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Zichang Liu

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Wisdom of Committee: Distilling from Foundation Model to SpecializedApplication Model

Feb 21, 2024
Zichang Liu, Qingyun Liu, Yuening Li, Liang Liu, Anshumali Shrivastava, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao

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Heterogeneous federated collaborative filtering using FAIR: Federated Averaging in Random Subspaces

Nov 03, 2023
Aditya Desai, Benjamin Meisburger, Zichang Liu, Anshumali Shrivastava

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Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time

Oct 26, 2023
Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Re, Beidi Chen

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Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time

May 26, 2023
Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, Anshumali Shrivastava

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Learning Multimodal Data Augmentation in Feature Space

Dec 29, 2022
Zichang Liu, Zhiqiang Tang, Xingjian Shi, Aston Zhang, Mu Li, Anshumali Shrivastava, Andrew Gordon Wilson

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DONet: Learning Category-Level 6D Object Pose and Size Estimation from Depth Observation

Jun 27, 2021
Haitao Lin, Zichang Liu, Chilam Cheang, Lingwei Zhang, Yanwei Fu, Xiangyang Xue

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Efficient Inference via Universal LSH Kernel

Jun 21, 2021
Zichang Liu, Benjamin Coleman, Anshumali Shrivastava

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Neighbor Oblivious Learning (NObLe) for Device Localization and Tracking

Nov 23, 2020
Zichang Liu, Li Chou, Anshumali Shrivastava

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Conditional Automated Channel Pruning for Deep Neural Networks

Sep 27, 2020
Yixin Liu, Yong Guo, Zichang Liu, Haohua Liu, Jingjie Zhang, Zejun Chen, Jing Liu, Jian Chen

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