All Stories

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