Yuhao Wang

47 papers · 2017–2026 · 15 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (8) 🐝 Cross-Pollinator (12) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (79) 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (15) 👥 Mega-Team (25) 🏆 Grand Slam 🧬 Topic Evolution 🏆 Keyword Champion ❓ The Questioner 🗃️ Keyword Collector (203) 💎 Century Club (38) 📈 Trend Setter ⚡ Prolific Year (8) 🔥 Unstoppable (5)

Conferences

AAAI (14) ACL (5) AISTATS (5) NIPS (4) CVPR (3) EMNLP (3) UAI (3) COLING (2) MICCAI (2) ICCV (1) ICLR (1) ICML (1) JMLR (1) NAACL (1) WACV (1)

Top co-authors

Pingping Zhang (9) Caroline Uhler (6) Huchuan Lu (6) Ji-Rong Wen (4) Xiangyu Zhao (4) Ruiyang Ren (4) Arnab Bhattacharyya (4) Yu Wang (3) Yanfeng Wang (3) Xuehu Liu (3)

Research topics

Keywords

large language model (9) multi-modal object re-identification (5) multi-modal learning (5) causal inference (4) directed acyclic graph (4) retrieval-augmented generation (4) structure learning (4) object re-identification (4) gaussian graphical model (3) cross-modal retrieval (3) vision-language model (3) causal discovery (3) feature extraction (3) state space model (3) gene regulatory network (3) person re-identification (2) feature alignment (2) vision transformer (2) multimodal learning (2) factual knowledge (2)

Papers

STMI: Segmentation-Guided Token Modulation with Cross-Modal Hypergraph Interaction for Multi-Modal Object Re-Identification AAAI 2026

Signal: Selective Interaction and Global-local Alignment for Multi-Modal Object Re-Identification AAAI 2026

Do Large Language Models Reason About Uncertainty Like Humans? A Benchmark on Hurricane Forecast Visualization Comprehension AAAI 2026

Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection AAAI 2026

BEE-RAG: Balanced Entropy Engineering for Retrieval-Augmented Generation AAAI 2026

CADTrack: Learning Contextual Aggregation with Deformable Alignment for Robust RGBT Tracking AAAI 2026

Uncovering Pretraining Code in LLMs: A Syntax-Aware Attribution Approach AAAI 2026

W2S-AlignTree: Weak-to-Strong Inference-Time Alignment for Large Language Models via Monte Carlo Tree Search AAAI 2026

PEOD: A Pixel-Aligned Event-RGB Benchmark for Object Detection Under Challenging Conditions AAAI 2026

Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement ICLR 2025

DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification AAAI 2025

MambaPro: Multi-Modal Object Re-identification with Mamba Aggregation and Synergistic Prompt AAAI 2025

CLIMB-ReID: A Hybrid CLIP-Mamba Framework for Person Re-Identification AAAI 2025

Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization ACL 2025

EvolveBench: A Comprehensive Benchmark for Assessing Temporal Awareness in LLMs on Evolving Knowledge ACL 2025

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation ACL 2025

Learning High-dimensional Gaussians from Censored Data AISTATS 2025

Gaussian Mean Testing under Truncation AISTATS 2025

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations COLING 2025

Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation COLING 2025

IDEA: Inverted Text with Cooperative Deformable Aggregation for Multi-modal Object Re-Identification CVPR 2025

VocalNet: Speech LLMs with Multi-Token Prediction for Faster and High-Quality Generation EMNLP 2025

SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis EMNLP 2025

UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale ICCV 2025

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound MICCAI 2025

TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Models MICCAI 2025

Breaking Down Power Barriers in On-Device Streaming ASR: Insights and Solutions NAACL 2025

Toward Universal Laws of Outlier Propagation UAI 2025

Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation WACV 2025

MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception ACL 2024

TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation AAAI 2024

G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models NIPS 2024

Optimal estimation of Gaussian (poly)trees AISTATS 2024

Knowledge-aware Reinforced Language Models for Protein Directed Evolution ICML 2024

Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification CVPR 2024

REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering EMNLP 2024

LLMBox: A Comprehensive Library for Large Language Models ACL 2024

Bayesian Risk-Averse Q-Learning with Streaming Observations NIPS 2023

Joint Inference of Multiple Graphs from Matrix Polynomials JMLR 2022

Learning Sparse Fixed-Structure Gaussian Bayesian Networks AISTATS 2022

Identifiability of Linear AMP Chain Graph Models AAAI 2022

Learning in the Frequency Domain CVPR 2020

Learning High-dimensional Gaussian Graphical Models under Total Positivity without Adjustment of Tuning Parameters AISTATS 2020

Anchored Causal Inference in the Presence of Measurement Error UAI 2020

Permutation-Based Causal Structure Learning with Unknown Intervention Targets UAI 2020

Direct Estimation of Differences in Causal Graphs NIPS 2018

Permutation-based Causal Inference Algorithms with Interventions NIPS 2017