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Yiheng Du
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2020 – today
- 2024
- [j2]Qinlong Wang, Tingfeng Lan, Yinghao Tang, Bo Sang, Ziling Huang, Yiheng Du, Haitao Zhang, Jian Sha, Hui Lu, Yuanchun Zhou, Ke Zhang, Mingjie Tang:
DLRover-RM: Resource Optimization for Deep Recommendation Models Training in the cloud. Proc. VLDB Endow. 17(12): 4130-4144 (2024) - [c5]Zichen Kong
, Xiyuan Tang
PVTSizing: A TuRBO-RL-Based Batch-Sampling Optimization Framework for PVT-Robust Analog Circuit Synthesis. DAC 2024: 47:1-47:6 - [c4]Nithin Chalapathi, Yiheng Du, Aditi S. Krishnapriyan:
Scaling physics-informed hard constraints with mixture-of-experts. ICLR 2024 - [c3]Yiheng Du, Nithin Chalapathi, Aditi S. Krishnapriyan:
Neural Spectral Methods: Self-supervised learning in the spectral domain. ICLR 2024 - [c2]Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang:
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness. ICLR 2024 - [i4]Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang:
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness. CoRR abs/2401.08514 (2024) - [i3]Nithin Chalapathi, Yiheng Du, Aditi S. Krishnapriyan:
Scaling physics-informed hard constraints with mixture-of-experts. CoRR abs/2402.13412 (2024) - 2023
- [c1]Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang:
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests. ICML 2023: 41019-41077 - [i2]Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang:
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests. CoRR abs/2302.07090 (2023) - [i1]Yiheng Du, Nithin Chalapathi, Aditi S. Krishnapriyan:
Neural Spectral Methods: Self-supervised learning in the spectral domain. CoRR abs/2312.05225 (2023) - 2022
- [j1]Qin Wang, Qin Ju, Yueyang Wang, Xiaolei Fu
Regional Patterns of Vegetation Dynamics and Their Sensitivity to Climate Variability in the Yangtze River Basin. Remote. Sens. 14(21): 5623 (2022)
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