All Stories

  1. Ultrafast grid impedance identification in dq-asymmetric three-phase power systems
  2. Automated Information Flow Selection for Multi-scenario Multi-task Recommendation
  3. System Strength in Power Electronics-Dominated Power Systems: An Enabler to Stability and Control
  4. Aggregate Grid-Forming Control of Distributed Energy Resources
  5. Dynamic Virtual Power Plants With Robust Frequency Regulation Capability
  6. A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation
  7. An adaptive length-variation based evolutionary multitasking algorithm for feature selection of high-dimensional classification
  8. Quantifying Power Disturbance Tolerance to Guarantee Voltage Security in DC Microgrids
  9. Theories and methods of intelligent regulation and control in renewable energy systems
  10. A Saturated Cross-Forming Control for Stability Enhancement of Grid-Forming Inverters During Grid Fault Recovery
  11. Decentralized Parametric Stability Certificates for Grid-Forming Converter Control
  12. Hybrid Oscillation Damping and Inertia Management for Distributed Energy Resources
  13. Timing is Important: Risk-aware Fund Allocation based on Time-Series Forecasting
  14. Retrieval Augmented Cross-Domain LifeLong Behavior Modeling for Enhancing Click-through Rate Prediction
  15. On the Evaluation of Frequency-Forming and Voltage-Forming Capabilities of Power Converters
  16. How to Tailor Power-Electronic Inertia to the Constraints of its Resource
  17. Scenario Shared Instance Modeling for Click-through Rate Prediction
  18. Multi-scenario Instance Embedding Learning for Deep Recommender Systems
  19. Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
  20. Comparison of Current-Limiting Strategies for Grid-Forming Converters Under Grid Faults
  21. Decentralized Stability Analysis and Region of Attraction Estimation for Multi-Bus DC Microgrids
  22. Stability-Constrained GFM/GFL Capacity Ratio: Modeling and Evaluation
  23. Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models
  24. Complex-Frequency Synchronization of Converter-Based Power Systems
  25. Cross-Forming Control and Fault Current Limiting for Grid-Forming Inverters
  26. Optimal Dynamic Ancillary Services Provision Based on Local Power Grid Perception
  27. A Graph-Theoretic Approach for Ensuring Stability in DC Microgrid Networks During Mode Switching
  28. Decentralized Stability Analysis for DC Microgrids with Heterogeneous Dynamics
  29. Aggregate Grid-Forming Control of Distributed Energy Resources for Fast Ancillary Services
  30. Dynamic Complex-Frequency Control of Grid-Forming Converters
  31. Masked Random Noise for Communication-Efficient Federated Learning
  32. OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction
  33. Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation
  34. End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling
  35. Dynamic ancillary services: From grid codes to transfer function-based converter control
  36. Saturation-informed current-limiting control for grid-forming converters
  37. Quantitative Stability Conditions for Grid-Forming Converters With Complex Droop Control
  38. Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing
  39. AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems
  40. Passivity and Decentralized Stability Conditions for Grid-Forming Converters
  41. MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems
  42. Grid-Forming and Spatially Distributed Control Design of Dynamic Virtual Power Plants
  43. Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing
  44. MIMO Grid Impedance Identification of Three-Phase Power Systems: Parametric vs. Nonparametric Approaches
  45. Prior-Guided Accuracy-Bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation
  46. Explicit Feature Interaction-aware Uplift Network for Online Marketing
  47. Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing
  48. Optimizing Feature Set for Click-Through Rate Prediction
  49. DIWIFT: Discovering Instance-wise Influential Features for Tabular Data
  50. Learning to Retrieve User Behaviors for Click-through Rate Estimation
  51. Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset
  52. AIM: Automatic Interaction Machine for Click-Through Rate Prediction
  53. Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning
  54. Debiased Recommendation with User Feature Balancing
  55. Nonlinear Stability of Complex Droop Control in Converter-Based Power Systems
  56. OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction
  57. Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation
  58. Transient Stability of Low-Inertia Power Systems With Inverter-Based Generation
  59. Click-through rate prediction using transfer learning with fine-tuned parameters
  60. ReLoop
  61. Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms
  62. Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross- Modal Denoising Networks
  63. MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction
  64. Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction
  65. Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank
  66. Contrastive Learning with Positive-Negative Frame Mask for Music Representation
  67. PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation
  68. Synchronization Instability of Inverter-Based Generation During Asymmetrical Grid Faults
  69. Improving Knowledge Tracing with Collaborative Information
  70. A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation
  71. Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation
  72. IPGAN: Generating Informative Item Pairs by Adversarial Sampling
  73. PLL Synchronization Stability of Grid-Connected Multiconverter Systems
  74. KDCRec: Knowledge Distillation for Counterfactual Recommendation Via Uniform Data
  75. Open Benchmarking for Click-Through Rate Prediction
  76. Top-N Recommendation with Counterfactual User Preference Simulation
  77. Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models
  78. SimpleX
  79. UltraGCN
  80. GRID CODE FORMULATION RECOMMENDATIONS ON INVERTER-BASED GENERATION DURING ASYMMETRICAL GRID FAULTS
  81. HYBRID AVERAGE-VALUE MODELLING OF DFIG-BASED WIND ENERGY CONVERSION SYSTEMS
  82. TRANSIENT STABILITY OF LOW-INERTIA POWER GRID WITH INVERTER-BASED GENERATIONS
  83. Why Do We Click
  84. Mitigating Confounding Bias in Recommendation via Information Bottleneck
  85. Mobile App Cross-Domain Recommendation with Multi-Graph Neural Network
  86. An Embedding Learning Framework for Numerical Features in CTR Prediction
  87. Retrieval & Interaction Machine for Tabular Data Prediction
  88. Dual Graph enhanced Embedding Neural Network for CTR Prediction
  89. Deep Learning for Click-Through Rate Estimation
  90. UNBERT: User-News Matching BERT for News Recommendation
  91. A Graph-Enhanced Click Model for Web Search
  92. Cross-Batch Negative Sampling for Training Two-Tower Recommenders
  93. ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table
  94. Hierarchical Cross-Modal Graph Consistency Learning for Video-Text Retrieval
  95. RMBERT: News Recommendation via Recurrent Reasoning Memory Network over BERT
  96. AMM: Attentive Multi-field Matching for News Recommendation
  97. Modeling of wind turbine generators for power system stability studies: A review
  98. Dual Sequence Transformer for Query-based Interactive Recommendation
  99. Graph Heterogeneous Multi-Relational Recommendation
  100. Modeling High-order Interactions across Multi-interests for Micro-video Reommendation (Student Abstract)
  101. BiPS: Hotness-aware Bi-tier Parameter Synchronization for Recommendation Models
  102. An Adversarial Imitation Click Model for Information Retrieval
  103. Topic-enhanced knowledge-aware retrieval model for diverse relevance estimation
  104. Resynchronization Analysis and Improvement of Grid-Connected VSCs During Grid Faults
  105. Transient Stability of Power Systems Integrated With Inverter-Based Generation
  106. Transient Stability of Hybrid Power Systems Dominated by Different Types of Grid-Forming Devices
  107. Adaptive Spatio-Temporal Graph Enhanced Vision-Language Representation for Video QA
  108. QA4PRF: A Question Answering Based Framework for Pseudo Relevance Feedback
  109. Top-aware reinforcement learning based recommendation
  110. AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction
  111. TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation
  112. Personalized Re-ranking with Item Relationships for E-commerce
  113. Ensembled CTR Prediction via Knowledge Distillation
  114. U-rank
  115. Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos
  116. Synchronization Stability Analysis and Enhancement of Grid-Tied Multi-Converter Systems
  117. State representation modeling for deep reinforcement learning based recommendation
  118. A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks
  119. AutoFIS
  120. AutoGroup
  121. A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data
  122. Neighbor Interaction Aware Graph Convolution Networks for Recommendation
  123. Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning
  124. JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation
  125. Multi-Branch Convolutional Network for Context-Aware Recommendation
  126. Influence Function for Unbiased Recommendation
  127. Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach
  128. Transient Stability Analysis and Enhancement of Renewable Energy Conversion System During LVRT
  129. AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction
  130. Dual-attentional Factorization-Machines based Neural Network for User Response Prediction
  131. MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection
  132. End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding
  133. BiGAN: Collaborative Filtering with Bidirectional Generative Adversarial Networks
  134. Multi-graph Convolution Collaborative Filtering
  135. Adaptive VSG Control Scheme for Large Scale Wind Farms to Improve Frequency Response Characteristics
  136. Dynamic Equivalent Modeling of Wind Power Plants for Various Timescale Small Signal Stability Analyses
  137. Message from the Mobile Data & AI Special Track Chairs
  138. Transient Stability Analysis of Grid-Tied Converters Considering PLL’s Nonlinearity
  139. Model-free inference of diffusion networks using RKHS embeddings
  140. Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data
  141. An overview on wind farm modelling for power system stability studies
  142. Reinvestigation of Single-Phase FLLs
  143. Synchronization Stability Analysis of Grid-Tied Power Converters under Severe Grid Voltage Sags
  144. Collaborative Filtering with Graph-based Implicit Feedback
  145. Field-aware probabilistic embedding neural network for CTR prediction
  146. A Generalized Design Framework of Notch Filter Based Frequency-Locked Loop for Three-Phase Grid Voltage
  147. Coordinated Control for Large-Scale Wind Farms with LCC-HVDC Integration
  148. VSG Control for DFIG-based Islanded Wind Farm with LCC-HVDC Integration
  149. Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification
  150. Collaborative Filtering with Graph-Based Implicit Feedback
  151. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
  152. A Graph-Based Push Service Platform
  153. Holistic Neural Network for CTR Prediction
  154. Valuating Queries for Data Trading in Modern Cities
  155. Mining target users for online marketing based on App Store data
  156. OceanST
  157. A Panoramic View of 3G Data/Control-Plane Traffic: Mobile Device Perspective
  158. Equivalent and simplified modelling of wind farm for small-signal stability analysis