Yizhen Zheng - RankMe

42 papers A* 10Journal 29Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Vision-Language Foundation Model for Zero-shot Clinical Collaboration and Automated Concept Discovery in Dermatology. CoRR Siyuan Yan, Xieji Li, Dan Mo, Philipp Tschandl, Yiwen Jiang, Zhonghua Wang, Ming Hu, Lie Ju, Cristina Vico-Alonso, Yizhen Zheng, Jiahe Liu, Juexiao Zhou, Camilla Chello, Jen G. Cheung, Julien Anriot, Luc Thomas, Clare Primiero, Gin Tan, Aik Beng Ng, Simon See, Xiaoying Tang, Albert Ip, Xiaoyang Liao, Adrian Bowling, Martin Haskett, Shuang Zhao, Monika Janda, H. Peter Soyer, Victoria Mar, Harald Kittler, Zongyuan Ge
2025	J	`jnl`	A Label-Free Heterophily-Guided Approach for Unsupervised Graph Fraud Detection. CoRR Junjun Pan, Yixin Liu, Xin Zheng, Yizhen Zheng, Alan Wee-Chung Liew, Fuyi Li, Shirui Pan
2025	A*	`conf`	A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection. AAAI Junjun Pan, Yixin Liu, Xin Zheng, Yizhen Zheng, Alan Wee-Chung Liew, Fuyi Li, Shirui Pan
2025	J	`jnl`	A Novel Differential Feature Learning for Effective Hallucination Detection and Classification. CoRR Wenkai Wang, Vincent Lee, Yizhen Zheng
2025	J	`jnl`	Collaborative Expert LLMs Guided Multi-Objective Molecular Optimization. CoRR Jiajun Yu, Yizhen Zheng, Huan Yee Koh, Shirui Pan, Tianyue Wang, Haishuai Wang
2025	J	`jnl`	Large language models for drug discovery and development. Patterns Yizhen Zheng, Huan Yee Koh, Jiaxin Ju, Madeleine Yang, Lauren T. May, Geoffrey I. Webb, Li Li, Shirui Pan, George Church
2025	J	`jnl`	Large language models for scientific discovery in molecular property prediction. Nat. Mac. Intell. Yizhen Zheng, Huan Yee Koh, Jiaxin Ju, Anh T. N. Nguyen, Lauren T. May, Geoffrey I. Webb, Shirui Pan
2025	J	`jnl`	M CoRR Jiaxin Ju, Yizhen Zheng, Huan Yee Koh, Can Wang, Shirui Pan
2025	A*	`conf`	M^2LLM: Multi-view Molecular Representation Learning with Large Language Models. IJCAI Jiaxin Ju, Yizhen Zheng, Huan Yee Koh, Can Wang, Shirui Pan
2025	J	`jnl`	ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models. CoRR Zhuo Chen, Yizhen Zheng, Huan Yee Koh, Hongxin Xiang, Linjiang Chen, Wenjie Du, Yang Wang
2025	J	`jnl`	Planning scheme of artificial assembly posture and arm movement path in narrow space. Eng. Appl. Artif. Intell. Yizhen Zheng, Yuefeng Li, Xudong Pan, Fanwei Meng, Changyu Chen
2025	—	`conf`	SpecG: A Spectral-Based Framework for Effective Graph Pretraining and Knowledge Transfer. PAKDD (2) Zizhe Jin, Yizhen Zheng, Linhao Luo, Yixin Liu, Xin Zheng, Xuefei Yin, Vincent Lee, Shirui Pan
2025	—	`conf`	Uni-MRL: Unified MultiModal Molecular Representation Learning with Large Language Models and Graph Neural Networks. PAKDD (5) Jiaxin Ju, Yizhen Zheng, Huan Yee Koh, Shirui Pan
2024	J	`jnl`	A new attention-based deep metric model for crop type mapping in complex agricultural landscapes using multisource remote sensing data. Int. J. Appl. Earth Obs. Geoinformation Yizhen Zheng, Wen Dong, Zhiping Yang, Yihang Lu, Xin Zhang, Yanni Dong, Fengqing Sun
2024	J	`jnl`	Breaking the curse of dimensional collapse in graph contrastive learning: A whitening perspective. Inf. Sci. Yang Tao, Kai Guo, Yizhen Zheng, Shirui Pan, Xiaofeng Cao, Yi Chang
2024	J	`jnl`	Contrastive Graph Similarity Networks. ACM Trans. Web Luzhi Wang, Yizhen Zheng, Di Jin, Fuyi Li, Yongliang Qiao, Shirui Pan
2024	J	`jnl`	Improving Augmentation Consistency for Graph Contrastive Learning. Pattern Recognit. Weixin Bu, Xiaofeng Cao, Yizhen Zheng, Shirui Pan
2024	J	`jnl`	Integrating Graphs With Large Language Models: Methods and Prospects. IEEE Intell. Syst. Shirui Pan, Yizhen Zheng, Yixin Liu
2024	J	`jnl`	Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials. CoRR Yizhen Zheng, Huan Yee Koh, Maddie Yang, Li Li, Lauren T. May, Geoffrey I. Webb, Shirui Pan, George Church
2024	J	`jnl`	Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming. IEEE Trans. Neural Networks Learn. Syst. Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li
2023	J	`jnl`	A Survey on Fairness-aware Recommender Systems. CoRR Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan
2023	J	`jnl`	A survey on fairness-aware recommender systems. Inf. Fusion Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan
2023	A*	`conf`	Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. AAAI Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan
2023	A*	`conf`	Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. WWW Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan
2023	J	`jnl`	Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. CoRR Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan
2023	A*	`conf`	Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs. ICML Yizhen Zheng, He Zhang, Vincent Cheng-Siong Lee, Yu Zheng, Xiao Wang, Shirui Pan
2023	J	`jnl`	Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs. CoRR Yizhen Zheng, He Zhang, Vincent C. S. Lee, Yu Zheng, Xiao Wang, Shirui Pan
2023	J	`jnl`	Integrating Graphs with Large Language Models: Methods and Prospects. CoRR Shirui Pan, Yizhen Zheng, Yixin Liu
2023	J	`jnl`	Large Language Models for Scientific Synthesis, Inference and Explanation. CoRR Yizhen Zheng, Huan Yee Koh, Jiaxin Ju, Anh T. N. Nguyen, Lauren T. May, Geoffrey I. Webb, Shirui Pan
2023	A*	`conf`	PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection. ICDM Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan
2023	J	`jnl`	PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection. CoRR Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan
2022	J	`jnl`	Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. CoRR Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan
2022	A*	`conf`	CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning. IJCAI Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan
2022	J	`jnl`	CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning. CoRR Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan
2022	A*	`conf`	Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination. NeurIPS Yizhen Zheng, Shirui Pan, Vincent C. S. Lee, Yu Zheng, Philip S. Yu
2022	J	`jnl`	Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination. CoRR Yizhen Zheng, Shirui Pan, Vincent C. S. Lee, Yu Zheng, Philip S. Yu
2022	A*	`conf`	Unifying Graph Contrastive Learning with Flexible Contextual Scopes. ICDM Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan
2022	J	`jnl`	Unifying Graph Contrastive Learning with Flexible Contextual Scopes. CoRR Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan
2021	—	`conf`	Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction. PAKDD (1) Yizhen Zheng, Vincent C. S. Lee, Zonghan Wu, Shirui Pan
2021	A*	`conf`	Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. IJCAI Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan
2021	J	`jnl`	Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. CoRR Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan
2021	J	`jnl`	Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming. CoRR Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li