Jun Huang

Orcid: 0000-0002-7706-7081

Affiliations:
  • Alibaba Group, Hangzhou, China


According to our database1, Jun Huang authored at least 100 papers between 2017 and 2024.

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Bibliography

2024
On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models.
CoRR, 2024

DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models.
CoRR, 2024

EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture.
CoRR, 2024

Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning.
CoRR, 2024

R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models.
CoRR, 2024

DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation.
CoRR, 2024

Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing.
CoRR, 2024

Do Large Language Models Understand Logic or Just Mimick Context?
CoRR, 2024

Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models.
CoRR, 2024

Making Small Language Models Better Multi-task Learners with Mixture-of-Task-Adapters.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics.
CoRR, 2023

Towards Better Parameter-Efficient Fine-Tuning for Large Language Models: A Position Paper.
CoRR, 2023

FastBlend: a Powerful Model-Free Toolkit Making Video Stylization Easier.
CoRR, 2023

Hierarchical Side-Tuning for Vision Transformers.
CoRR, 2023

EasyPhoto: Your Smart AI Photo Generator.
CoRR, 2023

Boosting In-Context Learning with Factual Knowledge.
CoRR, 2023

PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud.
CoRR, 2023

TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification.
CoRR, 2023

DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis.
CoRR, 2023

On the Trustworthiness Landscape of State-of-the-art Generative Models: A Comprehensive Survey.
CoRR, 2023

ConaCLIP: Exploring Distillation of Fully-Connected Knowledge Interaction Graph for Lightweight Text-Image Retrieval.
CoRR, 2023

Detection Transformer with Stable Matching.
CoRR, 2023

Match4Match: Enhancing Text-Video Retrieval by Maximum Flow with Minimum Cost.
Proceedings of the ACM Web Conference 2023, 2023

Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

AGREE: Aligning Cross-Modal Entities for Image-Text Retrieval Upon Vision-Language Pre-trained Models.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

UKT: A Unified Knowledgeable Tuning Framework for Chinese Information Extraction.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Detection Transformer with Stable Matching.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Scale-Aware Modulation Meet Transformer.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Prompt-Distiller: Few-Shot Knowledge Distillation for Prompt-Based Language Learners with Dual Contrastive Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Boosting Prompt-Based Few-Shot Learners Through Out-of-Domain Knowledge Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2023

From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Sharing, Teaching and Aligning: Knowledgeable Transfer Learning for Cross-Lingual Machine Reading Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

On the Robustness of Split Learning Against Adversarial Attacks.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

CocaCLIP: Exploring Distillation of Fully-Connected Knowledge Interaction Graph for Lightweight Text-Image Retrieval.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

FashionKLIP: Enhancing E-Commerce Image-Text Retrieval with Fashion Multi-Modal Conceptual Knowledge Graph.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
ARoBERT: An ASR Robust Pre-Trained Language Model for Spoken Language Understanding.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning.
CoRR, 2022

YOLOX-PAI: An Improved YOLOX Version by PAI.
CoRR, 2022

Optimizing Federated Unsupervised Person Re-identification via Camera-aware Clustering.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Quantized Winograd Acceleration for CONV1D Equipped ASR Models on Mobile Devices.
Proceedings of the IEEE International Conference on Acoustics, 2022

Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ARTIST: A Transformer-based Chinese Text-to-Image Synthesizer Digesting Linguistic and World Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Building Natural Language Processing Applications with EasyNLP.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

DKPLM: Decomposable Knowledge-Enhanced Pre-trained Language Model for Natural Language Understanding.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
When Few-Shot Learning Meets Large-Scale Knowledge-Enhanced Pre-training: Alibaba at FewCLUE.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Weakly Supervised Construction of ASR Systems from Massive Video Data.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Meta Distant Transfer Learning for Pre-trained Language Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CAT-BERT: A Context-Aware Transferable BERT Model for Multi-turn Machine Reading Comprehension.
Proceedings of the Database Systems for Advanced Applications, 2021

HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Reinforced History Backtracking for Conversational Question Answering.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations.
CoRR, 2020

EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications.
CoRR, 2020

INT8 Winograd Acceleration for Conv1D Equipped ASR Models Deployed on Mobile Devices.
CoRR, 2020

Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources.
CoRR, 2020

Weakly Supervised Construction of ASR Systems with Massive Video Data.
CoRR, 2020

SwapText: Image Based Texts Transfer in Scenes.
CoRR, 2020

One-shot Text Field labeling using Attention and Belief Propagation for Structure Information Extraction.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

SwapText: Image Based Texts Transfer in Scenes.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Artificial Intelligence for Prosthetics - challenge solutions.
CoRR, 2019

Multi-Domain Gated CNN for Review Helpfulness Prediction.
Proceedings of the World Wide Web Conference, 2019

Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

AliISA: Creating an Interactive Search Experience in E-commerce Platforms.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

A Minimax Game for Instance based Selective Transfer Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Scene Text Recognition with Auto-Aligned Feature Generator.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Review Helpfulness Prediction with Embedding-Gated CNN.
CoRR, 2018

Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce.
CoRR, 2018

AliMe Assist: An Intelligent Assistant for Creating an Innovative E-commerce Experience.
CoRR, 2018

Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
PS-DBSCAN: An Efficient Parallel DBSCAN Algorithm Based on Platform Of AI (PAI).
CoRR, 2017

PSMART: Parameter Server based Multiple Additive Regression Trees System.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

A Short-Term Rainfall Prediction Model Using Multi-task Convolutional Neural Networks.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

<i>AliMe Assist </i>: An Intelligent Assistant for Creating an Innovative E-commerce Experience.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

A Communication Efficient Parallel DBSCAN Algorithm based on Parameter Server.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017


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