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Yufei Cui
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2020 – today
- 2024
- [c17]Shangyu Wu, Ying Xiong, Yufei Cui, Xue Liu, Buzhou Tang, Tei-Wei Kuo, Chun Jason Xue:
ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion. ICLR 2024 - [c16]Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, Antoni B. Chan:
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks. ICML 2024 - [c15]Zhifeng Wu, Xiaohui Li, Luning Wang, Shendi Wang, Yufei Cui, Jiahai Wang:
ProtoTree-MIL: Interpretable Multiple Instance Learning for Whole Slide Image Classification. IJCNN 2024: 1-8 - [i14]Shangyu Wu, Ying Xiong, Yufei Cui, Xue Liu, Buzhou Tang, Tei-Wei Kuo, Chun Jason Xue:
Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion. CoRR abs/2401.02993 (2024) - [i13]Jun Wang, Yufei Cui, Yu Mao, Nan Guan, Chun Jason Xue:
Pre-processing matters: A segment search method for WSI classification. CoRR abs/2404.11161 (2024) - [i12]Jun Wang, Yu Mao, Yufei Cui, Nan Guan, Chun Jason Xue:
IHC Matters: Incorporating IHC analysis to H&E Whole Slide Image Analysis for Improved Cancer Grading via Two-stage Multimodal Bilinear Pooling Fusion. CoRR abs/2405.08197 (2024) - [i11]Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, Antoni B. Chan:
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks. CoRR abs/2405.08886 (2024) - [i10]Hao Zhou, Chengming Hu, Ye Yuan, Yufei Cui, Yili Jin, Can Chen, Haolun Wu, Dun Yuan, Li Jiang, Di Wu, Xue Liu, Charlie Jianzhong Zhang, Xianbin Wang, Jiangchuan Liu:
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. CoRR abs/2405.10825 (2024) - [i9]Lianming Huang, Shangyu Wu, Yufei Cui, Ying Xiong, Xue Liu, Tei-Wei Kuo, Nan Guan, Chun Jason Xue:
RAEE: A Training-Free Retrieval-Augmented Early Exiting Framework for Efficient Inference. CoRR abs/2405.15198 (2024) - [i8]Shangyu Wu, Ying Xiong, Yufei Cui, Haolun Wu, Can Chen, Ye Yuan, Lianming Huang, Xue Liu, Tei-Wei Kuo, Nan Guan, Chun Jason Xue:
Retrieval-Augmented Generation for Natural Language Processing: A Survey. CoRR abs/2407.13193 (2024) - [i7]Xiang Zhang, Yufei Cui, Chenchen Fu, Weiwei Wu, Zihao Wang, Yuyang Sun, Xue Liu:
Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception. CoRR abs/2409.06584 (2024) - 2023
- [j9]Yufei Cui, Yu Mao, Ziquan Liu, Qiao Li, Antoni B. Chan, Xue (Steve) Liu, Tei-Wei Kuo, Chun Jason Xue:
Variational Nested Dropout. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10519-10534 (2023) - [c14]Yu Mao, Jingzong Li, Yufei Cui, Chun Jason Xue:
Faster and Stronger Lossless Compression with Optimized Autoregressive Framework. DAC 2023: 1-6 - [c13]Yufei Cui, Ziquan Liu, Xiangyu Liu, Xue Liu, Cong Wang, Tei-Wei Kuo, Chun Jason Xue, Antoni B. Chan:
Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images. ICLR 2023 - [c12]Yufei Cui, Ziquan Liu, Yixin Chen, Yuchen Lu, Xinyue Yu, Xue (Steve) Liu, Tei-Wei Kuo, Miguel Rodrigues, Chun Jason Xue, Antoni B. Chan:
Retrieval-Augmented Multiple Instance Learning. NeurIPS 2023 - 2022
- [j8]Shangyu Wu, Yufei Cui, Jinghuan Yu, Xuan Sun, Tei-Wei Kuo, Chun Jason Xue:
NFL: Robust Learned Index via Distribution Transformation. Proc. VLDB Endow. 15(10): 2188-2200 (2022) - [j7]Yufei Cui, Qiao Li, Tei-Wei Kuo, Chun Jason Xue:
Online Rare Category Identification and Data Diversification for Edge Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(5): 1290-1301 (2022) - [j6]Qiao Li, Min Ye, Yufei Cui, Tianyu Ren, Tei-Wei Kuo, Chun Jason Xue:
Resolving the Reliability Issues of Open Blocks for 3-D NAND Flash: Observations and Strategies. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4076-4087 (2022) - [j5]Yufei Cui, Shangyu Wu, Qiao Li, Antoni B. Chan, Tei-Wei Kuo, Chun Jason Xue:
Bits-Ensemble: Toward Light-Weight Robust Deep Ensemble by Bits-Sharing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4397-4408 (2022) - [j4]Yufei Cui, Wuguannan Yao, Qiao Li, Antoni B. Chan, Chun Jason Xue:
Accelerating Monte Carlo Bayesian Prediction via Approximating Predictive Uncertainty Over the Simplex. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1492-1506 (2022) - [c11]Yu Liang, Riwei Pan, Tianyu Ren, Yufei Cui, Rachata Ausavarungnirun, Xianzhang Chen, Changlong Li, Tei-Wei Kuo, Chun Jason Xue:
CacheSifter: Sifting Cache Files for Boosted Mobile Performance and Lifetime. FAST 2022: 445-459 - [c10]Yu Mao, Yufei Cui, Tei-Wei Kuo, Chun Jason Xue:
Accelerating General-purpose Lossless Compression via Simple and Scalable Parameterization. ACM Multimedia 2022: 3205-3213 - [c9]Yu Mao, Yufei Cui, Tei-Wei Kuo, Chun Jason Xue:
TRACE: A Fast Transformer-based General-Purpose Lossless Compressor. WWW 2022: 1829-1838 - [i6]Yu Mao, Yufei Cui, Tei-Wei Kuo, Chun Jason Xue:
A Fast Transformer-based General-Purpose Lossless Compressor. CoRR abs/2203.16114 (2022) - [i5]Shangyu Wu, Yufei Cui, Jinghuan Yu, Xuan Sun, Tei-Wei Kuo, Chun Jason Xue:
NFL: Robust Learned Index via Distribution Transformation. CoRR abs/2205.11807 (2022) - 2021
- [c8]Hu Wan, Xuan Sun, Yufei Cui, Chia-Lin Yang, Tei-Wei Kuo, Chun Jason Xue:
FlashEmbedding: storing embedding tables in SSD for large-scale recommender systems. APSys 2021: 9-16 - [c7]Yufei Cui, Ziquan Liu, Qiao Li, Antoni B. Chan, Chun Jason Xue:
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression. CVPR 2021: 2392-2401 - [i4]Yufei Cui, Ziquan Liu, Qiao Li, Yu Mao, Antoni B. Chan, Chun Jason Xue:
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression. CoRR abs/2101.11353 (2021) - [i3]Ziquan Liu, Yufei Cui, Jia Wan, Yu Mao, Antoni B. Chan:
The Implicit Biases of Stochastic Gradient Descent on Deep Neural Networks with Batch Normalization. CoRR abs/2102.03497 (2021) - 2020
- [j3]Qiao Li, Liang Shi, Yufei Cui, Chun Jason Xue:
Exploiting Asymmetric Errors for LDPC Decoding Optimization on 3D NAND Flash Memory. IEEE Trans. Computers 69(4): 475-488 (2020) - [j2]Chao Wu, Yufei Cui, Cheng Ji, Tei-Wei Kuo, Chun Jason Xue:
Pruning Deep Reinforcement Learning for Dual User Experience and Storage Lifetime Improvement on Mobile Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3993-4005 (2020) - [c6]Yufei Cui, Ziquan Liu, Wuguannan Yao, Qiao Li, Antoni B. Chan, Tei-Wei Kuo, Chun Jason Xue:
Fully Nested Neural Network for Adaptive Compression and Quantization. IJCAI 2020: 2080-2087 - [c5]Qiao Li, Min Ye, Yufei Cui, Liang Shi, Xiaoqiang Li, Tei-Wei Kuo, Chun Jason Xue:
Shaving Retries with Sentinels for Fast Read over High-Density 3D Flash. MICRO 2020: 483-495 - [i2]Ziquan Liu, Yufei Cui, Antoni B. Chan:
Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations. CoRR abs/2008.02965 (2020)
2010 – 2019
- 2019
- [j1]Zimeng Zhou, Chenyun Yu, Sarana Nutanong, Yufei Cui, Chenchen Fu, Chun Jason Xue:
A Hardware-Accelerated Solution for Hierarchical Index-Based Merge-Join. IEEE Trans. Knowl. Data Eng. 31(1): 91-104 (2019) - [c4]Yufei Cui, Qiao Li, Sarana Nutanong, Chun Jason Xue:
Online Rare Category Detection for Edge Computing. DATE 2019: 1269-1272 - [c3]Qiao Li, Min Ye, Yufei Cui, Liang Shi, Xiaoqiang Li, Chun Jason Xue:
Sentinel Cells Enabled Fast Read for NAND Flash. HotStorage 2019 - [c2]Zimeng Zhou, Chenyun Yu, Sarana Nutanong, Yufei Cui, Chenchen Fu, Chun Jason Xue:
A Hardware-Accelerated Solution for Hierarchical Index-Based Merge-Join(Extended Abstract). ICDE 2019: 2137-2138 - [i1]Yufei Cui, Wuguannan Yao, Qiao Li, Antoni B. Chan, Chun Jason Xue:
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over Simplex. CoRR abs/1905.12194 (2019) - 2016
- [c1]Yufei Cui, Min Zhao, Muqing Wu:
A centralized control caching strategy based on popularity and betweenness centrality in CCN. ISWCS 2016: 286-291
Coauthor Index
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