3 code implementations • 9 May 2024 • Suyuan Zhao, Jiahuan Zhang, Yushuai Wu, Yizhen Luo, Zaiqing Nie
Cell identity encompasses various semantic aspects of a cell, including cell type, pathway information, disease information, and more, which are essential for biologists to gain insights into its biological characteristics.
2 code implementations • 31 Mar 2024 • Haibao Yu, Wenxian Yang, Jiaru Zhong, Zhenwei Yang, Siqi Fan, Ping Luo, Zaiqing Nie
Cooperatively utilizing both ego-vehicle and infrastructure sensor data via V2X communication has emerged as a promising approach for advanced autonomous driving.
1 code implementation • 15 Mar 2024 • Ruiyang Hao, Siqi Fan, Yingru Dai, Zhenlin Zhang, Chenxi Li, Yuntian Wang, Haibao Yu, Wenxian Yang, Jirui Yuan, Zaiqing Nie
The value of roadside perception, which could extend the boundaries of autonomous driving and traffic management, has gradually become more prominent and acknowledged in recent years.
no code implementations • 6 Mar 2024 • Ting Zhang, Hao Zhou, Hainan Wu, Hanwen Sunchu, Lei Hu, Xiaofang Chen, Suyuan Zhao, Gaochao liu, Chao Sun, Jiahuan Zhang, Yizhen Luo, Peng Liu, Zaiqing Nie, Yushuai Wu
The fields of therapeutic application and drug research and development (R&D) both face substantial challenges, i. e., the therapeutic domain calls for more treatment alternatives, while numerous promising pre-clinical drugs have failed in clinical trials.
1 code implementation • 5 Mar 2024 • Kangjie Zheng, Siyu Long, Tianyu Lu, Junwei Yang, Xinyu Dai, Ming Zhang, Zaiqing Nie, Wei-Ying Ma, Hao Zhou
In this paper, we propose ESM-AA (ESM All-Atom), a novel approach that enables atom-scale and residue-scale unified molecular modeling.
1 code implementation • NeurIPS 2023 • Haibao Yu, Yingjuan Tang, Enze Xie, Jilei Mao, Ping Luo, Zaiqing Nie
To address these issues in vehicle-infrastructure cooperative 3D (VIC3D) object detection, we propose the Feature Flow Net (FFNet), a novel cooperative detection framework.
2 code implementations • 1 Nov 2023 • Hongzhi Ruan, Haibao Yu, Wenxian Yang, Siqi Fan, Yingjuan Tang, Zaiqing Nie
Specifically, we present V2X-Graph, the first interpretable and end-to-end learning framework for cooperative motion forecasting.
1 code implementation • 3 Aug 2023 • Siqi Fan, Haibao Yu, Wenxian Yang, Jirui Yuan, Zaiqing Nie
In this paper, we propose the concept of query cooperation to enable interpretable instance-level flexible feature interaction.
2 code implementations • 6 Jun 2023 • Yizhen Luo, Kai Yang, Massimo Hong, Xing Yi Liu, Zaiqing Nie
In this study, we introduce MolFM, a multimodal molecular foundation model designed to facilitate joint representation learning from molecular structures, biomedical texts, and knowledge graphs.
Ranked #8 on Text-based de novo Molecule Generation on ChEBI-20
1 code implementation • CVPR 2023 • Haibao Yu, Wenxian Yang, Hongzhi Ruan, Zhenwei Yang, Yingjuan Tang, Xu Gao, Xin Hao, Yifeng Shi, Yifeng Pan, Ning Sun, Juan Song, Jirui Yuan, Ping Luo, Zaiqing Nie
Utilizing infrastructure and vehicle-side information to track and forecast the behaviors of surrounding traffic participants can significantly improve decision-making and safety in autonomous driving.
no code implementations • 17 Apr 2023 • Yizhen Luo, Xing Yi Liu, Kai Yang, Kui Huang, Massimo Hong, Jiahuan Zhang, Yushuai Wu, Zaiqing Nie
In recent years, AI models that mine intrinsic patterns from molecular structures and protein sequences have shown promise in accelerating drug discovery.
1 code implementation • 19 Mar 2023 • Haibao Yu, Yingjuan Tang, Enze Xie, Jilei Mao, Jirui Yuan, Ping Luo, Zaiqing Nie
Cooperatively utilizing both ego-vehicle and infrastructure sensor data can significantly enhance autonomous driving perception abilities.
1 code implementation • CVPR 2022 • Haibao Yu, Yizhen Luo, Mao Shu, Yiyi Huo, Zebang Yang, Yifeng Shi, Zhenglong Guo, Hanyu Li, Xing Hu, Jirui Yuan, Zaiqing Nie
Autonomous driving faces great safety challenges for a lack of global perspective and the limitation of long-range perception capabilities.
no code implementations • 3 Dec 2020 • Xu Guo, Han Yu, Boyang Li, Hao Wang, Pengwei Xing, Siwei Feng, Zaiqing Nie, Chunyan Miao
In this paper, we propose the FedHumor approach for the recognition of humorous content in a personalized manner through Federated Learning (FL).
no code implementations • COLING 2020 • Guirong Bai, Shizhu He, Kang Liu, Jun Zhao, Zaiqing Nie
Active learning is able to significantly reduce the annotation cost for data-driven techniques.
no code implementations • 24 Apr 2020 • Yong liu, Susen Yang, Yinan Zhang, Chunyan Miao, Zaiqing Nie, Juyong Zhang
Therefore, they may not be effective in capturing the global dependency between words, and tend to be easily biased by noise review information.
no code implementations • IJCNLP 2019 • Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao
Meanwhile, such generated question can express the given predicate and correspond to a definitive answer.
no code implementations • CONLL 2019 • Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao
Facing this challenge, we present a response generation model which incorporates Interlocutor-aware Contexts into Recurrent Encoder-Decoder frameworks (ICRED) for RGMPC.
no code implementations • 24 Sep 2019 • Pengwei Wang, Liang-Chen Wei, Yong Cao, Jinghui Xie, Yuji Cao, Zaiqing Nie
End-to-end Spoken Language Understanding (SLU) is proposed to infer the semantic meaning directly from audio features without intermediate text representation.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • ICLR 2019 • Huan Wang, Yuxiang Hu, Li Dong, Feijun Jiang, Zaiqing Nie
Semantic parsing which maps a natural language sentence into a formal machine-readable representation of its meaning, is highly constrained by the limited annotated training data.
no code implementations • 12 Nov 2018 • Liangchen Luo, Wenhao Huang, Qi Zeng, Zaiqing Nie, Xu sun
Most existing works on dialog systems only consider conversation content while neglecting the personality of the user the bot is interacting with, which begets several unsolved issues.