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Sijia Liu

Identifiers

  • name variant Sijia Liu 0.60 · backfill

Papers (44)

  1. Rethinking Muon Beyond Pretraining: Spectral Failures and High-Pass Remedies for VLA and RLVR cs.LG · 2026 · author #5
  2. Position: Zeroth-Order Optimization in Deep Learning Is Underexplored, Not Underpowered cs.LG · 2026 · author #1
  3. Unlearners Can Lie: Evaluating and Improving Honesty in LLM Unlearning cs.LG · 2026 · author #4
  4. ClayScape: A GenAI-Supported Workflow for Designing Chinese Style Ceramics with Clay 3D Printing cs.HC · 2026 · author #1
  5. PrivUn: Unveiling Latent Ripple Effects and Shallow Forgetting in Privacy Unlearning cs.LG · 2026 · author #4
  6. Harmonizing Multi-Objective LLM Unlearning via Unified Domain Representation and Bidirectional Logit Distillation cs.LG · 2026 · author #2
  7. Visual prompting reimagined: The power of the Activation Prompts cs.CV · 2026 · author #8
  8. Subspace Control: Turning Constrained Model Steering into Controllable Spectral Optimization cs.LG · 2026 · author #10
  9. Leak@$k$: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding cs.LG · 2025 · author #5
  10. Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning cs.LG · 2025 · author #6
  11. Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs cs.LG · 2025 · author #5
  12. Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated by Machine Unlearning cs.AI · 2025 · author #6
  13. Tackling Fake Forgetting through Uncertainty Quantification cs.LG · 2025 · author #2
  14. SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation cs.LG · 2023 · author #6
  15. Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM cs.NE · 2019 · author #9
  16. CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks stat.ML · 2018 · author #4
  17. A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM cs.NE · 2018 · author #7
  18. Progressive Weight Pruning of Deep Neural Networks using ADMM cs.LG · 2018 · author #10
  19. Is Ordered Weighted $\ell_1$ Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR stat.ML · 2018 · author #3
  20. On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization cs.LG · 2018 · author #2
  21. Structured Adversarial Attack: Towards General Implementation and Better Interpretability cs.LG · 2018 · author #2
  22. Latent heterogeneous multilayer community detection cs.SI · 2018 · author #2
  23. Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications stat.ML · 2018 · author #3
  24. Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization cs.LG · 2018 · author #1
  25. A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction cs.IR · 2018 · author #3
  26. An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks cs.LG · 2018 · author #2
  27. Optimal Sensor Collaboration for Parameter Tracking Using Energy Harvesting Sensors eess.SP · 2018 · author #2
  28. First-order bifurcation detection for dynamic complex networks eess.SP · 2018 · author #1
  29. Algorithm-Hardware Co-Optimization of the Memristor-Based Framework for Solving SOCP and Homogeneous QCQP Problems cs.ET · 2018 · author #2
  30. A Comparison of Word Embeddings for the Biomedical Natural Language Processing cs.IR · 2018 · author #2
  31. A New Data-Driven Sparse-Learning Approach to Study Chemical Reaction Networks math.OC · 2017 · author #4
  32. A Data-Driven Sparse-Learning Approach to Model Reduction in Chemical Reaction Networks math.OC · 2017 · author #3
  33. Semiblind subgraph reconstruction in Gaussian graphical models cs.LG · 2017 · author #2
  34. Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications stat.ML · 2017 · author #1
  35. A Memristor-Based Optimization Framework for AI Applications cs.ET · 2017 · author #1
  36. Bias-Variance Tradeoff of Graph Laplacian Regularizer stat.ML · 2017 · author #2
  37. Accelerated Distributed Dual Averaging over Evolving Networks of Growing Connectivity stat.ML · 2017 · author #1
  38. Learning Sparse Graphs Under Smoothness Prior cs.LG · 2016 · author #2
  39. Optimized Sensor Collaboration for Estimation of Temporally Correlated Parameters cs.IT · 2016 · author #1
  40. Sensor Selection for Estimation with Correlated Measurement Noise stat.AP · 2015 · author #1
  41. Measurement Matrix Design for Compressive Detection with Secrecy Guarantees cs.IT · 2015 · author #2
  42. Sparsity-Aware Sensor Collaboration for Linear Coherent Estimation stat.ME · 2014 · author #1
  43. Optimal Periodic Sensor Scheduling in Networks of Dynamical Systems stat.AP · 2013 · author #1
  44. Adaptive Non-myopic Quantizer Design for Target Tracking in Wireless Sensor Networks stat.AP · 2013 · author #1

Mentions

  • 1712.06281 #4 · arxiv_oai · confidence 0.70 Sijia Liu
  • 1508.03690 #1 · backfill · confidence 0.70 Sijia Liu
  • 1305.5601 #1 · arxiv_oai · confidence 0.70 Sijia Liu
  • 1506.00238 #2 · backfill · confidence 0.70 Sijia Liu
  • 2506.14003 #5 · arxiv_oai · confidence 0.70 Sijia Liu
  • 2503.11832 #6 · arxiv_oai · confidence 0.70 Sijia Liu
  • 1408.6566 #1 · backfill · confidence 0.70 Sijia Liu
  • 2511.04934 #5 · arxiv_oai · confidence 0.70 Sijia Liu
  • 1305.5601 #1 · backfill · confidence 0.70 Sijia Liu
  • 1303.2060 #1 · backfill · confidence 0.70 Sijia Liu
  • 2605.19282 #5 · arxiv_oai · confidence 0.70 Sijia Liu
  • 2605.15622 #1 · arxiv_oai · confidence 0.70 Sijia Liu
  • 2310.12508 #6 · arxiv_oai · confidence 0.70 Sijia Liu

Frequent Coauthors