Haoxian Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
9
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGCOMM | Explaining Network Configurations Under Failures via Localized Subspecifications. | Yaxuan Lin, Yongzheng Zhang, Haoxian Chen |
| 2026 | SIGCOMM | Explainable Network Verification via Localized Subspecification. | Yongzheng Zhang, Yaxuan Lin, Haoxian Chen, Ruize Ma, Amirmohammad Nazari, Mukund Raghothaman, Peng Zhang |
| 2025 | ICLR | MallowsPO: Fine-Tune Your LLM with Preference Dispersions. | Haoxian Chen, Hanyang Zhao, Henry Lam, David D. Yao, Wenpin Tang |
| 2025 | ICML | Score as Action: Fine Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning. | Hanyang Zhao, Haoxian Chen, Ji Zhang, David D. Yao, Wenpin Tang |
| 2024 | HOTNETS | Localized Explanations for Automatically Synthesized Network Configurations. | Amirmohammad Nazari, Yongzheng Zhang, Mukund Raghothaman, Haoxian Chen |
| 2024 | ICSE | Verifying Declarative Smart Contracts. | Haoxian Chen, Lan Lu, Brendan Massey, Yuepeng Wang, Boon Thau Loo |
| 2024 | VLDB | Practical Declarative Smart Contracts Optimization. | Lan Lu, Tao Luo, Jingyi Li, Hongxun Ding, Brendan Massey, Haoxian Chen, Boon Thau Loo |
| 2022 | ICLR | Hybrid Random Features. | Krzysztof Marcin Choromanski, Han Lin, Haoxian Chen, Arijit Sehanobish, Yuanzhe Ma, Deepali Jain, Jake Varley, Andy Zeng, Michael S. Ryoo, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller |
| 2022 | ICML | From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers. | Krzysztof Choromanski, Han Lin, Haoxian Chen, Tianyi Zhang, Arijit Sehanobish, Valerii Likhosherstov, Jack Parker-Holder, Tams Sarls, Adrian Weller, Thomas Weingarten |
| 2021 | AISTATS | Learning Prediction Intervals for Regression: Generalization and Calibration. | Haoxian Chen, Ziyi Huang, Henry Lam, Huajie Qian, Haofeng Zhang |
| 2021 | HOTNETS | Interpretable Feedback for AutoML and a Proposal for Domain-customized AutoML for Networking. | Behnaz Arzani, Kevin Hsieh, Haoxian Chen |
| 2020 | ACML | Constrained Reinforcement Learning via Policy Splitting. | Haoxian Chen, Henry Lam, Fengpei Li, Amirhossein Meisami |
| 2018 | NSDI | LHD: Improving Cache Hit Rate by Maximizing Hit Density. | Nathan Beckmann, Haoxian Chen, Asaf Cidon |