Prediction-based fast thermoelectric generator reconfiguration for energy harvesting from vehicle radiators. - Hanchen Yang; Feiyang Kang; Caiwen Ding; Ji Li 006; Jaemin Kim; Donkyu Baek; Shahin Nazarian; Xue Lin 001; Paul Bogdan; Naehyuck Chang (DATE, 2018)

On Evaluating the Predictability of Sea Surface Temperature Using Entropy. - Chang Jin; Han Peng; Hanchen Yang; Wengen Li; Jihong Guan (Remote. Sens., 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., 2023)

Inductive Spatial Temporal Prediction Under Data Drift with Informative Graph Neural Network. - Jialun Zheng; Divya Saxena; Jiannong Cao 001; Hanchen Yang; Penghui Ruan (DASFAA (1), 2024)

H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations. - Zishen Wan; Che-Kai Liu; Mohamed Ibrahim 002; Hanchen Yang; Samuel Spetalnick; Tushar Krishna; Arijit Raychowdhury (DATE, 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 005; Ananda Samajdar; Yingyan Celine Lin; Tushar Krishna; Arijit Raychowdhury (ISPASS, 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 005; Tushar Krishna; Yingyan Lin; Arijit Raychowdhury (CoRR, 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 005; Sixu Li; Youbin Kim; Ananda Samajdar; Yingyan Celine Lin; et al. (CoRR, 2024)

UniOcean: A Unified Framework for Predicting Multiple Ocean Factors of Varying Temporal Scales. - Hanchen Yang; Yuwei Chen; Jiannong Cao 001; Wengen Li; Yu Yang 012; Shuyu Wang; Jihong Guan; Rufu Qin; Shuigeng Zhou (IEEE Trans. Geosci. Remote. Sens., 2024)

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 (HPCA, 2025)

CausalFormer: An Interpretable Transformer for Temporal Causal Discovery (Extended Abstract). - Lingbai Kong; Wengen Li; Hanchen Yang; Yichao Zhang 001; Jihong Guan; Shuigeng Zhou (ICDE, 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 (NeuS, 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 001; Rufu Qin; Shuigeng Zhou (IEEE Trans. Geosci. Remote. Sens., 2025)

SH_Traffic. - Lingbai Kong; Hanchen Yang; Wengen Li; Yichao Zhang 001; Jihong Guan; Shuigeng Zhou (IEEE DataPort, 2025)

CausalFormer: An Interpretable Transformer for Temporal Causal Discovery. - Lingbai Kong; Wengen Li; Hanchen Yang; Yichao Zhang 001; Jihong Guan; Shuigeng Zhou (IEEE Trans. Knowl. Data Eng., 2025)

Traffexplainer: A Framework Toward GNN-Based Interpretable Traffic Prediction. - Lingbai Kong; Hanchen Yang; Wengen Li; Yichao Zhang 001; Jihong Guan; Shuigeng Zhou (IEEE Trans. Artif. Intell., 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, 2025)

DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes. - Jialun Zheng; Jie Liu; Jiannong Cao 001; Xiao Wang; Hanchen Yang; Yankai Chen 005; Philip S. Yu (CoRR, 2025)

OKG-LLM: Aligning Ocean Knowledge Graph with Observation Data via LLMs for Global Sea Surface Temperature Prediction. - Hanchen Yang; Jiaqi Wang; Jiannong Cao 001; Wengen Li; Jialun Zheng; Yangning Li; Chunyu Miao; Jihong Guan; Shuigeng Zhou; Philip S. Yu (CoRR, 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, 2025)

Cross-Region Graph Convolutional Network with Periodicity Shift Adaptation for Wide-Area SST Prediction. - Han Peng; Wengen Li; Chang Jin; Yichao Zhang 001; Jihong Guan; Hanchen Yang; Shuigeng Zhou (ACM Trans. Intell. Syst. Technol., 2025)

Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies and Opportunities. - Hanchen Yang; Jiannong Cao 001; Wengen Li; Shuyu Wang; Hui Li; Jihong Guan; Shuigeng Zhou (ACM Trans. Knowl. Discov. Data, 2025)