Ranking from Crowdsourced Pairwise Comparisons via Smoothed Matrix Manifold Optimization. - Jialin Dong; Kai Yang 006; Yuanming Shi (ICDM Workshops, 2017)

Nonconvex Demixing From Bilinear Measurements. - Jialin Dong; Yuanming Shi (IEEE Trans. Signal Process., 2018)

Blind Demixing via Wirtinger Flow with Random Initialization. - Jialin Dong; Yuanming Shi (AISTATS, 2019)

Sparse Blind Demixing for Low-latency Signal Recovery in Massive Iot Connectivity. - Jialin Dong; Yuanming Shi; Zhi Ding 001 (ICASSP, 2019)

Sparse Blind Demixing for Low-Latency Wireless Random Access with Massive Connectivity. - Min Fu 003; Jialin Dong; Yuanming Shi (VTC Fall, 2019)

Blind Demixing for Low-Latency Communication. - Jialin Dong; Kai Yang 006; Yuanming Shi (IEEE Trans. Wirel. Commun., 2019)

Bandit Sampling for Faster Activity and Data Detection in Massive Random Access. - Jialin Dong; Jun Zhang 004; Yuanming Shi (ICASSP, 2020)

Faster Activity and Data Detection in Massive Random Access: A Multi-armed Bandit Approach. - Jialin Dong; Jun Zhang 004; Yuanming Shi; Jessie Hui Wang (CoRR, 2020)

Ranking from Crowdsourced Pairwise Comparisons via Smoothed Riemannian Optimization. - Jialin Dong; Kai Yang 006; Yuanming Shi (ACM Trans. Knowl. Discov. Data, 2020)

Blind Over-the-Air Computation and Data Fusion via Provable Wirtinger Flow. - Jialin Dong; Yuanming Shi; Zhi Ding 001 (IEEE Trans. Signal Process., 2020)

Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs. - Jialin Dong; Da Zheng; Lin F. Yang; George Karypis (KDD, 2021)

Faster Activity and Data Detection in Massive Random Access: A Multiarmed Bandit Approach. - Jialin Dong; Jun Zhang 004; Yuanming Shi; Jessie Hui Wang (IEEE Internet Things J., 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)

Does Sparsity Help in Learning Misspecified Linear Bandits? - Jialin Dong; Lin Yang 011 (ICML, 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 001; Sheng Zhou 001; Zhisheng Niu (VTC Fall, 2023)

Analyzing the Impact of Tax Credits on Households in Simulated Economic Systems with Learning Agents. - Jialin Dong; Kshama Dwarakanath; Svitlana Vyetrenko (CoRR, 2023)

Tax Credits and Household Behavior: The Roles of Myopic Decision-Making and Liquidity in a Simulated Economy. - Kshama Dwarakanath; Jialin Dong; Svitlana Vyetrenko (ICAIF, 2024)

Delayed MDPs with Feature Mapping. - Jialin Dong; Jiayi Wang; Lin F. Yang (IJCNN, 2024)

Provably Correct SGD-Based Exploration for Generalized Stochastic Bandit Problem. - Jialin Dong; Jiayi Wang; Lin F. Yang (SmartNets, 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)

Scenario simulation and regulation policy optimization of industrial enterprise production water considering scale heterogeneity: A case study in the chemical industry. - Dongying Sun; Jialin Dong; Xiaoya Gu; Zhisong Chen (Comput. Ind. Eng., 2025)