Spectral efficiency of cooperative full-duplex relaying with imperfect channel estimation. - Li Li 035; Leonard J. Cimini Jr.; Yao Xiao (GLOBECOM, 2014)

Impact of direct link on outage of cooperative full-duplex relaying. - Li Li 035; Leonard J. Cimini Jr.; Xiang-Gen Xia 001 (CISS, 2015)

Coexistence of Wi-Fi and LAA Networks With Adaptive Energy Detection. - Li Li 035; James P. Seymour; Leonard J. Cimini Jr.; Chien-Chung Shen (IEEE Trans. Veh. Technol., 2017)

Traffic Differentiation in Dense WLANs with CSMA/ECA-DR MAC Protocol. - Seyedmohammad Salehi; Li Li 035; Chien-Chung Shen; Leonard J. Cimini Jr.; John Graybeal (VTC Fall, 2018)

A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding. - Xianshan Qu; Li Li 035; Xi Liu 011; Rui Chen 012; Yong Ge; Soo-Hyun Choi (IEEE BigData, 2019)

Multi-Carrier LAA with Adaptive Energy Detection and Carrier Selection. - Li Li 035; Seyedmohammad Salehi; Chien-Chung Shen; Leonard J. Cimini Jr.; John Graybeal (VTC Fall, 2019)

Extending Proportional Fair Scheduling to Buffer-Aided Relay Access Networks. - Guangyi Liu 003; Li Li 035; Leonard J. Cimini Jr.; Chien-Chung Shen (IEEE Trans. Veh. Technol., 2019)

Explainable Recommender Systems via Resolving Learning Representations. - Ninghao Liu; Yong Ge; Li Li 035; Xia Hu 001; Rui Chen 012; Soo-Hyun Choi (CIKM, 2020)

Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning. - Xi Liu 011; Li Li 035; Ping-Chun Hsieh; Muhe Xie; Yong Ge; Rui Chen 012 (CoRR, 2020)

Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation. - Yanan Wang 004; Yong Ge; Li Li 035; Rui Chen 012; Tong Xu 001 (CoRR, 2020)

Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. - Kaixiong Zhou; Xiao Huang 001; Daochen Zha; Rui Chen 012; Li Li 035; Soo-Hyun Choi; Xia Hu 001 (NeurIPS, 2021)

Time Interval Aware Collaborative Sequential Recommendation with Self-supervised Learning. - Chenrui Ma; Li Li 035; Rui Chen 012; Xi Li; Yichen Wang (APWeb/WAIM (3), 2022)

Hierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation. - Chi Zhang 060; Yantong Du; Xiangyu Zhao 001; Qilong Han; Rui Chen 012; Li Li 035 (CIKM, 2022)

An Information Fusion Approach to Learning with Instance-Dependent Label Noise. - Zhimeng Jiang; Kaixiong Zhou; Zirui Liu 001; Li Li 035; Rui Chen 012; Soo-Hyun Choi; Xia Hu 001 (ICLR, 2022)

EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression. - Zirui Liu 001; Kaixiong Zhou; Fan Yang 023; Li Li 035; Rui Chen 012; Xia Hu 001 (ICLR, 2022)

Table2Graph: Transforming Tabular Data to Unified Weighted Graph. - Kaixiong Zhou; Zirui Liu 001; Rui Chen 012; Li Li 035; Soo-Hyun Choi; Xia Hu 001 (IJCAI, 2022)

Multi-Faceted Global Item Relation Learning for Session-Based Recommendation. - Qilong Han; Chi Zhang 060; Rui Chen 012; Riwei Lai; Hongtao Song; Li Li 035 (SIGIR, 2022)

Multiple Neighbor Relation Enhanced Graph Collaborative Filtering. - Riwei Lai; Shitong Xiao; Rui Chen 012; Li Chen 009; Qilong Han; Li Li 035 (WI/IAT, 2022)

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 035; Rui Chen 012; Xia Hu 001 (ICDM, 2023)

HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation. - Rui Chen 012; Guotao Liang; Chenrui Ma; Qilong Han; Li Li 035; Xiao Huang 001 (IJCNN, 2023)

Proxy-Aware Cross-Domain Sequential Recommendation. - Shitong Xiao; Rui Chen 012; Qilong Han; Riwei Lai; Hongtao Song; Li Li 035 (IJCNN, 2023)

Adaptive Label Smoothing To Regularize Large-Scale Graph Training. - Kaixiong Zhou; Soo-Hyun Choi; Zirui Liu 001; Ninghao Liu; Fan Yang 023; Rui Chen 012; Li Li 035; Xia Hu 001 (SDM, 2023)

S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking. - Qiaoyu Tan; Ninghao Liu; Xiao Huang 001; Soo-Hyun Choi; Li Li 035; Rui Chen 012; Xia Hu 001 (WSDM, 2023)

Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. - Qiaoyu Tan; Xin Zhang 104; Ninghao Liu; Daochen Zha; Li Li 035; Rui Chen 012; Soo-Hyun Choi; Xia Hu 001 (WSDM, 2023)

Denoising and Prompt-Tuning for Multi-Behavior Recommendation. - Chi Zhang 060; Rui Chen 012; Xiangyu Zhao 001; Qilong Han; Li Li 035 (WWW, 2023)

Editable Graph Neural Network for Node Classifications. - Zirui Liu 001; Zhimeng Jiang; Shaochen Zhong; Kaixiong Zhou; Li Li 035; Rui Chen 012; Soo-Hyun Choi; Xia Hu 001 (CoRR, 2023)

DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification. - Zirui Liu 001; Kaixiong Zhou; Zhimeng Jiang; Li Li 035; Rui Chen 012; Soo-Hyun Choi; Xia Hu 001 (Trans. Mach. Learn. Res., 2023)

LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem. - Hongyi Liu; Shaochen (Henry) Zhong; Xintong Sun; Minghao Tian; Mohsen Hariri; Zirui Liu 001; Ruixiang Tang; Zhimeng Jiang; Jiayi Yuan 001; Yu-Neng Chuang; Li Li 035; Soo-Hyun Choi; et al. (CoRR, 2024)

PME: pruning-based multi-size embedding for recommender systems. - Zirui Liu 001; Qingquan Song; Li Li 035; Soo-Hyun Choi; Rui Chen 012; Xia Hu 001 (Frontiers Big Data, 2024)

M3Rec: A Context-Aware Offline Meta-Level Model-Based Reinforcement Learning Approach for Cold-Start Recommendation. - Yanan Wang 004; Yong Ge; Zhepeng Li; Li Li 035; Rui Chen 012 (ACM Trans. Inf. Syst., 2024)

Flexible Group Count Enables Hassle-Free Structured Pruning. - Jiamu Zhang; Shaochen Zhong; Andrew Ye; Zirui Liu 001; Sebastian Zhao; Kaixiong Zhou; Li Li 035; Soo-Hyun Choi; Rui Chen 012; Xia Hu 001; Shuai Xu; Vipin Chaudhary (CVPR, 2025)

Proxy-enhanced cross-domain sequential recommendation. - Shitong Xiao; Rui Chen 012; Hongtao Song; Riwei Lai; Qilong Han; Li Li 035 (Data Min. Knowl. Discov., 2025)

Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration. - Songyuan Sui; Hongyi Liu; Serena Liu; Li Li 035; Soo-Hyun Choi; Rui Chen 012; Xia Hu 001 (CoRR, 2025)