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Zhiyong Yang

42 papers · 2019–2026 · 6 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ πŸƒ Academic Marathon (6) 🌍 Conference Polyglot (6) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14)
🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (6) 🀝 Dynamic Duo (39) πŸ”¬ Deep Specialist (14) πŸ’Ž Century Club (40) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (156) ⚑ Prolific Year (9) ❓ The Questioner πŸ”₯ Unstoppable (7)

Conferences

NIPS (14) AAAI (13) ICML (11) CVPR (2) ICCV (1) IJCAI (1)

Top co-authors

Qianqian Xu (41) Qingming Huang (40) Xiaochun Cao (22) Shilong Bao (12) Peisong Wen (9) Zitai Wang (9) Yuan He (9) Yangbangyan Jiang (7) HuiYang Shao (4) Zongsheng Cao (4)

Keywords

auc optimization (5) link prediction (4) deep learning (4) pairwise comparison (3) generalization bound (3) metric learning (3) knowledge graph embedding (3) representation learning (3) partial ranking (2) recommendation system (2) roc curve (2) surrogate loss (2) outlier detection (2) optimal transport (2) preference learning (2) euclidean space (2) distributionally robust optimization (2) class imbalance (2) multi-task learning (2) long-tailed distribution (2)

Papers

TuckA: Hierarchical Compact Tensor Experts for Efficient Fine-Tuning AAAI 2026 Quantifying the Potential to Escape Filter Bubbles: A Behavior-Aware Measure via Contrastive Simulation AAAI 2026 Bidirectional Logits Tree: Pursuing Granularity Reconcilement in Fine-Grained Classification AAAI 2025 SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM AAAI 2025 MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of SchrΓΆdinger Bridges ICML 2025 OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning ICML 2025 ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $Ξ±$-$Ξ²$-Divergence ICML 2025 Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification ICML 2025 One Image is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing Framework ICML 2025 EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion AAAI 2025 ReconBoost: Boosting Can Achieve Modality Reconcilement ICML 2024 Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques NIPS 2024 AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation NIPS 2024 Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition ICML 2024 Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection ICML 2024 Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning NIPS 2023 A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning NIPS 2023 Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild ICCV 2023 Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation ICML 2023 DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework NIPS 2023 OpenAUC: Towards AUC-Oriented Open-Set Recognition NIPS 2022 The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm NIPS 2022 Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability NIPS 2022 Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm NIPS 2022 OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport NIPS 2022 ER: Equivariance Regularizer for Knowledge Graph Completion AAAI 2022 Geometry Interaction Knowledge Graph Embeddings AAAI 2022 AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems ICML 2022 A Sparse-Motif Ensemble Graph Convolutional Network against Over-smoothing IJCAI 2022 Dual Quaternion Knowledge Graph Embeddings AAAI 2021 Deep Partial Rank Aggregation for Personalized Attributes AAAI 2021 When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking NIPS 2021 What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models AAAI 2021 Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association CVPR 2021 When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC ICML 2021 Who Likes What? β€” SplitLBI in Exploring Preferential Diversity of Ratings AAAI 2020 Learning Personalized Attribute Preference via Multi-Task AUC Optimization AAAI 2019 Deep Robust Subjective Visual Property Prediction in Crowdsourcing CVPR 2019 DM2C: Deep Mixed-Modal Clustering NIPS 2019 Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin AAAI 2019 Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer NIPS 2019 iSplit LBI: Individualized Partial Ranking with Ties via Split LBI NIPS 2019