Stochastic stability and performance analysis of Cubature Kalman Filter. - Bo Xu; Peng Zhang 032; Hongzhi Wen; Xu Wu (Neurocomputing, 2016)

Graph Neural Networks for Multimodal Single-Cell Data Integration. - Hongzhi Wen; Jiayuan Ding; Wei Jin 009; Yiqi Wang 001; Yuying Xie 001; Jiliang Tang (KDD, 2022)

Graph Neural Networks for Multimodal Single-Cell Data Integration. - Hongzhi Wen; Jiayuan Ding; Wei Jin 009; Yuying Xie 001; Jiliang Tang (CoRR, 2022)

Single-Cell Multimodal Prediction via Transformers. - Wenzhuo Tang; Hongzhi Wen; Renming Liu; Jiayuan Ding; Wei Jin 009; Yuying Xie 001; Hui Liu 031; Jiliang Tang (CIKM, 2023)

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. - Wei Jin 009; Haitao Mao; Zheng Li 018; Haoming Jiang; Chen Luo 003; Hongzhi Wen; Haoyu Han 001; Hanqing Lu; Zhengyang Wang; Ruirui Li 002; Zhen Li; Monica Xiao Cheng; et al. (NeurIPS, 2023)

Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation. - Hongzhi Wen; Wenzhuo Tang; Wei Jin 009; Jiayuan Ding; Renming Liu; Feng Shi; Yuying Xie 001; Jiliang Tang (CoRR, 2023)

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs. - Zhikai Chen; Haitao Mao; Hang Li 007; Wei Jin 009; Hongzhi Wen; Xiaochi Wei; Shuaiqiang Wang; Dawei Yin; Wenqi Fan; Hui Liu 031; Jiliang Tang (SIGKDD Explor., 2023)

Content Knowledge Identification with Multi-agent Large Language Models (LLMs). - Kaiqi Yang 001; Yucheng Chu; Taylor Darwin; Ahreum Han; Hang Li 007; Hongzhi Wen; Yasemin Copur-Gencturk; Jiliang Tang; Hui Liu 031 (AIED (2), 2024)

Are Large Language Models (LLMs) Good Social Predictors? - Kaiqi Yang 001; Hang Li 007; Hongzhi Wen; Tai-Quan Peng; Jiliang Tang; Hui Liu 031 (EMNLP (Findings), 2024)

Label-free Node Classification on Graphs with Large Language Models (LLMs). - Zhikai Chen; Haitao Mao; Hongzhi Wen; Haoyu Han 001; Wei Jin 009; Haiyang Zhang; Hui Liu 031; Jiliang Tang (ICLR, 2024)

CellPLM: Pre-training of Cell Language Model Beyond Single Cells. - Hongzhi Wen; Wenzhuo Tang; Xinnan Dai; Jiayuan Ding; Wei Jin 009; Yuying Xie 001; Jiliang Tang (ICLR, 2024)

Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective. - Kai Guo 003; Hongzhi Wen; Wei Jin 009; Yaming Guo; Jiliang Tang; Yi Chang 001 (KDD, 2024)

IterAlign: Iterative Constitutional Alignment of Large Language Models. - Xiusi Chen; Hongzhi Wen; Sreyashi Nag; Chen Luo 003; Qingyu Yin; Ruirui Li 002; Zheng Li 018; Wei Wang 010 (NAACL-HLT, 2024)

Copyright Protection in Generative AI: A Technical Perspective. - Jie Ren 019; Han Xu 002; Pengfei He; Yingqian Cui; Shenglai Zeng; Jiankun Zhang; Hongzhi Wen; Jiayuan Ding; Hui Liu 031; Yi Chang 001; Jiliang Tang (CoRR, 2024)

Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness. - Kai Guo 003; Zewen Liu 005; Zhikai Chen; Hongzhi Wen; Wei Jin 009; Jiliang Tang; Yi Chang 001 (CoRR, 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 002; Jiliang Tang; Caihua Shan (CoRR, 2024)

SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology. - Jiayuan Ding; Lingxiao Li; Qiaolin Lu; Julian Venegas; Yixin Wang 003; Lidan Wu; Wei Jin 009; Hongzhi Wen; Renming Liu; Wenzhuo Tang; Xinnan Dai; Zhaoheng Li; et al. (J. Comput. Biol., 2024)

Deep Learning in Single-cell Analysis. - Dylan Molho; Jiayuan Ding; Wenzhuo Tang; Zhaoheng Li; Hongzhi Wen; Yixin Wang 003; Julian Venegas; Wei Jin 009; Renming Liu; Runze Su; Patrick Danaher; Robert Yang; et al. (ACM Trans. Intell. Syst. Technol., 2024)