Li Li

Orcid: 0000-0002-3365-8904

Affiliations:
  • Samsung Electronics America, Mountain view, CA, USA
  • University of Delaware, Department of Electrical and Computer Engineering, Newark, DE, USA (former)


According to our database1, Li Li authored at least 29 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
PME: pruning-based multi-size embedding for recommender systems.
Frontiers Big Data, 2024

LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario.
CoRR, 2024

2023
DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification.
Trans. Mach. Learn. Res., 2023

Editable Graph Neural Network for Node Classifications.
CoRR, 2023

Denoising and Prompt-Tuning for Multi-Behavior Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection.
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.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Adaptive Label Smoothing To Regularize Large-Scale Graph Training.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Proxy-Aware Cross-Domain Sequential Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2023

HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2023

Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Multiple Neighbor Relation Enhanced Graph Collaborative Filtering.
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.
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.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression.
Proceedings of the Tenth International Conference on Learning Representations, 2022

An Information Fusion Approach to Learning with Instance-Dependent Label Noise.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Hierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Time Interval Aware Collaborative Sequential Recommendation with Self-supervised Learning.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks.
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.
CoRR, 2020

Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning.
CoRR, 2020

Explainable Recommender Systems via Resolving Learning Representations.
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.
IEEE Trans. Veh. Technol., 2019

Multi-Carrier LAA with Adaptive Energy Detection and Carrier Selection.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding.
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.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

2017
Coexistence of Wi-Fi and LAA Networks With Adaptive Energy Detection.
IEEE Trans. Veh. Technol., 2017

2015
Impact of direct link on outage of cooperative full-duplex relaying.
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015

2014
Spectral efficiency of cooperative full-duplex relaying with imperfect channel estimation.
Proceedings of the IEEE Global Communications Conference, 2014


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