Jihwan Jeong

25 papers A* 8B 1Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — conf
ConvApparel: A Benchmark Dataset and Validation Framework for User Simulators in Conversational Recommenders.
EACL (Volume 1: Long Papers)
Ofer Meshi, Krisztian Balog, Sally Goldman, Avi Caciularu, Guy Tennenholtz, Jihwan Jeong, Amir Globerson, Craig Boutilier
2026 J jnl
ConvApparel: A Benchmark Dataset and Validation Framework for User Simulators in Conversational Recommenders.
CoRR
Ofer Meshi, Krisztian Balog, Sally Goldman, Avi Caciularu, Guy Tennenholtz, Jihwan Jeong, Amir Globerson, Craig Boutilier
2025 J jnl
Descriptive History Representations: Learning Representations by Answering Questions.
CoRR
Guy Tennenholtz, Jihwan Jeong, Chih-Wei Hsu, Yinlam Chow, Craig Boutilier
2025 A* conf
ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning.
AAAI
Xiaotian Liu, Jihwan Jeong, Ayal Taitler, Michael Gimelfarb, Scott Sanner
2025 A* conf
Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens.
ICML
Jihwan Jeong, Xiaoyu Wang, Jingmin Wang, Scott Sanner, Pascal Poupart
2025 J jnl
Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens.
CoRR
Jihwan Jeong, Xiaoyu Wang, Jingmin Wang, Scott Sanner, Pascal Poupart
2024 A* conf
Demystifying Embedding Spaces using Large Language Models.
ICLR
Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier
2024 — conf
Method of Controlling Moving Objects Using a Virtual Environment Based on 6G.
ICTC
Jihwan Jeong, Heonjong Yoo, Seonggon Choi
2023 B conf
A Mixed-Integer Linear Programming Reduction of Disjoint Bilinear Programs via Symbolic Variable Elimination.
CPAIOR
Jihwan Jeong, Scott Sanner, Akshat Kumar
2023 A* conf
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization.
ICLR
Jihwan Jeong, Xiaoyu Wang, Michael Gimelfarb, Hyunwoo Kim, Baher Abdulhai, Scott Sanner
2023 J jnl
Demystifying Embedding Spaces using Large Language Models.
CoRR
Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier
2023 J jnl
Factual and Personalized Recommendations using Language Models and Reinforcement Learning.
CoRR
Jihwan Jeong, Yinlam Chow, Guy Tennenholtz, Chih-Wei Hsu, Azamat Tulepbergenov, Mohammad Ghavamzadeh, Craig Boutilier
2022 A* conf
A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs.
AAAI
Noah Patton, Jihwan Jeong, Mike Gimelfarb, Scott Sanner
2022 A* conf
An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming.
ICML
Jihwan Jeong, Parth Jaggi, Andrew Butler, Scott Sanner
2022 J jnl
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization.
CoRR
Jihwan Jeong, Xiaoyu Wang, Michael Gimelfarb, Hyunwoo Kim, Baher Abdulhai, Scott Sanner
2022 J jnl
Online continual learning in image classification: An empirical survey.
Neurocomputing
Zheda Mai, Ruiwen Li, Jihwan Jeong, David Quispe, Hyunwoo Kim, Scott Sanner
2021 J jnl
Bayesian optimization for a multiple-component system with target values.
Comput. Ind. Eng.
Jihwan Jeong, Hayong Shin
2021 A* conf
Online Class-Incremental Continual Learning with Adversarial Shapley Value.
AAAI
Dongsub Shim, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang
2021 J jnl
Online Continual Learning in Image Classification: An Empirical Survey.
CoRR
Zheda Mai, Ruiwen Li, Jihwan Jeong, David Quispe, Hyunwoo Kim, Scott Sanner
2021 J jnl
RAPTOR: End-to-end Risk-Aware MDP Planning and Policy Learning by Backpropagation.
CoRR
Noah Patton, Jihwan Jeong, Michael Gimelfarb, Scott Sanner
2021 A* conf
Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions.
IJCAI
Jihwan Jeong, Parth Jaggi, Scott Sanner
2020 J jnl
Adversarial Shapley Value Experience Replay for Task-Free Continual Learning.
CoRR
Zheda Mai, Dongsub Shim, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang
2020 J jnl
Batch-level Experience Replay with Review for Continual Learning.
CoRR
Zheda Mai, Hyunwoo Kim, Jihwan Jeong, Scott Sanner
2014 — conf
DroidGraph: discovering Android malware by analyzing semantic behavior.
CNS
Jonghoon Kwon, Jihwan Jeong, Jehyun Lee, Heejo Lee
2014 — conf
MysteryChecker: Unpredictable attestation to detect repackaged malicious applications in Android.
MALWARE
Jihwan Jeong, Dongwon Seo, Chanyoung Lee, Jonghoon Kwon, Heejo Lee, John Milburn