Feiyu Xiong

According to our database, Feiyu Xiong authored at least 44 papers between 2008 and 2024.

Collaborative distances:

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

2024

CodeKGC: Code Language Model for Generative Knowledge Graph Construction.

Zhen Bi, Jing Chen, Yinuo Jiang, Feiyu Xiong, Wei Guo, Huajun Chen, Ningyu Zhang

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

Relphormer: Relational Graph Transformer for Knowledge Graph Representations.

Zhen Bi, Siyuan Cheng, Jing Chen, Xiaozhuan Liang, Feiyu Xiong, Ningyu Zhang

Neurocomputing, January, 2024

QAEncoder: Towards Aligned Representation Learning in Question Answering System.

Zhengren Wang, Qinhan Yu, Shida Wei, Zhiyu Li, Feiyu Xiong, Xiaoxing Wang, Simin Niu, Hao Liang, Wentao Zhang

CoRR, 2024

MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object Scenarios.

Jiacheng Ruan, Wenzhen Yuan, Zehao Lin, Ning Liao, Zhiyu Li, Feiyu Xiong, Ting Liu, Yuzhuo Fu

CoRR, 2024

Attention Heads of Large Language Models: A Survey.

Zifan Zheng, Yezhaohui Wang, Yuxin Huang, Shichao Song, Mingchuan Yang, Bo Tang, Feiyu Xiong, Zhiyu Li

CoRR, 2024

Controllable Text Generation for Large Language Models: A Survey.

Xun Liang, Hanyu Wang, Yezhaohui Wang, Shichao Song, Jiawei Yang, Simin Niu, Jie Hu, Dan Liu, Shunyu Yao, Feiyu Xiong, Zhiyu Li

CoRR, 2024

Internal Consistency and Self-Feedback in Large Language Models: A Survey.

Xun Liang, Shichao Song, Zifan Zheng, Hanyu Wang, Qingchen Yu, Xunkai Li, Rong-Hua Li, Feiyu Xiong, Zhiyu Li

CoRR, 2024

Memory³: Language Modeling with Explicit Memory.

Hongkang Yang, Zehao Lin, Wenjin Wang, Hao Wu, Zhiyu Li, Bo Tang, Wenqiang Wei, Jinbo Wang, Zeyun Tang, Shichao Song, Chenyang Xi, Yu Yu, Kai Chen, Feiyu Xiong, Linpeng Tang, Weinan E

CoRR, 2024

HRDE: Retrieval-Augmented Large Language Models for Chinese Health Rumor Detection and Explainability.

Yanfang Chen, Ding Chen, Shichao Song, Simin Niu, Hanyu Wang, Zeyun Tang, Feiyu Xiong, Zhiyu Li

CoRR, 2024

Improving Generalization and Convergence by Enhancing Implicit Regularization.

Mingze Wang, Haotian He, Jinbo Wang, Zilin Wang, Guanhua Huang, Feiyu Xiong, Zhiyu Li, Weinan E, Lei Wu

CoRR, 2024

Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-Learning.

Xiang Liang, Simin Niu, Zhiyu Li, Sensen Zhang, Shichao Song, Hanyu Wang, Jiawei Yang, Feiyu Xiong, Bo Tang, Chenyang Xi

CoRR, 2024

xFinder: Robust and Pinpoint Answer Extraction for Large Language Models.

Qingchen Yu, Zifan Zheng, Shichao Song, Zhiyu Li, Feiyu Xiong, Bo Tang, Ding Chen

CoRR, 2024

Proxy-RLHF: Decoupling Generation and Alignment in Large Language Model with Proxy.

Yu Zhu, Chuxiong Sun, Wenfei Yang, Wenqiang Wei, Bo Tang, Tianzhu Zhang, Zhiyu Li, Shifeng Zhang, Feiyu Xiong, Jie Hu, Mingchuan Yang

CoRR, 2024

NewsBench: Systematic Evaluation of LLMs for Writing Proficiency and Safety Adherence in Chinese Journalistic Editorial Applications.

Miao Li, Ming-Bin Chen, Bo Tang, Shengbin Hou, Pengyu Wang, Haiying Deng, Zhiyu Li, Feiyu Xiong, Keming Mao, Peng Cheng, Yi Luo

CoRR, 2024

CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models.

Yuanjie Lyu, Zhiyu Li, Simin Niu, Feiyu Xiong, Bo Tang, Wenjin Wang, Hao Wu, Huanyong Liu, Tong Xu, Enhong Chen

CoRR, 2024

Grimoire is All You Need for Enhancing Large Language Models.

Ding Chen, Shichao Song, Qingchen Yu, Zhiyu Li, Wenjin Wang, Feiyu Xiong, Bo Tang

CoRR, 2024

Xinyu: An Efficient LLM-based System for Commentary Generation.

Yiquan Wu, Bo Tang, Chenyang Xi, Yu Yu, Pengyu Wang, Yifei Liu, Kun Kuang, Haiying Deng, Zhiyu Li, Feiyu Xiong, Jie Hu, Peng Cheng, Zhonghao Wang, Yi Wang, Yi Luo, Mingchuan Yang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models.

Junyi Zhu, Shuochen Liu, Yu Yu, Bo Tang, Yibo Yan, Zhiyu Li, Feiyu Xiong, Tong Xu, Matthew B. Blaschko

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

Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs.

Xun Liang, Hanyu Wang, Shichao Song, Mengting Hu, Xunzhi Wang, Zhiyu Li, Feiyu Xiong, Bo Tang

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

UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation.

Xun Liang, Shichao Song, Simin Niu, Zhiyu Li, Feiyu Xiong, Bo Tang, Yezhaohui Wang, Dawei He, Cheng Peng, Zhonghao Wang, Haiying Deng

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

NewsBench: A Systematic Evaluation Framework for Assessing Editorial Capabilities of Large Language Models in Chinese Journalism.

Miao Li, Ming-Bin Chen, Bo Tang, ShengbinHou ShengbinHou, Pengyu Wang, Haiying Deng, Zhiyu Li, Feiyu Xiong, Keming Mao, Cheng Peng, Yi Luo

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation.

Xun Liang, Shichao Song, Simin Niu, Zhiyu Li, Feiyu Xiong, Bo Tang, Zhaohui Wy, Dawei He, Peng Cheng, Zhonghao Wang, Haiying Deng

CoRR, 2023

Editing Language Model-based Knowledge Graph Embeddings.

Siyuan Cheng, Ningyu Zhang, Bozhong Tian, Zelin Dai, Feiyu Xiong, Wei Guo, Huajun Chen

CoRR, 2023

Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph.

Shumin Deng, Chengming Wang, Zhoubo Li, Ningyu Zhang, Zelin Dai, Hehong Chen, Feiyu Xiong, Ming Yan, Qiang Chen, Mosha Chen, Jiaoyan Chen, Jeff Z. Pan, Bryan Hooi, Huajun Chen

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

On Analyzing the Role of Image for Visual-Enhanced Relation Extraction (Student Abstract).

Lei Li, Xiang Chen, Shuofei Qiao, Feiyu Xiong, Huajun Chen, Ningyu Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

On Analyzing the Role of Image for Visual-enhanced Relation Extraction.

Lei Li, Xiang Chen, Shuofei Qiao, Feiyu Xiong, Huajun Chen, Ningyu Zhang

CoRR, 2022

BCRLSP: An Offline Reinforcement Learning Framework for Sequential Targeted Promotion.

Fanglin Chen, Xiao Liu, Bo Tang, Feiyu Xiong, Serim Hwang, Guomian Zhuang

CoRR, 2022

Relphormer: Relational Graph Transformer for Knowledge Graph Representation.

Zhen Bi, Siyuan Cheng, Ningyu Zhang, Xiaozhuan Liang, Feiyu Xiong, Huajun Chen

CoRR, 2022

Bridging the Gap between Reality and Ideality of Entity Matching: A Revisiting and Benchmark Re-Construction.

Tianshu Wang, Hongyu Lin, Cheng Fu, Xianpei Han, Le Sun, Feiyu Xiong, Hui Chen, Minlong Lu, Xiuwen Zhu

CoRR, 2022

Knowledge Extraction in Low-Resource Scenarios: Survey and Perspective.

Shumin Deng, Ningyu Zhang, Hui Chen, Feiyu Xiong, Jeff Z. Pan, Huajun Chen

CoRR, 2022

Ontology-enhanced Prompt-tuning for Few-shot Learning.

Hongbin Ye, Ningyu Zhang, Shumin Deng, Xiang Chen, Hui Chen, Feiyu Xiong, Xi Chen, Huajun Chen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer.

Xin Xie, Ningyu Zhang, Zhoubo Li, Shumin Deng, Hui Chen, Feiyu Xiong, Mosha Chen, Huajun Chen

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs.

Wen Zhang, Xiangnan Chen, Zhen Yao, Mingyang Chen, Yushan Zhu, Hongtao Yu, Yufeng Huang, Yajing Xu, Ningyu Zhang, Zezhong Xu, Zonggang Yuan, Feiyu Xiong, Huajun Chen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Disentangled Ontology Embedding for Zero-shot Learning.

Yuxia Geng, Jiaoyan Chen, Wen Zhang, Yajing Xu, Zhuo Chen, Jeff Z. Pan, Yufeng Huang, Feiyu Xiong, Huajun Chen

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Bridging the Gap between Reality and Ideality of Entity Matching: A Revisting and Benchmark Re-Constrcution.

Tianshu Wang, Hongyu Lin, Cheng Fu, Xianpei Han, Le Sun, Feiyu Xiong, Hui Chen, Minlong Lu, Xiuwen Zhu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning.

Yushi Bai, Xin Lv, Juanzi Li, Lei Hou, Yincen Qu, Zelin Dai, Feiyu Xiong

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Interpretable performance analysis towards offline reinforcement learning: A dataset perspective.

Chenyang Xi, Bo Tang, Jiajun Shen, Xinfu Liu, Feiyu Xiong, Xueying Li

CoRR, 2021

BCORLE(λ): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market.

Yang Zhang, Bo Tang, Qingyu Yang, Dou An, Hongyin Tang, Chenyang Xi, Xueying Li, Feiyu Xiong

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules.

Wen Zhang, Shumin Deng, Mingyang Chen, Liang Wang, Qiang Chen, Feiyu Xiong, Xiangwen Liu, Huajun Chen

Proceedings of the IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, Virtual Event, Thailand, December 6, 2021

2020

Studying Product Competition Using Representation Learning.

Fanglin Chen, Xiao Liu, Davide Proserpio, Isamar Troncoso, Feiyu Xiong

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Automatic Aspect-Based Sentiment Analysis (AABSA) from Customer Reviews.

Jiaming Xu, Bo Tang, Xiao Liu, Feiyu Xiong

Proceedings of the 3rd Workshop on Affective Content Analysis (AffCon 2020) co-located with Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020

2016

Kernelized Information-Theoretic Metric Learning for Cancer Diagnosis Using High-Dimensional Molecular Profiling Data.

Feiyu Xiong, Moshe Kam, Leonid Hrebien, Beilun Wang, Yanjun Qi

ACM Trans. Knowl. Discov. Data, 2016

2011

Improved blood glucose estimation through multi-sensor fusion.

Feiyu Xiong, Brian R. Hipszer, Jeffrey Joseph, Moshe Kam

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2008

Optimal Updating Time Using Theory of Reliability.

Li Bai, Feiyu Xiong, Michael Korostelev, Saroj Biswas

Proceedings of the 14th International Conference on Parallel and Distributed Systems, 2008