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Chris Liu
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2020 – today
- 2024
- [j3]David C. Y. Chu, Rithvik Panchapakesan, Shadaj Laddad, Lucky E. Katahanas, Chris Liu, Kaushik Shivakumar, Natacha Crooks, Joseph M. Hellerstein, Heidi Howard:
Optimizing Distributed Protocols with Query Rewrites. Proc. ACM Manag. Data 2(1): 2:1-2:25 (2024) - [c16]Kilho Shin, Chris Liu, Katsuyuki Maeda, Hiroaki Ohshima:
BornFS: Feature Selection with Balanced Relevance and Nuisance and Its Application to Very Large Datasets. ICAART (3) 2024: 1100-1107 - [c15]Renrui Zhang, Jiaming Han, Chris Liu, Aojun Zhou, Pan Lu, Yu Qiao, Hongsheng Li, Peng Gao:
LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention. ICLR 2024 - [c14]Kilho Shin, Takenobu Seito, Chris Liu:
Towards Federated Learning by Kernels. ICMRE 2024: 317-323 - [c13]David C. Y. Chu, Chris Liu, Natacha Crooks, Joseph M. Hellerstein, Heidi Howard:
Bigger, not Badder: Safely Scaling BFT Protocols. PaPoC@EuroSys 2024: 30-36 - [i11]Peng Gao, Renrui Zhang, Chris Liu, Longtian Qiu, Siyuan Huang, Weifeng Lin, Shitian Zhao, Shijie Geng, Ziyi Lin, Peng Jin, Kaipeng Zhang, Wenqi Shao, Chao Xu, Conghui He, Junjun He, Hao Shao, Pan Lu, Hongsheng Li, Yu Qiao:
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models. CoRR abs/2402.05935 (2024) - [i10]David Chu, Rithvik Panchapakesan, Shadaj Laddad, Lucky Katahanas, Chris Liu, Kaushik Shivakumar, Natacha Crooks, Joseph M. Hellerstein, Heidi Howard:
Optimizing Distributed Protocols with Query Rewrites [Technical Report]. CoRR abs/2404.01593 (2024) - 2023
- [j2]Ziliang Lai, Chris Liu, Eric Lo:
When Private Blockchain Meets Deterministic Database. Proc. ACM Manag. Data 1(1): 98:1-98:28 (2023) - [i9]Jiaming Han, Renrui Zhang, Wenqi Shao, Peng Gao, Peng Xu, Han Xiao, Kaipeng Zhang, Chris Liu, Song Wen, Ziyu Guo, Xudong Lu, Shuai Ren, Yafei Wen, Xiaoxin Chen, Xiangyu Yue, Hongsheng Li, Yu Qiao:
ImageBind-LLM: Multi-modality Instruction Tuning. CoRR abs/2309.03905 (2023) - [i8]Ziyi Lin, Chris Liu, Renrui Zhang, Peng Gao, Longtian Qiu, Han Xiao, Han Qiu, Chen Lin, Wenqi Shao, Keqin Chen, Jiaming Han, Siyuan Huang, Yichi Zhang, Xuming He, Hongsheng Li, Yu Qiao:
SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models. CoRR abs/2311.07575 (2023) - 2022
- [j1]Chaichon Wongkham, Baotong Lu, Chris Liu, Zhicong Zhong, Eric Lo, Tianzheng Wang:
Are Updatable Learned Indexes Ready? Proc. VLDB Endow. 15(11): 3004-3017 (2022) - [c12]Ziliang Lai, Chris Liu, Chenxia Han, Pengfei Zhang, Eric Lo, Ben Kao:
Everest: A Top-K Deep Video Analytics System. SIGMOD Conference 2022: 2357-2360 - [i7]Chaichon Wongkham, Baotong Lu, Chris Liu, Zhicong Zhong, Eric Lo, Tianzheng Wang:
Are Updatable Learned Indexes Ready? CoRR abs/2207.02900 (2022) - [i6]Ziliang Lai, Chris Liu, Eric Lo:
When Private Blockchain Meets Deterministic Database. CoRR abs/2211.15163 (2022) - 2021
- [c11]Ziliang Lai, Chenxia Han, Chris Liu, Pengfei Zhang, Eric Lo, Ben Kao:
Top-K Deep Video Analytics: A Probabilistic Approach. SIGMOD Conference 2021: 1037-1050 - 2020
- [c10]Chris Liu, Pengfei Zhang, Bo Tang, Hang Shen, Ziliang Lai, Eric Lo, Korris Fu-Lai Chung:
Towards Self-Tuning Parameter Servers. IEEE BigData 2020: 310-319 - [i5]Ziliang Lai, Chenxia Han, Chris Liu, Pengfei Zhang, Eric Lo, Ben Kao:
Finding Interesting Frames in Deep Video Analytics: a Top-K Approach. CoRR abs/2003.00773 (2020)
2010 – 2019
- 2019
- [c9]Zhuoyue Zhao, Jialing Pei, Kenny Q. Zhu, Eric Lo, Chris Liu:
InferSpark: Statistical Inference at Scale. BigComp 2019: 1-8 - [c8]Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang:
Structured Knowledge Distillation for Semantic Segmentation. CVPR 2019: 2604-2613 - [i4]Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang:
Structured Knowledge Distillation for Semantic Segmentation. CoRR abs/1903.04197 (2019) - 2018
- [c7]Sherman S. M. Chow, Ziliang Lai, Chris Liu, Eric Lo, Yongjun Zhao:
Sharding Blockchain. iThings/GreenCom/CPSCom/SmartData 2018: 1665 - [i3]Ziliang Lai, Chris Liu, Eric Lo, Ben Kao, Siu-Ming Yiu:
Decentralized Search on Decentralized Web. CoRR abs/1809.00939 (2018) - [i2]Chris Liu, Pengfei Zhang, Bo Tang, Hang Shen, Lei Zhu, Ziliang Lai, Eric Lo:
Towards Self-Tuning Parameter Servers. CoRR abs/1810.02935 (2018) - 2017
- [i1]Zhuoyue Zhao, Eric Lo, Kenny Q. Zhu, Chris Liu:
InferSpark: Statistical Inference at Scale. CoRR abs/1707.02047 (2017) - 2016
- [c6]Qiang Zhang, Andy He, Chris Liu, Eric Lo:
Closest Interval Join Using MapReduce. DSAA 2016: 302-311 - 2013
- [c5]Wei Gao, Chris Liu:
Performance enhancement of a WCDMA/HSDPA+ receiver via minimizing error vector magnitude. ITC 2013: 1-7 - 2012
- [c4]Isaac Woungang, Sanjay Kumar Dhurandher, Mohammad S. Obaidat, Han-Chieh Chao, Chris Liu:
Trust-enhanced message security protocol for mobile ad hoc networks. ICC 2012: 988-992 - [c3]Shih-Wei Sun, Wen-Huang Cheng, Yao-Ling Hung, Ivy Fan, Chris Liu, Jacqueline Hung, Chia-Kai Lin, Hong-Yuan Mark Liao:
Who's Who in a Sports Video? An Individual Level Sports Video Indexing System. ICME 2012: 937-942
2000 – 2009
- 2009
- [c2]Lusong Li, Tao Mei, Chris Liu, Xian-Sheng Hua:
Gamesense. WWW 2009: 1097-1098 - 2005
- [c1]Scott James Williamson, Chris Liu:
An Expert System for Web Site Navigation using Client Side Scripting. IASSE 2005: 180-184
Coauthor Index
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