Jin Li
28 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π Conference Polyglot (9)
π
Academic Marathon
(6)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Grand Slam
π
Triple Crown
ποΈ
Keyword Collector
(118)
β‘
Prolific Year
(8)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(26)
π₯
Unstoppable
(7)
Conferences
AAAI (5)
CVPR (5)
ICLR (4)
IJCAI (4)
INTERSPEECH (4)
NIPS (3)
AISTATS (1)
ECCV (1)
ICML (1)
Top co-authors
Research topics
Keywords
contrastive learning
(3)
domain adaptation
(3)
transfer learning
(3)
metric learning
(2)
unsupervised learning
(2)
vision transformer
(2)
knowledge distillation
(2)
graph neural network
(2)
semantic embedding
(2)
zero-shot learning
(2)
representation learning
(2)
3d reconstruction
(1)
semantic segmentation
(1)
online learning
(1)
image classification
(1)
object detection
(1)
catastrophic forgetting
(1)
curriculum learning
(1)
online advertising
(1)
continual learning
(1)
Papers
When Truth Is Overridden: Uncovering the Internal Origins of Sycophancy in Large Language Models
AAAI 2026
Discovering Decoupled Functional Modules in Large Language Models
AAAI 2026
Scene Graph Generation with Role-Playing Large Language Models
NIPS 2024
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs
AAAI 2024
Training Graph Transformers via Curriculum-Enhanced Attention Distillation
ICLR 2024
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks
NIPS 2024
UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding
ECCV 2024
Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners
ICLR 2024
BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation
ICLR 2024
Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation
ICML 2024
AiluRus: A Scalable ViT Framework for Dense Prediction
NIPS 2023
Fine-tuning Audio Spectrogram Transformer with Task-aware Adapters for Sound Event Detection
INTERSPEECH 2023
Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition
CVPR 2023
Progressively Compressed Auto-Encoder for Self-supervised Representation Learning
ICLR 2023
Learning Canonical F-Correlation Projection for Compact Multiview Representation
CVPR 2022
Acoustic Feature Shuffling Network for Text-independent Speaker Verification
INTERSPEECH 2022
Learning from Students: Online Contrastive Distillation Network for General Continual Learning
IJCAI 2022
CaTT-KWS: A Multi-stage Customized Keyword Spotting Framework based on Cascaded Transducer-Transformer
INTERSPEECH 2022
A Multi-level Acoustic Feature Extraction Framework for Transformer Based End-to-End Speech Recognition
INTERSPEECH 2022
Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback
AISTATS 2022
Contrastive Regression for Domain Adaptation on Gaze Estimation
CVPR 2022
Neural Points: Point Cloud Representation With Neural Fields for Arbitrary Upsampling
CVPR 2022
Hiding Numerical Vectors in Local Private and Shuffled Messages
IJCAI 2021
Graph Attention Based Proposal 3D ConvNets for Action Detection
AAAI 2020
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising
IJCAI 2020
Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems
AAAI 2019
Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification
CVPR 2019
Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder
IJCAI 2018