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Lina Yao

University of New South Wales, School of Computer Science and Engineering, Kensington, NSW, Australia

63 papers at tracked venues · 40 at CORE A* · active 2024–2026

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Venues

CIKM ×12SIGIR ×8WWW ×7ICLR ×5CVPR ×4AAAI ×3ACL ×3ACM MM ×3EMNLP ×3IROS ×3NeurIPS ×3ICDM ×2ICML ×2SIGKDD ×2NAACL ×1RecSys ×1WSDM ×1

Frequent coauthors

Xiaocong Chen
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Hongtao Huang
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Haowei Lou
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Chao Wang
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Xinshu Li
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Rui Wang
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Shiyi Yang
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Xihang Wang
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Behnaz Soltani
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Yun Li
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Saurav Jha
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Junda Wu
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Papers

  1. Advantage-Conditioned Flow Policy for Offline Reinforcement Learning in Recommendation
    SIGIR 2026 ·
    Xiaocong Chen
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  2. CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing
    ACL 2026 ·
    Rui Wang
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  3. DrunkAgent: Stealthy Memory Corruption in LLM-Powered Recommender Agents
    WWW 2026 ·
    Shiyi Yang
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  4. Dual Conditional Diffusion for Sequential Recommendation
    WSDM 2026 ·
    Hongtao Huang
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  5. Factorized Latent Reasoning for LLM-based Recommendation
    SIGIR 2026 ·
    Tianqi Gao
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  6. Gaussian Mixture Flow Matching with Domain Alignment for Multi-Domain Sequential Recommendation
    WWW 2026 ·
    Xiaoxin Ye
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  7. LLM-UP: SIGIR 2026 Workshop on LLM-powered User Profiling for Search and Recommendation
    SIGIR 2026 ·
    Hongzhi Yin
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  8. MEG-RAG: Quantifying Multi-modal Evidence Grounding for Evidence Selection in RAG
    SIGIR 2026 ·
    Xihang Wang
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  9. ParaMETA: Towards Learning Disentangled Paralinguistic Speaking Styles Representations from Speech
    AAAI 2026 ·
    Haowei Lou
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  10. PruneRAG: Confidence-Guided Query Decomposition Trees for Efficient Retrieval-Augmented Generation
    WWW 2026 ·
    Shuguang Jiao
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  11. Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG
    SIGIR 2026 ·
    Xihang Wang
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  12. RegionSLM: Region-aware Question Answering on Document Screenshots
    SIGIR 2026 ·
    Chao Wang
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  13. SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes
    ACL 2026 ·
    Chuhan Wang
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  14. The 2nd Workshop on Human-Centered Recommender Systems
    WWW 2026 ·
    Kaike Zhang
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  15. A Tutorial on Agentic LLM for Recommender Systems
    RecSys 2025 ·
    Chengkai Huang
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  16. Achoio: A Skill-Aware Evaluation Management System for Text-To-Speech Research
    CIKM 2025 ·
    Haowei Lou
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  17. Adapting Text-to-Image Generation with Feature Difference Instruction for Generic Image Restoration
    CVPR 2025 ·
    Chao Wang
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  18. Addressing the Distortion of Community Representations in Anomaly Detection on Attributed Networks
    CIKM 2025 ·
    Enbo He
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  19. Beyond Parameters: Locally-Guided Knowledge Distillation for Decentralized Federated Learning
    ICDM 2025 ·
    Behnaz Soltani
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  20. Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation
    ACM MM 2025 ·
    Xinshu Li
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  21. CoMMIT: Coordinated Multimodal Instruction Tuning
    EMNLP 2025 ·
    Xintong Li
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  22. CollageNoter: Real-Time and Adaptive Collage Layout Design for Screenshot-Based E-Note-Taking
    AAAI 2025 ·
    Qiuyun Zhang
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  23. Compositional Zero-Shot Learning with Contextualized Cues and Adaptive Contrastive Training
    ACM MM 2025 ·
    Yun Li
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  24. Counterfactual Implicit Feedback Modeling
    NeurIPS 2025 ·
    Chuan Zhou
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  25. Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning
    IROS 2025 ·
    Xiaocong Chen
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  26. Eliminating Sentiment Bias in Recommender Systems by Counterfactual Inference
    CIKM 2025 ·
    Le Pan
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  27. Energy-Guided Diffusion Sampling for Long-Term User Behavior Prediction in Reinforcement Learning-based Recommendation
    CIKM 2025 ·
    Xiaocong Chen
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  28. Federated In-Context Learning: Iterative Refinement for Improved Answer Quality
    ICML 2025 ·
    Ruhan Wang
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  29. Flexiffusion: Training-Free Segment-Wise Neural Architecture Search for Efficient Diffusion Models
    CIKM 2025 ·
    Hongtao Huang
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  30. GUI Agents: A Survey
    ACL 2025 ·
    Dang Nguyen
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  31. Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising
    CVPR 2025 ·
    Yongli Xiang
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  32. Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction
    NeurIPS 2025 ·
    Hongtao Huang
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  33. MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning
    CIKM 2025 ·
    Lishan Yang
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  34. Maximum In-Support Return Modeling for Dynamic Recommendation with Language Model Prior
    CIKM 2025 ·
    Xiaocong Chen
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  35. Mining your own secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
    ICLR 2025 ·
    Saurav Jha
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  36. Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent
    EMNLP 2025 ·
    Junda Wu
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  37. OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models
    ICLR 2025 ·
    Junda Wu
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  38. PKGRec: Personal Knowledge Graph Construction and Mining for Federated Recommendation Enhancement
    CIKM 2025 ·
    Haochen Yuan
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  39. ParaStyleTTS: Toward Efficient and Robust Paralinguistic Style Control for Expressive Text-to-Speech Generation
    CIKM 2025 ·
    Haowei Lou
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  40. Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation
    WWW 2025 ·
    Siyu Wang
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  41. ProtChatGPT: Towards Understanding Proteins with Hybrid Representation and Large Language Models
    SIGIR 2025 ·
    Chao Wang
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  42. SAND: Boosting LLM Agents with Self-Taught Action Deliberation
    EMNLP 2025 ·
    Yu Xia
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  43. Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
    CVPR 2025 ·
    Huiyi Wang
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  44. Shot2Story: A New Benchmark for Comprehensive Understanding of Multi-shot Videos
    ICLR 2025 ·
    Mingfei Han
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  45. The 3rd Workshop on Personal Intelligence with Generative AI
    WWW 2025 ·
    Yang Zhang
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  46. Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation
    IROS 2025 ·
    Ruoyu Wang
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  47. Attacking Visually-aware Recommender Systems with Transferable and Imperceptible Adversarial Styles
    CIKM 2024 ·
    Shiyi Yang
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  48. CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models
    NeurIPS 2024 ·
    Saurav Jha
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  49. Context-Based and Diversity-Driven Specificity in Compositional Zero-Shot Learning
    CVPR 2024 ·
    Yun Li
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  50. DFLStar: A Decentralized Federated Learning Framework with Self-Knowledge Distillation and Participant Selection
    CIKM 2024 ·
    Behnaz Soltani
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  51. Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation
    AAAI 2024 ·
    Xinshu Li
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  52. Identifiability of Cross-Domain Recommendation via Causal Subspace Disentanglement
    SIGIR 2024 ·
    Jing Du
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  53. In-Context Learning for Zero-shot Medical Report Generation
    ACM MM 2024 ·
    Rui Liu
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  54. Learning with Mixture of Prototypes for Out-of-Distribution Detection
    ICLR 2024 ·
    Haodong Lu
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  55. Masked Distillation Advances Self-Supervised Transformer Architecture Search
    ICLR 2024 ·
    Caixia Yan
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  56. MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment
    WWW 2024 ·
    Hongtao Huang
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  57. Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation
    SIGKDD 2024 ·
    Xiaocong Chen
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  58. Multi-agent Traffic Prediction via Denoised Endpoint Distribution
    IROS 2024 ·
    Yao Liu
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  59. On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems
    CIKM 2024 ·
    Siyu Wang
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  60. Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning
    NAACL 2024 ·
    Rui Wang
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  61. Self-Distilled Disentangled Learning for Counterfactual Prediction
    SIGKDD 2024 ·
    Xinshu Li
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  62. TROPICAL: Transformer-Based Hypergraph Learning for Camouflaged Fraudster Detection
    ICDM 2024 ·
    Venus Haghighi
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  63. Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning
    ICML 2024 ·
    Yuhao Wu
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