International Conference Publications

17. Byunghyuk Youn, *Ohyun Jo, "C2R-KD: Complex to Real Knowledge Distillation"
The 40th Annual AAAI Conference on Artificial Intelligence (AAAI-26), short paper, Singapore, 2026.
(h5 index: 232)

16. Min Kim, *Ohyun Jo, "CompRestacking: Capturing Channel Dependency in Highly Correlated Multivariate Time Series Data"
The 40th Annual AAAI Conference on Artificial Intelligence (AAAI-26), short paper, Singapore, 2026.
(h5 index: 232)

15. Byunghyuk Youn, *Ohyun Jo, "Transferring Complex-Domain Representations to Real-Valued Networks through Knowledge Distillation"
The 26th International Symposium on Advanced Intelligent Systems (ISIS2025), Korea, 2025. 

14. Min Kim, *Ohyun Jo, "Confusion of Channels : Are All Channels Useful in Multivariate Time Series Forecasting?"
The 26th International Symposium on Advanced Intelligent Systems (ISIS2025), Korea, 2025. 

13. Woonggyu Min, Jongseok Kim and *Ohyun Jo, "Denoising Method for Wireless Communication Signals Based on Convolutional AutoEncoder"
International Conference on Artificial intelligence in Information and Communication (ICAIIC), Japan, 2025.

12. Taegyeom Lee, *Ohyun Jo, "Imitation Learning Backoff: Reinforcement Learning-based Channel Access for Guaranteeing Fairness"
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI-25), short paper, Philadelphia, 2025.
(h5 index: 220)

11. Bayaraa Enkhsaikhan, *Ohyun Jo, "Augmented Lagrangian Risk-constrained Reinforcement Learning for Portfolio Optimization"
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI-25), short paper, Philadelphia, 2025.
(h5 index: 220)

10. JongSeok Kim,  *Ohyun Jo, "IncepSeqNet : Advancing Signal Classification with Multi-Shape Augmentation"
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI-24), short paper, Vancouver, 2024.
(h5 index: 212) 

9. Seungwoo Kang,  *Ohyun Jo, "Multivariate Time-Series Imagification with Time Embedding in Constrained Environments"
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI-24), short paper, Vancouver, 2024.

(h5 index: 212) 

8. Seok hyeon Park, Junghun Byun, Kyung-Seop Shin and *Ohyun Jo, "Ocean Current Prediction Model Based on Machine Learning for Deciding Handover Priority in Underwater Wireless Sensor Networks"
International Conference on Artificial intelligence in Information and Communication (ICAIIC), Japan, 2020. 

7. Junghun Byun, Yong-Ho Cho, Tae-Ho Im, Hak-Lim Ko, Kyung-Seop Shin and *Ohyun Jo, "Iterative Learning for Reliable Underwater Link Adaptation"
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), short paper, New York, 2020.
(h5 index: 95) 

​6. Donghan Chee, Juyeop Kim,Woo-Geun Ahn,Ohyun Jo,Ju Yong Lee, Dong-Ho Cho, “Design and Performance Evaluation of Virtual Cellular Networks Mitigating Inter-cell Interference in Indoor Environments”

International Conference on ICT Convergence, Sep. 2011.​

5.  Ohyun Jo, Hyun Ho Choi, Dong-Ho Cho, “Seamless spectrum handover improving cell outage in cognitive radio systems”
4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, 2009.

4. Ohyun Jo, Dong-Ho Cho, “Efficient Spectrum Matching Based on Spectrum Characteristics in Cognitive Radio Systems”
IEEE Wireless Telecommunications Symposium, Aug. 2008.

3. Ohyun Jo, Dong-Ho Cho, “Traffic Adaptive Uplink Scheduling Scheme for Relay Station in IEEE 802.16 based Multi-hop System”
IEEE Vehicular Technology Conference, Oct. 2007.

2. Ohyun Jo, Ji-Hyun Park, Dong-Ho Cho, “QoS Provisioning Spectrum Management Based on Intelligent Matching and Reservation for Cognitive Radio System”

International Conference on Cognitive Radio Oriented Wireless Networks and Communications, Aug. 2007.

 1.  Ohyun Jo, Jong-wuk Son, Soo-yong Jeon, Dong-ho Cho, “Enhanced Packet Scheduling Algorithm Providing QoS in High Speed Downlink Packet Access”

IEEE Vehicular Technology Conference, 2006.