Skip to content
conftrace_

Qinghao Hu

18 papers · 2016–2026 · 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

Jump to papers ↓
+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (25) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (10) 🀝 Dynamic Duo (11) 🧬 Topic Evolution 🧭 Keyword Pioneer πŸ—ƒοΈ Keyword Collector (59) πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (5)

Venues

CVPR (4) ECCV (4) ICLR (2) OSDI (2) WACV (2) AAAI (1) EMNLP (1) IJCAI (1) NSDI (1)

Top co-authors

Jian Cheng (11) Peisong Wang (7) Gang Li (3) Yifan Zhang (3) Zitao Mo (2) Qiaoling Chen (2) Shang Yang (2) Zhangming Li (2) peng sun (2) Tianwei Zhang (2)

Research topics

Machine Learning (12) Application Areas (10) Artificial Intelligence (8) Core AI Β· Artificial Intelligence (8) Deep Learning (6) Optimization & Theory Β· Machine Learning (5) Architectures (3) Optimization & Theory Β· Deep Learning (3) Techniques (3) Computer Vision (2) Core AI Β· Computer Vision (2) Computer Science (1) Natural Language Processing (1) Robotics (1) Analysis (1)

Keywords

model compression (5) large language model (4) model quantization (3) attention mechanism (3) vision transformer (3) efficient inference (2) image classification (2) resource utilization (2) efficient computing (2) weight quantization (2) neural network optimization (1) video understanding (1) model pretraining (1) feature learning (1) memory efficiency (1) distributed learning (1) convolutional neural network (1) hyperparameter tuning (1) self-supervised learning (1) fault tolerance (1)

Papers

A Universal Self-Attention Enhancement for Bridging Low-bit Quantization and Vision Transformers WACV 2026 ForeAct: Steering Your VLA with Efficient Visual Foresight Planning CVPR 2026 MemeBQ:Memory Efficient Binary Quantization of LLMs AAAI 2026 OpenTela: Unifying Decentralized Computing Resources for Heterogeneous LLM Serving (Operational Systems) OSDI 2026 LongVILA: Scaling Long-Context Visual Language Models for Long Videos ICLR 2025 LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning EMNLP 2025 Characterization of Large Language Model Development in the Datacenter NSDI 2024 $\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks ICLR 2023 Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets WACV 2023 Hydro: Surrogate-Based Hyperparameter Tuning Service in Datacenters OSDI 2023 MixFormer: Mixing Features Across Windows and Dimensions CVPR 2022 PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators ECCV 2022 ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices ECCV 2020 Soft Threshold Ternary Networks IJCAI 2020 Semi-Supervised Generative Adversarial Hashing for Image Retrieval ECCV 2018 Training Binary Weight Networks via Semi-Binary Decomposition ECCV 2018 Two-Step Quantization for Low-Bit Neural Networks CVPR 2018 Quantized Convolutional Neural Networks for Mobile Devices CVPR 2016