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Yiran Chen

  1. TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
    2017/05/22 by Wei Wen, Cong Xu, Wen, Wei +11 · 18 citations
    Computer Science · Engineering · #Distributed #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #I.2.6 #I.5.1 #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Parallel #Robotics and Automated Systems #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  2. DPatch: An Adversarial Patch Attack on Object Detectors
    2018/06/05 by Xin Liu, Huanrui Yang, Liu, Xin +9 · 17 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Adversarial Robustness in Machine Learning #Bacillus and Francisella bacterial research #Advanced Neural Network Applications
  3. OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection
    2023/06/15 by Jingyang Zhang, Jingkang Yang, Zhang, Jingyang +21 · 23 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Data Stream Mining Techniques #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing
  4. Extractive Summarization as Text Matching
    2020/04/19 by Ming Zhong, Pengfei Liu, Zhong, Ming +9 · 8 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Advanced Text Analysis Techniques
  5. Neural Predictor for Neural Architecture Search
    2019/12/02 by Wei Wen, Hanxiao Liu, Wen, Wei +9 · 9 citations
    Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
  6. FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning
    2021/03/24 by Minxue Tang, Xuefei Ning, Tang, Minxue +11 · 8 citations
    Computer Science · Decision Sciences · Health Professions · #Artificial Intelligence in Healthcare #Data Quality and Management #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
  7. Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification
    2020/04/20 by Huanrui Yang, Minxue Tang, Yang, Huanrui +13 · 5 citations
    Computer Science · Engineering · #Blind Source Separation Techniques #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques
  8. Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives
    2025/02/04 by Qinsi Wang, Wang, Qinsi, Ji Ke +9 · 16 citations
    Engineering · #Advanced Algorithms and Applications #Advanced Control Systems Optimization #FOS: Computer and information sciences #Iterative Learning Control Systems #Machine Learning (cs.LG)
  9. eSLAM: An Energy-Efficient Accelerator for Real-Time ORB-SLAM on FPGA Platform
    2019/06/03 by Runze Liu, Jianlei Yang, Liu, Runze +4 · 3 citations
    Engineering · Computer Science · #Robotics and Sensor-Based Localization #Modular Robots and Swarm Intelligence #Advanced Image and Video Retrieval Techniques
  10. A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models
    2024/10/08 by Cong Guo, Guo, Cong, Feng Cheng +44 · 9 citations
    Computer Science · #Model-Driven Software Engineering Techniques #Distributed and Parallel Computing Systems
  11. GraphR: Accelerating Graph Processing Using ReRAM
    2017/08/21 by Linghao Song, Youwei Zhuo, Song, Linghao +7 · 2 citations
    Computer Science · Engineering · #Advanced Graph Neural Networks #Advanced Memory and Neural Computing #Distributed #FOS: Computer and information sciences #Graph Theory and Algorithms #Hardware Architecture (cs.AR) #Parallel #and Cluster Computing (cs.DC)
  12. Trained Rank Pruning for Efficient Deep Neural Networks
    2018/12/06 by Yuhui Xu, Xu, Yuhui, Yuxi Li +15 · 2 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications #Speech and Audio Processing #Video Analysis and Summarization
  13. TRP: Trained Rank Pruning for Efficient Deep Neural Networks
    2020/04/30 by Yuhui Xu, Yuxi Li, Xu, Yuhui +15 · 2 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics and Sensor-Based Localization #Sparse and Compressive Sensing Techniques
  14. SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval
    2024/12/16 by Yueqian Lin, Lin, Yueqian, Yuzhe Fu +13 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Natural Language Processing Techniques #Sound (cs.SD) #Speech Recognition and Synthesis #Speech and dialogue systems #electronic engineering #information engineering
  15. CoreInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activation
    2024/10/23 by Qinsi Wang, Wang, Qinsi, Saeed Vahidian +9 · 7 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
  16. BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization
    2021/02/20 by Huanrui Yang, Yang, Huanrui, Lin Duan +5 · 2 citations
    Computer Science · #Advanced Data Compression Techniques #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
  17. A synapse memristor model with forgetting effect
    2013/12/01 by Ling Chen, Chuandong Li, Tingwen Huang +3 · 1 citation
  18. Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples
    2023/03/28 by Jingwei Sun, Sun, Jingwei, Ziyue Xu +15 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  19. DPad: Efficient Diffusion Language Models with Suffix Dropout
    2025/08/19 by Xinhua Chen, Chen, Xinhua, Sisi Huang +13 · 13 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
  20. LoBAM: LoRA-Based Backdoor Attack on Model Merging
    2024/11/23 by Minghao Yin, Yin, Ming, Jingyang Zhang +9 · 3 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Formal Methods in Verification #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Smart Grid Security and Resilience
  21. GenAI at the Edge: Comprehensive Survey on Empowering Edge Devices
    2025/02/19 by Mozhgan Navardi, Navardi, Mozhgan, Romina Aalishah +10 · 6 citations
    Computer Science · Engineering · #Advanced Semiconductor Detectors and Materials #Distributed #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Parallel #and Cluster Computing (cs.DC)
  22. CinePreGen: Camera Controllable Video Previsualization via Engine-powered Diffusion
    2024/08/30 by Yiran Chen, Chen, Yiran, Anyi Rao +13 · 2 citations
    Computer Science · #Video Surveillance and Tracking Methods #Generative Adversarial Networks and Image Synthesis #Advanced Vision and Imaging
  23. Angles Don't Lie: Unlocking Training-Efficient RL Through the Model's Own Signals
    2025/06/02 by Qinsi Wang, Ji Ke, Wang, Qinsi +15 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Speech Recognition and Synthesis #Topic Modeling
  24. Analog, In-memory Compute Architectures for Artificial Intelligence
    2023/01/13 by Patrick Bowen, Bowen, Patrick, Guy Regev +9 · 1 citation
    Computer Science · Engineering · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #FOS: Physical sciences #Ferroelectric and Negative Capacitance Devices #Hardware Architecture (cs.AR) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Optics (physics.optics)
  25. FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
    2023/10/02 by Jingwei Sun, Ziyue Xu, Sun, Jingwei +11 · 1 citation
    Computer Science · #Privacy-Preserving Technologies in Data #Age of Information Optimization
  26. Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents
    2023/12/03 by Yuqi Jia, Jia, Yuqi, Saeed Vahidian +11 · 1 citation
    Computer Science · #Privacy-Preserving Technologies in Data
  27. Qplacer: Frequency-Aware Component Placement for Superconducting Quantum Computers
    2024/01/30 by Junyao Zhang, Zhang, Junyao, Hanrui Wang +17 · 1 citation
    Computer Science · Physics and Astronomy · #Quantum Computing Algorithms and Architecture #Quantum and electron transport phenomena #Physics of Superconductivity and Magnetism
  28. PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration
    2023/03/24 by Richard P. Petri, Petri, Richard, Grace Li Zhang +7 · 1 citation
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Neural and Evolutionary Computing (cs.NE)
  29. SafeTy Reasoning Elicitation Alignment for Multi-Turn Dialogues
    2025/05/31 by Martin Kuo, Kuo, Martin, Jianyi Zhang +26 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
  30. Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility
    2025/02/24 by Martin Kuo, Jingyang Zhang, Kuo, Martin +21 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data
  31. Accelerating CNN Training by Pruning Activation Gradients
    2019/08/01 by Xucheng Ye, Pengcheng Dai, Ye, Xucheng +11 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning
  32. HippoMM: Hippocampal-inspired Multimodal Memory for Long Audiovisual Event Understanding
    2025/04/14 by Yueqian Lin, Lin, Yueqian, Zhang, Jingyang +8 · 2 citations
    Neuroscience · Psychology · Computer Science · #Face Recognition and Perception #Multisensory perception and integration #Multimodal Machine Learning Applications
  33. Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural Networks
    2025/05/16 by Chiyue Wei, Bowen Duan, Wei, Chiyue +10 · 2 citations
    Engineering · Computer Science · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural Networks and Reservoir Computing
  34. SCALE: Self-Supervised Constraint-Aware Layout GEneration for Local P&R DRV Fixing at Advanced Nodes
    2026/07/23 by Chia-Tung Ho, Haoyu Yang, Guanglei Zhou +6
    #cs.CV #cs.AI
  35. From RLVR to RLSVR: Task Transformation Induces Self-Verifiable Rewards for Open-Ended LLM Self-Improvement
    2026/07/26 by Qinsi Wang, Jing Shi, Huazheng Wang +8
    #cs.AI
  36. Multi-primitive in-memory computing for Monte Carlo tree search
    2026/07/24 by Tergel Molom-Ochir, Benjamin F. Morris III, Yintao He +6
    #cs.AR #cs.AI #cs.ET