Yehui Tang

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