Junae Kim - RankMe

36 papers A* 4B 1C 1Misc 1Journal 23Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-agent reinforcement curriculum learning for real unmanned ground vehicles. Eng. Appl. Artif. Intell. Timothy Mead, Zhe Wang, Ernest Foo, Jinsong Dong, Naipeng Dong, Ryan Kok Leong Ko, Abigail M. Y. Koay, Kien Nguyen Thanh, Yue Xu, Junae Kim, Stephen Bornstein, Zhe Hou
2026	J	`jnl`	Survive and Thrive: Decentralized Multi-Agent Coordination Under Attrition Risks. IEEE Trans. Mob. Comput. Nhat Nguyen, Duong D. Nguyen, Junae Kim, Gianluca Rizzo, Hung Nguyen
2025	J	`jnl`	Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning. ACM Comput. Surv. Maxwell Standen, Junae Kim, Claudia Szabo
2025	A*	`conf`	Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them. ICLR Anh Tuan Bui, Thuy-Trang Vu, Long Tung Vuong, Trung Le, Paul Montague, Tamas Abraham, Junae Kim, Dinh Phung
2025	J	`jnl`	Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them. CoRR Anh Bui, Trang Vu, Tung-Long Vuong, Trung Le, Paul Montague, Tamas Abraham, Junae Kim, Dinh Q. Phung
2025	J	`jnl`	Mitigating Semantic Collapse in Generative Personalization with a Surprisingly Simple Test-Time Embedding Adjustment. CoRR Anh Bui, Trang Vu, Trung Le, Junae Kim, Tamas Abraham, Rollin Omari, Amar Kaur, Dinh Q. Phung
2024	J	`jnl`	A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles. CoRR Junae Kim, Amardeep Kaur
2024	J	`jnl`	Adversarial Robustness on Image Classification With k-Means. IEEE Access Rollin Omari, Junae Kim, Paul Montague
2024	J	`jnl`	Decentralized Coordination for Multi-Agent Data Collection in Dynamic Environments. IEEE Trans. Mob. Comput. Nhat Nguyen, Duong Nguyen, Junae Kim, Gianluca Rizzo, Hung X. Nguyen
2024	A*	`conf`	EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection. USENIX Security Symposium Shigang Liu, Di Cao, Junae Kim, Tamas Abraham, Paul Montague, Seyit Camtepe, Jun Zhang, Yang Xiang
2024	J	`jnl`	EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection. CoRR Shigang Liu, Di Cao, Junae Kim, Tamas Abraham, Paul Montague, Seyit Camtepe, Jun Zhang, Yang Xiang
2023	J	`jnl`	Adversarial Robustness on Image Classification with k-means. CoRR Rollin Omari, Junae Kim, Paul Montague
2023	—	`conf`	Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets. PAKDD (1) Jiahui Zhou, Nayyar Abbas Zaidi, Yishuo Zhang, Paul Montague, Junae Kim, Gang Li
2023	J	`jnl`	SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning. CoRR Maxwell Standen, Junae Kim, Claudia Szabo
2022	C	`conf`	Multi-Agent Data Collection in Non-Stationary Environments. WoWMoM Nhat Nguyen, Duong Nguyen, Junae Kim, Gianluca Rizzo, Hung Nguyen
2021	J	`jnl`	CybORG: A Gym for the Development of Autonomous Cyber Agents. CoRR Maxwell Standen, Martin Lucas, David Bowman, Toby J. Richer, Junae Kim, Damian Marriott
2021	J	`jnl`	Deep hierarchical reinforcement agents for automated penetration testing. CoRR Khuong Tran, Ashlesha Akella, Maxwell Standen, Junae Kim, David Bowman, Toby Richer, Chin-Teng Lin
2020	J	`jnl`	CybORG: An Autonomous Cyber Operations Research Gym. CoRR Callum Baillie, Maxwell Standen, Jonathon Schwartz, Michael Docking, David Bowman, Junae Kim
2019	—	`conf`	Towards Attention Based Vulnerability Discovery Using Source Code Representation. ICANN (4) Junae Kim, David Hubczenko, Paul Montague
2017	B	`conf`	An efficient semi-supervised SVM for anomaly detection. IJCNN Paul Montague, Junae Kim
2014	J	`jnl`	Efficient Dual Approach to Distance Metric Learning. IEEE Trans. Neural Networks Learn. Syst. Chunhua Shen, Junae Kim, Fayao Liu, Lei Wang, Anton van den Hengel
2013	J	`jnl`	An Efficient Dual Approach to Distance Metric Learning CoRR Chunhua Shen, Junae Kim, Fayao Liu, Lei Wang, Anton van den Hengel
2012	—	`conf`	An face-based visual fixation system for prosthetic vision. EMBC Xuming He, Junae Kim, Nick Barnes
2012	J	`jnl`	Positive Semidefinite Metric Learning Using Boosting-like Algorithms. J. Mach. Learn. Res. Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel
2012	—	`conf`	The role of vision processing in prosthetic vision. EMBC Nick Barnes, Xuming He, Chris McCarthy, Lachlan Horne, Junae Kim, Adele F. Scott, Paulette Lieby
2011	A*	`conf`	A scalable dual approach to semidefinite metric learning. CVPR Chunhua Shen, Junae Kim, Lei Wang
2011	A*	`conf`	Efficiently Learning a Distance Metric for Large Margin Nearest Neighbor Classification. AAAI Kyoungup Park, Chunhua Shen, Zhihui Hao, Junae Kim
2011	J	`jnl`	Positive Semidefinite Metric Learning Using Boosting-like Algorithms CoRR Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel
2010	J	`jnl`	Generalized Kernel-Based Visual Tracking. IEEE Trans. Circuits Syst. Video Technol. Chunhua Shen, Junae Kim, Hanzi Wang
2010	J	`jnl`	Scalable Large-Margin Mahalanobis Distance Metric Learning CoRR Chunhua Shen, Junae Kim, Lei Wang
2010	J	`jnl`	Scalable large-margin Mahalanobis distance metric learning. IEEE Trans. Neural Networks Chunhua Shen, Junae Kim, Lei Wang
2009	—	`conf`	A Scalable Algorithm for Learning a Mahalanobis Distance Metric. ACCV (3) Junae Kim, Chunhua Shen, Lei Wang
2009	J	`jnl`	Generalized Kernel-based Visual Tracking CoRR Chunhua Shen, Junae Kim, Hanzi Wang
2009	J	`jnl`	Positive Semidefinite Metric Learning with Boosting CoRR Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel
2009	—	`conf`	Positive Semidefinite Metric Learning with Boosting. NIPS Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel
2008	Misc	`conf`	Learning Cascaded Reduced-Set SVMs Using Linear Programming. DICTA Junae Kim, Chunhua Shen, Lei Wang