Yibo Wang
30 papers · 2022–2026 · 12 venues · across top CS/AI venues
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(15)
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(6)
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Machine Learning
(21)
Optimization & Theory
(14)
Mathematics & Optimization
(13)
Optimization
(13)
Learning Types
(10)
Artificial Intelligence
(9)
Core AI
(7)
Computer Vision
(5)
Deep Learning
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Natural Language Processing
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(2)
Keywords
regret bound
(6)
online convex optimization
(4)
variance reduction
(4)
large language model
(4)
compositional optimization
(3)
object detection
(3)
online learning
(3)
stochastic optimization
(3)
non-convex optimization
(3)
adaptive regret
(2)
meta algorithm
(2)
multi-label learning
(2)
strong convexity
(2)
diffusion model
(2)
data augmentation
(2)
sample complexity
(2)
feature space
(2)
open-set recognition
(2)
strongly convex
(2)
motion estimation
(1)
Papers
Classifier-induced Reciprocal Points for Multi-label Open-set Recognition
AAAI 2026
Why LLMs Hallucinate on Structured Knowledge: A Mechanistic Analysis of Reasoning over Linearized Representations
ACL 2026
Dimension-Free Adaptive Subgradient Methods with Frequent Directions
ICML 2025
KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA
ICLR 2025
Revisiting Projection-Free Online Learning with Time-Varying Constraints
AAAI 2025
TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency
ACL 2025
Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation
AAAI 2025
Universal Online Convex Optimization Meets Second-order Bounds
JMLR 2025
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions
NeurIPS 2024
Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees
NeurIPS 2024
DA3: A Distribution-Aware Adversarial Attack against Language Models
EMNLP 2024
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception
CVPR 2024
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation
ICLR 2024
High-Probability Bound for Non-Smooth Non-Convex Stochastic Optimization with Heavy Tails
ICML 2024
Joint RGB-Spectral Decomposition Model Guided Image Enhancement in Mobile Photography
ECCV 2024
kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning
NAACL 2024
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing
EMNLP 2024
Multi-Label Open Set Recognition
NeurIPS 2024
Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees
AAAI 2024
Online Composite Optimization Between Stochastic and Adversarial Environments
NeurIPS 2024
Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
ICML 2024
Small-loss Adaptive Regret for Online Convex Optimization
ICML 2024
Universal Online Convex Optimization with $1$ Projection per Round
NeurIPS 2024
Aperture Diffraction for Compact Snapshot Spectral Imaging
ICCV 2023
Distributed Projection-Free Online Learning for Smooth and Convex Losses
AAAI 2023
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables
IJCNLP 2023
Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach
IJCNLP 2023
Explore Spatio-Temporal Aggregation for Insubstantial Object Detection: Benchmark Dataset and Baseline
CVPR 2022
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization
NeurIPS 2022
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization
ICML 2022