Lili Mou
2022	J	`jnl`	An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation. CoRR Yuqiao Wen, Yongchang Hao, Yanshuai Cao, Lili Mou
2021	—	`conf`	A Globally Normalized Neural Model for Semantic Parsing. SPNLP@ACL-IJCNLP Chenyang Huang, Wei Yang, Yanshuai Cao, Osmar Zaïane, Lili Mou
2021	J	`jnl`	A Globally Normalized Neural Model for Semantic Parsing. CoRR Chenyang Huang, Wei Yang, Yanshuai Cao, Osmar R. Zaïane, Lili Mou
2021	—	`conf`	Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data. ACL/IJCNLP (2) Sajad Norouzi, Keyi Tang, Yanshuai Cao
2021	J	`jnl`	Hierarchical Neural Data Synthesis for Semantic Parsing. CoRR Wei Yang, Peng Xu, Yanshuai Cao
2021	—	`conf`	Optimizing Deeper Transformers on Small Datasets. ACL/IJCNLP (1) Peng Xu, Dhruv Kumar, Wei Yang, Wenjie Zi, Keyi Tang, Chenyang Huang, Jackie Chi Kit Cheung, Simon J. D. Prince, Yanshuai Cao
2021	J	`jnl`	Semantic Parsing with Less Prior and More Monolingual Data. CoRR Sajad Norouzi, Yanshuai Cao
2021	—	`conf`	TURING: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface. ACL (demo) Peng Xu, Wenjie Zi, Hamidreza Shahidi, Ákos Kádár, Keyi Tang, Wei Yang, Jawad Ateeq, Harsh Barot, Meidan Alon, Yanshuai Cao
2021	J	`jnl`	Turing: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface. CoRR Peng Xu, Wenjie Zi, Hamidreza Shahidi, Ákos Kádár, Keyi Tang, Wei Yang, Jawad Ateeq, Harsh Barot, Meidan Alon, Yanshuai Cao
2020	A	`conf`	Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer. AISTATS Yanshuai Cao, Peng Xu
2020	A*	`conf`	Evaluating Lossy Compression Rates of Deep Generative Models. ICML Sicong Huang, Alireza Makhzani, Yanshuai Cao, Roger B. Grosse
2020	J	`jnl`	Evaluating Lossy Compression Rates of Deep Generative Models. CoRR Sicong Huang, Alireza Makhzani, Yanshuai Cao, Roger B. Grosse
2020	A*	`conf`	On Variational Learning of Controllable Representations for Text without Supervision. ICML Peng Xu, Jackie Chi Kit Cheung, Yanshuai Cao
2020	J	`jnl`	Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing. CoRR Peng Xu, Wei Yang, Wenjie Zi, Keyi Tang, Chengyang Huang, Jackie Chi Kit Cheung, Yanshuai Cao
2020	J	`jnl`	Variational Hyper RNN for Sequence Modeling. CoRR Ruizhi Deng, Yanshuai Cao, Bo Chang, Leonid Sigal, Greg Mori, Marcus A. Brubaker
2019	—	`conf`	A Cross-Domain Transferable Neural Coherence Model. ACL (1) Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung
2019	J	`jnl`	A Cross-Domain Transferable Neural Coherence Model. CoRR Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung
2019	J	`jnl`	Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer. CoRR Yanshuai Cao, Peng Xu
2019	J	`jnl`	Preventing Posterior Collapse in Sequence VAEs with Pooling. CoRR Teng Long, Yanshuai Cao, Jackie Chi Kit Cheung
2019	J	`jnl`	Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement. CoRR Peng Xu, Yanshuai Cao, Jackie Chi Kit Cheung
2018	—	`conf`	Adversarial Contrastive Estimation. ACL (1) Avishek Joey Bose, Huan Ling, Yanshuai Cao
2018	J	`jnl`	Adversarial Contrastive Estimation. CoRR Avishek Joey Bose, Huan Ling, Yanshuai Cao
2018	J	`jnl`	Few-Shot Self Reminder to Overcome Catastrophic Forgetting. CoRR Junfeng Wen, Yanshuai Cao, Ruitong Huang
2018	—	`conf`	Improving GAN Training via Binarized Representation Entropy (BRE) Regularization. ICLR (Poster) Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui, Ruitong Huang
2018	J	`jnl`	Improving GAN Training via Binarized Representation Entropy (BRE) Regularization. CoRR Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui, Ruitong Huang
2018	—	`—`	Scaling Gaussian Processes. Yanshuai Cao
2017	J	`jnl`	Automatic Selection of t-SNE Perplexity. CoRR Yanshuai Cao, Luyu Wang
2016	A*	`conf`	Adversarial Manipulation of Deep Representations. ICLR (Poster) Sara Sabour, Yanshuai Cao, Fartash Faghri, David J. Fleet
2015	J	`jnl`	Efficient Optimization for Sparse Gaussian Process Regression. IEEE Trans. Pattern Anal. Mach. Intell. Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann
2015	J	`jnl`	Transductive Log Opinion Pool of Gaussian Process Experts. CoRR Yanshuai Cao, David J. Fleet
2014	J	`jnl`	Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions. CoRR Yanshuai Cao, David J. Fleet
2013	—	`conf`	Efficient Optimization for Sparse Gaussian Process Regression. NIPS Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann
2013	J	`jnl`	Efficient Optimization for Sparse Gaussian Process Regression. CoRR Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann