Yixing Xu - RankMe

51 papers A* 19B 1Journal 30Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Learnable Permutation for Structured Sparsity on Transformer Models. AAAI Zekai Li, Ji Liu, Guanchen Li, Yixing Xu, Ziqiong Liu, Xuanwu Yin, Dong Li, Emad Barsoum
2026	J	`jnl`	Learnable Permutation for Structured Sparsity on Transformer Models. CoRR Zekai Li, Ji Liu, Guanchen Li, Yixing Xu, Ziqiong Liu, Xuanwu Yin, Dong Li, Emad Barsoum
2026	A*	`conf`	SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning. AAAI Huanxuan Liao, Yixing Xu, Shizhu He, Guanchen Li, Xuanwu Yin, Dong Li, Emad Barsoum, Jun Zhao, Kang Liu
2025	J	`jnl`	Dual LoRA: Enhancing LoRA with Magnitude and Direction Updates. CoRR Yixing Xu, Chao Li, Xuanwu Yin, Spandan Tiwari, Dong Li, Ashish Sirasao, Emad Barsoum
2025	B	`conf`	Enhancing One-Shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism. COLING Guanchen Li, Xiandong Zhao, Lian Liu, Zeping Li, Yixing Xu, Dong Li, Lu Tian, Jie He, Ashish Sirasao, Emad Barsoum
2025	A*	`conf`	Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding. ICML Jinze Li, Yixing Xu, Haiduo Huang, Xuanwu Yin, Dong Li, Edith C. H. Ngai, Emad Barsoum
2025	J	`jnl`	Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding. CoRR Jinze Li, Yixing Xu, Haiduo Huang, Xuanwu Yin, Dong Li, Edith C. H. Ngai, Emad Barsoum
2025	J	`jnl`	Jakiro: Boosting Speculative Decoding with Decoupled Multi-Head via MoE. CoRR Haiduo Huang, Fuwei Yang, Zhenhua Liu, Yixing Xu, Jinze Li, Yang Liu, Xuanwu Yin, Dong Li, Pengju Ren, Emad Barsoum
2025	J	`jnl`	MSWA: Refining Local Attention with Multi-ScaleWindow Attention. CoRR Yixing Xu, Shivank Nag, Dong Li, Lu Tian, Emad Barsoum
2025	J	`jnl`	Optimizing Ride-Pooling Operations with Extended Pickup and Drop-Off Flexibility. CoRR Hao Jiang, Yixing Xu, Pradeep Varakantham
2025	J	`jnl`	SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning. CoRR Huanxuan Liao, Yixing Xu, Shizhu He, Guanchen Li, Xuanwu Yin, Dong Li, Emad Barsoum, Jun Zhao, Kang Liu
2025	J	`jnl`	Training-Free Loosely Speculative Decoding: Accepting Semantically Correct Drafts Beyond Exact Match. CoRR Jinze Li, Yixing Xu, Guanchen Li, Shuo Yang, Jinfeng Xu, Xuanwu Yin, Dong Li, Edith C. H. Ngai, Emad Barsoum
2025	J	`jnl`	Týr-the-Pruner: Unlocking Accurate 50% Structural Pruning for LLMs via Global Sparsity Distribution Optimization. CoRR Guanchen Li, Yixing Xu, Zeping Li, Ji Liu, Xuanwu Yin, Dong Li, Emad Barsoum
2024	A*	`conf`	Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module. ICML Yixing Xu, Chao Li, Dong Li, Xiao Sheng, Fan Jiang, Lu Tian, Ashish Sirasao, Emad Barsoum
2024	A*	`conf`	QT-ViT: Improving Linear Attention in ViT with Quadratic Taylor Expansion. NeurIPS Yixing Xu, Chao Li, Dong Li, Xiao Sheng, Fan Jiang, Lu Tian, Emad Barsoum
2023	J	`jnl`	A Survey on Vision Transformer. IEEE Trans. Pattern Anal. Mach. Intell. Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao
2023	A*	`conf`	FDViT: Improve the Hierarchical Architecture of Vision Transformer. ICCV Yixing Xu, Chao Li, Dong Li, Xiao Sheng, Fan Jiang, Lu Tian, Ashish Sirasao
2023	—	`conf`	Towards closing the data gap: A project-driven distributed energy resource dataset for the U.S. Grid. e-Energy (Companion) Rabab Haider, Yixing Xu, Weiwei Yang
2022	J	`jnl`	A 2030 United States Macro Grid Unlocking Geographical Diversity to Accomplish Clean Energy Goals. CoRR Yixing Xu, Daniel Olsen, Bainan Xia, Dan Livengood, Victoria Hunt, Yifan Li, Lane D. Smith
2022	A*	`conf`	BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons. NeurIPS Yixing Xu, Xinghao Chen, Yunhe Wang
2022	J	`jnl`	BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons. CoRR Yixing Xu, Xinghao Chen, Yunhe Wang
2022	A*	`conf`	Federated Learning with Positive and Unlabeled Data. ICML Xinyang Lin, Hanting Chen, Yixing Xu, Chao Xu, Xiaolin Gui, Yiping Deng, Yunhe Wang
2022	J	`jnl`	How Much Demand Flexibility Could Have Spared Texas from the 2021 Outage? CoRR Dongqi Wu, Xiangtian Zheng, Ali Menati, Lane D. Smith, Bainan Xia, Yixing Xu, Chanan Singh, Le Xie
2022	J	`jnl`	Neural architecture tuning with policy adaptation. Neurocomputing Yanxi Li, Minjing Dong, Yixing Xu, Yunhe Wang, Chang Xu
2022	A*	`conf`	Source-Free Domain Adaptation via Distribution Estimation. CVPR Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao
2022	J	`jnl`	Source-Free Domain Adaptation via Distribution Estimation. CoRR Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao
2021	J	`jnl`	Federated Learning with Positive and Unlabeled Data. CoRR Xinyang Lin, Hanting Chen, Yixing Xu, Chao Xu, Xiaolin Gui, Yiping Deng, Yunhe Wang
2021	A*	`conf`	Learning Frequency Domain Approximation for Binary Neural Networks. NeurIPS Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
2021	J	`jnl`	Learning Frequency Domain Approximation for Binary Neural Networks. CoRR Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
2021	A*	`conf`	Manifold Regularized Dynamic Network Pruning. CVPR Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu
2021	J	`jnl`	Manifold Regularized Dynamic Network Pruning. CoRR Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu
2021	A*	`conf`	ReNAS: Relativistic Evaluation of Neural Architecture Search. CVPR Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu
2020	A*	`conf`	A Semi-Supervised Assessor of Neural Architectures. CVPR Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu
2020	J	`jnl`	A Semi-Supervised Assessor of Neural Architectures. CoRR Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu
2020	J	`jnl`	A Survey on Visual Transformer. CoRR Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao
2020	A*	`conf`	Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. AAAI Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu
2020	J	`jnl`	Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. CoRR Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu
2020	J	`jnl`	DC-NAS: Divide-and-Conquer Neural Architecture Search. CoRR Yunhe Wang, Yixing Xu, Dacheng Tao
2020	A*	`conf`	Kernel Based Progressive Distillation for Adder Neural Networks. NeurIPS Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang
2020	J	`jnl`	Kernel Based Progressive Distillation for Adder Neural Networks. CoRR Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang
2020	A*	`conf`	SCOP: Scientific Control for Reliable Neural Network Pruning. NeurIPS Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu
2020	J	`jnl`	SCOP: Scientific Control for Reliable Neural Network Pruning. CoRR Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu
2020	A*	`conf`	Training Binary Neural Networks through Learning with Noisy Supervision. ICML Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu
2020	J	`jnl`	Training Binary Neural Networks through Learning with Noisy Supervision. CoRR Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu
2020	J	`jnl`	VEGA: Towards an End-to-End Configurable AutoML Pipeline. CoRR Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Yixing Xu, Xiaozhi Fang, Ning Kang, Lanqing Hong, Chenhan Jiang, Xinyue Cai, Jiawei Li, Fengwei Zhou, Yong Li, Zhicheng Liu, Xinghao Chen, Kai Han, Han Shu, Dehua Song, Yunhe Wang, Wei Zhang, Chunjing Xu, Zhenguo Li, Wenzhi Liu, Tong Zhang
2019	J	`jnl`	Full-Stack Filters to Build Minimum Viable CNNs. CoRR Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Dacheng Tao, Chang Xu
2019	A*	`conf`	Positive-Unlabeled Compression on the Cloud. NeurIPS Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu
2019	J	`jnl`	Positive-Unlabeled Compression on the Cloud. CoRR Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu
2019	J	`jnl`	RNAS: Architecture Ranking for Powerful Networks. CoRR Yixing Xu, Yunhe Wang, Kai Han, Hanting Chen, Yehui Tang, Shangling Jui, Chunjing Xu, Qi Tian, Chang Xu
2017	A*	`conf`	Multi-Positive and Unlabeled Learning. IJCAI Yixing Xu, Chang Xu, Chao Xu, Dacheng Tao
2014	J	`jnl`	Power System Reliability Impact of Energy Storage Integration With Intelligent Operation Strategy. IEEE Trans. Smart Grid Yixing Xu, Chanan Singh