Yi-Lin Sung - RankMe

29 papers A* 9A 1B 2C 1Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Dam: Dynamic Adapter Merging for Continual Video QA Learning. WACV Feng Cheng, Ziyang Wang, Yi-Lin Sung, Yan-Bo Lin, Mohit Bansal, Gedas Bertasius
2025	A*	`conf`	Glider: Global and Local Instruction-Driven Expert Router. EMNLP Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng, Yi-Lin Sung, Mohit Bansal, Tianlong Chen
2025	J	`jnl`	RSQ: Learning from Important Tokens Leads to Better Quantized LLMs. CoRR Yi-Lin Sung, Prateek Yadav, Jialu Li, Jaehong Yoon, Mohit Bansal
2025	J	`jnl`	Task-Circuit Quantization: Leveraging Knowledge Localization and Interpretability for Compression. CoRR Hanqi Xiao, Yi-Lin Sung, Elias Stengel-Eskin, Mohit Bansal
2025	J	`jnl`	Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation. CoRR Vaidehi Patil, Yi-Lin Sung, Peter Hase, Jie Peng, Tianlong Chen, Mohit Bansal
2024	J	`jnl`	DAM: Dynamic Adapter Merging for Continual Video QA Learning. CoRR Feng Cheng, Ziyang Wang, Yi-Lin Sung, Yan-Bo Lin, Mohit Bansal, Gedas Bertasius
2024	A*	`conf`	ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models. ICLR Yi-Lin Sung, Jaehong Yoon, Mohit Bansal
2024	J	`jnl`	Glider: Global and Local Instruction-Driven Expert Router. CoRR Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng, Yi-Lin Sung, Mohit Bansal, Tianlong Chen
2024	A*	`conf`	Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy. ICLR Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen
2024	A*	`conf`	SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data. NeurIPS Jialu Li, Jaemin Cho, Yi-Lin Sung, Jaehong Yoon, Mohit Bansal
2024	J	`jnl`	SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data. CoRR Jialu Li, Jaemin Cho, Yi-Lin Sung, Jaehong Yoon, Mohit Bansal
2024	J	`jnl`	Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation. Trans. Mach. Learn. Res. Vaidehi Patil, Yi-Lin Sung, Peter Hase, Jie Peng, Tianlong Chen, Mohit Bansal
2023	—	`conf`	An Empirical Study of Multimodal Model Merging. EMNLP (Findings) Yi-Lin Sung, Linjie Li, Kevin Lin, Zhe Gan, Mohit Bansal, Lijuan Wang
2023	J	`jnl`	An Empirical Study of Multimodal Model Merging. CoRR Yi-Lin Sung, Linjie Li, Kevin Lin, Zhe Gan, Mohit Bansal, Lijuan Wang
2023	J	`jnl`	ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models. CoRR Yi-Lin Sung, Jaehong Yoon, Mohit Bansal
2023	J	`jnl`	Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy. CoRR Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen
2023	A*	`conf`	Unified Coarse-to-Fine Alignment for Video-Text Retrieval. ICCV Ziyang Wang, Yi-Lin Sung, Feng Cheng, Gedas Bertasius, Mohit Bansal
2023	J	`jnl`	Unified Coarse-to-Fine Alignment for Video-Text Retrieval. CoRR Ziyang Wang, Yi-Lin Sung, Feng Cheng, Gedas Bertasius, Mohit Bansal
2023	A*	`conf`	Vision Transformers are Parameter-Efficient Audio-Visual Learners. CVPR Yan-Bo Lin, Yi-Lin Sung, Jie Lei, Mohit Bansal, Gedas Bertasius
2022	A*	`conf`	LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning. NeurIPS Yi-Lin Sung, Jaemin Cho, Mohit Bansal
2022	J	`jnl`	LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning. CoRR Yi-Lin Sung, Jaemin Cho, Mohit Bansal
2022	A*	`conf`	VL-ADAPTER: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks. CVPR Yi-Lin Sung, Jaemin Cho, Mohit Bansal
2022	J	`jnl`	Vision Transformers are Parameter-Efficient Audio-Visual Learners. CoRR Yan-Bo Lin, Yi-Lin Sung, Jie Lei, Mohit Bansal, Gedas Bertasius
2021	B	`conf`	The Maximum a Posterior Estimation of Darts. ICIP Jun-Liang Lin, Yi-Lin Sung, Cheng-Yao Hong, Han-Hung Lee, Tyng-Luh Liu
2021	A*	`conf`	Training Neural Networks with Fixed Sparse Masks. NeurIPS Yi-Lin Sung, Varun Nair, Colin Raffel
2021	J	`jnl`	Training Neural Networks with Fixed Sparse Masks. CoRR Yi-Lin Sung, Varun Nair, Colin Raffel
2021	J	`jnl`	VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks. CoRR Yi-Lin Sung, Jaemin Cho, Mohit Bansal
2020	B	`conf`	Video Summarization with Anchors and Multi-Head Attention. ICIP Yi-Lin Sung, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu
2013	C	`conf`	Outage probability of network-coding-based cooperative communication system. ICCE Yi-Lin Sung, Aldo W. Morales, Sedig S. Agili