A centralized control caching strategy based on popularity and betweenness centrality in CCN. - Yufei Cui; Min Zhao 002; Muqing Wu (ISWCS, 2016)

Online Rare Category Detection for Edge Computing. - Yufei Cui; Qiao Li 001; Sarana Nutanong; Chun Jason Xue (DATE, 2019)

Sentinel Cells Enabled Fast Read for NAND Flash. - Qiao Li 001; Min Ye; Yufei Cui; Liang Shi 001; Xiaoqiang Li; Chun Jason Xue (HotStorage, 2019)

A Hardware-Accelerated Solution for Hierarchical Index-Based Merge-Join(Extended Abstract). - Zimeng Zhou; Chenyun Yu; Sarana Nutanong; Yufei Cui; Chenchen Fu; Chun Jason Xue (ICDE, 2019)

Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over Simplex. - Yufei Cui; Wuguannan Yao; Qiao Li 001; Antoni B. Chan; Chun Jason Xue (CoRR, 2019)

A Hardware-Accelerated Solution for Hierarchical Index-Based Merge-Join. - Zimeng Zhou; Chenyun Yu; Sarana Nutanong; Yufei Cui; Chenchen Fu; Chun Jason Xue (IEEE Trans. Knowl. Data Eng., 2019)

Fully Nested Neural Network for Adaptive Compression and Quantization. - Yufei Cui; Ziquan Liu; Wuguannan Yao; Qiao Li 001; Antoni B. Chan; Tei-Wei Kuo; Chun Jason Xue (IJCAI, 2020)

Shaving Retries with Sentinels for Fast Read over High-Density 3D Flash. - Qiao Li 001; Min Ye; Yufei Cui; Liang Shi 001; Xiaoqiang Li; Tei-Wei Kuo; Chun Jason Xue (MICRO, 2020)

Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations. - Ziquan Liu; Yufei Cui; Antoni B. Chan (CoRR, 2020)

Exploiting Asymmetric Errors for LDPC Decoding Optimization on 3D NAND Flash Memory. - Qiao Li 001; Liang Shi 001; Yufei Cui; Chun Jason Xue (IEEE Trans. Computers, 2020)

Pruning Deep Reinforcement Learning for Dual User Experience and Storage Lifetime Improvement on Mobile Devices. - Chao Wu 006; Yufei Cui; Cheng Ji 002; Tei-Wei Kuo; Chun Jason Xue (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

FlashEmbedding: storing embedding tables in SSD for large-scale recommender systems. - Hu Wan 001; Xuan Sun 003; Yufei Cui; Chia-Lin Yang; Tei-Wei Kuo; Chun Jason Xue (APSys, 2021)

Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression. - Yufei Cui; Ziquan Liu; Qiao Li 001; Antoni B. Chan; Chun Jason Xue (CVPR, 2021)

Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression. - Yufei Cui; Ziquan Liu; Qiao Li 001; Yu Mao 001; Antoni B. Chan; Chun Jason Xue (CoRR, 2021)

The Implicit Biases of Stochastic Gradient Descent on Deep Neural Networks with Batch Normalization. - Ziquan Liu; Yufei Cui; Jia Wan 001; Yu Mao 001; Antoni B. Chan (CoRR, 2021)

CacheSifter: Sifting Cache Files for Boosted Mobile Performance and Lifetime. - Yu Liang 004; Riwei Pan; Tianyu Ren; Yufei Cui; Rachata Ausavarungnirun; Xianzhang Chen; Changlong Li; Tei-Wei Kuo; Chun Jason Xue (FAST, 2022)

Accelerating General-purpose Lossless Compression via Simple and Scalable Parameterization. - Yu Mao 001; Yufei Cui; Tei-Wei Kuo; Chun Jason Xue (ACM Multimedia, 2022)

TRACE: A Fast Transformer-based General-Purpose Lossless Compressor. - Yu Mao 001; Yufei Cui; Tei-Wei Kuo; Chun Jason Xue (WWW, 2022)

A Fast Transformer-based General-Purpose Lossless Compressor. - Yu Mao 001; Yufei Cui; Tei-Wei Kuo; Chun Jason Xue (CoRR, 2022)

NFL: Robust Learned Index via Distribution Transformation. - Shangyu Wu; Yufei Cui; Jinghuan Yu; Xuan Sun 003; Tei-Wei Kuo; Chun Jason Xue (Proc. VLDB Endow., 2022)

Online Rare Category Identification and Data Diversification for Edge Computing. - Yufei Cui; Qiao Li 001; Tei-Wei Kuo; Chun Jason Xue (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Bits-Ensemble: Toward Light-Weight Robust Deep Ensemble by Bits-Sharing. - Yufei Cui; Shangyu Wu; Qiao Li 001; Antoni B. Chan; Tei-Wei Kuo; Chun Jason Xue (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Resolving the Reliability Issues of Open Blocks for 3-D NAND Flash: Observations and Strategies. - Qiao Li 001; Min Ye; Yufei Cui; Tianyu Ren; Tei-Wei Kuo; Chun Jason Xue (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Accelerating Monte Carlo Bayesian Prediction via Approximating Predictive Uncertainty Over the Simplex. - Yufei Cui; Wuguannan Yao; Qiao Li 001; Antoni B. Chan; Chun Jason Xue (IEEE Trans. Neural Networks Learn. Syst., 2022)

Faster and Stronger Lossless Compression with Optimized Autoregressive Framework. - Yu Mao 001; Jingzong Li; Yufei Cui; Chun Jason Xue (DAC, 2023)

Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images. - Yufei Cui; Ziquan Liu; Xiangyu Liu; Xue Liu 001; Cong Wang 001; Tei-Wei Kuo; Chun Jason Xue; Antoni B. Chan (ICLR, 2023)

Retrieval-Augmented Multiple Instance Learning. - Yufei Cui; Ziquan Liu; Yixin Chen; Yuchen Lu; Xinyue Yu; Xue (Steve) Liu; Tei-Wei Kuo; Miguel Rodrigues 001; Chun Jason Xue; Antoni B. Chan (NeurIPS, 2023)

Variational Nested Dropout. - Yufei Cui; Yu Mao 001; Ziquan Liu; Qiao Li 001; Antoni B. Chan; Xue (Steve) Liu; Tei-Wei Kuo; Chun Jason Xue (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion. - Shangyu Wu; Ying Xiong; Yufei Cui; Xue Liu 001; Buzhou Tang; Tei-Wei Kuo; Chun Jason Xue (ICLR, 2024)

The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks. - Ziquan Liu; Yufei Cui; Yan Yan 006; Yi Xu 008; Xiangyang Ji; Xue Liu 001; Antoni B. Chan (ICML, 2024)

ProtoTree-MIL: Interpretable Multiple Instance Learning for Whole Slide Image Classification. - Zhifeng Wu; Xiaohui Li; Luning Wang; Shendi Wang; Yufei Cui; Jiahai Wang (IJCNN, 2024)

Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion. - Shangyu Wu; Ying Xiong; Yufei Cui; Xue Liu 001; Buzhou Tang; Tei-Wei Kuo; Chun Jason Xue (CoRR, 2024)

Pre-processing matters: A segment search method for WSI classification. - Jun Wang; Yufei Cui; Yu Mao 001; Nan Guan; Chun Jason Xue (CoRR, 2024)

IHC Matters: Incorporating IHC analysis to H&E Whole Slide Image Analysis for Improved Cancer Grading via Two-stage Multimodal Bilinear Pooling Fusion. - Jun Wang; Yu Mao 001; Yufei Cui; Nan Guan; Chun Jason Xue (CoRR, 2024)

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. - Hao Zhou 013; Chengming Hu; Ye Yuan 017; Yufei Cui; Yili Jin 001; Can Chen 005; Haolun Wu; Dun Yuan; Li Jiang; Di Wu 044; Xue Liu 004; Charlie Jianzhong Zhang; et al. (CoRR, 2024)

RAEE: A Training-Free Retrieval-Augmented Early Exiting Framework for Efficient Inference. - Lianming Huang; Shangyu Wu; Yufei Cui; Ying Xiong; Xue Liu 001; Tei-Wei Kuo; Nan Guan; Chun Jason Xue (CoRR, 2024)

Retrieval-Augmented Generation for Natural Language Processing: A Survey. - Shangyu Wu; Ying Xiong; Yufei Cui; Haolun Wu; Can Chen 005; Ye Yuan 017; Lianming Huang; Xue Liu 001; Tei-Wei Kuo; Nan Guan; Chun Jason Xue (CoRR, 2024)

GeneQuery: A General QA-based Framework for Spatial Gene Expression Predictions from Histology Images. - Ying Xiong; Linjing Liu; Yufei Cui; Shangyu Wu; Xue Liu 001; Antoni B. Chan; Chun Jason Xue (CoRR, 2024)

Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception. - Xiang Zhang; Yufei Cui; Chenchen Fu; Zihao Wang; Yuyang Sun; Xue Liu; Weiwei Wu 001 (AAAI, 2025)

Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging. - Xianrui Li; Yufei Cui; Jun Li; Antoni B. Chan (CVPR, 2025)

CorrDiff: Adaptive Delay-aware Detector with Temporal Cue Inputs for Real-time Object Detection. - Xiang Zhang; Chenchen Fu; Yufei Cui; Lan Yi; Yuyang Sun; Weiwei Wu 001; Xue Liu (CoRR, 2025)

RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning. - Jiacheng Zuo; Haibo Hu; Zikang Zhou; Yufei Cui; Ziquan Liu; Jianping Wang 001; Nan Guan; Jin Wang 009; Chun Jason Xue (CoRR, 2025)

Resona: Improving Context Copying in Linear Recurrence Models with Retrieval. - Xinyu Wang; Linrui Ma; Jerry Huang; Peng Lu; Prasanna Parthasarathi; Xiao-Wen Chang; Boxing Chen; Yufei Cui (CoRR, 2025)

VLM-C4L: Continual Core Dataset Learning with Corner Case Optimization via Vision-Language Models for Autonomous Driving. - Haibo Hu; Jiacheng Zuo; Yang Lou; Yufei Cui; Jianping Wang 001; Nan Guan; Jin Wang 009; Yung-Hui Li; Chun Jason Xue (CoRR, 2025)

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. - Hao Zhou 013; Chengming Hu; Ye Yuan 017; Yufei Cui; Yili Jin 001; Can Chen 005; Haolun Wu; Dun Yuan; Li Jiang; Di Wu 044; Xue (Steve) Liu; Jianzhong Zhang 002; et al. (IEEE Commun. Surv. Tutorials, 2025)

AD-EE: Early Exiting for Fast and Reliable Vision-Language Models in Autonomous Driving. - Lianming Huang; Haibo Hu; Yufei Cui; Jiacheng Zuo; Shangyu Wu; Nan Guan; Chun Jason Xue (CoRR, 2025)

PoTPTQ: A Two-step Power-of-Two Post-training for LLMs. - Xinyu Wang; Vahid Partovi Nia; Peng Lu; Jerry Huang; Xiao-Wen Chang; Boxing Chen; Yufei Cui (CoRR, 2025)

Nested-ReFT: Efficient Reinforcement Learning for Large Language Model Fine-Tuning via Off-Policy Rollouts. - Maxime Heuillet; Yufei Cui; Boxing Chen; Audrey Durand; Prasanna Parthasarathi (CoRR, 2025)

Beyond Semantic Similarity: Reducing Unnecessary API Calls via Behavior-Aligned Retriever. - Yixin Chen; Ying Xiong; Shangyu Wu; Yufei Cui; Xue (Steve) Liu; Nan Guan; Chun Jason Xue (CoRR, 2025)