Jiaheng Wei

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 25

Top Topics

Learning Systems

Labeling Problems

Multilabel Classification

Top Venues

Publications

Jiaheng Wei, Yuanshun Yao, Jean-Francois Ton, Hongyi Guo, Andrew Estornell, Yang Liu
Measuring and Reducing LLM Hallucination without Gold-Standard Answers via Expertise-Weighting. CoRR (2024)
Yujia Bao, Ankit Parag Shah, Neeru Narang, Jonathan Rivers, Rajeev Maksey, Lan Guan, Louise N. Barrere, Shelley Evenson, Rahul Basole, Connie Miao, Ankit Mehta, Fabien Boulay, Su Min Park, Natalie E. Pearson, Eldhose Joy, Tiger He, Sumiran Thakur, Koustav Ghosal, Josh On, Phoebe Morrison, Tim Major, Eva Siqi Wang, Gina Escobar, Jiaheng Wei, Tharindu Cyril Weerasooriya, Queena Song, Daria Lashkevich, Clare Chen, Gyuhak Kim, Dengpan Yin, Don Hejna, Mo Nomeli, Wei Wei
Harnessing Business and Media Insights with Large Language Models. CoRR (2024)
Hongyi Guo, Yuanshun Yao, Wei Shen, Jiaheng Wei, Xiaoying Zhang, Zhaoran Wang, Yang Liu
Human-Instruction-Free LLM Self-Alignment with Limited Samples. CoRR (2024)
Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang, Ming Ding, Chao Chen, Kok-Leong Ong, Jun Zhang, Yang Xiang
Memorization in deep learning: A survey. CoRR (2024)
Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang, Chao Chen, Shirui Pan, Kok-Leong Ong, Jun Zhang, Yang Xiang
Client-side Gradient Inversion Against Federated Learning from Poisoning. CoRR (2023)
Jiaheng Wei, Zhaowei Zhu, Gang Niu, Tongliang Liu, Sijia Liu, Masashi Sugiyama, Yang Liu
Fairness Improves Learning from Noisily Labeled Long-Tailed Data. CoRR (2023)
Minghao Liu, Jiaheng Wei, Yang Liu, James Davis
Do humans and machines have the same eyes? Human-machine perceptual differences on image classification. CoRR (2023)
Jiaheng Wei, Harikrishna Narasimhan, Ehsan Amid, Wen-Sheng Chu, Yang Liu, Abhishek Kumar
Distributionally Robust Post-hoc Classifiers under Prior Shifts. ICLR (2023)
Jiaheng Wei, Harikrishna Narasimhan, Ehsan Amid, Wen-Sheng Chu, Yang Liu, Abhishek Kumar
Distributionally Robust Post-hoc Classifiers under Prior Shifts. CoRR (2023)
Jiaheng Wei, Zhaowei Zhu, Tianyi Luo, Ehsan Amid, Abhishek Kumar, Yang Liu
To Aggregate or Not? Learning with Separate Noisy Labels. KDD (2023)
Yang Liu, Rixing Lou, Jiaheng Wei
Auditing for Federated Learning: A Model Elicitation Approach. DAI (2023)
Jiaheng Wei, Zhaowei Zhu, Tianyi Luo, Ehsan Amid, Abhishek Kumar, Yang Liu
To Aggregate or Not? Learning with Separate Noisy Labels. CSW@WSDM (2023)
Jiaheng Wei, Minghao Liu, Jiahao Luo, Andrew Zhu, James Davis, Yang Liu
DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training. ECCV (23) (2022)
Jiaheng Wei, Zhaowei Zhu, Tianyi Luo, Ehsan Amid, Abhishek Kumar, Yang Liu
To Aggregate or Not? Learning with Separate Noisy Labels. CoRR (2022)
Jiaheng Wei, Zhaowei Zhu, Hao Cheng, Tongliang Liu, Gang Niu, Yang Liu
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations. ICLR (2022)
Haoyu Wang, Jiaheng Wei, Zhenyuan Zhang
Consensus on Dynamic Stochastic Block Models: Fast Convergence and Phase Transitions. CoRR (2022)
Jiaheng Wei, Hangyu Liu, Tongliang Liu, Gang Niu, Masashi Sugiyama, Yang Liu
To Smooth or Not? When Label Smoothing Meets Noisy Labels. ICML (2022)
Jiaheng Wei, Zuyue Fu, Yang Liu, Xingyu Li, Zhuoran Yang, Zhaoran Wang
Sample Elicitation. AISTATS (2021)
Jiaheng Wei, Zhaowei Zhu, Hao Cheng, Tongliang Liu, Gang Niu, Yang Liu
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations. CoRR (2021)
Yang Liu, Yatong Chen, Jiaheng Wei
Induced Domain Adaptation. CoRR (2021)
Jiaheng Wei, Yang Liu
When Optimizing f-Divergence is Robust with Label Noise. ICLR (2021)
Jiaheng Wei, Hangyu Liu, Tongliang Liu, Gang Niu, Yang Liu
Understanding (Generalized) Label Smoothing when Learning with Noisy Labels. CoRR (2021)
Jiaheng Wei, Minghao Liu, Jiahao Luo, Qiutong Li, James Davis, Yang Liu
PeerGAN: Generative Adversarial Networks with a Competing Peer Discriminator. CoRR (2021)
Yang Liu, Jiaheng Wei
Incentives for Federated Learning: a Hypothesis Elicitation Approach. CoRR (2020)
Jiaheng Wei, Yang Liu
When Optimizing f-divergence is Robust with Label Noise. CoRR (2020)