conftrace_

Yu Yang

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

Achievements

Jump to papers ↓
+13 more ↓ 🧭 Keyword Pioneer 🌍 Conference Polyglot (14) πŸ—ΊοΈ Taxonomy Completionist (17) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (12)
πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (10) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (28) πŸ—ƒοΈ Keyword Collector (218) πŸ’Ž Century Club (46) πŸš€ Conference Pioneer ⚑ Prolific Year (10) πŸ“ˆ Trend Setter πŸ”₯ 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)

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