Yehui Tang

PocketLLM: Ultimate Compression of Large Language Models via Meta Networks AAAI 2026 GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection AAAI 2026 Multi-Granularity Semantic Revision for Large Language Model Distillation ACL 2026 CBQ: Cross-Block Quantization for Large Language Models ICLR 2025 EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models NAACL 2025 DenseSSM: State Space Models with Dense Hidden Connection for Efficient Large Language Models NAACL 2025 Tensor Network: from the Perspective of AI4Science and Science4AI IJCAI 2025 LLM Data Selection and Utilization via Dynamic Bi-level Optimization ICML 2025 Mixture of Lookup Experts ICML 2025 SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs ICML 2025 SlimLLM: Accurate Structured Pruning for Large Language Models ICML 2025 Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts AAAI 2025 Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning ICML 2025 TinySAM: Pushing the Envelope for Efficient Segment Anything Model AAAI 2025 QEM-Bench: Benchmarking Learning-based Quantum Error Mitigation and QEMFormer as a Multi-ranged Context Learning Baseline ICML 2025 QuaDiM: A Conditional Diffusion Model For Quantum State Property Estimation ICLR 2025 Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark ICLR 2024 Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning NIPS 2024 Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting NIPS 2024 MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers NIPS 2024 Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning CVPR 2024 Token Compensator: Altering Inference Cost of Vision Transformer without Re-Tuning ECCV 2024 Visual Prompting via Partial Optimal Transport ECCV 2024 Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation ECCV 2024 Adapt without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models ECCV 2024 Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space ICLR 2024 SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization ICML 2024 Data-efficient Large Vision Models through Sequential Autoregression ICML 2024 Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning ICML 2024 ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking ICML 2024 Rethinking Optimization and Architecture for Tiny Language Models ICML 2024 SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification ICML 2024 Masked Image Modeling With Local Multi-Scale Reconstruction CVPR 2023 One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation NIPS 2023 Network Expansion for Practical Training Acceleration CVPR 2023 Patch Slimming for Efficient Vision Transformers CVPR 2022 CMT: Convolutional Neural Networks Meet Vision Transformers CVPR 2022 Spatial-Channel Token Distillation for Vision MLPs ICML 2022 GhostNetV2: Enhance Cheap Operation with Long-Range Attention NIPS 2022 Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation NIPS 2022 Vision GNN: An Image is Worth Graph of Nodes NIPS 2022 GraphQNTK: Quantum Neural Tangent Kernel for Graph Data NIPS 2022 Hire-MLP: Vision MLP via Hierarchical Rearrangement CVPR 2022 Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor NIPS 2022 Source-Free Domain Adaptation via Distribution Estimation CVPR 2022 An Image Patch Is a Wave: Phase-Aware Vision MLP CVPR 2022 Augmented Shortcuts for Vision Transformers NIPS 2021 Homogeneous Architecture Augmentation for Neural Predictor ICCV 2021 ReNAS: Relativistic Evaluation of Neural Architecture Search CVPR 2021 Learning Frequency Domain Approximation for Binary Neural Networks NIPS 2021 Manifold Regularized Dynamic Network Pruning CVPR 2021 A Semi-Supervised Assessor of Neural Architectures CVPR 2020 SCOP: Scientific Control for Reliable Neural Network Pruning NIPS 2020 Neuromorphic Camera Guided High Dynamic Range Imaging CVPR 2020 Frequency Domain Compact 3D Convolutional Neural Networks CVPR 2020 Reborn Filters: Pruning Convolutional Neural Networks with Limited Data AAAI 2020 Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks AAAI 2020