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 (ISIE, 2012)

IAMA results for OAEI 2013. - Yuanzhe Zhang; Xuepeng Wang; Shizhu He; Kang Liu 001; Jun Zhao 001; Xueqiang Lv (OM, 2013)

CASIA@V2: A MLN-based Question Answering System over Linked Data. - Shizhu He; Yuanzhe Zhang; Kang Liu 001; Jun Zhao 001 (CLEF (Working Notes), 2014)

Ontology Matching with Word Embeddings. - Yuanzhe Zhang; Xuepeng Wang; Siwei Lai; Shizhu He; Kang Liu 001; Jun Zhao 001; Xueqiang Lv (CCL, 2014)

Question Answering over Linked Data Using First-order Logic. - Shizhu He; Kang Liu 001; Yuanzhe Zhang; Liheng Xu; Jun Zhao 001 (EMNLP, 2014)

Monolithic very high frequency GaN switched-mode power converters. - Dragan Maksimovic; Yuanzhe Zhang; Miguel Rodriguez (CICC, 2015)

Question Answering over Knowledge Bases. - Kang Liu 001; Jun Zhao 001; Shizhu He; Yuanzhe Zhang (IEEE Intell. Syst., 2015)

A Joint Model for Question Answering over Multiple Knowledge Bases. - Yuanzhe Zhang; Shizhu He; Kang Liu 001; Jun Zhao 001 (AAAI, 2016)

A Joint Embedding Method for Entity Alignment of Knowledge Bases. - Yanchao Hao; Yuanzhe Zhang; Shizhu He; Kang Liu 001; Jun Zhao 001 (CCKS, 2016)

Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Information. - Yuanzhe Zhang; Kang Liu 001; Shizhu He; Guoliang Ji; Zhanyi Liu; Hua Wu 003; Jun Zhao 001 (CoRR, 2016)

An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge. - Yanchao Hao; Yuanzhe Zhang; Kang Liu 001; Shizhu He; Zhanyi Liu; Hua Wu 003; Jun Zhao 001 (ACL (1), 2017)

Reconstructed Option Rereading Network for Opinion Questions Reading Comprehension. - Delai Qiu; Liang Bao; Zhixing Tian; Yuanzhe Zhang; Kang Liu 001; Jun Zhao 001; Xiangwen Liao (CCL, 2019)

Machine Reading Comprehension Using Structural Knowledge Graph-aware Network. - Delai Qiu; Yuanzhe Zhang; Xinwei Feng; Xiangwen Liao; Wenbin Jiang 002; Yajuan Lyu; Kang Liu 001; Jun Zhao 001 (EMNLP/IJCNLP (1), 2019)

Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding. - Zhixing Tian; Yuanzhe Zhang; Xinwei Feng; Wenbin Jiang 002; Yajuan Lyu; Kang Liu 001; Jun Zhao 001 (AAAI, 2020)

MIE: A Medical Information Extractor towards Medical Dialogues. - Yuanzhe Zhang; Zhongtao Jiang; Tao Zhang 097; Shiwan Liu; Jiarun Cao; Kang Liu 001; Shengping Liu; Jun Zhao 001 (ACL, 2020)

Scene Restoring for Narrative Machine Reading Comprehension. - Zhixing Tian; Yuanzhe Zhang; Kang Liu 001; Jun Zhao 001; Yantao Jia; Zhicheng Sheng (EMNLP (1), 2020)

Correlation-Aware Next Basket Recommendation Using Graph Attention Networks. - Yuanzhe Zhang; Ling Luo 002; Jianjia Zhang; Qiang Lu; Yang Wang 002; Zhiyong Wang 001 (ICONIP (4), 2020)

FCP Filter: A Dynamic Clustering-Prediction Framework for Customer Behavior. - Yuanzhe Zhang; Ling Luo 002; Yang Wang 002; Zhiyong Wang 001 (PAKDD (1), 2020)

Alignment Rationale for Natural Language Inference. - Zhongtao Jiang; Yuanzhe Zhang; Zhao Yang 004; Jun Zhao 001; Kang Liu 001 (ACL/IJCNLP (1), 2021)

Topic Knowledge Acquisition and Utilization for Machine Reading Comprehension in Social Media Domain. - Zhixing Tian; Yuanzhe Zhang; Kang Liu 001; Jun Zhao 001 (CCL, 2021)

Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations. - Yiming Ju; Yuanzhe Zhang; Zhixing Tian; Kang Liu 001; Xiaohuan Cao; Wenting Zhao; Jinlong Li; Jun Zhao 001 (EMNLP (1), 2021)

Biomedical Concept Normalization by Leveraging Hypernyms. - Cheng Yan; Yuanzhe Zhang; Kang Liu 001; Jun Zhao 001; Yafei Shi; Shengping Liu (EMNLP (1), 2021)

The Logic Traps in Evaluating Post-hoc Interpretations. - Yiming Ju; Yuanzhe Zhang; Zhao Yang 004; Zhongtao Jiang; Kang Liu 001; Jun Zhao 001 (CoRR, 2021)

Enhancing unsupervised medical entity linking with multi-instance learning. - Cheng Yan; Yuanzhe Zhang; Kang Liu 001; Jun Zhao 001; Yafei Shi; Shengping Liu (BMC Medical Informatics Decis. Mak., 2021)

Logic Traps in Evaluating Attribution Scores. - Yiming Ju; Yuanzhe Zhang; Zhao Yang 004; Zhongtao Jiang; Kang Liu 001; Jun Zhao 001 (ACL (1), 2022)

Can We Really Trust Explanations? Evaluating the Stability of Feature Attribution Explanation Methods via Adversarial Attack. - Zhao Yang 004; Yuanzhe Zhang; Zhongtao Jiang; Yiming Ju; Jun Zhao 001; Kang Liu 001 (CCL, 2022)

CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers. - Yiming Ju; Weikang Wang 005; Yuanzhe Zhang; Suncong Zheng; Kang Liu 001; Jun Zhao 001 (COLING, 2022)

Generating Hierarchical Explanations on Text Classification Without Connecting Rules. - Yiming Ju; Yuanzhe Zhang; Kang Liu 001; Jun Zhao 001 (CoRR, 2022)

Interpreting Sentiment Composition with Latent Semantic Tree. - Zhongtao Jiang; Yuanzhe Zhang; Cao Liu; Jiansong Chen; Jun Zhao 001; Kang Liu 001 (ACL (Findings), 2023)

A Hierarchical Explanation Generation Method Based on Feature Interaction Detection. - Yiming Ju; Yuanzhe Zhang; Kang Liu 001; Jun Zhao 001 (ACL (Findings), 2023)

Generative Calibration for In-context Learning. - Zhongtao Jiang; Yuanzhe Zhang; Cao Liu; Jun Zhao 001; Kang Liu 001 (EMNLP (Findings), 2023)

MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models. - Yifan Wei 001; Yisong Su; Huanhuan Ma; Xiaoyan Yu; Fangyu Lei; Yuanzhe Zhang; Jun Zhao 001; Kang Liu 001 (EMNLP (Findings), 2023)

Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process. - Zhao Yang 004; Yuanzhe Zhang; Dianbo Sui; Cao Liu; Jun Zhao 001; Kang Liu 001 (EMNLP, 2023)

TxAllo: Dynamic Transaction Allocation in Sharded Blockchain Systems. - Yuanzhe Zhang; Shirui Pan; Jiangshan Yu (ICDE, 2023)

Vessel Behavior Anomaly Detection Using Graph Attention Network. - Yuanzhe Zhang; Qiqiang Jin; Maohan Liang; Ruixin Ma; Ryan Wen Liu (ICONIP (5), 2023)

Multi-View Graph Representation Learning for Answering Hybrid Numerical Reasoning Question. - Yifan Wei 001; Fangyu Lei; Yuanzhe Zhang; Jun Zhao 001; Kang Liu 001 (CoRR, 2023)

Unsupervised Text Style Transfer with Deep Generative Models. - Zhongtao Jiang; Yuanzhe Zhang; Yiming Ju; Kang Liu (CoRR, 2023)

Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models. - Yifan Wei 001; Xiaoyan Yu; Yixuan Weng; Huanhuan Ma; Yuanzhe Zhang; Jun Zhao 001; Kang Liu 001 (CIKM, 2024)

On the In-context Generation of Language Models. - Zhongtao Jiang; Yuanzhe Zhang; Kun Luo; Xiaowei Yuan; Jun Zhao 001; Kang Liu 001 (EMNLP, 2024)

From Instance Training to Instruction Learning: Task Adapters Generation from Instructions. - Huanxuan Liao; Shizhu He; Yao Xu; Yuanzhe Zhang; Yanchao Hao; Shengping Liu; Kang Liu 001; Jun Zhao 001 (NeurIPS, 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 001; Shengping Liu; Jun Zhao 001 (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 032; Kang Liu 001; Jinan Xu (CoRR, 2024)

SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models. - Huanxuan Liao; Shizhu He; Yupu Hao; Xiang Li; Yuanzhe Zhang; Kang Liu 001; Jun Zhao 001 (CoRR, 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)

Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression. - Zhao Yang 004; Yuanzhe Zhang; Dianbo Sui; Yiming Ju; Jun Zhao 001; Kang Liu 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Information bottleneck based knowledge selection for commonsense reasoning. - Zhao Yang 004; Yuanzhe Zhang; Pengfei Cao; Cao Liu; Jiansong Chen; Jun Zhao 001; Kang Liu 001 (Inf. Sci., 2024)

Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks. - Huanxuan Liao; Shizhu He; Yao Xu; Yuanzhe Zhang; Kang Liu 001; Jun Zhao 001 (AAAI, 2025)

SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models. - Huanxuan Liao; Shizhu He; Yupu Hao; Xiang Li; Yuanzhe Zhang; Jun Zhao 001; Kang Liu 001 (COLING, 2025)

Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering. - Huanxuan Liao; Shizhu He; Yao Xu; Yuanzhe Zhang; Shengping Liu; Kang Liu 001; Jun Zhao 001 (COLING, 2025)

WTU-EVAL: A Whether-or-Not Tool Usage Evaluation Benchmark for Large Language Models. - Jian Liu 032; Kangyun Ning; Yisong Su; Wenjuan Han; Jinan Xu; Yuanzhe Zhang (ICASSP, 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)

Mosaic: Client-driven Account Allocation Framework in Sharded Blockchains. - Yuanzhe Zhang; Shirui Pan; Jiangshan Yu (CoRR, 2025)

Gated Multimodal Graph Learning for Personalized Recommendation. - Sibei Liu; Yuanzhe Zhang; Xiang Li; Yunbo Liu; Chengwei Feng; Hao Yang (CoRR, 2025)

A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy. - Xiang Li; Yifan Lin; Yuanzhe Zhang (CoRR, 2025)