Yongzhi Cao
13 papers · 2020–2026 · 4 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (4) 🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🌍
Conference Polyglot
(4)
🏃
Academic Marathon
(5)
🐣
Hot Topic Early Bird
🤝
Dynamic Duo
(10)
🏆
Keyword Champion
(2)
🧬
Topic Evolution
🗃️
Keyword Collector
(57)
💎
Century Club
(10)
🔥
Unstoppable
(5)
Conferences
AAAI (7)
IJCAI (4)
ICLR (1)
UAI (1)
Top co-authors
Research topics
Keywords
generative model
(3)
mechanism design
(2)
inductive logic programming
(2)
first-order logic
(2)
neuro-symbolic learning
(2)
contrastive learning
(2)
privacy preservation
(1)
multimodal learning
(1)
game theory
(1)
resource allocation
(1)
privacy preserving
(1)
rule learning
(1)
knowledge graph
(1)
knowledge editing
(1)
feature fusion
(1)
molecular dynamics
(1)
evidential learning
(1)
label inference attack
(1)
multimodal large language model
(1)
pareto efficiency
(1)
Papers
Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment
AAAI 2026
Beyond Conservation: Flexible Molecular Assembly with Unbalanced Diffusion Bridge
AAAI 2026
MedMKEB: A Comprehensive Knowledge Editing Benchmark for Medical Multimodal Large Language Models
AAAI 2026
Trading Off Voting Axioms for Privacy
UAI 2025
Exploit Your Latents: Coarse-Grained Protein Backmapping with Latent Diffusion Models
AAAI 2025
Differentiable Rule Induction from Raw Sequence Inputs
ICLR 2025
A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis
AAAI 2024
Label Leakage in Vertical Federated Learning: A Survey
IJCAI 2024
A differentiable first-order rule learner for inductive logic programming (Abstract Reprint)
IJCAI 2024
First-Choice Maximality Meets Ex-ante and Ex-post Fairness
IJCAI 2023
Differentially Private Condorcet Voting
AAAI 2023
Learning First-Order Rules with Differentiable Logic Program Semantics
IJCAI 2022
Multi-Type Resource Allocation with Partial Preferences
AAAI 2020