Haoze Wu
Identifiers
- name variant Haoze Wu 0.60 · backfill
Papers (35)
- Viverra: Text-to-Code with Guarantees cs.SE · 2026 · author #1
- The Luna Bound Propagator for Formal Analysis of Neural Networks cs.LG · 2026 · author #2
- Not All Invariants Are Equal: Curating Training Data to Accelerate Program Verification with SLMs cs.LG · 2026 · author #3
- SpotIt+: Verification-based Text-to-SQL Evaluation with Database Constraints cs.DB · 2026 · author #6
- Scalable Synthesis and Verification of String Stable Neural Certificates for Interconnected Systems eess.SY · 2025 · author #2
- Mirage or Method? How Model-Task Alignment Induces Divergent RL Conclusions cs.LG · 2025 · author #1
- Abstraction-Based Proof Production in Formal Verification of Neural Networks cs.LO · 2025 · author #5
- Cubing for Tuning cs.LO · 2025 · author #1
- Neural Network Verification is a Programming Language Challenge cs.PL · 2025 · author #11
- The Fifth International Verification of Neural Networks Competition (VNN-COMP 2024): Summary and Results cs.LG · 2024 · author #4
- USM: Unbiased Survey Modeling for Limiting Negative User Experiences in Recommendation Systems cs.IR · 2024 · author #3
- Safe and Reliable Training of Learning-Based Aerospace Controllers cs.AI · 2024 · author #3
- GW-MoE: Resolving Uncertainty in MoE Router with Global Workspace Theory cs.LG · 2024 · author #1
- Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates cs.AI · 2024 · author #3
- Marabou 2.0: A Versatile Formal Analyzer of Neural Networks cs.AI · 2024 · author #1
- Towards Efficient Verification of Quantized Neural Networks cs.LG · 2023 · author #2
- Lemur: Integrating Large Language Models in Automated Program Verification cs.FL · 2023 · author #1
- Lightweight Online Learning for Sets of Related Problems in Automated Reasoning cs.AI · 2023 · author #1
- Soy: An Efficient MILP Solver for Piecewise-Affine Systems cs.RO · 2023 · author #1
- Convex Bounds on the Softmax Function with Applications to Robustness Verification cs.LG · 2023 · author #2
- VeriX: Towards Verified Explainability of Deep Neural Networks cs.LG · 2022 · author #2
- Proof-Stitch: Proof Combination for Divide and Conquer SAT Solvers cs.LO · 2022 · author #3
- On Optimizing Back-Substitution Methods for Neural Network Verification cs.LG · 2022 · author #2
- Toward Certified Robustness Against Real-World Distribution Shifts cs.LG · 2022 · author #1
- Efficient Neural Network Analysis with Sum-of-Infeasibilities cs.LG · 2022 · author #1
- Scalable Verification of GNN-based Job Schedulers cs.AI · 2022 · author #1
- DeepCert: Verification of Contextually Relevant Robustness for Neural Network Image Classifiers cs.LG · 2021 · author #2
- An SMT-Based Approach for Verifying Binarized Neural Networks cs.LG · 2020 · author #2
- Global Optimization of Objective Functions Represented by ReLU Networks cs.LG · 2020 · author #2
- Parallelization Techniques for Verifying Neural Networks cs.LO · 2020 · author #1
- G2SAT: Learning to Generate SAT Formulas cs.LG · 2019 · author #2
- An Introduction to the Discharging Method math.HO · 2017 · author #1
- Two Error Bounds of Imperfect Binary Search cs.DS · 2017 · author #1
- Improve SAT-solving with Machine Learning cs.AI · 2017 · author #1
- Gene Ontology (GO) Prediction using Machine Learning Methods cs.LG · 2017 · author #1
Mentions
- 2509.10118 #2 · arxiv_oai · confidence 0.70 Haoze Wu
- 2508.21188 #1 · arxiv_oai · confidence 0.70 Haoze Wu
- 2506.09455 #5 · arxiv_oai · confidence 0.70 Haoze Wu
- 2504.19039 #1 · arxiv_oai · confidence 0.70 Haoze Wu
- 2412.10674 #3 · arxiv_oai · confidence 0.70 Haoze Wu
- 2501.05867 #11 · arxiv_oai · confidence 0.70 Haoze Wu
- 2412.19985 #4 · arxiv_oai · confidence 0.70 Haoze Wu
- 2405.14058 #3 · arxiv_oai · confidence 0.70 Haoze Wu
- 2407.07088 #3 · arxiv_oai · confidence 0.70 Haoze Wu
- 2406.12375 #1 · arxiv_oai · confidence 0.70 Haoze Wu
- 2401.14461 #1 · arxiv_oai · confidence 0.70 Haoze Wu
- 2310.04870 #1 · arxiv_oai · confidence 0.70 Haoze Wu
- 2312.12679 #2 · arxiv_oai · confidence 0.70 Haoze Wu
- 2212.01051 #2 · arxiv_oai · confidence 0.70 Haoze Wu
- 2305.11087 #1 · arxiv_oai · confidence 0.70 Haoze Wu
- 2303.13697 #1 · arxiv_oai · confidence 0.70 Haoze Wu
- 2206.03669 #1 · arxiv_oai · confidence 0.70 Haoze Wu
- 2303.01713 #2 · arxiv_oai · confidence 0.70 Haoze Wu
- 2203.03153 #1 · arxiv_oai · confidence 0.70 Haoze Wu
- 2209.05201 #3 · arxiv_oai · confidence 0.70 Haoze Wu
- 2208.07669 #2 · arxiv_oai · confidence 0.70 Haoze Wu
- 2203.11201 #1 · arxiv_oai · confidence 0.70 Haoze Wu
- 2010.03258 #2 · arxiv_oai · confidence 0.70 Haoze Wu
- 2103.01629 #2 · arxiv_oai · confidence 0.70 Haoze Wu
- 2011.02948 #2 · arxiv_oai · confidence 0.70 Haoze Wu
- 2004.08440 #1 · arxiv_oai · confidence 0.70 Haoze Wu
- 1711.03004 #1 · arxiv_oai · confidence 0.70 Haoze Wu
- 1910.13445 #2 · arxiv_oai · confidence 0.70 Haoze Wu
- 1711.00001 #1 · arxiv_oai · confidence 0.70 Haoze Wu
- 1711.01334 #1 · arxiv_oai · confidence 0.70 Haoze Wu
- 1710.11204 #1 · arxiv_oai · confidence 0.70 Haoze Wu
- 2603.15510 #3 · arxiv_oai · confidence 0.70 Haoze Wu
Frequent Coauthors
- Clark Barrett 20 shared papers
- Guy Katz 11 shared papers
- Nina Narodytska 6 shared papers
- Min Wu 5 shared papers
- Aleksandar Zelji\'c 4 shared papers
- Guy Amir 4 shared papers
- Ieva Daukantas 3 shared papers
- Omri Isac 3 shared papers
- Alex Ozdemir 2 shared papers
- Baoluo Meng 2 shared papers
- Corina Pasareanu 2 shared papers
- Ekaterina Komendantskaya 2 shared papers
- Fletcher Lee Newell 2 shared papers
- Kyle Julian 2 shared papers
- Michael Durling 2 shared papers
- Milan Ganai 2 shared papers
- Pei Huang 2 shared papers
- Raghuram Ramanujan 2 shared papers
- Rocky Klopfenstein 2 shared papers
- Taylor T. Johnson 2 shared papers