Jiajun Bu

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 142

Top Venues

Publications

Hui Fang, Zhu Xiao, Pengfei Zheng, Hongyang Chen, Zhao Li, Jiajun Bu, Haishuai Wang
Learning Co-occurrence Patterns for Next Destination Recommendation. IEEE Trans. Mob. Comput. 23 (6) (2024)
Xiaojun Ye, Junhao Chen, Xiang Li, Haidong Xin, Chao Li, Sheng Zhou, Jiajun Bu
MMAD: Multi-modal Movie Audio Description. LREC/COLING (2024)
Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou, Xin Wang, Jiajun Bu
Rethinking Propagation for Unsupervised Graph Domain Adaptation. CoRR (2024)
Shuyi Zhang, Ke Liu, Jingjun Gu, Xiaoxu Cai, Zhi-Hua Wang, Jiajun Bu, Haishuai Wang
Attention Beats Linear for Fast Implicit Neural Representation Generation. CoRR (2024)
Chunpeng Zhou, Haishuai Wang, Xilu Yuan, Zhi Yu, Jiajun Bu
Less is More : A Closer Look at Multi-Modal Few-Shot Learning. CoRR (2024)
Xiaoxu Cai, Jianwen Lou, Jiajun Bu, Junyu Dong, Haishuai Wang, Hui Yu
Single depth image 3D face reconstruction via domain adaptive learning. Frontiers Comput. Sci. 18 (1) (2024)
Zhuonan Zheng, Sheng Zhou, Hongjia Xu, Ming Gu, Yilun Xu, Ao Li, Yuhong Li, Jingjun Gu, Jiajun Bu
Heterophilous Distribution Propagation for Graph Neural Networks. CoRR (2024)
Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. ICDE (2024)
Yufan Shen, Chuwei Luo, Zhaoqing Zhu, Yang Chen, Qi Zheng, Zhi Yu, Jiajun Bu, Cong Yao
ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data. CoRR (2024)
Meihan Liu, Zhen Zhang, Jiachen Tang, Jiajun Bu, Bingsheng He, Sheng Zhou
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation. CoRR (2024)
Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou, Xin Wang, Jiajun Bu
Rethinking Propagation for Unsupervised Graph Domain Adaptation. AAAI (2024)
Zhipeng Hu, Jilin Tang, Lincheng Li, Jie Hou, Haoran Xin, Xin Yu, Jiajun Bu
MarkerNet: A divide-and-conquer solution to motion capture solving from raw markers. Comput. Animat. Virtual Worlds 35 (1) (2024)
Xin Jie, Xixi Zhou, Chanfei Su, Zijun Zhou, Yuqing Yuan, Jiajun Bu, Haishuai Wang
Disentangled Anomaly Detection For Multivariate Time Series. WWW (Companion Volume) (2024)
Jingru Li, Sheng Zhou, Liangcheng Li, Haishuai Wang, Jiajun Bu, Zhi Yu
AdaDFKD: Exploring adaptive inter-sample relationship in data-free knowledge distillation. Neural Networks 177 (2024)
Zirui Shao, Feiyu Gao, Hangdi Xing, Zepeng Zhu, Zhi Yu, Jiajun Bu, Qi Zheng, Cong Yao
WebRPG: Automatic Web Rendering Parameters Generation for Visual Presentation. CoRR (2024)
Xixi Zhou, Xin Jie, Sheng Zhou, Keyue Shi, Zhi Yu, Jiajun Bu, Haishuai Wang
Inversive-Reasoning Augmentation for Natural Language Inference. ICASSP (2024)
Yuanchen Bei, Sheng Zhou, Jinke Shi, Yao Ma, Haishuai Wang, Jiajun Bu
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection. CoRR (2024)
Zhen Zhang, Meihan Liu, Anhui Wang, Hongyang Chen, Zhao Li, Jiajun Bu, Bingsheng He
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation. CoRR (2024)
Zhonghao Wang, Danyu Sun, Sheng Zhou, Haobo Wang, Jiapei Fan, Longtao Huang, Jiajun Bu
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise. CoRR (2024)
Hongjia Xu, Liangliang Zhang, Yao Ma, Sheng Zhou, Zhuonan Zheng, Jiajun Bu
A Survey on Graph Condensation. CoRR (2024)
Xixi Zhou, Yang Gao, Xin Jie, Xiaoxu Cai, Jiajun Bu, Haishuai Wang
EASE-DR: Enhanced Sentence Embeddings for Dense Retrieval. SIGIR (2024)
Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu
Towards a Unified Framework of Clustering-based Anomaly Detection. CoRR (2024)
Chengyu Lai, Sheng Zhou, Zhimeng Jiang, Qiaoyu Tan, Yuanchen Bei, Jiawei Chen, Ningyu Zhang, Jiajun Bu
Better Late Than Never: Formulating and Benchmarking Recommendation Editing. CoRR (2024)
Meihan Liu, Zhen Zhang, Ning Ma, Ming Gu, Haishuai Wang, Sheng Zhou, Jiajun Bu
Structure enhanced prototypical alignment for unsupervised cross-domain node classification. Neural Networks 177 (2024)
Zhuonan Zheng, Yuanchen Bei, Sheng Zhou, Yao Ma, Ming Gu, Hongjia Xu, Chengyu Lai, Jiawei Chen, Jiajun Bu
Revisiting the Message Passing in Heterophilous Graph Neural Networks. CoRR (2024)
Zhen Zhang, Meihan Liu, Anhui Wang, Hongyang Chen, Zhao Li, Jiajun Bu, Bingsheng He
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation. WWW (2024)
Ke Liu, Ning Ma, Zhihua Wang, Jingjun Gu, Jiajun Bu, Haishuai Wang
Implicit Neural Distance Optimization for Mesh Neural Subdivision. ICME (2023)
Hangdi Xing, Feiyu Gao, Rujiao Long, Jiajun Bu, Qi Zheng, Liangcheng Li, Cong Yao, Zhi Yu
LORE: Logical Location Regression Network for Table Structure Recognition. AAAI (2023)
Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. CoRR (2023)
Zirui Shao, Feiyu Gao, Zhongda Qi, Hangdi Xing, Jiajun Bu, Zhi Yu, Qi Zheng, Xiaozhong Liu
GEM: Gestalt Enhanced Markup Language Model for Web Understanding via Render Tree. EMNLP (2023)
Jingru Li, Sheng Zhou, Liangcheng Li, Haishuai Wang, Jiajun Bu, Zhi Yu
Dynamic data-free knowledge distillation by easy-to-hard learning strategy. Inf. Sci. 642 (2023)
Chunpeng Zhou, Kangjie Ning, Haishuai Wang, Zhi Yu, Sheng Zhou, Jiajun Bu
Multi-View Fusion and Distillation for Subgrade Distresses Detection based on 3D-GPR. CoRR (2023)
Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu
Homophily-enhanced Structure Learning for Graph Clustering. CoRR (2023)
Chengxi Li, Kai Fan, Jiajun Bu, Boxing Chen, Zhongqiang Huang, Zhi Yu
Translate the Beauty in Songs: Jointly Learning to Align Melody and Translate Lyrics. CoRR (2023)
Ke Liu, Feng Liu, Haishuai Wang, Ning Ma, Jiajun Bu, Bo Han
Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis. CoRR (2023)
Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu
Homophily-enhanced Structure Learning for Graph Clustering. CIKM (2023)
Xiating Jin, Jiajun Bu, Zhi Yu, Hui Zhang, Yaonan Wang
FedCrack: Federated Transfer Learning With Unsupervised Representation for Crack Detection. IEEE Trans. Intell. Transp. Syst. 24 (10) (2023)
Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Zhao Li, Chengwei Yao, Huifen Dai, Zhi Yu, Can Wang
Hierarchical Multi-View Graph Pooling With Structure Learning. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Chunpeng Zhou, Haishuai Wang, Sheng Zhou, Zhi Yu, Danushka Bandara, Jiajun Bu
Hierarchical Knowledge Propagation and Distillation for Few-Shot Learning. Neural Networks 167 (2023)
Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. ICDM (2023)
Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. CoRR (2023)
Ning Ma, Haishuai Wang, Zhen Zhang, Sheng Zhou, Hongyang Chen, Jiajun Bu
Source-free semi-supervised domain adaptation via progressive Mixup. Knowl. Based Syst. 262 (2023)
Ke Liu, Feng Liu, Haishuai Wang, Ning Ma, Jiajun Bu, Bo Han
Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis. ICCV (2023)
Hangdi Xing, Feiyu Gao, Rujiao Long, Jiajun Bu, Qi Zheng, Liangcheng Li, Cong Yao, Zhi Yu
LORE: Logical Location Regression Network for Table Structure Recognition. CoRR (2023)
Linlin Zhang, Kai Fan, Jiajun Bu, Zhongqiang Huang
Training Simultaneous Speech Translation with Robust and Random Wait-k-Tokens Strategy. EMNLP (2023)
Chengxi Li, Kai Fan, Jiajun Bu, Boxing Chen, Zhongqiang Huang, Zhi Yu
Translate the Beauty in Songs: Jointly Learning to Align Melody and Translate Lyrics. EMNLP (Findings) (2023)
Haishuai Wang, Yang Gao, Xin Zheng, Peng Zhang, Hongyang Chen, Jiajun Bu
Graph Neural Architecture Search with GPT-4. CoRR (2023)
Xixi Zhou, Jiajun Bu, Sheng Zhou, Zhi Yu, Ji Zhao, Xifeng Yan
Improving topic disentanglement via contrastive learning. Inf. Process. Manag. 60 (2) (2023)
Sheng Zhou, Hongjia Xu, Zhuonan Zheng, Jiawei Chen, Zhao Li, Jiajun Bu, Jia Wu, Xin Wang, Wenwu Zhu, Martin Ester
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions. CoRR (2022)
Jingru Li, Sheng Zhou, Liangcheng Li, Xifeng Yan, Zhi Yu, Jiajun Bu
How to Teach: Learning Data-Free Knowledge Distillation from Curriculum. CoRR (2022)
Ning Ma, Hongyi Zhang, Xuhui Li, Sheng Zhou, Zhen Zhang, Jun Wen, Haifeng Li, Jingjun Gu, Jiajun Bu
Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition. ECCV (4) (2022)
Ning Ma, Jiajun Bu, Lixian Lu, Jun Wen, Sheng Zhou, Zhen Zhang, Jingjun Gu, Haifeng Li, Xifeng Yan
Context-guided entropy minimization for semi-supervised domain adaptation. Neural Networks 154 (2022)
Chunbin Gu, Jiajun Bu, Xixi Zhou, Chengwei Yao, Dongfang Ma, Zhi Yu, Xifeng Yan
Cross-modal image retrieval with deep mutual information maximization. Neurocomputing 496 (2022)
Dian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu
Hilbert Distillation for Cross-Dimensionality Networks. NeurIPS (2022)
Dian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu
Hilbert Distillation for Cross-Dimensionality Networks. CoRR (2022)
Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu
Cyclic label propagation for graph semi-supervised learning. World Wide Web 25 (2) (2022)
Sheng Zhou, Xin Wang, Martin Ester, Bolang Li, Chen Ye, Zhen Zhang, Can Wang, Jiajun Bu
Direction-Aware User Recommendation Based on Asymmetric Network Embedding. ACM Trans. Inf. Syst. 40 (2) (2022)
Chunbin Gu, Jiajun Bu, Zhen Zhang, Zhi Yu, Dongfang Ma, Wei Wang
Image Search with Text Feedback by Deep Hierarchical Attention Mutual Information Maximization. ACM Multimedia (2021)
Chun Yu, Jiajun Bu
The practice of applying AI to benefit visually impaired people in China. Commun. ACM 64 (11) (2021)
Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu
Distilling Holistic Knowledge with Graph Neural Networks. ICCV (2021)
Shen Xin, Zhao Li, Pengcheng Zou, Cheng Long, Jie Zhang, Jiajun Bu, Jingren Zhou
ATNN: Adversarial Two-Tower Neural Network for New Item's Popularity Prediction in E-commerce. ICDE (2021)
Ning Ma, Jiajun Bu, Lixian Lu, Jun Wen, Zhen Zhang, Sheng Zhou, Xifeng Yan
Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation. CoRR (2021)
Haishuai Wang, Zhao Li, Xuanwu Liu, Donghui Ding, Zehong Hu, Peng Zhang, Chuan Zhou, Jiajun Bu
Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation. CIKM (2021)
Haishuai Wang, Zhao Li, Peng Zhang, Jiaming Huang, Pengrui Hui, Jian Liao, Ji Zhang, Jiajun Bu
Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach. KDD (2021)
Zhen Zhang, Jiajun Bu, Zhao Li, Chengwei Yao, Can Wang, Jia Wu
TigeCMN: On exploration of temporal interaction graph embedding via Coupled Memory Neural Networks. Neural Networks 140 (2021)
Borui Li, Wei Dong, Gaoyang Guan, Jiadong Zhang, Tao Gu, Jiajun Bu, Yi Gao
Queec: QoE-aware Edge Computing for IoT Devices under Dynamic Workloads. ACM Trans. Sens. Networks 17 (3) (2021)
Chengxi Li, Feiyu Gao, Jiajun Bu, Lu Xu, Xiang Chen, Yu Gu, Zirui Shao, Qi Zheng, Ningyu Zhang, Yongpan Wang, Zhi Yu
SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis. CoRR (2021)
Dian Qin, Jiajun Bu, Zhe Liu, Xin Shen, Sheng Zhou, Jingjun Gu, Zhijua Wang, Lei Wu, Huifen Dai
Efficient Medical Image Segmentation Based on Knowledge Distillation. IEEE Trans. Medical Imaging 40 (12) (2021)
Zhen Zhang, Jiajun Bu, Martin Ester, Zhao Li, Chengwei Yao, Zhi Yu, Can Wang
H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks. KDD (2021)
Ning Ma, Jiajun Bu, Zhen Zhang, Sheng Zhou
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data. CoRR (2021)
Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu
Distilling Holistic Knowledge with Graph Neural Networks. CoRR (2021)
Dian Qin, Jiajun Bu, Zhe Liu, Xin Shen, Sheng Zhou, Jingjun Gu, Zhijua Wang, Lei Wu, Huifen Dai
Efficient Medical Image Segmentation Based on Knowledge Distillation. CoRR (2021)
Chunbin Gu, Jiajun Bu, Xixi Zhou, Chengwei Yao, Dongfang Ma, Zhi Yu, Xifeng Yan
Cross-modal Image Retrieval with Deep Mutual Information Maximization. CoRR (2021)
Gaoyang Guan, Borui Li, Yi Gao, Yuxuan Zhang, Jiajun Bu, Wei Dong
TinyLink 2.0: integrating device, cloud, and client development for IoT applications. MobiCom (2020)
Zhi Yu, Jiajun Bu, Chao Shen, Wei Wang, Lianjun Dai, Qin Zhou, Chuanwu Zhao
A Multi-site Collaborative Sampling for Web Accessibility Evaluation. ICCHP (1) (2020)
Zhao Li, Xin Shen, Yuhang Jiao, Xuming Pan, Pengcheng Zou, Xianling Meng, Chengwei Yao, Jiajun Bu
Hierarchical Bipartite Graph Neural Networks: Towards Large-Scale E-commerce Applications. ICDE (2020)
Ning Ma, Jiajun Bu, Jieyu Yang, Zhen Zhang, Chengwei Yao, Zhi Yu
Few-Shot Graph Classification with Model Agnostic Meta-Learning. CoRR (2020)
Xixi Zhou, Chengxi Li, Jiajun Bu, Chengwei Yao, Keyue Shi, Zhi Yu, Zhou Yu
Matching Text with Deep Mutual Information Estimation. CoRR (2020)
Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang
DGE: Deep Generative Network Embedding Based on Commonality and Individuality. AAAI (2020)
Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhao Li, Can Wang
Learning Temporal Interaction Graph Embedding via Coupled Memory Networks. WWW (2020)
Ning Ma, Jiajun Bu, Jieyu Yang, Zhen Zhang, Chengwei Yao, Zhi Yu, Sheng Zhou, Xifeng Yan
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification. CIKM (2020)
Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu
Cyclic Label Propagation for Graph Semi-supervised Learning. CoRR (2020)
Liangcheng Li, Feiyu Gao, Jiajun Bu, Yongpan Wang, Zhi Yu, Qi Zheng
An End-to-End OCR Text Re-organization Sequence Learning for Rich-Text Detail Image Comprehension. ECCV (25) (2020)
Zhi Yu, Jiajun Bu, Sijie Li, Wei Wang, Lizhen Tang, Chuanwu Zhao
Research on Book Recommendation System for People with Visual Impairment Based on Fusion of Preference and User Attention. ICCHP (1) (2020)
Sheng Zhou, Jiajun Bu, Zhen Zhang, Can Wang, Lingzhou Ma, Jianfeng Zhang
Cross Multi-Type Objects Clustering in Attributed Heterogeneous Information Network. Knowl. Based Syst. 194 (2020)
Yue Wu, Can Wang, Yue-qing Zhang, Jiajun Bu
Unsupervised feature selection via joint local learning and group sparse regression. Frontiers Inf. Technol. Electron. Eng. 20 (4) (2019)
Sheng Zhou, Jiajun Bu, Xin Wang, Jiawei Chen, Bingbing Hu, Defang Chen, Can Wang
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding. CoRR (2019)
Gaoyang Guan, Yuxuan Zhang, Borui Li, Wei Dong, Yi Gao, Jiajun Bu
Demo: Integrated Development of IoT Applications with OneLink. EWSN (2019)
Gaoyang Guan, Wei Dong, Jiadong Zhang, Yi Gao, Tao Gu, Jiajun Bu
Queec: QoE-aware edge computing for complex IoT event processing under dynamic workloads. ACM TUR-C (2019)
Zhi Yu, Jiajun Bu, Chunbin Gu, Shuyi Song, Liangcheng Li
EagleQR: An Application in Accessing Printed Text for the Elderly and Low Vision People. Big Data (CCF) (2019)
Chunbin Gu, Jiajun Bu, Keyue Shi, Zhi Yu, Beidou Wang, Liangcheng Li
Local Metric Learning Based on Anchor Points for Multimedia Analysis. ICME (2019)
Yihui Wang, Gonglong Chen, Jiajun Bu, Wei Dong
MoRa: A LoRa-Based System for Timely and Energy-Efficient e-Price Tag Update in Markets. ICPADS (2019)
Shen Xin, Martin Ester, Jiajun Bu, Chengwei Yao, Zhao Li, Xun Zhou, Yizhou Ye, Can Wang
Multi-task based Sales Predictions for Online Promotions. CIKM (2019)
Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhi Yu, Can Wang
Hierarchical Graph Pooling with Structure Learning. CoRR (2019)
Beidou Wang, Xin Guo, Martin Ester, Ziyu Guan, Bandeep Singh, Yu Zhu, Jiajun Bu, Deng Cai
Device-Aware Rule Recommendation for the Internet of Things. CIKM (2018)
Shuyi Song, Jiajun Bu, Chengchao Shen, Andreas Artmeier, Zhi Yu, Qin Zhou
Reliability Aware Web Accessibility Experience Metric. W4A (2018)
Chenhong Cao, Yi Gao, Wei Dong, Jiajun Bu
Accurate per-link loss tomography in dynamic sensor networks. Comput. Networks 139 (2018)
Yue Wu, Zhi Yu, Liangcheng Li, Wei Wang, Jiajun Bu, Yueqing Zhang, Lianjun Dai
Using Semi-supervised Group Sparse Regression to Improve Web Accessibility Evaluation. ICCHP (1) (2018)
Sheng Zhou, Hongxia Yang, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jianwei Zhang, Can Wang
PRRE: Personalized Relation Ranking Embedding for Attributed Networks. CIKM (2018)
Chunbin Gu, Jiajun Bu, Shuyi Song, Zhi Yu, Liangcheng Li, Meng Han, Lizhen Tang
China's Efforts to Information Service for Visual-Impaired People. ICCHP (2) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jiajun Bu