16 citations · 41 across the 23 of their papers we have counts for
4 papers · 1 filter
ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area
Junxian Li, Di Zhang, Xunzhi Wang +16
Large Language Models (LLMs) have achieved remarkable success and have been applied across various scientific fields, including chemistry. However, many chemical tasks require the…
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework
Junxian Li, Bin Shi, Erfei Cui +2
We study the challenging problem for inference tasks on large-scale graph datasets of Graph Neural Networks: huge time and memory consumption, and try to overcome it by reducing re…
Uncertainty-aware Traffic Prediction under Missing Data
Hao Mei, Junxian Li, Zhiming Liang +3
Traffic prediction is a crucial topic because of its broad scope of applications in the transportation domain. Recently, various studies have achieved promising results. However, m…
Reinforcement Learning Approaches for Traffic Signal Control under Missing Data
Hao Mei, Junxian Li, Bin Shi +1
The emergence of reinforcement learning (RL) methods in traffic signal control tasks has achieved better performance than conventional rule-based approaches. Most RL approaches req…