Jusheng Zhang
18 papers · 2025–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (39) 🌍 Conference Polyglot · Silver ⭐ Rising Star (18) 🤝 Dynamic Duo (15)
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Keyword Collector
(92)
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Prolific Year · Prolific
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Renaissance Researcher
(5)
💎
Century Club · Bronze
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Research topics
Artificial Intelligence
(15)
Core AI
(15)
Deep Learning
(8)
Machine Learning
(8)
Natural Language Processing
(4)
Learning Types · Deep Learning
(3)
Learning Types · Machine Learning
(3)
Models
(3)
Application Areas
(2)
Applications
(2)
Architectures
(2)
Core Methods
(2)
Optimization & Theory · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Computer Vision
(1)
Keywords
vision-language model
(5)
multimodal reasoning
(2)
large language model
(2)
contrastive learning
(2)
monte carlo tree search
(2)
multi-agent system
(2)
hierarchical planning
(1)
question answering
(1)
embedding space
(1)
attention mechanism
(1)
direct preference optimization
(1)
text generation
(1)
information retrieval
(1)
image captioning
(1)
policy optimization
(1)
cross-modal retrieval
(1)
3d vision
(1)
model calibration
(1)
dynamic routing
(1)
depth estimation
(1)
Papers
3DAlign-DAER: Dynamic Attention Policy and Efficient Retrieval Strategy for Fine-grained 3D-Text Alignment at Scale
AAAI 2026
A Causal Marriage between VLM and IRM from Understanding to Reasoning
CVPR 2026
Cost-Effective Communication: An Auction-based Method for Language Agent Interaction
AAAI 2026
Dynamics-Aware Preference Optimization for Vision-Language Models
CVPR 2026
HiVA: Self-organized Hierarchical Variable Agent via Goal-driven Semantic-Topological Evolution
AAAI 2026
Hybrid Token Compression for Vision-Language Models
CVPR 2026
LLM-CAS: Dynamic Neuron Perturbation for Real-Time Hallucination Correction
AAAI 2026
Provably Safe Offline-to-Online RL: Decoupling Learning from Data-Driven Safety Enforcement
ACL 2026
RaCoT: Plug-and-Play Contrastive Example Generation Mechanism for Enhanced LLM Reasoning Reliability
AAAI 2026
Reinforcement Learning for Diffusion LLMs via Energy-Based Gibbs Alignment
ACL 2026
Top-Down Semantic Refinement for Image Captioning
AAAI 2026
Vocabulary Scaling Law: Tuning Open-vocabulary Predictors for Their Openness
CVPR 2026
CCG: Rare-Label Prediction via Neural SEM–Driven Causal Game
EMNLP 2025
DepthSSC: Monocular 3D Semantic Scene Completion via Depth-Spatial Alignment and Voxel Adaptation
WACV 2025
DrDiff: Dynamic Routing Diffusion with Hierarchical Attention for Breaking the Efficiency-Quality Trade-off
EMNLP 2025
KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems
ICML 2025
OSC: Cognitive Orchestration through Dynamic Knowledge Alignment in Multi-Agent LLM Collaboration
EMNLP 2025
Towards More Efficient Post-training via Fourier Domain Adapter Framework
EMNLP 2025