Yuanzhe Zhang - RankMe

64 papers A* 9A 2B 3Misc 1Journal 26Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CSI-DMT: multi-focus image fusion via cross-task semantic interaction and dual-attention mixing transformer. Vis. Comput. Hao Zhai, Yuanzhe Zhang, Zhi Zeng, Minyu Deng, Yiyang Ru
2026	J	`jnl`	MS-DCSNet: Global-local feature interaction and multi-scale dynamic channel shuffle attention for medical image segmentation. Appl. Intell. Hao Zhai, Yang Zhang, Lei Yu, Ping Yu, Yuanzhe Zhang
2025	J	`jnl`	A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy. CoRR Xiang Li, Yifan Lin, Yuanzhe Zhang
2025	B	`conf`	Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering. COLING Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Shengping Liu, Kang Liu, Jun Zhao
2025	J	`jnl`	Gated Multimodal Graph Learning for Personalized Recommendation. CoRR Sibei Liu, Yuanzhe Zhang, Xiang Li, Yunbo Liu, Chengwei Feng, Hao Yang
2025	J	`jnl`	Leveraging Large Language Models to Bridge On-chain and Off-chain Transparency in Stablecoins. CoRR Yuexin Xiang, Yuchen Lei, SM Mahir Shazeed Rish, Yuanzhe Zhang, Qin Wang, Tsz Hon Yuen, Jiangshan Yu
2025	A	`conf`	Mosaic: Client-driven Account Allocation Framework in Sharded Blockchains. ICDCS Yuanzhe Zhang, Shirui Pan, Jiangshan Yu
2025	J	`jnl`	Mosaic: Client-driven Account Allocation Framework in Sharded Blockchains. CoRR Yuanzhe Zhang, Shirui Pan, Jiangshan Yu
2025	A*	`conf`	Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks. AAAI Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Jun Zhao
2025	B	`conf`	SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models. COLING Huanxuan Liao, Shizhu He, Yupu Hao, Xiang Li, Yuanzhe Zhang, Jun Zhao, Kang Liu
2025	J	`jnl`	Towards high-performance deep learning architecture and hardware accelerator design for robust analysis in diffuse correlation spectroscopy. Comput. Methods Programs Biomed. Zhenya Zang, Quan Wang, Mingliang Pan, Yuanzhe Zhang, Xi Chen, Xingda Li, David Day-Uei Li
2025	Misc	`conf`	WTU-EVAL: A Whether-or-Not Tool Usage Evaluation Benchmark for Large Language Models. ICASSP Jian Liu, Kangyun Ning, Yisong Su, Wenjuan Han, Jinan Xu, Yuanzhe Zhang
2024	J	`jnl`	A comprehensive overview of diffuse correlation spectroscopy: Theoretical framework, recent advances in hardware, analysis, and applications. NeuroImage 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
2024	A	`conf`	Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models. CIKM Yifan Wei, Xiaoyan Yu, Yixuan Weng, Huanhuan Ma, Yuanzhe Zhang, Jun Zhao, Kang Liu
2024	J	`jnl`	Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models. CoRR Yifan Wei, Xiaoyan Yu, Yixuan Weng, Huanhuan Ma, Yuanzhe Zhang, Jun Zhao, Kang Liu
2024	J	`jnl`	Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression. ACM Trans. Asian Low Resour. Lang. Inf. Process. Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Yiming Ju, Jun Zhao, Kang Liu
2024	A*	`conf`	From Instance Training to Instruction Learning: Task Adapters Generation from Instructions. NeurIPS Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Yanchao Hao, Shengping Liu, Kang Liu, Jun Zhao
2024	J	`jnl`	From Instance Training to Instruction Learning: Task Adapters Generation from Instructions. CoRR Huanxuan Liao, Yao Xu, Shizhu He, Yuanzhe Zhang, Yanchao Hao, Shengping Liu, Kang Liu, Jun Zhao
2024	J	`jnl`	Imagination Augmented Generation: Learning to Imagine Richer Context for Question Answering over Large Language Models. CoRR Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Shengping Liu, Jun Zhao
2024	J	`jnl`	Information bottleneck based knowledge selection for commonsense reasoning. Inf. Sci. Zhao Yang, Yuanzhe Zhang, Pengfei Cao, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu
2024	J	`jnl`	Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks. CoRR Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Jun Zhao
2024	A*	`conf`	On the In-context Generation of Language Models. EMNLP Zhongtao Jiang, Yuanzhe Zhang, Kun Luo, Xiaowei Yuan, Jun Zhao, Kang Liu
2024	J	`jnl`	WTU-EVAL: A Whether-or-Not Tool Usage Evaluation Benchmark for Large Language Models. CoRR Kangyun Ning, Yisong Su, Xueqiang Lv, Yuanzhe Zhang, Jian Liu, Kang Liu, Jinan Xu
2023	—	`conf`	A Hierarchical Explanation Generation Method Based on Feature Interaction Detection. ACL (Findings) Yiming Ju, Yuanzhe Zhang, Kang Liu, Jun Zhao
2023	—	`conf`	Generative Calibration for In-context Learning. EMNLP (Findings) Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jun Zhao, Kang Liu
2023	J	`jnl`	Generative Calibration for In-context Learning. CoRR Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jun Zhao, Kang Liu
2023	—	`conf`	Interpreting Sentiment Composition with Latent Semantic Tree. ACL (Findings) Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu
2023	J	`jnl`	Interpreting Sentiment Composition with Latent Semantic Tree. CoRR Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu
2023	—	`conf`	MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models. EMNLP (Findings) Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu
2023	J	`jnl`	MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models. CoRR Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu
2023	J	`jnl`	Multi-View Graph Representation Learning for Answering Hybrid Numerical Reasoning Question. CoRR Yifan Wei, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu
2023	A*	`conf`	Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process. EMNLP Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Cao Liu, Jun Zhao, Kang Liu
2023	A*	`conf`	TxAllo: Dynamic Transaction Allocation in Sharded Blockchain Systems. ICDE Yuanzhe Zhang, Shirui Pan, Jiangshan Yu
2023	J	`jnl`	Unsupervised Text Style Transfer with Deep Generative Models. CoRR Zhongtao Jiang, Yuanzhe Zhang, Yiming Ju, Kang Liu
2023	—	`conf`	Vessel Behavior Anomaly Detection Using Graph Attention Network. ICONIP (5) Yuanzhe Zhang, Qiqiang Jin, Maohan Liang, Ruixin Ma, Ryan Wen Liu
2022	B	`conf`	CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers. COLING Yiming Ju, Weikang Wang, Yuanzhe Zhang, Suncong Zheng, Kang Liu, Jun Zhao
2022	—	`conf`	Can We Really Trust Explanations? Evaluating the Stability of Feature Attribution Explanation Methods via Adversarial Attack. CCL Zhao Yang, Yuanzhe Zhang, Zhongtao Jiang, Yiming Ju, Jun Zhao, Kang Liu
2022	J	`jnl`	Generating Hierarchical Explanations on Text Classification Without Connecting Rules. CoRR Yiming Ju, Yuanzhe Zhang, Kang Liu, Jun Zhao
2022	—	`conf`	Logic Traps in Evaluating Attribution Scores. ACL (1) Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao
2022	J	`jnl`	TxAllo: Dynamic Transaction Allocation in Sharded Blockchain Systems. CoRR Yuanzhe Zhang, Shirui Pan, Jiangshan Yu
2021	—	`conf`	Alignment Rationale for Natural Language Inference. ACL/IJCNLP (1) Zhongtao Jiang, Yuanzhe Zhang, Zhao Yang, Jun Zhao, Kang Liu
2021	—	`conf`	Biomedical Concept Normalization by Leveraging Hypernyms. EMNLP (1) Cheng Yan, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yafei Shi, Shengping Liu
2021	—	`conf`	Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations. EMNLP (1) Yiming Ju, Yuanzhe Zhang, Zhixing Tian, Kang Liu, Xiaohuan Cao, Wenting Zhao, Jinlong Li, Jun Zhao
2021	J	`jnl`	Enhancing unsupervised medical entity linking with multi-instance learning. BMC Medical Informatics Decis. Mak. Cheng Yan, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yafei Shi, Shengping Liu
2021	J	`jnl`	The Logic Traps in Evaluating Post-hoc Interpretations. CoRR Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao
2021	—	`conf`	Topic Knowledge Acquisition and Utilization for Machine Reading Comprehension in Social Media Domain. CCL Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao
2020	A*	`conf`	Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding. AAAI Zhixing Tian, Yuanzhe Zhang, Xinwei Feng, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao
2020	—	`conf`	Correlation-Aware Next Basket Recommendation Using Graph Attention Networks. ICONIP (4) Yuanzhe Zhang, Ling Luo, Jianjia Zhang, Qiang Lu, Yang Wang, Zhiyong Wang
2020	—	`conf`	FCP Filter: A Dynamic Clustering-Prediction Framework for Customer Behavior. PAKDD (1) Yuanzhe Zhang, Ling Luo, Yang Wang, Zhiyong Wang
2020	A*	`conf`	MIE: A Medical Information Extractor towards Medical Dialogues. ACL Yuanzhe Zhang, Zhongtao Jiang, Tao Zhang, Shiwan Liu, Jiarun Cao, Kang Liu, Shengping Liu, Jun Zhao
2020	—	`conf`	Scene Restoring for Narrative Machine Reading Comprehension. EMNLP (1) Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yantao Jia, Zhicheng Sheng
2019	—	`conf`	Machine Reading Comprehension Using Structural Knowledge Graph-aware Network. EMNLP/IJCNLP (1) Delai Qiu, Yuanzhe Zhang, Xinwei Feng, Xiangwen Liao, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao
2019	—	`conf`	Reconstructed Option Rereading Network for Opinion Questions Reading Comprehension. CCL Delai Qiu, Liang Bao, Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao, Xiangwen Liao
2017	—	`conf`	An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge. ACL (1) Yanchao Hao, Yuanzhe Zhang, Kang Liu, Shizhu He, Zhanyi Liu, Hua Wu, Jun Zhao
2016	—	`conf`	A Joint Embedding Method for Entity Alignment of Knowledge Bases. CCKS Yanchao Hao, Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao
2016	A*	`conf`	A Joint Model for Question Answering over Multiple Knowledge Bases. AAAI Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao
2016	J	`jnl`	Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Information. CoRR Yuanzhe Zhang, Kang Liu, Shizhu He, Guoliang Ji, Zhanyi Liu, Hua Wu, Jun Zhao
2015	—	`conf`	Monolithic very high frequency GaN switched-mode power converters. CICC Dragan Maksimovic, Yuanzhe Zhang, Miguel Rodriguez
2015	J	`jnl`	Question Answering over Knowledge Bases. IEEE Intell. Syst. Kang Liu, Jun Zhao, Shizhu He, Yuanzhe Zhang
2014	—	`conf`	CASIA@V2: A MLN-based Question Answering System over Linked Data. CLEF (Working Notes) Shizhu He, Yuanzhe Zhang, Kang Liu, Jun Zhao
2014	—	`conf`	Ontology Matching with Word Embeddings. CCL Yuanzhe Zhang, Xuepeng Wang, Siwei Lai, Shizhu He, Kang Liu, Jun Zhao, Xueqiang Lv
2014	A*	`conf`	Question Answering over Linked Data Using First-order Logic. EMNLP Shizhu He, Kang Liu, Yuanzhe Zhang, Liheng Xu, Jun Zhao
2013	—	`conf`	IAMA results for OAEI 2013. OM Yuanzhe Zhang, Xuepeng Wang, Shizhu He, Kang Liu, Jun Zhao, Xueqiang Lv
2012	—	`conf`	DC-bus voltage control strategy of DSTATCOM using modulation-ratio-regulation for start-up process. ISIE Lei Chen, Xiaoxiao Cheng, Kun Yang, Yuanzhe Zhang, Guozhu Chen