Sitong Wu
18 papers · 2022–2026 · 9 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
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(9)
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Learning Types Β· Machine Learning
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Computer Vision
(4)
Core Methods
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(3)
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large language model
(3)
semantic segmentation
(3)
policy optimization
(3)
reinforcement learning
(2)
data pruning
(2)
sample selection
(2)
credit assignment
(2)
image generation
(1)
vision transformer
(1)
contrastive learning
(1)
curriculum learning
(1)
object detection
(1)
embedding learning
(1)
coreset selection
(1)
feature extraction
(1)
visual reasoning
(1)
ensemble learning
(1)
image editing
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cross-modal learning
(1)
knowledge distillation
(1)
Papers
Dataset Distillation by Influence Matching
CVPR 2026
DreamOmni2: Multimodal Instruction-based Generation and Editing
CVPR 2026
Dynamic Important Example Mining for Reinforcement Finetuning
CVPR 2026
SearchGym: Bootstrapping Real-World Search Agents via Cost-Effective and High-Fidelity Environment Simulation
ACL 2026
TRAC: Teacher-Guided Token Reward with Adaptive Calibration for Robust Policy Optimization
ACL 2026
Unlocking Token Rewards via Training-Free Reward Attribution
CVPR 2026
VisionLeaf: Entropy-Guided Leaf-First Reasoning for Efficient and Accurate Think-with-Image
CVPR 2026
CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning
ICLR 2025
Data Pruning by Information Maximization
ICLR 2025
Logits-Based Finetuning
EMNLP 2025
Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition
ICCV 2025
Mixture-of-Scores: Robust Image-Text Data Valuation via Three Lines of Code
ICCV 2025
QuickLLaMA: Query-aware Inference Acceleration for Large Language Models
COLING 2025
SaCo Loss: Sample-wise Affinity Consistency for Vision-Language Pre-training
CVPR 2024
Data Pruning via Moving-one-Sample-out
NeurIPS 2023
CATrans: Context and Affinity Transformer for Few-Shot Segmentation
IJCAI 2022
Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention
AAAI 2022
Semantic Diffusion Network for Semantic Segmentation
NeurIPS 2022