Hongzhi Wen

According to our database, Hongzhi Wen authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep Learning in Single-cell Analysis.

Dylan Molho, Jiayuan Ding, Wenzhuo Tang, Zhaoheng Li, Hongzhi Wen, Yixin Wang, Julian Venegas, Wei Jin, Renming Liu, Runze Su, Patrick Danaher, Robert Yang, Yu Leo Lei, Yuying Xie, Jiliang Tang

ACM Trans. Intell. Syst. Technol., June, 2024

Revisiting the Graph Reasoning Ability of Large Language Models: Case Studies in Translation, Connectivity and Shortest Path.

Xinnan Dai, Qihao Wen, Yifei Shen, Hongzhi Wen, Dongsheng Li, Jiliang Tang, Caihua Shan

CoRR, 2024

Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness.

Kai Guo, Zewen Liu, Zhikai Chen, Hongzhi Wen, Wei Jin, Jiliang Tang, Yi Chang

CoRR, 2024

Are Large Language Models (LLMs) Good Social Predictors?

Kaiqi Yang, Hang Li, Hongzhi Wen, Tai-Quan Peng, Jiliang Tang, Hui Liu

CoRR, 2024

Copyright Protection in Generative AI: A Technical Perspective.

Jie Ren, Han Xu, Pengfei He, Yingqian Cui, Shenglai Zeng, Jiankun Zhang, Hongzhi Wen, Jiayuan Ding, Hui Liu, Yi Chang, Jiliang Tang

CoRR, 2024

IterAlign: Iterative Constitutional Alignment of Large Language Models.

Xiusi Chen, Hongzhi Wen, Sreyashi Nag, Chen Luo, Qingyu Yin, Ruirui Li, Zheng Li, Wei Wang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective.

Kai Guo, Hongzhi Wen, Wei Jin, Yaming Guo, Jiliang Tang, Yi Chang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CellPLM: Pre-training of Cell Language Model Beyond Single Cells.

Hongzhi Wen, Wenzhuo Tang, Xinnan Dai, Jiayuan Ding, Wei Jin, Yuying Xie, Jiliang Tang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Label-free Node Classification on Graphs with Large Language Models (LLMs).

Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Content Knowledge Identification with Multi-agent Large Language Models (LLMs).

Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

2023

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs.

Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang

SIGKDD Explor., December, 2023

Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation.

Hongzhi Wen, Wenzhuo Tang, Wei Jin, Jiayuan Ding, Renming Liu, Feng Shi, Yuying Xie, Jiliang Tang

CoRR, 2023

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.

Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Single-Cell Multimodal Prediction via Transformers.

Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Graph Neural Networks for Multimodal Single-Cell Data Integration.

Hongzhi Wen, Jiayuan Ding, Wei Jin, Yuying Xie, Jiliang Tang

CoRR, 2022

Graph Neural Networks for Multimodal Single-Cell Data Integration.

Hongzhi Wen, Jiayuan Ding, Wei Jin, Yiqi Wang, Yuying Xie, Jiliang Tang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2016

Stochastic stability and performance analysis of Cubature Kalman Filter.

Bo Xu, Peng Zhang, Hongzhi Wen, Xu Wu

Neurocomputing, 2016