Jiali Cheng

According to our database, Jiali Cheng authored at least 22 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Speech Unlearning.

Jiali Cheng, Hadi Amiri

CoRR, June, 2025

Unveil Multi-Picture Descriptions for Multilingual Mild Cognitive Impairment Detection via Contrastive Learning.

Kristin Qi, Jiali Cheng, Youxiang Zhu, Hadi Amiri, Xiaohui Liang

CoRR, May, 2025

Understanding Machine Unlearning Through the Lens of Mode Connectivity.

Jiali Cheng, Hadi Amiri

CoRR, April, 2025

Linguistic Blind Spots of Large Language Models.

Jiali Cheng, Hadi Amiri

CoRR, March, 2025

FROG: Fair Removal on Graphs.

Ziheng Chen, Jiali Cheng, Gabriele Tolomei, Sijia Liu, Hadi Amiri, Yu Wang, Kaushiki Nag, Lu Lin

CoRR, March, 2025

FairFlow: Mitigating Dataset Biases through Undecided Learning.

Jiali Cheng, Hadi Amiri

CoRR, March, 2025

Tool Unlearning for Tool-Augmented LLMs.

Jiali Cheng, Hadi Amiri

CoRR, February, 2025

EqualizeIR: Mitigating Linguistic Biases in Retrieval Models.

Jiali Cheng, Hadi Amiri

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

A hybrid feature selection model for identifying groups of critical elements in aero-engine assembly.

Jiali Cheng, Zongchun Hu, Wenhao Lu, Keqin Wang, Zhiqiang Cai

Qual. Reliab. Eng. Int., July, 2024

MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning.

Jiali Cheng, Hadi Amiri

CoRR, 2024

CogniVoice: Multimodal and Multilingual Fusion Networks for Mild Cognitive Impairment Assessment from Spontaneous Speech.

Jiali Cheng, Mohamed Elgaar, Nidhi Vakil, Hadi Amiri

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

LASSO-BN for Selection and Optimization of Product Critical Quality Features.

Jiali Cheng, Zhiqiang Cai, Chen Shen, Ting Wang

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2024

FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding.

Jiali Cheng, Hadi Amiri

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MultiDelete for Multimodal Machine Unlearning.

Jiali Cheng, Hadi Amiri

Proceedings of the Computer Vision - ECCV 2024, 2024

MedDec: A Dataset for Extracting Medical Decisions from Discharge Summaries.

Mohamed Elgaar, Jiali Cheng, Nidhi Vakil, Hadi Amiri, Leo Anthony Celi

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Multimodal Machine Unlearning.

Jiali Cheng, Hadi Amiri

CoRR, 2023

Arbitrary Few Parameters are Good Enough for Adapting Large-scale Pre-trained Language Models.

Yusheng Su, Chi-Min Chan, Jiali Cheng, Yujia Qin, Yankai Lin, Shengding Hu, Zonghan Yang, Ning Ding, Zhiyuan Liu, Maosong Sun

CoRR, 2023

Human Emotion Knowledge Representation Emerges in Large Language Model and Supports Discrete Emotion Inference.

Ming Li, Yusheng Su, Hsiu-Yuan Huang, Jiali Cheng, Xin Hu, Xinmiao Zhang, Huadong Wang, Yujia Qin, Xiaozhi Wang, Zhiyuan Liu, Dan Zhang

CoRR, 2023

Lesion Search with Self-supervised Learning.

Kristin Qi, Jiali Cheng, Daniel Haehn

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

GNNDelete: A General Strategy for Unlearning in Graph Neural Networks.

Jiali Cheng, George Dasoulas, Huan He, Chirag Agarwal, Marinka Zitnik

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Exploring the Impact of Model Scaling on Parameter-Efficient Tuning.

Yusheng Su, Chi-Min Chan, Jiali Cheng, Yujia Qin, Yankai Lin, Shengding Hu, Zonghan Yang, Ning Ding, Xingzhi Sun, Guotong Xie, Zhiyuan Liu, Maosong Sun

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

Jupiter: a modern federated learning platform for regional medical care.

Ju Xing, Jiadong Tian, Zexun Jiang, Jiali Cheng, Hao Yin

Sci. China Inf. Sci., 2021