Tang, Yehui

49 publications

ICLR 2025 CBQ: Cross-Block Quantization for Large Language Models Xin Ding, Xiaoyu Liu, Zhijun Tu, Yun Zhang, Wei Li, Jie Hu, Hanting Chen, Yehui Tang, Zhiwei Xiong, Baoqun Yin, Yunhe Wang

AAAI 2025 Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts Miao Rang, Zhenni Bi, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang

ICML 2025 Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning Zhenni Bi, Kai Han, Chuanjian Liu, Yehui Tang, Yunhe Wang

ICML 2025 LLM Data Selection and Utilization via Dynamic Bi-Level Optimization Yang Yu, Kai Han, Hang Zhou, Yehui Tang, Kaiqi Huang, Yunhe Wang, Dacheng Tao

ICML 2025 Mixture of Lookup Experts Shibo Jie, Yehui Tang, Kai Han, Yitong Li, Duyu Tang, Zhi-Hong Deng, Yunhe Wang

ICML 2025 QEM-Bench: Benchmarking Learning-Based Quantum Error Mitigation and QEMFormer as a Multi-Ranged Context Learning Baseline Tianyi Bao, Ruizhe Zhong, Xinyu Ye, Yehui Tang, Junchi Yan

ICLR 2025 QuaDiM: A Conditional Diffusion Model for Quantum State Property Estimation Yehui Tang, Mabiao Long, Junchi Yan

ICML 2025 SlimLLM: Accurate Structured Pruning for Large Language Models Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang

ICML 2025 SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs Shibo Jie, Yehui Tang, Kai Han, Zhi-Hong Deng, Jing Han

IJCAI 2025 Tensor Network: From the Perspective of AI4Science and Science4AI Junchi Yan, Yehui Tang, Xinyu Ye, Hao Xiong, Xiaoqiu Zhong, Yuhan Wang, Yuan Qi

AAAI 2025 TinySAM: Pushing the Envelope for Efficient Segment Anything Model Han Shu, Wenshuo Li, Yehui Tang, Yiman Zhang, Yihao Chen, Houqiang Li, Yunhe Wang, Xinghao Chen

ECCV 2024 Adapt Without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models Mengyu Zheng, Yehui Tang, Zhiwei Hao, Kai Han, Yunhe Wang, Chang Xu

CVPR 2024 Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning Hao Xiong, Yehui Tang, Xinyu Ye, Junchi Yan

ECCV 2024 Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation Zhenliang Ni, Xinghao Chen, Yingjie Zhai, Yehui Tang, Yunhe Wang

ICML 2024 Data-Efficient Large Vision Models Through Sequential Autoregression Zhiwei Hao, Jianyuan Guo, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu

ICML 2024 ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking Wenshuo Li, Xinghao Chen, Han Shu, Yehui Tang, Yunhe Wang

NeurIPS 2024 Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting Fangcheng Liu, Yehui Tang, Zhenhua Liu, Yunsheng Ni, Duyu Tang, Kai Han, Yunhe Wang

ICML 2024 Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, Yunhe Wang

NeurIPS 2024 MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers Ning Ding, Yehui Tang, Haochen Qin, Zhenli Zhou, Chao Xu, Lin Li, Kai Han, Heng Liao, Yunhe Wang

ICLR 2024 Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space Hao Xiong, Yehui Tang, Yunlin He, Wei Tan, Junchi Yan

ICML 2024 Rethinking Optimization and Architecture for Tiny Language Models Yehui Tang, Kai Han, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Yunhe Wang

ICML 2024 SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-Parameterized Batch Normalization Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang

ICML 2024 SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification Yehui Tang, Nianzu Yang, Mabiao Long, Junchi Yan

NeurIPS 2024 Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning Hang Zhou, Yehui Tang, Haochen Qin, Yujie Yang, Renren Jin, Deyi Xiong, Kai Han, Yunhe Wang

ECCV 2024 Token Compensator: Altering Inference Cost of Vision Transformer Without Re-Tuning Shibo Jie, Yehui Tang, Jianyuan Guo, Zhi-Hong Deng, Kai Han, Yunhe Wang

ICLR 2024 Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and a Benchmark Yehui Tang, Hao Xiong, Nianzu Yang, Tailong Xiao, Junchi Yan

ECCV 2024 Visual Prompting via Partial Optimal Transport Mengyu Zheng, Zhiwei Hao, Yehui Tang, Chang Xu

CVPR 2023 Masked Image Modeling with Local Multi-Scale Reconstruction Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhi-Hong Deng, Kai Han

CVPR 2023 Network Expansion for Practical Training Acceleration Ning Ding, Yehui Tang, Kai Han, Chao Xu, Yunhe Wang

NeurIPS 2023 One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, Yunhe Wang, Chang Xu

CVPR 2022 An Image Patch Is a Wave: Phase-Aware Vision MLP Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Yanxi Li, Chao Xu, Yunhe Wang

NeurIPS 2022 Bridge the Gap Between Architecture Spaces via a Cross-Domain Predictor Yuqiao Liu, Yehui Tang, Zeqiong Lv, Yunhe Wang, Yanan Sun

CVPR 2022 CMT: Convolutional Neural Networks Meet Vision Transformers Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Xinghao Chen, Yunhe Wang, Chang Xu

NeurIPS 2022 GhostNetV2: Enhance Cheap Operation with Long-Range Attention Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang

NeurIPS 2022 GraphQNTK: Quantum Neural Tangent Kernel for Graph Data Yehui Tang, Junchi Yan

CVPR 2022 Hire-MLP: Vision MLP via Hierarchical Rearrangement Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang

NeurIPS 2022 Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation Zhiwei Hao, Jianyuan Guo, Ding Jia, Kai Han, Yehui Tang, Chao Zhang, Han Hu, Yunhe Wang

CVPR 2022 Patch Slimming for Efficient Vision Transformers Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao

CVPR 2022 Source-Free Domain Adaptation via Distribution Estimation Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao

ICML 2022 Spatial-Channel Token Distillation for Vision MLPs Yanxi Li, Xinghao Chen, Minjing Dong, Yehui Tang, Yunhe Wang, Chang Xu

NeurIPS 2022 Vision GNN: An Image Is Worth Graph of Nodes Kai Han, Yunhe Wang, Jianyuan Guo, Yehui Tang, Enhua Wu

NeurIPS 2021 Augmented Shortcuts for Vision Transformers Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang

ICCV 2021 Homogeneous Architecture Augmentation for Neural Predictor Yuqiao Liu, Yehui Tang, Yanan Sun

NeurIPS 2021 Learning Frequency Domain Approximation for Binary Neural Networks Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang

CVPR 2021 Manifold Regularized Dynamic Network Pruning Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu

CVPR 2021 ReNAS: Relativistic Evaluation of Neural Architecture Search Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu

AAAI 2020 Beyond Dropout: Feature mAP Distortion to Regularize Deep Neural Networks Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu

AAAI 2020 Reborn Filters: Pruning Convolutional Neural Networks with Limited Data Yehui Tang, Shan You, Chang Xu, Jin Han, Chen Qian, Boxin Shi, Chao Xu, Changshui Zhang

NeurIPS 2020 SCOP: Scientific Control for Reliable Neural Network Pruning Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu