Li Li - RankMe

42 papers A* 8A 5B 3Misc 1Journal 18Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration. IJCNLP-AACL (long papers) Songyuan Sui, Hongyi Liu, Serena Liu, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu
2025	J	`jnl`	Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration. CoRR Songyuan Sui, Hongyi Liu, Serena Liu, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu
2025	A*	`conf`	Flexible Group Count Enables Hassle-Free Structured Pruning. CVPR Jiamu Zhang, Shaochen Zhong, Andrew Ye, Zirui Liu, Sebastian Zhao, Kaixiong Zhou, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu, Shuai Xu, Vipin Chaudhary
2025	—	`conf`	LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem. EMNLP (Findings) Hongyi Liu, Shaochen Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu
2025	J	`jnl`	Proxy-enhanced cross-domain sequential recommendation. Data Min. Knowl. Discov. Shitong Xiao, Rui Chen, Hongtao Song, Riwei Lai, Qilong Han, Li Li
2024	J	`jnl`	LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem. CoRR Hongyi Liu, Shaochen (Henry) Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu
2024	J	`jnl`	M ACM Trans. Inf. Syst. Yanan Wang, Yong Ge, Zhepeng Li, Li Li, Rui Chen
2024	J	`jnl`	PME: pruning-based multi-size embedding for recommender systems. Frontiers Big Data Zirui Liu, Qingquan Song, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu
2023	A	`conf`	Adaptive Label Smoothing To Regularize Large-Scale Graph Training. SDM Kaixiong Zhou, Soo-Hyun Choi, Zirui Liu, Ninghao Liu, Fan Yang, Rui Chen, Li Li, Xia Hu
2023	A	`conf`	Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. WSDM Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2023	J	`jnl`	DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification. Trans. Mach. Learn. Res. Zirui Liu, Kaixiong Zhou, Zhimeng Jiang, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2023	A*	`conf`	Denoising and Prompt-Tuning for Multi-Behavior Recommendation. WWW Chi Zhang, Rui Chen, Xiangyu Zhao, Qilong Han, Li Li
2023	J	`jnl`	Denoising and Prompt-Tuning for Multi-Behavior Recommendation. CoRR Chi Zhang, Rui Chen, Xiangyu Zhao, Qilong Han, Li Li
2023	A*	`conf`	Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation. ICDM Qiaoyu Tan, Daochen Zha, Ninghao Liu, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu
2023	J	`jnl`	Editable Graph Neural Network for Node Classifications. CoRR Zirui Liu, Zhimeng Jiang, Shaochen Zhong, Kaixiong Zhou, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2023	B	`conf`	HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation. IJCNN Rui Chen, Guotao Liang, Chenrui Ma, Qilong Han, Li Li, Xiao Huang
2023	J	`jnl`	HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation. CoRR Rui Chen, Guotao Liang, Chenrui Ma, Qilong Han, Li Li, Xiao Huang
2023	B	`conf`	Proxy-Aware Cross-Domain Sequential Recommendation. IJCNN Shitong Xiao, Rui Chen, Qilong Han, Riwei Lai, Hongtao Song, Li Li
2023	A	`conf`	S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking. WSDM Qiaoyu Tan, Ninghao Liu, Xiao Huang, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu
2022	A*	`conf`	An Information Fusion Approach to Learning with Instance-Dependent Label Noise. ICLR Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2022	J	`jnl`	Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. CoRR Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2022	A*	`conf`	EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression. ICLR Zirui Liu, Kaixiong Zhou, Fan Yang, Li Li, Rui Chen, Xia Hu
2022	A	`conf`	Hierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation. CIKM Chi Zhang, Yantong Du, Xiangyu Zhao, Qilong Han, Rui Chen, Li Li
2022	A*	`conf`	Multi-Faceted Global Item Relation Learning for Session-Based Recommendation. SIGIR Qilong Han, Chi Zhang, Rui Chen, Riwei Lai, Hongtao Song, Li Li
2022	—	`conf`	Multiple Neighbor Relation Enhanced Graph Collaborative Filtering. WI/IAT Riwei Lai, Shitong Xiao, Rui Chen, Li Chen, Qilong Han, Li Li
2022	A*	`conf`	Table2Graph: Transforming Tabular Data to Unified Weighted Graph. IJCAI Kaixiong Zhou, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2022	—	`conf`	Time Interval Aware Collaborative Sequential Recommendation with Self-supervised Learning. APWeb/WAIM (3) Chenrui Ma, Li Li, Rui Chen, Xi Li, Yichen Wang
2021	J	`jnl`	Adaptive Label Smoothing To Regularize Large-Scale Graph Training. CoRR Kaixiong Zhou, Ninghao Liu, Fan Yang, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2021	A*	`conf`	Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. NeurIPS Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2021	J	`jnl`	Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. CoRR Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2020	J	`jnl`	Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning. CoRR Xi Liu, Li Li, Ping-Chun Hsieh, Muhe Xie, Yong Ge, Rui Chen
2020	A	`conf`	Explainable Recommender Systems via Resolving Learning Representations. CIKM Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi
2020	J	`jnl`	Explainable Recommender Systems via Resolving Learning Representations. CoRR Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi
2020	J	`jnl`	Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation. CoRR Yanan Wang, Yong Ge, Li Li, Rui Chen, Tong Xu
2019	—	`conf`	A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding. IEEE BigData Xianshan Qu, Li Li, Xi Liu, Rui Chen, Yong Ge, Soo-Hyun Choi
2019	J	`jnl`	Extending Proportional Fair Scheduling to Buffer-Aided Relay Access Networks. IEEE Trans. Veh. Technol. Guangyi Liu, Li Li, Leonard J. Cimini Jr., Chien-Chung Shen
2019	—	`conf`	Multi-Carrier LAA with Adaptive Energy Detection and Carrier Selection. VTC Fall Li Li, Seyedmohammad Salehi, Chien-Chung Shen, Leonard J. Cimini Jr., John Graybeal
2018	—	`conf`	Traffic Differentiation in Dense WLANs with CSMA/ECA-DR MAC Protocol. VTC Fall Seyedmohammad Salehi, Li Li, Chien-Chung Shen, Leonard J. Cimini Jr., John Graybeal
2018	J	`jnl`	Traffic Differentiation in Dense WLANs with CSMA/ECA-DR MAC Protocol. CoRR Seyedmohammad Salehi, Li Li, Chien-Chung Shen, Leonard J. Cimini Jr., John Graybeal
2017	J	`jnl`	Coexistence of Wi-Fi and LAA Networks With Adaptive Energy Detection. IEEE Trans. Veh. Technol. Li Li, James P. Seymour, Leonard J. Cimini Jr., Chien-Chung Shen
2015	Misc	`conf`	Impact of direct link on outage of cooperative full-duplex relaying. CISS Li Li, Leonard J. Cimini Jr., Xiang-Gen Xia
2014	B	`conf`	Spectral efficiency of cooperative full-duplex relaying with imperfect channel estimation. GLOBECOM Li Li, Leonard J. Cimini Jr., Yao Xiao