conftrace_

Xiaofeng Cao

18 papers · 2018–2026 · 7 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+8 more ↓ 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🌍 Conference Polyglot (7)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ† Keyword Champion (2) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (73) ⚑ Prolific Year (7) πŸ’Ž Century Club (15)

Conferences

AAAI (4) ICML (4) IJCAI (4) NIPS (3) CVPR (1) ICLR (1) JMLR (1)

Papers

Exploiting Geometric Structures for Modeling Multi-Agent Behaviors: A New Thinking AAAI 2026 TR-DQ: Time-Rotation Diffusion Quantization AAAI 2026 Hyper-Opinion Vagueness Quantification for Robust Multimodal Learning AAAI 2026 Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction ICML 2025 Concept Matching with Agent for Out-of-Distribution Detection AAAI 2025 TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning IJCAI 2025 IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks ICLR 2024 Dual Expert Distillation Network for Generalized Zero-Shot Learning IJCAI 2024 Deep Hierarchical Graph Alignment Kernels IJCAI 2024 Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures NIPS 2024 Mentored Learning: Improving Generalization and Convergence of Student Learner JMLR 2024 Sharpness-Aware Minimization Activates the Interactive Teaching's Understanding and Optimization NIPS 2024 Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss ICML 2024 Nonparametric Iterative Machine Teaching ICML 2023 Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships ICML 2023 Nonparametric Teaching for Multiple Learners NIPS 2023 Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation IJCAI 2019 Crowd Counting With Deep Negative Correlation Learning CVPR 2018