Hanchen Yang

According to our database, Hanchen Yang authored at least 22 papers between 2018 and 2025.

Collaborative distances:

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

2025

Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies and Opportunities.

Hanchen Yang, Jiannong Cao, Wengen Li, Shuyu Wang, Hui Li, Jihong Guan, Shuigeng Zhou

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

Cross-Region Graph Convolutional Network with Periodicity Shift Adaptation for Wide-Area SST Prediction.

Han Peng, Wengen Li, Chang Jin, Yichao Zhang, Jihong Guan, Hanchen Yang, Shuigeng Zhou

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

Architecting Long-Context LLM Acceleration with Packing-Prefetch Scheduler and Ultra-Large Capacity On-Chip Memories.

Ming-Yen Lee, Faaiq Waqar, Hanchen Yang, Muhammed Ahosan Ul Karim, Harsono Simka, Shimeng Yu

CoRR, August, 2025

OKG-LLM: Aligning Ocean Knowledge Graph with Observation Data via LLMs for Global Sea Surface Temperature Prediction.

Hanchen Yang, Jiaqi Wang, Jiannong Cao, Wengen Li, Jialun Zheng, Yangning Li, Chunyu Miao, Jihong Guan, Shuigeng Zhou, Philip S. Yu

CoRR, August, 2025

DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes.

Jialun Zheng, Jie Liu, Jiannong Cao, Xiao Wang, Hanchen Yang, Yankai Chen, Philip S. Yu

CoRR, August, 2025

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI.

Hanchen Yang, Zishen Wan, Ritik Raj, Joongun Park, Ziwei Li, Ananda Samajdar, Arijit Raychowdhury, Tushar Krishna

CoRR, April, 2025

Traffexplainer: A Framework Toward GNN-Based Interpretable Traffic Prediction.

Lingbai Kong, Hanchen Yang, Wengen Li, Yichao Zhang, Jihong Guan, Shuigeng Zhou

IEEE Trans. Artif. Intell., March, 2025

CausalFormer: An Interpretable Transformer for Temporal Causal Discovery.

Lingbai Kong, Wengen Li, Hanchen Yang, Yichao Zhang, Jihong Guan, Shuigeng Zhou

IEEE Trans. Knowl. Data Eng., January, 2025

SH_Traffic.

Lingbai Kong, Hanchen Yang, Wengen Li, Yichao Zhang, Jihong Guan, Shuigeng Zhou

Dataset, January, 2025

LLM4HRS: LLM-Based Spatiotemporal Imputation Model for Highly Sparse Remote Sensing Data.

Shuyu Wang, Wengen Li, Hanchen Yang, Jihong Guan, Xiwei Liu, Yichao Zhang, Rufu Qin, Shuigeng Zhou

IEEE Trans. Geosci. Remote. Sens., 2025

Efficient Processing of Neuro-Symbolic AI: A Tutorial and Cross-Layer Co-Design Case Study.

Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Arijit Raychowdhury, Tushar Krishna

Proceedings of the International Conference on Neuro-symbolic Systems, 2025

CausalFormer: An Interpretable Transformer for Temporal Causal Discovery (Extended Abstract).

Lingbai Kong, Wengen Li, Hanchen Yang, Yichao Zhang, Jihong Guan, Shuigeng Zhou

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

CogSys: Efficient and Scalable Neurosymbolic Cognition System via Algorithm-Hardware Co-Design.

Zishen Wan, Hanchen Yang, Ritik Raj, Che-Kai Liu, Ananda Samajdar, Arijit Raychowdhury, Tushar Krishna

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

2024

UniOcean: A Unified Framework for Predicting Multiple Ocean Factors of Varying Temporal Scales.

Hanchen Yang, Yuwei Chen, Jiannong Cao, Wengen Li, Yu Yang, Shuyu Wang, Jihong Guan, Rufu Qin, Shuigeng Zhou

IEEE Trans. Geosci. Remote. Sens., 2024

Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture.

Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Sixu Li, Youbin Kim, Ananda Samajdar, Yingyan Celine Lin, Mohamed Ibrahim, Jan M. Rabaey, Tushar Krishna, Arijit Raychowdhury

CoRR, 2024

Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI.

Zishen Wan, Che-Kai Liu, Hanchen Yang, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Tushar Krishna, Yingyan Lin, Arijit Raychowdhury

CoRR, 2024

Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI.

Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Ananda Samajdar, Yingyan Celine Lin, Tushar Krishna, Arijit Raychowdhury

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2024

H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations.

Zishen Wan, Che-Kai Liu, Mohamed Ibrahim, Hanchen Yang, Samuel Spetalnick, Tushar Krishna, Arijit Raychowdhury

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Inductive Spatial Temporal Prediction Under Data Drift with Informative Graph Neural Network.

Jialun Zheng, Divya Saxena, Jiannong Cao, Hanchen Yang, Penghui Ruan

Proceedings of the Database Systems for Advanced Applications, 2024

2023

HiGRN: A Hierarchical Graph Recurrent Network for Global Sea Surface Temperature Prediction.

Hanchen Yang, Wengen Li, Siyun Hou, Jihong Guan, Shuigeng Zhou

ACM Trans. Intell. Syst. Technol., August, 2023

On Evaluating the Predictability of Sea Surface Temperature Using Entropy.

Chang Jin, Han Peng, Hanchen Yang, Wengen Li, Jihong Guan

Remote. Sens., April, 2023

2018

Prediction-based fast thermoelectric generator reconfiguration for energy harvesting from vehicle radiators.

Hanchen Yang, Feiyang Kang, Caiwen Ding, Ji Li, Jaemin Kim, Donkyu Baek, Shahin Nazarian, Xue Lin, Paul Bogdan, Naehyuck Chang

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018