Shi Dong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
15
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AIED | From BOPPPS Stages to Cognitive-Adaptive Prompts: Controlling Instructional Drift in LLM-Based Tutoring Dialogues. | Longxiang Du, Rui Zhong, Zhenwan Zhu, Shi Dong, Shuyuan Sun |
| 2025 | ICML | Concurrent Reinforcement Learning with Aggregated States via Randomized Least Squares Value Iteration. | Yan Chen, Qinxun Bai, Yiteng Zhang, Maria Dimakopoulou, Shi Dong, Qi Sun, Zhengyuan Zhou |
| 2024 | ICANN | Improved Multi-hop Reasoning Through Sampling and Aggregating. | Mengyu Luo, Jianxia Chen, Qi Yan, Gaohang Jiang, Shi Dong, Liang Xiao, Zhongwei Huang |
| 2024 | IJCNN | Dual Frequency-based Temporal Sequential Recommendation. | Shijie Luo, Jianxia Chen, Tianci Yu, Shi Dong, Gaohang Jiang, Ninglong Ding |
| 2023 | ICONIP | A Novel Interaction Convolutional Network Based on Dependency Trees for Aspect-Level Sentiment Analysis. | Lei Mao, Jianxia Chen, Shi Dong, Liang Xiao, Haoying Si, Shu Li, Xinyun Wu |
| 2023 | SEKE | Aspect-level Sentiment Analysis Based on Convolutional Network with Dependency Tree. | Lei Mao, Jianxia Chen, Shi Dong, Liang Xiao, Haoying Si, Xinyun Wu |
| 2022 | IPCCC | An Abnormal Traffic Detection Method for IoT Devices Based on Federated Learning and Depthwise Separable Convolutional Neural Networks. | Qinyu Xia, Shi Dong, Tao Peng |
| 2021 | ISPASS | GNNMark: A Benchmark Suite to Characterize Graph Neural Network Training on GPUs. | Trinayan Baruah, Kaustubh Shivdikar, Shi Dong, Yifan Sun, Saiful A. Mojumder, Kihoon Jung, Jos L. Abelln, Yash Ukidave, Ajay Joshi, John Kim, David R. Kaeli |
| 2020 | ICMLA | Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth. | Shi Dong, Zlatan Feric, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer G. Dy, John Meeker, Ingrid Y. Padilla, Jos Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh, David R. Kaeli |
| 2020 | SBAC-PAD | Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC. | Nicolas Bohm Agostini, Shi Dong, Elmira Karimi, Marti Torrents Lapuerta, Jos Cano, Jos L. Abelln, David R. Kaeli |
| 2019 | COLT | On the Performance of Thompson Sampling on Logistic Bandits. | Shi Dong, Tengyu Ma, Benjamin Van Roy |
| 2019 | ISCA | MGPUSim: enabling multi-GPU performance modeling and optimization. | Yifan Sun, Trinayan Baruah, Saiful A. Mojumder, Shi Dong, Xiang Gong, Shane Treadway, Yuhui Bao, Spencer Hance, Carter McCardwell, Vincent Zhao, Harrison Barclay, Amir Kavyan Ziabari, Zhongliang Chen, Rafael Ubal, Jos L. Abelln, John Kim, Ajay Joshi, David R. Kaeli |
| 2018 | DATE | Airavat: Improving energy efficiency of heterogeneous applications. | Trinayan Baruah, Yifan Sun, Shi Dong, David R. Kaeli, Norm Rubin |
| 2018 | ISPASS | Evaluating Performance Tradeoffs on the Radeon Open Compute Platform. | Yifan Sun, Saoni Mukherjee, Trinayan Baruah, Shi Dong, Julian Gutierrez, Prannoy Mohan, David R. Kaeli |
| 2017 | PPoPP | DNNMark: A Deep Neural Network Benchmark Suite for GPUs. | Shi Dong, David R. Kaeli |
| 2013 | ICASSP | An expanded Mid/Side coding for 3D audio signal compression. | Shi Dong, Ruimin Hu, Xiaochen Wang, Weiping Tu, Xiang Zheng |
| 2013 | ICASSP | Manifold regularized sparse support regression for single image super-resolution. | Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zhen Han, Shi Dong |