Yufei Cui - RankMe

74 papers A* 14A 6B 1Journal 48Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Hard Writes and Rigid Preservation: Soft Recursive Least-Squares for Lifelong LLM Editing. CoRR Xinyu Wang, Sicheng Lyu, Yu Gu, Jerry Huang, Peng Lu, Yufei Cui, Xiao-Wen Chang
2026	A	`conf`	ColdCode: Cold Data Encoding for Enhanced Reliability and Lifetime in 3D NAND Flash. EuroSys Qiao Li, Shangyu Wu, Zheng Wan, Yufei Cui, Jie Zhang, Chun Jason Xue
2026	J	`jnl`	Diffusion In Diffusion: Reclaiming Global Coherence in Semi-Autoregressive Diffusion. CoRR Linrui Ma, Yufei Cui, Kai Han, Yunhe Wang
2026	J	`jnl`	Dynamic Quantization Error Propagation in Encoder-Decoder ASR Quantization. CoRR Xinyu Wang, Yajie Luo, Yihong Wu, Liheng Ma, Ziyu Zhao, Jingrui Tian, Lei Ding, Yufei Cui, Xiao-Wen Chang
2026	J	`jnl`	InfMem: Learning System-2 Memory Control for Long-Context Agent. CoRR Xinyu Wang, Mingze Li, Peng Lu, Xiao-Wen Chang, Lifeng Shang, Jinping Li, Fei Mi, Prasanna Parthasarathi, Yufei Cui
2026	J	`jnl`	Mask Is What DLLM Needs: A Masked Data Training Paradigm for Diffusion LLMs. CoRR Linrui Ma, Yufei Cui, Kai Han, Yunhe Wang
2026	J	`jnl`	ReviveMoE: Fast Recovery for Hardware Failures in Large-Scale MoE LLM Inference Deployments. CoRR Haley Li, Xinglu Wang, Cong Feng, Chunxu Zuo, Yanan Wang, Hei Lo, Yufei Cui, Bingji Wang, Duo Cui, Shuming Jing, Yizhou Shan, Ying Xiong, Jiannan Wang, Yong Zhang, Zhenan Fan
2026	—	`conf`	Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning Models. EACL (Findings) Michael R. Metel, Yufei Cui, Boxing Chen, Prasanna Parthasarathi
2026	J	`jnl`	Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning Models. CoRR Michael R. Metel, Yufei Cui, Boxing Chen, Prasanna Parthasarathi
2026	J	`jnl`	Top 10 Open Challenges Steering the Future of Diffusion Language Model and Its Variants. CoRR 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
2026	J	`jnl`	TrasMuon: Trust-Region Adaptive Scaling for Orthogonalized Momentum Optimizers. CoRR Peng Cheng, Jiucheng Zang, Qingnan Li, Liheng Ma, Yufei Cui, Yingxue Zhang, Boxing Chen, Ming Jian, Wen Tong
2026	A*	`conf`	VeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question Answering. WWW 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
2025	A*	`conf`	Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging. CVPR Xianrui Li, Yufei Cui, Jun Li, Antoni B. Chan
2025	J	`jnl`	Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging. CoRR Xianrui Li, Yufei Cui, Jun Li, Antoni B. Chan
2025	J	`jnl`	Beyond Semantic Similarity: Reducing Unnecessary API Calls via Behavior-Aligned Retriever. CoRR Yixin Chen, Ying Xiong, Shangyu Wu, Yufei Cui, Xue (Steve) Liu, Nan Guan, Chun Jason Xue
2025	J	`jnl`	CorrDiff: Adaptive Delay-aware Detector with Temporal Cue Inputs for Real-time Object Detection. CoRR Xiang Zhang, Chenchen Fu, Yufei Cui, Lan Yi, Yuyang Sun, Weiwei Wu, Xue Liu
2025	J	`jnl`	EvoEdit: Evolving Null-space Alignment for Robust and Efficient Knowledge Editing. CoRR Sicheng Lyu, Yu Gu, Xinyu Wang, Jerry Huang, Sitao Luan, Yufei Cui, Xiao-Wen Chang, Peng Lu
2025	A	`conf`	FinSage: A Multi-aspect RAG System for Financial Filings Question Answering. CIKM 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
2025	J	`jnl`	GRPO-λ: Credit Assignment improves LLM Reasoning. CoRR Prasanna Parthasarathi, Mathieu Reymond, Boxing Chen, Yufei Cui, Sarath Chandar
2025	—	`conf`	GeneQuery: Generalized Gene Expression Prediction from Histology Images via Image-Gene QA. BIBM Ying Xiong, Linjing Liu, Yufei Cui, Shangyu Wu, Xue Liu, Antoni B. Chan, Chun Jason Xue
2025	J	`jnl`	Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. IEEE Commun. Surv. Tutorials 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
2025	J	`jnl`	Mamba Modulation: On the Length Generalization of Mamba. CoRR Peng Lu, Jerry Huang, Qiuhao Zeng, Xinyu Wang, Boxing Wang, Philippe Langlais, Yufei Cui
2025	J	`jnl`	Nav-EE: Navigation-Guided Early Exiting for Efficient Vision-Language Models in Autonomous Driving. CoRR Haibo Hu, Lianming Huang, Xinyu Wang, Yufei Cui, Shangyu Wu, Nan Guan, Chun Jason Xue
2025	J	`jnl`	Nested-ReFT: Efficient Reinforcement Learning for Large Language Model Fine-Tuning via Off-Policy Rollouts. CoRR Maxime Heuillet, Yufei Cui, Boxing Chen, Audrey Durand, Prasanna Parthasarathi
2025	A	`conf`	PoT-PTQ: Two-Step Power-of-Two Post-Training for LLMs. ECAI Xinyu Wang, Vahid Partovi Nia, Peng Lu, Jerry Huang, Xiao-Wen Chang, Boxing Chen, Yufei Cui
2025	J	`jnl`	PoTPTQ: A Two-step Power-of-Two Post-training for LLMs. CoRR Xinyu Wang, Vahid Partovi Nia, Peng Lu, Jerry Huang, Xiao-Wen Chang, Boxing Chen, Yufei Cui
2025	J	`jnl`	R CoRR 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
2025	A	`conf`	RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning. IROS Jiacheng Zuo, Haibo Hu, Zikang Zhou, Yufei Cui, Ziquan Liu, Jianping Wang, Nan Guan, Jin Wang, Chun Jason Xue
2025	J	`jnl`	RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning. CoRR Jiacheng Zuo, Haibo Hu, Zikang Zhou, Yufei Cui, Ziquan Liu, Jianping Wang, Nan Guan, Jin Wang, Chun Jason Xue
2025	J	`jnl`	Resona: Improving Context Copying in Linear Recurrence Models with Retrieval. CoRR Xinyu Wang, Linrui Ma, Jerry Huang, Peng Lu, Prasanna Parthasarathi, Xiao-Wen Chang, Boxing Chen, Yufei Cui
2025	A*	`conf`	Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception. AAAI Xiang Zhang, Yufei Cui, Chenchen Fu, Zihao Wang, Yuyang Sun, Xue Liu, Weiwei Wu
2025	J	`jnl`	VLM-C4L: Continual Core Dataset Learning with Corner Case Optimization via Vision-Language Models for Autonomous Driving. CoRR Haibo Hu, Jiacheng Zuo, Yang Lou, Yufei Cui, Jianping Wang, Nan Guan, Jin Wang, Yung-Hui Li, Chun Jason Xue
2025	J	`jnl`	VeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question Answering. CoRR 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
2024	J	`jnl`	GeneQuery: A General QA-based Framework for Spatial Gene Expression Predictions from Histology Images. CoRR Ying Xiong, Linjing Liu, Yufei Cui, Shangyu Wu, Xue Liu, Antoni B. Chan, Chun Jason Xue
2024	J	`jnl`	IHC Matters: Incorporating IHC analysis to H&E Whole Slide Image Analysis for Improved Cancer Grading via Two-stage Multimodal Bilinear Pooling Fusion. CoRR Jun Wang, Yu Mao, Yufei Cui, Nan Guan, Chun Jason Xue
2024	J	`jnl`	Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion. CoRR Shangyu Wu, Ying Xiong, Yufei Cui, Xue Liu, Buzhou Tang, Tei-Wei Kuo, Chun Jason Xue
2024	J	`jnl`	Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. CoRR 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
2024	J	`jnl`	Pre-processing matters: A segment search method for WSI classification. CoRR Jun Wang, Yufei Cui, Yu Mao, Nan Guan, Chun Jason Xue
2024	B	`conf`	ProtoTree-MIL: Interpretable Multiple Instance Learning for Whole Slide Image Classification. IJCNN Zhifeng Wu, Xiaohui Li, Luning Wang, Shendi Wang, Yufei Cui, Jiahai Wang
2024	J	`jnl`	RAEE: A Training-Free Retrieval-Augmented Early Exiting Framework for Efficient Inference. CoRR Lianming Huang, Shangyu Wu, Yufei Cui, Ying Xiong, Xue Liu, Tei-Wei Kuo, Nan Guan, Chun Jason Xue
2024	A*	`conf`	ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion. ICLR Shangyu Wu, Ying Xiong, Yufei Cui, Xue Liu, Buzhou Tang, Tei-Wei Kuo, Chun Jason Xue
2024	J	`jnl`	Retrieval-Augmented Generation for Natural Language Processing: A Survey. CoRR Shangyu Wu, Ying Xiong, Yufei Cui, Haolun Wu, Can Chen, Ye Yuan, Lianming Huang, Xue Liu, Tei-Wei Kuo, Nan Guan, Chun Jason Xue
2024	A*	`conf`	The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks. ICML Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, Antoni B. Chan
2024	J	`jnl`	The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks. CoRR Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, Antoni B. Chan
2024	J	`jnl`	Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception. CoRR Xiang Zhang, Yufei Cui, Chenchen Fu, Weiwei Wu, Zihao Wang, Yuyang Sun, Xue Liu
2023	A*	`conf`	Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images. ICLR Yufei Cui, Ziquan Liu, Xiangyu Liu, Xue Liu, Cong Wang, Tei-Wei Kuo, Chun Jason Xue, Antoni B. Chan
2023	A*	`conf`	Faster and Stronger Lossless Compression with Optimized Autoregressive Framework. DAC Yu Mao, Jingzong Li, Yufei Cui, Chun Jason Xue
2023	A*	`conf`	Retrieval-Augmented Multiple Instance Learning. NeurIPS Yufei Cui, Ziquan Liu, Yixin Chen, Yuchen Lu, Xinyue Yu, Xue (Steve) Liu, Tei-Wei Kuo, Miguel Rodrigues, Chun Jason Xue, Antoni B. Chan
2023	J	`jnl`	Variational Nested Dropout. IEEE Trans. Pattern Anal. Mach. Intell. Yufei Cui, Yu Mao, Ziquan Liu, Qiao Li, Antoni B. Chan, Xue (Steve) Liu, Tei-Wei Kuo, Chun Jason Xue
2022	J	`jnl`	A Fast Transformer-based General-Purpose Lossless Compressor. CoRR Yu Mao, Yufei Cui, Tei-Wei Kuo, Chun Jason Xue
2022	A*	`conf`	Accelerating General-purpose Lossless Compression via Simple and Scalable Parameterization. ACM Multimedia Yu Mao, Yufei Cui, Tei-Wei Kuo, Chun Jason Xue
2022	J	`jnl`	Accelerating Monte Carlo Bayesian Prediction via Approximating Predictive Uncertainty Over the Simplex. IEEE Trans. Neural Networks Learn. Syst. Yufei Cui, Wuguannan Yao, Qiao Li, Antoni B. Chan, Chun Jason Xue
2022	J	`jnl`	Bits-Ensemble: Toward Light-Weight Robust Deep Ensemble by Bits-Sharing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yufei Cui, Shangyu Wu, Qiao Li, Antoni B. Chan, Tei-Wei Kuo, Chun Jason Xue
2022	A	`conf`	CacheSifter: Sifting Cache Files for Boosted Mobile Performance and Lifetime. FAST Yu Liang, Riwei Pan, Tianyu Ren, Yufei Cui, Rachata Ausavarungnirun, Xianzhang Chen, Changlong Li, Tei-Wei Kuo, Chun Jason Xue
2022	J	`jnl`	NFL: Robust Learned Index via Distribution Transformation. CoRR Shangyu Wu, Yufei Cui, Jinghuan Yu, Xuan Sun, Tei-Wei Kuo, Chun Jason Xue
2022	J	`jnl`	NFL: Robust Learned Index via Distribution Transformation. Proc. VLDB Endow. Shangyu Wu, Yufei Cui, Jinghuan Yu, Xuan Sun, Tei-Wei Kuo, Chun Jason Xue
2022	J	`jnl`	Online Rare Category Identification and Data Diversification for Edge Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yufei Cui, Qiao Li, Tei-Wei Kuo, Chun Jason Xue
2022	J	`jnl`	Resolving the Reliability Issues of Open Blocks for 3-D NAND Flash: Observations and Strategies. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Qiao Li, Min Ye, Yufei Cui, Tianyu Ren, Tei-Wei Kuo, Chun Jason Xue
2022	A*	`conf`	TRACE: A Fast Transformer-based General-Purpose Lossless Compressor. WWW Yu Mao, Yufei Cui, Tei-Wei Kuo, Chun Jason Xue
2021	A*	`conf`	Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression. CVPR Yufei Cui, Ziquan Liu, Qiao Li, Antoni B. Chan, Chun Jason Xue
2021	J	`jnl`	Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression. CoRR Yufei Cui, Ziquan Liu, Qiao Li, Yu Mao, Antoni B. Chan, Chun Jason Xue
2021	—	`conf`	FlashEmbedding: storing embedding tables in SSD for large-scale recommender systems. APSys Hu Wan, Xuan Sun, Yufei Cui, Chia-Lin Yang, Tei-Wei Kuo, Chun Jason Xue
2021	J	`jnl`	The Implicit Biases of Stochastic Gradient Descent on Deep Neural Networks with Batch Normalization. CoRR Ziquan Liu, Yufei Cui, Jia Wan, Yu Mao, Antoni B. Chan
2020	J	`jnl`	Exploiting Asymmetric Errors for LDPC Decoding Optimization on 3D NAND Flash Memory. IEEE Trans. Computers Qiao Li, Liang Shi, Yufei Cui, Chun Jason Xue
2020	A*	`conf`	Fully Nested Neural Network for Adaptive Compression and Quantization. IJCAI Yufei Cui, Ziquan Liu, Wuguannan Yao, Qiao Li, Antoni B. Chan, Tei-Wei Kuo, Chun Jason Xue
2020	J	`jnl`	Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations. CoRR Ziquan Liu, Yufei Cui, Antoni B. Chan
2020	J	`jnl`	Pruning Deep Reinforcement Learning for Dual User Experience and Storage Lifetime Improvement on Mobile Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Chao Wu, Yufei Cui, Cheng Ji, Tei-Wei Kuo, Chun Jason Xue
2020	A*	`conf`	Shaving Retries with Sentinels for Fast Read over High-Density 3D Flash. MICRO Qiao Li, Min Ye, Yufei Cui, Liang Shi, Xiaoqiang Li, Tei-Wei Kuo, Chun Jason Xue
2019	A*	`conf`	A Hardware-Accelerated Solution for Hierarchical Index-Based Merge-Join(Extended Abstract). ICDE Zimeng Zhou, Chenyun Yu, Sarana Nutanong, Yufei Cui, Chenchen Fu, Chun Jason Xue
2019	J	`jnl`	A Hardware-Accelerated Solution for Hierarchical Index-Based Merge-Join. IEEE Trans. Knowl. Data Eng. Zimeng Zhou, Chenyun Yu, Sarana Nutanong, Yufei Cui, Chenchen Fu, Chun Jason Xue
2019	J	`jnl`	Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over Simplex. CoRR Yufei Cui, Wuguannan Yao, Qiao Li, Antoni B. Chan, Chun Jason Xue
2019	A	`conf`	Online Rare Category Detection for Edge Computing. DATE Yufei Cui, Qiao Li, Sarana Nutanong, Chun Jason Xue
2019	—	`conf`	Sentinel Cells Enabled Fast Read for NAND Flash. HotStorage Qiao Li, Min Ye, Yufei Cui, Liang Shi, Xiaoqiang Li, Chun Jason Xue
2016	—	`conf`	A centralized control caching strategy based on popularity and betweenness centrality in CCN. ISWCS Yufei Cui, Min Zhao, Muqing Wu