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Qiang Zhang 0026
Person information
- affiliation: Zhejiang University, Hangzhou Innovation Center, China
- affiliation (PhD): University College London, Centre for Artificial Intelligence, UK
Other persons with the same name
- Qiang Zhang — disambiguation page
- Qiang Zhang 0001 — Xidian University, Remote Sensing, Image Processing & Fusion Group, Xi'an, China
- Qiang Zhang 0002 — City University of Hong Kong, Department of Mathematics, Hong Kong
- Qiang Zhang 0003 — Chinese Academy of Sciences, Shenyang Institute of Automation, State Key Laboratory of Robotics, China (and 2 more)
- Qiang Zhang 0004 — Tianjin University, School of Electrical Engineering and Automation, China
- Qiang Zhang 0005 — Taiyuan University of Technology, MicroNano System Research Center, China
- Qiang Zhang 0006 — Hefei University of Technology, School of Electronic Science & Applied Physics, China
- Qiang Zhang 0007 — Civil Aviation Flight University of China, College of Computer Science, Guanghan, China (and 1 more)
- Qiang Zhang 0008 — Dalian University of Technology, School of Computer Science and Technology, China (and 2 more)
- Qiang Zhang 0009 — University of Oxford, Medical Science Division, UK (and 1 more)
- Qiang Zhang 0010 — Beijing Institute of Technology, School of Management and Economics, China
- Qiang Zhang 0011 — Wuhan University, School of Geodesy and Geomatics, China
- Qiang Zhang 0012 — Wuhan University, GNSS Research Center, China
- Qiang Zhang 0013 — University of Jinan, School of Electrical Engineering, China (and 1 more)
- Qiang Zhang 0014 — Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Qiang Zhang 0015 — Peking University, Shenzhen Graduate School, School of Electronic and Computer Engineering, China
- Qiang Zhang 0016 — Shandong Jiaotong University, Navigation College, Weihai, China
- Qiang Zhang 0017 — Central South University, School of Information Science and Engineering, Changsha, China
- Qiang Zhang 0018 — Nanjing University, Department of Mathematics, Nanjing, China
- Qiang Zhang 0019 — University of Strasbourg, France
- Qiang Zhang 0020 — Xidian University, School of Mechano-Electronic Engineering, Center for Complex Systems / MOE Key Laboratory of Electronic Equipment Structure Design, Xi'an, China
- Qiang Zhang 0021 — Samsung Electronic, Advanced Image Research Lab, Pasadena, CA, USA (and 1 more)
- Qiang Zhang 0022 — University of Bremen, International Graduate School for Dynamics in Logistics, Germany
- Qiang Zhang 0023 — ISO New England, Business Architecture and Technology, Holyoke, MA, USA
- Qiang Zhang 0024 — Jiangsu Normal University, School of Electrical Engineering and Automation, Xuzhou, China (and 1 more)
- Qiang Zhang 0025 — Northeast Petroleum University, College of Computer and Information Technology, Daqing, China
- Qiang Zhang 0027 — Nanjing University of Aeronautics and Astronautics, China
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2020 – today
- 2024
- [c33]Zeyuan Wang, Qiang Zhang, Keyan Ding, Ming Qin, Xiang Zhuang, Xiaotong Li, Huajun Chen:
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction. ACL (1) 2024: 1114-1136 - [c32]Yinuo Jiang, Xiang Zhuang, Keyan Ding, Qiang Zhang, Huajun Chen:
Enhancing Cross Text-Molecule Learning by Self-Augmentation. ACL (Findings) 2024: 9551-9565 - [c31]Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Qiang Zhang, Huajun Chen:
DET: A Dual-Encoding Transformer for Relational Graph Embedding. LREC/COLING 2024: 4685-4696 - [c30]Ming Qin, Xun Li, Yuhao Wang, Zhenping Li, Hongbin Ye, Zongbing Wang, Weihao Gao, Shangsong Liang, Qiang Zhang, Keyan Ding:
ProTeM: Unifying Protein Function Prediction via Text Matching. ICANN (8) 2024: 132-146 - [c29]Yuhao Wang, Qiang Zhang, Ming Qin, Xiang Zhuang, Xiaotong Li, Zhichen Gong, Zeyuan Wang, Yu Zhao, Jianhua Yao, Keyan Ding, Huajun Chen:
Knowledge-aware Reinforced Language Models for Protein Directed Evolution. ICML 2024 - [c28]Qingyu Yin, Xuzheng He, Xiang Zhuang, Yu Zhao, Jianhua Yao, Xiaoyu Shen, Qiang Zhang:
StableMask: Refining Causal Masking in Decoder-only Transformer. ICML 2024 - [i25]Qiang Zhang, Keyang Ding, Tianwen Lyv, Xinda Wang, Qingyu Yin, Yiwen Zhang, Jing Yu, Yuhao Wang, Xiaotong Li, Zhuoyi Xiang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Mengyao Zhang, Jinlu Zhang, Jiyu Cui, Renjun Xu, Hongyang Chen, Xiaohui Fan, Huabin Xing, Huajun Chen:
Scientific Large Language Models: A Survey on Biological & Chemical Domains. CoRR abs/2401.14656 (2024) - [i24]Hongyang Chen, Can Xu, Lingyu Zheng, Qiang Zhang, Xuemin Lin:
Diffusion-based graph generative methods. CoRR abs/2401.15617 (2024) - [i23]Qingyu Yin, Xuzheng He, Xiang Zhuang, Yu Zhao, Jianhua Yao, Xiaoyu Shen, Qiang Zhang:
StableMask: Refining Causal Masking in Decoder-only Transformer. CoRR abs/2402.04779 (2024) - [i22]Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shu-Tao Xia:
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. CoRR abs/2404.04998 (2024) - [i21]Kehua Feng, Keyan Ding, Kede Ma, Zhihua Wang, Qiang Zhang, Huajun Chen:
Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition. CoRR abs/2404.08008 (2024) - [i20]Kehua Feng, Keyan Ding, Weijie Wang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Yu Zhao, Jianhua Yao, Qiang Zhang, Huajun Chen:
SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models. CoRR abs/2406.09098 (2024) - 2023
- [j4]Yin Fang, Qiang Zhang, Ningyu Zhang, Zhuo Chen, Xiang Zhuang, Xin Shao, Xiaohui Fan, Huajun Chen:
Knowledge graph-enhanced molecular contrastive learning with functional prompt. Nat. Mac. Intell. 5(5): 542-553 (2023) - [j3]Shangsong Liang, Shaowei Tang, Zaiqiao Meng, Qiang Zhang:
Cross-Temporal Snapshot Alignment for Dynamic Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2406-2420 (2023) - [c27]Hossein A. Rahmani, Xi Wang, Yue Feng, Qiang Zhang, Emine Yilmaz, Aldo Lipani:
A Survey on Asking Clarification Questions Datasets in Conversational Systems. ACL (1) 2023: 2698-2716 - [c26]Ming Qin, Keyan Ding, Bin Wu, Zhenping Li, Haihong Yang, Zeyuan Wang, Hongbin Ye, Haoran Yu, Huajun Chen, Qiang Zhang:
Active Finetuning Protein Language Model: A Budget-Friendly Method for Directed Evolution. ECAI 2023: 1914-1921 - [c25]Panfeng Cao, Ye Wang, Qiang Zhang, Zaiqiao Meng:
GenKIE: Robust Generative Multimodal Document Key Information Extraction. EMNLP (Findings) 2023: 14702-14713 - [c24]Bin Wu, Jinyuan Fang, Xiangxiang Zeng, Shangsong Liang, Qiang Zhang:
Adaptive Compositional Continual Meta-Learning. ICML 2023: 37358-37378 - [c23]Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen:
Graph Sampling-based Meta-Learning for Molecular Property Prediction. IJCAI 2023: 4729-4737 - [c22]Lingbing Guo, Weiqing Wang, Zhuo Chen, Ningyu Zhang, Zequn Sun, Yixuan Lai, Qiang Zhang, Huajun Chen:
Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems. NeurIPS 2023 - [c21]Xiang Zhuang, Qiang Zhang, Keyan Ding, Yatao Bian, Xiao Wang, Jingsong Lv, Hongyang Chen, Huajun Chen:
Learning Invariant Molecular Representation in Latent Discrete Space. NeurIPS 2023 - [i19]Lingbing Guo, Weiqing Wang, Zhuo Chen, Ningyu Zhang, Zequn Sun, Yixuan Lai, Qiang Zhang, Huajun Chen:
Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems. CoRR abs/2305.14642 (2023) - [i18]Hossein A. Rahmani, Xi Wang, Yue Feng, Qiang Zhang, Emine Yilmaz, Aldo Lipani:
A Survey on Asking Clarification Questions Datasets in Conversational Systems. CoRR abs/2305.15933 (2023) - [i17]Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen:
Graph Sampling-based Meta-Learning for Molecular Property Prediction. CoRR abs/2306.16780 (2023) - [i16]Zeyuan Wang, Qiang Zhang, Keyan Ding, Ming Qin, Xiang Zhuang, Xiaotong Li, Huajun Chen:
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction. CoRR abs/2310.03269 (2023) - [i15]Xiang Zhuang, Qiang Zhang, Keyan Ding, Yatao Bian, Xiao Wang, Jingsong Lv, Hongyang Chen, Huajun Chen:
Learning Invariant Molecular Representation in Latent Discrete Space. CoRR abs/2310.14170 (2023) - [i14]Panfeng Cao, Ye Wang, Qiang Zhang, Zaiqiao Meng:
GenKIE: Robust Generative Multimodal Document Key Information Extraction. CoRR abs/2310.16131 (2023) - 2022
- [j2]Yun Zuo, Yue Hong, Xiangxiang Zeng, Qiang Zhang, Xiangrong Liu:
MLysPRED: graph-based multi-view clustering and multi-dimensional normal distribution resampling techniques to predict multiple lysine sites. Briefings Bioinform. 23(5) (2022) - [j1]Yaoxin Pan, Shangsong Liang, Jiaxin Ren, Zaiqiao Meng, Qiang Zhang:
Personalized, Sequential, Attentive, Metric-Aware Product Search. ACM Trans. Inf. Syst. 40(2): 36:1-36:29 (2022) - [c20]Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen:
Molecular Contrastive Learning with Chemical Element Knowledge Graph. AAAI 2022: 3968-3976 - [c19]Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang:
Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network. AAAI 2022: 5530-5538 - [c18]Zhengxiang Shi, Qiang Zhang, Aldo Lipani:
StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts. AAAI 2022: 11321-11329 - [c17]Yue Feng, Aldo Lipani, Fanghua Ye, Qiang Zhang, Emine Yilmaz:
Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking. ACL (1) 2022: 115-126 - [c16]Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Siyuan Cheng, Haosen Hong, Shumin Deng, Qiang Zhang, Jiazhang Lian, Huajun Chen:
OntoProtein: Protein Pretraining With Gene Ontology Embedding. ICLR 2022 - [c15]Bin Wu, Zaiqiao Meng, Qiang Zhang, Shangsong Liang:
Meta-Learning Helps Personalized Product Search. WWW 2022: 2277-2287 - [i13]Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Siyuan Cheng, Haosen Hong, Shumin Deng, Jiazhang Lian, Qiang Zhang, Huajun Chen:
OntoProtein: Protein Pretraining With Gene Ontology Embedding. CoRR abs/2201.11147 (2022) - [i12]Yin Fang, Qiang Zhang, Zhuo Chen, Xiaohui Fan, Huajun Chen:
Knowledge-informed Molecular Learning: A Survey on Paradigm Transfer. CoRR abs/2202.10587 (2022) - [i11]Yue Feng, Aldo Lipani, Fanghua Ye, Qiang Zhang, Emine Yilmaz:
Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking. CoRR abs/2204.06677 (2022) - [i10]Zhengxiang Shi, Qiang Zhang, Aldo Lipani:
StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts. CoRR abs/2204.08292 (2022) - [i9]Fang Wu, Qiang Zhang, Dragomir R. Radev, Yuyang Wang, Xurui Jin, Yinghui Jiang, Zhangming Niu, Stan Z. Li:
Pre-training of Deep Protein Models with Molecular Dynamics Simulations for Drug Binding. CoRR abs/2204.08663 (2022) - [i8]Fang Wu, Qiang Zhang, Xurui Jin, Yinghui Jiang, Stan Z. Li:
A Score-based Geometric Model for Molecular Dynamics Simulations. CoRR abs/2204.08672 (2022) - [i7]Fang Wu, Siyuan Li, Lirong Wu, Dragomir R. Radev, Qiang Zhang, Stan Z. Li:
Discovering the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions. CoRR abs/2205.07266 (2022) - 2021
- [c14]Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shutao Xia:
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. AAAI 2021: 2755-2763 - [c13]Qiang Zhang, Jonathan Cook, Emine Yilmaz:
Detecting and Forecasting Misinformation via Temporal and Geometric Propagation Patterns. ECIR (2) 2021: 455-462 - [c12]Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Qiang Zhang:
Gaussian Process with Graph Convolutional Kernel for Relational Learning. KDD 2021: 353-363 - [c11]Jinyuan Fang, Qiang Zhang, Zaiqiao Meng, Shangsong Liang:
Structure-Aware Random Fourier Kernel for Graphs. NeurIPS 2021: 17681-17694 - [c10]Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, Emine Yilmaz:
Variational Continual Bayesian Meta-Learning. NeurIPS 2021: 24556-24568 - [c9]Siyuan Liao, Shangsong Liang, Zaiqiao Meng, Qiang Zhang:
Learning Dynamic Embeddings for Temporal Knowledge Graphs. WSDM 2021: 535-543 - [c8]Qiang Zhang, Aldo Lipani, Emine Yilmaz:
Learning Neural Point Processes with Latent Graphs. WWW 2021: 1495-1505 - [c7]Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, Emine Yilmaz:
Slot Self-Attentive Dialogue State Tracking. WWW 2021: 1598-1608 - [i6]Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, Emine Yilmaz:
Slot Self-Attentive Dialogue State Tracking. CoRR abs/2101.09374 (2021) - [i5]Qiang Zhang, Hongbin Huang, Shangsong Liang, Zaiqiao Meng, Emine Yilmaz:
Learning to Detect Few-Shot-Few-Clue Misinformation. CoRR abs/2108.03805 (2021) - [i4]Fang Wu, Qiang Zhang, Dragomir R. Radev, Jiyu Cui, Wen Zhang, Huabin Xing, Ningyu Zhang, Huajun Chen:
3D-Transformer: Molecular Representation with Transformer in 3D Space. CoRR abs/2110.01191 (2021) - [i3]Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen:
Molecular Contrastive Learning with Chemical Element Knowledge Graph. CoRR abs/2112.00544 (2021) - 2020
- [c6]Qiang Zhang, Aldo Lipani, Ömer Kirnap, Emine Yilmaz:
Self-Attentive Hawkes Process. ICML 2020: 11183-11193 - [c5]Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis, Siwei Liu, Yaxiong Wu, Xi Wang, Shangsong Liang, Yucheng Liang, Guangtao Zeng, Junhua Liang, Qiang Zhang:
BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. RecSys 2020: 588-590 - [c4]Qiang Zhang:
Towards Evaluating Veracity of Textual Statements on the Web. SIGIR 2020: 2487
2010 – 2019
- 2019
- [c3]Qiang Zhang, Shangsong Liang, Aldo Lipani, Zhaochun Ren, Emine Yilmaz:
From Stances' Imbalance to Their HierarchicalRepresentation and Detection. WWW 2019: 2323-2332 - [c2]Qiang Zhang, Aldo Lipani, Shangsong Liang, Emine Yilmaz:
Reply-Aided Detection of Misinformation via Bayesian Deep Learning. WWW 2019: 2333-2343 - [i2]Qiang Zhang, Aldo Lipani, Ömer Kirnap, Emine Yilmaz:
Self-Attentive Hawkes Processes. CoRR abs/1907.07561 (2019) - 2018
- [c1]Qiang Zhang, Emine Yilmaz, Shangsong Liang:
Ranking-based Method for News Stance Detection. WWW (Companion Volume) 2018: 41-42 - [i1]Qiang Zhang, Shangsong Liang, Emine Yilmaz:
Variational Self-attention Model for Sentence Representation. CoRR abs/1812.11559 (2018)
Coauthor Index
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last updated on 2024-10-04 19:56 CEST by the dblp team
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