Yihong Wu

26 papers · 2015–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🏃 Academic Marathon (10) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (6) 🗺️ Taxonomy Completionist (53) 🌉 Interdisciplinary Bridge 🧬 Topic Evolution 🏆 Keyword Champion (3) 💎 Century Club (24) 📈 Trend Setter 🔥 Unstoppable (6) 🗃️ 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

Jiaming Xu (6) Yury Polyanskiy (4) Pengju Zhang (3) Chade Li (3) Soham Jana (3) Hao Wei (3) Jian-Yun Nie (3) Bruce Hajek (3) Yanjun Han (3) Ananda Theertha Suresh (2)

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