Zhaodong Wang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 26

Top Topics

Robotic Platform

Reinforcement Learning

Coreference Resolution

Top Venues

J. Frankl. Inst.

Publications

Abd AlRhman AlQiam, Yuanjun Yao, Zhaodong Wang, Satyajeet Singh Ahuja, Ying Zhang, Sanjay G. Rao, Bruno Ribeiro, Mohit Tawarmalani
Transferable Neural WAN TE for Changing Topologies. SIGCOMM (2024)
Yongji Wu, Yechen Xu, Jingrong Chen, Zhaodong Wang, Ying Zhang, Matthew Lentz, Danyang Zhuo
MCCS: A Service-based Approach to Collective Communication for Multi-Tenant Cloud. SIGCOMM (2024)
Faliang Wang, Ke Chen, Shengchao Zhen, Xiaofei Chen, Hongmei Zheng, Zhaodong Wang
Prescribed Performance Adaptive Robust Control for Robotic Manipulators With Fuzzy Uncertainty. IEEE Trans. Fuzzy Syst. 32 (3) (2024)
Faliang Wang, Shengchao Zhen, Ke Chen, Hongmei Zheng, Xiaofei Chen, Zhaodong Wang
Predefined performance control for fuzzy robotic systems with measurement noise: Adaptation, robustness, and fuzzy optimization. J. Frankl. Inst. 361 (11) (2024)
Faliang Wang, Ke Chen, Shengchao Zhen, Hongmei Zheng, Xiaofei Chen, Zhaodong Wang
Cooperative-theoretic optimal adaptive robust control for fuzzy multiple manipulator systems. J. Frankl. Inst. 360 (16) (2023)
Yihao Zhao, Xiaoxiang Zhang, Hang Zhu, Ying Zhang, Zhaodong Wang, Yuandong Tian, Alex Nikulkov, Joao Ferreira, Xuanzhe Liu, Xin Jin
Klotski: Efficient and Safe Network Migration of Large Production Datacenters. SIGCOMM (2023)
Jianghong Zhou, Weizhi Du, Md Omar Faruk Rokon, Zhaodong Wang, Jiaxuan Xu, Isha Shah, Kuang-chih Lee, Musen Wen
Enhanced E-Commerce Attribute Extraction: Innovating with Decorative Relation Correction and LLAMA 2.0-Based Annotation. CoRR (2023)
Srinivas Sridharan, Taekyung Heo, Louis Feng, Zhaodong Wang, Matt Bergeron, Wenyin Fu, Shengbao Zheng, Brian Coutinho, Saeed Rashidi, Changhai Man, Tushar Krishna
Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces. CoRR (2023)
Xingda Li, Zhaodong Wang, Yonghe Zheng, Lin Gan
Learning Harmony Based on Grammar Analysis and Visualization. ICME Workshops (2023)
Sivaramakrishnan Ramanathan, Ying Zhang, Mohab Gawish, Yogesh Mundada, Zhaodong Wang, Sangki Yun, Eric Lippert, Walid Taha, Minlan Yu, Jelena Mirkovic
Practical Intent-driven Routing Configuration Synthesis. NSDI (2023)
You Wu, Hengzhou Ye, Yaqing Yang, Zhaodong Wang, Shuiwang Li
Liquid Content Detection In Transparent Containers: A Benchmark. Sensors 23 (15) (2023)
Zhaodong Wang, Yanfeng Ouyang, Ruifeng She
On Solving a Class of Continuous Traffic Equilibrium Problems and Planning Facility Location Under Congestion. Oper. Res. 70 (3) (2022)
Zhaodong Wang, Kazunori Komatani
Graph-combined Coreference Resolution Methods on Conversational Machine Reading Comprehension with Pre-trained Language Model. DialDoc@ACL (2022)
Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye
A Deep Value-network Based Approach for Multi-Driver Order Dispatching. CoRR (2021)
Jiayu Ou, Hongkun Li, Gangjin Huang, Bo Liu, Zhaodong Wang
Tool Wear Recognition Based on Deep Kernel Autoencoder With Multichannel Signals Fusion. IEEE Trans. Instrum. Meas. 70 (2021)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Weixun Wang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhaodong Wang, Jiajie Peng
Efficient Deep Reinforcement Learning through Policy Transfer. CoRR (2020)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. IJCAI (2020)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Zhaodong Wang, Jiajie Peng
Efficient Deep Reinforcement Learning through Policy Transfer. AAMAS (2020)
Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye
A Deep Value-network Based Approach for Multi-Driver Order Dispatching. KDD (2019)
Zhaodong Wang, Matthew E. Taylor
Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human and Agent Demonstrations. IJCAI (2019)
Zhaodong Wang, Zhiwei (Tony) Qin, Xiaocheng Tang, Jieping Ye, Hongtu Zhu
Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching. ICDM (2018)
Zhaodong Wang, Matthew E. Taylor
Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human/Agent's Demonstration. CoRR (2018)
Yunxiang Ye, Zhaodong Wang, Dylan Jones, Long He, Matthew E. Taylor, Geoffrey A. Hollinger, Qin Zhang
Bin-Dog: A Robotic Platform for Bin Management in Orchards. Robotics 6 (2) (2017)
Zhaodong Wang, Matthew E. Taylor
Improving Reinforcement Learning with Confidence-Based Demonstrations. IJCAI (2017)
Siyang Xie, Xi Chen, Zhaodong Wang, Yanfeng Ouyang, Kamalesh Somani, Jing Huang
Integrated Planning for Multiple Types of Locomotive Work Facilities Under Location, Routing, and Inventory Considerations. Interfaces 46 (5) (2016)
Zhaodong Wang, Matthew E. Taylor
Effective Transfer via Demonstrations in Reinforcement Learning: A Preliminary Study. AAAI Spring Symposia (2016)
Zhaodong Wang, Xin Wang, Yanfeng Ouyang
Bounded growth of the bullwhip effect under a class of nonlinear ordering policies. Eur. J. Oper. Res. 247 (1) (2015)
Zhaodong Wang, Xiqun Michael Chen, Yanfeng Ouyang, Meng Li
Emission Mitigation via Longitudinal Control of Intelligent Vehicles in a Congested Platoon. Comput. Aided Civ. Infrastructure Eng. 30 (6) (2015)