Search Results for author: Zaiqing Nie

Found 21 papers, 7 papers with code

RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception

1 code implementation15 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.

3D Object Detection 3D Object Tracking +1

DeepCRE: Transforming Drug R&D via AI-Driven Cross-drug Response Evaluation

no code implementations6 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.

Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection

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.

3D Object Detection Autonomous Driving +1

Learning Cooperative Trajectory Representations for Motion Forecasting

2 code implementations1 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.

Motion Forecasting

QUEST: Query Stream for Practical Cooperative Perception

no code implementations3 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.

MolFM: A Multimodal Molecular Foundation Model

2 code implementations6 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.

Cross-Modal Retrieval Knowledge Graphs +4

V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting

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.

Autonomous Driving Decision Making +1

Towards Unified AI Drug Discovery with Multiple Knowledge Modalities

no code implementations17 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.

Drug Discovery Knowledge Graphs +2

Vehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow Prediction

1 code implementation19 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.

3D Object Detection Autonomous Driving +1

Federated Learning for Personalized Humor Recognition

no code implementations3 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).

Federated Learning Language Modelling

Learning Hierarchical Review Graph Representations for Recommendation

no code implementations24 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.

Graph Attention

Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots

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.

Chatbot Response Generation

Understanding Semantics from Speech Through Pre-training

no code implementations24 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

Multi-Task Learning for Semantic Parsing with Cross-Domain Sketch

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.

Multi-Task Learning Semantic Parsing +1

Learning Personalized End-to-End Goal-Oriented Dialog

no code implementations12 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.

Goal-Oriented Dialog

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