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Yang Hu

26 papers · 2015–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ 🏃 Academic Marathon (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (5)
🐣 Hot Topic Early Bird 🏃 Academic Marathon (10) 🧭 Keyword Pioneer 🔥 Unstoppable (5) Prolific Year (8) 💎 Century Club (24) The Questioner 📈 Trend Setter 🗃️ Keyword Collector (120)

Conferences

CVPR (6) NIPS (5) AAAI (4) ICLR (3) ICCV (2) IJCAI (2) AISTATS (1) ECCV (1) L4DC (1) MICCAI (1)

Research topics

Papers

Pano-GS: Perception-Aware Gaussian Optimization with Gradient Consistency and Multi-Criteria Densification for High-Quality Rendering AAAI 2026 TraceTrans: Translation and Spatial Tracing for Surgical Prediction AAAI 2026 Can Machines Understand Composition? Dataset and Benchmark for Photographic Image Composition Embedding and Understanding CVPR 2025 Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters AAAI 2025 Primal-Dual Spectral Representation for Off-policy Evaluation AISTATS 2025 GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving CVPR 2025 Spatial Alignment and Temporal Matching Adapter for Video-Radar Remote Physiological Measurement ICCV 2025 RFMamba: Frequency-Aware State Space Model for RF-Based Human-Centric Perception ICLR 2025 Efficient Duple Perturbation Robustness in Low-rank MDPs L4DC 2025 Exploring Text-enhanced Mixture-of-Experts for Semi-supervised Medical Image Segmentation with Composite Data MICCAI 2025 Probing Social Bias in Labor Market Text Generation by ChatGPT: A Masked Language Model Approach NIPS 2024 Continual Learning for Remote Physiological Measurement: Minimize Forgetting and Simplify Inference ECCV 2024 Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity ICLR 2024 NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks ICLR 2024 Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection NIPS 2024 Learning-Based Tracking-before-Detect for RF-Based Unconstrained Indoor Human Tracking IJCAI 2024 DLBD: A Self-Supervised Direct-Learned Binary Descriptor CVPR 2023 Learning Token-Based Representation for Image Retrieval AAAI 2022 On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory NIPS 2022 Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity NIPS 2022 Personalized Outfit Recommendation With Learnable Anchors CVPR 2021 Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems NIPS 2021 Personalized Fashion Design ICCV 2019 Learning Binary Code for Personalized Fashion Recommendation CVPR 2019 Sampling for Approximate Maximum Search in Factorized Tensor IJCAI 2017 Person Re-Identification by Local Maximal Occurrence Representation and Metric Learning CVPR 2015