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Yaru Hao
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Journal Articles
- 2024
- [j10]Wei Liu, Xiaoyuan Jing, Xiaodong Jia, Xiaoke Zhu, Yaru Hao:
Low-rank representation induced missing-view recovery for incomplete multi-view clustering. Neurocomputing 595: 127870 (2024) - [j9]Yijun Chen, Shen Liu, Yaru Hao, Qian Zhao, Jiecheng Ren, Yi Piao, Liuyun Wang, Yunping Yang, Chenggong Jin, Hangwei Wang, Xuezhi Zhou, Jia-Hong Gao
, Xiaochu Zhang
Higher emotional synchronization is modulated by relationship quality in romantic relationships and not in close friendships. NeuroImage 297: 120733 (2024) - 2023
- [j8]Yaru Hao, Xiao-Yuan Jing, Qixing Sun:
Cancer survival prediction by learning comprehensive deep feature representation for multiple types of genetic data. BMC Bioinform. 24(1): 267 (2023) - [j7]Linjun Chen, Xiao-Yuan Jing, Yaru Hao, Wei Liu, Xiaoke Zhu, Wei Han:
A novel two-way rebalancing strategy for identifying carbonylation sites. BMC Bioinform. 24(1): 429 (2023) - [j6]Runhang Chen, Xiao-Yuan Jing, Fei Wu
Task-specific parameter decoupling for class incremental learning. Inf. Sci. 651: 119731 (2023) - [j5]Yaru Hao
Learning enhanced specific representations for multi-view feature learning. Knowl. Based Syst. 272: 110590 (2023) - 2022
- [j4]Yaru Hao, Xiao-Yuan Jing, Qixing Sun:
Joint learning sample similarity and correlation representation for cancer survival prediction. BMC Bioinform. 23(1): 553 (2022) - 2017
- [j3]Lili Chen
Feature Extraction and Classification of EHG between Pregnancy and Labour Group Using Hilbert-Huang Transform and Extreme Learning Machine. Comput. Math. Methods Medicine 2017: 7949507:1-7949507:9 (2017) - 2016
- [j2]Yamikani Ndasauka
Excessive use of Twitter among college students in the UK: Validation of the Microblog Excessive Use Scale and relationship to social interaction and loneliness. Comput. Hum. Behav. 55: 963-971 (2016) - [j1]Qing Zhang, Yaru Hao, Zhengquan Yang, Zengqiang Chen
Adaptive flocking of heterogeneous multi-agents systems with nonlinear dynamics. Neurocomputing 216: 72-77 (2016)
Conference and Workshop Papers
- 2024
- [c11]Zhiliang Peng, Wenhui Wang, Li Dong, Yaru Hao, Shaohan Huang, Shuming Ma, Qixiang Ye, Furu Wei:
Grounding Multimodal Large Language Models to the World. ICLR 2024 - 2023
- [c10]Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie:
Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes. AAAI 2023: 12968-12976 - [c9]Damai Dai, Yutao Sun, Li Dong, Yaru Hao, Shuming Ma, Zhifang Sui, Furu Wei:
Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers. ACL (Findings) 2023: 4005-4019 - [c8]Zhixiong Han, Yaru Hao, Li Dong, Yutao Sun, Furu Wei:
Prototypical Calibration for Few-shot Learning of Language Models. ICLR 2023 - [c7]Yaru Hao, Zewen Chi, Li Dong, Furu Wei:
Optimizing Prompts for Text-to-Image Generation. NeurIPS 2023 - [c6]Shaohan Huang, Li Dong, Wenhui Wang, Yaru Hao, Saksham Singhal, Shuming Ma, Tengchao Lv, Lei Cui, Owais Khan Mohammed, Barun Patra, Qiang Liu, Kriti Aggarwal, Zewen Chi, Nils Johan Bertil Bjorck, Vishrav Chaudhary, Subhojit Som, Xia Song, Furu Wei:
Language Is Not All You Need: Aligning Perception with Language Models. NeurIPS 2023 - 2022
- [c5]Damai Dai, Li Dong, Yaru Hao, Zhifang Sui, Baobao Chang, Furu Wei:
Knowledge Neurons in Pretrained Transformers. ACL (1) 2022: 8493-8502 - 2021
- [c4]Yaru Hao, Li Dong, Furu Wei, Ke Xu:
Self-Attention Attribution: Interpreting Information Interactions Inside Transformer. AAAI 2021: 12963-12971 - [c3]Yaru Hao, Li Dong, Hangbo Bao, Ke Xu, Furu Wei:
Learning to Sample Replacements for ELECTRA Pre-Training. ACL/IJCNLP (Findings) 2021: 4495-4506 - 2020
- [c2]Yaru Hao, Li Dong, Furu Wei, Ke Xu:
Investigating Learning Dynamics of BERT Fine-Tuning. AACL/IJCNLP 2020: 87-92 - 2019
- [c1]Yaru Hao, Li Dong, Furu Wei, Ke Xu:
Visualizing and Understanding the Effectiveness of BERT. EMNLP/IJCNLP (1) 2019: 4141-4150
Informal and Other Publications
- 2024
- [i15]Yuxian Gu, Li Dong, Yaru Hao, Qingxiu Dong, Minlie Huang, Furu Wei:
Towards Optimal Learning of Language Models. CoRR abs/2402.17759 (2024) - [i14]Yuxian Gu, Li Dong, Hongning Wang, Yaru Hao, Qingxiu Dong, Furu Wei, Minlie Huang:
Data Selection via Optimal Control for Language Models. CoRR abs/2410.07064 (2024) - 2023
- [i13]Shaohan Huang, Li Dong, Wenhui Wang, Yaru Hao, Saksham Singhal, Shuming Ma, Tengchao Lv, Lei Cui, Owais Khan Mohammed, Barun Patra, Qiang Liu, Kriti Aggarwal, Zewen Chi, Johan Bjorck, Vishrav Chaudhary, Subhojit Som, Xia Song, Furu Wei:
Language Is Not All You Need: Aligning Perception with Language Models. CoRR abs/2302.14045 (2023) - [i12]Zhiliang Peng, Wenhui Wang, Li Dong, Yaru Hao, Shaohan Huang, Shuming Ma, Furu Wei:
Kosmos-2: Grounding Multimodal Large Language Models to the World. CoRR abs/2306.14824 (2023) - [i11]Qingxiu Dong, Li Dong, Ke Xu, Guangyan Zhou, Yaru Hao, Zhifang Sui, Furu Wei:
Large Language Model for Science: A Study on P vs. NP. CoRR abs/2309.05689 (2023) - 2022
- [i10]Zhixiong Han, Yaru Hao, Li Dong, Furu Wei:
Prototypical Calibration for Few-shot Learning of Language Models. CoRR abs/2205.10183 (2022) - [i9]Yaru Hao, Haoyu Song, Li Dong, Shaohan Huang, Zewen Chi, Wenhui Wang, Shuming Ma, Furu Wei:
Language Models are General-Purpose Interfaces. CoRR abs/2206.06336 (2022) - [i8]Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie:
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes. CoRR abs/2211.13638 (2022) - [i7]Yaru Hao, Yutao Sun, Li Dong, Zhixiong Han, Yuxian Gu, Furu Wei:
Structured Prompting: Scaling In-Context Learning to 1, 000 Examples. CoRR abs/2212.06713 (2022) - [i6]Yaru Hao, Zewen Chi, Li Dong, Furu Wei:
Optimizing Prompts for Text-to-Image Generation. CoRR abs/2212.09611 (2022) - [i5]Damai Dai, Yutao Sun, Li Dong, Yaru Hao, Zhifang Sui, Furu Wei:
Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers. CoRR abs/2212.10559 (2022) - 2021
- [i4]Damai Dai, Li Dong, Yaru Hao, Zhifang Sui, Furu Wei:
Knowledge Neurons in Pretrained Transformers. CoRR abs/2104.08696 (2021) - [i3]Yaru Hao, Li Dong, Hangbo Bao, Ke Xu, Furu Wei:
Learning to Sample Replacements for ELECTRA Pre-Training. CoRR abs/2106.13715 (2021) - 2020
- [i2]Yaru Hao, Li Dong, Furu Wei, Ke Xu:
Self-Attention Attribution: Interpreting Information Interactions Inside Transformer. CoRR abs/2004.11207 (2020) - 2019
- [i1]Yaru Hao, Li Dong, Furu Wei, Ke Xu:
Visualizing and Understanding the Effectiveness of BERT. CoRR abs/1908.05620 (2019)
Coauthor Index
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