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Fan Wang 0021
Person information
- affiliation: Baidu Inc., Department of Natural Language Processing, NLP, Shenzhen, China
Other persons with the same name
- Fan Wang — disambiguation page
- Fan Wang 0001 — University of Arizona, Tucson, USA
- Fan Wang 0002 — INSA de Rouen, France
- Fan Wang 0003 — Sun-Yat Sen University, School of Business, Guangzhou, China (and 2 more)
- Fan Wang 0004 — Ohio State University, Department of Computer Science and Engineering, Columbus, OH, USA
- Fan Wang 0005 — Xidian University, School of Electronic Engineering, Remote Sensing Image Processing and Fusion Group, Xi'an, China
- Fan Wang 0006 — University of Duisburg-Essen, Institute for Automatic Control and Complex Systems, AKS, Duisburg, Germany (and 3 more)
- Fan Wang 0007 — Nanchang University, School of Sciences, China (and 1 more)
- Fan Wang 0008 — Beihang University, Beijing, China
- Fan Wang 0009 — Beijing University of Technology, MOE Key Laboratory of Urban Security and Disaster Engineering, China
- Fan Wang 0010 — Stony Brook University, Stony Brook, NY, USA (and 1 more)
- Fan Wang 0011 — Nanjing Research Institute of Electronic Technology, China
- Fan Wang 0012 — Beijing Technology and Business University, Beijing Key Laboratory of Big Data Technology for Food Safety, China
- Fan Wang 0013 — Northwestern Polytechnical University, School of Astronautics, Xi'an, China
- Fan Wang 0014 — University of Science and Technology Beijing, Key Laboratory of Knowledge Automation for Industrial Processes, China
- Fan Wang 0015 — Huawei Technologies Company, Wireless Network Research Department, Shanghai, China
- Fan Wang 0016 — Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, China
- Fan Wang 0017 — Dalian University of Technology, School of Computer Science and Technology, China
- Fan Wang 0018 — Nanyang Technological University, Singapore
- Fan Wang 0019 — Alibaba Group, Hangzhou, China
- Fan Wang 0020 — Zhejiang University, College of Computer Science, China (and 1 more)
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2020 – today
- 2024
- [j10]Huang He, Hua Lu, Siqi Bao, Fan Wang, Hua Wu, Zheng-Yu Niu, Haifeng Wang:
Learning to Select External Knowledge With Multi-Scale Negative Sampling. IEEE ACM Trans. Audio Speech Lang. Process. 32: 714-720 (2024) - [j9]Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong:
GIaNt: Protein-Ligand Binding Affinity Prediction via Geometry-Aware Interactive Graph Neural Network. IEEE Trans. Knowl. Data Eng. 36(5): 1991-2008 (2024) - [i35]Fan Wang, Chuan Lin, Yang Cao, Yu Kang:
Benchmarking General Purpose In-Context Learning. CoRR abs/2405.17234 (2024) - [i34]Yumeng Zhang, Shi Gong, Kaixin Xiong, Xiaoqing Ye, Xiao Tan, Fan Wang, Jizhou Huang, Hua Wu, Haifeng Wang:
BEVWorld: A Multimodal World Model for Autonomous Driving via Unified BEV Latent Space. CoRR abs/2407.05679 (2024) - [i33]Jiankun Li, Hao Li, Jiangjiang Liu, Zhikang Zou, Xiaoqing Ye, Fan Wang, Jizhou Huang, Hua Wu, Haifeng Wang:
Exploring the Causality of End-to-End Autonomous Driving. CoRR abs/2407.06546 (2024) - 2023
- [j8]Can (sam) Chen, Jingbo Zhou, Fan Wang, Xue (Steve) Liu, Dejing Dou:
Structure-aware protein self-supervised learning. Bioinform. 39(4) (2023) - [j7]Xiaomin Fang, Fan Wang, Lihang Liu, Jingzhou He, Dayong Lin, Yingfei Xiang, Kunrui Zhu, Xiaonan Zhang, Hua Wu, Hui Li, Le Song:
A method for multiple-sequence-alignment-free protein structure prediction using a protein language model. Nat. Mac. Intell. 5(10): 1087-1096 (2023) - [j6]Weijia Zhang, Hao Liu, Hui Xiong, Tong Xu, Fan Wang, Haoran Xin, Hua Wu:
RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation. IEEE Trans. Knowl. Data Eng. 35(6): 6290-6304 (2023) - [c16]Mingzhu Cai, Siqi Bao, Xin Tian, Huang He, Fan Wang, Hua Wu:
Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint Modeling. ACL (1) 2023: 1730-1745 - [c15]Hua Lu, Siqi Bao, Huang He, Fan Wang, Hua Wu, Haifeng Wang:
Towards Boosting the Open-Domain Chatbot with Human Feedback. ACL (1) 2023: 4060-4078 - [i32]Lihang Liu, Donglong He, Xianbin Ye, Shanzhuo Zhang, Xiaonan Zhang, Jingbo Zhou, Jun Li, Hua Chai, Fan Wang, Jingzhou He, Liang Zheng, Yonghui Li, Xiaomin Fang:
Pre-Training on Large-Scale Generated Docking Conformations with HelixDock to Unlock the Potential of Protein-ligand Structure Prediction Models. CoRR abs/2310.13913 (2023) - 2022
- [j5]Hongyu Luo, Yingfei Xiang, Xiaomin Fang, Wei Li, Fan Wang, Hua Wu, Haifeng Wang:
BatchDTA: implicit batch alignment enhances deep learning-based drug-target affinity estimation. Briefings Bioinform. 23(4) (2022) - [j4]Jing Hu, Jie Gao, Xiaomin Fang, Zijing Liu, Fan Wang, Weili Huang, Hua Wu, Guodong Zhao:
DTSyn: a dual-transformer-based neural network to predict synergistic drug combinations. Briefings Bioinform. 23(5) (2022) - [j3]Shanzhuo Zhang, Zhiyuan Yan, Yueyang Huang, Lihang Liu, Donglong He, Wei Wang, Xiaomin Fang, Xiaonan Zhang, Fan Wang, Hua Wu, Haifeng Wang:
HelixADMET: a robust and endpoint extensible ADMET system incorporating self-supervised knowledge transfer. Bioinform. 38(13): 3444-3453 (2022) - [j2]Xiaomin Fang, Lihang Liu, Jieqiong Lei, Donglong He, Shanzhuo Zhang, Jingbo Zhou, Fan Wang, Hua Wu, Haifeng Wang:
Geometry-enhanced molecular representation learning for property prediction. Nat. Mach. Intell. 4(2): 127-134 (2022) - [j1]Fan Wang, Hao Tian, Haoyi Xiong, Hua Wu, Jie Fu, Yang Cao, Yu Kang, Haifeng Wang:
Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning. Trans. Mach. Learn. Res. 2022 (2022) - [c14]Zhiyuan Chen, Xiaomin Fang, Zixu Hua, Yueyang Huang, Fan Wang, Hua Wu:
HelixMO: Sample-Efficient Molecular Optimization in Scene-Sensitive Latent Space. BIBM 2022: 315-321 - [c13]Xin Tian, Yingzhan Lin, Mengfei Song, Siqi Bao, Fan Wang, Huang He, Shuqi Sun, Hua Wu:
Q-TOD: A Query-driven Task-oriented Dialogue System. EMNLP 2022: 7260-7271 - [c12]Siqi Bao, Huang He, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Zhihua Wu, Zhen Guo, Hua Lu, Xinxian Huang, Xin Tian, Xinchao Xu, Yingzhan Lin, Zheng-Yu Niu:
PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation. AACL/IJCNLP (Findings) 2022: 107-118 - [i31]Can Chen, Jingbo Zhou, Fan Wang, Xue Liu, Dejing Dou:
Structure-aware Protein Self-supervised Learning. CoRR abs/2204.04213 (2022) - [i30]Shanzhuo Zhang, Zhiyuan Yan, Yueyang Huang, Lihang Liu, Donglong He, Wei Wang, Xiaomin Fang, Xiaonan Zhang, Fan Wang, Hua Wu, Haifeng Wang:
HelixADMET: a robust and endpoint extensible ADMET system incorporating self-supervised knowledge transfer. CoRR abs/2205.08055 (2022) - [i29]Han Zhou, Xinchao Xu, Wenquan Wu, Zhengyu Niu, Hua Wu, Siqi Bao, Fan Wang, Haifeng Wang:
SINC: Service Information Augmented Open-Domain Conversation. CoRR abs/2206.14000 (2022) - [i28]Jie Gao, Jing Hu, Wanqing Sun, Yili Shen, Xiaonan Zhang, Xiaomin Fang, Fan Wang, Guodong Zhao:
TCR: A Transformer Based Deep Network for Predicting Cancer Drugs Response. CoRR abs/2207.04457 (2022) - [i27]Guoxia Wang, Xiaomin Fang, Zhihua Wu, Yiqun Liu, Yang Xue, Yingfei Xiang, Dianhai Yu, Fan Wang, Yanjun Ma:
HelixFold: An Efficient Implementation of AlphaFold2 using PaddlePaddle. CoRR abs/2207.05477 (2022) - [i26]Xiaomin Fang, Fan Wang, Lihang Liu, Jingzhou He, Dayong Lin, Yingfei Xiang, Xiaonan Zhang, Hua Wu, Hui Li, Le Song:
HelixFold-Single: MSA-free Protein Structure Prediction by Using Protein Language Model as an Alternative. CoRR abs/2207.13921 (2022) - [i25]Lihang Liu, Donglong He, Xiaomin Fang, Shanzhuo Zhang, Fan Wang, Jingzhou He, Hua Wu:
GEM-2: Next Generation Molecular Property Prediction Network with Many-body and Full-range Interaction Modeling. CoRR abs/2208.05863 (2022) - [i24]Hua Lu, Siqi Bao, Huang He, Fan Wang, Hua Wu, Haifeng Wang:
Towards Boosting the Open-Domain Chatbot with Human Feedback. CoRR abs/2208.14165 (2022) - [i23]Xin Tian, Yingzhan Lin, Mengfei Song, Siqi Bao, Fan Wang, Huang He, Shuqi Sun, Hua Wu:
Q-TOD: A Query-driven Task-oriented Dialogue System. CoRR abs/2210.07564 (2022) - [i22]Siqi Bao, Huang He, Jun Xu, Hua Lu, Fan Wang, Hua Wu, Han Zhou, Wenquan Wu, Zheng-Yu Niu, Haifeng Wang:
PLATO-K: Internal and External Knowledge Enhanced Dialogue Generation. CoRR abs/2211.00910 (2022) - [i21]Mingzhu Cai, Siqi Bao, Xin Tian, Huang He, Fan Wang, Hua Wu:
Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint Modeling. CoRR abs/2212.09588 (2022) - 2021
- [c11]Siqi Bao, Huang He, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Zhen Guo, Zhibin Liu, Xinchao Xu:
PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning. ACL/IJCNLP (Findings) 2021: 2513-2525 - [c10]Zijing Liu, Xianbin Ye, Xiaoming Fang, Fan Wang, Hua Wu, Haifeng Wang:
Docking-based Virtual Screening with Multi-Task Learning. BIBM 2021: 381-385 - [c9]Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong:
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity. KDD 2021: 975-985 - [c8]Xiaomin Fang, Jizhou Huang, Fan Wang, Lihang Liu, Yibo Sun, Haifeng Wang:
SSML: Self-Supervised Meta-Learner for En Route Travel Time Estimation at Baidu Maps. KDD 2021: 2840-2848 - [c7]Yang Xue, Zijing Liu, Xiaomin Fang, Fan Wang:
Multimodal Pre-Training Model for Sequence-based Prediction of Protein-Protein Interaction. MLBC 2021: 34-46 - [c6]Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong:
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning. WWW 2021: 1856-1867 - [i20]Huang He, Hua Lu, Siqi Bao, Fan Wang, Hua Wu, Zhengyu Niu, Haifeng Wang:
Learning to Select External Knowledge with Multi-Scale Negative Sampling. CoRR abs/2102.02096 (2021) - [i19]Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong:
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning. CoRR abs/2102.07359 (2021) - [i18]Siqi Bao, Bingjin Chen, Huang He, Xin Tian, Han Zhou, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Yingzhan Lin:
A Unified Pre-training Framework for Conversational AI. CoRR abs/2105.02482 (2021) - [i17]Xiaomin Fang, Lihang Liu, Jieqiong Lei, Donglong He, Shanzhuo Zhang, Jingbo Zhou, Fan Wang, Hua Wu, Haifeng Wang:
ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction. CoRR abs/2106.06130 (2021) - [i16]Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong:
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity. CoRR abs/2107.10670 (2021) - [i15]Fan Wang, Hao Tian, Haoyi Xiong, Hua Wu, Yang Cao, Yu Kang, Haifeng Wang:
Do What Nature Did To Us: Evolving Plastic Recurrent Neural Networks For Task Generalization. CoRR abs/2109.03554 (2021) - [i14]Siqi Bao, Huang He, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Zhihua Wu, Zhen Guo, Hua Lu, Xinxian Huang, Xin Tian, Xinchao Xu, Yingzhan Lin, Zhengyu Niu:
PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation. CoRR abs/2109.09519 (2021) - [i13]Xin Tian, Liankai Huang, Yingzhan Lin, Siqi Bao, Huang He, Yunyi Yang, Hua Wu, Fan Wang, Shuqi Sun:
Amendable Generation for Dialogue State Tracking. CoRR abs/2110.15659 (2021) - [i12]Zijing Liu, Xianbin Ye, Xiaoming Fang, Fan Wang, Hua Wu, Haifeng Wang:
Docking-based Virtual Screening with Multi-Task Learning. CoRR abs/2111.09502 (2021) - [i11]Zhiyuan Chen, Xiaomin Fang, Fan Wang, Xiaotian Fan, Hua Wu, Haifeng Wang:
CELLS: Cost-Effective Evolution in Latent Space for Goal-Directed Molecular Generation. CoRR abs/2112.00905 (2021) - [i10]Yang Xue, Zijing Liu, Xiaomin Fang, Fan Wang:
Multimodal Pre-Training Model for Sequence-based Prediction of Protein-Protein Interaction. CoRR abs/2112.04814 (2021) - [i9]Xin Tian, Xinxian Huang, Dongfeng He, Yingzhan Lin, Siqi Bao, Huang He, Liankai Huang, Qiang Ju, Xiyuan Zhang, Jian Xie, Shuqi Sun, Fan Wang, Hua Wu, Haifeng Wang:
TOD-DA: Towards Boosting the Robustness of Task-oriented Dialogue Modeling on Spoken Conversations. CoRR abs/2112.12441 (2021) - 2020
- [c5]Siqi Bao, Huang He, Fan Wang, Hua Wu, Haifeng Wang:
PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable. ACL 2020: 85-96 - [c4]Xiaomin Fang, Jizhou Huang, Fan Wang, Lingke Zeng, Haijin Liang, Haifeng Wang:
ConSTGAT: Contextual Spatial-Temporal Graph Attention Network for Travel Time Estimation at Baidu Maps. KDD 2020: 2697-2705 - [i8]Siqi Bao, Huang He, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Zhen Guo, Zhibin Liu, Xinchao Xu:
PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning. CoRR abs/2006.16779 (2020) - [i7]Jingbo Zhou, Shuangli Li, Liang Huang, Haoyi Xiong, Fan Wang, Tong Xu, Hui Xiong, Dejing Dou:
Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction. CoRR abs/2012.09624 (2020)
2010 – 2019
- 2019
- [c3]Siqi Bao, Huang He, Fan Wang, Rongzhong Lian, Hua Wu:
Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment. ACL (1) 2019: 5382-5391 - [c2]Chaotao Chen, Jinhua Peng, Fan Wang, Jun Xu, Hua Wu:
Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection. IJCAI 2019: 4918-4924 - [c1]Rongzhong Lian, Min Xie, Fan Wang, Jinhua Peng, Hua Wu:
Learning to Select Knowledge for Response Generation in Dialog Systems. IJCAI 2019: 5081-5087 - [i6]Fan Wang, Xiaomin Fang, Lihang Liu, Yaxue Chen, Jiucheng Tao, Zhiming Peng, Cihang Jin, Hao Tian:
Sequential Evaluation and Generation Framework for Combinatorial Recommender System. CoRR abs/1902.00245 (2019) - [i5]Rongzhong Lian, Min Xie, Fan Wang, Jinhua Peng, Hua Wu:
Learning to Select Knowledge for Response Generation in Dialog Systems. CoRR abs/1902.04911 (2019) - [i4]Siqi Bao, Huang He, Fan Wang, Rongzhong Lian, Hua Wu:
Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment. CoRR abs/1906.00549 (2019) - [i3]Chaotao Chen, Jinhua Peng, Fan Wang, Jun Xu, Hua Wu:
Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection. CoRR abs/1906.01781 (2019) - [i2]Siqi Bao, Huang He, Fan Wang, Hua Wu:
PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable. CoRR abs/1910.07931 (2019) - [i1]Fan Wang, Xiaomin Fang, Lihang Liu, Hao Tian, Zhiming Peng:
MBCAL: A Simple and Efficient Reinforcement Learning Method for Recommendation Systems. CoRR abs/1911.02248 (2019)
Coauthor Index
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last updated on 2024-11-15 20:37 CET by the dblp team
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