Jiaheng Wei
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
7
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Robust Learning from Noisily Labeled Long-Tailed Data via Fairness Regularizer. | Jiaheng Wei, Zhaowei Zhu, Gang Niu, Tongliang Liu, Sijia Liu, Masashi Sugiyama, Yang Liu |
| 2026 | AAAI | VP-Bench: A Comprehensive Benchmark for Visual Prompting in Multimodal Large Language Models. | Mingjie Xu, Jinpeng Chen, Yuzhi Zhao, Jason Chun Lok Li, Yue Qiu, Zekang Du, Mengyang Wu, Pingping Zhang, Kun Li, Hongzheng Yang, Wenao Ma, Jiaheng Wei, Qinbin Li, Kangcheng Liu, Wenqiang Lei |
| 2026 | ACL | IDEA: An Interpretable and Editable Decision-Making Framework for LLMs via Verbal-to-Numeric Calibration. | Yanji He, Yuxin Jiang, Yiwen Wu, Bo Huang, Jiaheng Wei, Wei Wang |
| 2026 | ACL | Evian: Towards Explainable Visual Instruction-tuning Data Auditing. | Zimu Jia, Mingjie Xu, Andrew Estornell, Jiaheng Wei |
| 2026 | ACL | VIDA: A Visual Intent-driven Design Assistant for Proactive Multimodal Clarification. | Yanshan Liu, Hongbo Zhang, Zhen Sun, Jiaheng Wei, Kaishun Wu |
| 2026 | ACL | OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models. | Hao Zheng, Zirui Pang, Ling Li, Zhijie Deng, Yuhan Pu, Zhaowei Zhu, Xiaobo Xia, Jiaheng Wei |
| 2025 | AAAI | Human and AI Perceptual Differences in Image Classification Errors. | Minghao Liu, Jiaheng Wei, Yang Liu, James Davis |
| 2025 | ICLR | Improving Data Efficiency via Curating LLM-Driven Rating Systems. | Jinlong Pang, Jiaheng Wei, Ankit Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei |
| 2025 | ICLR | LLM Unlearning via Loss Adjustment with Only Forget Data. | Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Shah, Yujia Bao, Yang Liu, Wei Wei |
| 2025 | ICML | Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning. | Jinlong Pang, Na Di, Zhaowei Zhu, Jiaheng Wei, Hao Cheng, Chen Qian, Yang Liu |
| 2025 | KDD | On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing. | Yule Liu, Zhiyuan Zhong, Yifan Liao, Zhen Sun, Jingyi Zheng, Jiaheng Wei, Qingyuan Gong, Fenghua Tong, Yang Chen, Yang Zhang, Xinlei He |
| 2023 | ICLR | Distributionally Robust Post-hoc Classifiers under Prior Shifts. | Jiaheng Wei, Harikrishna Narasimhan, Ehsan Amid, Wen-Sheng Chu, Yang Liu, Abhishek Kumar |
| 2023 | KDD | To Aggregate or Not? Learning with Separate Noisy Labels. | Jiaheng Wei, Zhaowei Zhu, Tianyi Luo, Ehsan Amid, Abhishek Kumar, Yang Liu |
| 2022 | ECCV | DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training. | Jiaheng Wei, Minghao Liu, Jiahao Luo, Andrew Zhu, James Davis, Yang Liu |
| 2022 | ICLR | Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations. | Jiaheng Wei, Zhaowei Zhu, Hao Cheng, Tongliang Liu, Gang Niu, Yang Liu |
| 2022 | ICML | To Smooth or Not? When Label Smoothing Meets Noisy Labels. | Jiaheng Wei, Hangyu Liu, Tongliang Liu, Gang Niu, Masashi Sugiyama, Yang Liu |
| 2021 | AISTATS | Sample Elicitation. | Jiaheng Wei, Zuyue Fu, Yang Liu, Xingyu Li, Zhuoran Yang, Zhaoran Wang |
| 2021 | ICLR | When Optimizing f-Divergence is Robust with Label Noise. | Jiaheng Wei, Yang Liu |