Yanqiao Zhu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
14
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | SLAM-Omni: Timbre-Controllable Voice Interaction System with Single-Stage Training. | Wenxi Chen, Ziyang Ma, Ruiqi Yan, Yuzhe Liang, Xiquan Li, Ruiyang Xu, Zhikang Niu, Yanqiao Zhu, Yifan Yang, Zhanxun Liu, Kai Yu, Yuxuan Hu, Jinyu Li, Yan Lu, Shujie Liu, Xie Chen |
| 2025 | ICANN | MRT-NAS: Boosting Training-Free NAS via Manifold Regularization. | Pengjun Chen, Yanqiao Zhu, Jian Gao, Haidong Kang, Lianbo Ma |
| 2025 | ICLR | Efficient Evolutionary Search Over Chemical Space with Large Language Models. | Haorui Wang, Marta Skreta, Cher Tian Ser, Wenhao Gao, Lingkai Kong, Felix Strieth-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Yuanqi Du, Aln Aspuru-Guzik, Kirill Neklyudov, Chao Zhang |
| 2024 | EMNLP | BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. | Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May Dongmei Wang, Joyce C. Ho, Chao Zhang, Carl Yang |
| 2024 | ICLR | Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks. | 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 | ICML | SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. | Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang |
| 2023 | AAAI | Neighborhood-Regularized Self-Training for Learning with Few Labels. | Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang |
| 2023 | CIKM | AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange. | Liang Zeng, Jin Xu, Zijun Yao, Yanqiao Zhu, Jian Li |
| 2023 | IJCAI | A Systematic Survey of Chemical Pre-trained Models. | Jun Xia, Yanqiao Zhu, Yuanqi Du, Stan Z. Li |
| 2023 | WWW | Code Recommendation for Open Source Software Developers. | Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun, Wei Wang |
| 2022 | CIKM | Deep Contrastive Multiview Network Embedding. | Mengqi Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang |
| 2022 | KDD | Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning. | Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang |
| 2022 | MICCAI | Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. | Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang |
| 2022 | SDM | Structure-Enhanced Heterogeneous Graph Contrastive Learning. | Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu |
| 2021 | CIKM | Deep Active Learning for Text Classification with Diverse Interpretations. | Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu |
| 2021 | CIKM | Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction. | Yichen Xu, Yanqiao Zhu, Feng Yu, Qiang Liu, Shu Wu |
| 2021 | WWW | Graph Contrastive Learning with Adaptive Augmentation. | Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang |
| 2020 | SIGIR | TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation. | Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan |
| 2019 | AAAI | Session-Based Recommendation with Graph Neural Networks. | Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan |
| 2019 | IJCAI | Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification. | Fenyu Hu, Yanqiao Zhu, Shu Wu, Liang Wang, Tieniu Tan |
| 2013 | ISNN | A Novel Geodesic Distance Based Clustering Approach to Delineating Boundaries of Touching Cells. | Xu Chen, Yanqiao Zhu, Fuhai Li, Zeyi Zheng, Eric Chang, Jinwen Ma, Stephen T. C. Wong |