Chunjiang Zhu - RankMe

31 papers A* 6A 3Journal 17Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fully Adaptive Multiscale Spatial-Temporal Recurrent Networks for Traffic Flow Prediction. IEEE Trans. Artif. Intell. Haiyang Liu, Chunjiang Zhu, Detian Zhang, Qing Li
2025	A	`conf`	Adversarially Attacking Graph Properties and Sparsification in Graph Learning. CIKM Chunjiang Zhu, Blake Gaines, Jing Deng, Jinbo Bi
2025	J	`jnl`	DSTAN: attention-enhanced dynamic spatial-temporal network for traffic forecasting. World Wide Web (WWW) Xunlian Luo, Chunjiang Zhu, Detian Zhang, Qing Li
2025	J	`jnl`	Explaining Graph Neural Networks with mixed-integer programming. Neurocomputing Blake B. Gaines, Chunjiang Zhu, Jinbo Bi
2025	J	`jnl`	Finding the Maximum Density Path Within Constrained Length in a Graph. IEEE Trans. Intell. Transp. Syst. Detian Zhang, Hongwei Tang, Chunjiang Zhu, Qing Li
2025	A*	`conf`	Improved Expressivity of Hypergraph Neural Networks through High-Dimensional Generalized Weisfeiler-Leman Algorithms. ICML Detian Zhang, Chengqiang Zhang, Yanghui Rao, Li Qing, Chunjiang Zhu
2025	J	`jnl`	MVLevelDB ACM Trans. Embed. Comput. Syst. Kam-yiu Lam, Xiaofei Zhao, Chunjiang Zhu, Tei-Wei Kuo
2025	A*	`conf`	Neural Topic Modeling via Contextual and Graph Information Fusion. EMNLP Jiyuan Liu, Jiaxing Yan, Chunjiang Zhu, Xingyu Liu, Li Qing, Yanghui Rao
2025	J	`jnl`	Sublinear Edge Fault Tolerant Spanners for Hypergraphs. CoRR Jialin He, Nicholas Popescu, Chunjiang Zhu
2025	J	`jnl`	Supervised Neural Topic Modeling with Label Alignment. Trans. Assoc. Comput. Linguistics Ruihao Chen, Hegang Chen, Yuyin Lu, Yanghui Rao, Chunjiang Zhu
2024	—	`conf`	Density-Preserving Heterogeneous Graph Sparsification for Representation Learning. Tiny Papers @ ICLR Srilekha Geda, Chunjiang Zhu
2024	—	`conf`	Differentially Private Counting Queries on Approximate Shortest Paths. COCOA (1) Jesse Campbell, Chunjiang Zhu
2024	J	`jnl`	Global-Aware Enhanced Spatial-Temporal Graph Recurrent Networks: A New Framework For Traffic Flow Prediction. CoRR Haiyang Liu, Chunjiang Zhu, Detian Zhang
2024	A*	`conf`	Multi-Granularity History and Entity Similarity Learning for Temporal Knowledge Graph Reasoning. EMNLP Shi Mingcong, Chunjiang Zhu, Detian Zhang, Shiting Wen, Qing Li
2024	—	`conf`	Unsupervised Hierarchical Topic Modeling via Anchor Word Clustering and Path Guidance. EMNLP (Findings) Jiyuan Liu, Hegang Chen, Chunjiang Zhu, Yanghui Rao
2023	—	`conf`	Attention-Based Spatial-Temporal Graph Convolutional Recurrent Networks for Traffic Forecasting. ADMA (1) Haiyang Liu, Chunjiang Zhu, Detian Zhang, Qing Li
2023	J	`jnl`	Attention-based Spatial-Temporal Graph Convolutional Recurrent Networks for Traffic Forecasting. CoRR Haiyang Liu, Chunjiang Zhu, Detian Zhang, Qing Li
2023	J	`jnl`	Dynamic Graph Convolution Network with Spatio-Temporal Attention Fusion for Traffic Flow Prediction. CoRR Xunlian Luo, Chunjiang Zhu, Detian Zhang, Qing Li
2023	A	`conf`	Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction. ECAI Xunlian Luo, Chunjiang Zhu, Detian Zhang, Qing Li
2023	A	`conf`	Efficient Optimal Pick-up and Drop-off Point Recommendation for Ride-hailing Services. ICWS Detian Zhang, Lun Jin, Chunjiang Zhu, Qing Li
2023	—	`conf`	Improved Sourcewise Roundtrip Spanners with Constant Stretch. COCOON (1) Eli Stafford, Chunjiang Zhu
2023	J	`jnl`	Multi-Scale Spatial-Temporal Recurrent Networks for Traffic Flow Prediction. CoRR Haiyang Liu, Chunjiang Zhu, Detian Zhang, Qing Li
2023	J	`jnl`	STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction. CoRR Xunlian Luo, Chunjiang Zhu, Detian Zhang, Qing Li
2022	J	`jnl`	MVLevelDB: Using Log-Structured Tree to Support Temporal Queries in IoT. IEEE Internet Things J. Xiaofei Zhao, Kam-yiu Lam, Chunjiang Zhu, Chi-Yin Chow, Tei-Wei Kuo
2021	A*	`conf`	An Efficient Algorithm for Deep Stochastic Contextual Bandits. AAAI Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi
2021	J	`jnl`	An Efficient Algorithm for Deep Stochastic Contextual Bandits. CoRR Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi
2021	J	`jnl`	Asynchronous parallel stochastic Quasi-Newton methods. Parallel Comput. Qianqian Tong, Guannan Liang, Xingyu Cai, Chunjiang Zhu, Jinbo Bi
2021	J	`jnl`	Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods. CoRR Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi
2021	A*	`conf`	Spectral vertex sparsifiers and pair-wise spanners over distributed graphs. ICML Chunjiang Zhu, Qinqing Liu, Jinbo Bi
2020	A*	`conf`	An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning. AAAI Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi
2020	J	`jnl`	Asynchronous Parallel Stochastic Quasi-Newton Methods. CoRR Qianqian Tong, Guannan Liang, Xingyu Cai, Chunjiang Zhu, Jinbo Bi