TWLV-I: Analysis and Insights from Holistic Evaluation on Video Foundation Models.
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CoRR, 2024
Efficient Tensor Offloading for Large Deep-Learning Model Training based on Compute Express Link.
Proceedings of the International Conference for High Performance Computing, 2024
Are Your Epochs Too Epic? Batch Free Can Be Harmful.
Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024
MTM: Rethinking Memory Profiling and Migration for Multi-Tiered Large Memory.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024
HM-Keeper: Scalable Page Management for Multi-Tiered Large Memory Systems.
CoRR, 2023
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Economics of Fog Computing: Interplay Among Infrastructure and Service Providers, Users, and Edge Resource Owners.
IEEE Trans. Mob. Comput., 2020
Bird-MAC: Energy-Efficient MAC for Quasi-Periodic IoT Applications by Avoiding Early Wake-up.
IEEE Trans. Mob. Comput., 2020
Distributed Slot Scheduling for QoS Guarantee over TSCH-based IoT Networks via Adaptive Parameterization.
Proceedings of the 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2020
Inducing Cooperation through Reward Reshaping based on Peer Evaluations in Deep Multi-Agent Reinforcement Learning.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
Double MAC on a DSP: Boosting the Performance of Convolutional Neural Networks on FPGAs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019
Learning to Schedule Communication in Multi-agent Reinforcement Learning.
Proceedings of the 7th International Conference on Learning Representations, 2019
On-chip memory optimization for high-level synthesis of multi-dimensional data on FPGA.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019
Cost-Performance Comparison of Various Accelerator Implementation Platforms for Deep Convolutional Neural Network.
Proceedings of the Parallel and Distributed Computing, 2018
Parameterized slot scheduling for adaptive and autonomous TSCH networks.
Proceedings of the IEEE INFOCOM 2018, 2018
On the Economics of Fog Computing: Inter-Play among Infrastructure and Service Providers, Users, and Edge Resource Owners.
Proceedings of the 2018 IEEE International Conference on Communications, 2018
A Fog Operating System for User-Oriented IoT Services: Challenges and Research Directions.
IEEE Commun. Mag., 2017
Revisiting Sensor MAC for Periodic Monitoring: Why Should Transmitters Be Early Birds?
Proceedings of the 14th Annual IEEE International Conference on Sensing, 2017
FPGA implementation of convolutional neural network based on stochastic computing.
Proceedings of the International Conference on Field Programmable Technology, 2017
Double MAC: Doubling the performance of convolutional neural networks on modern FPGAs.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017
On the Delay Scaling Laws of Cache Networks.
Proceedings of the 12th International Conference on Future Internet Technologies, 2017