Qiyao Liang - RankMe

12 papers A* 2Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RQCMFuse: a reduced biquaternion-driven collaborative modeling network of infrared saliency and visible color-detail for infrared and visible image fusion. Inf. Fusion Shan Gai, Qiyao Liang, Yihao Ni
2026	J	`jnl`	The Blessing of Dimensionality in LLM Fine-tuning: A Variance-Curvature Perspective. CoRR Qiyao Liang, Jinyeop Song, Yizhou Liu, Jeff Gore, Ila Fiete, Risto Miikkulainen, Xin Qiu
2025	J	`jnl`	Compositional Generalization Requires More Than Disentangled Representations. CoRR Qiyao Liang, Daoyuan Qian, Liu Ziyin, Ila Fiete
2025	A*	`conf`	Compositional Generalization via Forced Rendering of Disentangled Latents. ICML Qiyao Liang, Daoyuan Qian, Liu Ziyin, Ila R. Fiete
2025	J	`jnl`	Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning. CoRR Xin Qiu, Yulu Gan, Conor F. Hayes, Qiyao Liang, Elliot Meyerson, Babak Hodjat, Risto Miikkulainen
2025	J	`jnl`	Modular connectivity in neural networks emerges from Poisson noise-motivated regularisation, and promotes robustness and compositional generalisation. CoRR Daoyuan Qian, Qiyao Liang, Ila Fiete
2025	J	`jnl`	SimNSD: Similar neighborhood-feature constraint for semi-supervised object detection. J. Frankl. Inst. Jian-Xun Mi, Yanjun Wu, Qiyao Liang, Yanyao Huang, Lifang Zhou
2024	J	`jnl`	Do Diffusion Models Learn Semantically Meaningful and Efficient Representations? CoRR Qiyao Liang, Ziming Liu, Ila Fiete
2024	A*	`conf`	How Diffusion Models Learn to Factorize and Compose. NeurIPS Qiyao Liang, Ziming Liu, Mitchell Ostrow, Ila Fiete
2024	J	`jnl`	How Diffusion Models Learn to Factorize and Compose. CoRR Qiyao Liang, Ziming Liu, Mitchell Ostrow, Ila Fiete
2022	J	`jnl`	Removal and Recovery of the Human Invisible Region. Symmetry Qian Zhang, Qiyao Liang, Hong Liang, Ying Yang
2021	J	`jnl`	Transformed Dynamic Feature Pyramid for Small Object Detection. IEEE Access Hong Liang, Ying Yang, Qian Zhang, Linxia Feng, Jie Ren, Qiyao Liang