Min Wang

38 papers · 2015–2026 · 13 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🏃 Academic Marathon (10) 🌍 Conference Polyglot (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12)

🌈 Renaissance Researcher (10) 🌍 Conference Polyglot (12) 🏃 Academic Marathon (10) 🤝 Dynamic Duo (11) 🧬 Topic Evolution 💎 Century Club (36) 📈 Trend Setter ⚡ Prolific Year (7) 🚀 Conference Pioneer 🗃️ Keyword Collector (164) 🔥 Unstoppable (9)

Conferences

AAAI (10) CVPR (8) ECCV (3) ICLR (3) IJCAI (3) EMNLP (2) ICCV (2) NIPS (2) ACL (1) COLT (1) IJCNLP (1) SEMEVAL (1) WACV (1)

Top co-authors

Houqiang Li (11) Wengang Zhou (11) Hui Wu (6) Zidong Wang (5) Fan Yu (5) Xin Li (3) Lei Chen (3) Mingzhong Wang (3) Lizhuang Ma (3) Xin Tan (3)

Keywords

convolutional neural network (5) metric learning (4) image retrieval (3) fisher information matrix (3) model compression (3) representation learning (3) neural network optimization (3) second-order optimization (3) partial differential equation (3) meta-reinforcement learning (2) deep neural network (2) neural radiance field (2) physics-informed neural network (2) neural network training (2) natural gradient (2) question answering (2) knowledge distillation (2) feature embedding (2) attention mechanism (2) novel view synthesis (2)

Papers

Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization AAAI 2026 NaviMaster: Learning a Unified Policy for GUI and Embodied Navigation Tasks ACL 2026 Optimizing for the Shortest Path in Denoising Diffusion Model CVPR 2025 Bright-NeRF: Brightening Neural Radiance Field with Color Restoration from Low-Light RAW Images AAAI 2025 LastingBench: Defend Benchmarks Against Knowledge Leakage EMNLP 2025 Active Perception Meets Rule-Guided RL: A Two-Phase Approach for Precise Object Navigation in Complex Environments ICCV 2025 Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models ICLR 2025 Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach AAAI 2024 MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components AAAI 2024 Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks AAAI 2024 Instance-aware Exploration-Verification-Exploitation for Instance ImageGoal Navigation CVPR 2024 Superpixel-informed Implicit Neural Representation for Multi-Dimensional Data ECCV 2024 Image2Sentence based Asymmetrical Zero-shot Composed Image Retrieval ICLR 2024 WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series AAAI 2023 HandNeRF: Neural Radiance Fields for Animatable Interacting Hands CVPR 2023 A General Rank Preserving Framework for Asymmetric Image Retrieval ICLR 2023 Asymmetric Feature Fusion for Image Retrieval CVPR 2023 Optimization over Disentangled Encoding: Unsupervised Cross-Domain Point Cloud Completion via Occlusion Factor Manipulation ECCV 2022 CMT: Context-Matching-Guided Transformer for 3D Tracking in Point Clouds ECCV 2022 Learning Token-Based Representation for Image Retrieval AAAI 2022 Contextual Similarity Distillation for Asymmetric Image Retrieval CVPR 2022 Meta-Auto-Decoder for Solving Parametric Partial Differential Equations NIPS 2022 A Universal PINNs Method for Solving Partial Differential Equations with a Point Source IJCAI 2022 Rethinking Efficient Lane Detection via Curve Modeling CVPR 2022 SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature CVPR 2021 A Trace-restricted Kronecker-Factored Approximation to Natural Gradient AAAI 2021 Contextual Similarity Aggregation with Self-attention for Visual Re-ranking NIPS 2021 Unimodal and Crossmodal Refinement Network for Multimodal Sequence Fusion EMNLP 2021 Learning Deep Local Features With Multiple Dynamic Attentions for Large-Scale Image Retrieval ICCV 2021 THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation AAAI 2021 A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Partial Differential Equations COLT 2021 Wide Hidden Expansion Layer for Deep Convolutional Neural Networks WACV 2020 K3S: Knowledge-Driven Solution Support System AAAI 2019 DRPose3D: Depth Ranking in 3D Human Pose Estimation IJCAI 2018 Yuan at SemEval-2018 Task 1: Tweets Emotion Intensity Prediction using Ensemble Recurrent Neural Network SEMEVAL 2018 YNUDLG at IJCNLP-2017 Task 5: A CNN-LSTM Model with Attention for Multi-choice Question Answering in Examinations IJCNLP 2017 Sparse Convolutional Neural Networks CVPR 2015 Learning Term Embeddings for Hypernymy Identification IJCAI 2015