1 code implementation • 30 Apr 2024 • Yong Shu, Liquan Shen, Xiangyu Hu, Mengyao Li, ZiHao Zhou
In this work, to facilitate the development of real-world HDR video reconstruction, we present Real-HDRV, a large-scale real-world benchmark dataset for HDR video reconstruction, featuring various scenes, diverse motion patterns, and high-quality labels.
no code implementations • 17 Jan 2024 • Dong Shu, Mingyu Jin, Suiyuan Zhu, Beichen Wang, ZiHao Zhou, Chong Zhang, Yongfeng Zhang
In our research, we pioneer a novel approach to evaluate the effectiveness of jailbreak attacks on Large Language Models (LLMs), such as GPT-4 and LLaMa2, diverging from traditional robustness-focused binary evaluations.
1 code implementation • 22 Nov 2023 • ZiHao Zhou, Bin Hu, Chenyang Zhao, Pu Zhang, Bin Liu
By incorporating the guidance from the teacher agent, the student agent can distill the prior knowledge of the LLM into its own model.
no code implementations • 4 Sep 2023 • ZiHao Zhou, Qiufeng Wang, Mingyu Jin, Jie Yao, Jianan Ye, Wei Liu, Wei Wang, Xiaowei Huang, Kaizhu Huang
Instead of attacking prompts in the use of LLMs, we propose a MathAttack model to attack MWP samples which are closer to the essence of security in solving math problems.
1 code implementation • 26 Aug 2023 • Jie Yao, ZiHao Zhou, Qiufeng Wang
Firstly, We propose a problem type classifier that combines the strengths of the tree-based solver and the LLM solver.
no code implementations • 17 Jul 2023 • Tingkai Li, ZiHao Zhou, Adam Thelen, David Howey, Chao Hu
Using a newly generated dataset from 225 nickel-manganese-cobalt/graphite Li-ion cells aged under a wide range of conditions, we demonstrate a lifetime prediction of in-distribution cells with 15. 1% mean absolute percentage error using no more than the first 15% of data, for most cells.
1 code implementation • 15 Jun 2023 • ZiHao Zhou, Maizhen Ning, Qiufeng Wang, Jie Yao, Wei Wang, Xiaowei Huang, Kaizhu Huang
We then feed them to a question generator together with the scenario to obtain the corresponding diverse questions, forming a new MWP with a variety of questions and equations.
1 code implementation • 6 Jun 2023 • Bin Hu, Chenyang Zhao, Pu Zhang, ZiHao Zhou, Yuanhang Yang, Zenglin Xu, Bin Liu
In this paper, we explore how to enable intelligent cost-effective interactions between the agent and an LLM.
1 code implementation • 1 Apr 2023 • Chenyang Zhao, ZiHao Zhou, Bin Liu
Offline Meta Reinforcement Learning (OMRL) aims to learn transferable knowledge from offline datasets to enhance the learning process for new target tasks.
no code implementations • 10 Nov 2022 • ZiHao Zhou, David A. Howey
Here, a hierarchical Bayesian linear model is proposed for battery life prediction, combining both individual cell features (reflecting manufacturing variability) with population-wide features (reflecting the impact of cycling conditions on the population average).
no code implementations • 2 Mar 2022 • ZiHao Zhou, Yanan Li, Xuebin Ren, Shusen Yang
Federated learning (FL) is an emerging privacy-preserving paradigm that enables multiple participants collaboratively to train a global model without uploading raw data.
no code implementations • 15 Jan 2022 • ZiHao Zhou, Maolin Li, Weipeng Guan
We proposed and experimentally demonstrated a new hybrid code structure based on the overlapping of two light sources to produce the effect of multi-voltage amplitudes.
1 code implementation • 12 Dec 2021 • ZiHao Zhou, Xingyi Yang, Ryan Rossi, Handong Zhao, Rose Yu
The key construction of our approach is the nonparametric space-time intensity function, governed by a latent process.
no code implementations • 14 Aug 2021 • ZiHao Zhou, Li Zhang, Xinyue Chen, Cheng-Xiang Wang, Jie Huang
In this paper, we conduct wireless channel measurements in indoor corridor scenarios at 2. 4, 5 and 6 GHz bands with bandwidth of 320 MHz.
no code implementations • 1 Jan 2021 • ZiHao Zhou, Xingyi Yang, Xinyi He, Ryan Rossi, Handong Zhao, Rose Yu
To the best of our knowledge, this is the first neural point process model that can jointly predict both the space and time of events.
no code implementations • 12 Jul 2020 • ZiHao Zhou, Weipeng Guan, ShangSheng Wen
More specifically, an constellation diagram analyzer for UWOC system based on convolutional neural network (CNN) is designed for modulation format recognition (MFR), optical signal noise ratio (OSNR) and phase error estimation.