Qiang Zhang

Orcid: 0000-0003-1636-5269

Affiliations:
  • Zhejiang University, Hangzhou Innovation Center, China
  • University College London, Centre for Artificial Intelligence, UK (PhD)


According to our database1, Qiang Zhang authored at least 49 papers between 2018 and 2024.

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Timeline

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Bibliography

2024
SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models.
CoRR, 2024

Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition.
CoRR, 2024

Diffusion-based graph generative methods.
CoRR, 2024

Scientific Large Language Models: A Survey on Biological & Chemical Domains.
CoRR, 2024

StableMask: Refining Causal Masking in Decoder-only Transformer.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Knowledge-aware Reinforced Language Models for Protein Directed Evolution.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

ProTeM: Unifying Protein Function Prediction via Text Matching.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

DET: A Dual-Encoding Transformer for Relational Graph Embedding.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

InstructProtein: Aligning Human and Protein Language via Knowledge Instruction.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Enhancing Cross Text-Molecule Learning by Self-Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Knowledge graph-enhanced molecular contrastive learning with functional prompt.
Nat. Mac. Intell., May, 2023

Cross-Temporal Snapshot Alignment for Dynamic Networks.
IEEE Trans. Knowl. Data Eng., March, 2023

Learning Invariant Molecular Representation in Latent Discrete Space.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Sampling-based Meta-Learning for Molecular Property Prediction.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Adaptive Compositional Continual Meta-Learning.
Proceedings of the International Conference on Machine Learning, 2023

GenKIE: Robust Generative Multimodal Document Key Information Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Active Finetuning Protein Language Model: A Budget-Friendly Method for Directed Evolution.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

A Survey on Asking Clarification Questions Datasets in Conversational Systems.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Personalized, Sequential, Attentive, Metric-Aware Product Search.
ACM Trans. Inf. Syst., 2022

Discovering the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions.
CoRR, 2022

A Score-based Geometric Model for Molecular Dynamics Simulations.
CoRR, 2022

Pre-training of Deep Protein Models with Molecular Dynamics Simulations for Drug Binding.
CoRR, 2022

Knowledge-informed Molecular Learning: A Survey on Paradigm Transfer.
CoRR, 2022

MLysPRED: graph-based multi-view clustering and multi-dimensional normal distribution resampling techniques to predict multiple lysine sites.
Briefings Bioinform., 2022

Meta-Learning Helps Personalized Product Search.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

OntoProtein: Protein Pretraining With Gene Ontology Embedding.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Molecular Contrastive Learning with Chemical Element Knowledge Graph.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
3D-Transformer: Molecular Representation with Transformer in 3D Space.
CoRR, 2021

Learning to Detect Few-Shot-Few-Clue Misinformation.
CoRR, 2021

Learning Neural Point Processes with Latent Graphs.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Slot Self-Attentive Dialogue State Tracking.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning Dynamic Embeddings for Temporal Knowledge Graphs.
Proceedings of the WSDM '21, 2021

Variational Continual Bayesian Meta-Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Structure-Aware Random Fourier Kernel for Graphs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Gaussian Process with Graph Convolutional Kernel for Relational Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Detecting and Forecasting Misinformation via Temporal and Geometric Propagation Patterns.
Proceedings of the Advances in Information Retrieval, 2021

Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Towards Evaluating Veracity of Textual Statements on the Web.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Self-Attentive Hawkes Process.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Self-Attentive Hawkes Processes.
CoRR, 2019

Reply-Aided Detection of Misinformation via Bayesian Deep Learning.
Proceedings of the World Wide Web Conference, 2019

From Stances' Imbalance to Their HierarchicalRepresentation and Detection.
Proceedings of the World Wide Web Conference, 2019

2018
Variational Self-attention Model for Sentence Representation.
CoRR, 2018

Ranking-based Method for News Stance Detection.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018


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