Jun Huang

According to our database, Jun Huang authored at least 106 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

DocLayLLM: An Efficient and Effective Multi-modal Extension of Large Language Models for Text-rich Document Understanding.

Wenhui Liao, Jiapeng Wang, Hongliang Li, Chengyu Wang, Jun Huang, Lianwen Jin

CoRR, 2024

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

Taolin Zhang, Qizhou Chen, Dongyang Li, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue, Jun Huang

CoRR, 2024

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

Jiaqi Xu, Xinyi Zou, Kunzhe Huang, Yunkuo Chen, Bo Liu, Mengli Cheng, Xing Shi, Jun Huang

CoRR, 2024

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

Yuanhao Yue, Chengyu Wang, Jun Huang, Peng Wang

CoRR, 2024

AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework.

Xiang Li, Zhenyu Li, Chen Shi, Yong Xu, Qing Du, Mingkui Tan, Jun Huang, Wei Lin

CoRR, 2024

Do Large Language Models Understand Logic or Just Mimick Context?

Junbing Yan, Chengyu Wang, Jun Huang, Wei Zhang

CoRR, 2024

Making Small Language Models Better Multi-task Learners with Mixture-of-Task-Adapters.

Yukang Xie, Chengyu Wang, Junbing Yan, Jiyong Zhou, Feiqi Deng, Jun Huang

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.

Zhenzhen Chu, Jiayu Chen, Cen Chen, Chengyu Wang, Ziheng Wu, Jun Huang, Weining Qian

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

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

Zhongjie Duan, Lizhou You, Chengyu Wang, Cen Chen, Ziheng Wu, Weining Qian, Jun Huang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning.

Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Attentive Linguistic Tracking in Diffusion Models for Training-free Text-guided Image Editing.

Bingyan Liu, Chengyu Wang, Jun Huang, Kui Jia

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

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

Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models.

Jiapeng Wang, Chengyu Wang, Kunzhe Huang, Jun Huang, Lianwen Jin

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Taolin Zhang, Dongyang Li, Qizhou Chen, Chengyu Wang, Longtao Huang, Hui Xue, Xiaofeng He, Jun Huang

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

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

Bingyan Liu, Chengyu Wang, Tingfeng Cao, Kui Jia, Jun Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models.

Junbing Yan, Chengyu Wang, Taolin Zhang, Xiaofeng He, Jun Huang, Wei Zhang, Longtao Huang, Hui Xue

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework.

Xiang Li, Zhenyu Li, Chen Shi, Yong Xu, Qing Du, Mingkui Tan, Jun Huang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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

Taolin Zhang, Qizhou Chen, Dongyang Li, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue', Jun Huang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Jiapeng Wang, Chengyu Wang, Tingfeng Cao, Jun Huang, Lianwen Jin

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Dongyang Li, Junbing Yan, Taolin Zhang, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue, Jun Huang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis.

Ning Zhang, Hiuyi Cheng, Jiayu Chen, Zongyuan Jiang, Jun Huang, Yang Xue, Lianwen Jin

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.

Xiangru Zhu, Penglei Sun, Chengyu Wang, Jingping Liu, Zhixu Li, Yanghua Xiao, Jun Huang

CoRR, 2023

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

Chengyu Wang, Junbing Yan, Wei Zhang, Jun Huang

CoRR, 2023

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

Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang, Mingyi Jin

CoRR, 2023

Hierarchical Side-Tuning for Vision Transformers.

Weifeng Lin, Ziheng Wu, Jiayu Chen, Wentao Yang, Mingxin Huang, Jun Huang, Lianwen Jin

CoRR, 2023

EasyPhoto: Your Smart AI Photo Generator.

Ziheng Wu, Jiaqi Xu, Xinyi Zou, Kunzhe Huang, Xing Shi, Jun Huang

CoRR, 2023

Boosting In-Context Learning with Factual Knowledge.

Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao

CoRR, 2023

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

Chengyu Wang, Zhongjie Duan, Bingyan Liu, Xinyi Zou, Cen Chen, Kui Jia, Jun Huang

CoRR, 2023

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

Jianing Wang, Chengyu Wang, Cen Chen, Ming Gao, Jun Huang, Aoying Zhou

CoRR, 2023

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

Mingyuan Fan, Cen Chen, Chengyu Wang, Jun Huang

CoRR, 2023

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

Jiapeng Wang, Chengyu Wang, Xiaodan Wang, Jun Huang, Lianwen Jin

CoRR, 2023

Match4Match: Enhancing Text-Video Retrieval by Maximum Flow with Minimum Cost.

Zhongjie Duan, Chengyu Wang, Cen Chen, Wenmeng Zhou, Jun Huang, Weining Qian

Proceedings of the ACM Web Conference 2023, 2023

Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning.

Ziyun Xu, Chengyu Wang, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, Jun Huang

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.

Xiaodan Wang, Lei Li, Zhixu Li, Xuwu Wang, Xiangru Zhu, Chengyu Wang, Jun Huang, Yanghua Xiao

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

UKT: A Unified Knowledgeable Tuning Framework for Chinese Information Extraction.

Jiyong Zhou, Chengyu Wang, Junbing Yan, Jianing Wang, Yukang Xie, Jun Huang, Ying Gao

Proceedings of the Natural Language Processing and Chinese Computing, 2023

Detection Transformer with Stable Matching.

Shilong Liu, Tianhe Ren, Jiayu Chen, Zhaoyang Zeng, Hao Zhang, Feng Li, Hongyang Li, Jun Huang, Hang Su, Jun Zhu, Lei Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Scale-Aware Modulation Meet Transformer.

Weifeng Lin, Ziheng Wu, Jiayu Chen, Jun Huang, Lianwen Jin

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.

Boyu Hou, Chengyu Wang, Xiaoqing Chen, Minghui Qiu, Liang Feng, Jun Huang

Proceedings of the IEEE International Conference on Acoustics, 2023

Boosting Prompt-Based Few-Shot Learners Through Out-of-Domain Knowledge Distillation.

Xiaoqing Chen, Chengyu Wang, Junwei Dong, Minghui Qiu, Liang Feng, Jun Huang

Proceedings of the IEEE International Conference on Acoustics, 2023

From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models.

Junbing Yan, Chengyu Wang, Taolin Zhang, Xiaofeng He, Jun Huang, Wei Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding.

Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li

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.

Tingfeng Cao, Chengyu Wang, Chuanqi Tan, Jun Huang, Jinhui Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis.

Tingfeng Cao, Chengyu Wang, Bingyan Liu, Ziheng Wu, Jinhui Zhu, Jun Huang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

On the Robustness of Split Learning Against Adversarial Attacks.

Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang

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.

Zhongjie Duan, Chengyu Wang, Cen Chen, Jun Huang, Weining Qian

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning.

Zhenru Zhang, Chuanqi Tan, Haiyang Xu, Chengyu Wang, Jun Huang, Songfang Huang

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.

Jiapeng Wang, Chengyu Wang, Xiaodan Wang, Jun Huang, Lianwen Jin

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.

Xiaodan Wang, Chengyu Wang, Lei Li, Zhixu Li, Ben Chen, Linbo Jin, Jun Huang, Yanghua Xiao, Ming Gao

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.

Bingyan Liu, Weifeng Lin, Zhongjie Duan, Chengyu Wang, Ziheng Wu, Zhang Zipeng, Kui Jia, Lianwen Jin, Cen Chen, Jun Huang

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.

Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

ARoBERT: An ASR Robust Pre-Trained Language Model for Spoken Language Understanding.

Chengyu Wang, Suyang Dai, Yipeng Wang, Fei Yang, Minghui Qiu, Kehan Chen, Wei Zhou, Jun Huang

IEEE ACM Trans. Audio Speech Lang. Process., 2022

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

Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang, Ximeng Liu, Wenzhong Guo

CoRR, 2022

YOLOX-PAI: An Improved YOLOX Version by PAI.

Xinyi Zou, Ziheng Wu, Wenmeng Zhou, Jun Huang

CoRR, 2022

Optimizing Federated Unsupervised Person Re-identification via Camera-aware Clustering.

Jiabei Liu, Weiming Zhuang, Yonggang Wen, Jun Huang, Wei Lin

Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Quantized Winograd Acceleration for CONV1D Equipped ASR Models on Mobile Devices.

Yiwu Yao, Chengyu Wang, Jun Huang

Proceedings of the IEEE International Conference on Acoustics, 2022

Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training.

Taolin Zhang, Junwei Dong, Jianing Wang, Chengyu Wang, Ang Wang, Yinghui Liu, Jun Huang, Yong Li, Xiaofeng He

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.

Chengyu Wang, Minghui Qiu, Taolin Zhang, Tingting Liu, Lei Li, Jianing Wang, Ming Wang, Jun Huang, Wei Lin

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.

Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering.

Jianing Wang, Chengyu Wang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Jun Huang, Ming Gao

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.

Tingting Liu, Chengyu Wang, Xiangru Zhu, Lei Li, Minghui Qiu, Jun Huang, Ming Gao, Yanghua Xiao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Building Natural Language Processing Applications with EasyNLP.

Chengyu Wang, Minghui Qiu, Jun Huang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

DKPLM: Decomposable Knowledge-Enhanced Pre-trained Language Model for Natural Language Understanding.

Taolin Zhang, Chengyu Wang, Nan Hu, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression.

Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang

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.

Ziyun Xu, Chengyu Wang, Peng Li, Yang Li, Ming Wang, Boyu Hou, Minghui Qiu, Chengguang Tang, Jun Huang

Proceedings of the Natural Language Processing and Chinese Computing, 2021

MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong Learning.

Chengyu Wang, Haojie Pan, Yuan Liu, Kehan Chen, Minghui Qiu, Wei Zhou, Jun Huang, Haiqing Chen, Wei Lin, Deng Cai

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.

Mengli Cheng, Chengyu Wang, Jun Huang, Xiaobo Wang

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.

Chengyu Wang, Jianing Wang, Minghui Qiu, Jun Huang, Ming Gao

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Meta Distant Transfer Learning for Pre-trained Language Models.

Chengyu Wang, Haojie Pan, Minghui Qiu, Jun Huang, Fei Yang, Yin Zhang

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.

Cen Chen, Xinjing Huang, Feng Ji, Chengyu Wang, Minghui Qiu, Jun Huang, Yin Zhang

Proceedings of the Database Systems for Advanced Applications, 2021

HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources.

Taolin Zhang, Zerui Cai, Chengyu Wang, Peng Li, Yang Li, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang

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.

Minghui Qiu, Peng Li, Chengyu Wang, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai, Wei Lin

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.

Haojie Pan, Cen Chen, Chengyu Wang, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang

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.

Taolin Zhang, Chengyu Wang, Minghui Qiu, Bite Yang, Zerui Cai, Xiaofeng He, Jun Huang

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.

Haojie Pan, Chengyu Wang, Minghui Qiu, Yichang Zhang, Yaliang Li, Jun Huang

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.

Minghui Qiu, Xinjing Huang, Cen Chen, Feng Ji, Chen Qu, Wei Wei, Jun Huang, Yin Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification.

Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition.

Chengyu Wang, Mengli Cheng, Xu Hu, Jun Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

Haojie Pan, Cen Chen, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang, Haiqing Chen

CoRR, 2020

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

Minghui Qiu, Peng Li, Hanjie Pan, Chengyu Wang, Ang Wang, Cen Chen, Yaliang Li, Dehong Gao, Jun Huang, Yong Li, Jun Yang, Deng Cai, Wei Lin

CoRR, 2020

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

Yiwu Yao, Yuchao Li, Chengyu Wang, Tianhang Yu, Houjiang Chen, Xiaotang Jiang, Jun Yang, Jun Huang, Wei Lin, Hui Shu, Chengfei Lv

CoRR, 2020

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

Taolin Zhang, Chengyu Wang, Minghui Qiu, Bite Yang, Xiaofeng He, Jun Huang

CoRR, 2020

Weakly Supervised Construction of ASR Systems with Massive Video Data.

Mengli Cheng, Chengyu Wang, Xu Hu, Jun Huang, Xiaobo Wang

CoRR, 2020

SwapText: Image Based Texts Transfer in Scenes.

Qiangpeng Yang, Hongsheng Jin, Jun Huang, Wei Lin

CoRR, 2020

One-shot Text Field labeling using Attention and Belief Propagation for Structure Information Extraction.

Mengli Cheng, Minghui Qiu, Xing Shi, Jun Huang, Wei Lin

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search.

Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining.

Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

SwapText: Image Based Texts Transfer in Scenes.

Qiangpeng Yang, Jun Huang, Wei Lin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Artificial Intelligence for Prosthetics - challenge solutions.

Lukasz Kidzinski, Carmichael F. Ong, Sharada Prasanna Mohanty, Jennifer L. Hicks, Sean F. Carroll, Bo Zhou, Hong-cheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaskowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy D. Watson, Marcel Salathé, Sergey Levine, Scott L. Delp

CoRR, 2019

Multi-Domain Gated CNN for Review Helpfulness Prediction.

Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao

Proceedings of the World Wide Web Conference, 2019

Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching.

Chen Qu, Feng Ji, Minghui Qiu, Liu Yang, Zhiyu Min, Haiqing Chen, Jun Huang, W. Bruce Croft

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

AliISA: Creating an Interactive Search Experience in E-commerce Platforms.

Fei Xiao, Zhen Wang, Haikuan Huang, Jun Huang, Xi Chen, Hongbo Deng, Minghui Qiu, Xiaoli Gong

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.

Bo Wang, Minghui Qiu, Xisen Wang, Yaliang Li, Yu Gong, Xiaoyi Zeng, Jun Huang, Bo Zheng, Deng Cai, Jingren Zhou

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Scene Text Recognition with Auto-Aligned Feature Generator.

Qiangpeng Yang, Hongsheng Jin, Mengli Cheng, Wenmeng Zhou, Jun Huang, Wei Lin

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search.

Minghui Qiu, Bo Wang, Cen Chen, Xiaoyi Zeng, Jun Huang, Deng Cai, Jingren Zhou, Forrest Sheng Bao

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Review Helpfulness Prediction with Embedding-Gated CNN.

Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao

CoRR, 2018

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

Minghui Qiu, Liu Yang, Feng Ji, Weipeng Zhao, Wei Zhou, Jun Huang, Haiqing Chen, W. Bruce Croft, Wei Lin

CoRR, 2018

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

Feng-Lin Li, Minghui Qiu, Haiqing Chen, Xiongwei Wang, Xing Gao, Jun Huang, Juwei Ren, Zhongzhou Zhao, Weipeng Zhao, Lei Wang, Guwei Jin, Wei Chu

CoRR, 2018

Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce.

Jianfei Yu, Minghui Qiu, Jing Jiang, Jun Huang, Shuangyong Song, Wei Chu, Haiqing Chen

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.

Liu Yang, Minghui Qiu, Chen Qu, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Jun Huang, Haiqing Chen

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.

Minghui Qiu, Liu Yang, Feng Ji, Wei Zhou, Jun Huang, Haiqing Chen, W. Bruce Croft, Wei Lin

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).

Xu Hu, Jun Huang, Minghui Qiu, Cen Chen, Wei Chu

CoRR, 2017

PSMART: Parameter Server based Multiple Additive Regression Trees System.

Jun Zhou, Qing Cui, Xiaolong Li, Peilin Zhao, Shenquan Qu, Jun Huang

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

A Short-Term Rainfall Prediction Model Using Multi-task Convolutional Neural Networks.

Minghui Qiu, Peilin Zhao, Ke Zhang, Jun Huang, Xing Shi, Xiaoguang Wang, Wei Chu

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.

Feng-Lin Li, Minghui Qiu, Haiqing Chen, Xiongwei Wang, Xing Gao, Jun Huang, Juwei Ren, Zhongzhou Zhao, Weipeng Zhao, Lei Wang, Guwei Jin, Wei Chu

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

A Communication Efficient Parallel DBSCAN Algorithm based on Parameter Server.

Xu Hu, Jun Huang, Minghui Qiu

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine.

Minghui Qiu, Feng-Lin Li, Siyu Wang, Xing Gao, Yan Chen, Weipeng Zhao, Haiqing Chen, Jun Huang, Wei Chu

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017