conftrace_

xue wang

27 papers · 2018–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (7) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (10)
🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (52) 🀝 Dynamic Duo (11) πŸ‘‘ Triple Crown πŸ† Grand Slam ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (98) πŸ”₯ Unstoppable (5) ❓ The Questioner πŸ’Ž Century Club (25)

Conferences

ICML (8) AAAI (4) NIPS (4) CVPR (2) ECCV (2) ICCV (2) ICLR (2) IJCAI (2) EACL (1)

Papers

SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting AAAI 2026 Incentivizing Strong Reasoning from Weak Supervision EACL 2026 Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? ICML 2025 Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response ICML 2025 R^2-Art: Category-Level Articulation Pose Estimation from Single RGB Image via Cascade Render Strategy AAAI 2025 MM-RLHF: The Next Step Forward in Multimodal LLM Alignment ICML 2025 AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization ICML 2025 Pre-defined Keypoints Promote Category-level Articulation Pose Estimation via Multi-Modal Alignment IJCAI 2025 GARF: Learning Generalizable 3D Reassembly for Real-World Fractures ICCV 2025 CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting ICLR 2024 U-COPE: Taking a Further Step to Universal 9D Category-level Object Pose Estimation ECCV 2024 MASTER: Market-Guided Stock Transformer for Stock Price Forecasting AAAI 2024 Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games ICML 2024 DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching NIPS 2024 Free Lunch for Domain Adversarial Training: Environment Label Smoothing ICLR 2023 One Fits All: Power General Time Series Analysis by Pretrained LM NIPS 2023 OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling NIPS 2023 Progressive Backdoor Erasing via Connecting Backdoor and Adversarial Attacks CVPR 2023 Counterfactual-based Saliency Map: Towards Visual Contrastive Explanations for Neural Networks ICCV 2023 AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation ICML 2023 Fast and Unsupervised Action Boundary Detection for Action Segmentation CVPR 2022 Scaled ReLU Matters for Training Vision Transformers AAAI 2022 FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting NIPS 2022 FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting ICML 2022 KVT: k-NN Attention for Boosting Vision Transformers ECCV 2022 Time Series Data Augmentation for Deep Learning: A Survey IJCAI 2021 Minimax Concave Penalized Multi-Armed Bandit Model with High-Dimensional Covariates ICML 2018