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Lijun Zhang

  1. Adaptive Online Learning in Dynamic Environments
    2018/10/25 by Lijun Zhang, Shiyin Lu, Zhang, Lijun +3 · 20 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Online Learning and Analytics #Reinforcement Learning in Robotics
  2. Dynamic Regret of Convex and Smooth Functions
    2020/07/07 by Peng Zhao, Zhao, Peng, Yujie Zhang +5 · 12 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  3. CricaVPR: Cross-image Correlation-aware Representation Learning for Visual Place Recognition
    2024/02/29 by Feng Lu, Xiangyuan Lan, Lu, Feng +9 · 19 citations
    Engineering · Computer Science · #Robotics and Sensor-Based Localization #Advanced Image and Video Retrieval Techniques #Video Surveillance and Tracking Methods
  4. Asynchronous Large Language Model Enhanced Planner for Autonomous Driving
    2024/06/20 by Yuan Chen, Chen, Yuan, Zihan Ding +9 · 16 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Robotic Path Planning Algorithms #Robotics (cs.RO)
  5. Multi-Objective Generalized Linear Bandits
    2019/05/30 by Shiyin Lu, Guanghui Wang, Lu, Shiyin +5 · 6 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Advanced Wireless Network Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  6. Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition
    2024/02/22 by Feng Lu, Lu, Feng, Lijun Zhang +9 · 12 citations
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics and Sensor-Based Localization #Video Surveillance and Tracking Methods
  7. Online Stochastic Linear Optimization under One-bit Feedback
    2015/09/25 by Lijun Zhang, Tianbao Yang, Zhang, Lijun +5 · 5 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Optimization and Search Problems #Stochastic Gradient Optimization Techniques
  8. Revisiting Smoothed Online Learning
    2021/02/13 by Lijun Zhang, Wei Jiang, Zhang, Lijun +5 · 5 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Control (math.OC) #Optimization and Search Problems
  9. Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
    2022/02/24 by Zhuoning Yuan, Yuexin Wu, Yuan, Zhuoning +11 · 6 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #MicroRNA in disease regulation #Optimization and Control (math.OC)
  10. A Survey on Visual Mamba
    2024/04/24 by Hanwei Zhang, Zhang, Hanwei, Ying Zhu +9 · 9 citations
    Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Urban Design and Spatial Analysis
  11. How does Weight Correlation Affect the Generalisation Ability of Deep Neural Networks
    2020/10/12 by Gaojie Jin, Jin, Gaojie, Xinping Yi +9 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural Networks and Applications
  12. Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees
    2024/06/11 by Si‐Jia Chen, Yibo Wang, Chen, Sijia +13 · 10 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 #Topic Modeling
  13. Stochastic Approximation Approaches to Group Distributionally Robust Optimization and Beyond
    2023/02/18 by Lijun Zhang, Zhang, Lijun, Bai, Haomin +6 · 5 citations
    Computer Science · Decision Sciences · #Blockchain Technology Applications and Security #FOS: Computer and information sciences #Machine Learning (cs.LG) #Risk and Portfolio Optimization #Stochastic Gradient Optimization Techniques
  14. Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization
    2023/02/09 by Sijia Chen, Chen, Sijia, Wei-Wei Tu +5 · 5 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
  15. Efficient Methods for Non-stationary Online Learning
    2023/09/16 by Peng Zhao, Yanfeng Xie, Zhao, Peng +5 · 6 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  16. Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization
    2023/05/19 by Zi-Hao Qiu, Quanqi Hu, Qiu, Zi-Hao +9 · 5 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Cancer-related molecular mechanisms research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Optimization and Control (math.OC) #Text and Document Classification Technologies
  17. Randomized Stochastic Variance-Reduced Methods for Multi-Task Stochastic Bilevel Optimization
    2021/05/05 by Zhishuai Guo, Guo, Zhishuai, Quanqi Hu +5 · 4 citations
    Computer Science · Decision Sciences · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Risk and Portfolio Optimization #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  18. Improving Neural Network Verification through Spurious Region Guided Refinement
    2020/10/15 by Pengfei Yang, Yang, Pengfei, Renjue Li +13 · 3 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences
  19. Binary Excess Risk for Smooth Convex Surrogates
    2014/02/07 by Mehrdad Mahdavi, Mahdavi, Mehrdad, Lijun Zhang +3 · 2 citations
    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
  20. Probabilistic Verification of Neural Networks Against Group Fairness
    2021/07/18 by Bing Sun, Jun Sun, Sun, Bing +5 · 3 citations
    Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  21. Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
    2022/02/24 by Zi-Hao Qiu, Quanqi Hu, Qiu, Zi-Hao +7 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Optimization and Control (math.OC) #Recommender Systems and Techniques
  22. Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards
    2023/10/28 by Bo Xue, Yimu Wang, Xue, Bo +7 · 4 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Age of Information Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Optimization and Search Problems
  23. Counterexample-Guided Polynomial Loop Invariant Generation by Lagrange Interpolation
    2015/02/15 by Yu‐Fang Chen, Chen, Yu-Fang, Chih-Duo Hong +5 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Formal Methods in Verification #Logic, programming, and type systems #Numerical Methods and Algorithms #Software Engineering (cs.SE)
  24. Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs
    2020/04/28 by Bo Xue, Xue, Bo, Guanghui Wang +5 · 2 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Smart Grid Energy Management
  25. Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the O(1/T) Convergence Rate
    2019/01/27 by Lijun Zhang, Zhi‐Hua Zhou, Zhang, Lijun +1 · 3 citations
    Computer Science · Engineering · Decision Sciences · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Risk and Portfolio Optimization
  26. A Novel Learning Algorithm for Büchi Automata based on Family of DFAs and Classification Trees
    2016/10/24 by Yong Li, Yu‐Fang Chen, Li, Yong +5 · 2 citations
    Computer Science · #Machine Learning and Algorithms #semigroups and automata theory #Algorithms and Data Compression
  27. Query-Efficient Black-Box Attack by Active Learning
    2018/09/13 by Pengcheng Li, Li, Pengcheng, Jinfeng Yi +3 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  28. Octopus: Alleviating Hallucination via Dynamic Contrastive Decoding
    2025/03/01 by Wei Suo, Suo, Wei, Lijun Zhang +8 · 7 citations
    Chemistry · Pharmacology, Toxicology and Pharmaceutics · Psychology · #Artificial Intelligence (cs.AI) #Chemical synthesis and alkaloids #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Plant-based Medicinal Research #Psychedelics and Drug Studies
  29. DeepCDCL: An CDCL-based Neural Network Verification Framework
    2024/03/12 by Zongxin Liu, Pengfei Yang, Liu, Zongxin +5 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning
  30. Probably Safe or Live
    2014/01/28 by Joost-Pieter Katoen, Lei Song, Katoen, Joost-Pieter +3 · 1 citation
    Computer Science · #F.4.1 #FOS: Computer and information sciences #Formal Methods in Verification #Logic in Computer Science (cs.LO) #Logic, Reasoning, and Knowledge #Logic, programming, and type systems
  31. A Simple Probabilistic Extension of Modal Mu-calculus
    2015/04/29 by Wanwei Liu, Liu, Wanwei, Lei Song +5 · 1 citation
    Computer Science · #D.2.4 #F.4.1 #FOS: Computer and information sciences #Formal Methods in Verification #Logic in Computer Science (cs.LO) #Logic, Reasoning, and Knowledge #Logic, programming, and type systems
  32. Intrinsic transparent conductors without doping
    2015/06/29 by Xiuwen Zhang, Zhang, Xiuwen, Lijun Zhang +5 · 1 citation
    Energy · Materials Science · Physics and Astronomy · #Advanced Condensed Matter Physics #Advanced Photocatalysis Techniques #Copper-based nanomaterials and applications #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)
  33. Extending Hybrid CSP with Probability and Stochasticity
    2015/09/05 by Peng Yu, Shuling Wang, Peng, Yu +5 · 1 citation
    Computer Science · #Advanced Software Engineering Methodologies #FOS: Computer and information sciences #FOS: Electrical engineering #Formal Methods in Verification #Logic in Computer Science (cs.LO) #Petri Nets in System Modeling #Systems and Control (eess.SY) #electronic engineering #information engineering
  34. Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret Guarantees
    2023/05/19 by Yibo Wang, Wenhao Yang, Wang, Yibo +13 · 3 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Cognitive Radio Networks and Spectrum Sensing #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
  35. A Richer Theory of Convex Constrained Optimization with Reduced Projections and Improved Rates
    2016/08/11 by Tianbao Yang, Qihang Lin, Yang, Tianbao +3 · 1 citation
    Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  36. Dynamic Regret of Strongly Adaptive Methods
    2017/01/26 by Lijun Zhang, Zhang, Lijun, Tianbao Yang +5 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Cognitive Radio Networks and Spectrum Sensing #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG)
  37. Optimal Stochastic Strongly Convex Optimization with a Logarithmic Number of Projections
    2013/04/19 by Jianhui Chen, Chen, Jianhui, Tianbao Yang +7 · 2 citations
    Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques
  38. Improved Analysis for Dynamic Regret of Strongly Convex and Smooth Functions
    2020/06/10 by Peng Zhao, Lijun Zhang, Zhao, Peng +1 · 1 citation
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Search Problems #Sparse and Compressive Sensing Techniques
  39. Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
    2024/10/01 by Dawei Zhou, Zhou, Da-Wei, Zi-Wen Cai +7 · 4 citations
    Computer Science · Psychology · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Innovative Teaching and Learning Methods #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG)
  40. Projection-free Distributed Online Learning with Sublinear Communication Complexity
    2021/03/20 by Yuanyu Wan, Wan, Yuanyu, Guanghui Wang +5 · 1 citation
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  41. Online Convex Optimization with Continuous Switching Constraint
    2021/03/21 by Guanghui Wang, Yuanyu Wan, Wang, Guanghui +5 · 1 citation
    Decision Sciences · Computer Science · Engineering · #Advanced Bandit Algorithms Research #Reinforcement Learning in Robotics #Sparse and Compressive Sensing Techniques
  42. ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization
    2021/04/07 by Sanqing Qu, Guang Chen, Qu, Sanqing +9 · 1 citation
    Computer Science · #Human Pose and Action Recognition #Anomaly Detection Techniques and Applications #Multimodal Machine Learning Applications
  43. TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models
    2023/08/11 by Liang Zhang, Nathaniel Xu, Zhang, Liang +9 · 2 citations
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Autonomous Vehicle Technology and Safety #FOS: Computer and information sciences #Traffic and Road Safety
  44. Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing
    2025/02/10 by Sihao Wu, Xiaonan Si, Wu, Sihao +13 · 3 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Digital Media and Visual Art #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Recommender Systems and Techniques
  45. Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction
    2024/06/01 by Wei Jiang, Sifan Yang, Jiang, Wei +5 · 4 citations
    Computer Science · #Evolutionary Algorithms and Applications
  46. Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor
    2022/05/02 by Lijun Zhang, Zhang, Lijun, Wei Jiang +5 · 1 citation
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  47. Recovering the Optimal Solution by Dual Random Projection
    2012/11/13 by Lijun Zhang, Mehrdad Mahdavi, Zhang, Lijun +7 · 2 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  48. Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization
    2023/05/30 by Quanqi Hu, Hu, Quanqi, Zi-Hao Qiu +7 · 1 citation
    Computer Science · Decision Sciences · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Risk and Portfolio Optimization #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  49. Model Predictive Control with Reach-avoid Analysis
    2023/05/15 by Dejin Ren, Wanli Lu, Ren, Dejin +7 · 1 citation
    Engineering · Biochemistry, Genetics and Molecular Biology · #Advanced Control Systems Optimization #Microbial Metabolic Engineering and Bioproduction #Fault Detection and Control Systems
  50. Improved Regret for Bandit Convex Optimization with Delayed Feedback
    2024/02/14 by Yuanyu Wan, Chang Yao, Wan, Yuanyu +5 · 2 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Smart Grid Energy Management
  51. AANet: Aggregation and Alignment Network with Semi-hard Positive Sample Mining for Hierarchical Place Recognition
    2023/10/08 by Feng Lu, Lijun Zhang, Lu, Feng +7 · 1 citation
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Remote-Sensing Image Classification
  52. Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization
    2022/07/18 by Wei Jiang, Jiang, Wei, Gang Li +7 · 1 citation
    Decision Sciences · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Risk and Portfolio Optimization #Sparse and Compressive Sensing Techniques
  53. Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
    2024/06/02 by Lijia Yu, Yu, Lijia, Shuang Liu +7 · 2 citations
    Computer Science · #Advanced Malware Detection Techniques #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Statistics Theory (math.ST)
  54. Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss
    2019/05/28 by Pengcheng Li, Li, Pengcheng, Jinfeng Yi +5 · 1 citation
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Adversarial Robustness in Machine Learning #Bacillus and Francisella bacterial research #Anomaly Detection Techniques and Applications
  55. Patch Synthesis for Property Repair of Deep Neural Networks
    2024/04/02 by Zhiming Chi, Chi, Zhiming, Jianan Ma +11 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning
  56. Mirror Descent Under Generalized Smoothness
    2025/02/02 by Dingzhi Yu, Wei Jiang, Yu, Dingzhi +6 · 2 citations
    Engineering · #Advanced Numerical Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
  57. Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond
    2024/03/06 by Dingzhi Yu, Yunuo Cai, Yu, Dingzhi +5 · 1 citation
    Decision Sciences · #Advanced Statistical Process Monitoring #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  58. PD3: A Project Duplication Detection Framework via Adapted Multi-Agent Debate
    2025/05/23 by Dezheng Bao, Yueci Yang, Bao, Dezheng +20 · 1 citation
    #cs.AI #cs.CL #cs.LG
  59. SAdam: A Variant of Adam for Strongly Convex Functions
    2019/05/08 by Guanghui Wang, Wang, Guanghui, Shiyin Lu +5 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
  60. Training Verification-Friendly Neural Networks via Neuron Behavior Consistency
    2024/12/17 by Zongxin Liu, Liu, Zongxin, Zhe Zhao +11 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
  61. Knowledge Distillation via Query Selection for Detection Transformer
    2024/09/10 by Yi Liu, Luting Wang, Liu, Yi +11 · 1 citation
    Computer Science · #Neural Networks and Applications
  62. Homoclinic bifurcation of limit cycles in near-Hamiltonian systems on the cylinder
    2021/10/04 by Yixia Shi, Maoan Han, Lijun Zhang · 1 citation
    Mathematics · Physics and Astronomy · #Advanced Differential Equations and Dynamical Systems #Quantum chaos and dynamical systems #Advanced Differential Geometry Research
  63. Organizing Principles for Moiré Quantum Matter
    2026/07/27 by Qiaoling Xu, Yifan Gao, Tao Zhang +16
    #cond-mat.mtrl-sci #cond-mat.str-el
  64. SAGE-Net: Semantics-Augmented Geometric Encoder for Material Property Prediction
    2026/07/24 by Guanghui Zhang, Yuxuan Yao, Kieran B. Spooner +4
    #cond-mat.mtrl-sci
  65. Beyond Semantic Equivalence: Logical Graphs for LLM Uncertainty Quantification
    2026/07/18 by Yanni Dong, Minghua Liu, Meiling Zhu +2
    #cs.AI