Zhang, Haoran

39 publications

NeurIPS 2025 Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations Olawale Elijah Salaudeen, Haoran Zhang, Kumail Alhamoud, Sara Beery, Marzyeh Ghassemi

NeurIPS 2025 Federated Multi-Armed Bandits with Efficient Bit-Level Communications Haoran Zhang, Yang Xu, Xuchuang Wang, Hao-Xu Chen, Hao Qiu, Lin Yang, Yang Gao

ICLR 2025 KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks Kaijing Ma, Xeron Du, Yunran Wang, Haoran Zhang, ZhoufutuWen, Xingwei Qu, Jian Yang, Jiaheng Liu, Minghao Liu, Xiang Yue, Wenhao Huang, Ge Zhang

ICML 2025 LEMoN: Label Error Detection Using Multimodal Neighbors Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu, Jiacheng Zhu, Marzyeh Ghassemi

UAI 2025 Near-Optimal Regret Bounds for Federated Multi-Armed Bandits with Fully Distributed Communication Haoran Zhang, Xuchuang Wang, Hao-Xu Chen, Hao Qiu, Lin Yang, Yang Gao

NeurIPS 2025 On Group Sufficiency Under Label Bias Haoran Zhang, Olawale Elijah Salaudeen, Marzyeh Ghassemi

ICCV 2025 Player-Centric Multimodal Prompt Generation for Large Language Model Based Identity-Aware Basketball Video Captioning Zeyu Xi, Haoying Sun, Yaofei Wu, Junchi Yan, Haoran Zhang, Lifang Wu, Liang Wang, Changwen Chen

AAAI 2025 SSAN: A Symbol Spatial-Aware Network for Handwritten Mathematical Expression Recognition Haoran Zhang, Xiangdong Su, Xingxiang Zhou, Guanglai Gao

ICCV 2025 Task-Decoupled Bezier Surface Constraint for Uneven Low-Light Image Enhancement Xingxiang Zhou, Xiangdong Su, Haoran Zhang, Wei Chen, Guanglai Gao

NeurIPS 2024 A Closer Look at AUROC and AUPRC Under Class Imbalance Matthew B. McDermott, Haoran Zhang, Lasse Hyldig Hansen, Giovanni Angelotti, Jack Gallifant

NeurIPS 2024 BendVLM: Test-Time Debiasing of Vision-Language Embeddings Walter Gerych, Haoran Zhang, Kimia Hamidieh, Eileen Pan, Maanas Sharma, Thomas Hartvigsen, Marzyeh Ghassemi

MLHC 2024 DOSSIER: Fact Checking in Electronic Health Records While Preserving Patient Privacy Haoran Zhang, Supriya Nagesh, Milind Shyani, Nina Mishra

NeurIPS 2024 From Transparent to Opaque: Rethinking Neural Implicit Surfaces with $\alpha$-NeuS Haoran Zhang, Junkai Deng, Xuhui Chen, Fei Hou, Wencheng Wang, Hong Qin, Chen Qian, Ying He

NeurIPS 2024 IaC-Eval: A Code Generation Benchmark for Cloud Infrastructure-as-Code Programs Patrick Tser Jern Kon, Jiachen Liu, Yiming Qiu, Weijun Fan, Ting He, Lei Lin, Haoran Zhang, Owen M. Park, George S. Elengikal, Yuxin Kang, Ang Chen, Mosharaf Chowdhury, Myungjin Lee, Xinyu Wang

NeurIPSW 2024 LEMoN: Label Error Detection Using Multimodal Neighbors Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu, Jiacheng Zhu, Marzyeh Ghassemi

DMLR 2024 OpenOOD V1.5: Enhanced Benchmark for Out-of-Distribution Detection Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li

NeurIPS 2024 TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Guo Qin, Haoran Zhang, Yong Liu, Yunzhong Qiu, Jianmin Wang, Mingsheng Long

ICML 2024 Timer: Generative Pre-Trained Transformers Are Large Time Series Models Yong Liu, Haoran Zhang, Chenyu Li, Xiangdong Huang, Jianmin Wang, Mingsheng Long

ICLR 2024 Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation Kimia Hamidieh, Haoran Zhang, Swami Sankaranarayanan, Marzyeh Ghassemi

ICLR 2024 iTransformer: Inverted Transformers Are Effective for Time Series Forecasting Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long

ICML 2023 "Why Did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts Haoran Zhang, Harvineet Singh, Marzyeh Ghassemi, Shalmali Joshi

ICMLW 2023 A Pipeline for Interpretable Clinical Subtyping with Deep Metric Learning Haoran Zhang, Qixuan Jin, Thomas Hartvigsen, Miriam Udler, Marzyeh Ghassemi

ICML 2023 Change Is Hard: A Closer Look at Subpopulation Shift Yuzhe Yang, Haoran Zhang, Dina Katabi, Marzyeh Ghassemi

ICMLW 2023 Continuous Time Evidential Distributions for Irregular Time Series Taylor W. Killian, Haoran Zhang, Thomas Hartvigsen, Ava P Amini

ICMLW 2023 Identifying Implicit Social Biases in Vision-Language Models Kimia Hamidieh, Haoran Zhang, Thomas Hartvigsen, Marzyeh Ghassemi

NeurIPSW 2023 On Mitigating Shortcut Learning for Fair Chest X-Ray Classification Under Distribution Shift Yuzhe Yang, Haoran Zhang, Dina Katabi, Marzyeh Ghassemi

NeurIPSW 2023 OpenOOD V1.5: Enhanced Benchmark for Out-of-Distribution Detection Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li

NeurIPS 2023 SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling Jiaxiang Dong, Haixu Wu, Haoran Zhang, Li Zhang, Jianmin Wang, Mingsheng Long

ICMLW 2022 "Why Did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts Haoran Zhang, Harvineet Singh, Shalmali Joshi

NeurIPSW 2022 "Why Did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts Haoran Zhang, Harvineet Singh, Marzyeh Ghassemi, Shalmali Joshi

ICMLW 2022 Evaluating and Improving Robustness of Self-Supervised Representations to Spurious Correlations Kimia Hamidieh, Haoran Zhang, Marzyeh Ghassemi

NeurIPSW 2022 Fair Multimodal Checklists for Interpretable Clinical Time Series Prediction Qixuan Jin, Haoran Zhang, Thomas Hartvigsen, Marzyeh Ghassemi

CHIL 2022 Improving the Fairness of Chest X-Ray Classifiers Haoran Zhang, Natalie Dullerud, Karsten Roth, Lauren Oakden-Rayner, Stephen Pfohl, Marzyeh Ghassemi

NeurIPS 2021 Learning Optimal Predictive Checklists Haoran Zhang, Quaid D. Morris, Berk Ustun, Marzyeh Ghassemi

AAAI 2021 Social-DPF: Socially Acceptable Distribution Prediction of Futures Xiaodan Shi, Xiaowei Shao, Guangming Wu, Haoran Zhang, Zhiling Guo, Renhe Jiang, Ryosuke Shibasaki

JMLR 2021 Unfolding-Model-Based Visualization: Theory, Method and Applications Yunxiao Chen, Zhiliang Ying, Haoran Zhang

AAAI 2020 CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning Daojian Zeng, Haoran Zhang, Qianying Liu

AAAI 2020 Multimodal Interaction-Aware Trajectory Prediction in Crowded Space Xiaodan Shi, Xiaowei Shao, Zipei Fan, Renhe Jiang, Haoran Zhang, Zhiling Guo, Guangming Wu, Wei Yuan, Ryosuke Shibasaki

AAAI 2019 eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writing Haoran Zhang, Ahmed Magooda, Diane J. Litman, Richard Correnti, Elaine Wang, Lindsay Clare Matsumura, Emily Howe, Rafael Quintana