Jinyang Guo
29 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
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Conferences
AAAI (8)
CVPR (8)
ACL (3)
ICML (3)
NIPS (3)
ECCV (1)
EMNLP (1)
ICCV (1)
ICLR (1)
Top co-authors
Research topics
Keywords
model compression
(16)
knowledge distillation
(6)
post-training quantization
(6)
large language model
(5)
efficient computing
(3)
neural network optimization
(3)
model quantization
(3)
image generation
(2)
channel pruning
(2)
activation quantization
(2)
benchmark evaluation
(2)
neural network quantization
(2)
diffusion model
(2)
domain adaptation
(2)
image classification
(2)
convolutional neural network
(2)
multimodal learning
(2)
object detection
(2)
representation learning
(2)
edge computing
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Papers
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
CMedBench: A Comprehensive Benchmark for Efficient Medical Large Language Models
AAAI 2026
Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector Approach
AAAI 2025
AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints
AAAI 2025
TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models
AAAI 2025
HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration
ICML 2025
CMT: A Cascade MAR with Topology Predictor for Multimodal Conditional CAD Generation
ICCV 2025
Dynamic Parallel Tree Search for Efficient LLM Reasoning
ACL 2025
APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers
CVPR 2025
DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models
ICML 2025
BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models
ICLR 2025
BiDM: Pushing the Limit of Quantization for Diffusion Models
NIPS 2024
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
NIPS 2024
DDK: Distilling Domain Knowledge for Efficient Large Language Models
NIPS 2024
Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes
AAAI 2024
DB-LLM: Accurate Dual-Binarization for Efficient LLMs
ACL 2024
Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector
CVPR 2024
LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling
CVPR 2024
PTQ4SAM: Post-Training Quantization for Segment Anything
CVPR 2024
Compressing Large Language Models by Joint Sparsification and Quantization
ICML 2024
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
Adaptive Contrastive Knowledge Distillation for BERT Compression
ACL 2023
Unsupervised Learning of Accurate Siamese Tracking
CVPR 2022
Coarse-To-Fine Deep Video Coding With Hyperprior-Guided Mode Prediction
CVPR 2022
CoupleFace: Relation Matters for Face Recognition Distillation
ECCV 2022
Multi-Dimensional Pruning: A Unified Framework for Model Compression
CVPR 2020
Channel Pruning Guided by Classification Loss and Feature Importance
AAAI 2020