Yang He
21 papers · 2017–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (6) π Conference Polyglot (8) π Academic Marathon (8) πΊοΈ Taxonomy Completionist (38)
πΊοΈ
Taxonomy Completionist
(38)
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Keyword Pioneer
π£
Hot Topic Early Bird
π
Keyword Champion
(2)
π§¬
Topic Evolution
π
Grand Slam
π
Century Club
(18)
β
The Questioner
ποΈ
Keyword Collector
(77)
π₯
Unstoppable
(9)
π
Trend Setter
π
Conference Pioneer
Conferences
CVPR (4)
AAAI (3)
ECCV (3)
ICLR (3)
IJCAI (3)
NIPS (2)
COLING (1)
ICML (1)
WACV (1)
Top co-authors
Keywords
convolutional neural network
(4)
model compression
(4)
filter pruning
(3)
flops reduction
(3)
semantic segmentation
(3)
image classification
(2)
geometric median
(2)
neural network optimization
(2)
dataset pruning
(2)
attention mechanism
(1)
sentiment analysis
(1)
computer vision
(1)
zero-shot learning
(1)
knowledge distillation
(1)
generative modeling
(1)
transfer learning
(1)
pseudo labeling
(1)
image generation
(1)
network pruning
(1)
image synthesis
(1)
Papers
MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents
AAAI 2026
GenMatLab: A Generative Platform for Inverse Materials Design
AAAI 2026
LLM Safety in Judicial AI: A Stress Test of Social Media Influence on Real-World Judgments
AAAI 2026
Training-Free Dataset Pruning for Instance Segmentation
ICLR 2025
Swift Cross-Dataset Pruning: Enhancing Fine-Tuning Efficiency in Natural Language Understanding
COLING 2025
Data-independent Module-aware Pruning for Hierarchical Vision Transformers
ICLR 2024
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
NIPS 2024
Multisize Dataset Condensation
ICLR 2024
You Only Condense Once: Two Rules for Pruning Condensed Datasets
NIPS 2023
Urban Scene Semantic Segmentation With Low-Cost Coarse Annotation
WACV 2023
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
ICML 2022
TD-Road: Top-Down Road Network Extraction with Holistic Graph Construction
ECCV 2022
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
IJCAI 2021
Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration
CVPR 2020
An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration
IJCAI 2020
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation
ECCV 2020
Semantic Projection Network for Zero- and Few-Label Semantic Segmentation
CVPR 2019
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
CVPR 2019
Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes
ECCV 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
IJCAI 2018
STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling
CVPR 2017