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2020 – today
- 2024
[c6]Lianke Qin, Zhao Song, Ruizhe Zhang:
A General Algorithm for Solving Rank-one Matrix Sensing. AISTATS 2024: 757-765- [c5]Yeqi Gao, Lianke Qin, Zhao Song, Yitan Wang:
A Sublinear Adversarial Training Algorithm. ICLR 2024 - 2023
- [c4]Lianke Qin, Zhao Song, Lichen Zhang, Danyang Zhuo:
An Online and Unified Algorithm for Projection Matrix Vector Multiplication with Application to Empirical Risk Minimization. AISTATS 2023: 101-156 - [c3]Lianke Qin, Aravind Reddy
, Zhao Song:
Online Adaptive Mahalanobis Distance Estimation. IEEE Big Data 2023: 56-65 - [c2]Lianke Qin, Saayan Mitra, Zhao Song, Yuanyuan Yang, Tianyi Zhou:
Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training. IEEE Big Data 2023: 128-133 - [i11]Lianke Qin, Zhao Song, Ruizhe Zhang:
A General Algorithm for Solving Rank-one Matrix Sensing. CoRR abs/2303.12298 (2023) - [i10]Lianke Qin, Zhao Song, Yitan Wang:
Fast Submodular Function Maximization. CoRR abs/2305.08367 (2023) - [i9]Lianke Qin, Zhao Song, Yuanyuan Yang:
Efficient SGD Neural Network Training via Sublinear Activated Neuron Identification. CoRR abs/2307.06565 (2023) - [i8]Lianke Qin, Aravind Reddy, Zhao Song:
Online Adaptive Mahalanobis Distance Estimation. CoRR abs/2309.01030 (2023) - [i7]Lianke Qin, Zhao Song, Baocheng Sun:
Is Solving Graph Neural Tangent Kernel Equivalent to Training Graph Neural Network? CoRR abs/2309.07452 (2023) - [i6]Xinlu Zhang, Yujie Lu, Weizhi Wang, An Yan, Jun Yan, Lianke Qin, Heng Wang, Xifeng Yan, William Yang Wang, Linda Ruth Petzold:
GPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks. CoRR abs/2311.01361 (2023) - [i5]Lianke Qin, Saayan Mitra, Zhao Song, Yuanyuan Yang, Tianyi Zhou:
Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training. CoRR abs/2311.11429 (2023) - 2022
- [j2]Lianke Qin, Rajesh Jayaram, Elaine Shi, Zhao Song, Danyang Zhuo, Shumo Chu:
Differentially Oblivious Relational Database Operators. Proc. VLDB Endow. 16(4): 842-855 (2022) - [c1]Lianke Qin, Aravind Reddy, Zhao Song, Zhaozhuo Xu, Danyang Zhuo:
Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations. IEEE Big Data 2022: 115-120 - [i4]Yeqi Gao, Lianke Qin, Zhao Song, Yitan Wang:
A Sublinear Adversarial Training Algorithm. CoRR abs/2208.05395 (2022) - [i3]Lianke Qin, Rajesh Jayaram, Elaine Shi, Zhao Song, Danyang Zhuo, Shumo Chu:
Adore: Differentially Oblivious Relational Database Operators. CoRR abs/2212.05176 (2022) - [i2]Lianke Qin, Aravind Reddy, Zhao Song, Zhaozhuo Xu, Danyang Zhuo:
Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations. CoRR abs/2212.11408 (2022) - 2021
- [i1]Boyuan Feng, Lianke Qin, Zhenfei Zhang, Yufei Ding, Shumo Chu:
ZEN: Efficient Zero-Knowledge Proofs for Neural Networks. IACR Cryptol. ePrint Arch. 2021: 87 (2021)
2010 – 2019
- 2019
- [j1]Lianke Qin, Yifan Gong, Tianqi Tang, Yutian Wang, Jiangming Jin:
Training Deep Nets with Progressive Batch Normalization on Multi-GPUs. Int. J. Parallel Program. 47(3): 373-387 (2019)
Coauthor Index
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