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2020 – today
- 2024
[c17]Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley:
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. AAAI 2024: 9133-9141- [c16]Jiarui Jin
, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley:
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. WWW 2024: 1350-1361 - [i21]Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley:
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. CoRR abs/2401.12553 (2024) - [i20]Yu Wang, Zeyuan Zhang, Julian J. McAuley, Zexue He:
LVCHAT: Facilitating Long Video Comprehension. CoRR abs/2402.12079 (2024) - [i19]Zexue He, Leonid Karlinsky, Donghyun Kim, Julian J. McAuley, Dmitry Krotov, Rogério Feris:
CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory. CoRR abs/2402.13449 (2024) - [i18]Jessica Maria Echterhoff, Yao Liu, Abeer Alessa, Julian J. McAuley, Zexue He:
Cognitive Bias in High-Stakes Decision-Making with LLMs. CoRR abs/2403.00811 (2024) - [i17]Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian J. McAuley:
Large Scale Knowledge Washing. CoRR abs/2405.16720 (2024) - [i16]Taiwei Shi, Zhuoer Wang, Longqi Yang, Ying-Chun Lin, Zexue He, Mengting Wan, Pei Zhou, Sujay Kumar Jauhar, Xiaofeng Xu, Xia Song, Jennifer Neville:
WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback. CoRR abs/2408.15549 (2024) - [i15]Yu Wang, Chi Han, Tongtong Wu, Xiaoxin He, Wangchunshu Zhou, Nafis Sadeq, Xiusi Chen, Zexue He, Wei Wang, Gholamreza Haffari, Heng Ji, Julian J. McAuley:
Towards LifeSpan Cognitive Systems. CoRR abs/2409.13265 (2024) - 2023
- [c15]Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion. AAAI 2023: 14232-14240 - [c14]Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris:
Synthetic Pre-Training Tasks for Neural Machine Translation. ACL (Findings) 2023: 8080-8098 - [c13]Zexue He, Marco Túlio Ribeiro, Fereshte Khani:
Targeted Data Generation: Finding and Fixing Model Weaknesses. ACL (1) 2023: 8506-8520 - [c12]Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation. EMNLP 2023: 8725-8744 - [c11]Bodhisattwa Prasad Majumder, Zexue He, Julian J. McAuley:
InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions. EMNLP 2023: 9466-9471 - [c10]An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian J. McAuley:
Learning Concise and Descriptive Attributes for Visual Recognition. ICCV 2023: 3067-3077 - [i14]Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion. CoRR abs/2305.08300 (2023) - [i13]Zexue He, Marco Túlio Ribeiro, Fereshte Khani:
Targeted Data Generation: Finding and Fixing Model Weaknesses. CoRR abs/2305.17804 (2023) - [i12]An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Wang, Jingbo Shang, Julian J. McAuley:
Learning Concise and Descriptive Attributes for Visual Recognition. CoRR abs/2308.03685 (2023) - [i11]An Yan, Yu Wang, Yiwu Zhong, Zexue He, Petros Karypis, Zihan Wang, Chengyu Dong, Amilcare Gentili, Chun-Nan Hsu, Jingbo Shang, Julian J. McAuley:
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models. CoRR abs/2310.03182 (2023) - [i10]Noveen Sachdeva, Zexue He, Wang-Cheng Kang, Jianmo Ni, Derek Zhiyuan Cheng, Julian J. McAuley:
Farzi Data: Autoregressive Data Distillation. CoRR abs/2310.09983 (2023) - [i9]Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation. CoRR abs/2310.14088 (2023) - [i8]Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley:
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. CoRR abs/2312.11554 (2023) - 2022
- [c9]Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley:
Leashing the Inner Demons: Self-Detoxification for Language Models. AAAI 2022: 11530-11537 - [c8]Zexue He, Yu Wang, Julian J. McAuley, Bodhisattwa Prasad Majumder:
Controlling Bias Exposure for Fair Interpretable Predictions. EMNLP (Findings) 2022: 5854-5866 - [i7]Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley:
Leashing the Inner Demons: Self-Detoxification for Language Models. CoRR abs/2203.03072 (2022) - [i6]Bodhisattwa Prasad Majumder, Zexue He, Julian J. McAuley:
InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions. CoRR abs/2210.07440 (2022) - [i5]Zexue He, Yu Wang, Julian J. McAuley, Bodhisattwa Prasad Majumder:
Controlling Bias Exposure for Fair Interpretable Predictions. CoRR abs/2210.07455 (2022) - [i4]Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris:
Synthetic Pre-Training Tasks for Neural Machine Translation. CoRR abs/2212.09864 (2022) - 2021
- [c7]An Yan, Zexue He, Xing Lu, Jiang Du, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation. EMNLP (Findings) 2021: 4009-4015 - [c6]Zexue He, Bodhisattwa Prasad Majumder, Julian J. McAuley:
Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding. EMNLP (Findings) 2021: 4173-4181 - [i3]Zexue He, Bodhisattwa Prasad Majumder, Julian J. McAuley:
Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding. CoRR abs/2109.11708 (2021) - [i2]An Yan, Zexue He, Xing Lu, Jiang Du, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation. CoRR abs/2109.12242 (2021)
2010 – 2019
- 2019
- [j1]Zexue He, Li Zhu, Minjie Li, Jinyao Li, Yiran Chen, Yanlin Luo:
Rapid and high-quality 3D fusion of heterogeneous CT and MRI data for the human brain. Sci. China Inf. Sci. 62(10): 204101:1-204101:3 (2019) - [c5]Haohan Wang, Zexue He, Zachary C. Lipton, Eric P. Xing:
Learning Robust Representations by Projecting Superficial Statistics Out. ICLR 2019 - [i1]Haohan Wang, Zexue He, Zachary C. Lipton, Eric P. Xing:
Learning Robust Representations by Projecting Superficial Statistics Out. CoRR abs/1903.06256 (2019) - 2018
- [c4]Jiaxin Mao, Yiqun Liu, Noriko Kando, Zexue He, Min Zhang, Shaoping Ma:
A Two-Stage Model for User's Examination Behavior in Mobile Search. CHIIR 2018: 273-276 - [c3]Xiangsheng Li, Yiqun Liu, Jiaxin Mao, Zexue He, Min Zhang, Shaoping Ma:
Understanding Reading Attention Distribution during Relevance Judgement. CIKM 2018: 733-742 - [c2]Fuli Luo, Tianyu Liu, Zexue He, Qiaolin Xia, Zhifang Sui, Baobao Chang:
Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention. EMNLP 2018: 1402-1411 - [c1]Xiaochuan Wang, Ning Su, Zexue He, Yiqun Liu, Shaoping Ma:
A Large-Scale Study of Mobile Search Examination Behavior. SIGIR 2018: 1129-1132
Coauthor Index
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last updated on 2024-10-21 21:31 CEST by the dblp team
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