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Author

Zexue He

Observed name: He, Zexue
Institutions: University of Southern California, IBM (United States), University of Illinois Urbana-Champaign, University of California San Diego, Ningxia Academy of Agriculture and Forestry Sciences, Massachusetts Institute of Technology, Texas A&M University, Stanford University
Observed institutions: University of Southern California, Nanjing Agricultural University, Microsoft (United States), IBM (United States), University of Illinois Urbana-Champaign, University of San Diego, University of Massachusetts Amherst, Beijing Normal University, University of California San Diego, VA San Diego Healthcare System, Ningxia Academy of Agriculture and Forestry Sciences, Jiangsu Collaborative Innovation Center for Modern Crop Production, Massachusetts Institute of Technology, Texas A&M University, Stanford University
ORCID: 0009-0001-9733-0545
Observed ORCID: 0009-0001-9733-0545
OpenAlex ID: A5069088584
Learning Robust Representations by Projecting Superficial Statistics Out
2019 · Wang, Haohan, He, Zexue, et al. · arXiv (Cornell University) · 146
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Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation
2021 · An Yan, Zexue He, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 71
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Cognitive Bias in Decision-Making with LLMs
2024 · Jessica Maria Echterhoff, Yao Liu, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 62
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Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention
2018 · Fuli Luo, Tianyu Liu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 57
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Understanding Reading Attention Distribution during Relevance Judgement
2018 · Xiangsheng Li, Yiqun Liu, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 43
Learning Concise and Descriptive Attributes for Visual Recognition
2023 · An Yan, Yu Wang, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 34
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Transcriptomic and metabolic regulatory network characterization of drought responses in tobacco
2023 · Zhengrong Hu, Zexue He, et al. · Frontiers in Plant Science · 29
Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding
2021 · Zexue He, Bodhisattwa Prasad Majumder, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 18
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Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation
2021 · Yan, An, He, Zexue, et al. · arXiv (Cornell University) · 15
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Leashing the Inner Demons: Self-Detoxification for Language Models
2022 · Canwen Xu, Zexue He, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 14
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models
2023 · Yan, An, Wang, Yu, et al. · arXiv (Cornell University) · 10
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MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation
2023 · Zexue He, Yu Wang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 10
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Controlling Bias Exposure for Fair Interpretable Predictions
2022 · Zexue He, Yu Wang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 8
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A Large-Scale Study of Mobile Search Examination Behavior
2018 · Xiaochuan Wang, Ning Su, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 6
Targeted Data Generation: Finding and Fixing Model Weaknesses
2023 · Zexue He, Marco Tulio Ribeiro, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 5
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A Two-Stage Model for User's Examination Behavior in Mobile Search
2018 · Jiaxin Mao, Yiqun Liu, et al. · Conference on Human Information Interaction and Retrieval · 5
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation
2024 · Yu Wang, Zexue He, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 4
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Synthetic Pre-Training Tasks for Neural Machine Translation
2023 · Zexue He, Graeme Blackwood, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 4
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“Nothing Abnormal”: Disambiguating Medical Reports via Contrastive Knowledge Infusion
2023 · Zexue He, An Yan, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 3
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InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization
2024 · Jiarui Jin, Zexue He, et al. · International World Wide Web Conference (WWW) · 2
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InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions
2023 · Bodhisattwa Majumder, Zexue He, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2
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WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback
2026 · Taiwei Shi, Zhuoer Wang, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1
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Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence
2025 · Granite Vision Team, Karlinsky, Leonid, et al. · arXiv (Cornell University) · 1
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M+: Extending MemoryLLM with Scalable Long-Term Memory
2025 · Wang, Yu, Krotov, Dmitry, et al. · arXiv (Cornell University) · 1
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Rapid and high-quality 3D fusion of heterogeneous CT and MRI data for the human brain
2019 · Zexue He, Li Zhu, et al. · Science China Information Sciences · 1
Works count: 48
Citation count: 552
H-index: 10
I10-index: 12
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