Jialin Dong

According to our database, Jialin Dong authored at least 20 papers between 2017 and 2024.

Collaborative distances:

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

2024

Don't Forget to Connect! Improving RAG with Graph-based Reranking.

Jialin Dong, Bahare Fatemi, Bryan Perozzi, Lin F. Yang, Anton Tsitsulin

CoRR, 2024

Provably Correct SGD-Based Exploration for Generalized Stochastic Bandit Problem.

Jialin Dong, Jiayi Wang, Lin F. Yang

Proceedings of the International Conference on Smart Applications, 2024

Delayed MDPs with Feature Mapping.

Jialin Dong, Jiayi Wang, Lin F. Yang

Proceedings of the International Joint Conference on Neural Networks, 2024

Tax Credits and Household Behavior: The Roles of Myopic Decision-Making and Liquidity in a Simulated Economy.

Kshama Dwarakanath, Jialin Dong, Svitlana Vyetrenko

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

2023

Analyzing the Impact of Tax Credits on Households in Simulated Economic Systems with Learning Agents.

Jialin Dong, Kshama Dwarakanath, Svitlana Vyetrenko

CoRR, 2023

MoRFF: Multi-View Object Detection for Connected Autonomous Driving under Communication and Localization Limitations.

Ruiqing Mao, Jingyu Guo, Yukuan Jia, Jialin Dong, Yuxuan Sun, Sheng Zhou, Zhisheng Niu

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Does Sparsity Help in Learning Misspecified Linear Bandits?

Jialin Dong, Lin Yang

Proceedings of the International Conference on Machine Learning, 2023

2022

Multifunctional Signal Design for Measurement, Navigation and Communication Based on BOC and BPSK Modulation.

Linshan Xue, Xue Li, Weiren Wu, Jialin Dong

Remote. Sens., 2022

Faster Activity and Data Detection in Massive Random Access: A Multiarmed Bandit Approach.

Jialin Dong, Jun Zhang, Yuanming Shi, Jessie Hui Wang

IEEE Internet Things J., 2022

2021

Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs.

Jialin Dong, Da Zheng, Lin F. Yang, George Karypis

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Blind Over-the-Air Computation and Data Fusion via Provable Wirtinger Flow.

Jialin Dong, Yuanming Shi, Zhi Ding

IEEE Trans. Signal Process., 2020

Ranking from Crowdsourced Pairwise Comparisons via Smoothed Riemannian Optimization.

Jialin Dong, Kai Yang, Yuanming Shi

ACM Trans. Knowl. Discov. Data, 2020

Faster Activity and Data Detection in Massive Random Access: A Multi-armed Bandit Approach.

Jialin Dong, Jun Zhang, Yuanming Shi, Jessie Hui Wang

CoRR, 2020

Bandit Sampling for Faster Activity and Data Detection in Massive Random Access.

Jialin Dong, Jun Zhang, Yuanming Shi

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Blind Demixing for Low-Latency Communication.

Jialin Dong, Kai Yang, Yuanming Shi

IEEE Trans. Wirel. Commun., 2019

Sparse Blind Demixing for Low-Latency Wireless Random Access with Massive Connectivity.

Min Fu, Jialin Dong, Yuanming Shi

Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Sparse Blind Demixing for Low-latency Signal Recovery in Massive Iot Connectivity.

Jialin Dong, Yuanming Shi, Zhi Ding

Proceedings of the IEEE International Conference on Acoustics, 2019

Blind Demixing via Wirtinger Flow with Random Initialization.

Jialin Dong, Yuanming Shi

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Nonconvex Demixing From Bilinear Measurements.

Jialin Dong, Yuanming Shi

IEEE Trans. Signal Process., 2018

2017

Ranking from Crowdsourced Pairwise Comparisons via Smoothed Matrix Manifold Optimization.

Jialin Dong, Kai Yang, Yuanming Shi

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017