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2020 – today
- 2026
[i35]Xinyu Wang, Yajie Luo, Yihong Wu, Liheng Ma, Ziyu Zhao, Jingrui Tian, Lei Ding, Yufei Cui, Xiao-Wen Chang:
Dynamic Quantization Error Propagation in Encoder-Decoder ASR Quantization. CoRR abs/2601.02455 (2026)- [i34]Michael R. Metel, Yufei Cui, Boxing Chen, Prasanna Parthasarathi:
Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning Models. CoRR abs/2601.09855 (2026) - [i33]Linrui Ma, Yufei Cui, Kai Han, Yunhe Wang:
Diffusion In Diffusion: Reclaiming Global Coherence in Semi-Autoregressive Diffusion. CoRR abs/2601.13599 (2026) - [i32]Yunhe Wang, Kai Han, Huiling Zhen, Yuchuan Tian, Hanting Chen, Yongbing Huang, Yufei Cui, Yingte Shu, Shan Gao, Ismail Elezi, Roy Vaughan Miles, Songcen Xu, Feng Wen, Chao Xu, Sinan Zeng, Dacheng Tao:
Top 10 Open Challenges Steering the Future of Diffusion Language Model and Its Variants. CoRR abs/2601.14041 (2026) - [i31]Xinyu Wang, Sicheng Lyu, Yu Gu, Jerry Huang, Peng Lu, Yufei Cui, Xiao-Wen Chang:
Beyond Hard Writes and Rigid Preservation: Soft Recursive Least-Squares for Lifelong LLM Editing. CoRR abs/2601.15686 (2026) - [i30]Xinyu Wang, Mingze Li, Peng Lu, Xiao-Wen Chang, Lifeng Shang, Jinping Li, Fei Mi, Prasanna Parthasarathi, Yufei Cui:
InfMem: Learning System-2 Memory Control for Long-Context Agent. CoRR abs/2602.02704 (2026) - 2025
- [j10]Hao Zhou
, Chengming Hu, Ye Yuan, Yufei Cui, Yili Jin, Can Chen, Haolun Wu, Dun Yuan, Li Jiang, Di Wu, Xue (Steve) Liu, Jianzhong Zhang, Xianbin Wang, Jiangchuan Liu:
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. IEEE Commun. Surv. Tutorials 27(3): 1955-2005 (2025) - [c22]Xiang Zhang, Yufei Cui, Chenchen Fu, Zihao Wang, Yuyang Sun, Xue Liu, Weiwei Wu:
Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception. AAAI 2025: 10185-10193 - [c21]Xinyu Wang, Jijun Chi, Zhenghan Tai, Tung Sum Thomas Kwok, Hailin He, Zhuhong Li, Yuchen Hua, Muzhi Li, Peng Lu, Suyuchen Wang, Yihong Wu, Jerry Huang, Jingrui Tian, Fengran Mo, Yufei Cui, Ling Zhou:
FinSage: A Multi-aspect RAG System for Financial Filings Question Answering. CIKM 2025: 6144-6152 - [c20]Xianrui Li, Yufei Cui, Jun Li, Antoni B. Chan:
Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging. CVPR 2025: 20800-20809 - [c19]Xinyu Wang, Vahid Partovi Nia, Peng Lu, Jerry Huang, Xiao-Wen Chang, Boxing Chen, Yufei Cui:
PoT-PTQ: Two-Step Power-of-Two Post-Training for LLMs. ECAI 2025: 3218-3225 - [c18]Jiacheng Zuo, Haibo Hu, Zikang Zhou, Yufei Cui, Ziquan Liu, Jianping Wang, Nan Guan, Jin Wang, Chun Jason Xue:
RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning. IROS 2025: 17001-17007 - [i29]Xiang Zhang, Chenchen Fu, Yufei Cui, Lan Yi, Yuyang Sun, Weiwei Wu, Xue Liu:
CorrDiff: Adaptive Delay-aware Detector with Temporal Cue Inputs for Real-time Object Detection. CoRR abs/2501.05132 (2025) - [i28]Jiacheng Zuo, Haibo Hu, Zikang Zhou, Yufei Cui, Ziquan Liu, Jianping Wang, Nan Guan, Jin Wang, Chun Jason Xue:
RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning. CoRR abs/2501.12296 (2025) - [i27]Xinyu Wang, Linrui Ma, Jerry Huang, Peng Lu, Prasanna Parthasarathi, Xiao-Wen Chang, Boxing Chen, Yufei Cui:
Resona: Improving Context Copying in Linear Recurrence Models with Retrieval. CoRR abs/2503.22913 (2025) - [i26]Haibo Hu, Jiacheng Zuo, Yang Lou, Yufei Cui, Jianping Wang, Nan Guan, Jin Wang, Yung-Hui Li, Chun Jason Xue:
VLM-C4L: Continual Core Dataset Learning with Corner Case Optimization via Vision-Language Models for Autonomous Driving. CoRR abs/2503.23046 (2025) - [i25]Xianrui Li, Yufei Cui, Jun Li, Antoni B. Chan:
Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging. CoRR abs/2505.10649 (2025) - [i24]Xinyu Wang, Vahid Partovi Nia, Peng Lu, Jerry Huang, Xiao-Wen Chang, Boxing Chen, Yufei Cui:
PoTPTQ: A Two-step Power-of-Two Post-training for LLMs. CoRR abs/2507.11959 (2025) - [i23]Maxime Heuillet, Yufei Cui, Boxing Chen, Audrey Durand, Prasanna Parthasarathi:
Nested-ReFT: Efficient Reinforcement Learning for Large Language Model Fine-Tuning via Off-Policy Rollouts. CoRR abs/2508.10123 (2025) - [i22]Yixin Chen, Ying Xiong, Shangyu Wu, Yufei Cui, Xue (Steve) Liu, Nan Guan, Chun Jason Xue:
Beyond Semantic Similarity: Reducing Unnecessary API Calls via Behavior-Aligned Retriever. CoRR abs/2508.14323 (2025) - [i21]Peng Lu, Jerry Huang, Qiuhao Zeng, Xinyu Wang, Boxing Wang, Philippe Langlais, Yufei Cui:
Mamba Modulation: On the Length Generalization of Mamba. CoRR abs/2509.19633 (2025) - [i20]Prasanna Parthasarathi, Mathieu Reymond, Boxing Chen, Yufei Cui, Sarath Chandar:
GRPO-λ: Credit Assignment improves LLM Reasoning. CoRR abs/2510.00194 (2025) - [i19]Haibo Hu, Lianming Huang, Xinyu Wang, Yufei Cui, Shangyu Wu, Nan Guan, Chun Jason Xue:
Nav-EE: Navigation-Guided Early Exiting for Efficient Vision-Language Models in Autonomous Driving. CoRR abs/2510.01795 (2025) - [i18]Zhenghan Tai, Hanwei Wu, Qingchen Hu, Jijun Chi, Hailin He, Lei Ding, Tung Sum Thomas Kwok, Bohuai Xiao, Yuchen Hua, Suyuchen Wang, Peng Lu, Muzhi Li, Yihong Wu, Liheng Ma, Jerry Huang, Jiayi Zhang, Gonghao Zhang, Chaolong Jiang, Jingrui Tian, Sicheng Lyu, Zeyu Li, Boyu Han, Fengran Mo, Xinyue Yu, Yufei Cui, Ling Zhou, Xinyu Wang:
VeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question Answering. CoRR abs/2510.10828 (2025) - [i17]Sicheng Lyu, Yu Gu, Xinyu Wang, Jerry Huang, Sitao Luan, Yufei Cui, Xiao-Wen Chang, Peng Lu:
EvoEdit: Evolving Null-space Alignment for Robust and Efficient Knowledge Editing. CoRR abs/2510.13851 (2025) - [i16]Xinyu Wang, Hanwei Wu, Qingchen Hu, Zhenghan Tai, Jingrui Tian, Lei Ding, Jijun Chi, Hailin He, Tung Sum Thomas Kwok, Yufei Cui, Sicheng Lyu, Muzhi Li, Mingze Li, Xinyue Yu, Ling Zhou, Peng Lu:
R2R: A Route-to-Rerank Post-Training Framework for Multi-Domain Decoder-Only Rerankers. CoRR abs/2511.19987 (2025) - 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: 30908-30928 - [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 - [i15]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) - [i14]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) - [i13]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) - [i12]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) - [i11]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) - [i10]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) - [i9]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) - [i8]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) - [i7]Ying Xiong, Linjing Liu, Yufei Cui, Shangyu Wu, Xue Liu, Antoni B. Chan, Chun Jason Xue:
GeneQuery: A General QA-based Framework for Spatial Gene Expression Predictions from Histology Images. CoRR abs/2411.18391 (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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