Zichang Liu
Zichang Liu
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Deja vu: Contextual sparsity for efficient llms at inference time
Z Liu, J Wang, T Dao, T Zhou, B Yuan, Z Song, A Shrivastava, C Zhang, ...
International Conference on Machine Learning, 22137-22176, 2023
Mongoose: A learnable lsh framework for efficient neural network training
B Chen, Z Liu, B Peng, Z Xu, JL Li, T Dao, Z Song, A Shrivastava, C Re
International Conference on Learning Representations, 2020
Scissorhands: Exploiting the persistence of importance hypothesis for llm kv cache compression at test time
Z Liu, A Desai, F Liao, W Wang, V Xie, Z Xu, A Kyrillidis, A Shrivastava
Advances in Neural Information Processing Systems 36, 2024
Guigle: A gui search engine for android apps
C Bernal-Cárdenas, K Moran, M Tufano, Z Liu, L Nan, Z Shi, ...
2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019
Efficient and less centralized federated learning
L Chou, Z Liu, Z Wang, A Shrivastava
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021
Learning Multimodal Data Augmentation in Feature Space
Z Liu, Z Tang, X Shi, A Zhang, M Li, A Shrivastava, AG Wilson
ICLR, 2022
Halos: Hashing large output space for cheap inference
Z Liu, Z Xu, A Ji, J Zhang, J Li, B Chen, A Shrivastava
Proceedings of Machine Learning and Systems 4, 110-125, 2022
Heterogeneous federated collaborative filtering using FAIR: Federated Averaging in Random Subspaces
A Desai, B Meisburger, Z Liu, A Shrivastava
arXiv preprint arXiv:2311.01722, 2023
Retaining Knowledge for Learning with Dynamic Definition
Z Liu, B Coleman, T Zhang, A Shrivastava
Advances in Neural Information Processing Systems, 2022
Wisdom of Committee: Distilling from Foundation Model to SpecializedApplication Model
Z Liu, Q Liu, Y Li, L Liu, A Shrivastava, S Bi, L Hong, EH Chi, Z Zhao
arXiv preprint arXiv:2402.14035, 2024
One-pass distribution sketch for measuring data heterogeneity in federated learning
Z Liu, Z Xu, B Coleman, A Shrivastava
Advances in Neural Information Processing Systems 36, 2024
Efficient Inference via Universal LSH Kernel
Z Liu, B Coleman, A Shrivastava
arXiv preprint arXiv:2106.11426, 2021
Neighbor Oblivious Learning (NObLe) for Device Localization and Tracking
Z Liu, L Chou, A Shrivastava
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2021
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