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Jun Huang 0007
Person information
- affiliation: Alibaba Group, Hangzhou, China
Other persons with the same name
- Jun Huang — disambiguation page
- Jun Huang 0001 — 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
- [c76]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 - [c75]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 - [c74]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 - [c73]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 - [c72]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 - [c71]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 - [c70]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 - [c69]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 - [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 - [i64]Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang:
Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models. CoRR abs/2401.16224 (2024) - [i63]Junbing Yan, Chengyu Wang, Jun Huang, Wei Zhang:
Do Large Language Models Understand Logic or Just Mimick Context? CoRR abs/2402.12091 (2024) - [i62]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) - [i61]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) - [i60]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) - [i59]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) - [i58]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) - [i57]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) - [i56]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) - [i55]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) - [i54]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) - [i53]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) - 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]Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He:
Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining. CoRR abs/2003.13003 (2020) - [i16]Mengli Cheng, Chengyu Wang, Xu Hu, Jun Huang, Xiaobo Wang:
Weakly Supervised Construction of ASR Systems with Massive Video Data. CoRR abs/2008.01300 (2020) - [i15]Taolin Zhang, Chengyu Wang, Minghui Qiu, Bite Yang, Xiaofeng He, Jun Huang:
Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources. CoRR abs/2008.10327 (2020) - [i14]Mengli Cheng, Minghui Qiu, Xing Shi, Jun Huang, Wei Lin:
One-shot Text Field Labeling using Attention and Belief Propagation for Structure Information Extraction. CoRR abs/2009.04153 (2020) - [i13]Chengyu Wang, Mengli Cheng, Xu Hu, Jun Huang:
EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition. CoRR abs/2009.06487 (2020) - [i12]Yiwu Yao, Yuchao Li, Chengyu Wang, Tianhang Yu, Houjiang Chen, Xiaotang Jiang, Jun Yang, Jun Huang, Wei Lin, Hui Shu, Chengfei Lv:
INT8 Winograd Acceleration for Conv1D Equipped ASR Models Deployed on Mobile Devices. CoRR abs/2010.14841 (2020) - [i11]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:
EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CoRR abs/2011.09463 (2020) - [i10]Haojie Pan, Cen Chen, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang, Haiqing Chen:
Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations. CoRR abs/2011.12771 (2020) - [i9]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. CoRR abs/2012.01266 (2020)
2010 – 2019
- 2019
- [c14]Minghui Qiu, Bo Wang, Cen Chen, Xiaoyi Zeng, Jun Huang, Deng Cai, Jingren Zhou, Forrest Sheng Bao:
Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search. CIKM 2019: 2509-2515 - [c13]Qiangpeng Yang, Hongsheng Jin, Mengli Cheng, Wenmeng Zhou, Jun Huang, Wei Lin:
Scene Text Recognition with Auto-Aligned Feature Generator. ICDM 2019: 1426-1431 - [c12]Bo Wang, Minghui Qiu, Xisen Wang, Yaliang Li, Yu Gong, Xiaoyi Zeng, Jun Huang, Bo Zheng, Deng Cai, Jingren Zhou:
A Minimax Game for Instance based Selective Transfer Learning. KDD 2019: 34-43 - [c11]Fei Xiao, Zhen Wang, Haikuan Huang, Jun Huang, Xi Chen, Hongbo Deng, Minghui Qiu, Xiaoli Gong:
AliISA: Creating an Interactive Search Experience in E-commerce Platforms. SIGIR 2019: 1305-1308 - [c10]Chen Qu, Feng Ji, Minghui Qiu, Liu Yang, Zhiyu Min, Haiqing Chen, Jun Huang, W. Bruce Croft:
Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching. WSDM 2019: 699-707 - [c9]Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao:
Multi-Domain Gated CNN for Review Helpfulness Prediction. WWW 2019: 2630-2636 - [i8]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:
Artificial Intelligence for Prosthetics - challenge solutions. CoRR abs/1902.02441 (2019) - 2018
- [c8]Minghui Qiu, Liu Yang, Feng Ji, Wei Zhou, Jun Huang, Haiqing Chen, W. Bruce Croft, Wei Lin:
Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce. ACL (2) 2018: 208-213 - [c7]Liu Yang, Minghui Qiu, Chen Qu, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Jun Huang, Haiqing Chen:
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems. SIGIR 2018: 245-254 - [c6]Jianfei Yu, Minghui Qiu, Jing Jiang, Jun Huang, Shuangyong Song, Wei Chu, Haiqing Chen:
Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce. WSDM 2018: 682-690 - [i7]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:
AliMe Assist: An Intelligent Assistant for Creating an Innovative E-commerce Experience. CoRR abs/1801.05032 (2018) - [i6]Liu Yang, Minghui Qiu, Chen Qu, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Jun Huang, Haiqing Chen:
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems. CoRR abs/1805.00188 (2018) - [i5]Minghui Qiu, Liu Yang, Feng Ji, Weipeng Zhao, Wei Zhou, Jun Huang, Haiqing Chen, W. Bruce Croft, Wei Lin:
Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce. CoRR abs/1806.05434 (2018) - [i4]Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao:
Review Helpfulness Prediction with Embedding-Gated CNN. CoRR abs/1808.09896 (2018) - [i3]Chen Qu, Feng Ji, Minghui Qiu, Liu Yang, Zhiyu Min, Haiqing Chen, Jun Huang, W. Bruce Croft:
Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching. CoRR abs/1812.11561 (2018) - 2017
- [c5]Minghui Qiu, Feng-Lin Li, Siyu Wang, Xing Gao, Yan Chen, Weipeng Zhao, Haiqing Chen, Jun Huang, Wei Chu:
AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine. ACL (2) 2017: 498-503 - [c4]Xu Hu, Jun Huang, Minghui Qiu:
A Communication Efficient Parallel DBSCAN Algorithm based on Parameter Server. CIKM 2017: 2107-2110 - [c3]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:
AliMe Assist : An Intelligent Assistant for Creating an Innovative E-commerce Experience. CIKM 2017: 2495-2498 - [c2]Minghui Qiu, Peilin Zhao, Ke Zhang, Jun Huang, Xing Shi, Xiaoguang Wang, Wei Chu:
A Short-Term Rainfall Prediction Model Using Multi-task Convolutional Neural Networks. ICDM 2017: 395-404 - [c1]Jun Zhou, Qing Cui, Xiaolong Li, Peilin Zhao, Shenquan Qu, Jun Huang:
PSMART: Parameter Server based Multiple Additive Regression Trees System. WWW (Companion Volume) 2017: 879-880 - [i2]Xu Hu, Jun Huang, Minghui Qiu, Cen Chen, Wei Chu:
PS-DBSCAN: An Efficient Parallel DBSCAN Algorithm Based on Platform Of AI (PAI). CoRR abs/1711.01034 (2017) - [i1]Jianfei Yu, Minghui Qiu, Jing Jiang, Jun Huang, Shuangyong Song, Wei Chu, Haiqing Chen:
Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce. CoRR abs/1711.08726 (2017)
Coauthor Index
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