Weihong Deng

41 papers · 2013–2026 · 9 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🏃 Academic Marathon (12) 🌍 Conference Polyglot (9) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (8)

🧭 Keyword Pioneer 🐝 Cross-Pollinator (8) 🌍 Conference Polyglot (9) 🤝 Dynamic Duo (11) 🔬 Deep Specialist (15) 🧬 Topic Evolution 🚀 Conference Pioneer 🗃️ Keyword Collector (165) 📈 Trend Setter ❓ The Questioner ⚡ Prolific Year (7) 🔥 Unstoppable (9) 💎 Century Club (40)

Conferences

CVPR (16) ECCV (6) ICCV (6) AAAI (5) NIPS (3) ACL (2) EMNLP (1) ICLR (1) INTERSPEECH (1)

Top co-authors

Jiani Hu (11) Yuhang Zhang (7) Yaoyao Zhong (7) Mei Wang (7) Binghui Chen (6) Xuannan Liu (5) lixiong Qin (4) Chengrui Wang (3) Yaohai Huang (3) Xunqiang Tao (3)

Research topics

Deep Learning (1)

Keywords

face recognition (9) attention mechanism (6) metric learning (5) feature learning (4) representation learning (4) facial expression recognition (4) convolutional neural network (3) embedding learning (3) zero-shot learning (3) deep learning (3) feature extraction (3) image retrieval (3) deep q-learning (2) reinforcement learning (2) deep metric learning (2) large language model (2) person re-identification (2) label noise (2) distance metric (2) domain generalization (1)

Papers

Cross-Granularity Hypergraph Retrieval-Augmented Generation for Multi-hop Question Answering AAAI 2026 MMFakeBench: A Mixed-Source Multimodal Misinformation Detection Benchmark for LVLMs ICLR 2025 Spatial Representation of Large Language Models in 2D Scene ACL 2025 What Counts Underlying LLMs’ Moral Dilemma Judgments? ACL 2025 Faceptor: A Generalist Model for Face Perception ECCV 2024 Open-Set Facial Expression Recognition AAAI 2024 Generalizable Facial Expression Recognition ECCV 2024 SEQ-former: A context-enhanced and efficient automatic speech recognition framework INTERSPEECH 2024 Blind Face Restoration under Extreme Conditions: Leveraging 3D-2D Prior Fusion for Superior Structural and Texture Recovery AAAI 2024 Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation ICCV 2023 Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module CVPR 2023 Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition NIPS 2023 Augmented Geometric Distillation for Data-Free Incremental Person ReID CVPR 2022 Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing CVPR 2022 DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimation ECCV 2022 Federated Learning for Face Recognition with Gradient Correction AAAI 2022 Video Question Answering: Datasets, Algorithms and Challenges EMNLP 2022 Learn from All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition ECCV 2022 Exploring Disentangled Content Information for Face Forgery Detection ECCV 2022 Relative Uncertainty Learning for Facial Expression Recognition NIPS 2021 Adaptive Label Noise Cleaning With Meta-Supervision for Deep Face Recognition ICCV 2021 Representative Forgery Mining for Fake Face Detection CVPR 2021 Generate to Adapt: Resolution Adaption Network for Surveillance Face Recognition ECCV 2020 Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition CVPR 2020 PropagationNet: Propagate Points to Curve to Learn Structure Information CVPR 2020 Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning CVPR 2020 Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering AAAI 2019 Unsupervised Face Normalization With Extreme Pose and Expression in the Wild CVPR 2019 Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data CVPR 2019 Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning CVPR 2019 Hybrid-Attention Based Decoupled Metric Learning for Zero-Shot Image Retrieval CVPR 2019 Mixed High-Order Attention Network for Person Re-Identification ICCV 2019 Racial Faces in the Wild: Reducing Racial Bias by Information Maximization Adaptation Network ICCV 2019 Adversarial Learning With Margin-Based Triplet Embedding Regularization ICCV 2019 Fair Loss: Margin-Aware Reinforcement Learning for Deep Face Recognition ICCV 2019 Virtual Class Enhanced Discriminative Embedding Learning NIPS 2018 Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild CVPR 2017 Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation CVPR 2017 Multi-Manifold Deep Metric Learning for Image Set Classification CVPR 2015 Linear Ranking Analysis CVPR 2014 In Defense of Sparsity Based Face Recognition CVPR 2013