Power System Reliability Impact of Energy Storage Integration With Intelligent Operation Strategy. - Yixing Xu; Chanan Singh (IEEE Trans. Smart Grid, 2014)

Multi-Positive and Unlabeled Learning. - Yixing Xu; Chang Xu 002; Chao Xu 006; Dacheng Tao (IJCAI, 2017)

Positive-Unlabeled Compression on the Cloud. - Yixing Xu; Yunhe Wang 001; Hanting Chen; Kai Han 002; Chunjing Xu; Dacheng Tao; Chang Xu 002 (NeurIPS, 2019)

Full-Stack Filters to Build Minimum Viable CNNs. - Kai Han 002; Yunhe Wang 001; Yixing Xu; Chunjing Xu; Dacheng Tao; Chang Xu 002 (CoRR, 2019)

RNAS: Architecture Ranking for Powerful Networks. - Yixing Xu; Yunhe Wang 001; Kai Han 002; Hanting Chen; Yehui Tang; Shangling Jui; Chunjing Xu; Qi Tian 001; Chang Xu 002 (CoRR, 2019)

Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. - Yehui Tang; Yunhe Wang 001; Yixing Xu; Boxin Shi; Chao Xu 006; Chunjing Xu; Chang Xu 002 (AAAI, 2020)

A Semi-Supervised Assessor of Neural Architectures. - Yehui Tang; Yunhe Wang 001; Yixing Xu; Hanting Chen; Boxin Shi; Chao Xu 006; Chunjing Xu; Qi Tian 001; Chang Xu 002 (CVPR, 2020)

Training Binary Neural Networks through Learning with Noisy Supervision. - Kai Han 002; Yunhe Wang 001; Yixing Xu; Chunjing Xu; Enhua Wu; Chang Xu 002 (ICML, 2020)

SCOP: Scientific Control for Reliable Neural Network Pruning. - Yehui Tang; Yunhe Wang 001; Yixing Xu; Dacheng Tao; Chunjing Xu; Chao Xu 006; Chang Xu 002 (NeurIPS, 2020)

Kernel Based Progressive Distillation for Adder Neural Networks. - Yixing Xu; Chang Xu 002; Xinghao Chen 001; Wei Zhang 196; Chunjing Xu; Yunhe Wang 001 (NeurIPS, 2020)

DC-NAS: Divide-and-Conquer Neural Architecture Search. - Yunhe Wang 001; Yixing Xu; Dacheng Tao (CoRR, 2020)

VEGA: Towards an End-to-End Configurable AutoML Pipeline. - Bochao Wang; Hang Xu 004; Jiajin Zhang; Chen Chen 077; Yixing Xu; Xiaozhi Fang; Ning Kang 001; Lanqing Hong; Chenhan Jiang; Xinyue Cai; Jiawei Li; Fengwei Zhou; et al. (CoRR, 2020)

A Survey on Visual Transformer. - Kai Han 002; Yunhe Wang 001; Hanting Chen; Xinghao Chen 001; Jianyuan Guo; Zhenhua Liu 003; Yehui Tang; An Xiao; Chunjing Xu; Yixing Xu; Zhaohui Yang 003; Yiman Zhang; et al. (CoRR, 2020)

Manifold Regularized Dynamic Network Pruning. - Yehui Tang; Yunhe Wang 001; Yixing Xu; Yiping Deng; Chao Xu 006; Dacheng Tao; Chang Xu 002 (CVPR, 2021)

ReNAS: Relativistic Evaluation of Neural Architecture Search. - Yixing Xu; Yunhe Wang 001; Kai Han 002; Yehui Tang; Shangling Jui; Chunjing Xu; Chang Xu 002 (CVPR, 2021)

Learning Frequency Domain Approximation for Binary Neural Networks. - Yixing Xu; Kai Han 002; Chang Xu 002; Yehui Tang; Chunjing Xu; Yunhe Wang 001 (NeurIPS, 2021)

Source-Free Domain Adaptation via Distribution Estimation. - Ning Ding; Yixing Xu; Yehui Tang; Chao Xu 006; Yunhe Wang 001; Dacheng Tao (CVPR, 2022)

Federated Learning with Positive and Unlabeled Data. - Xinyang Lin; Hanting Chen; Yixing Xu; Chao Xu 006; Xiaolin Gui; Yiping Deng; Yunhe Wang 001 (ICML, 2022)

BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons. - Yixing Xu; Xinghao Chen 001; Yunhe Wang 001 (NeurIPS, 2022)

How Much Demand Flexibility Could Have Spared Texas from the 2021 Outage? - Dongqi Wu; Xiangtian Zheng 002; Ali Menati; Lane D. Smith; Bainan Xia; Yixing Xu; Chanan Singh; Le Xie 001 (CoRR, 2022)

A 2030 United States Macro Grid Unlocking Geographical Diversity to Accomplish Clean Energy Goals. - Yixing Xu; Daniel Olsen; Bainan Xia; Dan Livengood; Victoria Hunt; Yifan Li; Lane D. Smith (CoRR, 2022)

Neural architecture tuning with policy adaptation. - Yanxi Li 001; Minjing Dong; Yixing Xu; Yunhe Wang 001; Chang Xu 002 (Neurocomputing, 2022)

Towards closing the data gap: A project-driven distributed energy resource dataset for the U.S. Grid. - Rabab Haider; Yixing Xu; Weiwei Yang (e-Energy (Companion), 2023)

FDViT: Improve the Hierarchical Architecture of Vision Transformer. - Yixing Xu; Chao Li; Dong Li 025; Xiao Sheng; Fan Jiang; Lu Tian; Ashish Sirasao (ICCV, 2023)

A Survey on Vision Transformer. - Kai Han 002; Yunhe Wang 001; Hanting Chen; Xinghao Chen 001; Jianyuan Guo; Zhenhua Liu 003; Yehui Tang; An Xiao; Chunjing Xu; Yixing Xu; Zhaohui Yang 003; Yiman Zhang; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module. - Yixing Xu; Chao Li; Dong Li 025; Xiao Sheng; Fan Jiang; Lu Tian; Ashish Sirasao; Emad Barsoum (ICML, 2024)

QT-ViT: Improving Linear Attention in ViT with Quadratic Taylor Expansion. - Yixing Xu; Chao Li; Dong Li 025; Xiao Sheng; Fan Jiang; Lu Tian; Emad Barsoum (NeurIPS, 2024)

Enhancing One-Shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism. - Guanchen Li; Xiandong Zhao; Lian Liu; Zeping Li; Yixing Xu; Dong Li 025; Lu Tian; Jie He; Ashish Sirasao; Emad Barsoum (COLING, 2025)

MSWA: Refining Local Attention with Multi-ScaleWindow Attention. - Yixing Xu; Shivank Nag; Dong Li 025; Lu Tian; Emad Barsoum (CoRR, 2025)

Jakiro: Boosting Speculative Decoding with Decoupled Multi-Head via MoE. - Haiduo Huang; Fuwei Yang; Zhenhua Liu; Yixing Xu; Jinze Li 001; Yang Liu; Xuanwu Yin; Dong Li 025; Pengju Ren; Emad Barsoum (CoRR, 2025)

Optimizing Ride-Pooling Operations with Extended Pickup and Drop-Off Flexibility. - Hao Jiang; Yixing Xu; Pradeep Varakantham (CoRR, 2025)

Týr-the-Pruner: Unlocking Accurate 50% Structural Pruning for LLMs via Global Sparsity Distribution Optimization. - Guanchen Li; Yixing Xu; Zeping Li; Ji Liu; Xuanwu Yin; Dong Li 025; Emad Barsoum (CoRR, 2025)

Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding. - Jinze Li 001; Yixing Xu; Haiduo Huang; Xuanwu Yin; Dong Li 025; Edith C. H. Ngai; Emad Barsoum (CoRR, 2025)

SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning. - Huanxuan Liao; Yixing Xu; Shizhu He; Guanchen Li; Xuanwu Yin; Dong Li; Emad Barsoum; Jun Zhao; Kang Liu (CoRR, 2025)