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Lina Yao

Identifiers

  • name variant Lina Yao 0.60 · backfill

Papers (127)

  1. Consistency evaluation of benchmarks used for causal discovery cs.AI · 2026 · author #3
  2. Not All Tokens Matter Equally: Dynamic In-context Vector Distillation with Decisive-Token Supervision for Long-form Medical Report Generation cs.CL · 2026 · author #7
  3. Learning Latent Dynamical Causal Processes for Single-Cell Perturbation Prediction cs.LG · 2026 · author #5
  4. What Makes a Representation Good for Single-Cell Perturbation Prediction? cs.LG · 2026 · author #7
  5. FERA: Uncertainty-Aware Federated Reasoning for Large Language Models cs.CL · 2026 · author #8
  6. Skill-CMIB: Multimodal Agent Skill for Consistent Action via Conditional Multimodal Information Bottleneck cs.LG · 2026 · author #7
  7. Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG cs.IR · 2026 · author #7
  8. Factorized Latent Reasoning for LLM-based Recommendation cs.IR · 2026 · author #6
  9. MEG-RAG: Quantifying Multi-modal Evidence Grounding for Evidence Selection in RAG cs.CL · 2026 · author #5
  10. Teaching Prompts to Coordinate: Hierarchical Layer-Grouped Prompt Tuning for Continual Learning cs.CV · 2025 · author #5
  11. Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts cs.LG · 2025 · author #4
  12. CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing cs.CR · 2025 · author #8
  13. Take Only What You Need: Rank Minimization as an Implicit Forgetting Regularizer in Continual Learning cs.CV · 2024 · author #4
  14. Federated Large Language Models: Current Progress and Future Directions cs.LG · 2024 · author #11
  15. When Large Language Models Meet Citation: A Survey cs.DL · 2023 · author #5
  16. Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation cs.IR · 2023 · author #5
  17. On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems cs.IR · 2023 · author #5
  18. Distilled Mid-Fusion Transformer Networks for Multi-Modal Human Activity Recognition cs.HC · 2023 · author #2
  19. Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation cs.IR · 2023 · author #5
  20. Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning cs.IR · 2023 · author #4
  21. Limits of Predictability in Top-N Recommendation cs.IR · 2023 · author #5
  22. Adversarially Contrastive Estimation of Conditional Neural Processes cs.LG · 2023 · author #3
  23. Guided Image-to-Image Translation by Discriminator-Generator Communication cs.CV · 2023 · author #2
  24. Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning cs.CV · 2023 · author #5
  25. Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning cs.CV · 2022 · author #3
  26. A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications cs.LG · 2022 · author #3
  27. Intrinsically Motivated Reinforcement Learning based Recommendation with Counterfactual Data Augmentation cs.IR · 2022 · author #3
  28. The Neural Process Family: Survey, Applications and Perspectives cs.LG · 2022 · author #5
  29. Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey cs.LG · 2022 · author #5
  30. Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects cs.LG · 2022 · author #2
  31. Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems cs.IR · 2022 · author #7
  32. IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation cs.IR · 2022 · author #3
  33. See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activity cs.MM · 2022 · author #2
  34. A Survey on Participant Selection for Federated Learning in Mobile Networks cs.DC · 2022 · author #5
  35. Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review cs.AI · 2022 · author #7
  36. Unsupervised Knowledge Adaptation for Passenger Demand Forecasting cs.LG · 2022 · author #4
  37. Towards Explanation for Unsupervised Graph-Level Representation Learning cs.LG · 2022 · author #6
  38. Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis eess.SP · 2022 · author #3
  39. Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus eess.SP · 2022 · author #3
  40. Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition cs.CV · 2022 · author #5
  41. Model-agnostic Counterfactual Synthesis Policy for Interactive Recommendation cs.IR · 2022 · author #3
  42. Contrastive Graph Learning for Population-based fMRI Classification cs.LG · 2022 · author #2
  43. Contrastive Conditional Neural Processes cs.LG · 2022 · author #2
  44. Diversity-boosted Generalization-Specialization Balancing for Zero-shot Learning cs.CV · 2022 · author #5
  45. Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems cs.LG · 2021 · author #4
  46. Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning cs.CV · 2021 · author #3
  47. An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning cs.CV · 2021 · author #3
  48. Cycle-Balanced Representation Learning For Counterfactual Inference cs.LG · 2021 · author #2
  49. Locality-Sensitive Experience Replay for Online Recommendation cs.IR · 2021 · author #2
  50. AskMe: Joint Individual-level and Community-level Behavior Interaction for Question Recommendation cs.IR · 2021 · author #4
  51. A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions cs.IR · 2021 · author #2
  52. Global Convolutional Neural Processes cs.LG · 2021 · author #2
  53. Unsupervised Person Re-Identification: A Systematic Survey of Challenges and Solutions cs.CV · 2021 · author #4
  54. Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference cs.LG · 2021 · author #2
  55. Attribute-Modulated Generative Meta Learning for Zero-Shot Classification cs.AI · 2021 · author #3
  56. RLTIR: Activity-based Interactive Person Identification based on Reinforcement Learning Tree cs.HC · 2021 · author #3
  57. Task Aligned Generative Meta-learning for Zero-shot Learning cs.CV · 2021 · author #3
  58. An Internet of Things Service Roadmap cs.NI · 2021 · author #8
  59. Generative Adversarial U-Net for Domain-free Medical Image Augmentation eess.IV · 2021 · author #3
  60. Generative Inverse Deep Reinforcement Learning for Online Recommendation cs.IR · 2020 · author #2
  61. Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network cs.AI · 2020 · author #4
  62. TRec: Sequential Recommender Based On Latent Item Trend Information cs.IR · 2020 · author #3
  63. Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding cs.CV · 2020 · author #3
  64. Spectrum-Guided Adversarial Disparity Learning cs.LG · 2020 · author #2
  65. Recommender Systems for the Internet of Things: A Survey cs.IR · 2020 · author #2
  66. MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation cs.IR · 2020 · author #3
  67. Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting cs.LG · 2020 · author #2
  68. Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images eess.IV · 2020 · author #2
  69. NP-PROV: Neural Processes with Position-Relevant-Only Variances cs.LG · 2020 · author #2
  70. Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems cs.LG · 2020 · author #3
  71. Agglomerative Neural Networks for Multi-view Clustering cs.LG · 2020 · author #3
  72. Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems cs.LG · 2020 · author #7
  73. Shape-Oriented Convolution Neural Network for Point Cloud Analysis cs.CV · 2020 · author #3
  74. Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction cs.LG · 2020 · author #2
  75. Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation cs.IR · 2020 · author #3
  76. Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images eess.IV · 2020 · author #2
  77. Survey for Trust-aware Recommender Systems: A Deep Learning Perspective cs.IR · 2020 · author #3
  78. A Multi-view CNN-based Acoustic Classification System for Automatic Animal Species Identification eess.AS · 2020 · author #3
  79. Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities cs.HC · 2020 · author #3
  80. Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction cs.CL · 2019 · author #5
  81. Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection eess.SP · 2019 · author #2
  82. The Future of Misinformation Detection: New Perspectives and Trends cs.SI · 2019 · author #3
  83. Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning cs.LG · 2019 · author #3
  84. Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals eess.SP · 2019 · author #6
  85. Quaternion Collaborative Filtering for Recommendation cs.IR · 2019 · author #2
  86. DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns cs.LG · 2019 · author #2
  87. DeepRec: An Open-source Toolkit for Deep Learning based Recommendation cs.IR · 2019 · author #3
  88. STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting cs.LG · 2019 · author #2
  89. Multi-agent Attentional Activity Recognition cs.HC · 2019 · author #2
  90. A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers cs.HC · 2019 · author #2
  91. Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph cs.LG · 2019 · author #5
  92. Adversarial Variational Embedding for Robust Semi-supervised Learning cs.LG · 2019 · author #2
  93. Quaternion Knowledge Graph Embeddings cs.LG · 2019 · author #3
  94. Automatic Device Classification from Network Traffic Streams of Internet of Things cs.NI · 2018 · author #2
  95. Internet of Things Search Engine: Concepts, Classification, and Open Issues cs.IR · 2018 · author #4
  96. Distributionally Robust Semi-Supervised Learning for People-Centric Sensing cs.HC · 2018 · author #2
  97. Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network cs.IR · 2018 · author #2
  98. Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding cs.HC · 2018 · author #2
  99. Learning to Recommend with Multiple Cascading Behaviors cs.IR · 2018 · author #8
  100. Next Item Recommendation with Self-Attention cs.IR · 2018 · author #3
  101. Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships cs.IR · 2018 · author #2
  102. A Survey on Expert Recommendation in Community Question Answering cs.SI · 2018 · author #3
  103. GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest cs.LG · 2018 · author #2
  104. Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling cs.HC · 2018 · author #2
  105. Opinion Fraud Detection via Neural Autoencoder Decision Forest cs.CL · 2018 · author #2
  106. NeuRec: On Nonlinear Transformation for Personalized Ranking cs.IR · 2018 · author #2
  107. Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity cs.HC · 2018 · author #2
  108. Multi-modality Sensor Data Classification with Selective Attention cs.CV · 2018 · author #2
  109. Metric Factorization: Recommendation beyond Matrix Factorization cs.IR · 2018 · author #2
  110. Adversarially Regularized Graph Autoencoder for Graph Embedding cs.LG · 2018 · author #5
  111. Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks cs.HC · 2018 · author #2
  112. Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition cs.HC · 2017 · author #2
  113. MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network cs.HC · 2017 · author #2
  114. Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis cs.HC · 2017 · author #2
  115. Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals cs.HC · 2017 · author #2
  116. Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface cs.HC · 2017 · author #2
  117. Deep Learning based Recommender System: A Survey and New Perspectives cs.IR · 2017 · author #2
  118. Hybrid Collaborative Recommendation via Semi-AutoEncoder cs.IR · 2017 · author #2
  119. DeepKey: An EEG and Gait Based Dual-Authentication System cs.LG · 2017 · author #2
  120. AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders cs.IR · 2017 · author #2
  121. Dynamic Intention-Aware Recommendation System cs.IR · 2017 · author #2
  122. Intent Recognition in Smart Living Through Deep Recurrent Neural Networks cs.CY · 2017 · author #2
  123. Searching for the Internet of Things on the Web: Where It Is and What It Looks Like cs.IR · 2016 · author #6
  124. Uncovering Locally Discriminative Structure for Feature Analysis cs.LG · 2016 · author #6
  125. Unveiling Contextual Similarity of Things via Mining Human-Thing Interactions in the Internet of Things cs.CY · 2015 · author #1
  126. Up in the Air: When Homes Meet the Web of Things cs.CY · 2015 · author #1
  127. Unsupervised Feature Analysis with Class Margin Optimization cs.LG · 2015 · author #4

Mentions

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