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)

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 002; Xingzhi Sun 002; Guotong Xie; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP, 2023)

GNNDelete: A General Strategy for Unlearning in Graph Neural Networks. - Jiali Cheng; George Dasoulas; Huan He; Chirag Agarwal; Marinka Zitnik (ICLR, 2023)

Lesion Search with Self-supervised Learning. - Kristin Qi; Jiali Cheng; Daniel Haehn (Tiny Papers @ ICLR, 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 007; Huadong Wang; Yujia Qin; Xiaozhi Wang; Zhiyuan Liu 001; Dan Zhang 014 (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 002; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2023)

Multimodal Machine Unlearning. - Jiali Cheng; Hadi Amiri (CoRR, 2023)

MedDec: A Dataset for Extracting Medical Decisions from Discharge Summaries. - Mohamed Elgaar; Jiali Cheng; Nidhi Vakil; Hadi Amiri; Leo Anthony Celi (ACL (Findings), 2024)

MultiDelete for Multimodal Machine Unlearning. - Jiali Cheng; Hadi Amiri (ECCV (41), 2024)

FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding. - Jiali Cheng; Hadi Amiri (EMNLP, 2024)

LASSO-BN for Selection and Optimization of Product Critical Quality Features. - Jiali Cheng; Zhiqiang Cai 003; Chen Shen; Ting Wang (IEEM, 2024)

CogniVoice: Multimodal and Multilingual Fusion Networks for Mild Cognitive Impairment Assessment from Spontaneous Speech. - Jiali Cheng; Mohamed Elgaar; Nidhi Vakil; Hadi Amiri (INTERSPEECH, 2024)

MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning. - Jiali Cheng; Hadi Amiri (CoRR, 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 003 (Qual. Reliab. Eng. Int., 2024)

EqualizeIR: Mitigating Linguistic Biases in Retrieval Models. - Jiali Cheng; Hadi Amiri (NAACL (Short Papers), 2025)

Tool Unlearning for Tool-Augmented LLMs. - Jiali Cheng; Hadi Amiri (CoRR, 2025)

FairFlow: Mitigating Dataset Biases through Undecided Learning. - Jiali Cheng; Hadi Amiri (CoRR, 2025)

FROG: Fair Removal on Graphs. - Ziheng Chen; Jiali Cheng; Gabriele Tolomei; Sijia Liu; Hadi Amiri; Yu Wang; Kaushiki Nag; Lu Lin (CoRR, 2025)

Linguistic Blind Spots of Large Language Models. - Jiali Cheng; Hadi Amiri (CoRR, 2025)

Understanding Machine Unlearning Through the Lens of Mode Connectivity. - Jiali Cheng; Hadi Amiri (CoRR, 2025)

Unveil Multi-Picture Descriptions for Multilingual Mild Cognitive Impairment Detection via Contrastive Learning. - Kristin Qi; Jiali Cheng; Youxiang Zhu; Hadi Amiri; Xiaohui Liang 002 (CoRR, 2025)

Speech Unlearning. - Jiali Cheng; Hadi Amiri (CoRR, 2025)