Ye Liu

According to our database, Ye Liu authored at least 34 papers between 2020 and 2024.

Collaborative distances:

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

2024

Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models.

Haoyu Tang, Ye Liu, Xukai Liu, Kai Zhang, Yanghai Zhang, Qi Liu, Enhong Chen

CoRR, 2024

Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models.

Ye Liu, Kai Zhang, Aoran Gan, Linan Yue, Feng Hu, Qi Liu, Enhong Chen

CoRR, 2024

Detect, Investigate, Judge and Determine: A Novel LLM-based Framework for Few-shot Fake News Detection.

Ye Liu, Jiajun Zhu, Kai Zhang, Haoyu Tang, Yanghai Zhang, Xukai Liu, Qi Liu, Enhong Chen

CoRR, 2024

Cooperative Classification and Rationalization for Graph Generalization.

Linan Yue, Qi Liu, Ye Liu, Weibo Gao, Fangzhou Yao, Wenfeng Li

Proceedings of the ACM on Web Conference 2024, 2024

A High-Performance ORB Accelerator with Algorithm and Hardware Co-design for Visual Localization.

Xiuyuan Qi, Ye Liu, Shuang Hao, Zherong Liu, Kun Huang, Minghui Yang, Liang Zhou, Jun Zhou

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

An FPGA-based Ultra-High Performance and Scalable Optical Flow Hardware Accelerator for Autonomous Driving.

Ye Liu, Shuang Hao, Kun Huang, Minghui Yang, Zili Huang, Xiuyuan Qi, Yiting Li, Liang Zhou, Yu Long, Jun Zhou

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Federated Self-Explaining GNNs with Anti-shortcut Augmentations.

Linan Yue, Qi Liu, Weibo Gao, Ye Liu, Kai Zhang, Yichao Du, Li Wang, Fangzhou Yao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Stellar: Energy-Efficient and Low-Latency SNN Algorithm and Hardware Co-Design with Spatiotemporal Computation.

Ruixin Mao, Lin Tang, Xingyu Yuan, Ye Liu, Jun Zhou

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting.

Xukai Liu, Ye Liu, Kai Zhang, Kehang Wang, Qi Liu, Enhong Chen

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

FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning.

Zhijun Dong, Likang Wu, Kai Zhang, Ye Liu, Yanghai Zhang, Zhi Li, Hongke Zhao, Enhong Chen

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

Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization.

Yanghai Zhang, Ye Liu, Shiwei Wu, Kai Zhang, Xukai Liu, Qi Liu, Enhong Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

TechPat: Technical Phrase Extraction for Patent Mining.

Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Yuting Ning, Jianhui Ma, Qi Liu, Enhong Chen

ACM Trans. Knowl. Discov. Data, November, 2023

BOHA: A High Performance VSLAM Backend Optimization Hardware Accelerator Using Recursive Fine-Grain H-Matrix Decomposition and Early-Computing With Approximate Linear Solver.

Ye Liu, Kun Huang, Neng Zhao, Jingyuan Li, Shuang Hao, Zili Huang, Xiuyuan Qi, Xinghao Wang, Liang Zhou, Liang Chang, Jun Zhou

IEEE Trans. Circuits Syst. II Express Briefs, October, 2023

NVP: A Flexible and Efficient Processor Architecture for Accelerating Diverse Computer Vision Tasks including DNN.

Ye Liu, Fei Wu, Neng Zhao, Qirong Zhang, Wenqiang Wang, Yutong Yang, Xiangting Li, Sixu Li, Zili Huang, Shuang Hao, Guangbin Ou, Liang Zhou, Liang Chang, Shuisheng Lin, Ningyi Xu, Jun Zhou

IEEE Trans. Circuits Syst. II Express Briefs, 2023

FedJudge: Federated Legal Large Language Model.

Linan Yue, Qi Liu, Yichao Du, Weibo Gao, Ye Liu, Fangzhou Yao

CoRR, 2023

Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering.

Meikai Bao, Qi Liu, Kai Zhang, Ye Liu, Linan Yue, Longfei Li, Jun Zhou

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Class-Dynamic and Hierarchy-Constrained Network for Entity Linking.

Kehang Wang, Qi Liu, Kai Zhang, Ye Liu, Hanqing Tao, Zhenya Huang, Enhong Chen

Proceedings of the Database Systems for Advanced Applications, 2023

Diagnosis Then Aggregation: An Adaptive Ensemble Strategy for Keyphrase Extraction.

Xin Jin, Qi Liu, Linan Yue, Ye Liu, Lili Zhao, Weibo Gao, Zheng Gong, Kai Zhang, Haoyang Bi

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs.

Xukai Liu, Kai Zhang, Ye Liu, Enhong Chen, Zhenya Huang, Linan Yue, Jiaxian Yan

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

Enhancing Hierarchical Text Classification through Knowledge Graph Integration.

Ye Liu, Kai Zhang, Zhenya Huang, Kehang Wang, Yanghai Zhang, Qi Liu, Enhong Chen

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

2022

MobileSP: An FPGA-Based Real-Time Keypoint Extraction Hardware Accelerator for Mobile VSLAM.

Ye Liu, Jingyuan Li, Kun Huang, Xiangting Li, Xiuyuan Qi, Liang Chang, Yu Long, Jun Zhou

IEEE Trans. Circuits Syst. I Regul. Pap., 2022

AdaSG: A Lightweight Feature Point Matching Method Using Adaptive Descriptor with GNN for VSLAM.

Ye Liu, Kun Huang, Jingyuan Li, Xiangting Li, Zeng Zeng, Liang Chang, Jun Zhou

Sensors, 2022

A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting.

Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Minglei Li, Qi Liu, Enhong Chen

Knowl. Inf. Syst., 2022

Text Classification via Learning Semantic Dependency and Association.

Guanqi Zhu, Hanqing Tao, Han Wu, Liyi Chen, Ye Liu, Qi Liu, Enhong Chen

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

A Review of Convolutional Neural Networks Hardware Accelerators for AIoT Edge Computing.

Fei Wu, Neng Zhao, Ye Liu, Liang Chang, Liang Zhou, Jun Zhou

Proceedings of the International Conference on UK-China Emerging Technologies, 2021

Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure.

Yixiao Ma, Shiwei Tong, Ye Liu, Likang Wu, Qi Liu, Enhong Chen, Wei Tong, Zi Yan

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

A Survey on Feature Point Extraction Techniques.

Kun Huang, Jingyuan Li, Ye Liu, Liang Chang, Jun Zhou

Proceedings of the 18th International SoC Design Conference, 2021

Guided Attention Network for Concept Extraction.

Songtao Fang, Zhenya Huang, Ming He, Shiwei Tong, Xiaoqing Huang, Ye Liu, Jie Huang, Qi Liu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network.

Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Qi Liu, Enhong Chen

Proceedings of the IEEE International Conference on Data Mining, 2021

Legal Judgment Prediction with Multiple Perspectives on Civil Cases.

Lili Zhao, Linan Yue, Yanqing An, Ye Liu, Kai Zhang, Weidong He, Yanmin Chen, Senchao Yuan, Qi Liu

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Stable and Diverse: A Unified Approach for Computerized Adaptive Testing.

Yuting Ning, Ye Liu, Zhenya Huang, Haoyang Bi, Qi Liu, Enhong Chen, Dan Zhang

Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021

RAODAT: An Energy-Efficient Reconfigurable AI-based Object Detection and Tracking Processor with Online Learning.

Yuchuan Gong, Qingsong Liu, Luying Que, Conghan Jia, Jiahui Huang, Ye Liu, Jiayan Gan, Yuxiang Xie, Yong Zhou, Lili Liu, Xiaoqiang Xiang, Liang Chang, Jun Zhou

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2021

2020

A Fast and Efficient FPGA-based Level Set Hardware Accelerator for Image Segmentation.

Ye Liu, Yin Wang, Liang Chang, Jun Zhou

Proceedings of the 2020 IEEE International Conference on Integrated Circuits, 2020

Technical Phrase Extraction for Patent Mining: A Multi-level Approach.

Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Jianhui Ma, Qi Liu, Enhong Chen, Hanqing Tao, Ke Rui

Proceedings of the 20th IEEE International Conference on Data Mining, 2020