Preprint

[1] 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

[2] Hang Li, Tianlong Xu, Kaiqi Yang, Yucheng Chu, Yanling Chen, Yichi Song, Qingsong Wen, Hui Liu
     Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions
     preprint, 2024

[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] Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang
     Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data
     preprint, 2024

[6] Pengfei He, Zitao Li, Yue Xing, Yaling Li, Jiliang Tang, Bolin Ding
     Make LLMs Better Zero-Shot Reasoners: Structure-Oriented Autonomous Reasoning
     preprint, 2024

[7] 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

[8] 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

[9] 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

[10] Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang
      Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data
      preprint, 2024

[11] Harry Shomer, Jay Revolinsky, Jiliang Tang
      Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion
      preprint, 2024

[12] Jay Revolinsky*, Harry Shomer*, Jiliang Tang
      Understanding the Generalizability of Link Predictors Under Distribution Shifts on Graphs
      preprint, 2024

[13] 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

[14] 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

[15] 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

[16] 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

[17] Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Lingjuan Lyu, Wenqi Fan, Hui Liu, Jiliang Tang
      FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models
      preprint, 2023

[18] Han Xu, Menghai Pan, Zhimeng Jiang, Huiyuan Chen, Xiaoting Li, Mahashweta Das, Hao Yang
      Towards Generating Adversarial Examples on Mixed-type Data
      preprint, 2022

[19] Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing Li
      A Comprehensive Survey on Trustworthy Recommender Systems
      preprint, 2022

[20] Yaxin Li, Xiaorui Liu, Han Xu, Wentao Wang, Jiliang Tang
      Enhancing Adversarial Training with Feature Separability
      preprint, 2022