Preprint

[1] Xinnan Dai*, Kai Yang*, Jay Revolinsky, Kai Guo, Aoran Wang, Bohang Zhang, Jiliang Tang
     From Sequence to Structure: Uncovering Substructure Reasoning in Transformers
     preprint, 2025

[2] Jiayuan Ding*, Jianhui Lin*, Shiyu Jiang*, Yixin Wang, Ziyang Mao, Zhaoyu Fang, Jiliang Tang, Min Li, Xiaojie Qiu
     Toward a Privacy-Preserving Predictive Foundation Model of Single-Cell Transcriptomics with Federated Learning and Tabular Modeling
     preprint, 2025

[3] Kaiqi Yang, Hang Li, Yucheng Chu, Yuping Lin, Tai-Quan Peng, Hui Liu
     Unpacking Political Bias in Large Language Models: Insights across Topic Polarization
     preprint, 2024

[4] Jie Ren, Yingqian Cui, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu
     EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations
     preprint, 2024

[5] Xinnan Dai, Qihao Wen, Yifei Shen, Hongzhi Wen, Dongsheng Li, Jiliang Tang, Caihua Shan
     Revisiting the Graph Reasoning Ability of Large Language Models: Case Studies in Translation, Connectivity and Shortest Path
     preprint, 2024

[6] Guangliang Liu*, Haitao Mao*, Bochuan Cao, Zhiyu Xue, Kristen Johnson, Jiliang Tang, Rongrong Wang
     On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept
     preprint, 2024

[7] Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li
     Graph Machine Learning in the Era of Large Language Models (LLMs)
     preprint, 2024

[8] Wenzhuo Tang, Haitao Mao, Danial Dervovic, Ivan Brugere, Saumitra Mishra, Yuying Xie, Jiliang Tang
     Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models
     preprint, 2024

[9] Qiaolin Lu*, Jiayuan Ding*, Lingxiao Li, Yi Chang, Jiliang Tang, Xiaojie Qiu
     Graph Contrastive Learning of Subcellular-resolution Spatial Transcriptomics Improves Cell Type Annotation and Reveals Critical Molecular Pathways
     preprint, 2024

[10] Jie Ren, Han Xu, Pengfei He, Yingqian Cui, Shenglai Zeng, Jiankun Zhang, Hongzhi Wen, Jiayuan Ding, Hui Liu, Yi Chang, Jiliang Tang
      Copyright Protection in Generative AI: A Technical Perspective
      preprint, 2024

[11] Wenzhuo Tang*, Renming Liu*, Hongzhi Wen, Xinnan Dai, Jiayuan Ding, Hang Li, Wenqi Fan, Yuying Xie, Jiliang Tang
      A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models
      preprint, 2023