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ORCIDJun Huang 0007
Person information
- affiliation: Alibaba Group, Hangzhou, China
Other persons with the same name
- Jun Huang — disambiguation page
- Jun Huang 0001
![[0000-0002-6862-4122]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6862-4122")
— Peking University, School of EECS, Center for Energy-Efficient Computing and Applications, China (and 1 more) - Jun Huang 0002 — Northwestern Polytechnical University, School of Cybersecurity, Xian, China (and 3 more)
- Jun Huang 0003 — University of Chinese Academy of Sciences, School of Computer and Control Engineering, Beijing, China (and 1 more)
- Jun Huang 0004 — Jiangsu University, National Research Center of Pumps, Research Center of Fluid Machinery Engineering and Technology, Zhenjiang, China (and 1 more)
- Jun Huang 0005 — China Academy of Engineering Physics, Institute of Electronic Engineering, Minayang, China (and 1 more)
- Jun Huang 0006 — Soochow University, School of Mechanical and Electrical Engineering, Suzhou, China
- Jun Huang 0008 — Wuhan University, Electronic Information School, Wuhan, China
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2020 – today
- 2024
[c77]Ning Zhang, Hiuyi Cheng, Jiayu Chen, Zongyuan Jiang, Jun Huang, Yang Xue, Lianwen Jin:
M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis. AAAI 2024: 7233-7241- [c76]Dongyang Li, Junbing Yan, Taolin Zhang, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue, Jun Huang:
On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models. ACL (Short Papers) 2024: 120-126 - [c75]Taolin Zhang, Qizhou Chen, Dongyang Li, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue', Jun Huang:
DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models. ACL (Findings) 2024: 1588-1602 - [c74]Jiapeng Wang, Chengyu Wang, Tingfeng Cao, Jun Huang, Lianwen Jin:
DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation. ACL (Findings) 2024: 8826-8840 - [c73]Xiang Li, Zhenyu Li, Chen Shi, Yong Xu, Qing Du, Mingkui Tan, Jun Huang:
AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework. LREC/COLING 2024: 773-783 - [c72]Junbing Yan, Chengyu Wang, Taolin Zhang, Xiaofeng He, Jun Huang, Wei Zhang, Longtao Huang, Hui Xue:
TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models. LREC/COLING 2024: 16790-16801 - [c71]Bingyan Liu, Chengyu Wang, Tingfeng Cao, Kui Jia, Jun Huang:
Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing. CVPR 2024: 7817-7826 - [c70]Taolin Zhang, Dongyang Li, Qizhou Chen, Chengyu Wang, Longtao Huang, Hui Xue, Xiaofeng He, Jun Huang:
R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models. ECAI 2024: 2314-2321 - [c69]Yuanhao Yue, Chengyu Wang, Jun Huang, Peng Wang:
Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning. EMNLP (Findings) 2024: 6030-6054 - [c68]Jiapeng Wang, Chengyu Wang, Kunzhe Huang, Jun Huang, Lianwen Jin:
VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models. EMNLP 2024: 16061-16075 - [c67]Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang:
Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models. IJCAI 2024: 7645-7653 - [c66]Bingyan Liu, Chengyu Wang, Jun Huang, Kui Jia:
Attentive Linguistic Tracking in Diffusion Models for Training-free Text-guided Image Editing. ACM Multimedia 2024: 4158-4166 - [c65]Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao:
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning. NAACL-HLT (Findings) 2024: 3261-3280 - [c64]Zhongjie Duan, Lizhou You, Chengyu Wang, Cen Chen, Ziheng Wu, Weining Qian, Jun Huang:
DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis. ECML/PKDD (10) 2024: 332-347 - [c63]Zhenzhen Chu, Jiayu Chen, Cen Chen, Chengyu Wang, Ziheng Wu, Jun Huang, Weining Qian:
DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion. SDM 2024: 688-696 - [c62]Yukang Xie, Chengyu Wang, Junbing Yan, Jiyong Zhou, Feiqi Deng, Jun Huang:
Making Small Language Models Better Multi-task Learners with Mixture-of-Task-Adapters. WSDM 2024: 1094-1097 - [i65]Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang:
Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models. CoRR abs/2401.16224 (2024) - [i64]Junbing Yan, Chengyu Wang, Jun Huang, Wei Zhang:
Do Large Language Models Understand Logic or Just Mimick Context? CoRR abs/2402.12091 (2024) - [i63]Bingyan Liu, Chengyu Wang, Tingfeng Cao, Kui Jia, Jun Huang:
Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing. CoRR abs/2403.03431 (2024) - [i62]Jiapeng Wang, Chengyu Wang, Tingfeng Cao, Jun Huang, Lianwen Jin:
DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation. CoRR abs/2403.04997 (2024) - [i61]Junbing Yan, Chengyu Wang, Taolin Zhang, Xiaofeng He, Jun Huang, Longtao Huang, Hui Xue, Wei Zhang:
TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models. CoRR abs/2403.11203 (2024) - [i60]Xiang Li, Zhenyu Li, Chen Shi, Yong Xu, Qing Du, Mingkui Tan, Jun Huang, Wei Lin:
AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework. CoRR abs/2403.12582 (2024) - [i59]Yuanhao Yue, Chengyu Wang, Jun Huang, Peng Wang:
Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning. CoRR abs/2405.13448 (2024) - [i58]Jiaqi Xu, Xinyi Zou, Kunzhe Huang, Yunkuo Chen, Bo Liu, Mengli Cheng, Xing Shi, Jun Huang:
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture. CoRR abs/2405.18991 (2024) - [i57]Taolin Zhang, Qizhou Chen, Dongyang Li, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue, Jun Huang:
DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models. CoRR abs/2405.20588 (2024) - [i56]Dongyang Li, Junbing Yan, Taolin Zhang, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue, Jun Huang:
On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models. CoRR abs/2406.16367 (2024) - [i55]Wenhui Liao, Jiapeng Wang, Hongliang Li, Chengyu Wang, Jun Huang, Lianwen Jin:
DocLayLLM: An Efficient and Effective Multi-modal Extension of Large Language Models for Text-rich Document Understanding. CoRR abs/2408.15045 (2024) - [i54]Jiapeng Wang, Chengyu Wang, Kunzhe Huang, Jun Huang, Lianwen Jin:
VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models. CoRR abs/2410.00741 (2024) - [i53]Xiangru Zhu, Penglei Sun, Yaoxian Song, Yanghua Xiao, Zhixu Li, Chengyu Wang, Jun Huang, Bei Yang, Xiaoxiao Xu:
Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective. CoRR abs/2410.10291 (2024) - 2023
- [c61]Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou:
Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling. AAAI 2023: 13682-13690 - [c60]Jiapeng Wang, Chengyu Wang, Xiaodan Wang, Jun Huang, Lianwen Jin:
CocaCLIP: Exploring Distillation of Fully-Connected Knowledge Interaction Graph for Lightweight Text-Image Retrieval. ACL (industry) 2023: 71-80 - [c59]Xiaodan Wang, Chengyu Wang, Lei Li, Zhixu Li, Ben Chen, Linbo Jin, Jun Huang, Yanghua Xiao, Ming Gao:
FashionKLIP: Enhancing E-Commerce Image-Text Retrieval with Fashion Multi-Modal Conceptual Knowledge Graph. ACL (industry) 2023: 149-158 - [c58]Bingyan Liu, Weifeng Lin, Zhongjie Duan, Chengyu Wang, Ziheng Wu, Zhang Zipeng, Kui Jia, Lianwen Jin, Cen Chen, Jun Huang:
Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed. ACL (industry) 2023: 295-304 - [c57]Zhenru Zhang, Chuanqi Tan, Haiyang Xu, Chengyu Wang, Jun Huang, Songfang Huang:
Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning. ACL (2) 2023: 1239-1248 - [c56]Zhongjie Duan, Chengyu Wang, Cen Chen, Jun Huang, Weining Qian:
Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models. CIKM 2023: 463-472 - [c55]Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang:
On the Robustness of Split Learning Against Adversarial Attacks. ECAI 2023: 668-675 - [c54]Tingfeng Cao, Chengyu Wang, Bingyan Liu, Ziheng Wu, Jinhui Zhu, Jun Huang:
BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis. EMNLP (Industry Track) 2023: 1-11 - [c53]Tingfeng Cao, Chengyu Wang, Chuanqi Tan, Jun Huang, Jinhui Zhu:
Sharing, Teaching and Aligning: Knowledgeable Transfer Learning for Cross-Lingual Machine Reading Comprehension. EMNLP (Findings) 2023: 455-467 - [c52]Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li:
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. EMNLP (Findings) 2023: 7873-7884 - [c51]Junbing Yan, Chengyu Wang, Taolin Zhang, Xiaofeng He, Jun Huang, Wei Zhang:
From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models. EMNLP (Findings) 2023: 12413-12425 - [c50]Xiaoqing Chen, Chengyu Wang, Junwei Dong, Minghui Qiu, Liang Feng, Jun Huang:
Boosting Prompt-Based Few-Shot Learners Through Out-of-Domain Knowledge Distillation. ICASSP 2023: 1-5 - [c49]Boyu Hou, Chengyu Wang, Xiaoqing Chen, Minghui Qiu, Liang Feng, Jun Huang:
Prompt-Distiller: Few-Shot Knowledge Distillation for Prompt-Based Language Learners with Dual Contrastive Learning. ICASSP 2023: 1-5 - [c48]Weifeng Lin, Ziheng Wu, Jiayu Chen, Jun Huang, Lianwen Jin:
Scale-Aware Modulation Meet Transformer. ICCV 2023: 5992-6003 - [c47]Shilong Liu, Tianhe Ren, Jiayu Chen, Zhaoyang Zeng, Hao Zhang, Feng Li, Hongyang Li, Jun Huang, Hang Su, Jun Zhu, Lei Zhang:
Detection Transformer with Stable Matching. ICCV 2023: 6468-6477 - [c46]Jiyong Zhou, Chengyu Wang, Junbing Yan, Jianing Wang, Yukang Xie, Jun Huang, Ying Gao:
UKT: A Unified Knowledgeable Tuning Framework for Chinese Information Extraction. NLPCC (2) 2023: 210-222 - [c45]Ziyun Xu, Chengyu Wang, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, Jun Huang:
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning. WSDM 2023: 438-446 - [c44]Xiaodan Wang, Lei Li, Zhixu Li, Xuwu Wang, Xiangru Zhu, Chengyu Wang, Jun Huang, Yanghua Xiao:
AGREE: Aligning Cross-Modal Entities for Image-Text Retrieval Upon Vision-Language Pre-trained Models. WSDM 2023: 456-464 - [c43]Zhongjie Duan, Chengyu Wang, Cen Chen, Wenmeng Zhou, Jun Huang, Weining Qian:
Match4Match: Enhancing Text-Video Retrieval by Maximum Flow with Minimum Cost. WWW 2023: 3257-3267 - [i52]Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou:
Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling. CoRR abs/2302.08659 (2023) - [i51]Shilong Liu, Tianhe Ren, Jiayu Chen, Zhaoyang Zeng, Hao Zhang, Feng Li, Hongyang Li, Jun Huang, Hang Su, Jun Zhu, Lei Zhang:
Detection Transformer with Stable Matching. CoRR abs/2304.04742 (2023) - [i50]Zhongjie Duan, Chengyu Wang, Cen Chen, Jun Huang, Weining Qian:
Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models. CoRR abs/2305.14677 (2023) - [i49]Zhenru Zhang, Chuanqi Tan, Haiyang Xu, Chengyu Wang, Jun Huang, Songfang Huang:
Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning. CoRR abs/2305.15212 (2023) - [i48]Jiapeng Wang, Chengyu Wang, Xiaodan Wang, Jun Huang, Lianwen Jin:
ConaCLIP: Exploring Distillation of Fully-Connected Knowledge Interaction Graph for Lightweight Text-Image Retrieval. CoRR abs/2305.17652 (2023) - [i47]Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang:
On the Robustness of Split Learning against Adversarial Attacks. CoRR abs/2307.07916 (2023) - [i46]Weifeng Lin, Ziheng Wu, Jiayu Chen, Jun Huang, Lianwen Jin:
Scale-Aware Modulation Meet Transformer. CoRR abs/2307.08579 (2023) - [i45]Mingyuan Fan, Cen Chen, Chengyu Wang, Jun Huang:
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Comprehensive Survey. CoRR abs/2307.16680 (2023) - [i44]Zhongjie Duan, Lizhou You, Chengyu Wang, Cen Chen, Ziheng Wu, Weining Qian, Jun Huang:
DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis. CoRR abs/2308.03463 (2023) - [i43]Jianing Wang, Chengyu Wang, Cen Chen, Ming Gao, Jun Huang, Aoying Zhou:
TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification. CoRR abs/2308.15010 (2023) - [i42]Chengyu Wang, Zhongjie Duan, Bingyan Liu, Xinyi Zou, Cen Chen, Kui Jia, Jun Huang:
PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud. CoRR abs/2309.05534 (2023) - [i41]Yukang Xie, Chengyu Wang, Junbing Yan, Jiyong Zhou, Feiqi Deng, Jun Huang:
Making Small Language Models Better Multi-task Learners with Mixture-of-Task-Adapters. CoRR abs/2309.11042 (2023) - [i40]Zhenzhen Chu, Jiayu Chen, Cen Chen, Chengyu Wang, Ziheng Wu, Jun Huang, Weining Qian:
DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion. CoRR abs/2309.12424 (2023) - [i39]Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao:
Boosting In-Context Learning with Factual Knowledge. CoRR abs/2309.14771 (2023) - [i38]Ziheng Wu, Jiaqi Xu, Xinyi Zou, Kunzhe Huang, Xing Shi, Jun Huang:
EasyPhoto: Your Smart AI Photo Generator. CoRR abs/2310.04672 (2023) - [i37]Weifeng Lin, Ziheng Wu, Jiayu Chen, Wentao Yang, Mingxin Huang, Jun Huang, Lianwen Jin:
Hierarchical Side-Tuning for Vision Transformers. CoRR abs/2310.05393 (2023) - [i36]Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li:
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. CoRR abs/2310.13022 (2023) - [i35]Tingfeng Cao, Chengyu Wang, Bingyan Liu, Ziheng Wu, Jinhui Zhu, Jun Huang:
BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis. CoRR abs/2311.06752 (2023) - [i34]Junbing Yan, Chengyu Wang, Taolin Zhang, Xiaofeng He, Jun Huang, Wei Zhang:
From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models. CoRR abs/2311.06754 (2023) - [i33]Tingfeng Cao, Chengyu Wang, Chuanqi Tan, Jun Huang, Jinhui Zhu:
Sharing, Teaching and Aligning: Knowledgeable Transfer Learning for Cross-Lingual Machine Reading Comprehension. CoRR abs/2311.06758 (2023) - [i32]Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang, Mingyi Jin:
FastBlend: a Powerful Model-Free Toolkit Making Video Stylization Easier. CoRR abs/2311.09265 (2023) - [i31]Chengyu Wang, Junbing Yan, Wei Zhang, Jun Huang:
Towards Better Parameter-Efficient Fine-Tuning for Large Language Models: A Position Paper. CoRR abs/2311.13126 (2023) - [i30]Xiangru Zhu, Penglei Sun, Chengyu Wang, Jingping Liu, Zhixu Li, Yanghua Xiao, Jun Huang:
A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics. CoRR abs/2312.02338 (2023) - 2022
- [j1]Chengyu Wang, Suyang Dai, Yipeng Wang, Fei Yang, Minghui Qiu, Kehan Chen, Wei Zhou, Jun Huang:
ARoBERT: An ASR Robust Pre-Trained Language Model for Spoken Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1207-1218 (2022) - [c42]Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang:
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression. AAAI 2022: 11547-11555 - [c41]Taolin Zhang, Chengyu Wang, Nan Hu, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang:
DKPLM: Decomposable Knowledge-Enhanced Pre-trained Language Model for Natural Language Understanding. AAAI 2022: 11703-11711 - [c40]Chengyu Wang, Minghui Qiu, Jun Huang:
Building Natural Language Processing Applications with EasyNLP. CIKM 2022: 5100-5101 - [c39]Chengyu Wang, Minghui Qiu, Taolin Zhang, Tingting Liu, Lei Li, Jianing Wang, Ming Wang, Jun Huang, Wei Lin:
EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing. EMNLP (Demos) 2022: 22-29 - [c38]Taolin Zhang, Junwei Dong, Jianing Wang, Chengyu Wang, Ang Wang, Yinghui Liu, Jun Huang, Yong Li, Xiaofeng He:
Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training. EMNLP (Industry Track) 2022: 560-570 - [c37]Tingting Liu, Chengyu Wang, Xiangru Zhu, Lei Li, Minghui Qiu, Jun Huang, Ming Gao, Yanghua Xiao:
ARTIST: A Transformer-based Chinese Text-to-Image Synthesizer Digesting Linguistic and World Knowledge. EMNLP (Findings) 2022: 881-888 - [c36]Jianing Wang, Chengyu Wang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Jun Huang, Ming Gao:
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering. EMNLP 2022: 3152-3163 - [c35]Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao:
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition. EMNLP 2022: 3466-3476 - [c34]Yiwu Yao, Chengyu Wang, Jun Huang:
Quantized Winograd Acceleration for CONV1D Equipped ASR Models on Mobile Devices. ICASSP 2022: 4803-4807 - [c33]Jiabei Liu, Weiming Zhuang, Yonggang Wen, Jun Huang, Wei Lin:
Optimizing Federated Unsupervised Person Re-identification via Camera-aware Clustering. MMSP 2022: 1-6 - [i29]Ziyun Xu, Chengyu Wang, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, Jun Huang:
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning. CoRR abs/2204.00166 (2022) - [i28]Chengyu Wang, Minghui Qiu, Taolin Zhang, Tingting Liu, Lei Li, Jianing Wang, Ming Wang, Jun Huang, Wei Lin:
EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing. CoRR abs/2205.00258 (2022) - [i27]Jianing Wang, Chengyu Wang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Jun Huang, Ming Gao:
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering. CoRR abs/2205.03071 (2022) - [i26]Xinyi Zou, Ziheng Wu, Wenmeng Zhou, Jun Huang:
YOLOX-PAI: An Improved YOLOX Version by PAI. CoRR abs/2208.13040 (2022) - [i25]Taolin Zhang, Junwei Dong, Jianing Wang, Chengyu Wang, Ang Wang, Yinghui Liu, Jun Huang, Yong Li, Xiaofeng He:
Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training. CoRR abs/2210.05287 (2022) - [i24]Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao:
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition. CoRR abs/2210.09049 (2022) - [i23]Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang, Ximeng Liu, Wenzhong Guo:
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning. CoRR abs/2212.02042 (2022) - 2021
- [c32]Minghui Qiu, Xinjing Huang, Cen Chen, Feng Ji, Chen Qu, Wei Wei, Jun Huang, Yin Zhang:
Reinforced History Backtracking for Conversational Question Answering. AAAI 2021: 13718-13726 - [c31]Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He:
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification. AAAI 2021: 13924-13932 - [c30]Chengyu Wang, Mengli Cheng, Xu Hu, Jun Huang:
EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition. AAAI 2021: 16111-16113 - [c29]Taolin Zhang, Chengyu Wang, Minghui Qiu, Bite Yang, Zerui Cai, Xiaofeng He, Jun Huang:
Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources. ACL/IJCNLP (Findings) 2021: 2237-2249 - [c28]Haojie Pan, Chengyu Wang, Minghui Qiu, Yichang Zhang, Yaliang Li, Jun Huang:
Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains. ACL/IJCNLP (1) 2021: 3026-3036 - [c27]Taolin Zhang, Zerui Cai, Chengyu Wang, Peng Li, Yang Li, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang:
HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources. CIKM 2021: 2608-2617 - [c26]Haojie Pan, Cen Chen, Chengyu Wang, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang:
Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations. CIKM 2021: 4055-4064 - [c25]Minghui Qiu, Peng Li, Chengyu Wang, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai, Wei Lin:
EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CIKM 2021: 4075-4084 - [c24]Cen Chen, Xinjing Huang, Feng Ji, Chengyu Wang, Minghui Qiu, Jun Huang, Yin Zhang:
CAT-BERT: A Context-Aware Transferable BERT Model for Multi-turn Machine Reading Comprehension. DASFAA (2) 2021: 152-167 - [c23]Chengyu Wang, Jianing Wang, Minghui Qiu, Jun Huang, Ming Gao:
TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification. EMNLP (1) 2021: 2792-2802 - [c22]Chengyu Wang, Haojie Pan, Minghui Qiu, Jun Huang, Fei Yang, Yin Zhang:
Meta Distant Transfer Learning for Pre-trained Language Models. EMNLP (1) 2021: 9742-9752 - [c21]Mengli Cheng, Chengyu Wang, Jun Huang, Xiaobo Wang:
Weakly Supervised Construction of ASR Systems from Massive Video Data. Interspeech 2021: 4533-4537 - [c20]Chengyu Wang, Haojie Pan, Yuan Liu, Kehan Chen, Minghui Qiu, Wei Zhou, Jun Huang, Haiqing Chen, Wei Lin, Deng Cai:
MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong Learning. KDD 2021: 3649-3659 - [c19]Ziyun Xu, Chengyu Wang, Peng Li, Yang Li, Ming Wang, Boyu Hou, Minghui Qiu, Chengguang Tang, Jun Huang:
When Few-Shot Learning Meets Large-Scale Knowledge-Enhanced Pre-training: Alibaba at FewCLUE. NLPCC (2) 2021: 422-433 - [i22]Taolin Zhang, Chengyu Wang, Nan Hu, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang:
DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding. CoRR abs/2112.01047 (2021) - [i21]Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang:
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression. CoRR abs/2112.07198 (2021) - 2020
- [c18]Qiangpeng Yang, Jun Huang, Wei Lin:
SwapText: Image Based Texts Transfer in Scenes. CVPR 2020: 14688-14697 - [c17]Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He:
Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining. EMNLP (1) 2020: 3094-3104 - [c16]Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou:
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. IJCAI 2020: 2463-2469 - [c15]Mengli Cheng, Minghui Qiu, Xing Shi, Jun Huang, Wei Lin:
One-shot Text Field labeling using Attention and Belief Propagation for Structure Information Extraction. ACM Multimedia 2020: 340-348 - [i20]Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou:
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. CoRR abs/2001.04246 (2020) - [i19]Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He:
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification. CoRR abs/2002.10903 (2020) - [i18]Qiangpeng Yang, Hongsheng Jin, Jun Huang, Wei Lin:
SwapText: Image Based Texts Transfer in Scenes. CoRR abs/2003.08152 (2020) - [i17]