Zichang Liu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Random Subspaces

Multimodal Data

Efficient Inference

Top Venues

ICSE (Companion Volume)

Publications

Zichang Liu, Qingyun Liu, Yuening Li, Liang Liu, Anshumali Shrivastava, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao
Wisdom of Committee: Distilling from Foundation Model to Specialized Application Model. CoRR (2024)
Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Ré, Beidi Chen
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time. ICML (2023)
Zichang Liu, Zhaozhuo Xu, Benjamin Coleman, Anshumali Shrivastava
One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning. NeurIPS (2023)
Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, Anshumali Shrivastava
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time. CoRR (2023)
Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, Anshumali Shrivastava
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time. NeurIPS (2023)
Zichang Liu, Zhiqiang Tang, Xingjian Shi, Aston Zhang, Mu Li, Anshumali Shrivastava, Andrew Gordon Wilson
Learning Multimodal Data Augmentation in Feature Space. ICLR (2023)
Aditya Desai, Benjamin Meisburger, Zichang Liu, Anshumali Shrivastava
Heterogeneous federated collaborative filtering using FAIR: Federated Averaging in Random Subspaces. CoRR (2023)
Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Ré, Beidi Chen
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time. CoRR (2023)
Zichang Liu, Hui Liang, Siyu Li, Rongcai Wang, Yueming Han
Golden Sine SABO Integrating Multiple Strategies. ICAICE (2023)
Siyu Li, Zichang Liu, Yunbin Yan, Rongcai Wang, Enzhi Dong, Zhonghua Cheng
Research on Diesel Engine Fault Status Identification Method Based on Synchro Squeezing S-Transform and Vision Transformer. Sensors 23 (14) (2023)
Zichang Liu, Zhaozhuo Xu, Alan Baonan Ji, Junyan Zhang, Jonathan Li, Beidi Chen, Anshumali Shrivastava
HALOS: Hashing Large Output Space for Cheap Inference. MLSys (2022)
Haitao Lin, Zichang Liu, Chilam Cheang, Yanwei Fu, Guodong Guo, Xiangyang Xue
SAR-Net: Shape Alignment and Recovery Network for Category-level 6D Object Pose and Size Estimation. CVPR (2022)
Zichang Liu, Zhiqiang Tang, Xingjian Shi, Aston Zhang, Mu Li, Anshumali Shrivastava, Andrew Gordon Wilson
Learning Multimodal Data Augmentation in Feature Space. CoRR (2022)
Zichang Liu, Benjamin Coleman, Tianyi Zhang, Anshumali Shrivastava
Retaining Knowledge for Learning with Dynamic Definition. NeurIPS (2022)
Zichang Liu, Benjamin Coleman, Anshumali Shrivastava
Efficient Inference via Universal LSH Kernel. CoRR (2021)
Li Chou, Zichang Liu, Zhuang Wang, Anshumali Shrivastava
Efficient and Less Centralized Federated Learning. ECML/PKDD (1) (2021)
Zichang Liu, Li Chou, Anshumali Shrivastava
Neighbor Oblivious Learning (NObLe) for Device Localization and Tracking. DATE (2021)
Li Chou, Zichang Liu, Zhuang Wang, Anshumali Shrivastava
Efficient and Less Centralized Federated Learning. CoRR (2021)
Beidi Chen, Zichang Liu, Binghui Peng, Zhaozhuo Xu, Jonathan Lingjie Li, Tri Dao, Zhao Song, Anshumali Shrivastava, Christopher Ré
MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training. ICLR (2021)
Haitao Lin, Zichang Liu, Chilam Cheang, Lingwei Zhang, Yanwei Fu, Xiangyang Xue
DONet: Learning Category-Level 6D Object Pose and Size Estimation from Depth Observation. CoRR (2021)
Zichang Liu, Zhaozhuo Xu, Alan Baonan Ji, Jonathan Li, Beidi Chen, Anshumali Shrivastava
Climbing the WOL: Training for Cheaper Inference. CoRR (2020)
Zichang Liu, Li Chou, Anshumali Shrivastava
Neighbor Oblivious Learning (NObLe) for Device Localization and Tracking. CoRR (2020)
Yixin Liu, Yong Guo, Zichang Liu, Haohua Liu, Jingjie Zhang, Zejun Chen, Jing Liu, Jian Chen
Conditional Automated Channel Pruning for Deep Neural Networks. CoRR (2020)
Carlos Bernal-Cárdenas, Kevin Moran, Michele Tufano, Zichang Liu, Linyong Nan, Zhehan Shi, Denys Poshyvanyk
Guigle: a GUI search engine for Android apps. ICSE (Companion Volume) (2019)
Carlos Bernal-Cárdenas, Kevin Moran, Michele Tufano, Zichang Liu, Linyong Nan, Zhehan Shi, Denys Poshyvanyk
Guigle: A GUI Search Engine for Android Apps. CoRR (2019)
Zhen Du, Lipeng Ma, Huakang Li, Qun Li, Guozi Sun, Zichang Liu
Network Traffic Anomaly Detection Based on Wavelet Analysis. SERA (2018)