Zhouhan Lin

Orcid: 0009-0009-7204-0689

According to our database1, Zhouhan Lin authored at least 65 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention.
CoRR, 2024

Training-free LLM-generated Text Detection by Mining Token Probability Sequences.
CoRR, 2024

Autoregressive Enzyme Function Prediction with Multi-scale Multi-modality Fusion.
CoRR, 2024

Critical Data Size of Language Models from a Grokking Perspective.
CoRR, 2024

GeoGalactica: A Scientific Large Language Model in Geoscience.
CoRR, 2024

K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

SWave: Improving Vocoder Efficiency by Straightening the Waveform Generation Path.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Graph Parsing Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Controlled Table-to-Text Generation with Scientific Reasoning.
Proceedings of the IEEE International Conference on Acoustics, 2024

Enable Fast Sampling for Seq2Seq Text Diffusion.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Leveraging Grammar Induction for Language Understanding and Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Mirror-Consistency: Harnessing Inconsistency in Majority Voting.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Extracting Financial Events from Raw Texts via Matrix Chunking.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Enhancing SPARQL Generation by Triplet-order-sensitive Pre-training.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Breaking the Bottleneck on Graphs with Structured State Spaces.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
HuRef: HUman-REadable Fingerprint for Large Language Models.
CoRR, 2023

Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization.
CoRR, 2023

Few-Shot Table-to-Text Generation with Prompt-based Adapter.
CoRR, 2023

Tailoring Self-Attention for Graph via Rooted Subtrees.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

I2SRM: Intra- and Inter-Sample Relationship Modeling for Multimodal Information Extraction.
Proceedings of the ACM Multimedia Asia 2023, 2023

Document-Level Relation Extraction with Relation Correlation Enhancement.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Text Classification In The Wild: A Large-Scale Long-Tailed Name Normalization Dataset.
Proceedings of the IEEE International Conference on Acoustics, 2023

Asymmetric Polynomial Loss for Multi-Label Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023

Unsupervised Graph-Text Mutual Conversion with a Unified Pretrained Language Model.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
INFINITY: A Simple Yet Effective Unsupervised Framework for Graph-Text Mutual Conversion.
CoRR, 2022

RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL.
CoRR, 2022

Text Editing as Imitation Game.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Syntax-guided Localized Self-attention by Constituency Syntactic Distance.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Revisit Systematic Generalization via Meaningful Learning.
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Transkimmer: Transformer Learns to Layer-wise Skim.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Block-Skim: Efficient Question Answering for Transformer.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Spatial-Spectral Transformer for Hyperspectral Image Classification.
Remote. Sens., 2021

Annotation Inconsistency and Entity Bias in MultiWOZ.
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Incorporating External POS Tagger for Punctuation Restoration.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020
Reciprocal Supervised Learning Improves Neural Machine Translation.
CoRR, 2020

Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Ordered Memory.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Interactive Language Learning by Question Answering.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
A Deep Reinforcement Learning Chatbot (Short Version).
CoRR, 2018

Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences.
Proceedings of The Third Workshop on Representation Learning for NLP, 2018

Focused Hierarchical RNNs for Conditional Sequence Processing.
Proceedings of the 35th International Conference on Machine Learning, 2018

Neural Language Modeling by Jointly Learning Syntax and Lexicon.
Proceedings of the 6th International Conference on Learning Representations, 2018

Straight to the Tree: Constituency Parsing with Neural Syntactic Distance.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
A Deep Reinforcement Learning Chatbot.
CoRR, 2017

A Structured Self-Attentive Sentence Embedding.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Recurrent Neural Networks With Limited Numerical Precision.
CoRR, 2016

Neural Networks with Few Multiplications.
Proceedings of the 4th International Conference on Learning Representations, 2016

Theano: A Python framework for fast computation of mathematical expressions.
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CoRR, 2016

Architectural Complexity Measures of Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
How far can we go without convolution: Improving fully-connected networks.
CoRR, 2015

Towards Biologically Plausible Deep Learning.
CoRR, 2015

2014
Optimizing Subspace SVM Ensemble for Hyperspectral Imagery Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Deep Learning-Based Classification of Hyperspectral Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Joint Adaboost and multifeature based ensemble for hyperspectral image classification.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Parallel Acceleration of SAM Algorithm and Performance Analysis.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

Supervised Locally Linear Embedding based dimension reduction for hyperspectral image classification.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Riemannian manifold learning based k-nearest-neighbor for hyperspectral image classification.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Spectral-spatial classification of hyperspectral image using autoencoders.
Proceedings of the 9th International Conference on Information, 2013

2012
Parallel implementation for SAM algorithm based on GPU and distributed computing.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012


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