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Yifei Zhang

81 papers · 2018–2026 · 15 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 15 separate collaboration groups - the largest holds only 40% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Yifei Zhang?

8 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Irwin King, Hao Zhu, Zixing Song 19 papers · 2019–2026 · AAAI, CVPR, NeurIPS Hide ▲
ConSurv: Multimodal Continual Learning for Survival Analysis AAAI 2026 Hierarchically Robust Zero-shot Vision-language Models CVPR 2026 BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning CVPR 2025 Can Watermarked LLMs be Identified by Users via Crafted Prompts? ICLR 2025 From General Reward to Targeted Reward: Improving Open-ended Long-context Generation Models EMNLP 2025 Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices ICML 2025 NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction ICML 2025 Robustifying Zero-Shot Vision Language Models by Subspaces Alignment ICCV 2025 Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning ICCV 2025 pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation CVPR 2025 A Systematic Survey on Federated Semi-supervised Learning IJCAI 2024 FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering NAACL 2024 Graph Component Contrastive Learning for Concept Relatedness Estimation AAAI 2023 Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective NeurIPS 2023 No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning NeurIPS 2023 Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning NeurIPS 2023 Spectral Feature Augmentation for Graph Contrastive Learning and Beyond AAAI 2023 An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching AACL 2022 Doc2hash: Learning Discrete Latent variables for Documents Retrieval NAACL 2019
7 papers whose co-authors appear nowhere else under this name
From Measurement to Mitigation: Quantifying and Reducing Identity Leakage in Image Representation Encoders with Linear Subspace Removal CVPR 2026 Can MLLMs Understand the Deep Implication Behind Chinese Images? ACL 2025 Continuous 3D Perception Model with Persistent State CVPR 2025 LEGO-Maker: A Semantic-Driven Algorithm for Text-to-3D Generation ICCV 2025 Linguistics-aware Masked Image Modeling for Self-supervised Scene Text Recognition CVPR 2025 UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models NAACL 2025 Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning CoRL 2024

Venues · all papers under this name

ACL (17) EMNLP (11) CVPR (10) COLING (9) NeurIPS (6) AAAI (5) ICCV (4) ICML (4) NAACL (4) IJCAI (3) ECCV (2) ICLR (2) L4DC (2) AACL (1) CoRL (1)