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ORCIDDennis Wu
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2020 – today
- 2025
[c11]Jerry Yao-Chieh Hu, Bo-Yu Chen, Dennis Wu, Feng Ruan, Han Liu:
Nonparametric Modern Hopfield Models. ICML 2025- [i12]Yihan He, Yuan Cao
, Hong-Yu Chen, Dennis Wu, Jianqing Fan, Han Liu:
Learning Spectral Methods by Transformers. CoRR abs/2501.01312 (2025) - [i11]Yuan Cao, Yihan He, Dennis Wu, Hong-Yu Chen, Jianqing Fan, Han Liu:
Transformers Simulate MLE for Sequence Generation in Bayesian Networks. CoRR abs/2501.02547 (2025) - [i10]Dennis Wu, Yihan He, Yuan Cao, Jianqing Fan, Han Liu:
Transformers and Their Roles as Time Series Foundation Models. CoRR abs/2502.03383 (2025) - [i9]Zhenyu Pan, Yiting Zhang, Yutong Zhang, Jianshu Zhang, Haozheng Luo, Yuwei Han, Dennis Wu, Hong-Yu Chen, Philip S. Yu, Manling Li, Han Liu:
Evo-MARL: Co-Evolutionary Multi-Agent Reinforcement Learning for Internalized Safety. CoRR abs/2508.03864 (2025) - [i8]Zhenyu Pan, Yiting Zhang, Zhuo Liu, Yolo Yunlong Tang, Zeliang Zhang, Haozheng Luo, Yuwei Han, Jianshu Zhang, Dennis Wu, Hong-Yu Chen, Haoran Lu, Haoyang Fang, Manling Li, Chenliang Xu, Philip S. Yu, Han Liu:
AdvEvo-MARL: Shaping Internalized Safety through Adversarial Co-Evolution in Multi-Agent Reinforcement Learning. CoRR abs/2510.01586 (2025) - [i7]Weijian Li, Hong-Yu Chen, Qinjie Lin, Nabeel Rehemtulla, Ved G. Shah, Dennis Wu, Adam A. Miller, Han Liu:
StarEmbed: Benchmarking Time Series Foundation Models on Astronomical Observations of Variable Stars. CoRR abs/2510.06200 (2025) - 2024
- [c10]Dennis Wu, Jerry Yao-Chieh Hu, Weijian Li, Bo-Yu Chen, Han Liu:
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction. ICLR 2024 - [c9]Dennis Wu, Jerry Yao-Chieh Hu, Teng-Yun Hsiao, Han Liu:
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models. ICML 2024: 53471-53514 - [c8]Jerry Yao-Chieh Hu, Dennis Wu, Han Liu:
Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes. NeurIPS 2024 - [i6]Dennis Wu, Jerry Yao-Chieh Hu, Teng-Yun Hsiao, Han Liu:
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models. CoRR abs/2404.03827 (2024) - [i5]Jerry Yao-Chieh Hu, Bo-Yu Chen, Dennis Wu, Feng Ruan, Han Liu:
Nonparametric Modern Hopfield Models. CoRR abs/2404.03900 (2024) - [i4]Jerry Yao-Chieh Hu, Dennis Wu, Han Liu:
Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes. CoRR abs/2410.23126 (2024) - 2023
- [c7]Chih-Yao Chen, Dennis Wu, Lun-Wei Ku:
HonestBait: Forward References for Attractive but Faithful Headline Generation. ACL (Findings) 2023: 4810-4824 - [c6]Jerry Yao-Chieh Hu, Donglin Yang, Dennis Wu, Chenwei Xu, Bo-Yu Chen, Han Liu:
On Sparse Modern Hopfield Model. NeurIPS 2023 - [i3]Chih-Yao Chen, Dennis Wu, Lun-Wei Ku:
HonestBait: Forward References for Attractive but Faithful Headline Generation. CoRR abs/2306.14828 (2023) - [i2]Jerry Yao-Chieh Hu, Donglin Yang, Dennis Wu, Chenwei Xu, Bo-Yu Chen, Han Liu:
On Sparse Modern Hopfield Model. CoRR abs/2309.12673 (2023) - [i1]Dennis Wu, Jerry Yao-Chieh Hu, Weijian Li, Bo-Yu Chen, Han Liu:
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction. CoRR abs/2312.17346 (2023) - 2021
- [c5]Farzana Alam Khan, Veera Venkata Ram Murali Krishna Rao Muvva, Dennis Wu, Mohammed Safayet Arefin, Nate Phillips, J. Edward Swan:
Measuring the Perceived Three-Dimensional Location of Virtual Objects in Optical See-Through Augmented Reality. ISMAR 2021: 109-117 - [c4]Farzana Alam Khan, Veera Venkata Ram Murali Krishna Rao Muvva, Dennis Wu, Mohammed Safayet Arefin, Nate Phillips, J. Edward Swan:
A Method for Measuring the Perceived Location of Virtual Content in Optical See Through Augmented Reality. VR Workshops 2021: 657-658 - 2020
- [c3]Shengke Li, Dagang Li, Dennis Wu, Xiaogang Chen:
NVMFS-IOzone: Performance Evaluation for the New NVMM-based File Systems. SYSTOR 2020: 87-97
2000 – 2009
- 2009
- [c2]Stephen Jang, Dennis Wu, Mark Jarvin, Billy Chan, Kevin Chung, Alan Mishchenko, Robert K. Brayton:
SmartOpt: an industrial strength framework for logic synthesis. FPGA 2009: 237-240 - 2005
- [c1]Dennis Wu, Jianwen Zhu:
BDD-based two variable sharing extraction. ASP-DAC 2005: 1031-1034
Coauthor Index
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