no code implementations • 29 Feb 2024 • Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He
Compared to AUC, LLPAUC considers only the partial area under the ROC curve in the Lower-Left corner to push the optimization focus on Top-K. We provide theoretical validation of the correlation between LLPAUC and Top-K ranking metrics and demonstrate its robustness to noisy user feedback.
1 code implementation • 1 Nov 2023 • Chenxu Wang, Ping Jian, Mu Huang
Essentially, our method seamlessly injects knowledge relevant to discourse relation into pre-trained language models through prompt-based connective prediction.
1 code implementation • 19 Jun 2023 • Yonggang Jin, Chenxu Wang, Tianyu Zheng, Liuyu Xiang, Yaodong Yang, Junge Zhang, Jie Fu, Zhaofeng He
Deep reinforcement learning algorithms are usually impeded by sampling inefficiency, heavily depending on multiple interactions with the environment to acquire accurate decision-making capabilities.
1 code implementation • 27 Apr 2023 • Yulong Huang, Yang Zhang, Qifan Wang, Chenxu Wang, Fuli Feng
To improve the accuracy of these models, some researchers have attempted to simulate human analogical reasoning to correct predictions for testing data by drawing analogies with the prediction errors of similar training data.
1 code implementation • 22 Sep 2022 • Chenxu Wang, Fuli Feng, Yang Zhang, Qifan Wang, Xunhan Hu, Xiangnan He
A standard choice is treating the missing data as negative training samples and estimating interaction likelihood between user-item pairs along with the observed interactions.
no code implementations • 1 Feb 2021 • Sidun Fang, Chenxu Wang, Yashen Lin, Changhong Zhao
The conventionally independent power, water, and heating networks are becoming more tightly connected, which motivates their joint optimal energy scheduling to improve the overall efficiency of an integrated energy system.
no code implementations • 2 Dec 2020 • Xiaoqi Li, Ting Chen, Xiapu Luo, Chenxu Wang
Because the locked cryptocurrencies can never be controlled by users, avoid interacting with the accounts discovered by CLUE and repeating the same mistakes again can help users to save money.
Cryptography and Security
no code implementations • 12 Sep 2020 • Ze Cheng, Juncheng Li, Chenxu Wang, Jixuan Gu, Hao Xu, Xinjian Li, Florian Metze
In this paper, we provide a theoretical explanation that low total correlation of sampled representation cannot guarantee low total correlation of the mean representation.
1 code implementation • 27 May 2020 • Yang Zhang, Fuli Feng, Chenxu Wang, Xiangnan He, Meng Wang, Yan Li, Yongdong Zhang
Nevertheless, normal training on new data only may easily cause overfitting and forgetting issues, since the new data is of a smaller scale and contains fewer information on long-term user preference.
no code implementations • 27 Dec 2019 • Qiquan Zhang, Aaron Nicolson, Mingjiang Wang, Kuldip K. Paliwal, Chenxu Wang
Deep learning has achieved substantial improvement on single-channel speech enhancement tasks.
no code implementations • 25 Sep 2019 • Ze Cheng, Juncheng B Li, Chenxu Wang, Jixuan Gu, Hao Xu, Xinjian Li, Florian Metze
In the problem of unsupervised learning of disentangled representations, one of the promising methods is to penalize the total correlation of sampled latent vari-ables.