Can Wang
35 papers · 2013–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π Academic Marathon (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (10)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(10)
πΊοΈ
Taxonomy Completionist
(61)
π€
Dynamic Duo
(11)
π
Grand Slam
π±
Topic Pioneer
π
Conference Pioneer
π
Century Club
(30)
π
Trend Setter
ποΈ
Keyword Collector
(140)
π₯
Unstoppable
(8)
β‘
Prolific Year
(6)
Conferences
AAAI (8)
ICCV (5)
IJCAI (5)
CVPR (4)
NIPS (4)
ACL (3)
ECCV (2)
ICLR (2)
COLING (1)
ICML (1)
Top co-authors
Keywords
knowledge distillation
(7)
model compression
(5)
graph neural network
(4)
image generation
(4)
contrastive learning
(3)
representation learning
(3)
link prediction
(3)
diffusion model
(3)
large language model
(3)
student model
(2)
human pose estimation
(2)
node classification
(2)
attention mechanism
(2)
recommendation system
(2)
generative model
(2)
benchmark evaluation
(2)
recommender system
(2)
online learning
(1)
semantic segmentation
(1)
action recognition
(1)
Papers
Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective
ACL 2026
ReCreate: Reasoning and Creating Domain Agents Driven by Experience
ACL 2026
DICE: Distilling Classifier-Free Guidance into Text Embeddings
AAAI 2026
SpatialLogic-Bench: A Diagnostic Benchmark for Task-Oriented Spatiotemporal Reasoning
AAAI 2026
Evolutionary Negative Module Pruning for Better LoRA Merging
ACL 2026
Knowledge Distillation with Refined Logits
ICCV 2025
DICE: Data Influence Cascade in Decentralized Learning
ICLR 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
M^2LLM: Multi-view Molecular Representation Learning with Large Language Models
IJCAI 2025
Recognizing Actions from Robotic View for Natural Human-Robot Interaction
ICCV 2025
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation
NIPS 2024
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps
CVPR 2024
On the Trajectory Regularity of ODE-based Diffusion Sampling
ICML 2024
Simple and Fast Distillation of Diffusion Models
NIPS 2024
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
Robust Sequence Networked Submodular Maximization
AAAI 2023
Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization
ICLR 2022
CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields
CVPR 2022
Knowledge Distillation With the Reused Teacher Classifier
CVPR 2022
Human Pose Regression With Residual Log-Likelihood Estimation
ICCV 2021
Cross-Layer Distillation with Semantic Calibration
AAAI 2021
Distilling Holistic Knowledge With Graph Neural Networks
ICCV 2021
Online Knowledge Distillation with Diverse Peers
AAAI 2020
Whole-Body Human Pose Estimation in the Wild
ECCV 2020
HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation
ECCV 2020
DGE: Deep Generative Network Embedding Based on Commonality and Individuality
AAAI 2020
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback
AAAI 2020
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
NIPS 2020
CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark
CVPR 2019
A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter
IJCAI 2018
Multi-modality Sensor Data Classification with Selective Attention
IJCAI 2018
ANRL: Attributed Network Representation Learning via Deep Neural Networks
IJCAI 2018
Coupled Attribute Analysis on Numerical Data
IJCAI 2013