Jinghan Jia
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
10
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | BLUR: A Bi-Level Optimization Approach for LLM Unlearning. | Hadi Reisizadeh, Jinghan Jia, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Sijia Liu, Mingyi Hong |
| 2025 | ACL | SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? | Haomin Zhuang, Yihua Zhang, Kehan Guo, Jinghan Jia, Gaowen Liu, Sijia Liu, Xiangliang Zhang |
| 2025 | EMNLP | Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills. | Changsheng Wang, Chongyu Fan, Yihua Zhang, Jinghan Jia, Dennis Wei, Parikshit Ram, Nathalie Baracaldo, Sijia Liu |
| 2025 | ICML | Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond. | Chongyu Fan, Jinghan Jia, Yihua Zhang, Anil Ramakrishna, Mingyi Hong, Sijia Liu |
| 2025 | ICML | Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning. | Changsheng Wang, Yihua Zhang, Jinghan Jia, Parikshit Ram, Dennis Wei, Yuguang Yao, Soumyadeep Pal, Nathalie Baracaldo, Sijia Liu |
| 2025 | ICML | Robust Multi-bit Text Watermark with LLM-based Paraphrasers. | Xiaojun Xu, Jinghan Jia, Yuanshun Yao, Yang Liu, Hang Li |
| 2024 | ECCV | To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy to Generate Unsafe Images ... For Now. | Yimeng Zhang, Jinghan Jia, Xin Chen, Aochuan Chen, Yihua Zhang, Jiancheng Liu, Ke Ding, Sijia Liu |
| 2024 | EMNLP | SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning. | Jinghan Jia, Yihua Zhang, Yimeng Zhang, Jiancheng Liu, Bharat Runwal, James Diffenderfer, Bhavya Kailkhura, Sijia Liu |
| 2024 | ICLR | DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training. | Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Konstantinos Parasyris, Jiancheng Liu, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu |
| 2024 | NAACL | Leveraging LLMs for Dialogue Quality Measurement. | Jinghan Jia, Abi Komma, Timothy Leffel, Xujun Peng, Ajay Nagesh, Tamer Soliman, Aram Galstyan, Anoop Kumar |
| 2023 | CVPR | Text-Visual Prompting for Efficient 2D Temporal Video Grounding. | Yimeng Zhang, Xin Chen, Jinghan Jia, Sijia Liu, Ke Ding |
| 2023 | ICASSP | Robustness-Preserving Lifelong Learning Via Dataset Condensation. | Jinghan Jia, Yihua Zhang, Dogyoon Song, Sijia Liu, Alfred O. Hero III |
| 2023 | ICASSP | SMUG: Towards Robust Mri Reconstruction by Smoothed Unrolling. | Hui Li, Jinghan Jia, Shijun Liang, Yuguang Yao, Saiprasad Ravishankar, Sijia Liu |
| 2023 | ICLR | TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization. | Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang |
| 2022 | ICLR | How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective. | Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jinfeng Yi, Mingyi Hong, Shiyu Chang, Sijia Liu |
| 2021 | ACSSC | Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations. | Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akakaya |