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Author search results
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- John C.-I. Chuang
aka: John Chung-I Chuang, John Chuang
University of California, Berkeley, USA
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Publication search results
found 168 matches
- 2024
- Zhen-Feng Jiang, Xi-Zhan Wei, Jia-Lin Kang, David Shan-Hill Wong, Yuan Yao
, Yao-Chen Chuang, Shi-Shang Jang, John Di-Yi Ou:
Deep learning model predictive control of a high-density polyethylene reactor with a physics-guided sequence-to-sequence model with memory. Comput. Chem. Eng. 189: 108790 (2024) - Ashish Shenoy, Sid Wang, Pierce Chuang, John Nguyen:
Now It Sounds Like You: Learning Personalized Vocabulary On Device. AAAI Spring Symposia 2024: 310-315 - Otavio Braga, Wei Xia, Keith Johnson, Alice Chuang, Yunfan Ye, Olivier Siohan, Tuan Anh Nguyen:
Large Scale Self-Supervised Pretraining for Active Speaker Detection. ICASSP 2024: 10036-10040 - Zhang-Wei Hong, Idan Shenfeld, Tsun-Hsuan Wang, Yung-Sung Chuang, Aldo Pareja, James R. Glass, Akash Srivastava, Pulkit Agrawal:
Curiosity-driven Red-teaming for Large Language Models. ICLR 2024 - Zhang-Wei Hong, Idan Shenfeld, Tsun-Hsuan Wang, Yung-Sung Chuang, Aldo Pareja, James R. Glass, Akash Srivastava, Pulkit Agrawal:
Curiosity-driven Red-teaming for Large Language Models. CoRR abs/2402.19464 (2024) - Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik:
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery. CoRR abs/2405.09783 (2024) - 2023
- Max T. Curran
, John Chuang:
Social Distancing and Social Biosensing: Intersubjectivity from Afar. Comput. Support. Cooperative Work. 32(2): 313-346 (2023) - Tsun-Hsuan Wang, Pingchuan Ma, Andrew Everett Spielberg, Zhou Xian, Hao Zhang, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan:
SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments. ICLR 2023 - Wei Xiao, Tsun-Hsuan Wang, Ramin M. Hasani, Mathias Lechner, Yutong Ban, Chuang Gan, Daniela Rus:
On the Forward Invariance of Neural ODEs. ICML 2023: 38100-38124 - Tsun-Hsuan Johnson Wang, Juntian Zheng, Pingchuan Ma, Yilun Du, Byungchul Kim, Andrew Spielberg, Joshua B. Tenenbaum, Chuang Gan, Daniela Rus:
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models. NeurIPS 2023 - Tsun-Hsuan Wang, Pingchuan Ma, Andrew Everett Spielberg, Zhou Xian, Hao Zhang, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan:
SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments. CoRR abs/2303.09555 (2023) - Sid Wang, Ashish Shenoy, Pierce Chuang, John Nguyen:
Now It Sounds Like You: Learning Personalized Vocabulary On Device. CoRR abs/2305.03584 (2023) - Wei Xiao, Tsun-Hsuan Wang, Chuang Gan, Daniela Rus:
SafeDiffuser: Safe Planning with Diffusion Probabilistic Models. CoRR abs/2306.00148 (2023) - Yufei Wang, Zhou Xian, Feng Chen, Tsun-Hsuan Wang, Yian Wang, Zackory Erickson
, David Held, Chuang Gan:
RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation. CoRR abs/2311.01455 (2023) - Tsun-Hsuan Wang, Juntian Zheng, Pingchuan Ma, Yilun Du, Byungchul Kim
, Andrew Spielberg, Joshua B. Tenenbaum, Chuang Gan, Daniela Rus:
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models. CoRR abs/2311.17053 (2023) - 2022
- Sabarish V. Babu, Hsiao-Chuan Huang, Robert J. Teather, Jung-Hong Chuang:
Comparing the Fidelity of Contemporary Pointing with Controller Interactions on Performance of Personal Space Target Selection. ISMAR 2022: 404-413 - Alexander Zlokapa, Andrew K. Tan, John M. Martyn, Max Tegmark, Isaac L. Chuang:
Biological error correction codes generate fault-tolerant neural networks. CoRR abs/2202.12887 (2022) - 2021
- Jeremy Raboff Gordon
, Max T. Curran, John Chuang, Coye Cheshire
:
Covert Embodied Choice: Decision-Making and the Limits of Privacy Under Biometric Surveillance. CHI 2021: 551:1-551:12 - John Chuang:
Neural Dynamics of a Single Human with Long-Term, High Temporal Density Electroencephalography. EMBC 2021: 7199-7205 - Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David D. Cox, Mark Hasegawa-Johnson:
Global Prosody Style Transfer Without Text Transcriptions. ICML 2021: 8650-8660 - Jeremy Gordon
, John Chuang:
Active Dynamical Prospection: Modeling Mental Simulation as Particle Filtering for Sensorimotor Control during Pathfinding. ALIFE 2021: 85 - Jeremy Gordon, Max T. Curran, John Chuang, Coye Cheshire:
Covert Embodied Choice: Decision-Making and the Limits of Privacy Under Biometric Surveillance. CoRR abs/2101.00771 (2021) - Jeremy Gordon, John Chuang:
Active Dynamical Prospection: Modeling Mental Simulation as Particle Filtering for Sensorimotor Control during Pathfinding. CoRR abs/2103.07966 (2021) - Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David D. Cox, Mark Hasegawa-Johnson:
Global Rhythm Style Transfer Without Text Transcriptions. CoRR abs/2106.08519 (2021) - Arkopal Dutt, Edwin Pednault, Chai Wah Wu, Sarah Sheldon, John Smolin, Lev Bishop, Isaac L. Chuang:
Active Learning of Quantum System Hamiltonians yields Query Advantage. CoRR abs/2112.14553 (2021) - 2020
- Yi-Jing Chuang, Shuo-Han Chen
, Yuan-Hao Chang
, Yu-Pei Liang, Hsin-Wen Wei, Wei-Kuan Shih:
DSTL: A Demand-Based Shingled Translation Layer for Enabling Adaptive Address Mapping on SMR Drives. ACM Trans. Embed. Comput. Syst. 19(4): 25:1-25:21 (2020) - Cheng-Hung Chou
, Haibin Wu, Jia-Lin Kang
, David Shan-Hill Wong, Yuan Yao
, Yao-Chen Chuang, Shi-Shang Jang
, John Di-Yi Ou:
Physically Consistent Soft-Sensor Development Using Sequence-to-Sequence Neural Networks. IEEE Trans. Ind. Informatics 16(4): 2829-2838 (2020) - Wu Liu, Chuang Gan, Jingkuan Song, Dingwen Zhang, Wenbing Huang, John Smith:
HUMA'20: 1st International Workshop on Human-Centric Multimedia Analysis. ACM Multimedia 2020: 4763-4764 - Ji Lin, Wei-Ming Chen, Yujun Lin, John Cohn, Chuang Gan, Song Han:
MCUNet: Tiny Deep Learning on IoT Devices. NeurIPS 2020 - Wu Liu, Chuang Gan, John R. Smith, Jingkuan Song, Dingwen Zhang, Wenbing Huang:
HuMA'20: Proceedings of the 1st International Workshop on Human-centric Multimedia Analysis, Seattle, WA, USA, October12, 2020. ACM 2020, ISBN 978-1-4503-8151-2 [contents]
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