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ORCIDZhe Zhao 0006
Person information
- affiliation: Tencent Research, Beijing, China
- affiliation: Renmin University of China, DBIIR Lab, Beijing, China
- affiliation: Renmin University of China, School of Information, Beijing, China
Other persons with the same name
- Zhe Zhao — disambiguation page
- Zhe Zhao 0001
![[0000-0002-6847-0186]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6847-0186")
— Google AI, USA7 (and 2 more) - Zhe Zhao 0002 — Auburn University, AL, USA
- Zhe Zhao 0003 — University of Southern California, Department of Electrical Engineering, Los Angeles, CA, USA
- Zhe Zhao 0004 — University of Science and Technology of China, Hefei, China
- Zhe Zhao 0005 — Tsinghua University, Beijing Tsinghua Changgung Hospital, Department of Orthopaedics, China
- Zhe Zhao 0007 — ShanghaiTech University, China
- Zhe Zhao 0008 — University of Science and Technology of China, Hefei, China
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Journal Articles
- 2023
[j3]Weijie Liu, Xin Zhao, Zhe Zhao, Qi Ju, Xuefeng Yang, Wei Lu:
An Empirical Study on Adaptive Inference for Pretrained Language Model. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4321-4331 (2023)- 2017
- [j2]Zhe Zhao, Tao Liu, Shen Li, Bofang Li, Xiaoyong Du:
Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis. Data Sci. Eng. 2(2): 178-186 (2017) - [j1]Zhe Zhao, Tao Liu, Shen Li, Bofang Li, Xiaoyong Du:
Correction to: Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis. Data Sci. Eng. 2(4): 346 (2017)
Conference and Workshop Papers
- 2024
- [c32]Yudong Li, Yuhao Feng, Wen Zhou, Zhe Zhao, Linlin Shen, Cheng Hou, Xianxu Hou:
Dynamic Data Sampler for Cross-Language Transfer Learning in Large Language Models. ICASSP 2024: 11291-11295 - [c31]Yudong Li, Xianxu Hou, Dezhi Zheng, Linlin Shen, Zhe Zhao:
FLIP-80M: 80 Million Visual-Linguistic Pairs for Facial Language-Image Pre-Training. ACM Multimedia 2024: 58-67 - [c30]Taiqiang Wu, Cheng Hou, Shanshan Lao, Jiayi Li, Ngai Wong, Zhe Zhao, Yujiu Yang:
Weight-Inherited Distillation for Task-Agnostic BERT Compression. NAACL-HLT (Findings) 2024: 13-28 - 2023
- [c29]Zhe Zhao, Yudong Li, Cheng Hou, Jing Zhao, Rong Tian, Weijie Liu, Yiren Chen, Ningyuan Sun, Haoyan Liu, Weiquan Mao, Han Guo, Weigang Guo, Taiqiang Wu, Tao Zhu, Wenhang Shi, Chen Chen, Shan Huang, Sihong Chen, Liqun Liu, Feifei Li, Xiaoshuai Chen, Xingwu Sun, Zhanhui Kang, Xiaoyong Du, Linlin Shen, Kimmo Yan:
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities. ACL (demo) 2023: 217-225 - [c28]Jian Liu, Dianbo Sui, Kang Liu, Haoyan Liu, Zhe Zhao:
Learning with Partial Annotations for Event Detection. ACL (1) 2023: 508-523 - [c27]Jian Liu, Chen Liang, Jinan Xu, Haoyan Liu, Zhe Zhao:
Document-Level Event Argument Extraction With a Chain Reasoning Paradigm. ACL (1) 2023: 9570-9583 - [c26]Wenhang Shi, Yiren Chen, Zhe Zhao, Wei Lu, Kimmo Yan, Xiaoyong Du:
Create and Find Flatness: Building Flat Training Spaces in Advance for Continual Learning. ECAI 2023: 2138-2145 - [c25]Rong Tian, Zijing Zhao, Weijie Liu, Haoyan Liu, Weiquan Mao, Zhe Zhao, Kan Zhou:
SAMP: A Model Inference Toolkit of Post-Training Quantization for Text Processing via Self-Adaptive Mixed-Precision. EMNLP (Industry Track) 2023: 123-130 - [c24]Chen Liang, Hongliang Li, Changhao Guan, Qingbin Liu, Jian Liu, Jinan Xu, Zhe Zhao:
Novel Slot Detection With an Incremental Setting. EMNLP (Findings) 2023: 737-746 - [c23]Jian Liu, Weichang Liu, Yufeng Chen, Jinan Xu, Zhe Zhao:
Addressing NER Annotation Noises with Uncertainty-Guided Tree-Structured CRFs. EMNLP 2023: 14112-14123 - [c22]Xingyu Bai, Taiqiang Wu, Han Guo, Zhe Zhao, Xuefeng Yang, Jiayi Li, Weijie Liu, Qi Ju, Weigang Guo, Yujiu Yang:
Recouple Event Field via Probabilistic Bias for Event Extraction. ICASSP 2023: 1-5 - 2022
- [c21]Yudong Li, Yuqing Zhang, Zhe Zhao, Linlin Shen, Weijie Liu, Weiquan Mao, Hui Zhang:
CSL: A Large-scale Chinese Scientific Literature Dataset. COLING 2022: 3917-3923 - [c20]Kunbo Ding, Weijie Liu, Yuejian Fang, Weiquan Mao, Zhe Zhao, Tao Zhu, Haoyan Liu, Rong Tian, Yiren Chen:
A Simple and Effective Method to Improve Zero-Shot Cross-Lingual Transfer Learning. COLING 2022: 4372-4380 - [c19]Yudong Li, Xianxu Hou, Zhe Zhao, Linlin Shen, Xuefeng Yang, Kimmo Yan:
Talk2Face: A Unified Sequence-based Framework for Diverse Face Generation and Analysis Tasks. ACM Multimedia 2022: 4594-4604 - [c18]Tao Zhu, Zhe Zhao, Weijie Liu, Jiachi Liu, Yiren Chen, Weiquan Mao, Haoyan Liu, Kunbo Ding, Yudong Li, Xuefeng Yang:
Parameter-efficient Continual Learning Framework in Industrial Real-time Text Classification System. NAACL-HLT (Industry Papers) 2022: 315-323 - [c17]Kunbo Ding, Weijie Liu, Yuejian Fang, Zhe Zhao, Qi Ju, Xuefeng Yang, Rong Tian, Zhu Tao, Haoyan Liu, Han Guo, Xingyu Bai, Weiquan Mao, Yudong Li, Weigang Guo, Taiqiang Wu, Ningyuan Sun:
Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching. NAACL-HLT (Findings) 2022: 2171-2181 - 2021
- [c16]Weigang Guo, Xuefeng Yang, Xingyu Bai, Taiqiang Wu, Weijie Liu, Zhe Zhao, Qi Ju, Yujiu Yang:
Overview of the NLPCC 2021 Shared Task: AutoIE2. NLPCC (2) 2021: 519-529 - 2020
- [c15]Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, Ping Wang:
K-BERT: Enabling Language Representation with Knowledge Graph. AAAI 2020: 2901-2908 - [c14]Weijie Liu, Peng Zhou, Zhiruo Wang, Zhe Zhao, Haotang Deng, Qi Ju:
FastBERT: a Self-distilling BERT with Adaptive Inference Time. ACL 2020: 6035-6044 - [c13]Liang Xu, Hai Hu, Xuanwei Zhang, Lu Li, Chenjie Cao, Yudong Li, Yechen Xu, Kai Sun, Dian Yu, Cong Yu, Yin Tian, Qianqian Dong, Weitang Liu, Bo Shi, Yiming Cui, Junyi Li, Jun Zeng, Rongzhao Wang, Weijian Xie, Yanting Li, Yina Patterson, Zuoyu Tian, Yiwen Zhang, He Zhou, Shaoweihua Liu, Zhe Zhao, Qipeng Zhao, Cong Yue, Xinrui Zhang, Zhengliang Yang, Kyle Richardson, Zhenzhong Lan:
CLUE: A Chinese Language Understanding Evaluation Benchmark. COLING 2020: 4762-4772 - 2019
- [c12]Zhe Zhao, Hui Chen, Jinbin Zhang, Xin Zhao, Tao Liu, Wei Lu, Xi Chen, Haotang Deng, Qi Ju, Xiaoyong Du:
UER: An Open-Source Toolkit for Pre-training Models. EMNLP/IJCNLP (3) 2019: 241-246 - 2018
- [c11]Shen Li, Zhe Zhao, Renfen Hu, Wensi Li, Tao Liu, Xiaoyong Du:
Analogical Reasoning on Chinese Morphological and Semantic Relations. ACL (2) 2018: 138-143 - [c10]Bofang Li, Tao Liu, Zhe Zhao, Xiaoyong Du:
Attention-Based Recurrent Neural Network for Sequence Labeling. APWeb/WAIM (1) 2018: 340-348 - 2017
- [c9]Bofang Li, Tao Liu, Zhe Zhao, Puwei Wang, Xiaoyong Du:
Neural Bag-of-Ngrams. AAAI 2017: 3067-3074 - [c8]Zhe Zhao, Tao Liu, Shen Li, Bofang Li, Xiaoyong Du:
Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics. EMNLP 2017: 244-253 - [c7]Shen Li, Zhe Zhao, Tao Liu, Renfen Hu, Xiaoyong Du:
Initializing Convolutional Filters with Semantic Features for Text Classification. EMNLP 2017: 1884-1889 - [c6]Bofang Li, Tao Liu, Zhe Zhao, Buzhou Tang, Aleksandr Drozd, Anna Rogers, Xiaoyong Du:
Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings. EMNLP 2017: 2421-2431 - 2016
- [c5]Zhe Zhao, Tao Liu, Xiaoyun Hou, Bofang Li, Xiaoyong Du:
Distributed Text Representation with Weighting Scheme Guidance for Sentiment Analysis. APWeb (1) 2016: 41-52 - [c4]Xiaoyun Hou, Zhe Zhao, Tao Liu, Xiaoyong Du:
Classifying Relation via Bidirectional Recurrent Neural Network Based on Local Information. APWeb (1) 2016: 420-430 - [c3]Zhe Zhao, Tao Liu, Jun Chen, Bofang Li, Xiaoyong Du:
A Text Retrieval System Based on Distributed Representations. APWeb (2) 2016: 537-541 - [c2]Bofang Li, Zhe Zhao, Tao Liu, Puwei Wang, Xiaoyong Du:
Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification. COLING 2016: 1591-1600 - [c1]Zhe Zhao, Tao Liu, Bofang Li, Xiaoyong Du:
Cluster-Driven Model for Improved Word and Text Embedding. ECAI 2016: 99-106
Informal and Other Publications
- 2024
- [i19]Taiqiang Wu, Chaofan Tao, Jiahao Wang, Zhe Zhao, Ngai Wong:
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models. CoRR abs/2404.02657 (2024) - [i18]Yudong Li, Yuhao Feng, Wen Zhou, Zhe Zhao, Linlin Shen, Cheng Hou, Xianxu Hou:
Dynamic data sampler for cross-language transfer learning in large language models. CoRR abs/2405.10626 (2024) - [i17]Taiqiang Wu, Jiahao Wang, Zhe Zhao, Ngai Wong:
Mixture-of-Subspaces in Low-Rank Adaptation. CoRR abs/2406.11909 (2024) - 2023
- [i16]Taiqiang Wu, Zhe Zhao, Jiahao Wang, Xingyu Bai, Lei Wang, Ngai Wong, Yujiu Yang:
Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs. CoRR abs/2303.13763 (2023) - [i15]Taiqiang Wu, Cheng Hou, Zhe Zhao, Shanshan Lao, Jiayi Li, Ngai Wong, Yujiu Yang:
Weight-Inherited Distillation for Task-Agnostic BERT Compression. CoRR abs/2305.09098 (2023) - [i14]Xingyu Bai, Taiqiang Wu, Han Guo, Zhe Zhao, Xuefeng Yang, Jiayi Li, Weijie Liu, Qi Ju, Weigang Guo, Yujiu Yang:
Recouple Event Field via Probabilistic Bias for Event Extraction. CoRR abs/2305.11498 (2023) - [i13]Wenhang Shi, Yiren Chen, Zhe Zhao, Wei Lu, Kimmo Yan, Xiaoyong Du:
Create and Find Flatness: Building Flat Training Spaces in Advance for Continual Learning. CoRR abs/2309.11305 (2023) - 2022
- [i12]Weijie Liu, Tao Zhu, Weiquan Mao, Zhe Zhao, Weigang Guo, Xuefeng Yang, Qi Ju:
Semantic Matching from Different Perspectives. CoRR abs/2202.06517 (2022) - [i11]Shuo Liu, Weize Quan, Ming Zhou, Sihong Chen, Jian Kang, Zhe Zhao, Chen Chen, Dong-Ming Yan:
M2HF: Multi-level Multi-modal Hybrid Fusion for Text-Video Retrieval. CoRR abs/2208.07664 (2022) - [i10]Yudong Li, Yuqing Zhang, Zhe Zhao, Linlin Shen, Weijie Liu, Weiquan Mao, Hui Zhang:
CSL: A Large-scale Chinese Scientific Literature Dataset. CoRR abs/2209.05034 (2022) - [i9]Kunbo Ding, Weijie Liu, Yuejian Fang, Zhe Zhao, Qi Ju, Xuefeng Yang:
Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching. CoRR abs/2209.05869 (2022) - [i8]Rong Tian, Zijing Zhao, Weijie Liu, Haoyan Liu, Weiquan Mao, Zhe Zhao, Kimmo Yan:
SAMP: A Toolkit for Model Inference with Self-Adaptive Mixed-Precision. CoRR abs/2209.09130 (2022) - [i7]Kunbo Ding, Weijie Liu, Yuejian Fang, Weiquan Mao, Zhe Zhao, Tao Zhu, Haoyan Liu, Rong Tian, Yiren Chen:
A Simple and Effective Method to Improve Zero-Shot Cross-Lingual Transfer Learning. CoRR abs/2210.09934 (2022) - [i6]Zhe Zhao, Yudong Li, Cheng Hou, Jing Zhao, Rong Tian, Weijie Liu, Yiren Chen, Ningyuan Sun, Haoyan Liu, Weiquan Mao, Han Guo, Weigang Guo, Taiqiang Wu, Tao Zhu, Wenhang Shi, Chen Chen, Shan Huang, Sihong Chen, Liqun Liu, Feifei Li, Xiaoshuai Chen, Xingwu Sun, Zhanhui Kang, Xiaoyong Du, Linlin Shen, Kimmo Yan:
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities. CoRR abs/2212.06385 (2022) - 2020
- [i5]Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Haotang Deng, Qi Ju:
FastBERT: a Self-distilling BERT with Adaptive Inference Time. CoRR abs/2004.02178 (2020) - 2019
- [i4]Zhe Zhao, Hui Chen, Jinbin Zhang, Xin Zhao, Tao Liu, Wei Lu, Xi Chen, Haotang Deng, Qi Ju, Xiaoyong Du:
UER: An Open-Source Toolkit for Pre-training Models. CoRR abs/1909.05658 (2019) - [i3]Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, Ping Wang:
K-BERT: Enabling Language Representation with Knowledge Graph. CoRR abs/1909.07606 (2019) - 2018
- [i2]Shen Li, Zhe Zhao, Renfen Hu, Wensi Li, Tao Liu, Xiaoyong Du:
Analogical Reasoning on Chinese Morphological and Semantic Relations. CoRR abs/1805.06504 (2018) - 2015
- [i1]Bofang Li, Tao Liu, Xiaoyong Du, Deyuan Zhang, Zhe Zhao:
Learning Document Embeddings by Predicting N-grams for Sentiment Classification of Long Movie Reviews. CoRR abs/1512.08183 (2015)
Coauthor Index
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