Search Results for author: Zizhen Zhang

Found 8 papers, 2 papers with code

UECA-Prompt: Universal Prompt for Emotion Cause Analysis

no code implementations 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.

Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization Problems

1 code implementation6 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.

Combinatorial Optimization Meta-Learning +2

A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems

3 code implementations9 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.

Combinatorial Optimization reinforcement-learning

Collective Mobile Sequential Recommendation: A Recommender System for Multiple Taxicabs

no code implementations22 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.

Sequential Recommendation

A Tabu Search Algorithm for the Multi-period Inspector Scheduling Problem

no code implementations17 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.

An Enhanced Branch-and-bound Algorithm for the Talent Scheduling Problem

no code implementations23 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.

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