Yang You

GroupToM-Bench: Benchmarking Group Theory of Mind and Nonlinear Social Emergence in MLLMs ACL 2026 Scalable Solution Methods for Dec-POMDPs with Deterministic Dynamics AAAI 2026 MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models AAAI 2026 Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models ICLR 2025 AllTracker: Efficient Dense Point Tracking at High Resolution ICCV 2025 A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training CVPR 2025 A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs CVPR 2025 Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios CVPR 2025 A Finite-State Controller Based Offline Solver for Deterministic POMDPs IJCAI 2025 ARCH: Hierarchical Hybrid Learning for Long-Horizon Contact-Rich Robotic Assembly CORL 2025 Robot Learning from Any Images CORL 2025 DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers ICML 2025 Info-Coevolution: An Efficient Framework for Data Model Coevolution ICML 2025 MERIT: Maximum-normalized Element-wise Ratio for Language Model Large-batch Training ICML 2025 SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning ICML 2025 Unsupervised Learning for Class Distribution Mismatch ICML 2025 Dynamic Diffusion Transformer ICLR 2025 Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning ICLR 2025 DavIR: Data Selection via Implicit Reward for Large Language Models ACL 2025 Real-Time Video Generation with Pyramid Attention Broadcast ICLR 2025 Can a Large Language Model be a Gaslighter? ICLR 2025 MixEval-X: Any-to-any Evaluations from Real-world Data Mixture ICLR 2025 Bridging the Gap Between Human Motion and Action Semantics via Kinematics Phrases ECCV 2024 SpeedLoader: An I/O efficient scheme for heterogeneous and distributed LLM operation NIPS 2024 Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality NIPS 2024 MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures NIPS 2024 ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field NIPS 2024 Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation NIPS 2024 Primitive-Based 3D Human-Object Interaction Modelling and Programming AAAI 2024 Summarizing Stream Data for Memory-Constrained Online Continual Learning AAAI 2024 Efficient Dataset Distillation via Minimax Diffusion CVPR 2024 Dataset Growth ECCV 2024 PACE: Pose Annotations in Cluttered Environments ECCV 2024 How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning? EMNLP 2024 AutoChunk: Automated Activation Chunk for Memory-Efficient Deep Learning Inference ICLR 2024 SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation ICLR 2024 InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning ICLR 2024 Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching ICLR 2024 GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding ICML 2024 OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models ICML 2024 DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation ICML 2024 Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching ICML 2024 CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU AAAI 2023 Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization EMNLP 2023 A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization EMNLP 2023 CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame AAAI 2023 Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models ICCV 2023 Dataset Quantization ICCV 2023 DREAM: Efficient Dataset Distillation by Representative Matching ICCV 2023 Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors ICLR 2023 GPTR: Gestalt-Perception Transformer for Diagram Object Detection AAAI 2023 Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline NIPS 2023 CAME: Confidence-guided Adaptive Memory Efficient Optimization ACL 2023 Sequence Parallelism: Long Sequence Training from System Perspective ACL 2023 A Study on Transformer Configuration and Training Objective ICML 2023 Adaptive Computation with Elastic Input Sequence ICML 2023 Monte-Carlo Search for an Equilibrium in Dec-POMDPs UAI 2023 To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis NIPS 2023 BiCro: Noisy Correspondence Rectification for Multi-Modality Data via Bi-Directional Cross-Modal Similarity Consistency CVPR 2023 MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID CVPR 2023 Does Graph Distillation See Like Vision Dataset Counterpart? NIPS 2023 Go Wider Instead of Deeper AAAI 2022 An Efficient Training Approach for Very Large Scale Face Recognition CVPR 2022 Towards Efficient and Scalable Sharpness-Aware Minimization CVPR 2022 MReD: A Meta-Review Dataset for Structure-Controllable Text Generation ACL 2022 Random Sharpness-Aware Minimization NIPS 2022 CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild CVPR 2022 CAFE: Learning To Condense Dataset by Aligning Features CVPR 2022 Modeling Motion With Multi-Modal Features for Text-Based Video Segmentation CVPR 2022 Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes CVPR 2022 SentBS: Sentence-level Beam Search for Controllable Summarization EMNLP 2022 Concurrent Adversarial Learning for Large-Batch Training ICLR 2022 Crafting Better Contrastive Views for Siamese Representation Learning CVPR 2022 UKPGAN: A General Self-Supervised Keypoint Detector CVPR 2022 Skeleton Merger: An Unsupervised Aligned Keypoint Detector CVPR 2021 KeypointNet: A Large-Scale 3D Keypoint Dataset Aggregated From Numerous Human Annotations CVPR 2020 Large Batch Optimization for Deep Learning: Training BERT in 76 minutes ICLR 2020 Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution AAAI 2020 Human Correspondence Consensus for 3D Object Semantic Understanding ECCV 2020 Asynchronous Parallel Greedy Coordinate Descent NIPS 2016