Yu Yang
50 papers · 2013–2026 · 14 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (14) πΊοΈ Taxonomy Completionist (17) π Interdisciplinary Bridge π Academic Marathon (12)
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Taxonomy Completionist
(17)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π€
Dynamic Duo
(10)
π
Triple Crown
π
Grand Slam
π₯
Mega-Team
(28)
ποΈ
Keyword Collector
(218)
π
Century Club
(46)
π
Conference Pioneer
β‘
Prolific Year
(10)
π
Trend Setter
π₯
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
Research topics
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