Li Li

According to our database, Li Li authored at least 29 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PME: pruning-based multi-size embedding for recommender systems.

Zirui Liu, Qingquan Song, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu

Frontiers Big Data, 2024

LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario.

Hongyi Liu, Zirui Liu, Ruixiang Tang, Jiayi Yuan, Shaochen Zhong, Yu-Neng Chuang, Li Li, Rui Chen, Xia Hu

CoRR, 2024

2023

DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification.

Zirui Liu, Kaixiong Zhou, Zhimeng Jiang, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu

Trans. Mach. Learn. Res., 2023

Editable Graph Neural Network for Node Classifications.

Zirui Liu, Zhimeng Jiang, Shaochen Zhong, Kaixiong Zhou, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu

CoRR, 2023

Denoising and Prompt-Tuning for Multi-Behavior Recommendation.

Chi Zhang, Rui Chen, Xiangyu Zhao, Qilong Han, Li Li

Proceedings of the ACM Web Conference 2023, 2023

Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection.

Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking.

Qiaoyu Tan, Ninghao Liu, Xiao Huang, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Adaptive Label Smoothing To Regularize Large-Scale Graph Training.

Kaixiong Zhou, Soo-Hyun Choi, Zirui Liu, Ninghao Liu, Fan Yang, Rui Chen, Li Li, Xia Hu

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Proxy-Aware Cross-Domain Sequential Recommendation.

Shitong Xiao, Rui Chen, Qilong Han, Riwei Lai, Hongtao Song, Li Li

Proceedings of the International Joint Conference on Neural Networks, 2023

HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation.

Rui Chen, Guotao Liang, Chenrui Ma, Qilong Han, Li Li, Xiao Huang

Proceedings of the International Joint Conference on Neural Networks, 2023

Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation.

Qiaoyu Tan, Daochen Zha, Ninghao Liu, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Multiple Neighbor Relation Enhanced Graph Collaborative Filtering.

Riwei Lai, Shitong Xiao, Rui Chen, Li Chen, Qilong Han, Li Li

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022

Multi-Faceted Global Item Relation Learning for Session-Based Recommendation.

Qilong Han, Chi Zhang, Rui Chen, Riwei Lai, Hongtao Song, Li Li

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Table2Graph: Transforming Tabular Data to Unified Weighted Graph.

Kaixiong Zhou, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression.

Zirui Liu, Kaixiong Zhou, Fan Yang, Li Li, Rui Chen, Xia Hu

Proceedings of the Tenth International Conference on Learning Representations, 2022

An Information Fusion Approach to Learning with Instance-Dependent Label Noise.

Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Hierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation.

Chi Zhang, Yantong Du, Xiangyu Zhao, Qilong Han, Rui Chen, Li Li

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Time Interval Aware Collaborative Sequential Recommendation with Self-supervised Learning.

Chenrui Ma, Li Li, Rui Chen, Xi Li, Yichen Wang

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

Dirichlet Energy Constrained Learning for Deep Graph Neural Networks.

Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation.

Yanan Wang, Yong Ge, Li Li, Rui Chen, Tong Xu

CoRR, 2020

Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning.

Xi Liu, Li Li, Ping-Chun Hsieh, Muhe Xie, Yong Ge, Rui Chen

CoRR, 2020

Explainable Recommender Systems via Resolving Learning Representations.

Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Extending Proportional Fair Scheduling to Buffer-Aided Relay Access Networks.

Guangyi Liu, Li Li, Leonard J. Cimini Jr., Chien-Chung Shen

IEEE Trans. Veh. Technol., 2019

Multi-Carrier LAA with Adaptive Energy Detection and Carrier Selection.

Li Li, Seyedmohammad Salehi, Chien-Chung Shen, Leonard J. Cimini Jr., John Graybeal

Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding.

Xianshan Qu, Li Li, Xi Liu, Rui Chen, Yong Ge, Soo-Hyun Choi

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Traffic Differentiation in Dense WLANs with CSMA/ECA-DR MAC Protocol.

Seyedmohammad Salehi, Li Li, Chien-Chung Shen, Leonard J. Cimini Jr., John Graybeal

Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

2017

Coexistence of Wi-Fi and LAA Networks With Adaptive Energy Detection.

Li Li, James P. Seymour, Leonard J. Cimini Jr., Chien-Chung Shen

IEEE Trans. Veh. Technol., 2017

2015

Impact of direct link on outage of cooperative full-duplex relaying.

Li Li, Leonard J. Cimini Jr., Xiang-Gen Xia

Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015

2014

Spectral efficiency of cooperative full-duplex relaying with imperfect channel estimation.

Li Li, Leonard J. Cimini Jr., Yao Xiao

Proceedings of the IEEE Global Communications Conference, 2014