Selected Publications

2025

Xinyuan Zhu, Fei Hao, Ming Lei, Aziz Nasridinov, Jiaxing Shang, Zhengxin Yu, Longjiang Guo,

"Trust-aware Caching-constrained Tasks Offloading in Multi-Access Edge Computing,"

Future Generation Computer Systems (IF: 6.1, Q1), ACCEPTED.

Yifan Zhu, Tserenpurev Chuluunsaikhan, Jong-Hyeok Choi, Aziz Nasridinov,

"Integrating Structured and Unstructured Data for Livestock Price Forecasting: A Sustainability Study from South Korea,"

Sustainable Food Systems (IF: 3.7, Q2), July 2025.

2. Azimjon Akhtamov, Sang Hyun Choi, Aziz Nasridinov,

"A Multimodal Fusion Model for Enhanced Industrial Glove-Wearing Compliance Detection,"

In Proceedings of the AAAI Summer Symposium, May 2025.

3. Fariza Urakhova, Tserenpurev Chuluunsaikhan, Jeong-Hun Kim, Aziz Nasridinov,

"E-SMOTE: Embedding-Based Oversampling With Group Awareness for Fraud Detection,"

In Proceedings of the AAAI Summer Symposium, May 2025.

2024

1. Jong-Hyeok Choi, Jeong-Hun Kim, Yoo-Sung Kim, Aziz Nasridinov,

"Three-Dimensional Atrous Inception Module for Crowd Behavior Classification,"

Scientific Reports (IF: 3.8, Q1), Vol. 14, June 2024.

2. Eul Ka, Seungeun Go, Minjin Kwak, Jeong-Hun Kim, Aziz Nasridinov,

"Solar Power Generation Forecasting via Multimodal Feature Fusion,"

In Proceedings of the AAAI2024 (Top-tier, BK IF: 4), Short Paper, February 2024.

(Among the Top 25 best student papers and selected as a finalist for the 3-minute oral presentation contest)

2023

1. Ga-Ae Ryu, Tserenpurev Chuluunsaikhan, Aziz Nasridinov, HyungChul Rah, Kwan-Hee Yoo,

"SCE-LSTM: Sparse Critical Event-driven LSTM Model with Selective Memorization for Agricultural Time-series Prediction,"

Agriculture (IF: 3.6, Q1), Vol 13, No 11, October 2023.

2. Jeong-Hun Kim, Hyunseok Ko, Dong-Hun Yeo, Ji Hoon Park, Upendra Kumar, Kwan-Hee Yoo, Sung Beom Cho, Aziz Nasridinov,

"A versatile strategy for hybridizing small experimental and large simulation data: A case for ceramic tape-casting process,"

Materials & Design (IF: 8.4, Q1), Vol. 234, September 2023.

3. Jeong-Hun Kim, Fei Hao, Carson Kai-Sang Leung, Aziz Nasridinov,

"Cluster-Guided Temporal Modeling for Action Recognition,"

International Journal of Multimedia Information Retrieval (IF: 5.6, Q1), Vol.12, No 15, July 2023.

4. Jeong-Hun Kim, Tserenpurev Chuluunsaikhan, Jong-Hyeok Choi, Aziz Nasridinov,

"Incremental Density-based Clustering with Grid Partitioning,"

In Proceedings of the AAAI2023 (Top-tier, BK IF: 4), Short Paper, February 2023.

5. Fei Hao, Jie Gao, Carmen Bisogni, Vincenzo Loia, Zheng Pei, Aziz Nasridinov,

"Exploring Invariance of Concept Stability for Attribute Reduction in Three-way Concept Lattice,"

Soft Computing (IF: 4.1, Q2), Vol. 27, pp. 723-735, January 2023.

2022

1. Erhe Yang, Fei Hao, Yixuan Yang, Carmen De Maio, Aziz Nasridinov, Geyong Min, and Laurence T. Yang,

"Incremental Entity Summarization with Formal Concept Analysis,"

IEEE Transactions on Services Computing (IF: 8.1, Q1), Vol. 15, No. 6, pp. 3289 - 3303, November 2022.

2. Tserenpurev Chuluunsaikhan, Jeong-Hun Kim, Yoonsung Shin, Sanghyun Choi, Aziz Nasridinov,

"Feasibility Study on the Influence of Data-Partition Strategies on Ensemble Deep Learning: The Case of Forecasting Power Generation in South Korea,"

Energies (IF: 3.2, Q3), Vol. 15, No. 20, October 2022.

3. Fei Hao, Jie Gao, Jianrui Chen, Aziz Nasridinov, Geyong Min,

"Skyline (λ, k)-cliques Identification from Fuzzy Attributed Social Networks,"

IEEE Transactions on Computational Social Systems (IF: 5, Q1), Vol. 9, No. 4, pp. 1075 - 1086, August 2022.

4. Erhe Yang, Fei Hao, Aziz Nasridinov, Geyong Min, Doo-Soon Park,

"Query-oriented Entity Spatial-temporal Summarization in Fuzzy Knowledge Graph,"

In Proceedings of the ACM SAC2022 (Top-tier, h5 index: 30), pp. 795–798, April 2022.

5. Sokchomrern Ean, Manas Bazarbaev, Keon Myung Lee, Aziz Nasridinov and Kwan-Hee Yoo,

"Dynamic programming-based computation of an optimal tap working pattern in nonferrous arc furnace,"

Journal of Supercomputing (IF: 3.3, Q2), Vol. 78, Vol. 1, pp. 640-666, January 2022.

2021

1. Manas Bazarbaev, Tserenpurev Chuluunsaikhan, Hyoseok Oh, Ga-Ae Ryu, Kwan-Hee Yoo, Aziz Nasridinov,

"Generation of Time-series Working Patterns for Manufacturing High-quality Products Through AC-GAN,"

Sensors (IF: 3.847), Vol 22, No. 1, December 2021.

2. Jeong-Hun Kim, Jong-Hyeok Choi, Young-Ho Park, Carson Kai-Sang Leung, and Aziz Nasridinov,

"KNN-SC: Novel Spectral Clustering Algorithm Using k-Nearest Neighbors,"

IEEE Access (IF: 3.476), Vol. 9, pp. 152616-152627, November 2021.

3. Tserenpurev Chuluunsaikhan, Menghok Heak, Aziz Nasridinov, Sang Hyun Choi,

"Comparative Analysis of Predictive Models for Fine Particulate Matter in Daejeon City,"

Atmosphere (IF: 3.110), Vol. 12, No 10, October 2021.

4. Jong-Hyeok Choi, Fei Hao, Yoo-Sung Kim, Aziz Nasridinov,

"Optimization of Dominance Testing in Skyline Queries Using Decision Trees,"

IEEE Access (IF: 3.476), Vol. 9, pp. 130170 - 130184, September 2021.

5. Jong-Hyeok Choi, Jae-Jun Lee, Aziz Nasridinov,

"Dance Self-learning Application and Its Dance Pose Evaluations,"

In Proceedings of the ACM SAC2021 (Top-tier, h5 index: 30), pp. 1037-1045, Virtual Conference, March 2021.

2020

1. Tserenpurev Chuluunsaikhan, Ga-Ae Ryu, Kwan-Hee Yoo, HyungChul Rah, Aziz Nasridinov,

"Incorporating Deep Learning and News Topic Modeling for Forecasting Pork Prices: The Case of South Korea,"

Agriculture (IF: 3.6, Q1), Vol. 10, No 11, October 2020.

2. Jae-Jun Lee, Jong-Hyeok Choi, Tserenpurev Chuluunsaikhan, Aziz Nasridinov,

"Pose Evaluation for Dance Learning Application using Joint Position and Angular Similarity,"

In Proceedings of the UBICOMP2020 (Top-tier, h5 index: 27), September 2020.

3. U-Ju Gim, Jeong-Hun Kim, Kwan-Hee Yoo, Aziz Nasridinov,

"Motion-Attentive Network for Detecting Abnormal Situations in Surveillance Video,"

In Proceedings of the ACM SIGGRAPH2020 (Top-tier, h5 index: 17), August 2020.

4. Jong-Hyeok Choi, Fei Hao, Aziz Nasridinov,

"HI-Sky: Hash Index-Based Skyline Query Processing,"

Applied Sciences (IF: 2.838), Vol. 10, No 5, March 2020.

5. U-Ju Gim, Jae-Jun Lee, Jeong-Hun Kim, Young-Ho Park, Aziz Nasridinov,

"An Automatic Shoplifting Detection from Surveillance Videos,"

In Proceedings of the AAAI2020 (Top-tier, h5 index: 212), Short Paper, February 2020

6. Ga-Ae Ryu, Aziz Nasridinov, HyungChul Rah, Kwan-Hee Yoo,

"Forecasts of the Amount Purchase Pork Meat by Using Structured and Unstructured Big Data,"

Agriculture (IF: 3.6, Q1), Vol. 10, No 1, January 2020.

2019

1. Jeong-Hun Kim, Jong-Hyeok Choi, Kwan-Hee Yoo, Woong-Kee Loh, Aziz Nasridinov,

"A Fast Algorithm for Identifying Density-Based Clustering Structures Using a Constraint Graph,"

Electronics (IF: 2.690), Vol. 8, No. 10, September 2019.

2. Sein Jang, Young-Ho Park, Aziz Nasridinov,

"AVS-Net: Automatic Visual Surveillance Using Relation Network,"

In Proceedings of the AAAI2019 (Top-tier, h5 index: 212), Short Paper, January 2019.

3. So-Hyun Park, Sun-Young Ihm, Aziz Nasridinov, Young-Ho Park,

"A Feasibility Test on Preventing PRMDs Based on Deep Learning,"

In Proceedings of the AAAI2019 (Top-tier, h5 index: 212), Short Paper, January 2019.

4. Jeong-Hun Kim, Jong-Hyeok Choi, Kwan-Hee Yoo, Aziz Nasridinov,

"AA-DBSCAN: an approximate adaptive DBSCAN for finding clusters with varying densities,"

Journal of Supercomputing (IF: 2.557), Vol. 75, No 1, pp. 142-169, January 2019.

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