no code implementations • 26 May 2024 • Hongfei Wu, Lijun Wu, Guoqing Liu, Zhirong Liu, Bin Shao, Zun Wang
In this paper, we develop SE3Set, an SE(3) equivariant hypergraph neural network architecture tailored for advanced molecular representation learning.
1 code implementation • 18 Apr 2024 • Yongcheng Zeng, Guoqing Liu, Weiyu Ma, Ning Yang, Haifeng Zhang, Jun Wang
Fine-tuning pre-trained Large Language Models (LLMs) is essential to align them with human values and intentions.
no code implementations • 15 Mar 2024 • Tianxiang Ye, Qi Wu, Junyuan Deng, Guoqing Liu, Liu Liu, Songpengcheng Xia, Liang Pang, Wenxian Yu, Ling Pei
In recent years, Neural Radiance Fields (NeRFs) have demonstrated significant potential in encoding highly-detailed 3D geometry and environmental appearance, positioning themselves as a promising alternative to traditional explicit representation for 3D scene reconstruction.
no code implementations • 6 Feb 2024 • Yuting Tang, Xin-Qiang Cai, Yao-Xiang Ding, Qiyu Wu, Guoqing Liu, Masashi Sugiyama
In Reinforcement Learning (RL), it is commonly assumed that an immediate reward signal is generated for each action taken by the agent, helping the agent maximize cumulative rewards to obtain the optimal policy.
1 code implementation • 15 Jan 2024 • Xiuyuan Hu, Guoqing Liu, Yang Zhao, Hao Zhang
AI for drug discovery has been a research hotspot in recent years, and SMILES-based language models has been increasingly applied in drug molecular design.
1 code implementation • NeurIPS 2023 • Xiuyuan Hu, Guoqing Liu, Yang Zhao, Hao Zhang
A central challenge in this field is to generate molecules with specific properties while also producing a wide range of diverse candidates.
1 code implementation • 28 Nov 2023 • Shangkun Sun, Jiaming Liu, Thomas H. Li, Huaxia Li, Guoqing Liu, Wei Gao
To address this issue, multi-frame optical flow methods leverage adjacent frames to mitigate the local ambiguity.
no code implementations • 21 Nov 2023 • Guoqing Liu, Yu Guo, Caiying Wu, Guoqing Chen, Barintag Saheya, Qiyu Jin
Skin lesion segmentation is of great significance for skin lesion analysis and subsequent treatment.
1 code implementation • 30 Oct 2023 • Krzysztof Maziarz, Austin Tripp, Guoqing Liu, Megan Stanley, Shufang Xie, Piotr Gaiński, Philipp Seidl, Marwin Segler
The planning of how to synthesize molecules, also known as retrosynthesis, has been a growing focus of the machine learning and chemistry communities in recent years.
no code implementations • 2 Oct 2023 • Yaxin Feng, Yuan Lan, Luchan Zhang, Guoqing Liu, Yang Xiang
Urban segmentation and lane detection are two important tasks for traffic scene perception.
1 code implementation • 15 Sep 2023 • Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yujiu Yang
Large Language Models (LLMs) excel in various tasks, but they rely on carefully crafted prompts that often demand substantial human effort.
1 code implementation • ICCV 2023 • Junyuan Deng, Xieyuanli Chen, Songpengcheng Xia, Zhen Sun, Guoqing Liu, Wenxian Yu, Ling Pei
To bridge this gap, in this paper, we propose a novel NeRF-based LiDAR odometry and mapping approach, NeRF-LOAM, consisting of three modules neural odometry, neural mapping, and mesh reconstruction.
1 code implementation • 31 Jan 2023 • Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu
Retrosynthesis, which aims to find a route to synthesize a target molecule from commercially available starting materials, is a critical task in drug discovery and materials design.
Ranked #1 on Multi-step retrosynthesis on USPTO-190
no code implementations • 18 Jul 2022 • Guoqing Liu, Mengzhang Cai, Li Zhao, Tao Qin, Adrian Brown, Jimmy Bischoff, Tie-Yan Liu
In this work, we propose using only screenshots/pixels as input for automated game testing and build a general game testing agent, Inspector, that can be easily applied to different games without deep integration with games.
no code implementations • 31 Jan 2022 • Mingfei Sun, Vitaly Kurin, Guoqing Liu, Sam Devlin, Tao Qin, Katja Hofmann, Shimon Whiteson
Furthermore, we show that ESPO can be easily scaled up to distributed training with many workers, delivering strong performance as well.
no code implementations • ICLR 2021 • Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Jian Li, Nenghai Yu, Tie-Yan Liu
Recently, various auxiliary tasks have been proposed to accelerate representation learning and improve sample efficiency in deep reinforcement learning (RL).
no code implementations • 30 Mar 2020 • Junjie Li, Sotetsu Koyamada, Qiwei Ye, Guoqing Liu, Chao Wang, Ruihan Yang, Li Zhao, Tao Qin, Tie-Yan Liu, Hsiao-Wuen Hon
Artificial Intelligence (AI) has achieved great success in many domains, and game AI is widely regarded as its beachhead since the dawn of AI.
no code implementations • 25 Sep 2019 • Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minglie Huang, Tao Qin, Tie-Yan Liu
Most of existing advantage function estimation methods in reinforcement learning suffer from the problem of high variance, which scales unfavorably with the time horizon.
no code implementations • 25 Sep 2019 • Guoqing Liu, Li Zhao, Pushi Zhang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
One approach leverages demonstration data in a supervised manner, which is simple and direct, but can only provide supervision signal over those states seen in the demonstrations.
no code implementations • 4 Jun 2019 • Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka
This study addresses an issue of co-adaptation between a feature extractor and a classifier in a neural network.
no code implementations • 8 Apr 2018 • Xiaogang Cheng, Guoqing Liu, Anders Hedman, Kun Wang, Hai-Bo Li
We assume fog and haze cause blurred images and that fog and haze can be considered as a piecewise stationary signal.
no code implementations • 19 Apr 2015 • Jianxin Wu, Bin-Bin Gao, Guoqing Liu
In computer vision, an entity such as an image or video is often represented as a set of instance vectors, which can be SIFT, motion, or deep learning feature vectors extracted from different parts of that entity.