Feng Liang
32 papers · 2007–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13) π Conference Polyglot (11)
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Hot Topic Early Bird
π§
Keyword Pioneer
π
Interdisciplinary Bridge
π
Keyword Champion
π
Grand Slam
π
Century Club
(30)
π
Conference Pioneer
π
Trend Setter
β‘
Prolific Year
(5)
π₯
Unstoppable
(7)
ποΈ
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)
Top co-authors
Keywords
neural architecture search
(4)
diffusion model
(3)
object detection
(3)
model compression
(3)
graphical model
(2)
recommender system
(2)
video-to-video synthesis
(2)
neural network architecture
(2)
supervised dimension reduction
(2)
semantic segmentation
(2)
human pose estimation
(2)
federated learning
(2)
representation learning
(2)
video editing
(2)
dirichlet process
(2)
dimension reduction
(2)
video generation
(2)
structure recovery
(2)
bayesian inference
(2)
vision transformer
(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