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Publication search results
found 180 matches
- 2023
- Jiansi Ren
, Meilin Shi, Jiannan Chen, Ruoxiang Wang, Xin Wang:
Hyperspectral image classification using multi-level features fusion capsule network with a dense structure. Appl. Intell. 53(11): 14162-14181 (2023) - Peiran Jiang
, Ruoxi Cai, Jose Lugo-Martinez, Yaping Guo
:
A hybrid positive unlabeled learning framework for uncovering scaffolds across human proteome by measuring the propensity to drive phase separation. Briefings Bioinform. 24(2) (2023) - Ruoxing Li, Mehmet Altan, Alexandre Reuben, Ruitao Lin, John V. Heymach, Hai Tran, Runzhe Chen, Latasha Little, Shawna Hubert, Jianjun Zhang, Ziyi Li:
A novel statistical method for decontaminating T-cell receptor sequencing data. Briefings Bioinform. 24(4) (2023) - Mengmeng Wu, Ruoxi Jia, Changle Lin, Wei Huang, Xiangyu Chang:
Variance reduced Shapley value estimation for trustworthy data valuation. Comput. Oper. Res. 159: 106305 (2023) - Runing Yang, Ruoxi Jia, Xiangyu Zhang
, Ming Jin
:
Certifiably Robust Neural ODE With Learning-Based Barrier Function. IEEE Control. Syst. Lett. 7: 1634-1639 (2023) - Meilin Shi, Ruoxiang Wang, Jiansi Ren:
Hierarchical capsule network for hyperspectral image classification. Neural Comput. Appl. 35(25): 18417-18443 (2023) - Ruoxi Sun
, Tianzhao Zhang, Yong Wan, Fuping Zhang
, Jianming Wei:
WLiT: Windows and Linear Transformer for Video Action Recognition. Sensors 23(3): 1616 (2023) - Tianzhao Zhang
, Ruoxi Sun
, Yong Wan, Fuping Zhang
, Jianming Wei:
MSFFAL: Few-Shot Object Detection via Multi-Scale Feature Fusion and Attentive Learning. Sensors 23(7): 3609 (2023) - Ming Jin, Vanshaj Khattar, Harshal Kaushik, Bilgehan Sel, Ruoxi Jia:
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds. AAAI 2023: 8123-8131 - Jiachen T. Wang, Ruoxi Jia:
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning. AISTATS 2023: 6388-6421 - Yuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Qingpeng Zhu, Qianhui Sun, Wenxiu Sun, Chen Change Loy, Jinwei Gu, Shuai Liu, Hao Wang, Chaoyu Feng, Luyang Wang, Guangqi Shao, Chenguang Zhang, Xiaotao Wang, Lei Lei, Dafeng Zhang, Xiangyu Kong, Guanqun Liu, Mengmeng Bai, Jia Ouyang, Xiaobing Wang, Jiahui Yuan, Xinpeng Li, Chengzhi Jiang, Ting Jiang, Wenjie Lin, Qi Wu, Mingyan Han, Jinting Luo, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Bo Yan, Zhuang Li, Yadong Li, Hongbin Wang, Soonyong Song, Minghan Fu, Rayyan Azam Khan, Fang-Xiang Wu, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Bo Wang, Yan Luo, Shuaibo Gao, Wenhui Wu, Sicong Kang, Nikhil Akalwadi, Ankit Raichur, Vinod Patil, Allabakash G, Swaroop A, Amogh Joshi, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Sicheng Li, Ruoxi Zhu, Jiazheng Lian, Shusong Xu, Zihao Liu, Sabari Nathan, Priya Kansal:
MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results. CVPR Workshops 2023: 2853-2863 - Hoang Anh Just, Feiyang Kang, Tianhao Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia:
LAVA: Data Valuation without Pre-Specified Learning Algorithms. ICLR 2023 - Yi Zeng, Zhouxing Shi, Ming Jin, Feiyang Kang, Lingjuan Lyu, Cho-Jui Hsieh, Ruoxi Jia:
Towards Robustness Certification Against Universal Perturbations. ICLR 2023 - Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou:
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers. ICML 2023: 13199-13212 - Zhihong Liu, Hoang Anh Just, Xiangyu Chang, Xi Chen, Ruoxi Jia:
2D-Shapley: A Framework for Fragmented Data Valuation. ICML 2023: 21730-21755 - Bilgehan Sel, Ahmad Al-Tawaha, Yuhao Ding, Ruoxi Jia, Bo Ji, Javad Lavaei, Ming Jin:
Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold. L4DC 2023: 38-50 - Derek Zhiyuan Cheng, Ruoxi Wang, Wang-Cheng Kang, Benjamin Coleman, Yin Zhang, Jianmo Ni, Jonathan Valverde, Lichan Hong, Ed H. Chi:
Efficient Data Representation Learning in Google-scale Systems. RecSys 2023: 267-271 - Ruoxiang Li, Tao Hu, Xu Jiang, Laiwen Li, Wenxuan Xing, Qingxu Deng, Nan Guan:
ROSGM: A Real-Time GPU Management Framework with Plug-In Policies for ROS 2. RTAS 2023: 93-105 - Minzhou Pan, Yi Zeng, Lingjuan Lyu, Xue Lin, Ruoxi Jia:
ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms. USENIX Security Symposium 2023 - Yi Zeng, Minzhou Pan, Himanshu Jahagirdar, Ming Jin, Lingjuan Lyu, Ruoxi Jia:
Meta-Sift: How to Sift Out a Clean Subset in the Presence of Data Poisoning? USENIX Security Symposium 2023 - Minzhou Pan, Yi Zeng, Lingjuan Lyu, Xue Lin, Ruoxi Jia:
ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms. CoRR abs/2302.11408 (2023) - Jiachen T. Wang, Ruoxi Jia:
A Note on "Towards Efficient Data Valuation Based on the Shapley Value". CoRR abs/2302.11431 (2023) - Hanmeng Liu, Ruoxi Ning, Zhiyang Teng, Jian Liu, Qiji Zhou, Yue Zhang:
Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4. CoRR abs/2304.03439 (2023) - Jiachen T. Wang, Ruoxi Jia:
A Note on "Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms". CoRR abs/2304.04258 (2023) - Jiachen T. Wang, Saeed Mahloujifar, Tong Wu, Ruoxi Jia, Prateek Mittal:
A Randomized Approach for Tight Privacy Accounting. CoRR abs/2304.07927 (2023) - Hoang Anh Just, Feiyang Kang, Jiachen T. Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia:
LAVA: Data Valuation without Pre-Specified Learning Algorithms. CoRR abs/2305.00054 (2023) - Elena Orlova, Aleksei Ustimenko, Ruoxi Jiang, Peter Y. Lu, Rebecca Willett:
Deep Stochastic Mechanics. CoRR abs/2305.19685 (2023) - Ruoxi Jiang, Peter Y. Lu, Elena Orlova, Rebecca Willett:
Training neural operators to preserve invariant measures of chaotic attractors. CoRR abs/2306.01187 (2023) - Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou:
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers. CoRR abs/2306.02368 (2023) - Zhihong Liu, Hoang Anh Just, Xiangyu Chang, Xi Chen, Ruoxi Jia:
2D-Shapley: A Framework for Fragmented Data Valuation. CoRR abs/2306.10473 (2023)
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