Jie Shao
34 papers · 2015–2026 · 10 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (12)
🌍
Conference Polyglot
(10)
🏃
Academic Marathon
(10)
🧭
Keyword Pioneer
🧬
Topic Evolution
🔥
Unstoppable
(6)
⚡
Prolific Year
(5)
💎
Century Club
(33)
❓
The Questioner
🗃️
Keyword Collector
(166)
Conferences
AAAI (8)
ICCV (7)
CVPR (4)
NIPS (4)
ACL (3)
ICML (3)
IJCAI (2)
ECCV (1)
NAACL (1)
WACV (1)
Top co-authors
Keywords
math word problem
(5)
contrastive learning
(5)
reinforcement learning
(5)
multimodal learning
(5)
representation learning
(4)
diffusion model
(4)
graph neural network
(3)
image generation
(3)
model compression
(3)
image classification
(2)
large language model
(2)
solution expression
(2)
meta-reinforcement learning
(2)
variational autoencoder
(2)
inference acceleration
(2)
generative model
(2)
semantic segmentation
(2)
deep neural network
(2)
video representation
(2)
action recognition
(1)
Papers
Improving Generalization in Offline Meta-Reinforcement Learning via Cross-task Contexts
AAAI 2026
SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding
CVPR 2025
EWMoE: An Effective Model for Global Weather Forecasting with Mixture-of-Experts
AAAI 2025
Graphic Design with Large Multimodal Model
AAAI 2025
AdaDiff: Adaptive Step Selection for Fast Diffusion Models
AAAI 2025
Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data
AAAI 2025
Quantization without Tears
CVPR 2025
BlockDance: Reuse Structurally Similar Spatio-Temporal Features to Accelerate Diffusion Transformers
CVPR 2025
Memory-Efficient Generative Models via Product Quantization
ICCV 2025
Training-Free Class Purification for Open-Vocabulary Semantic Segmentation
ICCV 2025
CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation
ICCV 2025
Decomposition of Graphic Design with Unified Multimodal Model
ICML 2025
Retrieval-Augmented Language Model for Knowledge-aware Protein Encoding
ICML 2025
Rectify the Regression Bias in Long-Tailed Object Detection
ECCV 2024
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
NIPS 2024
Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning
AAAI 2024
Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills
AAAI 2024
DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge
NIPS 2024
Compositional Mathematical Encoding for Math Word Problems
ACL 2023
Multivariate, Multi-Frequency and Multimodal: Rethinking Graph Neural Networks for Emotion Recognition in Conversation
CVPR 2023
Generalizing Math Word Problem Solvers via Solution Diversification
AAAI 2023
Abstract then Play: A Skill-centric Reinforcement Learning Framework for Text-based Games
ACL 2023
MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving
NAACL 2022
COOKIE: Contrastive Cross-Modal Knowledge Sharing Pre-Training for Vision-Language Representation
ICCV 2021
Temporal Context Aggregation for Video Retrieval With Contrastive Learning
WACV 2021
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing
ICML 2021
Contrast and Order Representations for Video Self-Supervised Learning
ICCV 2021
Mining Contextual Information Beyond Image for Semantic Segmentation
ICCV 2021
Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning
IJCAI 2020
Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem
IJCAI 2020
Improving Generalization in Reinforcement Learning with Mixture Regularization
NIPS 2020
Graph-to-Tree Learning for Solving Math Word Problems
ACL 2020
Is normalization indispensable for training deep neural network?
NIPS 2020
Multiple Granularity Descriptors for Fine-Grained Categorization
ICCV 2015