activity
20092024
most citedDeep Reinforcement Learning for Page-wise Recommendations

430 citations · 1.3k across the 37 of their papers we have counts for

collaborators

38 papers

physics.ins-det2024

Beam test of a baseline vertex detector prototype for CEPC

Shuqi Li, Tianya Wu, Xinhui Huang +27

The Circular Electron Positron Collider (CEPC) has been proposed to enable more thorough and precise measurements of the properties of Higgs, W, and Z bosons, as well as to search…

cs.AI2023

Graph Edit Distance Learning via Different Attention

Jiaxi Lv, Liang Zhang, Yi Huang +2

Recently, more and more research has focused on using Graph Neural Networks (GNN) to solve the Graph Similarity Computation problem (GSC), i.e., computing the Graph Edit Distance (…

cs.CV2023

FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object Segmentation

Tianyi Shi, Xiaohuan Ding, Liang Zhang +1

Curvilinear object segmentation is critical for many applications. However, manually annotating curvilinear objects is very time-consuming and error-prone, yielding insufficiently…

cs.LG2023

Road Network Representation Learning: A Dual Graph based Approach

Liang Zhang, Cheng Long

Road network is a critical infrastructure powering many applications including transportation, mobility and logistics in real life. To leverage the input of a road network across t…

q-bio.QM2023

TemPL: A Novel Deep Learning Model for Zero-Shot Prediction of Protein Stability and Activity Based on Temperature-Guided Language Modeling

Pan Tan, Mingchen Li, Liang Zhang +2

We introduce TemPL, a novel deep learning approach for zero-shot prediction of protein stability and activity, harnessing temperature-guided language modeling. By assembling an ext…

cs.LG2023★ 1 cited

DataLight: Offline Data-Driven Traffic Signal Control

Liang Zhang, Yutong Zhang, Jianming Deng +1

Reinforcement learning (RL) has emerged as a promising solution for addressing traffic signal control (TSC) challenges. While most RL-based TSC systems typically employ an online a…