← Authors

Can Wang

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

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (10) πŸ—ΊοΈ Taxonomy Completionist (61) 🀝 Dynamic Duo (11) πŸ† Grand Slam 🌱 Topic Pioneer πŸš€ Conference Pioneer πŸ’Ž Century Club (30) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (140) πŸ”₯ Unstoppable (8) ⚑ Prolific Year (6)

Conferences

AAAI (8) ICCV (5) IJCAI (5) CVPR (4) NIPS (4) ECCV (2) ICLR (2) COLING (1) ICML (1)

Top co-authors

Chun Chen (12) Defang Chen (9) Sheng Zhou (8) Yan Feng (8) Jiawei Chen (7) Siwei Lyu (4) Wentao Liu (4) Qihao Shi (4) Zhenyu Zhou (4) Cewu Lu (3)

Keywords

knowledge distillation (7) model compression (5) graph neural network (4) image generation (4) representation learning (3) link prediction (3) contrastive learning (3) diffusion model (3) large language model (2) attention mechanism (2) node classification (2) student model (2) recommendation system (2) generative model (2) benchmark evaluation (2) human pose estimation (2) recommender system (2) online learning (1) semantic segmentation (1) action recognition (1)

Papers

SpatialLogic-Bench: A Diagnostic Benchmark for Task-Oriented Spatiotemporal Reasoning AAAI 2026
DICE: Distilling Classifier-Free Guidance into Text Embeddings AAAI 2026
Knowledge Distillation with Refined Logits ICCV 2025
DICE: Data Influence Cascade in Decentralized Learning ICLR 2025
M^2LLM: Multi-view Molecular Representation Learning with Large Language Models IJCAI 2025
Advancing Loss Functions in Recommender Systems: A Comparative Study with a RΓ©nyi Divergence-Based Solution AAAI 2025
A Framework for Effective Invocation Methods of Various LLM Services COLING 2025
Recognizing Actions from Robotic View for Natural Human-Robot Interaction ICCV 2025
Simple and Fast Distillation of Diffusion Models NIPS 2024
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps CVPR 2024
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation NIPS 2024
On the Trajectory Regularity of ODE-based Diffusion Sampling ICML 2024
Robust Sequence Networked Submodular Maximization AAAI 2023
AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control ICCV 2023
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning NIPS 2023
CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields CVPR 2022
Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization ICLR 2022
Knowledge Distillation With the Reused Teacher Classifier CVPR 2022
Cross-Layer Distillation with Semantic Calibration AAAI 2021
Human Pose Regression With Residual Log-Likelihood Estimation ICCV 2021
Distilling Holistic Knowledge With Graph Neural Networks ICCV 2021
Whole-Body Human Pose Estimation in the Wild ECCV 2020
Online Knowledge Distillation with Diverse Peers AAAI 2020
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback AAAI 2020
DGE: Deep Generative Network Embedding Based on Commonality and Individuality AAAI 2020
HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation ECCV 2020
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting NIPS 2020
CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark CVPR 2019
Multi-modality Sensor Data Classification with Selective Attention IJCAI 2018
ANRL: Attributed Network Representation Learning via Deep Neural Networks IJCAI 2018
A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter IJCAI 2018
Coupled Attribute Analysis on Numerical Data IJCAI 2013