Jianheng Tang

According to our database, Jianheng Tang authored at least 42 papers between 2019 and 2024.

Collaborative distances:

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

2024

Galaxybase: A High Performance Native Distributed Graph Database for HTAP.

Bing Tong, Yan Zhou, Chen Zhang, Jianheng Tang, Jing Tang, Leihong Yang, Qiye Li, Manwu Lin, Zhongxin Bao, Jia Li, Lei Chen

Proc. VLDB Endow., August, 2024

CRL-MABA: A Completion Rate Learning-Based Accurate Data Collection Scheme in Large-Scale Energy Internet.

Kejia Fan, Jianheng Tang, Wenxuan Xie, Feijiang Han, Yajiang Huang, Zhenzhe Qu, Anfeng Liu, Neal N. Xiong, Tian Wang, Shaobo Zhang

IEEE Internet Things J., July, 2024

BTV-CMAB: A Bi-Directional Trust Verification-Based Combinatorial Multiarmed Bandit Scheme for Mobile Crowdsourcing.

Jianheng Tang, Kejia Fan, Wenxuan Xie, Feijiang Han, Zhenzhe Qu, Anfeng Liu, Neal N. Xiong, Shaobo Zhang, Tian Wang

IEEE Internet Things J., January, 2024

Q-BLPP: A Quality-Enabled Bilateral Location Privacy-Preserving Service Construction Scheme in Mobile Crowd Sensing.

Jianheng Tang, Yishuo Cai, Saiqin Long, Yirui Shen, Kejia Fan, Zhetao Li, Qingyong Deng, Anfeng Liu

IEEE Trans. Serv. Comput., 2024

MAB-RP: A Multi-Armed Bandit based workers selection scheme for accurate data collection in crowdsensing.

Yuwei Lou, Jianheng Tang, Feijiang Han, Anfeng Liu, Neal N. Xiong, Shaobo Zhang, Tian Wang, Mianxiong Dong

Inf. Sci., 2024

SegACIL: Solving the Stability-Plasticity Dilemma in Class-Incremental Semantic Segmentation.

Jiaxu Li, Songning Lai, Rui Li, Di Fang, Kejia Fan, Jianheng Tang, Yuhan Zhao, Rongchang Zhao, Dongzhan Zhou, Yutao Yue, Huiping Zhuang

CoRR, 2024

UniGAD: Unifying Multi-level Graph Anomaly Detection.

Yiqing Lin, Jianheng Tang, Chenyi Zi, H. Vicky Zhao, Yuan Yao, Jia Li

CoRR, 2024

GCoder: Improving Large Language Model for Generalized Graph Problem Solving.

Qifan Zhang, Xiaobin Hong, Jianheng Tang, Nuo Chen, Yuhan Li, Wenzhong Li, Jing Tang, Jia Li

CoRR, 2024

Graph Pre-Training Models Are Strong Anomaly Detectors.

Jiashun Cheng, Zinan Zheng, Yang Liu, Jianheng Tang, Hongwei Wang, Yu Rong, Jia Li, Fugee Tsung

CoRR, 2024

TS-ACL: A Time Series Analytic Continual Learning Framework for Privacy-Preserving and Class-Incremental Pattern Recognition.

Kejia Fan, Jiaxu Li, Songning Lai, Linpu Lv, Anfeng Liu, Jianheng Tang, Houbing Herbert Song, Huiping Zhuang

CoRR, 2024

GraphArena: Benchmarking Large Language Models on Graph Computational Problems.

Jianheng Tang, Qifan Zhang, Yuhan Li, Jia Li

CoRR, 2024

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs.

Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang

CoRR, 2024

GraphWiz: An Instruction-Following Language Model for Graph Problems.

Nuo Chen, Yuhan Li, Jianheng Tang, Jia Li

CoRR, 2024

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs.

Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

GraphWiz: An Instruction-Following Language Model for Graph Computational Problems.

Nuo Chen, Yuhan Li, Jianheng Tang, Jia Li

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

Data Imputation from the Perspective of Graph Dirichlet Energy.

Weiqi Zhang, Guanlue Li, Jianheng Tang, Jia Li, Fugee Tsung

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

DeepIC3: Guiding IC3 Algorithms by Graph Neural Network Clause Prediction.

Guangyu Hu, Jianheng Tang, Changyuan Yu, Wei Zhang, Hongce Zhang

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

2023

Credit and quality intelligent learning based multi-armed bandit scheme for unknown worker selection in multimedia MCS.

Jianheng Tang, Feijiang Han, Kejia Fan, Wenxuan Xie, Pengzhi Yin, Zhenzhe Qu, Anfeng Liu, Neal N. Xiong, Shaobo Zhang, Tian Wang

Inf. Sci., November, 2023

DLFTI: A deep learning based fast truth inference mechanism for distributed spatiotemporal data in mobile crowd sensing.

Jianheng Tang, Kejia Fan, Pengzhi Yin, Zhenzhe Qu, Anfeng Liu, Neal N. Xiong, Tian Wang, Mianxiong Dong, Shaobo Zhang

Inf. Sci., October, 2023

Dictionary Learning Based Scheme for Adversarial Defense in Continuous-Variable Quantum Key Distribution.

Shimiao Li, Pengzhi Yin, Zehao Zhou, Jianheng Tang, Duan Huang, Ling Zhang

Entropy, March, 2023

Missing Data Imputation with Graph Laplacian Pyramid Network.

Weiqi Zhang, Guanlve Li, Jianheng Tang, Jia Li, Fugee Tsung

CoRR, 2023

A Semi-supervised Sensing Rate Learning based CMAB scheme to combat COVID-19 by trustful data collection in the crowd.

Jianheng Tang, Kejia Fan, Wenxuan Xie, Luomin Zeng, Feijiang Han, Guosheng Huang, Tian Wang, Anfeng Liu, Shaobo Zhang

Comput. Commun., 2023

GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection.

Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Outlier-Robust Gromov-Wasserstein for Graph Data.

Lemin Kong, Jiajin Li, Jianheng Tang, Anthony Man-Cho So

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data.

Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose H. Blanchet

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport.

Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li

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

Geometric Graph Learning for Protein Mutation Effect Prediction.

Kangfei Zhao, Yu Rong, Biaobin Jiang, Jianheng Tang, Hengtong Zhang, Jeffrey Xu Yu, Peilin Zhao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment.

Jianheng Tang, Kangfei Zhao, Jia Li

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

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder.

Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li

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

2022

Fast and Provably Convergent Algorithms for Gromov-Wasserstein in Graph Learning.

Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose H. Blanchet

CoRR, 2022

MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation.

Wenge Liu, Jianheng Tang, Yi Cheng, Wenjie Li, Yefeng Zheng, Xiaodan Liang

Proceedings of the Natural Language Processing and Chinese Computing, 2022

"My nose is running." "Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics.

Wenge Liu, Yi Cheng, Hao Wang, Jianheng Tang, Yafei Liu, Ruihui Zhao, Wenjie Li, Yefeng Zheng, Xiaodan Liang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Rethinking Graph Neural Networks for Anomaly Detection.

Jianheng Tang, Jiajin Li, Ziqi Gao, Jia Li

Proceedings of the International Conference on Machine Learning, 2022

Algae Image Classification Algorithm Based on the Improved MobileNetV2.

Ke Lin, Rusha Hao, Shihao Zhang, Jianheng Tang, Zhisong Qin

Proceedings of the 5th International Conference on Computer Science and Software Engineering, 2022

2021

Heterogeneous graph reasoning for knowledge-grounded medical dialogue system.

Wenge Liu, Jianheng Tang, Xiaodan Liang, Qingling Cai

Neurocomputing, 2021

Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks.

Jinghui Qin, Xiaodan Liang, Yining Hong, Jianheng Tang, Liang Lin

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning.

Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, Liang Lin

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation.

Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin

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

2020

MedDG: A Large-scale Medical Consultation Dataset for Building Medical Dialogue System.

Wenge Liu, Jianheng Tang, Jinghui Qin, Lin Xu, Zhen Li, Xiaodan Liang

CoRR, 2020

Dynamic Knowledge Routing Network for Target-Guided Open-Domain Conversation.

Jinghui Qin, Zheng Ye, Jianheng Tang, Xiaodan Liang

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

2019

Target-Guided Open-Domain Conversation.

Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis.

Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019