GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. - Yishi Xu; Yingxue Zhang 001; Wei Guo 006; Huifeng Guo; Ruiming Tang; Mark Coates (CIKM, 2020)

Non Parametric Graph Learning for Bayesian Graph Neural Networks. - Soumyasundar Pal; Saber Malekmohammadi; Florence Regol; Yingxue Zhang 001; Yishi Xu; Mark Coates (UAI, 2020)

Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems. - Kian Ahrabian; Yishi Xu; Yingxue Zhang 001; Jiapeng Wu; Yuening Wang; Mark Coates (CIKM, 2021)

TopicNet: Semantic Graph-Guided Topic Discovery. - Zhibin Duan; Yishi Xu; Bo Chen 001; Dongsheng Wang 003; Chaojie Wang 001; Mingyuan Zhou (NeurIPS, 2021)

TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. - Jiapeng Wu; Yishi Xu; Yingxue Zhang 001; Chen Ma 001; Mark Coates; Jackie Chi Kit Cheung (SIGIR, 2021)

Domain-aware meta network for radar HRRP target recognition with missing aspects. - Long Tian; Bo Chen 001; Wenchao Chen; Yishi Xu; Hongwei Liu 001 (Signal Process., 2021)

Bayesian Deep Embedding Topic Meta-Learner. - Zhibin Duan; Yishi Xu; Jianqiao Sun; Bo Chen 001; Wenchao Chen; Chaojie Wang 001; Mingyuan Zhou (ICML, 2022)

Knowledge-Aware Bayesian Deep Topic Model. - Dongsheng Wang 003; Yishi Xu; Miaoge Li; Zhibin Duan; Chaojie Wang 001; Bo Chen 001; Mingyuan Zhou (NeurIPS, 2022)

HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding. - Yishi Xu; Dongsheng Wang 003; Bo Chen 001; Ruiying Lu; Zhibin Duan; Mingyuan Zhou (NeurIPS, 2022)

Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process. - Zhibin Duan; Xinyang Liu; Yudi Su; Yishi Xu; Bo Chen 001; Mingyuan Zhou (ICML, 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 001; Mingyuan Zhou (NeurIPS, 2023)

Patch-Token Aligned Bayesian Prompt Learning for Vision-Language Models. - Xinyang Liu; Dongsheng Wang 003; Miaoge Li; Zhibin Duan; Yishi Xu; Bo Chen 001; Mingyuan Zhou (CoRR, 2023)

Multiscale Visual-Attribute Co-Attention for Zero-Shot Image Recognition. - Hao Zhang 050; Long Tian; Zhengjue Wang; Yishi Xu; Pengyu Cheng; Ke Bai 001; Bo Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

FLOR: On the Effectiveness of Language Adaptation. - Severino Da Dalt; Joan Llop; Irene Baucells; Marc Pàmies; Yishi Xu; Aitor Gonzalez-Agirre; Marta Villegas (LREC/COLING, 2024)

Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models. - Xinyang Liu; Dongsheng Wang 003; Bowei Fang; Miaoge Li; Yishi Xu; Zhibin Duan; Bo Chen 001; Mingyuan Zhou (UAI, 2024)

keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM. - Chaojie Wang 001; Yishi Xu; Zhong Peng; Chenxi Zhang; Bo Chen 001; Xinrun Wang; Lei Feng 006; Bo An 001 (CoRR, 2024)

Bilingual Adaptation of Monolingual Foundation Models. - 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; et al. (CoRR, 2024)

Recent Advances in Attack and Defense Approaches of Large Language Models. - Jing Cui; Yishi Xu; Zhewei Huang; Shuchang Zhou 001; Jianbin Jiao; Junge Zhang (CoRR, 2024)

IfCMD: A Novel Method for Radar Target Detection under Complex Clutter Backgrounds. - Chenxi Zhang; Yishi Xu; Wenchao Chen; Bo Chen 001; Chang Gao 004; Hongwei Liu 001 (Remote. Sens., 2024)

Duplex: Dual Prototype Learning for Compositional Zero-Shot Learning. - Zhong Peng; Yishi Xu; Gerong Wang; Wenchao Chen; Bo Chen; Jing Zhang (CoRR, 2025)