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Xia Hu

  1. 70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float (DFloat11)
    2025/04/15 by Tianyi Zhang, Zhang, Tianyi, Mohsen Hariri +11 · 17 voices · 5 citations
    Computer Science · #Parallel Computing and Optimization Techniques #Big Data and Digital Economy #Natural Language Processing Techniques
  2. Neural Collaborative Filtering
    2017/08/16 by Xiangnan He, He, Xiangnan, Lizi Liao +9 · 124 citations
    Computer Science · Social Sciences · #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Information Retrieval (cs.IR) #Music and Audio Processing #Recommender Systems and Techniques
  3. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
    2023/04/26 by Jingfeng Yang, Hongye Jin, Yang, Jingfeng +13 · 5 voices · 43 citations
    Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Topic Modeling #cs.AI #cs.CL #cs.LG
  4. Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks
    2019/10/03 by Haofan Wang, Zifan Wang, Wang, Haofan +13 · 49 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences
  5. KIVI : Plug-and-play 2bit KV Cache Quantization with Streaming Asymmetric Quantization
    2023/01/01 by Zirui Liu, Jiayi Yuan, Hongye Jin +6 · 1 voice · 42 citations
    Computer Science · #Error Correcting Code Techniques #Interconnection Networks and Systems #Quantum-Dot Cellular Automata #cs.CL #cs.LG #cs.PF
  6. Data-centric Artificial Intelligence: A Survey
    2023/03/17 by Daochen Zha, Zha, Daochen, Zaid Pervaiz Bhat +11 · 37 citations
    Business, Management and Accounting · Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Big Data and Business Intelligence #Data Quality and Management #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  7. Stacked Approximated Regression Machine: A Simple Deep Learning Approach
    2016/08/14 by Zhangyang Wang, Shiyu Chang, Wang, Zhangyang +11 · 2 voices
    #cs.LG #cs.CV
  8. Techniques for Interpretable Machine Learning
    2018/07/31 by Mengnan Du, Du, Mengnan, Ninghao Liu +3 · 15 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  9. Auto-Keras: An Efficient Neural Architecture Search System
    2018/06/27 by Haifeng Jin, Qingquan Song, Jin, Haifeng +3 · 14 citations
    Computer Science · #Machine Learning and Data Classification #Advanced Neural Network Applications #Machine Learning and Algorithms
  10. The Science of Detecting LLM-Generated Texts
    2023/02/04 by Ruixiang Tang, Yu-Neng Chuang, Tang, Ruixiang +3 · 16 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  11. LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
    2024/01/02 by Hongye Jin, Xiaotian Han, Jin, Hongye +13 · 16 citations
    Computer Science · #Handwritten Text Recognition Techniques #Natural Language Processing Techniques #Machine Learning and Algorithms
  12. Understanding and Mitigating Numerical Sources of Nondeterminism in LLM Inference
    2025/06/11 by Jiayi Yuan, Hao Li, Yuan, Jiayi +17 · 1 voice · 8 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #cs.CL
  13. Learning to Compress Prompt in Natural Language Formats
    2024/02/28 by Yu-Neng Chuang, Chuang, Yu-Neng, Tianwei Xing +9 · 15 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech and dialogue systems
  14. An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks
    2020/06/15 by Ruixiang Tang, Mengnan Du, Tang, Ruixiang +7 · 8 citations
    Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  15. Does Synthetic Data Generation of LLMs Help Clinical Text Mining?
    2023/03/08 by Ruixiang Tang, Tang, Ruixiang, Xiaotian Han +5 · 12 citations
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  16. RLCard: A Toolkit for Reinforcement Learning in Card Games
    2019/10/10 by Daochen Zha, Zha, Daochen, Kwei-Herng Lai +11 · 7 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #FOS: Computer and information sciences #Reinforcement Learning in Robotics
  17. DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
    2021/06/11 by Daochen Zha, Zha, Daochen, Jingru Xie +11 · 7 citations
    Computer Science · Psychology · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Digital Games and Media #FOS: Computer and information sciences #Gambling Behavior and Treatments #Machine Learning (cs.LG)
  18. Model Complexity of Deep Learning: A Survey
    2021/03/08 by Xia Hu, Hu, Xia, Lingyang Chu +7 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
  19. Learning to Route LLMs with Confidence Tokens
    2024/10/17 by Yu-Neng Chuang, Chuang, Yu-Neng, Prathusha Kameswara Sarma +11 · 14 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Open Education and E-Learning #Teaching and Learning Programming
  20. Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking
    2023/03/20 by Ruixiang Tang, Tang, Ruixiang, Qizhang Feng +7 · 7 citations
    Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Machine Learning (cs.LG) #Multimedia (cs.MM)
  21. Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
    2021/07/06 by Kaixiong Zhou, Zhou, Kaixiong, Xiao Huang +11 · 6 citations
    Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  22. A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking
    2022/10/14 by Keyu Duan, Zirui Liu, Duan, Keyu +13 · 6 citations
    Computer Science · Engineering · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
  23. Fairness in Deep Learning: A Computational Perspective
    2019/08/23 by Mengnan Du, Fan Yang, Du, Mengnan +5 · 3 citations
    Social Sciences · Computer Science · #Ethics and Social Impacts of AI #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI)
  24. Mitigating Gender Bias in Captioning Systems
    2020/06/15 by Ruixiang Tang, Tang, Ruixiang, Mengnan Du +9 · 3 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition
  25. Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning
    2020/09/16 by Daochen Zha, Zha, Daochen, Kwei-Herng Lai +5 · 3 citations
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Network Security and Intrusion Detection
  26. Sparse-Interest Network for Sequential Recommendation
    2021/02/18 by Qiaoyu Tan, Tan, Qiaoyu, Jianwei Zhang +11 · 3 citations
    Computer Science · Decision Sciences · #Recommender Systems and Techniques #Advanced Graph Neural Networks #Advanced Bandit Algorithms Research
  27. Auto-GNN: Neural Architecture Search of Graph Neural Networks
    2019/09/07 by Kaixiong Zhou, Zhou, Kaixiong, Qingquan Song +5 · 7 citations
    Computer Science · #Advanced Graph Neural Networks #Advanced Neural Network Applications #Multimodal Machine Learning Applications
  28. RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations
    2022/10/19 by Zirui Liu, Liu, Zirui, Shengyuan Chen +9 · 4 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
  29. Experience Replay Optimization
    2019/06/19 by Daochen Zha, Kwei-Herng Lai, Zha, Daochen +5 · 3 citations
    Computer Science · Decision Sciences · Neuroscience · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mind wandering and attention #Reinforcement Learning in Robotics
  30. KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches
    2024/07/01 by Jiayi Yuan, Yuan, Jiayi, Hongyi Liu +21 · 5 citations
    Computer Science · #Algorithms and Data Compression #Parallel Computing and Optimization Techniques #Advanced Data Storage Technologies
  31. Policy-GNN: Aggregation Optimization for Graph Neural Networks
    2020/06/26 by Kwei-Herng Lai, Lai, Kwei-Herng, Daochen Zha +5 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Recommender Systems and Techniques
  32. Learning to Hash with Graph Neural Networks for Recommender Systems
    2020/03/04 by Qiaoyu Tan, Ninghao Liu, Tan, Qiaoyu +9 · 3 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning
  33. LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem
    2024/02/29 by Shaochen Zhong, Liu, Hongyi, Zhong, Shaochen +20 · 4 citations
    Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #Digitalization, Law, and Regulation #FOS: Computer and information sciences
  34. CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks
    2021/10/28 by Haotian Xue, Xue, Haotian, Kaixiong Zhou +11 · 2 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
  35. MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs
    2022/01/07 by Qiaoyu Tan, Ninghao Liu, Tan, Qiaoyu +9 · 2 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #Complex Network Analysis Techniques
  36. MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
    2022/09/30 by Xiaotian Han, Tong Zhao, Han, Xiaotian +7 · 2 citations
    Computer Science · Engineering · Materials Science · #Advanced Graph Neural Networks #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Social and Information Networks (cs.SI)
  37. AD-LLM: Benchmarking Large Language Models for Anomaly Detection
    2024/12/15 by Tiankai Yang, Yi Nian, Yang, Tiankai +21 · 4 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Network Security and Intrusion Detection #Topic Modeling
  38. DEGREE: Decomposition Based Explanation For Graph Neural Networks
    2023/05/22 by Qizhang Feng, Ninghao Liu, Feng, Qizhang +9 · 2 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
  39. Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt
    2023/05/17 by Zhaozhuo Xu, Zirui Liu, Xu, Zhaozhuo +13 · 2 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
  40. FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency Trade-off in Language Model Inference
    2024/01/08 by Zirui Liu, Qingquan Song, Liu, Zirui +11 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  41. Explainable Recommender Systems via Resolving Learning Representations
    2020/08/21 by Ninghao Liu, Yong Ge, Liu, Ninghao +9 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Recommender Systems and Techniques #Explainable Artificial Intelligence (XAI)
  42. Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study
    2021/08/24 by Tianlong Chen, Chen, Tianlong, Kaixiong Zhou +11 · 1 citation
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning in Materials Science
  43. FMP: Toward Fair Graph Message Passing against Topology Bias
    2022/02/08 by Zhimeng Jiang, Jiang, Zhimeng, Xiaotian Han +11 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  44. Fair Machine Learning in Healthcare: A Review
    2022/06/29 by Qizhang Feng, Mengnan Du, Feng, Qizhang +5 · 1 citation
    Economics, Econometrics and Finance · Health Professions · Social Sciences · #Health Systems, Economic Evaluations, Quality of Life #Healthcare cost, quality, practices #Ethics and Social Impacts of AI
  45. MolCPT: Molecule Continuous Prompt Tuning to Generalize Molecular Representation Learning
    2022/12/20 by Cameron Diao, Diao, Cameron, Kaixiong Zhou +6 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Chemical Synthesis and Analysis #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Quantitative Methods (q-bio.QM)
  46. Efficient XAI Techniques: A Taxonomic Survey
    2023/02/07 by Yu-Neng Chuang, Chuang, Yu-Neng, Guanchu Wang +11 · 1 citation
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting #Traffic Prediction and Management Techniques
  47. CoRTX: Contrastive Framework for Real-time Explanation
    2023/03/05 by Yu-Neng Chuang, Guanchu Wang, Chuang, Yu-Neng +11 · 1 citation
    Computer Science · #Explainable Artificial Intelligence (XAI) #Topic Modeling #Machine Learning in Healthcare
  48. Context-aware Domain Adaptation for Time Series Anomaly Detection
    2023/04/15 by Kwei-Herng Lai, Lan Wang, Lai, Kwei-Herng +10 · 1 citation
    Computer Science · Medicine · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Data-Driven Disease Surveillance #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
  49. Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models
    2023/05/03 by Daochen Zha, Zha, Daochen, Louis Feng +19 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Machine Learning and Data Classification #Neural Networks and Applications
  50. An Early Warning of Emerging Biosecurity Risks in Frontier LLMs
    2026/07/20 by Zhida He, Xia Hu, Baichen Le +20 · 1 voice
    #cs.CL #q-bio.GN
  51. A Unified Taylor Framework for Revisiting Attribution Methods
    2020/08/21 by Huiqi Deng, Na Zou, Deng, Huiqi +9 · 1 citation
    Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Bayesian Modeling and Causal Inference
  52. Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
    2025/02/15 by Leisheng Yu, Yu, Leisheng, Minxing Zhang +4 · 1 citation
    Computer Science · Engineering · #Advanced Data Processing Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Time Series Analysis and Forecasting
  53. Towards Interaction Detection Using Topological Analysis on Neural Networks
    2020/10/25 by Zirui Liu, Qingquan Song, Liu, Zirui +9 · 1 citation
    Computer Science · #Topological and Geometric Data Analysis #Human Pose and Action Recognition #Anomaly Detection Techniques and Applications
  54. Do LLMs Know Their Vulnerable Scenarios?
    2026/07/26 by Ziheng Peng, Huiqi Deng, Haoran Jing +5
    #cs.AI #cs.CR
  55. Agent Skills Matter: Inferring Proprietary Skills from Execution Trajectories
    2026/07/28 by Jianing Geng, Ruiqi He, Zekun Fei +6
    Computer Science · #cs.AI