conftrace_
← Authors

Haozhao Wang

34 papers · 2021–2026 · 9 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+12 more ↓ 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (14) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (5)
πŸƒ Academic Marathon (5) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (41) 🧬 Topic Evolution 🀝 Dynamic Duo (16) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ’Ž Century Club (28) ⚑ Prolific Year (9) πŸ”₯ Unstoppable (5) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (99)

Conferences

AAAI (9) ICML (6) NIPS (5) CVPR (4) ICLR (3) ACL (2) ECCV (2) IJCAI (2) ICCV (1)

Top co-authors

Ruixuan Li (19) Wenchao Xu (13) Yichen Li (9) Wei Liu (7) Jun Wang (7) Song Guo (5) Fushuo Huo (5) Jingcai Guo (5) Zhiying Deng (4) YuanKai Zhang (4)

Research topics

Privacy (1)

Keywords

federated learning (8) causal inference (3) knowledge distillation (3) natural language processing (2) text classification (2) catastrophic forgetting (2) prototype learning (2) representation learning (2) contrastive learning (2) personalized model (2) knowledge transfer (2) domain adaptation (2) bayesian inference (1) zero-shot learning (1) transfer learning (1) bayesian learning (1) attention mechanism (1) feature selection (1) few-shot learning (1) adversarial learning (1)

Papers

FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning AAAI 2026 Unbiased Rectification for Sequential Recommender Systems Under Fake Orders AAAI 2026 Data-Centric Sequential Recommendation with Relation-Augmented Generation AAAI 2026 Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs AAAI 2026 UMPIRE: Unveiling LLM-generated Posts via Redundant Expressions ACL 2026 Ripple Shapley: Data Influence Attribution in One Federated Training Run AAAI 2026 Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics ICML 2025 The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning ICML 2025 FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence ICML 2025 Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets ICML 2025 Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack ICCV 2025 DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information IJCAI 2025 Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization ICLR 2025 Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models ICLR 2025 BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach ICML 2025 FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation ICLR 2024 Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization NIPS 2024 ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning AAAI 2024 Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement AAAI 2024 Knowledge-Aware Parameter Coaching for Personalized Federated Learning AAAI 2024 Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling AAAI 2024 C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation CVPR 2024 Towards Efficient Replay in Federated Incremental Learning CVPR 2024 Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching ECCV 2024 Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection ECCV 2024 FedBAT: Communication-Efficient Federated Learning via Learnable Binarization ICML 2024 Dual Expert Distillation Network for Generalized Zero-Shot Learning IJCAI 2024 MGR: Multi-generator Based Rationalization ACL 2023 PMR: Prototypical Modal Rebalance for Multimodal Learning CVPR 2023 DaFKD: Domain-Aware Federated Knowledge Distillation CVPR 2023 Aligning Language Models with Human Preferences via a Bayesian Approach NIPS 2023 D-Separation for Causal Self-Explanation NIPS 2023 FR: Folded Rationalization with a Unified Encoder NIPS 2022 Parameterized Knowledge Transfer for Personalized Federated Learning NIPS 2021