Yao Lu

64 papers · 2015–2026 · 16 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (16) 🏃 Academic Marathon (10) 🌈 Renaissance Researcher (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (10) 🗺️ Taxonomy Completionist (88) 🤝 Dynamic Duo (12) 🏆 Grand Slam 👥 Mega-Team (58) 🧬 Topic Evolution 💎 Century Club (62) 🚀 Conference Pioneer 🗃️ Keyword Collector (244) 🔥 Unstoppable (8) ⚡ Prolific Year (6)

Conferences

CVPR (9) AAAI (7) ICLR (7) CORL (6) EMNLP (6) ICCV (4) ICML (4) IJCAI (4) NIPS (4) NAACL (3) ACL (2) MICCAI (2) RSS (2) WACV (2) ACML (1) ECCV (1)

Top co-authors

Ted Xiao (12) Karol Hausman (11) Song Han (11) Sergey Levine (10) Chelsea Finn (8) Keerthana Gopalakrishnan (8) Guangming Lu (8) Kanishka Rao (7) Yevgen Chebotar (7) Hongxu Yin (6)

Research topics

Optimization (1)

Keywords

multi-task learning (5) model compression (5) vision-language model (4) robotic manipulation (4) large language model (4) reinforcement learning (3) convolutional neural network (3) imitation learning (3) neural network (3) optical flow (3) information retrieval (2) representation learning (2) offline reinforcement learning (2) contrastive learning (2) unsupervised learning (2) multimodal learning (2) knowledge distillation (2) motion estimation (2) self-supervised learning (2) question answering (2)

Papers

TimeCAP: A Channel-Aware Pre-Training Framework for Multivariate Time Series Forecasting AAAI 2026

SepPrune: Structured Pruning for Efficient Deep Speech Separation AAAI 2026

SSHR: More Secure Generative Steganography with High-Quality Revealed Secret Images ICML 2025

ALRMR-GEC: Adjusting Learning Rate Based on Memory Rate to Optimize the Edit Scorer for Grammatical Error Correction AAAI 2025

CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models CVPR 2025

RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models CVPR 2025

NVILA: Efficient Frontier Visual Language Models CVPR 2025

Scaling Vision Pre-Training to 4K Resolution CVPR 2025

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge CVPR 2025

SynC-LLM: Generation of Large-Scale Synthetic Circuit Code with Hierarchical Language Models EMNLP 2025

Multilingual Language Model Pretraining using Machine-translated Data EMNLP 2025

OkraLong: A Flexible Retrieval-Augmented Framework for Long-Text Question Answering EMNLP 2025

SparseVILA: Decoupling Visual Sparsity for Efficient VLM Inference ICCV 2025

DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer ICCV 2025

COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training ICLR 2025

VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation ICLR 2025

LongVILA: Scaling Long-Context Visual Language Models for Long Videos ICLR 2025

SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers ICLR 2025

HART: Efficient Visual Generation with Hybrid Autoregressive Transformer ICLR 2025

Efficient and Separate Authentication Image Steganography Network ICML 2025

Multimodal Fusion Network with Distribution-based Tumor-Marker Imputation for Multi-Origin Metastatic Cervical Lymphadenopathy Classification MICCAI 2025

Implicit Prompt Learning for Image Denoising IJCAI 2024

Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation EMNLP 2024

UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis NIPS 2024

AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages NAACL 2024

RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches ICLR 2024

QFormer: An Efficient Quaternion Transformer for Image Denoising IJCAI 2024

Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation NAACL 2024

Dual-Modality Watershed Fusion Network for Thyroid Nodule Classification of Dual-View CEUS Video MICCAI 2024

RT-1: Robotics Transformer for Real-World Control at Scale RSS 2023

Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents NIPS 2023

Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research NIPS 2023

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators RSS 2023

Token Turing Machines CVPR 2023

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control CORL 2023

Open-World Object Manipulation using Pre-Trained Vision-Language Models CORL 2023

Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions CORL 2023

Jump-Start Reinforcement Learning ICML 2023

Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning ICLR 2022

Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity ACL 2022

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances CORL 2022

PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale CORL 2022

Detail-Preserving Transformer for Light Field Image Super-resolution AAAI 2022

Understanding the Dynamics of DNNs Using Graph Modularity ECCV 2022

Learning Optical Flow From a Few Matches CVPR 2021

Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills ICML 2021

Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning NIPS 2021

AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale CORL 2021

Vid2Int: Detecting Implicit Intention From Long Dialog Videos WACV 2021

Learning To Estimate Hidden Motions With Global Motion Aggregation ICCV 2021

Taskology: Utilizing Task Relations at Scale CVPR 2021

A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry AAAI 2021

Devon: Deformable Volume Network for Learning Optical Flow WACV 2020

Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles EMNLP 2020

Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction ACL 2020

Super Sparse Convolutional Neural Networks AAAI 2019

A Multi-Task Learning Framework for Abstractive Text Summarization AAAI 2019

Separate Loss for Basic and Compound Facial Expression Recognition in the Wild ACML 2019

Natural Language Generation for Effective Knowledge Distillation EMNLP 2019

AAR-CNNs: Auto Adaptive Regularized Convolutional Neural Networks IJCAI 2018

Unsupervised Learning on Neural Network Outputs: With Application in Zero-Shot Learning IJCAI 2016

Coherent Parametric Contours for Interactive Video Object Segmentation CVPR 2016

Detecting “Smart” Spammers on Social Network: A Topic Model Approach NAACL 2016

Contour Flow: Middle-Level Motion Estimation by Combining Motion Segmentation and Contour Alignment ICCV 2015