ML Anthology

Tang, Jiliang

76 publications

NeurIPS 2025 A Pre-Training Framework for Relational Data with Information-Theoretic Principles Quang Truong, Zhikai Chen, Mingxuan Ju, Tong Zhao, Neil Shah, Jiliang Tang
LoG 2025 A Pure Transformer Pretraining Framework on Text-Attributed Graphs Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu
AISTATS 2025 A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration Yingqian Cui, Pengfei He, Xianfeng Tang, Qi He, Chen Luo, Jiliang Tang, Yue Xing
ICLR 2025 AutoG: Towards Automatic Graph Construction from Tabular Data Zhikai Chen, Han Xie, Jian Zhang, Xiang Song, Jiliang Tang, Huzefa Rangwala, George Karypis
NeurIPS 2025 Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models Wenzhuo Tang, Haitao Mao, Danial Dervovic, Ivan Brugere, Saumitra Mishra, Yuying Xie, Jiliang Tang
NeurIPS 2025 From Sequence to Structure: Uncovering Substructure Reasoning in Transformers Xinnan Dai, Kai Yang, Jay Revolinsky, Kai Guo, Aoran Wang, Bohang Zhang, Jiliang Tang
TMLR 2025 Graph-Level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi, Hang Li, Jiliang Tang, Marco Cristani
ICLR 2025 How Do Large Language Models Understand Graph Patterns? a Benchmark for Graph Pattern Comprehension Xinnan Dai, Haohao Qu, Yifei Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan
NeurIPS 2025 Memory Injection Attacks on LLM Agents via Query-Only Interaction Shen Dong, Shaochen Xu, Pengfei He, Yige Li, Jiliang Tang, Tianming Liu, Hui Liu, Zhen Xiang
CVPR 2025 Six-CD: Benchmarking Concept Removals for Text-to-Image Diffusion Models Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu
LoG 2025 Sub-Graph Based Diffusion Model for Link Prediction Hang Li, Wei Jin, Geri Skenderi, Harry Shomer, Wenzhuo Tang, Wenqi Fan, Jiliang Tang
AISTATS 2025 Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression Yingqian Cui, Jie Ren, Pengfei He, Hui Liu, Jiliang Tang, Yue Xing
NeurIPS 2025 Tabula: A Tabular Self-Supervised Foundation Model for Single-Cell Transcriptomics Jiayuan Ding, Jianhui Lin, Shiyu Jiang, Yixin Wang, Ziyang Miao, Zhaoyu Fang, Jiliang Tang, Min Li, Xiaojie Qiu
LoG 2025 Towards Neural Scaling Laws on Graphs Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang
ICLR 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
ICML 2024 Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin
ICLR 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
NeurIPS 2024 Mixture of Link Predictors on Graphs Li Ma, Haoyu Han, Juanhui Li, Harry Shomer, Hui Liu, Xiaofeng Gao, Jiliang Tang
ICML 2024 PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming Bingheng Li, Linxin Yang, Yupeng Chen, Senmiao Wang, Haitao Mao, Qian Chen, Yao Ma, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun
ICML 2024 Position: Graph Foundation Models Are Already Here Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang
ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Yang Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao
ICLR 2024 Revisiting Link Prediction: A Data Perspective Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
ICLR 2024 Sharpness-Aware Data Poisoning Attack Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu C. Aggarwal, Jiliang Tang
TMLR 2024 Stealthy Backdoor Attack via Confidence-Driven Sampling Pengfei He, Yue Xing, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou
ICLR 2024 Structural Fairness-Aware Active Learning for Graph Neural Networks Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada
NeurIPS 2024 Text-Space Graph Foundation Models: Comprehensive Benchmarks and New Insights Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang
NeurIPSW 2024 Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study Pengfei He, Yingqian Cui, Han Xu, Hui Liu, Makoto Yamada, Jiliang Tang, Yue Xing
ECCV 2024 Unveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang
ICML 2023 Alternately Optimized Graph Neural Networks Haoyu Han, Xiaorui Liu, Haitao Mao, Mohamadali Torkamani, Feng Shi, Victor Lee, Jiliang Tang
NeurIPS 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 Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
NeurIPS 2023 Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
ICLR 2023 Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah
NeurIPS 2023 Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
NeurIPSW 2023 Exploring the Potential of Large Language Models (LLMs) in Learning on Graph Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang
IJCAI 2023 Generative Diffusion Models on Graphs: Methods and Applications Chengyi Liu, Wenqi Fan, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li
ICML 2023 Probabilistic Categorical Adversarial Attack and Adversarial Training Han Xu, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu, Hui Liu, Jiliang Tang
NeurIPS 2023 Towards Label Position Bias in Graph Neural Networks Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu Aggarwal, Jiliang Tang
ICLR 2023 Transferable Unlearnable Examples Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang
NeurIPS 2023 XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information Zitao Liu, Qiongqiong Liu, Teng Guo, Jiahao Chen, Shuyan Huang, Xiangyu Zhao, Jiliang Tang, Weiqi Luo, Jian Weng
NeurIPS 2022 A Large Scale Search Dataset for Unbiased Learning to Rank Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin
ICLR 2022 Automated Self-Supervised Learning for Graphs Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
NeurIPSW 2022 Bi-Channel Masked Graph Autoencoders for Spatially Resolved Single-Cell Transcriptomics Data Imputation Hongzhi Wen, Wei Jin, Jiayuan Ding, Christopher Xu, Yuying Xie, Jiliang Tang
NeurIPSW 2022 Condensing Graphs via One-Step Gradient Matching Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bing Yin
ICLR 2022 Graph Condensation for Graph Neural Networks Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah
NeurIPSW 2022 Graph Neural Networks for Multimodal Single-Cell Data Integration Hongzhi Wen, Jiayuan Ding, Wei Jin, Yiqi Wang, Yuying Xie, Jiliang Tang
ICLR 2022 Is Homophily a Necessity for Graph Neural Networks? Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang
AAAI 2022 Multi-Type Urban Crime Prediction Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang
NeurIPS 2022 pyKT: A Python Library to Benchmark Deep Learning Based Knowledge Tracing Models Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Jiliang Tang, Weiqi Luo
AAAI 2021 DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiwang Yang, Xiaobing Liu, Jiliang Tang, Hui Liu
AAAI 2021 DeepRobust: A Platform for Adversarial Attacks and Defenses Yaxin Li, Wei Jin, Han Xu, Jiliang Tang
ICML 2021 Elastic Graph Neural Networks Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
NeurIPS 2021 Graph Neural Networks with Adaptive Residual Xiaorui Liu, Jiayuan Ding, Wei Jin, Han Xu, Yao Ma, Zitao Liu, Jiliang Tang
ICLR 2021 Linear Convergent Decentralized Optimization with Compression Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan
ICML 2021 To Be Robust or to Be Fair: Towards Fairness in Adversarial Training Han Xu, Xiaorui Liu, Yaxin Li, Anil Jain, Jiliang Tang
AISTATS 2020 A Double Residual Compression Algorithm for Efficient Distributed Learning Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan
AAAI 2020 Graduate Employment Prediction with Bias Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang
AAAI 2020 Learning Multi-Level Dependencies for Robust Word Recognition Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu
ICLR 2020 R-Transformer: Recurrent Neural Network Enhanced Transformer Zhiwei Wang, Yao Ma, Zitao Liu, Jiliang Tang
IJCAI 2019 Deep Adversarial Social Recommendation Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li
WACV 2018 Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network Yilin Wang, Suhang Wang, Guojun Qi, Jiliang Tang, Baoxin Li
AAAI 2017 CLARE: A Joint Approach to Label Classification and Tag Recommendation Yilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li
IJCAI 2017 Reconstruction-Based Unsupervised Feature Selection: An Embedded Approach Jundong Li, Jiliang Tang, Huan Liu
AAAI 2017 Unsupervised Sentiment Analysis with Signed Social Networks Kewei Cheng, Jundong Li, Jiliang Tang, Huan Liu
CVPR 2016 PPP: Joint Pointwise and Pairwise Image Label Prediction Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li
AAAI 2016 Predicting Online Protest Participation of Social Media Users Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu
AAAI 2016 Recommendation with Social Dimensions Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu
IJCAI 2016 Timeline Summarization from Social Media with Life Cycle Models Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu
AAAI 2015 Content-Aware Point of Interest Recommendation on Location-Based Social Networks Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu
AAAI 2015 Embedded Unsupervised Feature Selection Suhang Wang, Jiliang Tang, Huan Liu
IJCAI 2015 Exploring Implicit Hierarchical Structures for Recommender Systems Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu
AAAI 2015 Leveraging Social Foci for Information Seeking in Social Media Suhas Ranganath, Jiliang Tang, Xia Hu, Hari Sundaram, Huan Liu
AAAI 2015 Modeling Status Theory in Trust Prediction Ying Wang, Xin Wang, Jiliang Tang, Wanli Zuo, Guoyong Cai
IJCAI 2015 Unsupervised Sentiment Analysis for Social Media Images Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li
AAAI 2014 Online Social Spammer Detection Xia Hu, Jiliang Tang, Huan Liu
IJCAI 2013 Exploiting Local and Global Social Context for Recommendation Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu
IJCAI 2013 Social Spammer Detection in Microblogging Xia Hu, Jiliang Tang, Yanchao Zhang, Huan Liu