Ying Wang

46 papers · 2013–2026 · 13 conferences · across top CS/AI conferences

Achievements

+12 more ↓

🌍 Conference Polyglot (13) 🏃 Academic Marathon (12) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (12)

🌈 Renaissance Researcher (8) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) 🏆 Grand Slam 👑 Triple Crown ❓ The Questioner 🔥 Unstoppable (7) 💎 Century Club (38) 📈 Trend Setter 🚀 Conference Pioneer 🗃️ Keyword Collector (201) ⚡ Prolific Year (6)

Conferences

AAAI (12) CVPR (7) ACL (4) NIPS (4) ICCV (3) ICLR (3) IJCAI (3) ACML (2) EMNLP (2) ICML (2) MICCAI (2) ECCV (1) WACV (1)

Top co-authors

Xin Wang (8) SHIMING XIANG (7) Chunhong Pan (5) Yili Wang (4) Tingfa Xu (3) Kun Ding (3) Jianan Li (3) GAOFENG MENG (2) Yizhe Zhang (2) Bin Hu (2)

Keywords

feature representation (3) depth estimation (3) 3d reconstruction (3) vision-language model (3) loss function (2) prompt tuning (2) large language model (2) semantic segmentation (2) adversarial training (2) deep learning (2) domain generalization (2) out-of-distribution detection (2) representation learning (2) pre-trained language model (2) few-shot learning (2) object detection (2) quantum computing (2) self-supervised learning (2) convolutional neural network (2) neural network (2)

Papers

Radar-APLANC: Unsupervised Radar-based Heartbeat Sensing via Augmented Pseudo-Label and Noise Contrast AAAI 2026 Monocular Vehicle Pose and Shape Reconstruction via Dynamic Context Adaptation and Progressive Geometry Refinement AAAI 2026 ChipSeek: Optimizing Verilog Generation via EDA-Integrated Reinforcement Learning ACL 2026 PASA: Progressive-Adaptive Spectral Augmentation for Automated Auscultation in Data-Scarce Environments AAAI 2026 Beyond Counting: Evaluating Abstract and Emotional Reasoning in Vision-Language Models AAAI 2026 LookFlow: Training-Free and Efficient High-Resolution Image Synthesis via Dynamic Lookahead Guidance Flow AAAI 2026 Centralized Group Equitability and Individual Envy-Freeness in the Allocation of Indivisible Items AAAI 2026 Cyto-SSL: A Self-Supervised Pretraining Framework for Cytology Foundation Model AAAI 2026 Hierarchy Knowledge Graph for Parameter-Efficient Entity Embedding IJCAI 2025 Graph OOD Detection via Plug-and-Play Energy-based Evaluation and Propagation IJCAI 2025 BaWA: Automatic Optimizing Pruning Metric for Large Language Models with Balanced Weight and Activation ICML 2025 ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks CVPR 2025 Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark ICLR 2025 CrystalICL: Enabling In-Context Learning for Crystal Generation EMNLP 2025 Qsco: A Quantum Scoring Module for Open-Set Supervised Anomaly Detection AAAI 2025 Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation MICCAI 2025 C²MAOT: Cross-modal Complementary Masked Autoencoder with Optimal Transport for Cancer Segmentation in PET-CT Images MICCAI 2025 Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models ICLR 2024 Instance-adaptive Zero-shot Chain-of-Thought Prompting NIPS 2024 Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning AAAI 2024 Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models ACL 2024 Diffusion-based Adversarial Attack to Automatic Speech Recognition ACML 2024 On the Scalability of Diffusion-based Text-to-Image Generation CVPR 2024 Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts Adjustment EMNLP 2024 Rethinking Independent Cross-Entropy Loss For Graph-Structured Data ICML 2024 Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution NIPS 2023 Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases ACL 2023 Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data AAAI 2022 MsSVT: Mixed-scale Sparse Voxel Transformer for 3D Object Detection on Point Clouds NIPS 2022 ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation AAAI 2022 Perceptual Consistency in Video Segmentation WACV 2022 VarifocalNet: An IoU-Aware Dense Object Detector CVPR 2021 Pyramid Correlation based Deep Hough Voting for Visual Object Tracking ACML 2021 InverseForm: A Loss Function for Structured Boundary-Aware Segmentation CVPR 2021 Knowledge Mining and Transferring for Domain Adaptive Object Detection ICCV 2021 Can Scale-Consistent Monocular Depth Be Learned in a Self-Supervised Scale-Invariant Manner? ICCV 2021 MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction CVPR 2020 Linear Symmetric Quantization of Neural Networks for Low-precision Integer Hardware ICLR 2020 Bayesian Bits: Unifying Quantization and Pruning NIPS 2020 Differentiable Joint Pruning and Quantization for Hardware Efficiency ECCV 2020 Decoupled Representation Learning for Skeleton-Based Gesture Recognition CVPR 2020 Attention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation AAAI 2020 Learning Network Embedding with Community Structural Information IJCAI 2019 Neural Response Generation with Meta-words ACL 2019 Active Flattening of Curved Document Images via Two Structured Beams CVPR 2014 Efficient Image Dehazing with Boundary Constraint and Contextual Regularization ICCV 2013