Zhang, Haofeng

19 publications

IJCAI 2025 Concentrate on Weakness: Mining Hard Prototypes for Few-Shot Medical Image Segmentation Jianchao Jiang, Haofeng Zhang

AISTATS 2025 Dissecting the Impact of Model Misspecification in Data-Driven Optimization Adam N. Elmachtoub, Henry Lam, Haixiang Lan, Haofeng Zhang

AAAI 2025 FAMNet: Frequency-Aware Matching Network for Cross-Domain Few-Shot Medical Image Segmentation Yuntian Bo, Yazhou Zhu, Lunbo Li, Haofeng Zhang

IJCAI 2025 Few-Shot Novel Category Discovery Chunming Li, Shidong Wang, Haofeng Zhang

AAAI 2025 Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning Haofeng Zhang

NeurIPS 2025 The Bias-Variance Tradeoff in Data-Driven Optimization: A Local Misspecification Perspective Haixiang Lan, Luofeng Liao, Adam N. Elmachtoub, Christian Kroer, Henry Lam, Haofeng Zhang

IJCAI 2024 Evolutionary Generalized Zero-Shot Learning Dubing Chen, Chenyi Jiang, Haofeng Zhang

IJCAI 2024 Learning Spatial Similarity Distribution for Few-Shot Object Counting Yuanwu Xu, Feifan Song, Haofeng Zhang

AAAI 2024 Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning Chenyi Jiang, Haofeng Zhang

AAAI 2023 Deconstructed Generation-Based Zero-Shot Model Dubing Chen, Yuming Shen, Haofeng Zhang, Philip H. S. Torr

JMLR 2023 Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence Henry Lam, Haofeng Zhang

NeurIPS 2023 Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks Ziyi Huang, Henry Lam, Haofeng Zhang

NeurIPS 2023 Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework Ziyi Huang, Henry Lam, Amirhossein Meisami, Haofeng Zhang

AAAI 2022 Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation Xiaojie Zhao, Yuming Shen, Shidong Wang, Haofeng Zhang

IJCAI 2022 Learning to Hash Naturally Sorts Jiaguo Yu, Yuming Shen, Menghan Wang, Haofeng Zhang, Philip H. S. Torr

IJCAI 2022 Zero-Shot Logit Adjustment Dubing Chen, Yuming Shen, Haofeng Zhang, Philip H. S. Torr

AISTATS 2021 Learning Prediction Intervals for Regression: Generalization and Calibration Haoxian Chen, Ziyi Huang, Henry Lam, Huajie Qian, Haofeng Zhang

IJCAI 2020 Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing Weiwei Wang, Yuming Shen, Haofeng Zhang, Yazhou Yao, Li Liu

NeurIPS 2019 SGD on Neural Networks Learns Functions of Increasing Complexity Dimitris Kalimeris, Gal Kaplun, Preetum Nakkiran, Benjamin Edelman, Tristan Yang, Boaz Barak, Haofeng Zhang