PPaperPicks

Sijia Liu

Michigan State University, Department of Computer Science and Engineering, East Lansing, USA

35 papers at tracked venues · 26 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-2817-6991 ↗Google Scholar ↗Homepage ↗

Venues

NeurIPS ×9ICLR ×4ICML ×4ACL ×3CVPR ×3AAAI ×2ECCV ×2EMNLP ×2NAACL ×2CIKM ×1EACL ×1ICCV ×1WACV ×1

Frequent coauthors

Yihua Zhang
×20
Jinghan Jia
×14
Jiancheng Liu
×10
Chongyu Fan
×8
Yimeng Zhang
×7
Gaowen Liu
×6
Yuguang Yao
×5
Mingyi Hong
×4
Tianlong Chen
×4
Pin-Yu Chen
×4
Xiaoming Liu
×3
Changsheng Wang
×3

Papers

  1. BLUR: A Bi-Level Optimization Approach for LLM Unlearning
    EACL 2026 ·
    Hadi Reisizadeh
    ,
    Jinghan Jia
    ,
    Zhiqi Bu
    ,
    Bhanukiran Vinzamuri
    ,
    Anil Ramakrishna
    ,
    Kai-Wei Chang
    ,
    Volkan Cevher
    , Sijia Liu,
    Mingyi Hong
  2. ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation
    ACL 2026 ·
    Yihua Zhang
    ,
    Mingfu Liang
    ,
    Jiyan Yang
    ,
    Rong Jin
    ,
    Wen-Yen Chen
    ,
    Yiping Han
    ,
    Huayu Li
    ,
    Buyun Zhang
    ,
    Liang Luo
    ,
    Luke Simon
    , Sijia Liu,
    Tianlong Chen
    ,
    Xi Liu
  3. Robust Learning from Noisily Labeled Long-Tailed Data via Fairness Regularizer
    AAAI 2026 ·
    Jiaheng Wei
    ,
    Zhaowei Zhu
    ,
    Gang Niu
    ,
    Tongliang Liu
    , Sijia Liu,
    Masashi Sugiyama
    ,
    Yang Liu
  4. Unlearners Can Lie: Evaluating and Improving Honesty in LLM Unlearning
    ACL 2026 ·
    Renjie Gu
    ,
    Jiazhen Du
    ,
    Yihua Zhang
    , Sijia Liu
  5. Can Adversarial Examples be Parsed to Reveal Victim Model Information?
    WACV 2025 ·
    Yuguang Yao
    ,
    Jiancheng Liu
    ,
    Yifan Gong
    ,
    Xiaoming Liu
    ,
    Yanzhi Wang
    ,
    Xue Lin
    , Sijia Liu
  6. Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing
    CVPR 2025 ·
    Hanhui Wang
    ,
    Yihua Zhang
    ,
    Ruizheng Bai
    ,
    Yue Zhao
    , Sijia Liu,
    Zhengzhong Tu
  7. FROG: Fair Removal on Graph
    CIKM 2025 ·
    Ziheng Chen
    ,
    Jiali Cheng
    ,
    Hadi Amiri
    ,
    Kaushiki Nag
    ,
    Lu Lin
    , Sijia Liu,
    Gabriele Tolomei
    ,
    Xiangguo Sun
  8. ID-Patch: Robust ID Association for Group Photo Personalization
    CVPR 2025 ·
    Yimeng Zhang
    ,
    Tiancheng Zhi
    ,
    Jing Liu
    ,
    Shen Sang
    ,
    Liming Jiang
    ,
    Qing Yan
    , Sijia Liu,
    Linjie Luo
  9. Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning
    ICML 2025 ·
    Changsheng Wang
    ,
    Yihua Zhang
    ,
    Jinghan Jia
    ,
    Parikshit Ram
    ,
    Dennis Wei
    ,
    Yuguang Yao
    ,
    Soumyadeep Pal
    ,
    Nathalie Baracaldo
    , Sijia Liu
  10. Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design
    ICCV 2025 ·
    Yuhao Sun
    ,
    Yihua Zhang
    ,
    Gaowen Liu
    ,
    Hongtao Xie
    , Sijia Liu
  11. One Token Embedding Is Enough to Deadlock Your Large Reasoning Model
    NeurIPS 2025 ·
    Mohan Zhang
    ,
    Yihua Zhang
    ,
    Jinghan Jia
    ,
    Zhangyang (Atlas) Wang
    , Sijia Liu,
    Tianlong Chen
  12. PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection
    CVPR 2025 ·
    Wei Li
    ,
    Pin-Yu Chen
    , Sijia Liu,
    Ren Wang
  13. Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills
    EMNLP 2025 ·
    Changsheng Wang
    ,
    Chongyu Fan
    ,
    Yihua Zhang
    ,
    Jinghan Jia
    ,
    Dennis Wei
    ,
    Parikshit Ram
    ,
    Nathalie Baracaldo
    , Sijia Liu
  14. SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs?
    ACL 2025 ·
    Haomin Zhuang
    ,
    Yihua Zhang
    ,
    Kehan Guo
    ,
    Jinghan Jia
    ,
    Gaowen Liu
    , Sijia Liu,
    Xiangliang Zhang
  15. Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
    NeurIPS 2025 ·
    Chongyu Fan
    ,
    Jiancheng Liu
    ,
    Licong Lin
    ,
    Jinghan Jia
    ,
    Ruiqi Zhang
    ,
    Song Mei
    , Sijia Liu
  16. The Fragile Truth of Saliency: Improving LLM Input Attribution via Attention Bias Optimization
    NeurIPS 2025 ·
    Yihua Zhang
    ,
    Changsheng Wang
    ,
    Yiwei Chen
    ,
    Chongyu Fan
    ,
    Jinghan Jia
    , Sijia Liu
  17. Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond
    ICML 2025 ·
    Chongyu Fan
    ,
    Jinghan Jia
    ,
    Yihua Zhang
    ,
    Anil Ramakrishna
    ,
    Mingyi Hong
    , Sijia Liu
  18. Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
    AAAI 2025 ·
    Can Jin
    ,
    Tianjin Huang
    ,
    Yihua Zhang
    ,
    Mykola Pechenizkiy
    , Sijia Liu,
    Shiwei Liu
    ,
    Tianlong Chen
  19. When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
    ICLR 2025 ·
    Hongkang Li
    ,
    Yihua Zhang
    ,
    Shuai Zhang
    ,
    Pin-Yu Chen
    , Sijia Liu,
    Meng Wang
  20. Advancing the Robustness of Large Language Models through Self-Denoised Smoothing
    NAACL 2024 ·
    Jiabao Ji
    ,
    Bairu Hou
    ,
    Zhen Zhang
    ,
    Guanhua Zhang
    ,
    Wenqi Fan
    ,
    Qing Li
    ,
    Yang Zhang
    ,
    Gaowen Liu
    , Sijia Liu,
    Shiyu Chang
  21. Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency
    ICLR 2024 ·
    Soumyadeep Pal
    ,
    Yuguang Yao
    ,
    Ren Wang
    ,
    Bingquan Shen
    , Sijia Liu
  22. Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning
    ECCV 2024 ·
    Chongyu Fan
    ,
    Jiancheng Liu
    ,
    Alfred Olivier Hero
    , Sijia Liu
  23. DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training
    ICLR 2024 ·
    Aochuan Chen
    ,
    Yimeng Zhang
    ,
    Jinghan Jia
    ,
    James Diffenderfer
    ,
    Konstantinos Parasyris
    ,
    Jiancheng Liu
    ,
    Yihua Zhang
    ,
    Zheng Zhang
    ,
    Bhavya Kailkhura
    , Sijia Liu
  24. Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
    NeurIPS 2024 ·
    Yimeng Zhang
    ,
    Xin Chen
    ,
    Jinghan Jia
    ,
    Yihua Zhang
    ,
    Chongyu Fan
    ,
    Jiancheng Liu
    ,
    Mingyi Hong
    ,
    Ke Ding
    , Sijia Liu
  25. From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models
    NeurIPS 2024 ·
    Zhuoshi Pan
    ,
    Yuguang Yao
    ,
    Gaowen Liu
    ,
    Bingquan Shen
    ,
    H. Vicky Zhao
    ,
    Ramana Kompella
    , Sijia Liu
  26. More Samples or More Prompts? Exploring Effective Few-Shot In-Context Learning for LLMs with In-Context Sampling
    NAACL 2024 ·
    Bingsheng Yao
    ,
    Guiming Chen
    ,
    Ruishi Zou
    ,
    Yuxuan Lu
    ,
    Jiachen Li
    ,
    Shao Zhang
    ,
    Yisi Sang
    , Sijia Liu,
    James A. Hendler
    ,
    Dakuo Wang
  27. Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
    NeurIPS 2024 ·
    Jiabao Ji
    ,
    Yujian Liu
    ,
    Yang Zhang
    ,
    Gaowen Liu
    ,
    Ramana Kompella
    , Sijia Liu,
    Shiyu Chang
  28. Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
    ICML 2024 ·
    Yihua Zhang
    ,
    Pingzhi Li
    ,
    Junyuan Hong
    ,
    Jiaxiang Li
    ,
    Yimeng Zhang
    ,
    Wenqing Zheng
    ,
    Pin-Yu Chen
    ,
    Jason D. Lee
    ,
    Wotao Yin
    ,
    Mingyi Hong
    ,
    Zhangyang Wang
    , Sijia Liu,
    Tianlong Chen
  29. SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning
    EMNLP 2024 ·
    Jinghan Jia
    ,
    Yihua Zhang
    ,
    Yimeng Zhang
    ,
    Jiancheng Liu
    ,
    Bharat Runwal
    ,
    James Diffenderfer
    ,
    Bhavya Kailkhura
    , Sijia Liu
  30. SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
    ICLR 2024 ·
    Chongyu Fan
    ,
    Jiancheng Liu
    ,
    Yihua Zhang
    ,
    Eric Wong
    ,
    Dennis Wei
    , Sijia Liu
  31. To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy to Generate Unsafe Images ... For Now
    ECCV 2024 ·
    Yimeng Zhang
    ,
    Jinghan Jia
    ,
    Xin Chen
    ,
    Aochuan Chen
    ,
    Yihua Zhang
    ,
    Jiancheng Liu
    ,
    Ke Ding
    , Sijia Liu
  32. Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network
    NeurIPS 2024 ·
    Xiao Guo
    ,
    Vishal Asnani
    , Sijia Liu,
    Xiaoming Liu
  33. UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models
    NeurIPS 2024 ·
    Yihua Zhang
    ,
    Chongyu Fan
    ,
    Yimeng Zhang
    ,
    Yuguang Yao
    ,
    Jinghan Jia
    ,
    Jiancheng Liu
    ,
    Gaoyuan Zhang
    ,
    Gaowen Liu
    ,
    Ramana Kompella
    ,
    Xiaoming Liu
    , Sijia Liu
  34. WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
    NeurIPS 2024 ·
    Jinghan Jia
    ,
    Jiancheng Liu
    ,
    Yihua Zhang
    ,
    Parikshit Ram
    ,
    Nathalie Baracaldo
    , Sijia Liu
  35. What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
    ICML 2024 ·
    Hongkang Li
    ,
    Meng Wang
    ,
    Tengfei Ma
    , Sijia Liu,
    Zaixi Zhang
    ,
    Pin-Yu Chen