Haofeng Zhang

24 papers · 2019–2026 · 7 conferences · across top CS/AI conferences

Achievements

+7 more ↓

🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (8)

🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🏆 Keyword Champion (2) 🗃️ Keyword Collector (109) 💎 Century Club (19) 🔥 Unstoppable (7) ⚡ Prolific Year (6)

Conferences

AAAI (9) IJCAI (7) NIPS (3) AISTATS (2) ACL (1) JMLR (1) MICCAI (1)

Top co-authors

Yuming Shen (5) Henry Lam (5) Ziyi Huang (4) Shidong Wang (4) Yazhou Yao (3) Philip H.S. Torr (3) Dubing Chen (3) Yazhou Zhu (2) Chenyi Jiang (2) Chunming Li (2)

Keywords

few-shot learning (4) uncertainty quantification (3) zero-shot learning (3) generative model (3) generalized category discovery (2) contrastive learning (2) unseen class (2) medical image segmentation (2) generalized zero-shot learning (2) catastrophic forgetting (1) semi-supervised learning (1) continual learning (1) risk management (1) online learning (1) representation learning (1) metric learning (1) bayesian inference (1) semantic segmentation (1) feature extraction (1) domain adaptation (1)

Papers

Utility-Oriented Visual Evidence Selection for Multimodal Retrieval-Augmented Generation ACL 2026 Foundation-Adaptive Integrated Refinement for Generalized Category Discovery AAAI 2026 Learning a Fix and Explore Framework for Continuous Generalized Category Discovery AAAI 2026 Bridging Granularity Gaps: Hierarchical Semantic Learning for Cross-domain Few-shot Segmentation AAAI 2026 Beyond Quadratic: Linear-Time Change Detection with RWKV AAAI 2026 MAUP: Training-free Multi-center Adaptive Uncertainty-aware Prompting for Cross-domain Few-shot Medical Image Segmentation MICCAI 2025 FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation AAAI 2025 Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning AAAI 2025 Dissecting the Impact of Model Misspecification in Data-Driven Optimization AISTATS 2025 Concentrate on Weakness: Mining Hard Prototypes for Few-Shot Medical Image Segmentation IJCAI 2025 Few-shot Novel Category Discovery IJCAI 2025 Learning Spatial Similarity Distribution for Few-shot Object Counting IJCAI 2024 Evolutionary Generalized Zero-Shot Learning IJCAI 2024 Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning AAAI 2024 Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks NIPS 2023 Deconstructed Generation-Based Zero-Shot Model AAAI 2023 Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework NIPS 2023 Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence JMLR 2023 Learning to Hash Naturally Sorts IJCAI 2022 Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation AAAI 2022 Zero-Shot Logit Adjustment IJCAI 2022 Learning Prediction Intervals for Regression: Generalization and Calibration AISTATS 2021 Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing IJCAI 2020 SGD on Neural Networks Learns Functions of Increasing Complexity NIPS 2019