Yingcong Li - RankMe

30 papers A* 8A 2Misc 1Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	BREAD: Branched Rollouts from Expert Anchors Bridge SFT & RL for Reasoning. CoRR Xuechen Zhang, Zijian Huang, Yingcong Li, Chenshun Ni, Jiasi Chen, Samet Oymak
2025	J	`jnl`	Gating is Weighting: Understanding Gated Linear Attention through In-context Learning. CoRR Yingcong Li, Davoud Ataee Tarzanagh, Ankit Singh Rawat, Maryam Fazel, Samet Oymak
2025	J	`jnl`	Intelligent Optimization Setting of Froth Velocity by Integrating Multi-Source Flotation Operation Information. IEEE Trans Autom. Sci. Eng. Ming Lu, Xianke He, Yingcong Li, Lei He, Ying Zou, Zunhui Yi, Pei Li
2025	A	`conf`	Provable Benefits of Task-Specific Prompts for In-context Learning. AISTATS Xiangyu Chang, Yingcong Li, Muti Kara, Samet Oymak, Amit Roy-Chowdhury
2025	J	`jnl`	Provable Benefits of Task-Specific Prompts for In-context Learning. CoRR Xiangyu Chang, Yingcong Li, Muti Kara, Samet Oymak, Amit K. Roy-Chowdhury
2025	J	`jnl`	When and How Unlabeled Data Provably Improve In-Context Learning. CoRR Yingcong Li, Xiangyu Chang, Muti Kara, Xiaofeng Liu, Amit K. Roy-Chowdhury, Samet Oymak
2024	A*	`conf`	Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond. NeurIPS Yingcong Li, Ankit Singh Rawat, Samet Oymak
2024	J	`jnl`	Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond. CoRR Yingcong Li, Ankit Singh Rawat, Samet Oymak
2024	A*	`conf`	From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers. ICML Muhammed Emrullah Ildiz, Yixiao Huang, Yingcong Li, Ankit Singh Rawat, Samet Oymak
2024	J	`jnl`	From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers. CoRR Muhammed Emrullah Ildiz, Yixiao Huang, Yingcong Li, Ankit Singh Rawat, Samet Oymak
2024	A	`conf`	Mechanics of Next Token Prediction with Self-Attention. AISTATS Yingcong Li, Yixiao Huang, Muhammed Emrullah Ildiz, Ankit Singh Rawat, Samet Oymak
2024	J	`jnl`	Mechanics of Next Token Prediction with Self-Attention. CoRR Yingcong Li, Yixiao Huang, Muhammed Emrullah Ildiz, Ankit Singh Rawat, Samet Oymak
2023	J	`jnl`	Dissecting Chain-of-Thought: A Study on Compositional In-Context Learning of MLPs. CoRR Yingcong Li, Kartik Sreenivasan, Angeliki Giannou, Dimitris S. Papailiopoulos, Samet Oymak
2023	A*	`conf`	Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning. NeurIPS Yingcong Li, Kartik Sreenivasan, Angeliki Giannou, Dimitris Papailiopoulos, Samet Oymak
2023	A*	`conf`	Max-Margin Token Selection in Attention Mechanism. NeurIPS Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak
2023	J	`jnl`	Max-Margin Token Selection in Attention Mechanism. CoRR Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak
2023	Misc	`conf`	On The Fairness of Multitask Representation Learning. ICASSP Yingcong Li, Samet Oymak
2023	A*	`conf`	Provable Pathways: Learning Multiple Tasks over Multiple Paths. AAAI Yingcong Li, Samet Oymak
2023	J	`jnl`	Provable Pathways: Learning Multiple Tasks over Multiple Paths. CoRR Yingcong Li, Samet Oymak
2023	A*	`conf`	Stochastic Contextual Bandits with Long Horizon Rewards. AAAI Yuzhen Qin, Yingcong Li, Fabio Pasqualetti, Maryam Fazel, Samet Oymak
2023	J	`jnl`	Stochastic Contextual Bandits with Long Horizon Rewards. CoRR Yuzhen Qin, Yingcong Li, Fabio Pasqualetti, Maryam Fazel, Samet Oymak
2023	J	`jnl`	Transformers as Algorithms: Generalization and Implicit Model Selection in In-context Learning. CoRR Yingcong Li, Muhammed Emrullah Ildiz, Dimitris S. Papailiopoulos, Samet Oymak
2023	A*	`conf`	Transformers as Algorithms: Generalization and Stability in In-context Learning. ICML Yingcong Li, Muhammed Emrullah Ildiz, Dimitris Papailiopoulos, Samet Oymak
2023	J	`jnl`	Transformers as Support Vector Machines. CoRR Davoud Ataee Tarzanagh, Yingcong Li, Christos Thrampoulidis, Samet Oymak
2022	J	`jnl`	Confident Clustering via PCA Compression Ratio and Its Application to Single-cell RNA-seq Analysis. CoRR Yingcong Li, Chandra Sekhar Mukherjee, Jiapeng Zhang
2022	J	`jnl`	Provable and Efficient Continual Representation Learning. CoRR Yingcong Li, Mingchen Li, M. Salman Asif, Samet Oymak
2021	A*	`conf`	Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. AAAI Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis
2020	J	`jnl`	Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. CoRR Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis
2019	—	`conf`	Leveraging Multilayer Telemetry to Realize AI-assisted Service Provisioning in IP over Elastic Optical Networks: (Invited Paper). OECC/PSC Zuqing Zhu, Bin Niu, Jiawei Kong, Shaofei Tang, Yingcong Li, Hongqiang Fang, Wei Lu
2019	J	`jnl`	Visualize Your IP-Over-Optical Network in Realtime: A P4-Based Flexible Multilayer In-Band Network Telemetry (ML-INT) System. IEEE Access Bin Niu, Jiawei Kong, Shaofei Tang, Yingcong Li, Zuqing Zhu