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Fangcheng Fu

15 papers · 2020–2026 · 9 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (36) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Grand Slam 🀝 Dynamic Duo (12) ❓ The Questioner πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze ⚑ Prolific Year Β· Productive 🌈 Renaissance Researcher (6) πŸ—ƒοΈ Keyword Collector (81)

Venues

IJCAI (3) NeurIPS (3) AAAI (2) ICML (2) ACL (1) EMNLP (1) ICCV (1) ICLR (1) OSDI (1)

Top co-authors

Bin CUI (12) Xupeng Miao (7) Jiawei Jiang (5) Shenhan Zhu (3) Wentao Zhang (3) Xiaonan Nie (3) Xiao Yan (2) Haoyang Li (2) YOUHE JIANG (2) Qinbo Zhang (2)

Research topics

Machine Learning (14) Application Areas (12) Deep Learning (7) Artificial Intelligence (6) Optimization & Theory Β· Machine Learning (6) Core AI (4) Learning Types Β· Deep Learning (4) Optimization & Theory Β· Deep Learning (4) Learning Paradigms (3) Learning Types Β· Machine Learning (3) Models (3) Computer Vision (2) Mathematics & Optimization (2) Natural Language Processing (2) Architectures (2)

Keywords

vertical federated learning (3) distributed training (3) large language model (2) locality sensitive hashing (2) mixture of expert (2) model parallelism (2) knowledge distillation (2) sequence labeling (1) multi-task learning (1) neural network compression (1) named entity recognition (1) distributed learning (1) privacy preservation (1) image editing (1) data augmentation (1) neural network optimization (1) contrastive learning (1) deep learning (1) efficient inference (1) video generation (1)

Papers

Hetu v2: A General and Scalable Deep Learning System with Hierarchical and Heterogeneous Single Program Multiple Data Annotations OSDI 2026 Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs ICML 2025 Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning ACL 2025 HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning AAAI 2025 Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations EMNLP 2025 Model Rake: A Defense Against Stealing Attacks in Split Learning IJCAI 2025 NetMoE: Accelerating MoE Training through Dynamic Sample Placement ICLR 2025 Training-free and Adaptive Sparse Attention for Efficient Long Video Generation ICCV 2025 Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference AAAI 2024 Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters NeurIPS 2024 LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing NeurIPS 2024 X-former Elucidator: Reviving Efficient Attention for Long Context Language Modeling IJCAI 2024 OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning IJCAI 2023 VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? NeurIPS 2022 Don’t Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript ICML 2020