High-Frequency Trading and Probability Theory - Zhaodong Wang; Weian Zheng (WorldScientific, 2014)

Emission Mitigation via Longitudinal Control of Intelligent Vehicles in a Congested Platoon. - Zhaodong Wang; Xiqun Michael Chen; Yanfeng Ouyang; Meng Li 017 (Comput. Aided Civ. Infrastructure Eng., 2015)

Bounded growth of the bullwhip effect under a class of nonlinear ordering policies. - Zhaodong Wang; Xin Wang; Yanfeng Ouyang (Eur. J. Oper. Res., 2015)

Effective Transfer via Demonstrations in Reinforcement Learning: A Preliminary Study. - Zhaodong Wang; Matthew E. Taylor (AAAI Spring Symposia, 2016)

Integrated Planning for Multiple Types of Locomotive Work Facilities Under Location, Routing, and Inventory Considerations. - Siyang Xie; Xi Chen; Zhaodong Wang; Yanfeng Ouyang; Kamalesh Somani; Jing Huang (Interfaces, 2016)

Improving Reinforcement Learning with Confidence-Based Demonstrations. - Zhaodong Wang; Matthew E. Taylor (IJCAI, 2017)

Bin-Dog: A Robotic Platform for Bin Management in Orchards. - Yunxiang Ye; Zhaodong Wang; Dylan Jones; Long He; Matthew E. Taylor; Geoffrey A. Hollinger; Qin Zhang 012 (Robotics, 2017)

Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching. - Zhaodong Wang; Zhiwei (Tony) Qin; Xiaocheng Tang; Jieping Ye; Hongtu Zhu (ICDM, 2018)

Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human/Agent's Demonstration. - Zhaodong Wang; Matthew E. Taylor (CoRR, 2018)

Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human and Agent Demonstrations. - Zhaodong Wang; Matthew E. Taylor (IJCAI, 2019)

A Deep Value-network Based Approach for Multi-Driver Order Dispatching. - Xiaocheng Tang; Zhiwei (Tony) Qin; Fan Zhang 098; Zhaodong Wang; Zhe Xu; Yintai Ma; Hongtu Zhu; Jieping Ye (KDD, 2019)

Efficient Deep Reinforcement Learning through Policy Transfer. - Tianpei Yang; Jianye Hao; Zhaopeng Meng; Zongzhang Zhang; Yujing Hu; Yingfeng Chen; Changjie Fan; Weixun Wang; Zhaodong Wang; Jiajie Peng (AAMAS, 2020)

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 (IJCAI, 2020)

Tool Wear Recognition Based on Deep Kernel Autoencoder With Multichannel Signals Fusion. - Jiayu Ou; Hongkun Li; Gangjin Huang; Bo Liu 083; Zhaodong Wang (IEEE Trans. Instrum. Meas., 2021)

Graph-combined Coreference Resolution Methods on Conversational Machine Reading Comprehension with Pre-trained Language Model. - Zhaodong Wang; Kazunori Komatani (DialDoc@ACL, 2022)

On Solving a Class of Continuous Traffic Equilibrium Problems and Planning Facility Location Under Congestion. - Zhaodong Wang; Yanfeng Ouyang; Ruifeng She (Oper. Res., 2022)

Learning Harmony Based on Grammar Analysis and Visualization. - Xingda Li; Zhaodong Wang; Yonghe Zheng; Lin Gan (ICME Workshops, 2023)

Practical Intent-driven Routing Configuration Synthesis. - Sivaramakrishnan Ramanathan; Ying Zhang 022; Mohab Gawish; Yogesh Mundada; Zhaodong Wang; Sangki Yun; Eric Lippert; Walid Taha; Minlan Yu; Jelena Mirkovic (NSDI, 2023)

Klotski: Efficient and Safe Network Migration of Large Production Datacenters. - Yihao Zhao; Xiaoxiang Zhang; Hang Zhu; Ying Zhang 022; Zhaodong Wang; Yuandong Tian; Alex Nikulkov; Joao Ferreira; Xuanzhe Liu; Xin Jin 008 (SIGCOMM, 2023)

Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces. - Srinivas Sridharan 002; Taekyung Heo; Louis Feng; Zhaodong Wang; Matt Bergeron; Wenyin Fu; Shengbao Zheng; Brian Coutinho; Saeed Rashidi; Changhai Man; Tushar Krishna (CoRR, 2023)

Enhanced E-Commerce Attribute Extraction: Innovating with Decorative Relation Correction and LLAMA 2.0-Based Annotation. - Jianghong Zhou; Weizhi Du; Md Omar Faruk Rokon; Zhaodong Wang; Jiaxuan Xu; Isha Shah; Kuang-chih Lee; Musen Wen (CoRR, 2023)

Liquid Content Detection In Transparent Containers: A Benchmark. - You Wu 009; Hengzhou Ye; Yaqing Yang; Zhaodong Wang; Shuiwang Li (Sensors, 2023)

Cooperative-theoretic optimal adaptive robust control for fuzzy multiple manipulator systems. - Faliang Wang; Ke Chen; Shengchao Zhen; Hongmei Zheng; Xiaofei Chen; Zhaodong Wang (J. Frankl. Inst., 2023)

Next-Gen Sponsored Search: Crafting the Perfect Query with Inventory-Aware RAG (InvAwr-RAG) - Based GenAI. - Md Omar Faruk Rokon; Weizhi Du; Zhaodong Wang; Musen Wen (eCom@SIGIR, 2024)

Transferable Neural WAN TE for Changing Topologies. - Abd AlRhman AlQiam; Yuanjun Yao; Zhaodong Wang; Satyajeet Singh Ahuja; Ying Zhang 022; Sanjay G. Rao; Bruno Ribeiro 001; Mohit Tawarmalani (SIGCOMM, 2024)

MCCS: A Service-based Approach to Collective Communication for Multi-Tenant Cloud. - Yongji Wu; Yechen Xu; Jingrong Chen 002; Zhaodong Wang; Ying Zhang 022; Matthew Lentz; Danyang Zhuo (SIGCOMM, 2024)

LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation. - Mufei Li; Viraj Shitole; Eli Chien; Changhai Man; Zhaodong Wang; Srinivas Sridharan 002; Ying Zhang; Tushar Krishna; Pan Li 005 (CoRR, 2024)

Predefined performance control for fuzzy robotic systems with measurement noise: Adaptation, robustness, and fuzzy optimization. - Faliang Wang; Shengchao Zhen; Ke Chen; Hongmei Zheng; Xiaofei Chen; Zhaodong Wang (J. Frankl. Inst., 2024)

Prescribed Performance Adaptive Robust Control for Robotic Manipulators With Fuzzy Uncertainty. - Faliang Wang; Ke Chen; Shengchao Zhen; Xiaofei Chen; Hongmei Zheng; Zhaodong Wang (IEEE Trans. Fuzzy Syst., 2024)

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 005 (ICLR, 2025)

Semantic Ads Retrieval at Walmart eCommerce with Language Models Progressively Trained on Multiple Knowledge Domains. - Zhaodong Wang; Weizhi Du; Md Omar Faruk Rokon; Pooshpendu Adhikary; Yanbing Xue; Jiaxuan Xu; Jianghong Zhou; Kuang-chih Lee; Musen Wen (CoRR, 2025)

Phantora: Live GPU Cluster Simulation for Machine Learning System Performance Estimation. - Jianxing Qin; Jingrong Chen 002; Xinhao Kong; Yongji Wu; Liang Luo; Zhaodong Wang; Ying Zhang 022; Tingjun Chen; Alvin R. Lebeck; Danyang Zhuo (CoRR, 2025)