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Publication search results
found 49 matches
- 2024
- Ze Cheng, Zhongkai Hao, Xiaoqiang Wang, Jianing Huang, Youjia Wu, Xudan Liu, Yiru Zhao, Songming Liu, Hang Su:
Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations. ICML 2024 - Zhongkai Hao, Chang Su, Songming Liu, Julius Berner, Chengyang Ying, Hang Su, Anima Anandkumar, Jian Song, Jun Zhu:
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training. ICML 2024 - Zhongkai Hao, Chang Su, Songming Liu, Julius Berner, Chengyang Ying, Hang Su, Anima Anandkumar, Jian Song, Jun Zhu:
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training. CoRR abs/2403.03542 (2024) - Chengyang Ying, Zhongkai Hao, Xinning Zhou, Xuezhou Xu, Hang Su, Xingxing Zhang, Jun Zhu:
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning. CoRR abs/2405.14073 (2024) - Ze Cheng, Zhongkai Hao, Xiaoqiang Wang, Jianing Huang, Youjia Wu, Xudan Liu, Yiru Zhao, Songming Liu, Hang Su:
Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations. CoRR abs/2405.17509 (2024) - Ziming Liu, Shaoyu Wang, Shenggan Cheng, Zhongkai Zhao, Xuanlei Zhao, James Demmel, Yang You:
WallFacer: Guiding Transformer Model Training Out of the Long-Context Dark Forest with N-body Problem. CoRR abs/2407.00611 (2024) - 2023
- Cheng Ling Tan, Zhongkai Tei, Sook Fern Yeo, Kee-Hung Lai, Ajay Kumar, Leanne Chung:
Nexus among blockchain visibility, supply chain integration and supply chain performance in the digital transformation era. Ind. Manag. Data Syst. 123(1): 229-252 (2023) - Zhongkai Zhou, Bin Duan, Yongzhe Kang, Yunlong Shang, Qi Zhang, Chenghui Zhang:
Practical State of Health Estimation for LiFePO4 Batteries Based on Gaussian Mixture Regression and Incremental Capacity Analysis. IEEE Trans. Ind. Electron. 70(3): 2576-2585 (2023) - Wei Jiang, Zhongkai Yi, Li Wang, Hanwei Zhang, Jihai Zhang, Fangquan Lin, Cheng Yang:
A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty. CIKM 2023: 4646-4652 - Zhongkai Sun, Yingxue Zhou, Jie Hao, Xing Fan, Yanbin Lu, Chengyuan Ma, Wei Shen, Chenlei Guo:
Improving Contextual Query Rewrite for Conversational AI Agents through User-preference Feedback Learning. EMNLP (Industry Track) 2023: 432-439 - Zhongkai Sun, Zhengyang Zhao, Sixing Lu, Chengyuan Ma, Xiaohu Liu, Xing Fan, Wei Shen, Chenlei Guo:
CL-QR: Cross-Lingual Enhanced Query Reformulation for Multi-lingual Conversational AI Agents. EMNLP (Industry Track) 2023: 423-431 - Ruolin Su, Zhongkai Sun, Sixing Lu, Chengyuan Ma, Chenlei Guo:
Clicker: Attention-Based Cross-Lingual Commonsense Knowledge Transfer. ICASSP 2023: 1-5 - Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Jian Song, Ze Cheng:
Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients. ICLR 2023 - Zhongkai Hao, Zhengyi Wang, Hang Su, Chengyang Ying, Yinpeng Dong, Songming Liu, Ze Cheng, Jian Song, Jun Zhu:
GNOT: A General Neural Operator Transformer for Operator Learning. ICML 2023: 12556-12569 - Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu:
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data. ICML 2023: 21658-21671 - Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan, Jun Zhu:
On the Reuse Bias in Off-Policy Reinforcement Learning. IJCAI 2023: 4513-4521 - Qi Li, Xinqi Shen, Zhongkai Cheng, Yu Liu:
Design and Implementation of Intelligent Pet Feeding System. TrustCom 2023: 2629-2635 - Ruolin Su, Zhongkai Sun, Sixing Lu, Chengyuan Ma, Chenlei Guo:
CLICKER: Attention-Based Cross-Lingual Commonsense Knowledge Transfer. CoRR abs/2302.13201 (2023) - Zhongkai Hao, Chengyang Ying, Zhengyi Wang, Hang Su, Yinpeng Dong, Songming Liu, Ze Cheng, Jun Zhu, Jian Song:
GNOT: A General Neural Operator Transformer for Operator Learning. CoRR abs/2302.14376 (2023) - Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Songming Liu, Jialian Li, Dong Yan, Jun Zhu:
Reward Informed Dreamer for Task Generalization in Reinforcement Learning. CoRR abs/2303.05092 (2023) - Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu:
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data. CoRR abs/2305.18694 (2023) - Wei Jiang, Zhongkai Yi, Li Wang, Hanwei Zhang, Jihai Zhang, Fangquan Lin, Cheng Yang:
A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty. CoRR abs/2309.08642 (2023) - 2022
- Jian-Fu Zhu, Zhongkai Hao, Qi Liu, Yu Yin, Chengqiang Lu, Zhenya Huang, En-Hong Chen:
Towards Exploring Large Molecular Space: An Efficient Chemical Genetic Algorithm. J. Comput. Sci. Technol. 37(6): 1464-1477 (2022) - Chenghui Zhang, Yongzhe Kang, Bin Duan, Zhongkai Zhou, Qi Zhang, Yunlong Shang, Alian Chen:
An Adaptive Battery Capacity Estimation Method Suitable for Random Charging Voltage Range in Electric Vehicles. IEEE Trans. Ind. Electron. 69(9): 9121-9132 (2022) - Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jian Song, Jun Zhu:
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing. ICML 2022: 8465-8483 - Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Ze Cheng:
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs. NeurIPS 2022 - Zhongkai Sun, Sixing Lu, Chengyuan Ma, Xiaohu Liu, Chenlei Guo:
Query Expansion and Entity Weighting for Query Reformulation Retrieval in Voice Assistant Systems. CoRR abs/2202.13869 (2022) - Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jun Zhu, Jian Song:
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing. CoRR abs/2206.04310 (2022) - Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan, Jun Zhu:
On the Reuse Bias in Off-Policy Reinforcement Learning. CoRR abs/2209.07074 (2022) - Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Jian Song, Ze Cheng:
Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients. CoRR abs/2209.07075 (2022)
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