A SVM-Based EEG Signal Analysis: An Auxiliary Therapy for Tinnitus. - Pei-Zhen Li; Juan-Hui Li; Chang-Dong Wang 001 (BICS, 2016)

Community Detection in Complicated Network Based on the Multi-view Weighted Signed Permanence. - Juan-Hui Li; Pei-Zhen Li; Chang-Dong Wang 001; Jian-Huang Lai (Trustcom/BigDataSE/ISPA, 2016)

Discriminative metric learning for multi-view graph partitioning. - Juan-Hui Li; Chang-Dong Wang 001; Pei-Zhen Li; Jian-Huang Lai (Pattern Recognit., 2018)

PartNRL: Partial Nodes Representation Learning in Large-Scale Network. - Juan-Hui Li; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai (IEEE Access, 2019)

Network Embedding via Community Based Variational Autoencoder. - Wei Shi; Ling Huang 002; Chang-Dong Wang 001; Juan-Hui Li; Yong Tang 001; Chengzhou Fu (IEEE Access, 2019)

Graph Pooling with Representativeness. - Juan-Hui Li; Yao Ma 001; Yiqi Wang 001; Charu C. Aggarwal; Chang-Dong Wang 001; Jiliang Tang (ICDM, 2020)

Attributed Network Embedding with Micro-Meso Structure. - Juan-Hui Li; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai; Pei Chen 001 (ACM Trans. Knowl. Discov. Data, 2021)

From Uni-relational to Multi-relational Graph Neural Networks. - Juanhui Li (WSDM, 2022)

Are Graph Neural Networks Really Helpful for Knowledge Graph Completion? - Juan-Hui Li; Harry Shomer; Jiayuan Ding; Yiqi Wang 001; Yao Ma 001; Neil Shah; Jiliang Tang; Dawei Yin (CoRR, 2022)

Learning Representations for Hyper-Relational Knowledge Graphs. - Harry Shomer; Wei Jin 009; Juan-Hui Li; Yao Ma 001; Jiliang Tang (CoRR, 2022)

Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? - Juanhui Li; Harry Shomer; Jiayuan Ding; Yiqi Wang 001; Yao Ma 001; Neil Shah; Jiliang Tang; Dawei Yin (ACL (1), 2023)

Learning Representations for Hyper-Relational Knowledge Graphs. - Harry Shomer; Wei Jin 009; Juanhui Li; Yao Ma 001; Hui Liu 031 (ASONAM, 2023)

Distance-Based Propagation for Efficient Knowledge Graph Reasoning. - Harry Shomer; Yao Ma 001; Juanhui Li; Bo Wu 002; Charu C. Aggarwal; Jiliang Tang (EMNLP, 2023)

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. - Juanhui Li; Harry Shomer; Haitao Mao; Shenglai Zeng; Yao Ma 001; Neil Shah; Jiliang Tang; Dawei Yin (NeurIPS, 2023)

Graph Enhanced BERT for Query Understanding. - Juanhui Li; Wei Zeng 008; Suqi Cheng; Yao Ma 001; Jiliang Tang; Shuaiqiang Wang; Dawei Yin (SIGIR, 2023)

Adaptive Pairwise Encodings for Link Prediction. - Harry Shomer; Yao Ma 001; Haitao Mao; Juanhui Li; Bo Wu 002; Jiliang Tang (CoRR, 2023)

Revisiting Link Prediction: a data perspective. - Haitao Mao; Juanhui Li; Harry Shomer; Bingheng Li; Wenqi Fan; Yao Ma 001; Tong Zhao 003; Neil Shah; Jiliang Tang (ICLR, 2024)

LPFormer: An Adaptive Graph Transformer for Link Prediction. - Harry Shomer; Yao Ma 001; Haitao Mao; Juanhui Li; Bo Wu 002; Jiliang Tang (KDD, 2024)

Mixture of Link Predictors on Graphs. - Li Ma 012; Haoyu Han 001; Juanhui Li; Harry Shomer; Hui Liu 031; Xiaofeng Gao 001; Jiliang Tang (NeurIPS, 2024)

Mixture of Link Predictors. - Li Ma 012; Haoyu Han 001; Juanhui Li; Harry Shomer; Hui Liu 031; Xiaofeng Gao 001; Jiliang Tang (CoRR, 2024)

Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation. - Juanhui Li; Haoyu Han 001; Zhikai Chen; Harry Shomer; Wei Jin 009; Amin Javari; Jiliang Tang (CoRR, 2024)

Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach. - Haoyu Han 001; Juanhui Li; Wei Huang; Xianfeng Tang; Hanqing Lu; Chen Luo 003; Hui Liu 003; Jiliang Tang (CoRR, 2024)

Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data. - Juanhui Li; Sreyashi Nag; Hui Liu 031; Xianfeng Tang; Sheikh Muhammad Sarwar; Limeng Cui; Hansu Gu; Suhang Wang; Qi He 002; Jiliang Tang (NAACL (Findings), 2025)

Comprehensive Vulnerability Analysis is Necessary for Trustworthy LLM-MAS. - Pengfei He; Yue Xing 002; Shen Dong; Juanhui Li; Zhenwei Dai; Xianfeng Tang; Hui Liu 031; Han Xu 002; Zhen Xiang; Charu C. Aggarwal; Hui Liu 031 (CoRR, 2025)