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Rong Jin

  1. DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning
    DeepSeek-R1 shows an LLM can learn strong step-by-step reasoning from pure reinforcement learning, with no human-labeled reasoning examples.
    2025/01/22 by DeepSeek-AI, Daya Guo, Dejian Yang +404 · 93 voices · 1692 citations
    Computer Science · #Reinforcement Learning in Robotics #Data Stream Mining Techniques #Explainable Artificial Intelligence (XAI)
  2. DeepSeek-V3 Technical Report
    2024/12/27 by DeepSeek-AI, Aixin Liu, Liu, Aixin +404 · 39 voices · 7 citations
    Computer Science · Engineering · #Distributed and Parallel Computing Systems #Robotics and Automated Systems #cs.AI #cs.CL
  3. FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
    2022/01/30 by Tian Zhou, Ziqing Ma, Zhou, Tian +9 · 190 citations
    Computer Science · Decision Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
  4. One Fits All:Power General Time Series Analysis by Pretrained LM
    2023/02/23 by Tian Zhou, Zhou, Tian, Peisong Niu +7 · 107 citations
    Computer Science · #Time Series Analysis and Forecasting #Anomaly Detection Techniques and Applications #Topic Modeling
  5. MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
    2024/08/23 by Yifan Zhang, Huanyu Zhang, Zhang, Yi-Fan +22 · 71 citations
    Computer Science · #Semantic Web and Ontologies
  6. Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints
    2011/11/25 by Mehrdad Mahdavi, Mahdavi, Mehrdad, Rong Jin +3 · 17 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques
  7. Jailbreaking Attack against Multimodal Large Language Model
    2024/02/04 by Zhenxing Niu, Niu, Zhenxing, Haodong Ren +7 · 27 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  8. Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM
    2017/07/24 by Cong Leng, Hao Li, Leng, Cong +5 · 15 citations
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Sparse and Compressive Sensing Techniques
  9. CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
    2021/09/13 by Tongkun Xu, Weihua Chen, Xu, Tongkun +9 · 14 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  10. OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling
    2023/09/22 by Yifan Zhang, Qingsong Wen, Zhang, Yi-Fan +15 · 11 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Smart Grid Energy Management
  11. CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting
    2023/05/20 by Xue Wang, Xue, Wang, Tian Zhou +9 · 9 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Neural Networks and Applications
  12. SoftTriple Loss: Deep Metric Learning Without Triplet Sampling
    2019/09/11 by Qi Qian, Qian, Qi, Lei Shang +9 · 9 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Face recognition and analysis #Human Pose and Action Recognition
  13. Debiasing Multimodal Large Language Models via Penalization of Language Priors
    2024/03/08 by Yifan Zhang, Zhang, YiFan, Weichen Yu +13 · 11 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  14. Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models
    2024/06/12 by Yifan Zhang, Zhang, Yi-Fan, Qingsong Wen +10 · 13 citations
    Computer Science · #Advanced Computational Techniques and Applications
  15. MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
    2025/02/14 by Yifan Zhang, Tao Yu, Zhang, Yi-Fan +37 · 17 citations
    Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Natural Language Processing Techniques #Semantic Web and Ontologies
  16. Hybrid Relation Guided Set Matching for Few-shot Action Recognition
    2022/04/28 by Xiang Wang, Shiwei Zhang, Wang, Xiang +13 · 5 citations
    Computer Science · Medicine · #Human Pose and Action Recognition #Anomaly Detection Techniques and Applications #Diabetic Foot Ulcer Assessment and Management
  17. Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition
    2021/02/01 by Ming Lin, Pichao Wang, Lin, Ming +13 · 4 citations
    Computer Science · Neuroscience · #65D19 #68T07 #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.2.10 #I.4.0 #I.5.2 #J.6 #Machine Learning (cs.LG)
  18. Improved Fine-Tuning by Better Leveraging Pre-Training Data
    2021/11/24 by Ziquan Liu, Liu, Ziquan, Yi Xu +13 · 4 citations
    Computer Science · #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) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  19. An Online Method for A Class of Distributionally Robust Optimization with Non-Convex Objectives
    2020/06/17 by Qi Qi, Qi, Qi, Zhishuai Guo +7 · 3 citations
    Decision Sciences · Mathematics · Computer Science · #Risk and Portfolio Optimization #Statistical Methods and Inference #Stochastic Gradient Optimization Techniques
  20. Grow and Merge: A Unified Framework for Continuous Categories Discovery
    2022/10/09 by Xinwei Zhang, Jianwen Jiang, Zhang, Xinwei +15 · 4 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Text and Document Classification Technologies
  21. NEON+: Accelerated Gradient Methods for Extracting Negative Curvature for Non-Convex Optimization
    2017/12/04 by Yi Xu, Xu, Yi, Rong Jin +3 · 2 citations
    Computer Science · Engineering · Mathematics · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Advanced Optimization Algorithms Research
  22. Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex\n Regularized Problems
    2019/02/20 by Yi Xu, Rong Jin, Xu, Yi +3 · 2 citations
    Computer Science · Engineering · Medicine · #FOS: Mathematics #Optical Imaging and Spectroscopy Techniques #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  23. Making Vision Transformers Efficient from A Token Sparsification View
    2023/03/15 by Shuning Chang, Chang, Shuning, Pichao Wang +11 · 3 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Image Processing Techniques and Applications #Machine Learning (cs.LG)
  24. Unsupervised Visual Representation Learning by Online Constrained K-Means
    2021/05/24 by Qi Qian, Yuanhong Xu, Qian, Qi +7 · 2 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  25. MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection
    2021/11/26 by Zhenhong Sun, Ming Lin, Sun, Zhenhong +9 · 2 citations
    Computer Science · Engineering · Neuroscience · #Advanced Neural Network Applications #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection
  26. Unified Convergence Analysis for Adaptive Optimization with Moving Average Estimator
    2021/04/30 by Zhishuai Guo, Guo, Zhishuai, Yi Xu +7 · 2 citations
    Computer Science · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Topological and Geometric Data Analysis
  27. Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt
    2024/03/22 by Yifan Zhang, Zhang, YiFan, Weiqi Chen +17 · 3 citations
    Computer Science · Economics, Econometrics and Finance · #Advanced Text Analysis Techniques #Complex Systems and Time Series Analysis #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
  28. HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot Action Recognition
    2023/01/09 by Xiang Wang, Wang, Xiang, Shiwei Zhang +11 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Anomaly Detection Techniques and Applications #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition
  29. Binary Excess Risk for Smooth Convex Surrogates
    2014/02/07 by Mehrdad Mahdavi, Lijun Zhang, Mahdavi, Mehrdad +3 · 1 citation
    Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference
  30. First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time
    2017/11/03 by Yi Xu, Rong Jin, Xu, Yi +3 · 1 citation
    Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Topological and Geometric Data Analysis
  31. External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation
    2025/02/20 by Mingfu Liang, Xi Liu, Liang, Mingfu +195 · 5 citations
    Business, Management and Accounting · Computer Science · #Artificial Intelligence (cs.AI) #Consumer Market Behavior and Pricing #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Recommender Systems and Techniques
  32. TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation
    2021/12/02 by Zhaoyuan Yin, Yin, Zhaoyuan, Pichao Wang +11 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  33. Rethinking Supervised Pre-training for Better Downstream Transferring
    2021/10/12 by Yutong Feng, Feng, Yutong, Jianwen Jiang +7 · 1 citation
    Computer Science · #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) #Multimodal Machine Learning Applications
  34. Robust Graph Structure Learning via Multiple Statistical Tests
    2022/10/08 by Yaohua Wang, Wang, Yaohua, Fangyi Zhang +9 · 1 citation
    Physics and Astronomy · Computer Science · Engineering · #Complex Network Analysis Techniques #Advanced Graph Neural Networks #Remote-Sensing Image Classification
  35. FeDXL: Provable Federated Learning for Deep X-Risk Optimization
    2022/10/26 by Zhishuai Guo, Rong Jin, Guo, Zhishuai +5 · 1 citation
    Computer Science · Mathematics · #Privacy-Preserving Technologies in Data #Advanced Causal Inference Techniques #Stochastic Gradient Optimization Techniques
  36. Achieving Human Parity on Visual Question Answering
    2023/04/04 by Ming Yan, Haiyang Xu, Chenliang Li +9 · 1 citation
  37. Excess Risk Bounds for Exponentially Concave Losses
    2014/01/18 by Mehrdad Mahdavi, Rong Jin, Mahdavi, Mehrdad +1 · 2 citations
    Decision Sciences · Computer Science · Engineering · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques
  38. Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting
    2024/02/08 by Yanjun Zhao, Tian Zhou, Zhao, Yanjun +9 · 1 citation
    Computer Science · Economics, Econometrics and Finance · #Artificial Intelligence (cs.AI) #Complex Systems and Time Series Analysis #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Neural Networks and Applications
  39. EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations
    2024/05/19 by Chiyu Zhang, Yifei Sun, Zhang, Chiyu +21 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning in Healthcare #Recommender Systems and Techniques #Topic Modeling
  40. Towards Unified Robustness Against Both Backdoor and Adversarial Attacks
    2024/05/28 by Zhenxing Niu, Yuyao Sun, Niu, Zhenxing +7 · 1 citation
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Security and Verification in Computing #Smart Grid Security and Resilience
  41. A Collaborative Ensemble Framework for CTR Prediction
    2024/11/20 by Xiaolong Liu, Liu, Xiaolong, Zhichen Zeng +29 · 2 citations
    Engineering · #Drilling and Well Engineering #Advanced X-ray and CT Imaging
  42. On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Optimization
    2019/01/30 by Yi Xu, Zhuoning Yuan, Xu, Yi +7 · 1 citation
    Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Mathematics #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  43. ACM: Agentic Context Management for Long Horizon Tasks
    2026/07/26 by Xiaochuan Li, Ryan Ming, Meng Chu +3
    #cs.AI