Yitong Li
64 papers · 2012–2026 · 19 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 20 separate collaboration groups - the largest holds only 25% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
Which Yitong Li?
11 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Lawrence Carin, David Carlson, michael Murias
12 papers
· 2017–2022
· NeurIPS, WACV, JMLR
Hide ▲
Learning to Weight Filter Groups for Robust Classification
WACV 2022
Estimating Uncertainty Intervals from Collaborating Networks
JMLR 2021
Dynamic Embedding on Textual Networks via a Gaussian Process
AAAI 2020
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance
ACL 2020
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods
NeurIPS 2019
On Target Shift in Adversarial Domain Adaptation
AISTATS 2019
StoryGAN: A Sequential Conditional GAN for Story Visualization
CVPR 2019
Diffusion Maps for Textual Network Embedding
NeurIPS 2018
Extracting Relationships by Multi-Domain Matching
NeurIPS 2018
Learning Context-Sensitive Convolutional Filters for Text Processing
EMNLP 2018
Multi-Label Learning from Medical Plain Text with Convolutional Residual Models
MLHC 2018
Targeting EEG/LFP Synchrony with Neural Nets
NeurIPS 2017
9 papers whose co-authors appear nowhere else under this name
Captain Safari: A World Engine with Pose-Aligned 3D Memory
CVPR 2026
Real Garment Benchmark (RGBench): A Comprehensive Benchmark for Robotic Garment Manipulation Featuring a High-Fidelity Scalable Simulator
AAAI 2026
CodeDiffuser: Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity
RSS 2025
Mixture of Lookup Experts
ICML 2025
Step Guided Reasoning: Improving Mathematical Reasoning using Guidance Generation and Step Reasoning
EMNLP 2025
VLR-Driver: Large Vision-Language-Reasoning Models for Embodied Autonomous Driving
ICCV 2025
Diffusion Spectral Representation for Reinforcement Learning
NeurIPS 2024
Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification
AAAI 2024
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness
EMNLP 2020