Yuanzhe Zhang

According to our database, Yuanzhe Zhang authored at least 48 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Towards high-performance deep learning architecture and hardware accelerator design for robust analysis in diffuse correlation spectroscopy.

Zhenya Zang, Quan Wang, Mingliang Pan, Yuanzhe Zhang, Xi Chen, Xingda Li, David Day-Uei Li

Comput. Methods Programs Biomed., 2025

2024

Information bottleneck based knowledge selection for commonsense reasoning.

Zhao Yang, Yuanzhe Zhang, Pengfei Cao, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu

Inf. Sci., March, 2024

Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression.

Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Yiming Ju, Jun Zhao, Kang Liu

ACM Trans. Asian Low Resour. Lang. Inf. Process., February, 2024

A comprehensive overview of diffuse correlation spectroscopy: Theoretical framework, recent advances in hardware, analysis, and applications.

Quan Wang, Mingliang Pan, Lucas Kreiss, Saeed Samaei, Stefan A. Carp, Johannes D. Johansson, Yuanzhe Zhang, Melissa Wu, Roarke Horstmeyer, Mamadou Diop, David Day-Uei Li

NeuroImage, 2024

Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks.

Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Jun Zhao

CoRR, 2024

<i>SKIntern</i>: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models.

Huanxuan Liao, Shizhu He, Yupu Hao, Xiang Li, Yuanzhe Zhang, Kang Liu, Jun Zhao

CoRR, 2024

WTU-EVAL: A Whether-or-Not Tool Usage Evaluation Benchmark for Large Language Models.

Kangyun Ning, Yisong Su, Xueqiang Lv, Yuanzhe Zhang, Jian Liu, Kang Liu, Jinan Xu

CoRR, 2024

From Instance Training to Instruction Learning: Task Adapters Generation from Instructions.

Huanxuan Liao, Yao Xu, Shizhu He, Yuanzhe Zhang, Yanchao Hao, Shengping Liu, Kang Liu, Jun Zhao

CoRR, 2024

Imagination Augmented Generation: Learning to Imagine Richer Context for Question Answering over Large Language Models.

Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Shengping Liu, Jun Zhao

CoRR, 2024

On the In-context Generation of Language Models.

Zhongtao Jiang, Yuanzhe Zhang, Kun Luo, Xiaowei Yuan, Jun Zhao, Kang Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models.

Yifan Wei, Xiaoyan Yu, Yixuan Weng, Huanhuan Ma, Yuanzhe Zhang, Jun Zhao, Kang Liu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Unsupervised Text Style Transfer with Deep Generative Models.

Zhongtao Jiang, Yuanzhe Zhang, Yiming Ju, Kang Liu

CoRR, 2023

Multi-View Graph Representation Learning for Answering Hybrid Numerical Reasoning Question.

Yifan Wei, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu

CoRR, 2023

Vessel Behavior Anomaly Detection Using Graph Attention Network.

Yuanzhe Zhang, Qiqiang Jin, Maohan Liang, Ruixin Ma, Ryan Wen Liu

Proceedings of the Neural Information Processing - 30th International Conference, 2023

TxAllo: Dynamic Transaction Allocation in Sharded Blockchain Systems.

Yuanzhe Zhang, Shirui Pan, Jiangshan Yu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process.

Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Cao Liu, Jun Zhao, Kang Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models.

Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Generative Calibration for In-context Learning.

Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jun Zhao, Kang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Hierarchical Explanation Generation Method Based on Feature Interaction Detection.

Yiming Ju, Yuanzhe Zhang, Kang Liu, Jun Zhao

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Interpreting Sentiment Composition with Latent Semantic Tree.

Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Generating Hierarchical Explanations on Text Classification Without Connecting Rules.

Yiming Ju, Yuanzhe Zhang, Kang Liu, Jun Zhao

CoRR, 2022

CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers.

Yiming Ju, Weikang Wang, Yuanzhe Zhang, Suncong Zheng, Kang Liu, Jun Zhao

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Can We Really Trust Explanations? Evaluating the Stability of Feature Attribution Explanation Methods via Adversarial Attack.

Zhao Yang, Yuanzhe Zhang, Zhongtao Jiang, Yiming Ju, Jun Zhao, Kang Liu

Proceedings of the Chinese Computational Linguistics - 21st China National Conference, 2022

Logic Traps in Evaluating Attribution Scores.

Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Enhancing unsupervised medical entity linking with multi-instance learning.

Cheng Yan, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yafei Shi, Shengping Liu

BMC Medical Informatics Decis. Mak., 2021

The Logic Traps in Evaluating Post-hoc Interpretations.

Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao

CoRR, 2021

Biomedical Concept Normalization by Leveraging Hypernyms.

Cheng Yan, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yafei Shi, Shengping Liu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations.

Yiming Ju, Yuanzhe Zhang, Zhixing Tian, Kang Liu, Xiaohuan Cao, Wenting Zhao, Jinlong Li, Jun Zhao

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Topic Knowledge Acquisition and Utilization for Machine Reading Comprehension in Social Media Domain.

Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao

Proceedings of the Chinese Computational Linguistics - 20th China National Conference, 2021

Alignment Rationale for Natural Language Inference.

Zhongtao Jiang, Yuanzhe Zhang, Zhao Yang, Jun Zhao, Kang Liu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

FCP Filter: A Dynamic Clustering-Prediction Framework for Customer Behavior.

Yuanzhe Zhang, Ling Luo, Yang Wang, Zhiyong Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Correlation-Aware Next Basket Recommendation Using Graph Attention Networks.

Yuanzhe Zhang, Ling Luo, Jianjia Zhang, Qiang Lu, Yang Wang, Zhiyong Wang

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Scene Restoring for Narrative Machine Reading Comprehension.

Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yantao Jia, Zhicheng Sheng

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

MIE: A Medical Information Extractor towards Medical Dialogues.

Yuanzhe Zhang, Zhongtao Jiang, Tao Zhang, Shiwan Liu, Jiarun Cao, Kang Liu, Shengping Liu, Jun Zhao

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding.

Zhixing Tian, Yuanzhe Zhang, Xinwei Feng, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Machine Reading Comprehension Using Structural Knowledge Graph-aware Network.

Delai Qiu, Yuanzhe Zhang, Xinwei Feng, Xiangwen Liao, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Reconstructed Option Rereading Network for Opinion Questions Reading Comprehension.

Delai Qiu, Liang Bao, Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao, Xiangwen Liao

Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

2017

An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge.

Yanchao Hao, Yuanzhe Zhang, Kang Liu, Shizhu He, Zhanyi Liu, Hua Wu, Jun Zhao

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Information.

Yuanzhe Zhang, Kang Liu, Shizhu He, Guoliang Ji, Zhanyi Liu, Hua Wu, Jun Zhao

CoRR, 2016

A Joint Embedding Method for Entity Alignment of Knowledge Bases.

Yanchao Hao, Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao

Proceedings of the Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data, 2016

A Joint Model for Question Answering over Multiple Knowledge Bases.

Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Question Answering over Knowledge Bases.

Kang Liu, Jun Zhao, Shizhu He, Yuanzhe Zhang

IEEE Intell. Syst., 2015

Monolithic very high frequency GaN switched-mode power converters.

Dragan Maksimovic, Yuanzhe Zhang, Miguel Rodriguez

Proceedings of the 2015 IEEE Custom Integrated Circuits Conference, 2015

2014

Question Answering over Linked Data Using First-order Logic.

Shizhu He, Kang Liu, Yuanzhe Zhang, Liheng Xu, Jun Zhao

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Ontology Matching with Word Embeddings.

Yuanzhe Zhang, Xuepeng Wang, Siwei Lai, Shizhu He, Kang Liu, Jun Zhao, Xueqiang Lv

Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2014

CASIA@V2: A MLN-based Question Answering System over Linked Data.

Shizhu He, Yuanzhe Zhang, Kang Liu, Jun Zhao

Proceedings of the Working Notes for CLEF 2014 Conference, 2014

2013

IAMA results for OAEI 2013.

Yuanzhe Zhang, Xuepeng Wang, Shizhu He, Kang Liu, Jun Zhao, Xueqiang Lv

Proceedings of the 8th International Workshop on Ontology Matching co-located with the 12th International Semantic Web Conference (ISWC 2013), 2013

2012

DC-bus voltage control strategy of DSTATCOM using modulation-ratio-regulation for start-up process.

Lei Chen, Xiaoxiao Cheng, Kun Yang, Yuanzhe Zhang, Guozhu Chen

Proceedings of the 21st IEEE International Symposium on Industrial Electronics, 2012