no code implementations • 23 Jan 2014 • Zizhen Zhang, Hu Qin, Xiaocong Liang, Andrew Lim
The talent scheduling problem is a simplified version of the real-world film shooting problem, which aims to determine a shooting sequence so as to minimize the total cost of the actors involved.
no code implementations • 17 Sep 2014 • Hu Qin, Zizhen Zhang, Yubin Xie, Andrew Lim
Therefore, the shortest transit time between any vertex pair is affected by the length of the period and the departure time.
no code implementations • 22 Jun 2019 • Tongwen Wu, Zizhen Zhang, Yanzhi Li, Jiahai Wang
Mobile sequential recommendation was originally designed to find a promising route for a single taxicab.
3 code implementations • 9 Feb 2020 • Bo Peng, Jiahai Wang, Zizhen Zhang
However, the fact is, the state of an instance is changed according to the decision that the model made at different construction steps, and the node features should be updated correspondingly.
no code implementations • 13 Feb 2020 • Hong Wu, Jiahai Wang, Zizhen Zhang
Each subproblem is modeled with a pointer network and the model is trained with reinforcement learning.
1 code implementation • 6 May 2021 • Zizhen Zhang, Zhiyuan Wu, Hang Zhang, Jiahai Wang
When these problems are extended to multiobjective ones, it becomes difficult for the existing DRL approaches to flexibly and efficiently deal with multiple subproblems determined by weight decomposition of objectives.
no code implementations • 16 Jul 2021 • Yongxin Zhang, Jiahai Wang, Zizhen Zhang, Yalan Zhou
The evolutionary learning is also employed to fine-tune the parameters of the models.
1 code implementation • journal 2023 • Zizhen Zhang, Hong Liu, Mengchu Zhou, Jiahai Wang
This brings in a dynamic version of the traveling salesman problem (DTSP), which takes into account the information of real-time traffic and customer requests.
1 code implementation • NeurIPS 2023 • Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang
Most of existing neural methods for multi-objective combinatorial optimization (MOCO) problems solely rely on decomposition, which often leads to repetitive solutions for the respective subproblems, thus a limited Pareto set.
1 code implementation • COLING 2022 • Xiaopeng Zheng, Zhiyue Liu, Zizhen Zhang, Zhaoyang Wang, Jiahai Wang
To address the first two problems, this paper proposes a universal prompt tuning method to solve different ECA tasks in the unified framework.
Ranked #1 on Emotion-Cause Pair Extraction on ECPE