Xinchi Qiu - RankMe

43 papers A* 7A 2Journal 31Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning? AAAI Zexi Li, Xiangzhu Wang, William F. Shen, Meghdad Kurmanji, Xinchi Qiu, Dongqi Cai, Chao Wu, Nicholas D. Lane
2026	J	`jnl`	LoRDO: Distributed Low-Rank Optimization with Infrequent Communication. CoRR Andrej Jovanovic, Alex Iacob, Mher Safaryan, Ionut-Vlad Modoranu, Lorenzo Sani, William F. Shen, Xinchi Qiu, Dan Alistarh, Nicholas D. Lane
2026	J	`jnl`	Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks. CoRR William F. Shen, Xinchi Qiu, Chenxi Whitehouse, Lisa Alazraki, Shashwat Goel, Francesco Barbieri, Timon Willi, Akhil Mathur, Ilias Leontiadis
2025	J	`jnl`	AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling. CoRR Preslav Aleksandrov, Meghdad Kurmanji, Fernando García-Redondo, David O'Shea, William F. Shen, Alex Iacob, Lorenzo Sani, Xinchi Qiu, Nicola Cancedda, Nicholas D. Lane
2025	J	`jnl`	Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages. CoRR Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas D. Lane
2025	A*	`conf`	DEPT: Decoupled Embeddings for Pre-training Language Models. ICLR Alex Iacob, Lorenzo Sani, Meghdad Kurmanji, William F. Shen, Xinchi Qiu, Dongqi Cai, Yan Gao, Nicholas Donald Lane
2025	J	`jnl`	DES-LOC: Desynced Low Communication Adaptive Optimizers for Training Foundation Models. CoRR Alex Iacob, Lorenzo Sani, Mher Safaryan, Paris Giampouras, Samuel Horváth, Andrej Jovanovic, Meghdad Kurmanji, Preslav Aleksandrov, William F. Shen, Xinchi Qiu, Nicholas D. Lane
2025	J	`jnl`	Don't Make It Up: Preserving Ignorance Awareness in LLM Fine-Tuning. CoRR William F. Shen, Xinchi Qiu, Nicola Cancedda, Nicholas D. Lane
2025	J	`jnl`	Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning? CoRR Zexi Li, Xiangzhu Wang, William F. Shen, Meghdad Kurmanji, Xinchi Qiu, Dongqi Cai, Chao Wu, Nicholas D. Lane
2025	J	`jnl`	Hallucination reduction with CASAL: Contrastive Activation Steering For Amortized Learning. CoRR Wannan Yang, Xinchi Qiu, Lei Yu, Yuchen Zhang, Oliver Aobo Yang, Narine Kokhlikyan, Nicola Cancedda, Diego Garcia-Olano
2025	J	`jnl`	LUNAR: LLM Unlearning via Neural Activation Redirection. CoRR William F. Shen, Xinchi Qiu, Meghdad Kurmanji, Alex Iacob, Lorenzo Sani, Yihong Chen, Nicola Cancedda, Nicholas D. Lane
2025	J	`jnl`	MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates. CoRR Alex Iacob, Andrej Jovanovic, Mher Safaryan, Meghdad Kurmanji, Lorenzo Sani, Samuel Horváth, William F. Shen, Xinchi Qiu, Nicholas D. Lane
2025	—	`conf`	Photon: Federated LLM Pre-Training. MLSys Lorenzo Sani, Alex Iacob, Zeyu Cao, Royson Lee, Bill Marino, Yan Gao, Wanru Zhao, Dongqi Cai, Zexi Li, Xinchi Qiu, Nicholas D. Lane
2024	A*	`conf`	Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages. ICLR Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas Donald Lane
2024	J	`jnl`	DEPT: Decoupled Embeddings for Pre-training Language Models. CoRR Alex Iacob, Lorenzo Sani, Meghdad Kurmanji, William F. Shen, Xinchi Qiu, Dongqi Cai, Yan Gao, Nicholas D. Lane
2024	A*	`conf`	FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation. KDD Tong Xia, Abhirup Ghosh, Xinchi Qiu, Cecilia Mascolo
2024	J	`jnl`	FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients. CoRR Xinchi Qiu, Yan Gao, Lorenzo Sani, Heng Pan, Wanru Zhao, Pedro P. B. de Gusmao, Mina Alibeigi, Alex Iacob, Nicholas D. Lane
2024	J	`jnl`	PISTOL: Dataset Compilation Pipeline for Structural Unlearning of LLMs. CoRR Xinchi Qiu, William F. Shen, Yihong Chen, Nicola Cancedda, Pontus Stenetorp, Nicholas D. Lane
2024	J	`jnl`	Photon: Federated LLM Pre-Training. CoRR Lorenzo Sani, Alex Iacob, Zeyu Cao, Royson Lee, Bill Marino, Yan Gao, Dongqi Cai, Zexi Li, Wanru Zhao, Xinchi Qiu, Nicholas D. Lane
2024	J	`jnl`	Sheaf HyperNetworks for Personalized Federated Learning. CoRR Bao Nguyen, Lorenzo Sani, Xinchi Qiu, Pietro Liò, Nicholas D. Lane
2024	J	`jnl`	The Future of Large Language Model Pre-training is Federated. CoRR Lorenzo Sani, Alex Iacob, Zeyu Cao, Bill Marino, Yan Gao, Tomás Paulik, Wanru Zhao, William F. Shen, Preslav Aleksandrov, Xinchi Qiu, Nicholas D. Lane
2023	J	`jnl`	A First Look into the Carbon Footprint of Federated Learning. J. Mach. Learn. Res. Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Yan Gao, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane
2023	J	`jnl`	EXACT: Extensive Attack for Split Learning. CoRR Xinchi Qiu, Ilias Leontiadis, Luca Melis, Alexandre Sablayrolles, Pierre Stock
2023	J	`jnl`	Efficient Vertical Federated Learning with Secure Aggregation. CoRR Xinchi Qiu, Heng Pan, Wanru Zhao, Chenyang Ma, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
2023	A*	`conf`	FedL2P: Federated Learning to Personalize. NeurIPS Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszar, Nicholas D. Lane
2023	J	`jnl`	FedL2P: Federated Learning to Personalize. CoRR Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
2023	A*	`conf`	FedVal: Different good or different bad in federated learning. USENIX Security Symposium Viktor Valadi, Xinchi Qiu, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Mina Alibeigi
2023	J	`jnl`	FedVal: Different good or different bad in federated learning. CoRR Viktor Valadi, Xinchi Qiu, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Mina Alibeigi
2023	—	`conf`	Gradient-less Federated Gradient Boosting Tree with Learnable Learning Rates. EuroMLSys@EuroSys Chenyang Ma, Xinchi Qiu, Daniel J. Beutel, Nicholas D. Lane
2023	J	`jnl`	Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates. CoRR Chenyang Ma, Xinchi Qiu, Daniel J. Beutel, Nicholas D. Lane
2023	J	`jnl`	High-throughput Simulation of Federated Learning via Resource-Aware Client Placement. CoRR Lorenzo Sani, Pedro Porto Buarque de Gusmão, Alex Iacob, Wanru Zhao, Xinchi Qiu, Yan Gao, Javier Fernández-Marqués, Nicholas Donald Lane
2023	J	`jnl`	vFedSec: Efficient Secure Aggregation for Vertical Federated Learning via Secure Layer. CoRR Xinchi Qiu, Heng Pan, Wanru Zhao, Chenyang Ma, Pedro P. B. de Gusmao, Nicholas D. Lane
2022	J	`jnl`	Protea: Client Profiling within Federated Systems using Flower. CoRR Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
2022	—	`conf`	Protea: client profiling within federated systems using flower. FedEdge@MobiCom Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Nicholas D. Lane
2022	A*	`conf`	ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity. ICLR Xinchi Qiu, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Yan Gao, Titouan Parcollet, Nicholas Donald Lane
2022	J	`jnl`	ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity. CoRR Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Yan Gao, Titouan Parcollet, Nicholas Donald Lane
2021	J	`jnl`	A first look into the carbon footprint of federated learning. CoRR Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane
2021	J	`jnl`	On-device Federated Learning with Flower. CoRR Akhil Mathur, Daniel J. Beutel, Pedro Porto Buarque de Gusmão, Javier Fernández-Marqués, Taner Topal, Xinchi Qiu, Titouan Parcollet, Yan Gao, Nicholas D. Lane
2020	J	`jnl`	A first look into the carbon footprint of federated learning. CoRR Xinchi Qiu, Titouan Parcollet, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane
2020	J	`jnl`	Flower: A Friendly Federated Learning Research Framework. CoRR Daniel J. Beutel, Taner Topal, Akhil Mathur, Xinchi Qiu, Titouan Parcollet, Nicholas D. Lane
2020	A	`conf`	FusionRNN: Shared Neural Parameters for Multi-Channel Distant Speech Recognition. INTERSPEECH Titouan Parcollet, Xinchi Qiu, Nicholas D. Lane
2020	A	`conf`	Quaternion Neural Networks for Multi-Channel Distant Speech Recognition. INTERSPEECH Xinchi Qiu, Titouan Parcollet, Mirco Ravanelli, Nicholas D. Lane, Mohamed Morchid
2020	J	`jnl`	Quaternion Neural Networks for Multi-channel Distant Speech Recognition. CoRR Xinchi Qiu, Titouan Parcollet, Mirco Ravanelli, Nicholas D. Lane, Mohamed Morchid