Yu Zheng

41 papers · 2016–2026 · 11 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🏃 Academic Marathon (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (5)

🗺️ Taxonomy Completionist (86) 🌍 Conference Polyglot (10) 🏃 Academic Marathon (9) 🏆 Grand Slam 🏆 Keyword Champion (2) 🧬 Topic Evolution 🔥 Unstoppable (8) ⚡ Prolific Year (6) 💎 Century Club (39) ❓ The Questioner 🗃️ Keyword Collector (191)

Conferences

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

Top co-authors

Jie Zhou (7) Junbo Zhang (7) Jiwen Lu (7) Yuxuan Liang (6) Yueqi Duan (6) Shirui Pan (4) Mi Zhang (3) Songyu Ke (3) Danyang Zhang (2) Wenzhao Zheng (2)

Keywords

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

Papers

ResProto-FD: Visual-Language Residual Prototype Sets for Generalized Face Forgery Detection AAAI 2026 Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection ACL 2026 SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression ICLR 2025 Guided Real Image Dehazing Using YCbCr Color Space AAAI 2025 AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks AAAI 2025 D3QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection ICCV 2025 Learning Counterfactually Decoupled Attention for Open-World Model Attribution ICCV 2025 Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection ICLR 2025 Reinforcement Learning with Adaptive Reward Modeling for Expensive-to-Evaluate Systems ICML 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 Dynamic Fully-Connected Layer for Large-Scale Speaker Verification INTERSPEECH 2023 Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation AAAI 2023 FedFed: Feature Distillation against Data Heterogeneity in Federated Learning NIPS 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 Curricular Contrastive Regularization for Physics-Aware Single Image Dehazing CVPR 2023 Semantic Ray: Learning a Generalizable Semantic Field With Cross-Reprojection Attention CVPR 2023 A Unified Model for Multi-class Anomaly Detection 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 —— Next Sentence Prediction COLING 2022 Deep AutoAugment ICLR 2022 HyperDet3D: Learning a Scene-Conditioned 3D Object Detector CVPR 2022 Back to Reality: Weakly-Supervised 3D Object Detection With Shape-Guided Label Enhancement CVPR 2022 Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination NIPS 2022 Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network AAAI 2021 Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning AAAI 2021 Rotation-robust Intersection over Union for 3D Object Detection ECCV 2020 Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning IJCAI 2020 Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment CVPR 2020 Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? NIPS 2020 Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach AAAI 2020 Learning to Generate Maps from Trajectories AAAI 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