Zichang Liu

According to our database, Zichang Liu authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Wisdom of Committee: Distilling from Foundation Model to Specialized Application Model.

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

CoRR, 2024

2023

Research on Diesel Engine Fault Status Identification Method Based on Synchro Squeezing S-Transform and Vision Transformer.

Siyu Li, Zichang Liu, Yunbin Yan, Rongcai Wang, Enzhi Dong, Zhonghua Cheng

Sensors, July, 2023

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

Aditya Desai, Benjamin Meisburger, Zichang Liu, Anshumali Shrivastava

CoRR, 2023

One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning.

Zichang Liu, Zhaozhuo Xu, Benjamin Coleman, Anshumali Shrivastava

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time.

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

Proceedings of the International Conference on Machine Learning, 2023

Learning Multimodal Data Augmentation in Feature Space.

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Golden Sine SABO Integrating Multiple Strategies.

Zichang Liu, Hui Liang, Siyu Li, Rongcai Wang, Yueming Han

Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering, 2023

2022

Retaining Knowledge for Learning with Dynamic Definition.

Zichang Liu, Benjamin Coleman, Tianyi Zhang, Anshumali Shrivastava

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

HALOS: Hashing Large Output Space for Cheap Inference.

Zichang Liu, Zhaozhuo Xu, Alan Baonan Ji, Junyan Zhang, Jonathan Li, Beidi Chen, Anshumali Shrivastava

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

SAR-Net: Shape Alignment and Recovery Network for Category-level 6D Object Pose and Size Estimation.

Haitao Lin, Zichang Liu, Chilam Cheang, Yanwei Fu, Guodong Guo, Xiangyang Xue

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

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

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

CoRR, 2021

Efficient Inference via Universal LSH Kernel.

Zichang Liu, Benjamin Coleman, Anshumali Shrivastava

CoRR, 2021

Efficient and Less Centralized Federated Learning.

Li Chou, Zichang Liu, Zhuang Wang, Anshumali Shrivastava

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training.

Beidi Chen, Zichang Liu, Binghui Peng, Zhaozhuo Xu, Jonathan Lingjie Li, Tri Dao, Zhao Song, Anshumali Shrivastava, Christopher Ré

Proceedings of the 9th International Conference on Learning Representations, 2021

Neighbor Oblivious Learning (NObLe) for Device Localization and Tracking.

Zichang Liu, Li Chou, Anshumali Shrivastava

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

Conditional Automated Channel Pruning for Deep Neural Networks.

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

CoRR, 2020

Climbing the WOL: Training for Cheaper Inference.

Zichang Liu, Zhaozhuo Xu, Alan Baonan Ji, Jonathan Li, Beidi Chen, Anshumali Shrivastava

CoRR, 2020

2019

Guigle: a GUI search engine for Android apps.

Carlos Bernal-Cárdenas, Kevin Moran, Michele Tufano, Zichang Liu, Linyong Nan, Zhehan Shi, Denys Poshyvanyk

Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

2018

Network Traffic Anomaly Detection Based on Wavelet Analysis.

Zhen Du, Lipeng Ma, Huakang Li, Qun Li, Guozi Sun, Zichang Liu

Proceedings of the 16th IEEE International Conference on Software Engineering Research, 2018