Hoang Phan - RankMe

30 papers A* 4A 1C 1Journal 21Unranked 3

Year	Rank	Type	Title / Venue / Authors
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
2025	J	`jnl`	Beyond Reasoning Gains: Mitigating General Capabilities Forgetting in Large Reasoning Models. CoRR Hoang Phan, Xianjun Yang, Kevin Yao, Jingyu Zhang, Shengjie Bi, Xiaocheng Tang, Madian Khabsa, Lijuan Liu, Deren Lei
2025	J	`jnl`	Hyperparameter Transfer Enables Consistent Gains of Matrix-Preconditioned Optimizers Across Scales. CoRR Shikai Qiu, Zixi Chen, Hoang Phan, Qi Lei, Andrew Gordon Wilson
2025	—	`conf`	PLVM: A tuning-free approach for Personalized Large Vision-Language Model. CVPR Workshops Chau Pham, Hoang Phan, David S. Doermann, Yunjie Tian
2025	A*	`conf`	Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation. CVPR Tung-Long Vuong, Hoang Phan, Vy Vo, Anh Bui, Thanh-Toan Do, Trung Le, Dinh Phung
2025	J	`jnl`	Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation. CoRR Tung-Long Vuong, Hoang Phan, Vy Vo, Anh Bui, Thanh-Toan Do, Trung Le, Dinh Q. Phung
2025	—	`conf`	Think Twice, Generate Once: Safeguarding by Progressive Self-Reflection. EMNLP (Findings) Hoang Phan, Victor Li, Qi Lei
2025	J	`jnl`	Think Twice, Generate Once: Safeguarding by Progressive Self-Reflection. CoRR Hoang Phan, Victor Li, Qi Lei
2025	J	`jnl`	Toward a Holistic Approach to Continual Model Merging. CoRR Hoang Phan, Sungmin Cha, Tung Lam Tran, Qi Lei
2024	A*	`conf`	Controllable Prompt Tuning For Balancing Group Distributional Robustness. ICML Hoang Phan, Andrew Gordon Wilson, Qi Lei
2024	J	`jnl`	Controllable Prompt Tuning For Balancing Group Distributional Robustness. CoRR Hoang Phan, Andrew Gordon Wilson, Qi Lei
2024	J	`jnl`	DiMSUM: Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation. CoRR Hao Phung, Quan Dao, Trung Tuan Dao, Hoang Phan, Dimitris N. Metaxas, Anh Tuan Tran
2024	J	`jnl`	Enhancing Domain Adaptation through Prompt Gradient Alignment. CoRR Hoang Phan, Lam Tran, Quyen Tran, Trung Le
2024	J	`jnl`	Personalized Large Vision-Language Models. CoRR Chau Pham, Hoang Phan, David S. Doermann, Yunjie Tian
2024	J	`jnl`	Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning. CoRR Yijun Dong, Hoang Phan, Xiang Pan, Qi Lei
2024	J	`jnl`	Unveiling Concept Attribution in Diffusion Models. CoRR Quang H. Nguyen, Hoang Phan, Khoa D. Doan
2023	A*	`conf`	Flat Seeking Bayesian Neural Networks. NeurIPS Van-Anh Nguyen, Tung-Long Vuong, Hoang Phan, Thanh-Toan Do, Dinh Q. Phung, Trung Le
2023	J	`jnl`	Flat Seeking Bayesian Neural Networks. CoRR Van-Anh Nguyen, Long Tung Vuong, Hoang Phan, Thanh-Toan Do, Dinh Q. Phung, Trung Le
2023	J	`jnl`	Full High-Dimensional Intelligible Learning In 2-D Lossless Visualization Space. CoRR Boris Kovalerchuk, Hoang Phan
2023	A	`conf`	Global-Local Regularization Via Distributional Robustness. AISTATS Hoang Phan, Trung Le, Trung Phung, Anh Tuan Bui, Nhat Ho, Dinh Q. Phung
2023	J	`jnl`	Robust Contrastive Learning With Theory Guarantee. CoRR Ngoc N. Tran, Lam Tran, Hoang Phan, Anh Tuan Bui, Tung Pham, Toan Tran, Dinh Q. Phung, Trung Le
2023	J	`jnl`	Sharpness & Shift-Aware Self-Supervised Learning. CoRR Ngoc N. Tran, Son Duong, Hoang Phan, Tung Pham, Dinh Q. Phung, Trung Le
2022	J	`jnl`	Continual Learning with Optimal Transport based Mixture Model. CoRR Quyen Tran, Hoang Phan, Khoat Than, Dinh Q. Phung, Trung Le
2022	J	`jnl`	Global-Local Regularization Via Distributional Robustness. CoRR Hoang Phan, Trung Le, Trung Phung, Tuan-Anh Bui, Nhat Ho, Dinh Q. Phung
2022	J	`jnl`	Improving Multi-task Learning via Seeking Task-based Flat Regions. CoRR Hoang Phan, Lam Tran, Ngoc N. Tran, Nhat Ho, Dinh Q. Phung, Trung Le
2022	—	`conf`	Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation. PAKDD (1) Hoang Phan, Anh Phan Tuan, Son Nguyen, Ngo Van Linh, Khoat Than
2022	A*	`conf`	Stochastic Multiple Target Sampling Gradient Descent. NeurIPS Hoang Phan, Ngoc Tran, Trung Le, Toan Tran, Nhat Ho, Dinh Phung
2022	J	`jnl`	Stochastic Multiple Target Sampling Gradient Descent. CoRR Hoang Phan, Ngoc Tran, Trung Le, Toan Tran, Nhat Ho, Dinh Phung
2021	C	`conf`	Full interpretable machine learning in 2D with inline coordinates. IV Boris Kovalerchuk, Hoang Phan
2021	J	`jnl`	Full interpretable machine learning in 2D with inline coordinates. CoRR Boris Kovalerchuk, Hoang Phan