Qi Zhang

18 papers A* 6A 1Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Turning Semantics into Topology: LLM-Driven Attribute Augmentation for Collaborative Filtering.
CoRR
Junjie Meng, Ranxu Zhang, Wei Wu, Rui Zhang, Chuan Qin, Qi Zhang, Qi Liu, Hui Xiong, Chao Wang
2025 J jnl
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics.
Proc. IEEE
Chuan Qin, Le Zhang, Yihang Cheng, Rui Zha, Dazhong Shen, Qi Zhang, Xi Chen, Ying Sun, Chen Zhu, Hengshu Zhu, Hui Xiong
2025 J jnl
ChemATP: A Training-Free Chemical Reasoning Framework for Large Language Models.
CoRR
Mingxu Zhang, Dazhong Shen, Qi Zhang, Ying Sun
2025 J jnl
Handling Over-Smoothing and Over-Squashing in Graph Convolution With Maximization Operation.
IEEE Trans. Neural Networks Learn. Syst.
Dazhong Shen, Chuan Qin, Qi Zhang, Hengshu Zhu, Hui Xiong
2025 A conf
I-Lora: Iterative Merging of Routing-Tuned Low-Rank Adapters for Multi-Task Learning.
ICME
Guoqing Zhao, Qi Zhang, Shaopeng Zhai, Dazhong Shen, Tianyi Zhang, Yu Qiao, Tong Xu
2024 J jnl
CLSP: High-Fidelity Contrastive Language-State Pre-training for Agent State Representation.
CoRR
Fuxian Huang, Qi Zhang, Shaopeng Zhai, Jie Wang, Tianyi Zhang, Haoran Zhang, Ming Zhou, Yu Liu, Yu Qiao
2024 J jnl
Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting.
CoRR
Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong
2024 A* conf
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation.
ICDM
Xiaoshan Yu, Chuan Qin, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, Hengshu Zhu
2024 J jnl
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation.
CoRR
Xiaoshan Yu, Chuan Qin, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, Hengshu Zhu
2024 A* conf
Graph Signal Diffusion Model for Collaborative Filtering.
SIGIR
Yunqin Zhu, Chao Wang, Qi Zhang, Hui Xiong
2023 J jnl
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics.
CoRR
Chuan Qin, Le Zhang, Rui Zha, Dazhong Shen, Qi Zhang, Ying Sun, Chen Zhu, Hengshu Zhu, Hui Xiong
2023 J jnl
Hierarchical Wi-Fi Trajectory Embedding for Indoor User Mobility Pattern Analysis.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Qi Zhang, Hengshu Zhu, Peng Wang, Enhong Chen, Hui Xiong
2023 A* conf
RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment.
KDD
Chuyu Fang, Chuan Qin, Qi Zhang, Kaichun Yao, Jingshuai Zhang, Hengshu Zhu, Fuzhen Zhuang, Hui Xiong
2022 A* conf
Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning.
KDD
Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong
2021 J jnl
Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results.
ACM Trans. Inf. Syst.
Qi Zhang, Hengshu Zhu, Qi Liu, Enhong Chen, Hui Xiong
2021 A* conf
Talent Demand Forecasting with Attentive Neural Sequential Model.
KDD
Qi Zhang, Hengshu Zhu, Ying Sun, Hao Liu, Fuzhen Zhuang, Hui Xiong
2019 A* conf
Aftershock Detection with Multi-scale Description Based Neural Network.
ICDM
Qi Zhang, Tong Xu, Hengshu Zhu, Lifu Zhang, Hui Xiong, Enhong Chen, Qi Liu
2019 J jnl
Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring - The Winning Solution of the 2017 International Aftershock Detection Contest.
CoRR
Dazhong Shen, Qi Zhang, Tong Xu, Hengshu Zhu, Wenjia Zhao, Zikai Yin, Peilun Zhou, Lihua Fang, Enhong Chen, Hui Xiong