Zichang Liu

Orcid: 0000-0002-5556-8117

According to our database1, Zichang Liu authored at least 20 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Wisdom of Committee: Distilling from Foundation Model to Specialized Application Model.
CoRR, 2024

2023
Research on Diesel Engine Fault Status Identification Method Based on Synchro Squeezing S-Transform and Vision Transformer.
Sensors, July, 2023

Heterogeneous federated collaborative filtering using FAIR: Federated Averaging in Random Subspaces.
CoRR, 2023

One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning.
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.
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.
Proceedings of the International Conference on Machine Learning, 2023

Learning Multimodal Data Augmentation in Feature Space.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Golden Sine SABO Integrating Multiple Strategies.
Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering, 2023

2022
Retaining Knowledge for Learning with Dynamic Definition.
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.
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.
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.
CoRR, 2021

Efficient Inference via Universal LSH Kernel.
CoRR, 2021

Efficient and Less Centralized Federated Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training.
Proceedings of the 9th International Conference on Learning Representations, 2021

Neighbor Oblivious Learning (NObLe) for Device Localization and Tracking.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020
Conditional Automated Channel Pruning for Deep Neural Networks.
CoRR, 2020

Climbing the WOL: Training for Cheaper Inference.
CoRR, 2020

2019
Guigle: a GUI search engine for Android apps.
Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

2018
Network Traffic Anomaly Detection Based on Wavelet Analysis.
Proceedings of the 16th IEEE International Conference on Software Engineering Research, 2018


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