Zhaodong Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
6
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | NSDI | Phantora: Maximizing Code Reuse in Simulation-based Machine Learning System Performance Estimation. | Jianxing Qin, Jingrong Chen, Xinhao Kong, Yongji Wu, Tianjun Yuan, Liang Luo, Zhaodong Wang, Ying Zhang, Tingjun Chen, Alvin R. Lebeck, Danyang Zhuo |
| 2026 | NSDI | Enabling AI Network Cross-Layer Design and Operations with Arcadia: A Simulation Platform at Scale. | Zhaodong Wang, Satyajeet Singh Ahuja, Xu Zhang, Max Noormohammadpour, Gregory R. Steinbrecher, Thomas Fuller, Xin Liu, Kevin Quirk, Mikel Jimenez Fernandez, Abhinav Triguna, Yan Cai, Steve Politis, Petr Lapukhov, Naader Hasani, Ying Zhang |
| 2025 | ICLR | LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation. | Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas, Ying Zhang, Tushar Krishna, Pan Li |
| 2025 | SIGCOMM | Hattrick: Solving Multi-Class TE using Neural Models. | Abd AlRhman AlQiam, Zhuocong Li, Satyajeet Singh Ahuja, Zhaodong Wang, Ying Zhang, Sanjay G. Rao, Bruno Ribeiro, Mohit Tawarmalani |
| 2025 | SIGCOMM | Intent-Driven Network Management with Multi-Agent LLMs: The Confucius Framework. | Zhaodong Wang, Samuel Lin, Guanqing Yan, Soudeh Ghorbani, Minlan Yu, Jiawei Zhou, Nathan Hu, Lopa Baruah, Sam Peters, Srikanth Kamath, Jerry Yang, Ying Zhang |
| 2024 | SIGCOMM | Transferable Neural WAN TE for Changing Topologies. | Abd AlRhman AlQiam, Yuanjun Yao, Zhaodong Wang, Satyajeet Singh Ahuja, Ying Zhang, Sanjay G. Rao, Bruno Ribeiro, Mohit Tawarmalani |
| 2024 | SIGCOMM | MCCS: A Service-based Approach to Collective Communication for Multi-Tenant Cloud. | Yongji Wu, Yechen Xu, Jingrong Chen, Zhaodong Wang, Ying Zhang, Matthew Lentz, Danyang Zhuo |
| 2023 | NSDI | Practical Intent-driven Routing Configuration Synthesis. | Sivaramakrishnan Ramanathan, Ying Zhang, Mohab Gawish, Yogesh Mundada, Zhaodong Wang, Sangki Yun, Eric Lippert, Walid Taha, Minlan Yu, Jelena Mirkovic |
| 2023 | SIGCOMM | Klotski: Efficient and Safe Network Migration of Large Production Datacenters. | Yihao Zhao, Xiaoxiang Zhang, Hang Zhu, Ying Zhang, Zhaodong Wang, Yuandong Tian, Alex Nikulkov, Joao Ferreira, Xuanzhe Liu, Xin Jin |
| 2020 | IJCAI | Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. | Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng |
| 2019 | IJCAI | Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human and Agent Demonstrations. | Zhaodong Wang, Matthew E. Taylor |
| 2019 | KDD | A Deep Value-network Based Approach for Multi-Driver Order Dispatching. | Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye |
| 2018 | ICDM | Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching. | Zhaodong Wang, Zhiwei (Tony) Qin, Xiaocheng Tang, Jieping Ye, Hongtu Zhu |
| 2017 | IJCAI | Improving Reinforcement Learning with Confidence-Based Demonstrations. | Zhaodong Wang, Matthew E. Taylor |