← Authors

Yu Zheng

40 papers · 2016–2026 · 10 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (5) 🌈 Renaissance Researcher (9) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (86) 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (9) πŸ† Grand Slam πŸ† Keyword Champion (2) 🧬 Topic Evolution πŸ”₯ Unstoppable (8) ⚑ Prolific Year (6) πŸ’Ž Century Club (39) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (191)

Conferences

AAAI (11) CVPR (7) NIPS (6) ICLR (4) IJCAI (4) ICCV (2) ICML (2) INTERSPEECH (2) COLING (1) ECCV (1)

Top co-authors

Jiwen Lu (7) Junbo Zhang (7) Jie Zhou (7) Yuxuan Liang (6) Yueqi Duan (6) Mi Zhang (3) Shirui Pan (3) Songyu Ke (3) Danyang Zhang (2) Wenzhao Zheng (2)

Keywords

few-shot learning (4) attention mechanism (4) graph neural network (3) self-supervised learning (3) spatio-temporal representation (2) domain generalization (2) distribution shift (2) recurrent neural network (2) spatio-temporal correlation (2) node classification (2) transformer architecture (2) neural network (2) 3d object detection (2) binary cross-entropy (2) federated learning (2) convolutional neural network (2) feature learning (2) transfer learning (1) contrastive learning (1) self-attention mechanism (1)

Papers

ResProto-FD: Visual-Language Residual Prototype Sets for Generalized Face Forgery Detection AAAI 2026
Guided Real Image Dehazing Using YCbCr Color Space AAAI 2025
Learning Counterfactually Decoupled Attention for Open-World Model Attribution ICCV 2025
Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection ICLR 2025
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression ICLR 2025
D3QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection ICCV 2025
Reinforcement Learning with Adaptive Reward Modeling for Expensive-to-Evaluate Systems ICML 2025
AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks AAAI 2025
NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling ICLR 2024
Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation NIPS 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning NIPS 2024
Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation AAAI 2023
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction AAAI 2023
AirFormer: Predicting Nationwide Air Quality in China with Transformers AAAI 2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs ICML 2023
Dynamic Fully-Connected Layer for Large-Scale Speaker Verification INTERSPEECH 2023
Curricular Contrastive Regularization for Physics-Aware Single Image Dehazing CVPR 2023
Semantic Ray: Learning a Generalizable Semantic Field With Cross-Reprojection Attention CVPR 2023
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning NIPS 2023
HyperDet3D: Learning a Scene-Conditioned 3D Object Detector CVPR 2022
A Unified Model for Multi-class Anomaly Detection NIPS 2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination NIPS 2022
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning AAAI 2022
NSP-BERT: A Prompt-based Few-Shot Learner through an Original Pre-training Task β€”β€” Next Sentence Prediction COLING 2022
Back to Reality: Weakly-Supervised 3D Object Detection With Shape-Guided Label Enhancement CVPR 2022
Deep AutoAugment ICLR 2022
Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning AAAI 2021
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network AAAI 2021
Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment CVPR 2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? NIPS 2020
Learning to Generate Maps from Trajectories AAAI 2020
Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning IJCAI 2020
Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach AAAI 2020
Rotation-robust Intersection over Union for 3D Object Detection ECCV 2020
Structural Relational Reasoning of Point Clouds CVPR 2019
COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis CVPR 2019
GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction IJCAI 2018
Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition INTERSPEECH 2018
ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data IJCAI 2016
Urban Water Quality Prediction Based on Multi-Task Multi-View Learning IJCAI 2016