PPaperPicks

Haozhao Wang

48 papers at tracked venues · 42 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-7591-5315 ↗Homepage ↗

Venues

AAAI ×9NeurIPS ×9ICML ×6WWW ×6ICLR ×3ACM MM ×2CVPR ×2ECCV ×2ICDE ×2IJCAI ×2ACL ×1ECAI ×1ECML-PKDD ×1ICCV ×1SIGKDD ×1

Frequent coauthors

Yichen Li
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Shiwei Li
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Wei Liu
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Fushuo Huo
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Yunfeng Fan
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Xiaoquan Yi
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Yuxuan Liu
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Jiayu Bao
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Dewen Zeng
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Peirong Zheng
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Qiyu Qin
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Yun Xin
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Papers

  1. Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs
    AAAI 2026 ·
    Yuxuan Liu
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  2. Data-Centric Sequential Recommendation with Relation-Augmented Generation
    AAAI 2026 ·
    Yichen Li
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  3. FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning
    AAAI 2026 ·
    Yichen Li
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  4. KE-FedRS: Tackling Data Sparsity in Federated Recommendation via Knowledge Enhancement
    WWW 2026 ·
    Jiayu Bao
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  5. Ripple Shapley: Data Influence Attribution in One Federated Training Run
    AAAI 2026 ·
    Dewen Zeng
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  6. Self-Speculative Decoding for On-device MoE Acceleration
    WWW 2026 ·
    Peirong Zheng
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  7. UMPIRE: Unveiling LLM-generated Posts via Redundant Expressions
    ACL 2026 ·
    Xiaoquan Yi
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  8. Unbiased Rectification for Sequential Recommender Systems Under Fake Orders
    AAAI 2026 ·
    Qiyu Qin
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  9. pFedDKS: Detached Knowledge Sharing for Personalized Federated Learning
    WWW 2026 · Haozhao Wang
  10. Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets
    ICML 2025 ·
    Wei Liu
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  11. BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach
    ICML 2025 · Haozhao Wang
  12. Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation
    NeurIPS 2025 ·
    Shiwei Li
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  13. Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics
    ICML 2025 ·
    Shiwei Li
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  14. Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization
    ICLR 2025 ·
    Wei Liu
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  15. ChatbotID: Identifying Chatbots with Granger Causality Test
    NeurIPS 2025 ·
    Xiaoquan Yi
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  16. DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information
    IJCAI 2025 ·
    Yun Xin
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  17. Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem
    NeurIPS 2025 ·
    Yichen Li
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  18. Enhancing Privacy in Multimodal Federated Learning with Information Theory
    NeurIPS 2025 ·
    Tianzhe Xiao
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  19. Feature Distillation is the Better Choice for Model-Heterogeneous Federated Learning
    NeurIPS 2025 ·
    Yichen Li
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  20. FedRNL: Federated Rationalization with Soft Parameter Sharing
    ECML-PKDD 2025 ·
    Lingxiao Kong
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  21. FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
    ICML 2025 ·
    Yichen Li
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  22. LLM at Network Edge: A Layer-wise Efficient Federated Fine-tuning Approach
    NeurIPS 2025 ·
    Jinglong Shen
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  23. Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack
    ICCV 2025 ·
    Xingshuo Han
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  24. Personalized Federated Recommendation for Cold-Start Users via Adaptive Knowledge Fusion
    WWW 2025 ·
    Yichen Li
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  25. Privacy-Friendly Cross-Domain Recommendation via Distilling User-irrelevant Information
    WWW 2025 ·
    Cheng Wang
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  26. Resource-Constrained Federated Continual Learning: What Does Matter?
    NeurIPS 2025 ·
    Yichen Li
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  27. Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models
    ICLR 2025 ·
    Fushuo Huo
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  28. The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning
    ICML 2025 ·
    Shiwei Li
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  29. Adversarial Attack for Explanation Robustness of Rationalization Models
    ECAI 2024 ·
    Yuankai Zhang
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  30. C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation
    CVPR 2024 ·
    Fushuo Huo
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  31. Cross-modal Representation Flattening for Multi-modal Domain Generalization
    NeurIPS 2024 ·
    Yunfeng Fan
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  32. Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling
    AAAI 2024 ·
    Jie Han
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  33. Detached and Interactive Multimodal Learning
    ACM MM 2024 ·
    Yunfeng Fan
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  34. Dual Expert Distillation Network for Generalized Zero-Shot Learning
    IJCAI 2024 ·
    Zhijie Rao
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  35. Enhancing the Rationale-Input Alignment for Self-explaining Rationalization
    ICDE 2024 ·
    Wei Liu
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  36. FedBAT: Communication-Efficient Federated Learning via Learnable Binarization
    ICML 2024 ·
    Shiwei Li
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  37. FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation
    ICLR 2024 · Haozhao Wang
  38. FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices
    WWW 2024 · Haozhao Wang
  39. FedNLR: Federated Learning with Neuron-wise Learning Rates
    SIGKDD 2024 · Haozhao Wang
  40. Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization
    NeurIPS 2024 ·
    Wei Liu
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  41. Knowledge-Aware Parameter Coaching for Personalized Federated Learning
    AAAI 2024 ·
    Mingjian Zhi
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  42. Masked Random Noise for Communication-Efficient Federated Learning
    ACM MM 2024 ·
    Shiwei Li
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  43. Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement
    AAAI 2024 ·
    Fushuo Huo
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  44. Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection
    ECCV 2024 ·
    Yunfeng Fan
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  45. Personalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching
    ECCV 2024 ·
    Yichen Li
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  46. ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning
    AAAI 2024 ·
    Fushuo Huo
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  47. Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training
    ICDE 2024 ·
    Meng Zhang
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  48. Towards Efficient Replay in Federated Incremental Learning
    CVPR 2024 ·
    Yichen Li
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