Yanqiao Zhu - RankMe

82 papers A* 16A 5B 2Journal 52Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning. CoRR Xiaoxuan Wang, Han Zhang, Haixin Wang, Yidan Shi, Ruoyan Li, Kaiqiao Han, Chenyi Tong, Haoran Deng, Renliang Sun, Alexander Taylor, Yanqiao Zhu, Jason Cong, Yizhou Sun, Wei Wang
2025	A*	`conf`	Efficient Evolutionary Search Over Chemical Space with Large Language Models. ICLR Haorui Wang, Marta Skreta, Cher Tian Ser, Wenhao Gao, Lingkai Kong, Felix Strieth-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Yuanqi Du, Alán Aspuru-Guzik, Kirill Neklyudov, Chao Zhang
2025	J	`jnl`	Large Language Models Are Innate Crystal Structure Generators. CoRR Jingru Gan, Peichen Zhong, Yuanqi Du, Yanqiao Zhu, Chenru Duan, Haorui Wang, Carla P. Gomes, Kristin A. Persson, Daniel Schwalbe-Koda, Wei Wang
2025	J	`jnl`	MatSciBench: Benchmarking the Reasoning Ability of Large Language Models in Materials Science. CoRR Junkai Zhang, Jingru Gan, Xiaoxuan Wang, Zian Jia, Changquan Gu, Jianpeng Chen, Yanqiao Zhu, Mingyu Derek Ma, Dawei Zhou, Ling Li, Wei Wang
2024	J	`jnl`	An Evaluation of Large Language Models in Bioinformatics Research. CoRR Hengchuang Yin, Zhonghui Gu, Fanhao Wang, Yiparemu Abuduhaibaier, Yanqiao Zhu, Xinming Tu, Xian-Sheng Hua, Xiao Luo, Yizhou Sun
2024	A*	`conf`	BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. EMNLP Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May Dongmei Wang, Joyce C. Ho, Chao Zhang, Carl Yang
2024	J	`jnl`	BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. CoRR Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May D. Wang, Joyce C. Ho, Chao Zhang, Carl Yang
2024	J	`jnl`	Bi-Level Graph Structure Learning for Next POI Recommendation. CoRR Liang Wang, Shu Wu, Qiang Liu, Yanqiao Zhu, Xiang Tao, Mengdi Zhang, Liang Wang
2024	J	`jnl`	Bi-Level Graph Structure Learning for Next POI Recommendation. IEEE Trans. Knowl. Data Eng. Liang Wang, Shu Wu, Qiang Liu, Yanqiao Zhu, Xiang Tao, Mengdi Zhang, Liang Wang
2024	J	`jnl`	Efficient Evolutionary Search Over Chemical Space with Large Language Models. CoRR Haorui Wang, Marta Skreta, Cher Tian Ser, Wenhao Gao, Lingkai Kong, Felix Streith-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Yuanqi Du, Alán Aspuru-Guzik, Kirill Neklyudov, Chao Zhang
2024	A*	`conf`	Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks. ICLR Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor W. Coley, Yizhou Sun, Wei Wang
2024	J	`jnl`	MIRAI: Evaluating LLM Agents for Event Forecasting. CoRR Chenchen Ye, Ziniu Hu, Yihe Deng, Zijie Huang, Mingyu Derek Ma, Yanqiao Zhu, Wei Wang
2024	J	`jnl`	Molecular Contrastive Pretraining with Collaborative Featurizations. J. Chem. Inf. Model. Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang, Qiang Liu, Shu Wu
2024	A*	`conf`	SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. ICML Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang
2023	A*	`conf`	A Systematic Survey of Chemical Pre-trained Models. IJCAI Jun Xia, Yanqiao Zhu, Yuanqi Du, Stan Z. Li
2023	A	`conf`	AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange. CIKM Liang Zeng, Jin Xu, Zijun Yao, Yanqiao Zhu, Jian Li
2023	J	`jnl`	BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks. IEEE Trans. Medical Imaging Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
2023	A*	`conf`	Code Recommendation for Open Source Software Developers. WWW Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun, Wei Wang
2023	—	`conf`	Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis. ISBI Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
2023	A*	`conf`	GSLB: The Graph Structure Learning Benchmark. NeurIPS Zhixun Li, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu
2023	J	`jnl`	GSLB: The Graph Structure Learning Benchmark. CoRR Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu
2023	J	`jnl`	Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation. IEEE Trans. Knowl. Data Eng. Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang
2023	J	`jnl`	Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks. CoRR Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor W. Coley, Yizhou Sun, Wei Wang
2023	A*	`conf`	M NeurIPS Yuanqi Du, Yingheng Wang, Yining Huang, Jianan Canal Li, Yanqiao Zhu, Tian Xie, Chenru Duan, John M. Gregoire, Carla Pedro Gomes
2023	J	`jnl`	M CoRR Yuanqi Du, Yingheng Wang, Yining Huang, Jianan Canal Li, Yanqiao Zhu, Tian Xie, Chenru Duan, John M. Gregoire, Carla P. Gomes
2023	A*	`conf`	Neighborhood-Regularized Self-Training for Learning with Few Labels. AAAI Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang
2023	J	`jnl`	Neighborhood-Regularized Self-Training for Learning with Few Labels. CoRR Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang
2023	J	`jnl`	SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. CoRR Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang
2023	—	`conf`	The Second Learning on Graphs Conference: Preface. LoG Soledad Villar, Benjamin Paul Chamberlain, Yuanqi Du, Hannes Stärk, Chaitanya K. Joshi, Andreea Deac, Iulia Duta, Joshua Robinson, Yanqiao Zhu, Kexin Huang, Michelle M. Li, Sofia Bourhim, Ilia Igashov, Alexandre Duval, Mathieu Alain, Dominique Beaini, Xinyu Yuan
2023	A*	`conf`	Uncovering Neural Scaling Laws in Molecular Representation Learning. NeurIPS Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang
2023	J	`jnl`	Uncovering Neural Scaling Laws in Molecular Representation Learning. CoRR Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang
2023	J	`jnl`	Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining. ACM Trans. Intell. Syst. Technol. Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu
2022	J	`jnl`	A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications. CoRR Jun Xia, Yanqiao Zhu, Yuanqi Du, Stan Z. Li
2022	—	`conf`	A Survey on Deep Graph Generation: Methods and Applications. LoG Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu
2022	J	`jnl`	A Survey on Deep Graph Generation: Methods and Applications. CoRR Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu
2022	J	`jnl`	A Survey on Pretrained Language Models for Neural Code Intelligence. CoRR Yichen Xu, Yanqiao Zhu
2022	J	`jnl`	A Systematic Survey of Molecular Pre-trained Models. CoRR Jun Xia, Yanqiao Zhu, Yuanqi Du, Yue Liu, Stan Z. Li
2022	B	`conf`	BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract). IEEE Big Data Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
2022	J	`jnl`	BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks. CoRR Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
2022	J	`jnl`	Code Recommendation for Open Source Software Developers. CoRR Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun, Wei Wang
2022	A*	`conf`	Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning. KDD Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang
2022	J	`jnl`	Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning. CoRR Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang
2022	A	`conf`	Deep Contrastive Multiview Network Embedding. CIKM Mengqi Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang
2022	J	`jnl`	Improving Molecular Pretraining with Complementary Featurizations. CoRR Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang, Qiang Liu, Shu Wu
2022	—	`conf`	Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. MICCAI (8) Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang
2022	J	`jnl`	Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. CoRR Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang
2022	—	`conf`	Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis. EMBC Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang
2022	B	`conf`	Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract). IEEE Big Data Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
2022	J	`jnl`	Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks. CoRR Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
2022	A	`conf`	Structure-Enhanced Heterogeneous Graph Contrastive Learning. SDM Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu
2022	—	`conf`	The First Learning on Graphs Conference: Preface. LoG Bastian Rieck, Razvan Pascanu, Yuanqi Du, Hannes Stärk, Derek Lim, Chaitanya K. Joshi, Andreea Deac, Iulia Duta, Joshua Robinson, Gabriele Corso, Leonardo Cotta, Yanqiao Zhu, Kexin Huang, Michelle M. Li, Sofia Bourhim, Ilia Igashov
2021	—	`conf`	An Empirical Study of Graph Contrastive Learning. NeurIPS Datasets and Benchmarks Yanqiao Zhu, Yichen Xu, Qiang Liu, Shu Wu
2021	J	`jnl`	An Empirical Study of Graph Contrastive Learning. CoRR Yanqiao Zhu, Yichen Xu, Qiang Liu, Shu Wu
2021	J	`jnl`	BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis. CoRR Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang
2021	A	`conf`	Deep Active Learning for Text Classification with Diverse Interpretations. CIKM Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu
2021	J	`jnl`	Deep Active Learning for Text Classification with Diverse Interpretations. CoRR Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu
2021	J	`jnl`	Deep Contrastive Learning for Multi-View Network Embedding. CoRR Mengqi Zhang, Yanqiao Zhu, Shu Wu, Liang Wang
2021	J	`jnl`	Deep Graph Structure Learning for Robust Representations: A Survey. CoRR Yanqiao Zhu, Weizhi Xu, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang
2021	A	`conf`	Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction. CIKM Yichen Xu, Yanqiao Zhu, Feng Yu, Qiang Liu, Shu Wu
2021	J	`jnl`	Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction. CoRR Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang
2021	A*	`conf`	Graph Contrastive Learning with Adaptive Augmentation. WWW Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang
2021	J	`jnl`	Graph Symbiosis Learning. CoRR Liang Zeng, Jin Xu, Zijun Yao, Yanqiao Zhu, Jian Li
2021	J	`jnl`	GraphAIR: Graph representation learning with neighborhood aggregation and interaction. Pattern Recognit. Fenyu Hu, Yanqiao Zhu, Shu Wu, Weiran Huang, Liang Wang, Tieniu Tan
2021	J	`jnl`	Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis. CoRR Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang
2021	J	`jnl`	Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation. CoRR Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang
2021	A*	`conf`	Mining Latent Structures for Multimedia Recommendation. ACM Multimedia Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang
2021	J	`jnl`	Mining Latent Structures for Multimedia Recommendation. CoRR Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang
2021	J	`jnl`	Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning. CoRR Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu
2020	J	`jnl`	CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning. CoRR Yanqiao Zhu, Yichen Xu, Feng Yu, Shu Wu, Liang Wang
2020	J	`jnl`	Deep Active Graph Representation Learning. CoRR Yanqiao Zhu, Weizhi Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang
2020	J	`jnl`	Deep Graph Contrastive Representation Learning. CoRR Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang
2020	J	`jnl`	Graph Contrastive Learning with Adaptive Augmentation. CoRR Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang
2020	A*	`conf`	TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation. SIGIR Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan
2020	J	`jnl`	TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation. CoRR Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan
2019	J	`jnl`	GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction. CoRR Fenyu Hu, Yanqiao Zhu, Shu Wu, Weiran Huang, Liang Wang, Tieniu Tan
2019	A*	`conf`	Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification. IJCAI Fenyu Hu, Yanqiao Zhu, Shu Wu, Liang Wang, Tieniu Tan
2019	J	`jnl`	Semi-supervised Node Classification via Hierarchical Graph Convolutional Networks. CoRR Fenyu Hu, Yanqiao Zhu, Shu Wu, Liang Wang, Tieniu Tan
2019	A*	`conf`	Session-Based Recommendation with Graph Neural Networks. AAAI Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan
2019	J	`jnl`	Tripartite Active Learning for Interactive Anomaly Discovery. IEEE Access Yanqiao Zhu, Kai Yang
2018	J	`jnl`	Active Learning for Wireless IoT Intrusion Detection. CoRR Kai Yang, Jie Ren, Yanqiao Zhu, Weiyi Zhang
2018	J	`jnl`	Active Learning for Wireless IoT Intrusion Detection. IEEE Wirel. Commun. Kai Yang, Jie Ren, Yanqiao Zhu, Weiyi Zhang
2018	J	`jnl`	Session-based Recommendation with Graph Neural Networks. CoRR Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan