Kaiyan Zhao
14 papers · 2024–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (32) 💎 Century Club · Bronze ⚡ Prolific Year · Productive
🗃️
Keyword Collector
(72)
Top co-authors
Research topics
Deep Learning
(6)
Machine Learning
(6)
Reinforcement Learning
(6)
Methods
(6)
Artificial Intelligence
(5)
Core AI
(5)
Learning Types · Deep Learning
(5)
Natural Language Processing
(4)
Learning Types · Machine Learning
(4)
Core Methods
(3)
Resources & Methods
(3)
Applications · Reinforcement Learning
(2)
Computer Vision
(1)
Analysis
(1)
Applications · Natural Language Processing
(1)
Keywords
reinforcement learning
(3)
deep reinforcement learning
(3)
large language model
(2)
sample efficiency
(2)
sentence embedding
(2)
exploration bonus
(2)
curriculum learning
(1)
transfer learning
(1)
semantic segmentation
(1)
policy optimization
(1)
state abstraction
(1)
policy gradient
(1)
contrastive learning
(1)
point cloud registration
(1)
cross-lingual embedding
(1)
metric learning
(1)
cross-lingual transfer
(1)
word alignment
(1)
3d vision
(1)
machine translation
(1)
Papers
DSAP: Enhancing Generalization in Goal-Conditioned Reinforcement Learning
AAAI 2026
Explore to Learn: Latent Exploration Through Disentangled Synergy Patterns for Reinforcement Learning in Overactuated Control
AAAI 2026
Heuristic Self-Paced Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions
CVPR 2026
Latent State-Predictive Exploration for Deep Reinforcement Learning
AAAI 2026
NeoAMT: Neologism-Aware Agentic Machine Translation with Reinforcement Learning
ACL 2026
RGMP: Recurrent Geometric-prior Multimodal Policy for Generalizable Humanoid Robot Manipulation
AAAI 2026
BILE: An Effective Behavior-based Latent Exploration Scheme for Deep Reinforcement Learning
IJCAI 2025
Direct Quantized Training of Language Models with Stochastic Rounding
ACML 2025
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning
IJCAI 2025
HeMoRa: Unsupervised Heuristic Consensus Sampling for Robust Point Cloud Registration
CVPR 2025
Prompt Tuning Can Simply Adapt Large Language Models to Text Encoders
NAACL 2025
Enhancing Cross-lingual Sentence Embedding for Low-resource Languages with Word Alignment
NAACL 2024
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding
EACL 2024
Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus
NeurIPS 2024