Yang You

79 papers · 2016–2026 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) 🏃 Academic Marathon (9) 🐝 Cross-Pollinator (8) 🧬 Topic Evolution 🏆 Grand Slam 🏆 Keyword Champion 👑 Triple Crown 🤝 Dynamic Duo (26) 👥 Mega-Team (21) 🔬 Deep Specialist (11) ⚡ Prolific Year (19) 🗃️ Keyword Collector (294) 🔥 Unstoppable (6) ❓ The Questioner (3) 💎 Century Club (77)

Conferences

CVPR (16) ICLR (13) ICML (11) NIPS (10) AAAI (9) ACL (4) ECCV (4) EMNLP (4) ICCV (4) CORL (2) IJCAI (1) UAI (1)

Top co-authors

Kai Wang (27) Zangwei Zheng (12) Fuzhao Xue (11) Cewu Lu (11) Weiming Wang (7) Leonidas Guibas (6) Cho-jui Hsieh (6) Yang Luo (6) Wangbo Zhao (6) Ziheng Qin (6)

Keywords

dataset distillation (4) large language model (4) vision transformer (4) point cloud (4) neural network optimization (3) 3d vision (3) knowledge distillation (3) keypoint detection (3) 3d reconstruction (2) distributed training (2) optical flow (2) benchmark evaluation (2) metric learning (2) representation learning (2) image synthesis (2) self-supervised learning (2) continual learning (2) transformer architecture (2) contrastive learning (2) object detection (2)

Papers

MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models AAAI 2026

Scalable Solution Methods for Dec-POMDPs with Deterministic Dynamics 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

DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers ICML 2025

ARCH: Hierarchical Hybrid Learning for Long-Horizon Contact-Rich Robotic Assembly CORL 2025

Robot Learning from Any Images CORL 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

Real-Time Video Generation with Pyramid Attention Broadcast ICLR 2025

MixEval-X: Any-to-any Evaluations from Real-world Data Mixture ICLR 2025

Can a Large Language Model be a Gaslighter? ICLR 2025

DavIR: Data Selection via Implicit Reward for Large Language Models ACL 2025

Summarizing Stream Data for Memory-Constrained Online Continual Learning AAAI 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

Efficient Dataset Distillation via Minimax Diffusion CVPR 2024

Bridging the Gap Between Human Motion and Action Semantics via Kinematics Phrases ECCV 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

Monte-Carlo Search for an Equilibrium in Dec-POMDPs UAI 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

CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU AAAI 2023

A Study on Transformer Configuration and Training Objective ICML 2023

Adaptive Computation with Elastic Input Sequence ICML 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

To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis NIPS 2023

Does Graph Distillation See Like Vision Dataset Counterpart? NIPS 2023

Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes CVPR 2022

Random Sharpness-Aware Minimization NIPS 2022

SentBS: Sentence-level Beam Search for Controllable Summarization EMNLP 2022

MReD: A Meta-Review Dataset for Structure-Controllable Text Generation ACL 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

UKPGAN: A General Self-Supervised Keypoint Detector CVPR 2022

An Efficient Training Approach for Very Large Scale Face Recognition CVPR 2022

Towards Efficient and Scalable Sharpness-Aware Minimization CVPR 2022

Modeling Motion With Multi-Modal Features for Text-Based Video Segmentation CVPR 2022

CAFE: Learning To Condense Dataset by Aligning Features CVPR 2022

Skeleton Merger: An Unsupervised Aligned Keypoint Detector CVPR 2021

Large Batch Optimization for Deep Learning: Training BERT in 76 minutes ICLR 2020

Human Correspondence Consensus for 3D Object Semantic Understanding ECCV 2020

Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution AAAI 2020

KeypointNet: A Large-Scale 3D Keypoint Dataset Aggregated From Numerous Human Annotations CVPR 2020

Asynchronous Parallel Greedy Coordinate Descent NIPS 2016