Khoa D. Doan - RankMe

67 papers A* 13A 2C 2Journal 40Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Clean-Label Physical Backdoor Attacks with Data Distillation. AAAI Thinh Dao, Khoa D. Doan, Kok-Seng Wong
2026	J	`jnl`	Decoding the Critique Mechanism in Large Reasoning Models. CoRR Hoang Phan, Quang H. Nguyen, Hung T. Q. Le, Xiusi Chen, Heng Ji, Khoa D. Doan
2026	J	`jnl`	Retrospective Feature Estimation for Continual Learning. Trans. Mach. Learn. Res. Nghia D. Nguyen, Hieu Trung Nguyen, Ang Li, Hoang Pham, Viet Anh Nguyen, Khoa D. Doan
2026	—	`conf`	SpARK: An Embarrassingly Simple Sparse Watermarking in LLMs with Enhanced Text Quality. EACL (Findings) Duy C. Hoang, Hung T. Q. Le, Rui Chu, Ping Li, Weijie Zhao, Yingjie Lao, Khoa D. Doan
2026	J	`jnl`	StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models. CoRR Duy M. H. Nguyen, Tuan A. Tran, Duong Nguyen, Siwei Xie, Trung Q. Nguyen, Mai T. N. Truong, Daniel Palenicek, An T. Le, Michael Barz, TrungTin Nguyen, Tuan Dam, Ngan Le, Minh Vu, Khoa D. Doan, Ngo Anh Vien, Pengtao Xie, James Zou, Daniel Sonntag, Jan Peters, Mathias Niepert
2025	J	`jnl`	Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation. CoRR Duy A. Nguyen, Quan Huu Do, Khoa D. Doan, Minh N. Do
2025	J	`jnl`	BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning. CoRR Thinh Dao, Dung Thuy Nguyen, Khoa D. Doan, Kok-Seng Wong
2025	J	`jnl`	FLAT: Latent-Driven Arbitrary-Target Backdoor Attacks in Federated Learning. CoRR Tuan Nguyen, Khoa D. Doan, Kok-Seng Wong
2025	J	`jnl`	HFedATM: Hierarchical Federated Domain Generalization via Optimal Transport and Regularized Mean Aggregation. CoRR Thinh Nguyen, Trung Phan, Binh T. Nguyen, Khoa D. Doan, Kok-Seng Wong
2025	J	`jnl`	How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need? CoRR Tuan Anh Tran, Duy M. H. Nguyen, Hoai-Chau Tran, Michael Barz, Khoa D. Doan, Roger Wattenhofer, Ngo Anh Vien, Mathias Niepert, Daniel Sonntag, Paul Swoboda
2025	A*	`conf`	LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models. ICML Parshin Shojaee, Ngoc-Hieu Nguyen, Kazem Meidani, Amir Barati Farimani, Khoa D. Doan, Chandan K. Reddy
2025	J	`jnl`	LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models. CoRR Parshin Shojaee, Ngoc-Hieu Nguyen, Kazem Meidani, Amir Barati Farimani, Khoa D. Doan, Chandan K. Reddy
2025	J	`jnl`	Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling. CoRR Phuc Minh Nguyen, Ngoc-Hieu Nguyen, Duy H. M. Nguyen, Anji Liu, An Mai, Binh T. Nguyen, Daniel Sonntag, Khoa D. Doan
2025	J	`jnl`	The Reasoning Boundary Paradox: How Reinforcement Learning Constrains Language Models. CoRR Phuc Minh Nguyen, Chinh D. La, Duy M. H. Nguyen, Nitesh V. Chawla, Binh T. Nguyen, Khoa D. Doan
2025	A*	`conf`	Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks. ICLR Nguyen Hung-Quang, Ngoc-Hieu Nguyen, The-Anh Ta, Thanh Nguyen-Tang, Kok-Seng Wong, Hoang Thanh-Tung, Khoa D. Doan
2025	J	`jnl`	pFedDSH: Enabling Knowledge Transfer in Personalized Federated Learning through Data-free Sub-Hypernetwork. CoRR Thinh Nguyen, Le Huy Khiem, Van-Tuan Tran, Khoa D. Doan, Nitesh V. Chawla, Kok-Seng Wong
2024	J	`jnl`	Backdoor attacks and defenses in federated learning: Survey, challenges and future research directions. Eng. Appl. Artif. Intell. Thuy Dung Nguyen, Tuan Nguyen, Phi Le Nguyen, Hieu H. Pham, Khoa D. Doan, Kok-Seng Wong
2024	A	`conf`	Cold-start Recommendation by Personalized Embedding Region Elicitation. UAI Hieu Trung Nguyen, Duy Nguyen, Khoa D. Doan, Viet Anh Nguyen
2024	J	`jnl`	Cold-start Recommendation by Personalized Embedding Region Elicitation. CoRR Hieu Trung Nguyen, Duy Nguyen, Khoa D. Doan, Viet Anh Nguyen
2024	—	`conf`	Composite Concept Extraction Through Backdooring. ICPR (29) Banibrata Ghosh, Haripriya Harikumar, Khoa D. Doan, Svetha Venkatesh, Santu Rana
2024	J	`jnl`	Composite Concept Extraction through Backdooring. CoRR Banibrata Ghosh, Haripriya Harikumar, Khoa D. Doan, Svetha Venkatesh, Santu Rana
2024	—	`conf`	Data Poisoning Quantization Backdoor Attack. ECCV (84) Tran Huynh, Anh Tran, Khoa D. Doan, Tung Pham
2024	—	`conf`	Flatness-Aware Sequential Learning Generates Resilient Backdoors. ECCV (87) Hoang Pham, The-Anh Ta, Anh Tran, Khoa D. Doan
2024	J	`jnl`	Flatness-aware Sequential Learning Generates Resilient Backdoors. CoRR Hoang Pham, The-Anh Ta, Anh Tran, Khoa D. Doan
2024	—	`conf`	Fooling the Textual Fooler via Randomizing Latent Representations. ACL (Findings) Duy C. Hoang, Nguyen Hung-Quang, Saurav Manchanda, Minlong Peng, Kok-Seng Wong, Khoa D. Doan
2024	J	`jnl`	Forget but Recall: Incremental Latent Rectification in Continual Learning. CoRR Nghia D. Nguyen, Hieu Trung Nguyen, Ang Li, Hoang Pham, Viet Anh Nguyen, Khoa D. Doan
2024	J	`jnl`	Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality. CoRR Duy C. Hoang, Hung T. Q. Le, Rui Chu, Ping Li, Weijie Zhao, Yingjie Lao, Khoa D. Doan
2024	J	`jnl`	MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMs. CoRR Quang H. Nguyen, Duy C. Hoang, Juliette Decugis, Saurav Manchanda, Nitesh V. Chawla, Khoa D. Doan
2024	J	`jnl`	Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape. CoRR Tuan Nguyen, Dung Thuy Nguyen, Khoa D. Doan, Kok-Seng Wong
2024	J	`jnl`	Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator. CoRR Thinh Nguyen, Khoa D. Doan, Binh T. Nguyen, Danh Le Phuoc, Kok-Seng Wong
2024	J	`jnl`	Towards Clean-Label Backdoor Attacks in the Physical World. CoRR Thinh Dao, Cuong Chi Le, Khoa D. Doan, Kok-Seng Wong
2024	A*	`conf`	Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks. ICLR Nguyen Hung-Quang, Yingjie Lao, Tung Pham, Kok-Seng Wong, Khoa D. Doan
2024	J	`jnl`	Unveiling Concept Attribution in Diffusion Models. CoRR Quang H. Nguyen, Hoang Phan, Khoa D. Doan
2024	J	`jnl`	Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning. CoRR Son Nguyen, Thinh Nguyen, Khoa D. Doan, Kok-Seng Wong
2024	J	`jnl`	Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks. CoRR Quang H. Nguyen, Ngoc-Hieu Nguyen, The-Anh Ta, Thanh Nguyen-Tang, Kok-Seng Wong, Hoang Thanh-Tung, Khoa D. Doan
2023	J	`jnl`	A Cosine Similarity-based Method for Out-of-Distribution Detection. CoRR Hieu Ngoc Nguyen, Nguyen Hung-Quang, The-Anh Ta, Thanh Nguyen-Tang, Khoa D. Doan, Hoang Thanh-Tung
2023	A*	`conf`	Asymmetric Hashing for Fast Ranking via Neural Network Measures. SIGIR Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li
2023	J	`jnl`	Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions. CoRR Thuy Dung Nguyen, Tuan Nguyen, Phi Le Nguyen, Hieu H. Pham, Khoa D. Doan, Kok-Seng Wong
2023	A*	`conf`	Defending Backdoor Attacks on Vision Transformer via Patch Processing. AAAI Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li
2023	C	`conf`	Empirical Study of Federated Unlearning: Efficiency and Effectiveness. ACML Thai-Hung Nguyen, Hong-Phuc Vu, Thuy Dung Nguyen, Tuan Minh Nguyen, Khoa D. Doan, Kok-Seng Wong
2023	J	`jnl`	Everyone Can Attack: Repurpose Lossy Compression as a Natural Backdoor Attack. CoRR Sze Jue Yang, Quang H. Nguyen, Chee Seng Chan, Khoa D. Doan
2023	J	`jnl`	Fooling the Textual Fooler via Randomizing Latent Representations. CoRR Duy C. Hoang, Quang H. Nguyen, Saurav Manchanda, Minlong Peng, Kok-Seng Wong, Khoa D. Doan
2023	A*	`conf`	IBA: Towards Irreversible Backdoor Attacks in Federated Learning. NeurIPS Thuy Dung Nguyen, Tuan Nguyen, Anh Tran, Khoa D. Doan, Kok-Seng Wong
2023	J	`jnl`	Synthesizing Physical Backdoor Datasets: An Automated Framework Leveraging Deep Generative Models. CoRR Sze Jue Yang, Chinh D. La, Quang H. Nguyen, Eugene Bagdasaryan, Kok-Seng Wong, Anh Tuan Tran, Chee Seng Chan, Khoa D. Doan
2023	J	`jnl`	Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks. CoRR Quang H. Nguyen, Yingjie Lao, Tung Pham, Kok-Seng Wong, Khoa D. Doan
2022	J	`jnl`	Asymmetric Hashing for Fast Ranking via Neural Network Measures. CoRR Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li
2022	J	`jnl`	CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing. CoRR Khoa D. Doan, Jianwen Xie, Yaxuan Zhu, Yang Zhao, Ping Li
2022	J	`jnl`	Defending Backdoor Attacks on Vision Transformer via Patch Processing. CoRR Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li
2022	A*	`conf`	Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class. NeurIPS Khoa D. Doan, Yingjie Lao, Ping Li
2022	J	`jnl`	Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class. CoRR Khoa D. Doan, Yingjie Lao, Ping Li
2022	A*	`conf`	One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching. CVPR Khoa D. Doan, Peng Yang, Ping Li
2022	J	`jnl`	One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching. CoRR Khoa D. Doan, Peng Yang, Ping Li
2022	—	`conf`	Unified Energy-Based Generative Network for Supervised Image Hashing. ACCV (6) Khoa D. Doan, Sarkhan Badirli, Chandan K. Reddy
2021	A*	`conf`	Backdoor Attack with Imperceptible Input and Latent Modification. NeurIPS Khoa D. Doan, Yingjie Lao, Ping Li
2021	—	`—`	Generative models meet similarity search: efficient, heuristic-free and robust retrieval. Khoa D. Doan
2021	A*	`conf`	Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings. SIGIR Khoa D. Doan, Saurav Manchanda, Suchismit Mahapatra, Chandan K. Reddy
2021	A*	`conf`	LIRA: Learnable, Imperceptible and Robust Backdoor Attacks. ICCV Khoa D. Doan, Yingjie Lao, Weijie Zhao, Ping Li
2020	A*	`conf`	Efficient Implicit Unsupervised Text Hashing using Adversarial Autoencoder. WWW Khoa D. Doan, Chandan K. Reddy
2020	J	`jnl`	Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space. CoRR Khoa D. Doan, Saurav Manchanda, Fengjiao Wang, S. Sathiya Keerthi, Avradeep Bhowmik, Chandan K. Reddy
2020	J	`jnl`	Image Hashing by Minimizing Independent Relaxed Wasserstein Distance. CoRR Khoa D. Doan, Amir Kimiyaie, Saurav Manchanda, Chandan K. Reddy
2020	J	`jnl`	Regression via Implicit Models and Optimal Transport Cost Minimization. CoRR Saurav Manchanda, Khoa D. Doan, Pranjul Yadav, S. Sathiya Keerthi
2020	J	`jnl`	Targeted display advertising: the case of preferential attachment. CoRR Saurav Manchanda, Pranjul Yadav, Khoa D. Doan, S. Sathiya Keerthi
2019	A	`conf`	Adversarial Factorization Autoencoder for Look-alike Modeling. CIKM Khoa D. Doan, Pranjul Yadav, Chandan K. Reddy
2019	—	`conf`	An Attentive Spatio-Temporal Neural Model for Successive Point of Interest Recommendation. PAKDD (3) Khoa D. Doan, Guolei Yang, Chandan K. Reddy
2019	—	`conf`	Targeted display advertising: the case of preferential attachment. IEEE BigData Saurav Manchanda, Pranjul Yadav, Khoa D. Doan, S. Sathiya Keerthi
2016	—	`conf`	Evaluating the impact of data placement to spark and SciDB with an Earth Science use case. IEEE BigData Khoa D. Doan, Amidu O. Oloso, Kwo-Sen Kuo, Thomas L. Clune, Hongfeng Yu, Brian Nelson, Jian Zhang
2016	C	`conf`	Implications of data placement strategy to Big Data technologies based on shared-nothing architecture for geosciences. IGARSS Kwo-Sen Kuo, Amidu Oloso, Khoa D. Doan, Thomas L. Clune, Hongfeng Yu