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Minseok Jung
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2020 – today
- 2025
[j1]Jeonggyu Huh, Dajin Kim, Minseok Jung, Seungwon Jeong:
Dual-Uncertainty modeling in financial time-series via VMD-LSTM with concrete dropout and VMD-WGAN. Networks Heterog. Media 20(5): 1411-1436 (2025)
[c2]Cheol-Ho Cho, WonJun Moon, Woojin Jun, Minseok Jung, Jae-Pil Heo:
Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video Retrieval. AAAI 2025: 2500-2508
[c1]Woojin Jun, WonJun Moon, Cheol-Ho Cho, Minseok Jung, Jae-Pil Heo:
Bridging the Semantic Granularity Gap Between Text and Frame Representations for Partially Relevant Video Retrieval. AAAI 2025: 4166-4174
[i4]Minseok Jung, Cynthia Fuertes Panizo, Liam Dugan, Yi R. Fung, Pin-Yu Chen, Paul Pu Liang:
Group-Adaptive Threshold Optimization for Robust AI-Generated Text Detection. CoRR abs/2502.04528 (2025)
[i3]Yubin Kim, Hyewon Jeong, Shan Chen, Shuyue Stella Li, Mingyu Lu, Kumail Alhamoud, Jimin Mun, Cristina Grau, Minseok Jung, Rodrigo Gameiro, Lizhou Fan, Eugene Park, Tristan Lin, Joonsik Yoon, Wonjin Yoon, Maarten Sap, Yulia Tsvetkov, Paul Liang, Xuhai Xu, Xin Liu, Daniel McDuff, Hyeonhoon Lee, Hae Won Park, Samir Tulebaev, Cynthia Breazeal:
Medical Hallucinations in Foundation Models and Their Impact on Healthcare. CoRR abs/2503.05777 (2025)
[i2]Minseok Jung, Abhas Ricky, Muhammad Rameez Chatni:
3D Optimization for AI Inference Scaling: Balancing Accuracy, Cost, and Latency. CoRR abs/2510.18905 (2025)- 2024
[i1]Minseok Jung, Aurora Zhang, Junho Lee, Paul Pu Liang:
Quantitative Insights into Language Model Usage and Trust in Academia: An Empirical Study. CoRR abs/2409.09186 (2024)
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