Yi Ding
21 papers · 2017–2026 · 13 conferences · across top CS/AI conferences
Achievements
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Taxonomy Completionist
(46)
π§
Keyword Pioneer
π
Grand Slam
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Keyword Champion
β‘
Prolific Year
(5)
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The Questioner
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Century Club
(18)
ποΈ
Keyword Collector
(120)
Conferences
AAAI (4)
NIPS (4)
ACL (2)
ICLR (2)
AACL (1)
AISTATS (1)
CVPR (1)
ECCV (1)
EMNLP (1)
ICML (1)
IJCNLP (1)
NSDI (1)
WACV (1)
Top co-authors
Research topics
Keywords
label noise
(3)
vision-language model
(2)
preference feedback
(2)
large language model
(2)
data augmentation
(2)
multimodal learning
(2)
semi-supervised learning
(2)
graph neural network
(2)
image classification
(2)
transfer learning
(1)
image fusion
(1)
graph representation learning
(1)
performance optimization
(1)
model quantization
(1)
noisy label learning
(1)
point cloud analysis
(1)
object detection
(1)
test-time adaptation
(1)
depth estimation
(1)
causal discovery
(1)
Papers
ForeDiffusion: Foresight-Conditioned Diffusion Policy via Future View Construction for Robot Manipulation
AAAI 2026
EEG-DLite: Dataset Distillation for Efficient Large EEG Model Training
AAAI 2026
GFT: Graph Feature Tuning for Efficient Point Cloud Analysis
WACV 2026
Can a Unimodal Language Agent Provide Preferences to Tune a Multimodal Vision-Language Model?
AACL 2025
Unveiling Environmental Impacts of Large Language Model Serving: A Functional Unit View
ACL 2025
ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time
ICLR 2025
Can a Unimodal Language Agent Provide Preferences to Tune a Multimodal Vision-Language Model?
IJCNLP 2025
MamBEV: Enabling State Space Models to Learn Birds-Eye-View Representations
ICLR 2025
Visual Contextual Attack: Jailbreaking MLLMs with Image-Driven Context Injection
EMNLP 2025
SparseSSP: 3D Subcellular Structure Prediction from Sparse-View Transmitted Light Images
ECCV 2024
Test-Time Dynamic Image Fusion
NIPS 2024
Noise Correction on Subjective Datasets
ACL 2024
Predictive Dynamic Fusion
ICML 2024
Augmentation Strategies for Learning With Noisy Labels
CVPR 2021
From Conception to Retirement: a Lifetime Story of a 3-Year-Old Wireless Beacon System in the Wild
NSDI 2021
Improving Label Noise Robustness with Data Augmentation and Semi-Supervised Learning (Student Abstract)
AAAI 2021
Handling Missing Data with Graph Representation Learning
NIPS 2020
Exploring the Benefits of Depth Information in Object Pixel Masking (Student Abstract)
AAAI 2020
A polynomial-time algorithm for learning nonparametric causal graphs
NIPS 2020
Dynamical Systems Theory for Causal Inference with Application to Synthetic Control Methods
AISTATS 2020
Multiresolution Kernel Approximation for Gaussian Process Regression
NIPS 2017