Yu Yang

50 papers · 2013–2026 · 14 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (10) 🌍 Conference Polyglot (14) 🏃 Academic Marathon (12) 🐝 Cross-Pollinator (8) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (17) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (10) 👑 Triple Crown 🏆 Grand Slam 👥 Mega-Team (28) 🗃️ Keyword Collector (218) 💎 Century Club (46) 🚀 Conference Pioneer ⚡ Prolific Year (10) 📈 Trend Setter 🔥 Unstoppable (5)

Conferences

AAAI (10) ICLR (8) ICML (7) NIPS (7) IJCAI (4) CVPR (3) AISTATS (2) ECCV (2) ICCV (2) ACL (1) EMNLP (1) NAACL (1) NSDI (1) WACV (1)

Top co-authors

Baharan Mirzasoleiman (10) Xiangyang Ji (5) Qixin Zhang (4) Jiannong Cao (3) Hakan Bilen (3) Zaiyi Chen (3) Enhong Chen (3) Haoyuan Hu (3) Desheng Zhang (2) Shuai Wang (2)

Research topics

Privacy (2) Applications (1)

Keywords

worst-group accuracy (3) regret bound (3) data poisoning (3) representation learning (3) generative adversarial network (3) spurious correlation (3) gradient matching (2) behavioral cloning (2) foreground-background segmentation (2) image segmentation (2) convolutional neural network (2) multi-task learning (2) unsupervised learning (2) mutual information (2) knowledge distillation (2) text summarization (2) autonomous driving (2) importance sampling (2) backdoor attack (2) large language model (2)

Papers

Continuous Vision-Language-Action Co-Learning with Semantic-Physical Alignment for Behavioral Cloning AAAI 2026

LiDARCrafter: Dynamic 4D World Modeling from LiDAR Sequences AAAI 2026

Multi-Window Gabor Transform Network for Ground Penetrating Radar B-Scan Image Reconstruction AAAI 2026

Towards Training-Free and Accurate ANN-to-SNN Conversion via Activation-Aware Redistribution AAAI 2026

HCRide: Harmonizing Passenger Fairness and Driver Preference for Human-Centered Ride-Hailing IJCAI 2025

Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures ICLR 2025

AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories ICLR 2025

WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning ICLR 2025

LLM-based Collaborative Agents with Pedagogy-guided Interaction Modeling for Timely Instructive Feedback Generation in Task-oriented Group Discussions IJCAI 2025

Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving AAAI 2025

Mixture of Knowledge Minigraph Agents for Literature Review Generation AAAI 2025

FairTP: A Prolonged Fairness Framework for Traffic Prediction AAAI 2025

Adaptive Multi-Faceted Service Capabilities Co-Prediction for Nationwide Terminal Stations in Logistics AAAI 2025

VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents ICLR 2025

BSO: Binary Spiking Online Optimization Algorithm ICML 2025

Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency ICLR 2025

Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings ICML 2024

SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models NIPS 2024

Optimal Batched Best Arm Identification NIPS 2024

Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations AAAI 2024

Scented-EAE: Stage-Customized Entity Type Embedding for Event Argument Extraction ACL 2024

Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias AISTATS 2024

Sieve: Multimodal Dataset Pruning using Image Captioning Models CVPR 2024

Dual-Camera Smooth Zoom on Mobile Phones ECCV 2024

On the Stability of Expressive Positional Encodings for Graphs ICLR 2024

Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality ICLR 2024

Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning ICML 2023

Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests ICML 2023

MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy NIPS 2023

ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation AAAI 2023

Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback AISTATS 2023

CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning ICCV 2023

Robust Learning with Progressive Data Expansion Against Spurious Correlation NIPS 2023

Boosting Summarization with Normalizing Flows and Aggressive Training EMNLP 2023

Towards Sustainable Learning: Coresets for Data-efficient Deep Learning ICML 2023

Sequence-to-Set Generative Models NIPS 2022

Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention CVPR 2022

Not All Poisons are Created Equal: Robust Training against Data Poisoning ICML 2022

Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function ICML 2022

Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack NIPS 2022

Learning Foreground-Background Segmentation From Improved Layered GANs WACV 2022

Learning to Annotate Part Segmentation with Gradient Matching ICLR 2022

Distilling Representations from GAN Generator via Squeeze and Span NIPS 2022

Language Scaling for Universal Suggested Replies Model NAACL 2021

From Conception to Retirement: a Lifetime Story of a 3-Year-Old Wireless Beacon System in the Wild NSDI 2021

Interpreting CNNs via Decision Trees CVPR 2019

Dynamic Filtering with Large Sampling Field for ConvNets ECCV 2018

Maximizing the Coverage of Information Propagation in Social Networks IJCAI 2015

PIEFA: Personalized Incremental and Ensemble Face Alignment ICCV 2015

PageRank with Priors: An Influence Propagation Perspective IJCAI 2013