Hongxin Wei

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 58

Top Topics

Weakly Supervised

Conformal Prediction

Top Venues

Publications

Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng
Consistent Multi-Class Classification from Multiple Unlabeled Datasets. ICLR (2024)
Hao Chen, Jindong Wang, Zihan Wang, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj
Learning with Noisy Foundation Models. CoRR (2024)
Huajun Xi, Jianguo Huang, Lei Feng, Hongxin Wei
Does Confidence Calibration Help Conformal Prediction? CoRR (2024)
Hongfu Gao, Feipeng Zhang, Wenyu Jiang, Jun Shu, Feng Zheng, Hongxin Wei
On the Noise Robustness of In-Context Learning for Text Generation. CoRR (2024)
Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection. ICLR (2024)
Zhenlong Liu, Lei Feng, Huiping Zhuang, Xiaofeng Cao, Hongxin Wei
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss. CoRR (2024)
Shuoyuan Wang, Jindong Wang, Guoqing Wang, Bob Zhang, Kaiyang Zhou, Hongxin Wei
Open-Vocabulary Calibration for Vision-Language Models. CoRR (2024)
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)
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 (2024)
Hongxin Wei, Jianguo Huang
TorchCP: A Library for Conformal Prediction based on PyTorch. CoRR (2024)
Wenyu Jiang, Zhenlong Liu, Zejian Xie, Songxin Zhang, Bingyi Jing, Hongxin Wei
Exploring Learning Complexity for Downstream Data Pruning. CoRR (2024)
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) (2024)
Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng
Regression with Cost-based Rejection. NeurIPS (2023)
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) (2023)
Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. NeurIPS (2023)
Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. AAAI (2023)
Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. CoRR (2023)
Shuoyuan Wang, Jindong Wang, Huajun Xi, Bob Zhang, Lei Zhang, Hongxin Wei
Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition. CoRR (2023)
Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. CoRR (2023)
Jianguo Huang, Huajun Xi, Linjun Zhang, Huaxiu Yao, Yue Qiu, Hongxin Wei
Conformal Prediction for Deep Classifier via Label Ranking. CoRR (2023)
Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng
Regression with Cost-based Rejection. CoRR (2023)
Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection. CoRR (2023)
Renchunzi Xie, Hongxin Wei, Yuzhou Cao, Lei Feng, Bo An
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. CoRR (2023)
Renchunzi Xie, Hongxin Wei, Lei Feng, Yuzhou Cao, Bo An
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. NeurIPS (2023)
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 (2023)
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) (2023)
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)
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) (2023)
Shiyu Tian, Hongxin Wei, Yiqun Wang, Lei Feng
CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning. CoRR (2023)
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)
Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation. AAAI (2022)
Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. CoRR (2022)
Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
Can Adversarial Training Be Manipulated By Non-Robust Features? CoRR (2022)
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)
Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
Can Adversarial Training Be Manipulated By Non-Robust Features? NeurIPS (2022)
Hongxin Wei, Lin Zheng, Chao Yang, Ningyan Wei, Zhenghong Liu
α-MF Detection Based on Spatial Correlation of Sea Clutter. ICCT (2022)
Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li
Logit Clipping for Robust Learning against Label Noise. CoRR (2022)
Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li
Mitigating Neural Network Overconfidence with Logit Normalization. ICML (2022)
Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation. CoRR (2022)
Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li
Mitigating Neural Network Overconfidence with Logit Normalization. CoRR (2022)
Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management. AAAI (2021)
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)
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)
Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise. CoRR (2021)
Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise. NeurIPS (2021)
Ziqi Zhang, Yuexiang Li, Hongxin Wei, Kai Ma, Tao Xu, Yefeng Zheng
Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix. CoRR (2021)
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) (2021)
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) (2020)
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 (2020)
Hongxin Wei, Lei Feng, Rundong Wang, Bo An
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting. CoRR (2020)
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 (2020)
Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management. CoRR (2020)
Hongxin Wei, Lei Feng, Xiangyu Chen, Bo An
Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization. CVPR (2020)
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 (2020)
Hongxin Wei, Lei Feng, Xiangyu Chen, Bo An
Combating noisy labels by agreement: A joint training method with co-regularization. CoRR (2020)
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) (2020)
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) (2018)
Hongxin Wei, Limin Xiao, Yunzhou Li, Shidong Zhou
Queue-aware energy-efficient scheduling and power allocation in small-cell networks with interference. WCNC (2016)
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)
Hongxin Wei, Yang Yan, Limin Xiao, Shidong Zhou
Queue-aware energy-efficient scheduling in small-cell networks. ICC Workshops (2014)