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