Ruihao Gong

Focus-dLLM: Accelerating Long-Context Diffusion LLM Inference via Confidence-Guided Context Focusing ACL 2026 LinVideo: A Post-Training Framework towards O(n) Attention in Efficient Video Generation CVPR 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 Phased DMD: Few-step Distribution Matching Distillation via Score Matching within Subintervals CVPR 2026 AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints AAAI 2025 DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models ICML 2025 HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration 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 Compressing Large Language Models by Joint Sparsification and Quantization ICML 2024 Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes AAAI 2024 LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit EMNLP 2024 QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models ICLR 2024 Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection AAAI 2024 TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models CVPR 2024 Adaptive Contrastive Knowledge Distillation for BERT Compression ACL 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 Lossy and Lossless (L2) Post-training Model Size Compression ICCV 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 NeurIPS 2022 QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization ICLR 2022 A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration ICML 2021 BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction ICLR 2021 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 Forward and Backward Information Retention for Accurate Binary Neural Networks CVPR 2020 Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition CVPR 2020 Towards Unified INT8 Training for Convolutional Neural Network CVPR 2020 Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks ICCV 2019