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2020 – today
- 2024
[j8]Senlin Shu
, Deng-Bao Wang, Suqin Yuan, Hongxin Wei, Jiuchuan Jiang, Lei Feng, Min-Ling Zhang:
Multiple-instance Learning from Triplet Comparison Bags. ACM Trans. Knowl. Discov. Data 18(4): 90:1-90:18 (2024)- [c27]Shiyu Tian, Hongxin Wei, Yiqun Wang, Lei Feng:
CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning. CVPR 2024: 19479-19488 - [c26]Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj:
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks. ICLR 2024 - [c25]Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei:
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection. ICLR 2024 - [c24]Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng:
Consistent Multi-Class Classification from Multiple Unlabeled Datasets. ICLR 2024 - [c23]Jianguo Huang, Huajun Xi, Linjun Zhang, Huaxiu Yao, Yue Qiu, Hongxin Wei:
Conformal Prediction for Deep Classifier via Label Ranking. ICML 2024 - [c22]Zhenlong Liu, Lei Feng, Huiping Zhuang, Xiaofeng Cao, Hongxin Wei:
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss. ICML 2024 - [c21]Shuoyuan Wang, Jindong Wang, Guoqing Wang, Bob Zhang, Kaiyang Zhou, Hongxin Wei:
Open-Vocabulary Calibration for Fine-tuned CLIP. ICML 2024 - [c20]Xiaobo Xia, Jiale Liu, Shaokun Zhang, Qingyun Wu, Hongxin Wei, Tongliang Liu:
Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints. ICML 2024 - [i32]Huajun Xi, Jianguo Huang, Lei Feng, Hongxin Wei:
Does Confidence Calibration Help Conformal Prediction? CoRR abs/2402.04344 (2024) - [i31]Shuoyuan Wang, Jindong Wang, Guoqing Wang, Bob Zhang, Kaiyang Zhou, Hongxin Wei:
Open-Vocabulary Calibration for Vision-Language Models. CoRR abs/2402.04655 (2024) - [i30]Wenyu Jiang, Zhenlong Liu, Zejian Xie, Songxin Zhang, Bingyi Jing, Hongxin Wei:
Exploring Learning Complexity for Downstream Data Pruning. CoRR abs/2402.05356 (2024) - [i29]Zhenlong Liu, Lei Feng, Huiping Zhuang, Xiaofeng Cao, Hongxin Wei:
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss. CoRR abs/2402.05453 (2024) - [i28]Hongxin Wei, Jianguo Huang:
TorchCP: A Library for Conformal Prediction based on PyTorch. CoRR abs/2402.12683 (2024) - [i27]Hao Chen, Jindong Wang, Zihan Wang, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj:
Learning with Noisy Foundation Models. CoRR abs/2403.06869 (2024) - [i26]Huiping Zhuang, Yizhu Chen, Di Fang, Run He, Kai Tong, Hongxin Wei, Ziqian Zeng, Cen Chen:
G-ACIL: Analytic Learning for Exemplar-Free Generalized Class Incremental Learning. CoRR abs/2403.15706 (2024) - [i25]Hongfu Gao, Feipeng Zhang, Wenyu Jiang, Jun Shu, Feng Zheng, Hongxin Wei:
On the Noise Robustness of In-Context Learning for Text Generation. CoRR abs/2405.17264 (2024) - [i24]Minghao Liu, Zonglin Di, Jiaheng Wei, Zhongruo Wang, Hengxiang Zhang, Ruixuan Xiao, Haoyu Wang, Jinlong Pang, Hao Chen, Ankit Shah, Hongxin Wei, Xinlei He, Zhaowei Zhao, Haobo Wang, Lei Feng, Jindong Wang, James Davis, Yang Liu:
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond. CoRR abs/2408.11338 (2024) - [i23]Shuoyuan Wang, Yixuan Li, Hongxin Wei:
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models. CoRR abs/2410.02681 (2024) - 2023
- [b1]Hongxin Wei:
Natural robustness of machine learning in the open world. Nanyang Technological University, Singapore, 2023 - [j7]Shuoyuan Wang, Jindong Wang, Huajun Xi, Bob Zhang, Lei Zhang, Hongxin Wei:
Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(4): 183:1-183:27 (2023) - [j6]Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu:
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity. IEEE Trans. Knowl. Data Eng. 35(11): 11599-11609 (2023) - [j5]Hongxin Wei, Renchunzi Xie, Lei Feng, Bo Han, Bo An:
Deep Learning From Multiple Noisy Annotators as A Union. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10552-10562 (2023) - [c19]Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng:
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. AAAI 2023: 9829-9836 - [c18]Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li:
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction. ICML 2023: 36868-36886 - [c17]Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An:
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. NeurIPS 2023 - [c16]Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng:
Regression with Cost-based Rejection. NeurIPS 2023 - [c15]Renchunzi Xie, Hongxin Wei, Lei Feng, Yuzhou Cao, Bo An:
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. NeurIPS 2023 - [i22]Shiyu Tian, Hongxin Wei, Yiqun Wang, Lei Feng:
CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning. CoRR abs/2303.10365 (2023) - [i21]Renchunzi Xie, Hongxin Wei, Yuzhou Cao, Lei Feng, Bo An:
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. CoRR abs/2303.15488 (2023) - [i20]Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei:
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection. CoRR abs/2306.02031 (2023) - [i19]Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng:
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. CoRR abs/2306.06894 (2023) - [i18]Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj:
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks. CoRR abs/2309.17002 (2023) - [i17]Jianguo Huang, Huajun Xi, Linjun Zhang, Huaxiu Yao, Yue Qiu, Hongxin Wei:
Conformal Prediction for Deep Classifier via Label Ranking. CoRR abs/2310.06430 (2023) - [i16]Shuoyuan Wang, Jindong Wang, Huajun Xi, Bob Zhang, Lei Zhang, Hongxin Wei:
Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition. CoRR abs/2310.18562 (2023) - [i15]Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An:
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. CoRR abs/2311.01106 (2023) - [i14]Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng:
Regression with Cost-based Rejection. CoRR abs/2311.04550 (2023) - 2022
- [c14]Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An:
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation. AAAI 2022: 8717-8725 - [c13]Hongxin Wei, Lin Zheng, Chao Yang, Ningyan Wei, Zhenghong Liu:
α-MF Detection Based on Spatial Correlation of Sea Clutter. ICCT 2022: 1049-1053 - [c12]Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An:
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. ICML 2022: 23615-23630 - [c11]Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li:
Mitigating Neural Network Overconfidence with Logit Normalization. ICML 2022: 23631-23644 - [c10]Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen:
Can Adversarial Training Be Manipulated By Non-Robust Features? NeurIPS 2022 - [c9]Huiping Zhuang, Zhenyu Weng, Hongxin Wei, Renchunzi Xie, Kar-Ann Toh, Zhiping Lin:
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection. NeurIPS 2022 - [i13]Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An:
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation. CoRR abs/2201.06001 (2022) - [i12]Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen:
Can Adversarial Training Be Manipulated By Non-Robust Features? CoRR abs/2201.13329 (2022) - [i11]Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li:
Mitigating Neural Network Overconfidence with Logit Normalization. CoRR abs/2205.09310 (2022) - [i10]Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An:
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. CoRR abs/2206.08802 (2022) - [i9]Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li:
Logit Clipping for Robust Learning against Label Noise. CoRR abs/2212.04055 (2022) - 2021
- [j4]Lei Feng, Hongxin Wei, Qingyu Guo, Zhuoyi Lin, Bo An:
Embedding-Augmented Generalized Matrix Factorization for Recommendation With Implicit Feedback. IEEE Intell. Syst. 36(6): 32-41 (2021) - [c8]Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao:
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management. AAAI 2021: 626-633 - [c7]Ziqi Zhang, Yuexiang Li, Hongxin Wei, Kai Ma, Tao Xu, Yefeng Zheng:
Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix. BMVC 2021: 128 - [c6]Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu:
Multiple-Instance Learning from Similar and Dissimilar Bags. KDD 2021: 374-382 - [c5]Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An:
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise. NeurIPS 2021: 7978-7992 - [i8]Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An:
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise. CoRR abs/2106.10891 (2021) - [i7]Ziqi Zhang, Yuexiang Li, Hongxin Wei, Kai Ma, Tao Xu, Yefeng Zheng:
Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix. CoRR abs/2110.08866 (2021) - 2020
- [j3]Hongxin Wei, Wei Feng, Yunfei Chen, Cheng-Xiang Wang, Ning Ge:
Rethinking Blockchains in the Internet of Things Era from a Wireless Communication Perspective. IEEE Netw. 34(6): 24-30 (2020) - [j2]Hongxin Wei, Wei Feng, Chi Zhang, Yunfei Chen, Yuguang Fang, Ning Ge:
Creating Efficient Blockchains for the Internet of Things by Coordinated Satellite-Terrestrial Networks. IEEE Wirel. Commun. 27(3): 104-110 (2020) - [c4]Hongxin Wei, Lei Feng, Xiangyu Chen, Bo An:
Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization. CVPR 2020: 13723-13732 - [i6]Hongxin Wei, Wei Feng, Chi Zhang, Yunfei Chen, Yuguang Fang, Ning Ge:
Creating Efficient Blockchains for the Internet of Things by Coordinated Satellite-Terrestrial Networks. CoRR abs/2001.01358 (2020) - [i5]Hongxin Wei, Lei Feng, Xiangyu Chen, Bo An:
Combating noisy labels by agreement: A joint training method with co-regularization. CoRR abs/2003.02752 (2020) - [i4]Hongxin Wei, Wei Feng, Yunfei Chen, Cheng-Xiang Wang, Ning Ge:
Rethinking Blockchains in the Internet of Things Era from a Wireless Communication Perspective. CoRR abs/2005.11778 (2020) - [i3]Xinran Fang, Te Wei, Wei Feng, Hongxin Wei, Yunfei Chen, Ning Ge, Cheng-Xiang Wang:
5G Embraces Satellites for 6G Ubiquitous IoT: Basic Models for Integrated Satellite Terrestrial Networks. CoRR abs/2011.03182 (2020) - [i2]Hongxin Wei, Lei Feng, Rundong Wang, Bo An:
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting. CoRR abs/2012.05273 (2020) - [i1]Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao:
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management. CoRR abs/2012.12620 (2020)
2010 – 2019
- 2018
- [j1]Hongxin Wei, Yunzhou Li, Limin Xiao, Shidong Zhou:
Queue-aware energy-efficient scheduling and power allocation with feedback reduction in small-cell networks. Sci. China Inf. Sci. 61(4): 048301:1-048301:3 (2018) - 2016
- [c3]Hongxin Wei, Limin Xiao, Yunzhou Li, Shidong Zhou:
Queue-aware energy-efficient scheduling and power allocation in small-cell networks with interference. WCNC 2016: 1-6 - 2014
- [c2]Hongxin Wei, Yang Yan, Limin Xiao, Shidong Zhou:
Queue-aware energy-efficient scheduling in small-cell networks. ICC Workshops 2014: 854-859 - [c1]Hongxin Wei, Xiaofeng Zhong, Ming Zhao, Yang Yan, Shidong Zhou:
Feedback Reduction for Queue-aware Coordinated Multi-user Scheduling in Small-cell Networks. MILCOM 2014: 1562-1567
Coauthor Index
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last updated on 2024-11-08 20:32 CET by the dblp team
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