← Authors

Yuan Cao

71 papers · 2014–2026 · 14 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (11) 🌈 Renaissance Researcher (10) 🌍 Conference Polyglot (14) 🐝 Cross-Pollinator (11) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (21) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (14) πŸ† Keyword Champion (2) ⚑ Prolific Year (5) ❓ The Questioner (3) πŸ—ƒοΈ Keyword Collector (256) πŸ“ˆ Trend Setter πŸ’Ž Century Club (65) πŸ”₯ Unstoppable (8)

Conferences

NIPS (17) AAAI (13) ICLR (11) ACL (5) EMNLP (5) ICML (5) IJCAI (4) AISTATS (3) NAACL (3) COLT (1) ECCV (1) INTERSPEECH (1) JMLR (1) UAI (1)

Top co-authors

Quanquan Gu (21) Izhak Shafran (8) Difan Zou (7) Yonghui Wu (7) Jeffrey Zhao (6) Zixiang Chen (6) Mingqiu Wang (6) Orhan Firat (5) Yanwei Yu (5) Abhinav Rastogi (4)

Keywords

gradient descent (10) language model (5) convolutional neural network (5) dialogue state tracking (4) model compression (4) stochastic gradient descent (4) attention mechanism (4) unsupervised learning (4) transfer learning (4) representation learning (4) graph neural network (3) neural machine translation (3) contrastive learning (3) dialog state tracking (3) neural tangent kernel (3) generalization bound (3) image retrieval (3) benign overfitting (3) deep learning (2) neural network optimization (2)

Papers

Self-Supervised Cross-City Trajectory Representation Learning Based on Meta-Learning AAAI 2026
Proxy Zero-Shot Hashing with Multimodal Fusion via Stable Diffusion AAAI 2026
TrajAgg: Dual-Scale Feature Aggregation with Hybrid Training for Trajectory Similarity Computation in Free Space AAAI 2026
Automatic Channel Pruning by Searching with Structure Embedding for Hash Network AAAI 2026
Towards Understanding Generalization in DP-GD: A Case Study in Training Two-Layer CNNs AAAI 2026
Multiplex Heterogeneous Graph Neural Networks with Euclidean-Riemannian Mutual Space Synergy AAAI 2026
Deep Graph Online Hashing for Multi-Label Image Retrieval AAAI 2025
Vision-guided Text Mining for Unsupervised Cross-modal Hashing with Community Similarity Quantization AAAI 2025
Transformer Learns Optimal Variable Selection in Group-Sparse Classification ICLR 2025
On the Feature Learning in Diffusion Models ICLR 2025
Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons AISTATS 2025
On the Power of Multitask Representation Learning with Gradient Descent AISTATS 2025
Taxonomy Driven Fast Adversarial Training AAAI 2024
Multiple Descent in the Multiple Random Feature Model JMLR 2024
Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data ICML 2024
The Implicit Bias of Adam on Separable Data NIPS 2024
Global Convergence in Training Large-Scale Transformers NIPS 2024
IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers ECCV 2024
On the Comparison between Multi-modal and Single-modal Contrastive Learning NIPS 2024
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context NIPS 2024
Attention boosted Individualized Regression NIPS 2024
Can Public Large Language Models Help Private Cross-device Federated Learning? NAACL 2024
AnyTOD: A Programmable Task-Oriented Dialog System EMNLP 2023
Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization ICLR 2023
Understanding Train-Validation Split in Meta-Learning with Neural Networks ICLR 2023
How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study ICLR 2023
Benign Overfitting in Adversarially Robust Linear Classification UAI 2023
Tree of Thoughts: Deliberate Problem Solving with Large Language Models NIPS 2023
Binarized Neural Machine Translation NIPS 2023
Grammar Prompting for Domain-Specific Language Generation with Large Language Models NIPS 2023
Fast Online Hashing with Multi-Label Projection AAAI 2023
Graph Structure Learning on User Mobility Data for Social Relationship Inference AAAI 2023
Speech Aware Dialog System Technology Challenge (DSTC11) INTERSPEECH 2023
The Benefits of Mixup for Feature Learning ICML 2023
MUX-PLMs: Pre-training Language Models with Data Multiplexing ACL 2023
The Implicit Bias of Batch Normalization in Linear Models and Two-layer Linear Convolutional Neural Networks COLT 2023
ReAct: Synergizing Reasoning and Acting in Language Models ICLR 2023
MUX-PLMs: Data Multiplexing for High-throughput Language Models EMNLP 2023
Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation ACL 2022
Benign Overfitting in Two-layer Convolutional Neural Networks NIPS 2022
SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems AAAI 2022
Knowledge-grounded Dialog State Tracking EMNLP 2022
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision ICLR 2022
On the Channel Pruning using Graph Convolution Network for Convolutional Neural Network Acceleration IJCAI 2022
Unsupervised Slot Schema Induction for Task-oriented Dialog NAACL 2022
Show, Don’t Tell: Demonstrations Outperform Descriptions for Schema-Guided Task-Oriented Dialogue NAACL 2022
Towards Understanding the Spectral Bias of Deep Learning IJCAI 2021
A Comprehensive Survey on Image Dehazing Based on Deep Learning IJCAI 2021
Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures NIPS 2021
Understanding How Encoder-Decoder Architectures Attend NIPS 2021
The geometry of integration in text classification RNNs ICLR 2021
Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins ICML 2021
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise ICML 2021
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models ICLR 2021
How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks? ICLR 2021
Effective Sequence-to-Sequence Dialogue State Tracking EMNLP 2021
Agnostic Learning of a Single Neuron with Gradient Descent NIPS 2020
Accelerated Factored Gradient Descent for Low-Rank Matrix Factorization AISTATS 2020
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation ACL 2020
Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks IJCAI 2020
Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks AAAI 2020
A Generalized Neural Tangent Kernel Analysis for Two-layer Neural Networks NIPS 2020
Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling NIPS 2020
Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks NIPS 2019
Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B ACL 2019
Hierarchical Generative Modeling for Controllable Speech Synthesis ICLR 2019
Tight Sample Complexity of Learning One-hidden-layer Convolutional Neural Networks NIPS 2019
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks NIPS 2019
The Edge Density Barrier: Computational-Statistical Tradeoffs in Combinatorial Inference ICML 2018
Training Deeper Neural Machine Translation Models with Transparent Attention EMNLP 2018
Online Learning in Tensor Space ACL 2014