Yishi Xu - RankMe

27 papers A* 7A 4Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Semantically guided dynamic visual prototype refinement for compositional zero-shot learning. Neurocomputing Zhong Peng, Yishi Xu, Gerong Wang, Wenchao Chen, Jing Zhang, Bo Chen, Hongwei Liu
2025	J	`jnl`	Duplex: Dual Prototype Learning for Compositional Zero-Shot Learning. CoRR Zhong Peng, Yishi Xu, Gerong Wang, Wenchao Chen, Bo Chen, Jing Zhang
2024	J	`jnl`	Bilingual Adaptation of Monolingual Foundation Models. CoRR Gurpreet Gosal, Yishi Xu, Gokul Ramakrishnan, Rituraj Joshi, Avraham Sheinin, Zhiming Chen, Biswajit Mishra, Natalia Vassilieva, Joel Hestness, Neha Sengupta, Sunil Kumar Sahu, Bokang Jia, Onkar Pandit, Satheesh Katipomu, Samta Kamboj, Samujjwal Ghosh, Rahul Pal, Parvez Mullah, Soundar Doraiswamy, Mohamed El Karim Chami, Preslav Nakov
2024	—	`conf`	FLOR: On the Effectiveness of Language Adaptation. LREC/COLING Severino Da Dalt, Joan Llop, Irene Baucells, Marc Pàmies, Yishi Xu, Aitor Gonzalez-Agirre, Marta Villegas
2024	J	`jnl`	IfCMD: A Novel Method for Radar Target Detection under Complex Clutter Backgrounds. Remote. Sens. Chenxi Zhang, Yishi Xu, Wenchao Chen, Bo Chen, Chang Gao, Hongwei Liu
2024	A	`conf`	Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models. UAI Xinyang Liu, Dongsheng Wang, Bowei Fang, Miaoge Li, Yishi Xu, Zhibin Duan, Bo Chen, Mingyuan Zhou
2024	J	`jnl`	Recent Advances in Attack and Defense Approaches of Large Language Models. CoRR Jing Cui, Yishi Xu, Zhewei Huang, Shuchang Zhou, Jianbin Jiao, Junge Zhang
2024	J	`jnl`	keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM. CoRR Chaojie Wang, Yishi Xu, Zhong Peng, Chenxi Zhang, Bo Chen, Xinrun Wang, Lei Feng, Bo An
2023	A*	`conf`	Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process. ICML Zhibin Duan, Xinyang Liu, Yudi Su, Yishi Xu, Bo Chen, Mingyuan Zhou
2023	A*	`conf`	Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes. NeurIPS Yishi Xu, Jianqiao Sun, Yudi Su, Xinyang Liu, Zhibin Duan, Bo Chen, Mingyuan Zhou
2023	J	`jnl`	Multiscale Visual-Attribute Co-Attention for Zero-Shot Image Recognition. IEEE Trans. Neural Networks Learn. Syst. Hao Zhang, Long Tian, Zhengjue Wang, Yishi Xu, Pengyu Cheng, Ke Bai, Bo Chen
2023	J	`jnl`	Patch-Token Aligned Bayesian Prompt Learning for Vision-Language Models. CoRR Xinyang Liu, Dongsheng Wang, Miaoge Li, Zhibin Duan, Yishi Xu, Bo Chen, Mingyuan Zhou
2022	A*	`conf`	Bayesian Deep Embedding Topic Meta-Learner. ICML Zhibin Duan, Yishi Xu, Jianqiao Sun, Bo Chen, Wenchao Chen, Chaojie Wang, Mingyuan Zhou
2022	A*	`conf`	HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding. NeurIPS Yishi Xu, Dongsheng Wang, Bo Chen, Ruiying Lu, Zhibin Duan, Mingyuan Zhou
2022	J	`jnl`	HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding. CoRR Yishi Xu, Dongsheng Wang, Bo Chen, Ruiying Lu, Zhibin Duan, Mingyuan Zhou
2022	A*	`conf`	Knowledge-Aware Bayesian Deep Topic Model. NeurIPS Dongsheng Wang, Yishi Xu, Miaoge Li, Zhibin Duan, Chaojie Wang, Bo Chen, Mingyuan Zhou
2022	J	`jnl`	Knowledge-Aware Bayesian Deep Topic Model. CoRR Dongsheng Wang, Yishi Xu, Miaoge Li, Zhibin Duan, Chaojie Wang, Bo Chen, Mingyuan Zhou
2021	J	`jnl`	Domain-aware meta network for radar HRRP target recognition with missing aspects. Signal Process. Long Tian, Bo Chen, Wenchao Chen, Yishi Xu, Hongwei Liu
2021	A	`conf`	Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems. CIKM Kian Ahrabian, Yishi Xu, Yingxue Zhang, Jiapeng Wu, Yuening Wang, Mark Coates
2021	A*	`conf`	TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. SIGIR Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung
2021	J	`jnl`	TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. CoRR Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung
2021	A*	`conf`	TopicNet: Semantic Graph-Guided Topic Discovery. NeurIPS Zhibin Duan, Yishi Xu, Bo Chen, Dongsheng Wang, Chaojie Wang, Mingyuan Zhou
2021	J	`jnl`	TopicNet: Semantic Graph-Guided Topic Discovery. CoRR Zhibin Duan, Yishi Xu, Bo Chen, Dongsheng Wang, Chaojie Wang, Mingyuan Zhou
2020	A	`conf`	GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. CIKM Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates
2020	J	`jnl`	GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. CoRR Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates
2020	A	`conf`	Non Parametric Graph Learning for Bayesian Graph Neural Networks. UAI Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates
2020	J	`jnl`	Non-Parametric Graph Learning for Bayesian Graph Neural Networks. CoRR Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates