Jingbo Zhou

According to our database, Jingbo Zhou authored at least 81 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Efficient Federated Learning with Heterogeneous Data and Adaptive Dropout.

Ji Liu, Beichen Ma, Qiaolin Yu, Ruoming Jin, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Haixun Wang, Dejing Dou, Patrick Valduriez

ACM Trans. Knowl. Discov. Data, September, 2025

AAPO: Enhance the Reasoning Capabilities of LLMs with Advantage Momentum.

Jian Xiong, Jingbo Zhou, Jingyong Ye, Dejing Dou

CoRR, May, 2025

Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective.

Yu Fan, Xinjiang Lu, Hao Liu, Pengfei Wang, Liang Liu, Huadong Ma, Jingbo Zhou

ACM Trans. Intell. Syst. Technol., April, 2025

ImageScope: Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective Reasoning.

Pengfei Luo, Jingbo Zhou, Tong Xu, Yuan Xia, Linli Xu, Enhong Chen

CoRR, March, 2025

TimeFound: A Foundation Model for Time Series Forecasting.

Congxi Xiao, Jingbo Zhou, Yixiong Xiao, Xinjiang Lu, Lei Zhang, Hui Xiong

CoRR, March, 2025

CHAT: Beyond Contrastive Graph Transformer for Link Prediction in Heterogeneous Networks.

Shengming Zhang, Le Zhang, Jingbo Zhou, Hui Xiong

CoRR, January, 2025

<i>ImageScope: </i> Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective Reasoning.

Pengfei Luo, Jingbo Zhou, Tong Xu, Yuan Xia, Linli Xu, Enhong Chen

Proceedings of the ACM on Web Conference 2025, 2025

LLM-Eraser: Optimizing Large Language Model Unlearning through Selective Pruning.

Shengming Zhang, Le Zhang, Jingbo Zhou, Zhi Zheng, Hui Xiong

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

Enhancing trust and privacy in distributed networks: a comprehensive survey on blockchain-based federated learning.

Ji Liu, Chunlu Chen, Yu Li, Lin Sun, Yulun Song, Jingbo Zhou, Bo Jing, Dejing Dou

Knowl. Inf. Syst., August, 2024

GIaNt: Protein-Ligand Binding Affinity Prediction via Geometry-Aware Interactive Graph Neural Network.

Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong

IEEE Trans. Knowl. Data Eng., May, 2024

A Protein-Context Enhanced Master Slave Framework for Zero-Shot Drug Target Interaction Prediction.

Yuyang Xu, Jingbo Zhou, Haochao Ying, Jintai Chen, Wei Chen, Danny Z. Chen, Jian Wu

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

A Scalable Open-Source System for Segmenting Urban Areas with Road Networks.

Ming Zhang, Yanyan Li, Jianguo Duan, Jizhou Huang, Jingbo Zhou

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Hierarchical Structure-Aware Graph Prompting for Drug-Drug Interaction Prediction.

Yuhan Ye, Jingbo Zhou, Shuangli Li, Congxi Xiao, Haochao Ying, Hui Xiong

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

ReFound: Crafting a Foundation Model for Urban Region Understanding upon Language and Visual Foundations.

Congxi Xiao, Jingbo Zhou, Yixiong Xiao, Jizhou Huang, Hui Xiong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions.

Yaqing Wang, Hongming Piao, Daxiang Dong, Quanming Yao, Jingbo Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CrossLight: Offline-to-Online Reinforcement Learning for Cross-City Traffic Signal Control.

Qian Sun, Rui Zha, Le Zhang, Jingbo Zhou, Yu Mei, Zhiling Li, Hui Xiong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Killing Two Birds with One Stone: Cross-modal Reinforced Prompting for Graph and Language Tasks.

Wenyuan Jiang, Wenwei Wu, Le Zhang, Zixuan Yuan, Jian Xiang, Jingbo Zhou, Hui Xiong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks.

Weijia Zhang, Le Zhang, Jindong Han, Hao Liu, Yanjie Fu, Jingbo Zhou, Yu Mei, Hui Xiong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Two-step Fine-tuning Assisted Layout Sizing Scheme for Analog/RF Circuits.

Zhikai Wang, Zuochang Ye, Jingbo Zhou, Xiaosen Liu, Yan Wang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Robust Reward Placement under Uncertainty.

Petros Petsinis, Kaichen Zhang, Andreas Pavlogiannis, Jingbo Zhou, Panagiotis Karras

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

ColdU: User Cold-start Recommendation with User-specific Modulation.

Daxiang Dong, Shiguang Wu, Yaqing Wang, Jingbo Zhou, Haifeng Wang

Proceedings of the IEEE Conference on Artificial Intelligence, 2024

Scaling Up Multivariate Time Series Pre-Training with Decoupled Spatial-Temporal Representations.

Rui Zha, Le Zhang, Shuangli Li, Jingbo Zhou, Tong Xu, Hui Xiong, Enhong Chen

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Hierarchical Cross-Level Graph Contrastive Learning for Drug-Drug Interaction Prediction.

Yuhan Ye, Jingbo Zhou, Shuangli Li, Congxi Xiao, Haochao Ying, Hui Xiong

Proceedings of the Database Systems for Advanced Applications, 2024

Spatio-Temporal Sequence Modeling for Traffic Signal Control.

Qian Sun, Le Zhang, Jingbo Zhou, Rui Zha, Yu Mei, Chujie Tian, Hui Xiong

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

An Efficient Transfer Learning Assisted Global Optimization Scheme for Analog/RF Circuits.

Zhikai Wang, Jingbo Zhou, Xiaosen Liu, Yan Wang

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

Visualization Recommendation with Prompt-based Reprogramming of Large Language Models.

Xinhang Li, Jingbo Zhou, Wei Chen, Derong Xu, Tong Xu, Enhong Chen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

$\mathcal {AFCS}:$AFCS: Aggregation-Free Spatial-Temporal Mobile Community Sensing.

Jiang Bian, Haoyi Xiong, Zhiyuan Wang, Jingbo Zhou, Shilei Ji, Hongyang Chen, Daqing Zhang, Dejing Dou

IEEE Trans. Mob. Comput., September, 2023

Structure-aware protein self-supervised learning.

Can (sam) Chen, Jingbo Zhou, Fan Wang, Xue (Steve) Liu, Dejing Dou

Bioinform., April, 2023

Multi-Job Intelligent Scheduling With Cross-Device Federated Learning.

Ji Liu, Juncheng Jia, Beichen Ma, Chendi Zhou, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou

IEEE Trans. Parallel Distributed Syst., February, 2023

Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation.

Jiang Bian, Jizhou Huang, Shilei Ji, Yuan Liao, Xuhong Li, Qingzhong Wang, Jingbo Zhou, Dejing Dou, Yaqing Wang, Haoyi Xiong

IEEE Trans. Serv. Comput., 2023

Data Placement for Multi-Tenant Data Federation on the Cloud.

Ji Liu, Lei Mo, Sijia Yang, Jingbo Zhou, Shilei Ji, Haoyi Xiong, Dejing Dou

IEEE Trans. Cloud Comput., 2023

Pre-Training on Large-Scale Generated Docking Conformations with HelixDock to Unlock the Potential of Protein-ligand Structure Prediction Models.

Lihang Liu, Donglong He, Xianbin Ye, Shanzhuo Zhang, Xiaonan Zhang, Jingbo Zhou, Jun Li, Hua Chai, Fan Wang, Jingzhou He, Liang Zheng, Yonghui Li, Xiaomin Fang

CoRR, 2023

Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network.

Weijia Zhang, Le Zhang, Jindong Han, Hao Liu, Jingbo Zhou, Yu Mei, Hui Xiong

CoRR, 2023

Robust Training of Graph Neural Networks via Noise Governance.

Siyi Qian, Haochao Ying, Renjun Hu, Jingbo Zhou, Jintai Chen, Danny Z. Chen, Jian Wu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Matching Point of Interests and Travel Blog with Multi-view Information Fusion.

Shuokai Li, Jingbo Zhou, Jizhou Huang, Hao Chen, Fuzhen Zhuang, Qing He, Dejing Dou

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Spatial Heterophily Aware Graph Neural Networks.

Congxi Xiao, Jingbo Zhou, Jizhou Huang, Tong Xu, Hui Xiong

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Multi-Temporal Relationship Inference in Urban Areas.

Shuangli Li, Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, Hui Xiong

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Multimodal Biological Knowledge Graph Completion via Triple Co-Attention Mechanism.

Derong Xu, Jingbo Zhou, Tong Xu, Yuan Xia, Ji Liu, Enhong Chen, Dejing Dou

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection.

Congxi Xiao, Jingbo Zhou, Jizhou Huang, Hengshu Zhu, Tong Xu, Dejing Dou, Hui Xiong

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Table-to-Text Framework with Heterogeneous Multidominance Attention and Self-Evaluated Multi-Pass Deliberation.

Xi Chen, Xinjiang Lu, Haoran Xin, Wenjun Peng, Haoyang Duan, Feihu Jiang, Jingbo Zhou, Hui Xiong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Mitigating Confounding and Selection Biases in Personalized Recommendation: A Causal Approach.

Wen Huang, Jingbo Zhou, Xintao Wu, Dejing Dou

Proceedings of the IEEE International Conference on Big Data, 2023

Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning.

Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun, Yanjie Fu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

$\mathsf{NCF}$NCF: A Neural Context Fusion Approach to Raw Mobility Annotation.

Renjun Hu, Jingbo Zhou, Xinjiang Lu, Hengshu Zhu, Shuai Ma, Hui Xiong

IEEE Trans. Mob. Comput., 2022

Competitive Relationship Prediction for Points of Interest: A Neural Graphlet Based Approach.

Jingbo Zhou, Tao Huang, Shuangli Li, Renjun Hu, Yanchi Liu, Yanjie Fu, Hui Xiong

IEEE Trans. Knowl. Data Eng., 2022

Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network.

Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Tong Xu, Hui Xiong

IEEE Trans. Knowl. Data Eng., 2022

Geometry-enhanced molecular representation learning for property prediction.

Xiaomin Fang, Lihang Liu, Jieqiong Lei, Donglong He, Shanzhuo Zhang, Jingbo Zhou, Fan Wang, Hua Wu, Haifeng Wang

Nat. Mach. Intell., 2022

SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting Challenge at KDD Cup 2022.

Jingbo Zhou, Xinjiang Lu, Yixiong Xiao, Jiantao Su, Junfu Lyu, Yanjun Ma, Dejing Dou

CoRR, 2022

Practical Strategies of Active Learning to Rank for Web Search.

Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Jingbo Zhou, Dawei Yin, Dejing Dou

CoRR, 2022

Structure-aware Protein Self-supervised Learning.

Can Chen, Jingbo Zhou, Fan Wang, Xue Liu, Dejing Dou

CoRR, 2022

Relation-enhanced Negative Sampling for Multimodal Knowledge Graph Completion.

Derong Xu, Tong Xu, Shiwei Wu, Jingbo Zhou, Enhong Chen

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Building Post-layout Performance Model of Analog/RF Circuits by Fine-tuning Technique.

Zhikai Wang, Wenfei Hu, Jingbo Zhou, Wenyuan Zhang, Ruitao Wang, Jian Zhang, Dejing Dou, Zuochang Ye, Yan Wang

Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

Time-aware Neural Trip Planning Reinforced by Human Mobility.

Linlang Jiang, Jingbo Zhou, Tong Xu, Yanyan Li, Hao Chen, Dejing Dou

Proceedings of the International Joint Conference on Neural Networks, 2022

Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach.

Miao Chen, Xinjiang Lu, Tong Xu, Yanyan Li, Jingbo Zhou, Dejing Dou, Hui Xiong

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Efficient Device Scheduling with Multi-Job Federated Learning.

Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction.

Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Adversarial Neural Trip Recommendation.

Linlang Jiang, Jingbo Zhou, Tong Xu, Yanyan Li, Hao Chen, Jizhou Huang, Hui Xiong

CoRR, 2021

ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction.

Xiaomin Fang, Lihang Liu, Jieqiong Lei, Donglong He, Shanzhuo Zhang, Jingbo Zhou, Fan Wang, Hua Wu, Haifeng Wang

CoRR, 2021

Medical Entity Relation Verification with Large-scale Machine Reading Comprehension.

Yuan Xia, Chunyu Wang, Zhenhui Shi, Jingbo Zhou, Chao Lu, Haifeng Huang, Hui Xiong

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity.

Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Description Generation for Points of Interest.

Meng Zhou, Jingbo Zhou, Yanjie Fu, Zhaochun Ren, Xiaoli Wang, Hui Xiong

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

CHASE: Commonsense-Enriched Advertising on Search Engine with Explicit Knowledge.

Chao Zhang, Jingbo Zhou, Xiaoling Zang, Qing Xu, Liang Yin, Xiang He, Lin Liu, Haoyi Xiong, Dejing Dou

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak.

Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Tracking Interaction States for Multi-Turn Text-to-SQL Semantic Parsing.

Runze Wang, Zhen-Hua Ling, Jingbo Zhou, Yu Hu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Exploiting User Preference and Mobile Peer Influence for Human Mobility Annotation.

Renjun Hu, Yanchi Liu, Yanyan Li, Jingbo Zhou, Shuai Ma, Hui Xiong

ACM Trans. Knowl. Discov. Data, 2020

Multi-Modal Transportation Recommendation with Unified Route Representation Learning.

Hao Liu, Jindong Han, Yanjie Fu, Jingbo Zhou, Xinjiang Lu, Hui Xiong

Proc. VLDB Endow., 2020

Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction.

Jingbo Zhou, Shuangli Li, Liang Huang, Haoyi Xiong, Fan Wang, Tong Xu, Hui Xiong, Dejing Dou

CoRR, 2020

Spatial Object Recommendation with Hints: When Spatial Granularity Matters.

Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpepper, Haochao Ying, Hao Liu, Hui Xiong

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning.

Jingbo Zhou, Zhenwei Tang, Min Zhao, Xiang Ge, Fuzhen Zhuang, Meng Zhou, Liming Zou, Chenglei Yang, Hui Xiong

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Geodemographic Influence Maximization.

Kaichen Zhang, Jingbo Zhou, Donglai Tao, Panagiotis Karras, Qing Li, Hui Xiong

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine.

Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma, Hui Xiong

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Competitive Analysis for Points of Interest.

Shuangli Li, Jingbo Zhou, Tong Xu, Hao Liu, Xinjiang Lu, Hui Xiong

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection.

Dongjie Wang, Pengyang Wang, Jingbo Zhou, Leilei Sun, Bowen Du, Yanjie Fu

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

An Adaptive Master-Slave Regularized Model for Unexpected Revenue Prediction Enhanced with Alternative Data.

Jin Xu, Jingbo Zhou, Yongpo Jia, Jian Li, Hui Xiong

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Joint Intent Detection and Entity Linking on Spatial Domain Queries.

Lei Zhang, Runze Wang, Jingbo Zhou, Jingsong Yu, Zhenhua Ling, Hui Xiong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction.

Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Collaborative Learning Framework to Tag Refinement for Points of Interest.

Jingbo Zhou, Shan Gou, Renjun Hu, Dongxiang Zhang, Jin Xu, Airong Jiang, Ying Li, Hui Xiong

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Intent-Aware Audience Targeting for Ride-Hailing Service.

Yuan Xia, Jingbo Zhou, Jingjia Cao, Yanyan Li, Fei Gao, Kun Liu, Haishan Wu, Hui Xiong

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2016

Store Location Selection via Mining Search Query Logs of Baidu Maps.

Mengwen Xu, Tianyi Wang, Zhengwei Wu, Jingbo Zhou, Jian Li, Haishan Wu

CoRR, 2016

Demand driven store site selection via multiple spatial-temporal data.

Mengwen Xu, Tianyi Wang, Zhengwei Wu, Jingbo Zhou, Jian Li, Haishan Wu

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

2013

sonSQL: An Extensible Relational DBMS for Social Network Start-Ups.

Zhifeng Bao, Jingbo Zhou, Y. C. Tay

Proceedings of the Conceptual Modeling - 32th International Conference, 2013

sonSchema: A Conceptual Schema for Social Networks.

Zhifeng Bao, Y. C. Tay, Jingbo Zhou

Proceedings of the Conceptual Modeling - 32th International Conference, 2013