← Authors

Li Sun

51 papers · 2018–2026 · 12 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) πŸƒ Academic Marathon (7) 🌍 Conference Polyglot (12) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (11) 🀝 Dynamic Duo (10) πŸ† Grand Slam πŸ”¬ Deep Specialist (12) πŸ† Keyword Champion (2) πŸš€ Conference Pioneer ⚑ Prolific Year (8) πŸ”₯ Unstoppable (8) ❓ The Questioner (2) πŸ“ˆ Trend Setter πŸ’Ž Century Club (45) πŸ—ƒοΈ Keyword Collector (226)

Conferences

AAAI (18) CVPR (8) IJCAI (6) ICCV (4) ECCV (3) NIPS (3) EMNLP (2) ICML (2) WACV (2) ACL (1) CORL (1) ICLR (1)

Top co-authors

Hao Peng (14) Philip S. Yu (12) Qingli Li (10) Mingli Song (8) Jie Song (7) Haofei Zhang (6) Junda Ye (5) Mengqi Xue (5) Kayhan Batmanghelich (5) Sen Su (4)

Keywords

graph neural network (10) representation learning (10) contrastive learning (7) self-supervised learning (7) knowledge distillation (6) image-to-image translation (4) generative model (4) large language model (3) riemannian manifold (3) variational autoencoder (3) hyperbolic space (3) vision transformer (3) riemannian geometry (3) image generation (3) model compression (3) diffusion model (3) structural entropy (3) feature learning (2) feature representation (2) unsupervised learning (2)

Papers

Hyperbolic Continuous Structural Entropy for Hierarchical Clustering AAAI 2026
D3-RSMDE: 40Γ— Faster and High-Fidelity Remote Sensing Monocular Depth Estimation AAAI 2026
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection AAAI 2026
RPGen: Robust and Differentially Private Synthetic Image Generation AAAI 2026
Structural Entropy Guided Incremental Learning for Open-World Multimodal Social Event Detection AAAI 2026
Semi-supervised Latent Disentangled Diffusion Model for Textile Pattern Generation AAAI 2026
DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion Model ICML 2025
Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation IJCAI 2025
Multi-Modal Large Language Models are Effective Vision Learners WACV 2025
Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics AAAI 2025
Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space AAAI 2025
Structural Entropy Guided Probabilistic Coding AAAI 2025
HyperTASR: Hypernetwork-Driven Task-Aware Scene Representations for Robust Manipulation CORL 2025
DocAgent: An Agentic Framework for Multi-Modal Long-Context Document Understanding EMNLP 2025
MisinfoBench: A Multi-Dimensional Benchmark for Evaluating LLMs’ Resilience to Misinformation EMNLP 2025
MSA2: Multi-task Framework with Structure-aware and Style-adaptive Character Representation for Open-set Chinese Text Recognition ICCV 2025
HyPoGen: Optimization-Biased Hypernetworks for Generalizable Policy Generation ICLR 2025
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning AAAI 2024
Spiking Graph Neural Network on Riemannian Manifolds NIPS 2024
OD-DETR: Online Distillation for Stabilizing Training of Detection Transformer IJCAI 2024
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering ICML 2024
On the Evaluation Consistency of Attribution-based Explanations ECCV 2024
Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios AAAI 2024
From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding ACL 2023
RecursiveDet: End-to-End Region-Based Recursive Object Detection ICCV 2023
EventPoint: Self-Supervised Interest Point Detection and Description for Event-Based Camera WACV 2023
Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction NIPS 2023
How To Prevent the Continuous Damage of Noises To Model Training? CVPR 2023
CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels AAAI 2023
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces AAAI 2023
CONGREGATE: Contrastive Graph Clustering in Curvature Spaces IJCAI 2023
Style Transformer for Image Inversion and Editing CVPR 2022
Bootstrapping ViTs: Towards Liberating Vision Transformers From Pre-Training CVPR 2022
A Self-Supervised Mixed-Curvature Graph Neural Network AAAI 2022
Cross Attention Based Style Distribution for Controllable Person Image Synthesis ECCV 2022
Knowledge Distillation via Constrained Variational Inference AAAI 2022
QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation CVPR 2022
DG-Font: Deformable Generative Networks for Unsupervised Font Generation CVPR 2021
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs AAAI 2021
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images AAAI 2021
ID-Unet: Iterative Soft and Hard Deformation for View Synthesis CVPR 2021
Can contrastive learning avoid shortcut solutions? NIPS 2021
Tree-Like Decision Distillation CVPR 2021
Bridging the Gap Between Label- and Reference-Based Synthesis in Multi-Attribute Image-to-Image Translation ICCV 2021
Online Credit Payment Fraud Detection via Structure-Aware Hierarchical Recurrent Neural Network IJCAI 2021
BANANA: when Behavior ANAlysis meets social Network Alignment IJCAI 2020
Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder ECCV 2020
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation ICCV 2019
Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions CVPR 2019
Amalgamating Knowledge towards Comprehensive Classification AAAI 2019
MASTER: across Multiple social networks, integrate Attribute and STructure Embedding for Reconciliation IJCAI 2018