Yuhao Wang

STMI: Segmentation-Guided Token Modulation with Cross-Modal Hypergraph Interaction for Multi-Modal Object Re-Identification AAAI 2026 Cross-Modal Coreference Alignment: Enabling Reliable Information Transfer in Omni-LLMs ACL 2026 Reinforced Informativeness Optimization for Long-Form Retrieval-Augmented Generation ACL 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 Signal: Selective Interaction and Global-local Alignment for Multi-Modal Object Re-Identification AAAI 2026 CADTrack: Learning Contextual Aggregation with Deformable Alignment for Robust RGBT Tracking AAAI 2026 Miner: Mining Intrinsic Mastery for Data-Efficient RL in Large Reasoning Models ACL 2026 Uncovering Pretraining Code in LLMs: A Syntax-Aware Attribution Approach AAAI 2026 BEE-RAG: Balanced Entropy Engineering for Retrieval-Augmented Generation AAAI 2026 When Seeing Is not Enough: Revealing the Limits of Active Reasoning in MLLMs ACL 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 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 Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement ICLR 2025 Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound MICCAI 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 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 Optimal estimation of Gaussian (poly)trees AISTATS 2024 LLMBox: A Comprehensive Library for Large Language Models ACL 2024 Knowledge-aware Reinforced Language Models for Protein Directed Evolution ICML 2024 G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models NIPS 2024 TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation AAAI 2024 REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering EMNLP 2024 Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification CVPR 2024 MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception ACL 2024 Bayesian Risk-Averse Q-Learning with Streaming Observations NIPS 2023 Identifiability of Linear AMP Chain Graph Models AAAI 2022 Learning Sparse Fixed-Structure Gaussian Bayesian Networks AISTATS 2022 Joint Inference of Multiple Graphs from Matrix Polynomials JMLR 2022 Learning in the Frequency Domain CVPR 2020 Permutation-Based Causal Structure Learning with Unknown Intervention Targets UAI 2020 Anchored Causal Inference in the Presence of Measurement Error UAI 2020 Learning High-dimensional Gaussian Graphical Models under Total Positivity without Adjustment of Tuning Parameters AISTATS 2020 Direct Estimation of Differences in Causal Graphs NIPS 2018 Permutation-based Causal Inference Algorithms with Interventions NIPS 2017