Liu, Yong
236 publications
NeurIPS
2025
AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding
NeurIPS
2025
Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens Are Information Peaks in LLM Reasoning
CVPR
2025
GroundingFace: Fine-Grained Face Understanding via Pixel Grounding Multimodal Large Language Model
ICCV
2025
InstructSeg: Unifying Instructed Visual Segmentation with Multi-Modal Large Language Models
ICLR
2025
MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection
ICLR
2025
On the Importance of Language-Driven Representation Learning for Heterogeneous Federated Learning
NeurIPS
2025
P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models
ICML
2025
Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning
ICLR
2025
Super(ficial)-Alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization
IJCAI
2025
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization
ICLR
2025
Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization
NeurIPS
2025
X-Scene: Large-Scale Driving Scene Generation with High Fidelity and Flexible Controllability
NeurIPS
2024
BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays
NeurIPS
2024
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
NeurIPS
2024
Enhancing In-Context Learning Performance with Just SVD-Based Weight Pruning: A Theoretical Perspective
NeurIPSW
2024
EnzymeFlow: Generating Reaction-Specific Enzyme Catalytic Pockets Through Flow Matching and Co-Evolutionary Dynamics
AAAI
2024
High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm
JMLR
2024
Information-Theoretic Generalization Bounds for Transductive Learning and Its Applications
AAAI
2024
Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding
CVPR
2024
SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking
NeurIPS
2024
Towards Understanding How Transformers Learn In-Context Through a Representation Learning Lens
CVPR
2023
High-Fidelity Generalized Emotional Talking Face Generation with Multi-Modal Emotion Space Learning
NeurIPS
2023
SUBP: Soft Uniform Block Pruning for 1$\times$N Sparse CNNs Multithreading Acceleration
ICCV
2023
Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking
CoRL
2023
TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning
NeurIPS
2022
Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms
AAAI
2022
SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolution
NeurIPS
2022
Stability and Generalization of Kernel Clustering: From Single Kernel to Multiple Kernel
NeurIPS
2021
Improved Learning Rates of a Functional Lasso-Type SVM with Sparse Multi-Kernel Representation
IJCAI
2019
Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns