Zhihao Wang
21 papers · 2020–2026 · 10 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (10) 🏃 Academic Marathon (5) 🌈 Renaissance Researcher (7)
🐝
Cross-Pollinator
(12)
🧭
Keyword Pioneer
🌈
Renaissance Researcher
(7)
🔥
Unstoppable
(5)
💎
Century Club
(17)
⚡
Prolific Year
(7)
🗃️
Keyword Collector
(100)
Conferences
AAAI (6)
ACL (3)
EMNLP (3)
ECCV (2)
IJCAI (2)
CVPR (1)
ICCV (1)
ICML (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
federated learning
(4)
domain adaptation
(3)
large language model
(2)
transfer learning
(2)
recommender system
(2)
uncertainty quantification
(2)
knowledge transfer
(1)
catastrophic forgetting
(1)
contrastive learning
(1)
text classification
(1)
visual question answering
(1)
medical imaging
(1)
continual learning
(1)
machine translation
(1)
dependency parsing
(1)
text generation
(1)
neural machine translation
(1)
bipartite matching
(1)
motion forecasting
(1)
sentiment analysis
(1)
Papers
Federated Context-Aware Personalized Recommendation
AAAI 2026
CrossCheck-Bench: Diagnosing Compositional Failures in Multimodal Conflict Resolution
AAAI 2026
EcoDiffusion: Uncertainty-Aware Emulation of Ecosystem Processes with Conditional Diffusion for Long Sequences with Single-Step Initialization
AAAI 2026
SAFE-QAQ: End-to-End Slow-Thinking Audio-Text Fraud Detection via Reinforcement Learning
ACL 2026
Universal Actions for Enhanced Embodied Foundation Models
CVPR 2025
An Empirical Study of Federated Prompt Learning for Vision Language Model
IJCAI 2025
A Multi-Agent Framework with Automated Decision Rule Optimization for Cross-Domain Misinformation Detection
EMNLP 2025
Federated Recommendation with Explicitly Encoding Item Bias
AAAI 2025
Overcoming Dual Drift for Continual Long-Tailed Visual Question Answering
ICCV 2025
Efficient Robotic Policy Learning via Latent Space Backward Planning
ICML 2025
Pixel-wise Divide and Conquer for Federated Vessel Segmentation
IJCAI 2025
A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models
EMNLP 2024
Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration
AAAI 2024
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
AAAI 2024
SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting
NIPS 2024
DAGCN: Distance-based and Aspect-oriented Graph Convolutional Network for Aspect-based Sentiment Analysis
NAACL 2024
A Sequence-to-Sequence&Set Model for Text-to-Table Generation
ACL 2023
Revisiting Non-Autoregressive Translation at Scale
ACL 2023
Temporal Saliency Query Network for Efficient Video Recognition
ECCV 2022
Learning to Detect Noisy Labels Using Model-Based Features
EMNLP 2022
Adaptive Task Sampling for Meta-Learning
ECCV 2020