Zhang, Zhiru

15 publications

ICML 2024 Differentiable Combinatorial Scheduling at Scale Mingju Liu, Yingjie Li, Jiaqi Yin, Zhiru Zhang, Cunxi Yu

AutoML 2024 FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search Jordan Dotzel, Gang Wu, Andrew Li, Muhammad Umar, Yun Ni, Mohamed S Abdelfattah, Zhiru Zhang, Liqun Cheng, Martin G Dixon, Norman P Jouppi, Quoc V Le, Sheng Li

ICML 2024 Learning from Students: Applying T-Distributions to Explore Accurate and Efficient Formats for LLMs Jordan Dotzel, Yuzong Chen, Bahaa Kotb, Sushma Prasad, Gang Wu, Sheng Li, Mohamed S Abdelfattah, Zhiru Zhang

ICLR 2024 Polynormer: Polynomial-Expressive Graph Transformer in Linear Time Chenhui Deng, Zichao Yue, Zhiru Zhang

NeurIPS 2023 Binarized Neural Machine Translation Yichi Zhang, Ankush Garg, Yuan Cao, Lukasz Lew, Behrooz Ghorbani, Zhiru Zhang, Orhan Firat

LoG 2022 GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks Chenhui Deng, Xiuyu Li, Zhuo Feng, Zhiru Zhang

CVPR 2022 PokeBNN: A Binary Pursuit of Lightweight Accuracy Yichi Zhang, Zhiru Zhang, Lukasz Lew

NeurIPS 2022 Understanding Hyperdimensional Computing for Parallel Single-Pass Learning Tao Yu, Yichi Zhang, Zhiru Zhang, Christopher M De Sa

NeurIPS 2021 BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining Weizhe Hua, Yichi Zhang, Chuan Guo, Zhiru Zhang, G. Edward Suh

ICML 2021 SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation Wuxinlin Cheng, Chenhui Deng, Zhiqiang Zhao, Yaohui Cai, Zhiru Zhang, Zhuo Feng

ICLR 2020 GraphZoom: A Multi-Level Spectral Approach for Accurate and Scalable Graph Embedding Chenhui Deng, Zhiqiang Zhao, Yongyu Wang, Zhiru Zhang, Zhuo Feng

ICLR 2020 Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations Yichi Zhang, Ritchie Zhao, Weizhe Hua, Nayun Xu, G. Edward Suh, Zhiru Zhang

NeurIPS 2019 Channel Gating Neural Networks Weizhe Hua, Yuan Zhou, Christopher M De Sa, Zhiru Zhang, G. Edward Suh

ICML 2019 Improving Neural Network Quantization Without Retraining Using Outlier Channel Splitting Ritchie Zhao, Yuwei Hu, Jordan Dotzel, Chris De Sa, Zhiru Zhang

CVPRW 2017 Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration Jeng-Hau Lin, Tianwei Xing, Ritchie Zhao, Zhiru Zhang, Mani B. Srivastava, Zhuowen Tu, Rajesh K. Gupta