Yishi Xu

According to our database, Yishi Xu authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM.

Chaojie Wang, Yishi Xu, Zhong Peng, Chenxi Zhang, Bo Chen, Xinrun Wang, Lei Feng, Bo An

CoRR, 2024

2023

Multiscale Visual-Attribute Co-Attention for Zero-Shot Image Recognition.

Hao Zhang, Long Tian, Zhengjue Wang, Yishi Xu, Pengyu Cheng, Ke Bai, Bo Chen

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Patch-Token Aligned Bayesian Prompt Learning for Vision-Language Models.

Xinyang Liu, Dongsheng Wang, Miaoge Li, Zhibin Duan, Yishi Xu, Bo Chen, Mingyuan Zhou

CoRR, 2023

Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes.

Yishi Xu, Jianqiao Sun, Yudi Su, Xinyang Liu, Zhibin Duan, Bo Chen, Mingyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process.

Zhibin Duan, Xinyang Liu, Yudi Su, Yishi Xu, Bo Chen, Mingyuan Zhou

Proceedings of the International Conference on Machine Learning, 2023

2022

HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding.

Yishi Xu, Dongsheng Wang, Bo Chen, Ruiying Lu, Zhibin Duan, Mingyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Knowledge-Aware Bayesian Deep Topic Model.

Dongsheng Wang, Yishi Xu, Miaoge Li, Zhibin Duan, Chaojie Wang, Bo Chen, Mingyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Bayesian Deep Embedding Topic Meta-Learner.

Zhibin Duan, Yishi Xu, Jianqiao Sun, Bo Chen, Wenchao Chen, Chaojie Wang, Mingyuan Zhou

Proceedings of the International Conference on Machine Learning, 2022

2021

Domain-aware meta network for radar HRRP target recognition with missing aspects.

Long Tian, Bo Chen, Wenchao Chen, Yishi Xu, Hongwei Liu

Signal Process., 2021

TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion.

Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung

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

TopicNet: Semantic Graph-Guided Topic Discovery.

Zhibin Duan, Yishi Xu, Bo Chen, Dongsheng Wang, Chaojie Wang, Mingyuan Zhou

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

Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems.

Kian Ahrabian, Yishi Xu, Yingxue Zhang, Jiapeng Wu, Yuening Wang, Mark Coates

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Non Parametric Graph Learning for Bayesian Graph Neural Networks.

Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems.

Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020