Yihong Wu
26 papers · 2015–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (10) π Academic Marathon (10) π Cross-Pollinator (12)
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Renaissance Researcher
(6)
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Taxonomy Completionist
(53)
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Interdisciplinary Bridge
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Topic Evolution
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Keyword Champion
(3)
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Century Club
(24)
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Trend Setter
π₯
Unstoppable
(6)
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Keyword Collector
(149)
Conferences
COLT (11)
AAAI (4)
NIPS (3)
EMNLP (2)
ACL (1)
CVPR (1)
ICCV (1)
ICML (1)
JMLR (1)
WACV (1)
Top co-authors
Keywords
sample complexity
(3)
community detection
(3)
large language model
(3)
empirical baye
(3)
information retrieval
(2)
submatrix localization
(2)
minimax estimation
(2)
kullback-leibler divergence
(2)
prediction risk
(2)
graph matching
(2)
markov chain
(2)
text generation
(1)
semidefinite programming
(1)
kl divergence
(1)
attention mechanism
(1)
action recognition
(1)
3d reconstruction
(1)
depth estimation
(1)
hierarchical modeling
(1)
semantic segmentation
(1)
Papers
Sparse3DPR: Training-Free 3D Hierarchical Scene Parsing and Task-Adaptive Subgraph Reasoning from Sparse RGB Views
AAAI 2026
MR-COSMO: Visual-Text Memory Recall and Direct CrOSs-MOdal Alignment Method for Query-Driven 3D Segmentation
AAAI 2026
3D-SLNR: A Super Lightweight Neural Representation for Large-scale 3D Mapping
CVPR 2025
FEAST-Mamba: FEAture and SpaTial Aware Mamba Network with Bidirectional Orthogonal Fusion for Cross-Modal Point Cloud Segmentation
AAAI 2025
MatSpectNet: Material Segmentation Network with Domain-Aware and Physically-Constrained Hyperspectral Reconstruction
WACV 2025
Hi-Gaussian: Hierarchical Gaussians under Normalized Spherical Projection for Single-View 3D Reconstruction
ICCV 2025
Exploring the Best Practices of Query Expansion with Large Language Models
EMNLP 2024
ViSTec: Video Modeling for Sports Technique Recognition and Tactical Analysis
AAAI 2024
Optimal score estimation via empirical Bayes smoothing
COLT 2024
Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes
COLT 2024
Entropic characterization of optimal rates for learning Gaussian mixtures
COLT 2023
ConvGQR: Generative Query Reformulation for Conversational Search
ACL 2023
Empirical Bayes via ERM and Rademacher complexities: the Poisson model
COLT 2023
MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model
EMNLP 2023
Random Graph Matching in Geometric Models: the Case of Complete Graphs
COLT 2022
Optimal prediction of Markov chains with and without spectral gap
NIPS 2021
Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory
ICML 2020
Extrapolating the profile of a finite population
COLT 2020
Consistent recovery threshold of hidden nearest neighbor graphs
COLT 2020
Entropy Rate Estimation for Markov Chains with Large State Space
NIPS 2018
Counting Motifs with Graph Sampling
COLT 2018
Data Amplification: A Unified and Competitive Approach to Property Estimation
NIPS 2018
Submatrix localization via message passing
JMLR 2018
Sample complexity of population recovery
COLT 2017
Semidefinite Programs for Exact Recovery of a Hidden Community
COLT 2016
Computational Lower Bounds for Community Detection on Random Graphs
COLT 2015