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• Hong-Ming Chiu, Hao Chen, Huan Zhang and Richard Y. Zhang. “SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming.” ICML 2025. [ Paper ] [ Code ]
• Hong-Ming Chiu and Richard Y. Zhang. “Well-conditioned Primal-Dual Interior-point Method for Accurate Low-rank Semidefinite Programming.” Preprint. [ Paper ]
• Gavin Zhang, Hong-Ming Chiu and Richard Y. Zhang. “Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent.” AISTATS 2024. [ Paper ]
• Hong-Ming Chiu and Richard Y. Zhang. “Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations.” ICML 2023. [ Paper ] [ Code ]
• Gavin Zhang, Hong-Ming Chiu and Richard Y. Zhang. “Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion.” NeurIPS 2022. [ Paper ] [ Code ]
• Hong-Ming Chiu, Carrson C. Fung and Antonio Ortega. “Graph Learning and Augmentation Based Interpolation of Signal Strength for Location-Aware Communications.” EUSIPCO 2020. [ Paper ] [ Code ]
• Hong-Ming Chiu, Kuan-Chih Lin and Tian-Sheuan Chang. “Run Time Adaptive Network Slimming for Mobile Environments.” ISCAS 2019. [ Paper ] [ Code ]

• Building Oscilloscope on FPGA. [ Code ] [ Video ]
• Huffman Coding Hardware. [ Code ]
• Graph Learning: Causal Graph Process (CGP) & Sparse Vector Autoregressive Model (SVAR). [ Code ] [ Slides ]
• Model Change Detection System. [ Code ]
• Minimum Mean Cycle Problem. [ Code ]

• Chordal Graph and Semidefinite Programs.
• Customize My macOS Terminal.