← Search

Zhiqian Chen

7 accepted papers

2026

LLM-to-Map: Transparent Conversational Tool Orchestration for Real-Time Multi-Domain Simulation

IJCAI 2026

Coupled power-traffic simulations are valuable for studying EV charging stress and outage propagation, but existing tools typically require scripts and opaque configurations. We present LLM-to-Map, a demo system that exposes a real-time multi-domain simulator through structured LLM tool orchestratio

Cited by 0Scholar
2024

A Graph-based Representation Framework for Trajectory Recovery via Spatiotemporal Interval-Informed Seq2Seq

IJCAI 2024poster

The prevalent issue in urban trajectory data usage, notably in low-sample rate datasets, revolves around the accuracy of travel time estimations, traffic flow predictions, and trajectory similarity measurements. Conventional methods, often relying on simplistic mixes of static road networks and raw…

2024

Graph Bayesian Optimization for Multiplex Influence Maximization

AAAI 2024technical

Influence maximization (IM) is the problem of identifying a limited number of initial influential users within a social network to maximize the number of influenced users. However, previous research has mostly focused on individual information propagation, neglecting the simultaneous and interactive…

2024

Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization

AAAI 2024technical

Due to the significance of its various applications, source localization has garnered considerable attention as one of the most important means to confront diffusion hazards. Multi-source localization from a single-snapshot observation is especially relevant due to its prevalence. However, the inher…

2023

Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives

AAAI 2023technical

The US public school system is administered by local school districts. Each district comprises a set of schools mapped to attendance zones which are annually assessed to meet enrollment objectives. To support school officials in redrawing attendance boundaries, existing approaches have proven promis…

2023

Weakly Supervised Referring Expression Grounding via Dynamic Self-Knowledge Distillation

IROS 2023poster

Weakly supervised referring expression grounding (WREG) is an attractive and challenging task for grounding target regions in images by understanding given referring expressions. WREG learns to ground target objects without the manual annotations between image regions and referring expressions durin…

Cited by 1SourceScholar
2021

Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications

AAAI 2021technical

Forecasting citations of scientific patents and publications is a crucial task for understanding the evolution and development of technological domains and for foresight into emerging technologies. By construing citations as a time series, the task can be cast into the domain of temporal point proce…