Automated Molecular Concept Generation and Labeling with Large Language Models.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Generalized Group Data Attribution.
CoRR, 2024
Hierarchical Compression of Text-Rich Graphs via Large Language Models.
CoRR, 2024
Self-Control of LLM Behaviors by Compressing Suffix Gradient into Prefix Controller.
CoRR, 2024
Efficient Ensembles Improve Training Data Attribution.
CoRR, 2024
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning.
CoRR, 2024
Laplacian Score Benefit Adaptive Filter Selection for Graph Neural Networks.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware.
CoRR, 2023
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction.
Proceedings of the ACM Web Conference 2023, 2023
Linkless Link Prediction via Relational Distillation.
Proceedings of the International Conference on Machine Learning, 2023
Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games.
CoRR, 2022
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Graph Condensation for Graph Neural Networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Research on Recommendation Algorithm Based on Collaborative Filtering.
Proceedings of the ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems, Chongqing, China, May 28, 2021
Multimedia based risk forecasting model for frequent natural disasters.
Multim. Tools Appl., 2020
Prediction of Chronic Diseases in Elderly Based on Boltzmann Machine.
J. Medical Imaging Health Informatics, 2020
Motif-Driven Contrastive Learning of Graph Representations.
CoRR, 2020
Thread: Towards fine-grained precision reconfiguration in variable-precision neural network accelerator.
IEICE Electron. Express, 2019
FSNet: A Target Detection Algorithm Based on a Fusion Shared Network.
IEEE Access, 2019
Implementing a SoC-FPGA Based Acceleration System for On-Board SVM Training for Robotic Transtibial Prostheses.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2018
Concept and Prototype Design of an Underwater Soft Exoskeleton.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2018
Performance analysis of hardware acceleration for locomotion mode recognition in robotic prosthetic control.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2018
Characters of Frequency Response in a Coaxial Bragg Structure with Tapered Ripples.
Proceedings of the Second International Symposium on Intelligent Information Technology and Security Informatics, 2009