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ORCIDYuanzhe Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j6]Zhenya Zang
, Quan Wang, Mingliang Pan, Yuanzhe Zhang, Xi Chen, Xingda Li, David Day-Uei Li:
Towards high-performance deep learning architecture and hardware accelerator design for robust analysis in diffuse correlation spectroscopy. Comput. Methods Programs Biomed. 258: 108471 (2025)- [c35]Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Shengping Liu, Kang Liu, Jun Zhao:
Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering. COLING 2025: 1333-1352 - [c34]Huanxuan Liao, Shizhu He, Yupu Hao, Xiang Li, Yuanzhe Zhang, Jun Zhao, Kang Liu:
SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models. COLING 2025: 3203-3221 - 2024
- [j5]Zhao Yang, Yuanzhe Zhang, Pengfei Cao, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu:
Information bottleneck based knowledge selection for commonsense reasoning. Inf. Sci. 660: 120134 (2024) - [j4]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:
A comprehensive overview of diffuse correlation spectroscopy: Theoretical framework, recent advances in hardware, analysis, and applications. NeuroImage 298: 120793 (2024) - [j3]Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Yiming Ju, Jun Zhao, Kang Liu:
Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(2): 32:1-32:19 (2024) - [c33]Yifan Wei, Xiaoyan Yu, Yixuan Weng, Huanhuan Ma, Yuanzhe Zhang, Jun Zhao, Kang Liu:
Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models. CIKM 2024: 4118-4122 - [c32]Zhongtao Jiang, Yuanzhe Zhang, Kun Luo, Xiaowei Yuan, Jun Zhao, Kang Liu:
On the In-context Generation of Language Models. EMNLP 2024: 10169-10187 - [c31]Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Yanchao Hao, Shengping Liu, Kang Liu, Jun Zhao:
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions. NeurIPS 2024 - [i15]Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Shengping Liu, Jun Zhao:
Imagination Augmented Generation: Learning to Imagine Richer Context for Question Answering over Large Language Models. CoRR abs/2403.15268 (2024) - [i14]Huanxuan Liao, Yao Xu, Shizhu He, Yuanzhe Zhang, Yanchao Hao, Shengping Liu, Kang Liu, Jun Zhao:
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions. CoRR abs/2406.12382 (2024) - [i13]Kangyun Ning, Yisong Su, Xueqiang Lv, Yuanzhe Zhang, Jian Liu, Kang Liu, Jinan Xu:
WTU-EVAL: A Whether-or-Not Tool Usage Evaluation Benchmark for Large Language Models. CoRR abs/2407.12823 (2024) - [i12]Yifan Wei, Xiaoyan Yu, Yixuan Weng, Huanhuan Ma, Yuanzhe Zhang, Jun Zhao, Kang Liu:
Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models. CoRR abs/2409.00617 (2024) - [i11]Huanxuan Liao, Shizhu He, Yupu Hao, Xiang Li, Yuanzhe Zhang, Kang Liu, Jun Zhao:
SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models. CoRR abs/2409.13183 (2024) - [i10]Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Jun Zhao:
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks. CoRR abs/2409.13203 (2024) - 2023
- [c30]Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu:
Interpreting Sentiment Composition with Latent Semantic Tree. ACL (Findings) 2023: 7464-7478 - [c29]Yiming Ju, Yuanzhe Zhang, Kang Liu, Jun Zhao:
A Hierarchical Explanation Generation Method Based on Feature Interaction Detection. ACL (Findings) 2023: 12600-12611 - [c28]Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu:
MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models. EMNLP (Findings) 2023: 1434-1447 - [c27]Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jun Zhao, Kang Liu:
Generative Calibration for In-context Learning. EMNLP (Findings) 2023: 2312-2333 - [c26]Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Cao Liu, Jun Zhao, Kang Liu:
Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process. EMNLP 2023: 5443-5456 - [c25]Yuanzhe Zhang, Shirui Pan, Jiangshan Yu:
TxAllo: Dynamic Transaction Allocation in Sharded Blockchain Systems. ICDE 2023: 721-733 - [c24]Yuanzhe Zhang, Qiqiang Jin, Maohan Liang, Ruixin Ma, Ryan Wen Liu:
Vessel Behavior Anomaly Detection Using Graph Attention Network. ICONIP (5) 2023: 291-304 - [i9]Yifan Wei, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu:
Multi-View Graph Representation Learning for Answering Hybrid Numerical Reasoning Question. CoRR abs/2305.03458 (2023) - [i8]Zhongtao Jiang, Yuanzhe Zhang, Yiming Ju, Kang Liu:
Unsupervised Text Style Transfer with Deep Generative Models. CoRR abs/2308.16584 (2023) - [i7]Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu:
Interpreting Sentiment Composition with Latent Semantic Tree. CoRR abs/2308.16588 (2023) - [i6]Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu:
MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models. CoRR abs/2310.05157 (2023) - [i5]Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jun Zhao, Kang Liu:
Generative Calibration for In-context Learning. CoRR abs/2310.10266 (2023) - 2022
- [c23]Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao:
Logic Traps in Evaluating Attribution Scores. ACL (1) 2022: 5911-5922 - [c22]Zhao Yang, Yuanzhe Zhang, Zhongtao Jiang, Yiming Ju, Jun Zhao, Kang Liu:
Can We Really Trust Explanations? Evaluating the Stability of Feature Attribution Explanation Methods via Adversarial Attack. CCL 2022: 281-297 - [c21]Yiming Ju, Weikang Wang, Yuanzhe Zhang, Suncong Zheng, Kang Liu, Jun Zhao:
CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers. COLING 2022: 1697-1707 - [i4]Yiming Ju, Yuanzhe Zhang, Kang Liu, Jun Zhao:
Generating Hierarchical Explanations on Text Classification Without Connecting Rules. CoRR abs/2210.13270 (2022) - [i3]Yuanzhe Zhang, Shirui Pan, Jiangshan Yu:
TxAllo: Dynamic Transaction Allocation in Sharded Blockchain Systems. CoRR abs/2212.11584 (2022) - 2021
- [j2]Cheng Yan, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yafei Shi, Shengping Liu:
Enhancing unsupervised medical entity linking with multi-instance learning. BMC Medical Informatics Decis. Mak. 21-S(9): 317 (2021) - [c20]Zhongtao Jiang, Yuanzhe Zhang, Zhao Yang, Jun Zhao, Kang Liu:
Alignment Rationale for Natural Language Inference. ACL/IJCNLP (1) 2021: 5372-5387 - [c19]Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao:
Topic Knowledge Acquisition and Utilization for Machine Reading Comprehension in Social Media Domain. CCL 2021: 161-176 - [c18]Cheng Yan, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yafei Shi, Shengping Liu:
Biomedical Concept Normalization by Leveraging Hypernyms. EMNLP (1) 2021: 3512-3517 - [c17]Yiming Ju, Yuanzhe Zhang, Zhixing Tian, Kang Liu, Xiaohuan Cao, Wenting Zhao, Jinlong Li, Jun Zhao:
Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations. EMNLP (1) 2021: 3641-3652 - [i2]Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao:
The Logic Traps in Evaluating Post-hoc Interpretations. CoRR abs/2109.05463 (2021) - 2020
- [c16]Zhixing Tian, Yuanzhe Zhang, Xinwei Feng, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao:
Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding. AAAI 2020: 9032-9039 - [c15]Yuanzhe Zhang, Zhongtao Jiang, Tao Zhang, Shiwan Liu, Jiarun Cao, Kang Liu, Shengping Liu, Jun Zhao:
MIE: A Medical Information Extractor towards Medical Dialogues. ACL 2020: 6460-6469 - [c14]Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yantao Jia, Zhicheng Sheng:
Scene Restoring for Narrative Machine Reading Comprehension. EMNLP (1) 2020: 3063-3073 - [c13]Yuanzhe Zhang, Ling Luo, Jianjia Zhang, Qiang Lu, Yang Wang, Zhiyong Wang:
Correlation-Aware Next Basket Recommendation Using Graph Attention Networks. ICONIP (4) 2020: 746-753 - [c12]Yuanzhe Zhang, Ling Luo, Yang Wang, Zhiyong Wang:
FCP Filter: A Dynamic Clustering-Prediction Framework for Customer Behavior. PAKDD (1) 2020: 580-591
2010 – 2019
- 2019
- [c11]Delai Qiu, Liang Bao, Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao, Xiangwen Liao:
Reconstructed Option Rereading Network for Opinion Questions Reading Comprehension. CCL 2019: 93-104 - [c10]Delai Qiu, Yuanzhe Zhang, Xinwei Feng, Xiangwen Liao, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao:
Machine Reading Comprehension Using Structural Knowledge Graph-aware Network. EMNLP/IJCNLP (1) 2019: 5895-5900 - 2017
- [c9]Yanchao Hao, Yuanzhe Zhang, Kang Liu, Shizhu He, Zhanyi Liu, Hua Wu, Jun Zhao:
An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge. ACL (1) 2017: 221-231 - 2016
- [c8]Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao:
A Joint Model for Question Answering over Multiple Knowledge Bases. AAAI 2016: 3094-3100 - [c7]Yanchao Hao, Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao:
A Joint Embedding Method for Entity Alignment of Knowledge Bases. CCKS 2016: 3-14 - [i1]Yuanzhe Zhang, Kang Liu, Shizhu He, Guoliang Ji, Zhanyi Liu, Hua Wu, Jun Zhao:
Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Information. CoRR abs/1606.00979 (2016) - 2015
- [j1]Kang Liu, Jun Zhao, Shizhu He, Yuanzhe Zhang:
Question Answering over Knowledge Bases. IEEE Intell. Syst. 30(5): 26-35 (2015) - [c6]Dragan Maksimovic, Yuanzhe Zhang, Miguel Rodriguez:
Monolithic very high frequency GaN switched-mode power converters. CICC 2015: 1-4 - 2014
- [c5]Shizhu He, Yuanzhe Zhang, Kang Liu, Jun Zhao:
CASIA@V2: A MLN-based Question Answering System over Linked Data. CLEF (Working Notes) 2014: 1249-1259 - [c4]Yuanzhe Zhang, Xuepeng Wang, Siwei Lai, Shizhu He, Kang Liu, Jun Zhao, Xueqiang Lv:
Ontology Matching with Word Embeddings. CCL 2014: 34-45 - [c3]Shizhu He, Kang Liu, Yuanzhe Zhang, Liheng Xu, Jun Zhao:
Question Answering over Linked Data Using First-order Logic. EMNLP 2014: 1092-1103 - 2013
- [c2]Yuanzhe Zhang, Xuepeng Wang, Shizhu He, Kang Liu, Jun Zhao, Xueqiang Lv:
IAMA results for OAEI 2013. OM 2013: 123-130 - 2012
- [c1]Lei Chen, Xiaoxiao Cheng, Kun Yang, Yuanzhe Zhang, Guozhu Chen:
DC-bus voltage control strategy of DSTATCOM using modulation-ratio-regulation for start-up process. ISIE 2012: 275-279
Coauthor Index
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