Weihao Kong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
13
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPLOS | Hardwired-Neuron Language Processing Units as General-Purpose Cognitive Substrates. | Yang Liu, Yi Chen, Yongwei Zhao, Yifan Hao, Zifu Zheng, Weihao Kong, Zhangmai Li, Dongchen Jiang, Ruiyang Xia, Zhihong Ma, Zisheng Liu, Zhaoyong Wan, Yunqi Lu, Ximing Liu, Hongrui Guo, Zhihao Yang, Zhe Wang, Tianrui Ma, Mo Zou, Rui Zhang, Ling Li, Xing Hu, Zidong Du, Zhiwei Xu, Qi Guo, Tianshi Chen, Yunji Chen |
| 2024 | COLT | Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract. | Gavin Brown, Jonathan Hayase, Samuel B. Hopkins, Weihao Kong, Xiyang Liu, Sewoong Oh, Juan C. Perdomo, Adam Smith |
| 2024 | ICLR | Transformers can optimally learn regression mixture models. | Reese Pathak, Rajat Sen, Weihao Kong, Abhimanyu Das |
| 2024 | ICML | A decoder-only foundation model for time-series forecasting. | Abhimanyu Das, Weihao Kong, Rajat Sen, Yichen Zhou |
| 2024 | ISCA | Cambricon-D: Full-Network Differential Acceleration for Diffusion Models. | Weihao Kong, Yifan Hao, Qi Guo, Yongwei Zhao, Xinkai Song, Xiaqing Li, Mo Zou, Zidong Du, Rui Zhang, Chang Liu, Yuanbo Wen, Pengwei Jin, Xing Hu, Wei Li, Zhiwei Xu, Tianshi Chen |
| 2023 | ICML | Efficient List-Decodable Regression using Batches. | Abhimanyu Das, Ayush Jain, Weihao Kong, Rajat Sen |
| 2023 | UAI | Blackbox optimization of unimodal functions. | Ashok Cutkosky, Abhimanyu Das, Weihao Kong, Chansoo Lee, Rajat Sen |
| 2023 | UAI | Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting. | Abhimanyu Das, Weihao Kong, Biswajit Paria, Rajat Sen |
| 2022 | COLT | Differential privacy and robust statistics in high dimensions. | Xiyang Liu, Weihao Kong, Sewoong Oh |
| 2021 | AISTATS | Online Model Selection for Reinforcement Learning with Function Approximation. | Jonathan N. Lee, Aldo Pacchiano, Vidya Muthukumar, Weihao Kong, Emma Brunskill |
| 2021 | ICML | Defense against backdoor attacks via robust covariance estimation. | Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh |
| 2021 | ISCAS | A 1.8-GS/s 6-Bit Two-Step SAR ADC in 65-nm CMOS. | Xiangyu Meng, Weihao Kong, Haifeng Yang, Yecong Li, Xuan Li |
| 2020 | AISTATS | Sublinear Optimal Policy Value Estimation in Contextual Bandits. | Weihao Kong, Emma Brunskill, Gregory Valiant |
| 2020 | ICML | Meta-learning for Mixed Linear Regression. | Weihao Kong, Raghav Somani, Zhao Song, Sham M. Kakade, Sewoong Oh |
| 2019 | ICML | Maximum Likelihood Estimation for Learning Populations of Parameters. | Ramya Korlakai Vinayak, Weihao Kong, Gregory Valiant, Sham M. Kakade |
| 2019 | SODA | Efficient Algorithms and Lower Bounds for Robust Linear Regression. | Ilias Diakonikolas, Weihao Kong, Alistair Stewart |
| 2018 | KDD | Approximating the Spectrum of a Graph. | David Cohen-Steiner, Weihao Kong, Christian Sohler, Gregory Valiant |
| 2014 | IPIN | MobiIO: Push the limit of indoor/outdoor detection through human's mobility traces. | Hongwei Jia, Shuai Su, Weihao Kong, Haiyong Luo, Guoqiang Shang |
| 2012 | AAAI | Double-Bit Quantization for Hashing. | Weihao Kong, Wu-Jun Li |
| 2012 | SIGIR | Manhattan hashing for large-scale image retrieval. | Weihao Kong, Wu-Jun Li, Minyi Guo |