← Authors

Ying Wang

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

Achievements

πŸƒ Academic Marathon (12) 🌍 Conference Polyglot (13) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (91) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (8) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) πŸ† Grand Slam πŸ‘‘ Triple Crown ❓ The Questioner πŸ”₯ Unstoppable (7) πŸ’Ž Century Club (38) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (201) ⚑ Prolific Year (6)

Conferences

AAAI (12) CVPR (7) NIPS (4) ACL (3) 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) Bin Hu (2) GAOFENG MENG (2) Guangwen Yang (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

PASA: Progressive-Adaptive Spectral Augmentation for Automated Auscultation in Data-Scarce Environments 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
Beyond Counting: Evaluating Abstract and Emotional Reasoning in Vision-Language Models AAAI 2026
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
CrystalICL: Enabling In-Context Learning for Crystal Generation EMNLP 2025
Qsco: A Quantum Scoring Module for Open-Set Supervised Anomaly Detection AAAI 2025
Hierarchy Knowledge Graph for Parameter-Efficient Entity Embedding IJCAI 2025
Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation MICCAI 2025
CΒ²MAOT: Cross-modal Complementary Masked Autoencoder with Optimal Transport for Cancer Segmentation in PET-CT Images MICCAI 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
Graph OOD Detection via Plug-and-Play Energy-based Evaluation and Propagation IJCAI 2025
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark ICLR 2025
Diffusion-based Adversarial Attack to Automatic Speech Recognition ACML 2024
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
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data ICML 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
Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases ACL 2023
Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution NIPS 2023
ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation AAAI 2022
MsSVT: Mixed-scale Sparse Voxel Transformer for 3D Object Detection on Point Clouds NIPS 2022
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data AAAI 2022
Perceptual Consistency in Video Segmentation WACV 2022
VarifocalNet: An IoU-Aware Dense Object Detector CVPR 2021
InverseForm: A Loss Function for Structured Boundary-Aware Segmentation CVPR 2021
Knowledge Mining and Transferring for Domain Adaptive Object Detection ICCV 2021
Pyramid Correlation based Deep Hough Voting for Visual Object Tracking ACML 2021
Can Scale-Consistent Monocular Depth Be Learned in a Self-Supervised Scale-Invariant Manner? ICCV 2021
Linear Symmetric Quantization of Neural Networks for Low-precision Integer Hardware ICLR 2020
Differentiable Joint Pruning and Quantization for Hardware Efficiency ECCV 2020
Attention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation AAAI 2020
Decoupled Representation Learning for Skeleton-Based Gesture Recognition CVPR 2020
MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction CVPR 2020
Bayesian Bits: Unifying Quantization and Pruning NIPS 2020
Neural Response Generation with Meta-words ACL 2019
Learning Network Embedding with Community Structural Information IJCAI 2019
Active Flattening of Curved Document Images via Two Structured Beams CVPR 2014
Efficient Image Dehazing with Boundary Constraint and Contextual Regularization ICCV 2013