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Jinyang Guo

31 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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+7 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Silver 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (53)
πŸ”¬ Deep Specialist (16) πŸ† Grand Slam 🀝 Dynamic Duo (20) πŸ—ƒοΈ Keyword Collector (132) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze

Venues

CVPR (10) AAAI (8) ACL (3) ICML (3) NeurIPS (3) ECCV (1) EMNLP (1) ICCV (1) ICLR (1)

Top co-authors

Xianglong Liu (20) Ruihao Gong (10) Yifu Ding (9) Haotong Qin (7) Jiaheng Liu (5) Yuqing Ma (5) Zining Wang (5) Jiakai Wang (5) Wanli Ouyang (4) Jianyu Wu (3)

Research topics

Machine Learning (26) Application Areas (21) Deep Learning (20) Artificial Intelligence (17) Core AI (16) Computer Vision (12) Optimization & Theory Β· Deep Learning (10) Optimization & Theory Β· Machine Learning (9) Models (8) Learning Types Β· Deep Learning (6) Analysis (5) Architectures (5) Techniques (4) Generation (3) Learning Types Β· Machine Learning (3)

Keywords

model compression (16) knowledge distillation (7) large language model (6) post-training quantization (6) efficient computing (4) model quantization (4) image generation (3) vision-language model (3) neural network optimization (3) diffusion model (3) edge computing (2) benchmark evaluation (2) neural network quantization (2) convolutional neural network (2) channel pruning (2) image classification (2) representation learning (2) object detection (2) domain adaptation (2) multimodal learning (2)

Papers

AGENTSAFE: Benchmarking the Safety of Embodied Agents on Hazardous Instructions CVPR 2026 CMedBench: A Comprehensive Benchmark for Efficient Medical Large Language Models AAAI 2026 First-Order Error Matters: Accurate Compensation for Quantized Large Language Models AAAI 2026 LLMC+: Benchmarking Vision-Language Model Compression with a plug-and-play Toolkit AAAI 2026 MoDES: Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert Skipping CVPR 2026 APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers CVPR 2025 AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints AAAI 2025 BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models ICLR 2025 CMT: A Cascade MAR with Topology Predictor for Multimodal Conditional CAD Generation ICCV 2025 DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models ICML 2025 Dynamic Parallel Tree Search for Efficient LLM Reasoning ACL 2025 HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration ICML 2025 Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector Approach AAAI 2025 TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models AAAI 2025 BiDM: Pushing the Limit of Quantization for Diffusion Models NeurIPS 2024 Compressing Large Language Models by Joint Sparsification and Quantization ICML 2024 DB-LLM: Accurate Dual-Binarization for Efficient LLMs ACL 2024 DDK: Distilling Domain Knowledge for Efficient Large Language Models NeurIPS 2024 Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes AAAI 2024 LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment NeurIPS 2024 LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling CVPR 2024 PTQ4SAM: Post-Training Quantization for Segment Anything CVPR 2024 Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector CVPR 2024 Adaptive Contrastive Knowledge Distillation for BERT Compression ACL 2023 Annealing-Based Label-Transfer Learning for Open World Object Detection CVPR 2023 Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling EMNLP 2023 Coarse-To-Fine Deep Video Coding With Hyperprior-Guided Mode Prediction CVPR 2022 CoupleFace: Relation Matters for Face Recognition Distillation ECCV 2022 Unsupervised Learning of Accurate Siamese Tracking CVPR 2022 Channel Pruning Guided by Classification Loss and Feature Importance AAAI 2020 Multi-Dimensional Pruning: A Unified Framework for Model Compression CVPR 2020