Ruihao Gong
29 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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Topic Evolution
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Conferences
CVPR (7)
ICML (5)
AAAI (4)
ICCV (4)
ACL (3)
ICLR (3)
EMNLP (2)
NIPS (1)
Top co-authors
Keywords
model compression
(16)
post-training quantization
(5)
neural network optimization
(3)
efficient computing
(3)
model quantization
(2)
knowledge distillation
(2)
large language model
(2)
weight quantization
(2)
neural architecture search
(2)
low-bit quantization
(2)
neural network quantization
(2)
image classification
(1)
object detection
(1)
bert compression
(1)
image generation
(1)
representation learning
(1)
adversarial robustness
(1)
feature embedding
(1)
vision transformer
(1)
face recognition
(1)
Papers
Focus-dLLM: Accelerating Long-Context Diffusion LLM Inference via Confidence-Guided Context Focusing
ACL 2026
LLMC+: Benchmarking Vision-Language Model Compression with a plug-and-play Toolkit
AAAI 2026
DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models
ICML 2025
OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance
ICML 2025
Pre3: Enabling Deterministic Pushdown Automata for Faster Structured LLM Generation
ACL 2025
AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints
AAAI 2025
HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration
ICML 2025
LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit
EMNLP 2024
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection
AAAI 2024
Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes
AAAI 2024
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models
CVPR 2024
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
ICLR 2024
Compressing Large Language Models by Joint Sparsification and Quantization
ICML 2024
Adaptive Contrastive Knowledge Distillation for BERT Compression
ACL 2023
Lossy and Lossless (L2) Post-training Model Size Compression
ICCV 2023
Annealing-Based Label-Transfer Learning for Open World Object Detection
CVPR 2023
Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization
CVPR 2023
Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling
EMNLP 2023
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models
NIPS 2022
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization
ICLR 2022
Diversifying Sample Generation for Accurate Data-Free Quantization
CVPR 2021
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing
ICCV 2021
Once Quantization-Aware Training: High Performance Extremely Low-Bit Architecture Search
ICCV 2021
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction
ICLR 2021
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
ICML 2021
Towards Unified INT8 Training for Convolutional Neural Network
CVPR 2020
Forward and Backward Information Retention for Accurate Binary Neural Networks
CVPR 2020
Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition
CVPR 2020
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks
ICCV 2019