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Feng Liang

32 papers · 2007–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🌍 Conference Polyglot (11)
🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ† Keyword Champion πŸ† Grand Slam πŸ’Ž Century Club (30) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (5) πŸ”₯ Unstoppable (7) πŸ—ƒοΈ Keyword Collector (164)

Conferences

AAAI (7) CVPR (7) NIPS (5) ICLR (3) JMLR (3) ICCV (2) AISTATS (1) AUTOML (1) ECCV (1) ICML (1) IJCAI (1)

Papers

mmJEPA-ECG: Cross-Posture Robust Contactless Electrocardiogram Monitoring via Millimeter Wave Radar Sensing AAAI 2026 NeSTR: A Neuro-Symbolic Abductive Framework for Temporal Reasoning in Large Language Models AAAI 2026 Looking Backward: Streaming Video-to-Video Translation with Feature Banks ICLR 2025 FedPall: Prototype-based Adversarial and Collaborative Learning for Federated Learning with Feature Drift ICCV 2025 Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts CVPR 2025 Extending Temperature Scaling with Homogenizing Maps JMLR 2025 Understanding Emotional Body Expressions via Large Language Models AAAI 2025 Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis CVPR 2024 FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis CVPR 2024 WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model ECCV 2024 Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions ICML 2024 MobileTL: On-Device Transfer Learning with Inverted Residual Blocks AAAI 2023 Open-Vocabulary Semantic Segmentation With Mask-Adapted CLIP CVPR 2023 Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm ICLR 2022 ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation AUTOML 2022 RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training IJCAI 2022 NASGEM: Neural Architecture Search via Graph Embedding Method AAAI 2021 Inception Convolution With Efficient Dilation Search CVPR 2021 FedRec++: Lossless Federated Recommendation with Explicit Feedback AAAI 2021 Once Quantization-Aware Training: High Performance Extremely Low-Bit Architecture Search ICCV 2021 GemBag: Group Estimation of Multiple Bayesian Graphical Models JMLR 2021 Reinforcement Learning-based Product Delivery Frequency Control AAAI 2021 Computation Reallocation for Object Detection ICLR 2020 Fully Quantized Network for Object Detection CVPR 2019 Bayesian Joint Estimation of Multiple Graphical Models NIPS 2019 PAC-Bayesian AUC classification and scoring NIPS 2014 On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification NIPS 2014 Learning Locally-Adaptive Decision Functions for Person Verification CVPR 2013 Supervised Dimension Reduction Using Bayesian Mixture Modeling AISTATS 2010 Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models NIPS 2009 Localized Sliced Inverse Regression NIPS 2008 Characterizing the Function Space for Bayesian Kernel Models JMLR 2007