Junge Zhang
36 papers · 2014–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (11) π Conference Polyglot (11) π Renaissance Researcher (8) πΊοΈ Taxonomy Completionist (77)
πΊοΈ
Taxonomy Completionist
(77)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Grand Slam
π€
Dynamic Duo
(19)
π§¬
Topic Evolution
π
Conference Pioneer
ποΈ
Keyword Collector
(178)
π
Century Club
(34)
β
The Questioner
β‘
Prolific Year
(5)
Conferences
AAAI (10)
CVPR (8)
ICCV (4)
IJCAI (4)
NIPS (3)
ACL (2)
ECCV (1)
EMNLP (1)
ICLR (1)
ICML (1)
WACV (1)
Top co-authors
Keywords
multi-agent reinforcement learning
(4)
large language model
(3)
policy gradient
(3)
sparse reward
(3)
multi-agent system
(3)
reinforcement learning
(3)
zero-shot learning
(3)
uncertainty quantification
(3)
domain shift
(2)
dynamics model
(2)
model-based reinforcement learning
(2)
energy minimization
(2)
backdoor attack
(2)
policy optimization
(2)
domain adaptation
(2)
computer vision
(2)
transductive learning
(2)
embedding space
(2)
markov random field
(2)
image cropping
(2)
Papers
Persistent Backdoor Attacks Under Continual Fine-Tuning of LLMs
AAAI 2026
Calibration-Aware Policy Optimization for Reasoning LLMs
ACL 2026
EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning
ACL 2025
Uncertainty-Aware Diffusion-Guided Refinement of 3D Scenes
ICCV 2025
Sequential Preference Optimization: Multi-Dimensional Preference Alignment with Implicit Reward Modeling
AAAI 2025
Distribution Optimization under Gaussian Hypothesis for Domain Adaptive Semantic Segmentation
WACV 2025
IDEA-Bench: How Far are Generative Models from Professional Designing?
CVPR 2025
Information Bottleneck Based Data Correction in Continual Learning
ECCV 2024
NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields
AAAI 2024
BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning
AAAI 2024
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient
AAAI 2024
ProAgent: Building Proactive Cooperative Agents with Large Language Models
AAAI 2024
ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning
IJCAI 2024
Population-Based Diverse Exploration for Sparse-Reward Multi-Agent Tasks
IJCAI 2024
Position: Foundation Agents as the Paradigm Shift for Decision Making
ICML 2024
S-NeRF: Neural Radiance Fields for Street Views
ICLR 2023
Exploration via Joint Policy Diversity for Sparse-Reward Multi-Agent Tasks
IJCAI 2023
Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks
AAAI 2023
Coordinated Proximal Policy Optimization
NIPS 2021
SOFT: Softmax-free Transformer with Linear Complexity
NIPS 2021
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning
AAAI 2021
Counter-Contrastive Learning for Language GANs
EMNLP 2021
Composing Good Shots by Exploiting Mutual Relations
CVPR 2020
Learning to Learn Cropping Models for Different Aspect Ratio Requirements
CVPR 2020
Few-Shot Image Recognition With Knowledge Transfer
ICCV 2019
SparseMask: Differentiable Connectivity Learning for Dense Image Prediction
ICCV 2019
Transductive Zero-Shot Learning with Visual Structure Constraint
NIPS 2019
Transductive Zero-Shot Learning via Visual Center Adaptation
AAAI 2019
Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning
AAAI 2019
Discriminative Learning of Latent Features for Zero-Shot Recognition
CVPR 2018
A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping
CVPR 2018
Fast End-to-End Trainable Guided Filter
CVPR 2018
FastLCD: Fast Label Coordinate Descent for the Efficient Optimization of 2D Label MRFs
IJCAI 2016
GRSA: Generalized Range Swap Algorithm for the Efficient Optimization of MRFs
CVPR 2015
Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation
ICCV 2015
Deformable Object Matching via Deformation Decomposition based 2D Label MRF
CVPR 2014