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Yang You

83 papers · 2016–2026 · 12 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+13 more ↓ πŸ—ΊοΈ Taxonomy Completionist (107) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (21) πŸ† Grand Slam πŸ‘₯ Mega-Team Β· Squad πŸ† Keyword Champion (4) 🀝 Dynamic Duo (27) πŸ‘‘ Triple Crown ⚑ Prolific Year Β· Absurd πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner (3) πŸ’Ž Century Club Β· Silver 🌈 Renaissance Researcher (9) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (415)

Papers

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