default search action
Chengyu Wang 0001
Person information
- affiliation: Alibaba Group, Hangzhou, China
- affiliation (former): East China Normal University, Shanghai, China
Other persons with the same name
- Chengyu Wang 0002 — Beijing University of Posts and Telecommunications, Beijing Laboratory of Advanced Information Networks, China
- Chengyu Wang 0003 — Sensetime Research
- Chengyu Wang 0004 — Harbin Medical University, College of Bioinformatics Science and Technology / Department of Anatomy, China
- Chengyu Wang 0005 — Xi'an Jiaotong-Liverpool University, Suzhou, China
- Chengyu Wang 0006 — Duke University, Department of Electrical, and Computer Engineering, Durham, NC, USA
- Chengyu Wang 0007 — Shenzhen University, China
- Chengyu Wang 0008 — National University of Defense Technology, College of Computer, Changsha, China
- Chengyu Wang 0009 — Yangtze University, Jingzhou, China
- Chengyu Wang 0010 — PLA Information Engineering University, Zhengzhou, China
- Chengyu Wang 0011 — Samsung Research America, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j12]Lei Li, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou:
Accelerating BERT inference with GPU-efficient exit prediction. Frontiers Comput. Sci. 18(3): 183308 (2024) - [c103]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 - [c102]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 - [c101]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 - [c100]Dongyang Li, Taolin Zhang, Longtao Huang, Chengyu Wang, Xiaofeng He, Hui Xue:
KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning. LREC/COLING 2024: 9693-9704 - [c99]Huimin Chen, Chengyu Wang, Yanhao Wang, Cen Chen, Yinggui Wang:
TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences. LREC/COLING 2024: 15542-15551 - [c98]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 - [c97]Dongyang Li, Taolin Zhang, Jiali Deng, Longtao Huang, Chengyu Wang, Xiaofeng He, Hui Xue:
UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding. LREC/COLING 2024: 17062-17073 - [c96]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 - [c95]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 - [c94]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 - [c93]Qizhou Chen, Taolin Zhang, Xiaofeng He, Dongyang Li, Chengyu Wang, Longtao Huang, Hui Xue':
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning. EMNLP 2024: 13565-13580 - [c92]Jiapeng Wang, Chengyu Wang, Kunzhe Huang, Jun Huang, Lianwen Jin:
VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models. EMNLP 2024: 16061-16075 - [c91]Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang:
Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models. IJCAI 2024: 7645-7653 - [c90]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 - [c89]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 - [c88]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 - [c87]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 - [c86]Mingyuan Fan, Yang Liu, Cen Chen, Chengyu Wang, Minghui Qiu, Wenmeng Zhou:
Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning. WSDM 2024: 190-198 - [c85]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 - [c84]Jiayi Wang, Ke Wang, Fengming Zhou, Chengyu Wang, Zhiyong Fu, Zeyu Feng, Yu Zhao, Yuqi Zhang:
Synslator: An Interactive Machine Translation Tool with Online Learning. WWW (Companion Volume) 2024: 1023-1026 - [i58]Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang:
Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models. CoRR abs/2401.16224 (2024) - [i57]Junbing Yan, Chengyu Wang, Jun Huang, Wei Zhang:
Do Large Language Models Understand Logic or Just Mimick Context? CoRR abs/2402.12091 (2024) - [i56]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) - [i55]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) - [i54]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) - [i53]Qizhou Chen, Taolin Zhang, Xiaofeng He, Dongyang Li, Chengyu Wang, Longtao Huang, Hui Xue:
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning. CoRR abs/2405.03279 (2024) - [i52]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) - [i51]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) - [i50]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) - [i49]Dongyang Li, Taolin Zhang, Jiali Deng, Longtao Huang, Chengyu Wang, Xiaofeng He, Hui Xue:
UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding. CoRR abs/2406.16372 (2024) - [i48]Dongyang Li, Taolin Zhang, Longtao Huang, Chengyu Wang, Xiaofeng He, Hui Xue:
KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning. CoRR abs/2406.16374 (2024) - [i47]Qizhou Chen, Taolin Zhang, Chengyu Wang, Xiaofeng He, Dakan Wang, Tingting Liu:
Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit. CoRR abs/2408.09916 (2024) - [i46]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) - [i45]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) - [i44]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
- [j11]Lei Li, Tingting Liu, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou:
Resizing codebook of vector quantization without retraining. Multim. Syst. 29(3): 1499-1512 (2023) - [c83]Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou:
Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling. AAAI 2023: 13682-13690 - [c82]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 - [c81]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 - [c80]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 - [c79]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 - [c78]Sai Chen, Fengran Mo, Yanhao Wang, Cen Chen, Jian-Yun Nie, Chengyu Wang, Jamie Cui:
A Customized Text Sanitization Mechanism with Differential Privacy. ACL (Findings) 2023: 5747-5758 - [c77]Moming Tang, Chengyu Wang, Jianing Wang, Chuanqi Tan, Songfang Huang, Cen Chen, Weining Qian:
XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding. ACL (Findings) 2023: 6368-6376 - [c76]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 - [c75]Zhenzhen Chu, Chengyu Wang, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian:
Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning. CIKM 2023: 3828-3832 - [c74]Yan Fan, Chengyu Wang, Fan Feng, Hengbin Cui, Yuchuan Wu, Yongbin Li:
Learning What to Ask: Mining Product Attributes for E-commerce Sales from Massive Dialogue Corpora. CIKM 2023: 5031-5035 - [c73]Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao:
HugNLP: A Unified and Comprehensive Library for Natural Language Processing. CIKM 2023: 5111-5116 - [c72]Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang:
On the Robustness of Split Learning Against Adversarial Attacks. ECAI 2023: 668-675 - [c71]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 - [c70]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 - [c69]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 - [c68]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 - [c67]Taolin Zhang, Ruyao Xu, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian:
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding. EMNLP 2023: 15663-15676 - [c66]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 - [c65]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 - [c64]Moming Tang, Chengyu Wang, Jianing Wang, Cen Chen, Ming Gao, Weining Qian:
ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization. KSEM (3) 2023: 106-119 - [c63]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 - [c62]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 - [c61]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 - [c60]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 - [i43]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) - [i42]Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao:
HugNLP: A Unified and Comprehensive Library for Natural Language Processing. CoRR abs/2302.14286 (2023) - [i41]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) - [i40]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) - [i39]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) - [i38]Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang:
On the Robustness of Split Learning against Adversarial Attacks. CoRR abs/2307.07916 (2023) - [i37]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) - [i36]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) - [i35]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) - [i34]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) - [i33]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) - [i32]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) - [i31]Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao:
Boosting In-Context Learning with Factual Knowledge. CoRR abs/2309.14771 (2023) - [i30]Jiayi Wang, Ke Wang, Fengming Zhou, Chengyu Wang, Zhiyong Fu, Zeyu Feng, Yu Zhao, Yuqi Zhang:
Synslator: An Interactive Machine Translation Tool with Online Learning. CoRR abs/2310.05025 (2023) - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]Ruyao Xu, Taolin Zhang, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian:
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding. CoRR abs/2311.06761 (2023) - [i24]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) - [i23]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) - [i22]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
- [j10]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) - [c59]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 - [c58]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 - [c57]Dongyang Li, Taolin Zhang, Nan Hu, Chengyu Wang, Xiaofeng He:
HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction. ACL (Findings) 2022: 2567-2578 - [c56]Chengyu Wang, Minghui Qiu, Jun Huang:
Building Natural Language Processing Applications with EasyNLP. CIKM 2022: 5100-5101 - [c55]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 - [c54]Jianing Wang, Chengyu Wang, Fuli Luo, Chuanqi Tan, Minghui Qiu, Fei Yang, Qiuhui Shi, Songfang Huang, Ming Gao:
Towards Unified Prompt Tuning for Few-shot Text Classification. EMNLP (Findings) 2022: 524-536 - [c53]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 - [c52]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 - [c51]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 - [c50]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 - [c49]Yiwu Yao, Chengyu Wang, Jun Huang:
Quantized Winograd Acceleration for CONV1D Equipped ASR Models on Mobile Devices. ICASSP 2022: 4803-4807 - [c48]Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao, Aoying Zhou:
Understanding Long Programming Languages with Structure-Aware Sparse Attention. SIGIR 2022: 2093-2098 - [c47]Lei Li, Dongxiang Zhang, Chengyu Wang, Cheqing Jin, Ming Gao, Aoying Zhou:
Enhancing Seq2seq Math Word Problem Solver with Entity Information and Math Knowledge. WISE 2022: 370-385 - [c46]Yan Fan, Chengyu Wang, Peng He, Yunhua Hu:
Building Multi-turn Query Interpreters for E-commercial Chatbots with Sparse-to-dense Attentive Modeling. WSDM 2022: 1577-1580 - [i21]Dongyang Li, Taolin Zhang, Nan Hu, Chengyu Wang, Xiaofeng He:
HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction. CoRR abs/2202.13352 (2022) - [i20]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) - [i19]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) - [i18]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) - [i17]Jianing Wang, Chengyu Wang, Fuli Luo, Chuanqi Tan, Minghui Qiu, Fei Yang, Qiuhui Shi, Songfang Huang, Ming Gao:
Towards Unified Prompt Tuning for Few-shot Text Classification. CoRR abs/2205.05313 (2022) - [i16]Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao, Aoying Zhou:
Understanding Long Programming Languages with Structure-Aware Sparse Attention. CoRR abs/2205.13730 (2022) - [i15]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) - [i14]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) - [i13]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
- [j9]Chengyu Wang, Xiaofeng He, Aoying Zhou:
Open Relation Extraction for Chinese Noun Phrases. IEEE Trans. Knowl. Data Eng. 33(6): 2693-2708 (2021) - [c45]Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He:
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification. AAAI 2021: 13924-13932 - [c44]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 - [c43]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 - [c42]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 - [c41]Taolin Zhang, Zerui Cai, Chengyu Wang, Minghui Qiu, Bite Yang, Xiaofeng He:
SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining. ACL/IJCNLP (1) 2021: 5882-5893 - [c40]Zerui Cai, Taolin Zhang, Chengyu Wang, Xiaofeng He:
EMBERT: A Pre-trained Language Model for Chinese Medical Text Mining. APWeb/WAIM (1) 2021: 242-257 - [c39]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 - [c38]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 - [c37]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 - [c36]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 - [c35]Zhi Li, Yuchen Zhai, Chengyu Wang, Minghui Qiu, Kailiang Li, Yin Zhang:
UnClE: Explicitly Leveraging Semantic Similarity to Reduce the Parameters of Word Embeddings. EMNLP (Findings) 2021: 1815-1828 - [c34]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 - [c33]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 - [c32]Mengli Cheng, Chengyu Wang, Jun Huang, Xiaobo Wang:
Weakly Supervised Construction of ASR Systems from Massive Video Data. Interspeech 2021: 4533-4537 - [c31]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 - [c30]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 - [c29]Cen Chen, Chengyu Wang, Minghui Qiu, Dehong Gao, Linbo Jin, Wang Li:
Cross-domain Knowledge Distillation for Retrieval-based Question Answering Systems. WWW 2021: 2613-2623 - [i12]Taolin Zhang, Zerui Cai, Chengyu Wang, Minghui Qiu, Bite Yang, Xiaofeng He:
SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining. CoRR abs/2108.08983 (2021) - [i11]Guanglin Niu, Yang Li, Chengguang Tang, Zhongkai Hu, Shibin Yang, Peng Li, Chengyu Wang, Hao Wang, Jian Sun:
Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings. CoRR abs/2110.15622 (2021) - [i10]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) - [i9]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
- [j8]Chengyu Wang, Xiaofeng He, Aoying Zhou:
HEEL: exploratory entity linking for heterogeneous information networks. Knowl. Inf. Syst. 62(2): 485-506 (2020) - [c28]Chengyu Wang, Xiaofeng He:
BiRRE: Learning Bidirectional Residual Relation Embeddings for Supervised Hypernymy Detection. ACL 2020: 3630-3640 - [c27]Hui Cai, Chengyu Wang, Xiaofeng He:
Debiasing Learning to Rank Models with Generative Adversarial Networks. APWeb/WAIM (2) 2020: 45-60 - [c26]Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He:
Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining. EMNLP (1) 2020: 3094-3104 - [i8]Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He:
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification. CoRR abs/2002.10903 (2020) - [i7]Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He:
Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining. CoRR abs/2003.13003 (2020) - [i6]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) - [i5]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) - [i4]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) - [i3]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) - [i2]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) - [i1]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
- [j7]Chengyu Wang, Yan Fan, Xiaofeng He, Hongyuan Zha, Aoying Zhou:
Idiomaticity Prediction of Chinese Noun Compounds and Its Applications. IEEE Access 7: 142866-142878 (2019) - [j6]Chengyu Wang, Yan Fan, Xiaofeng He, Aoying Zhou:
Predicting hypernym-hyponym relations for Chinese taxonomy learning. Knowl. Inf. Syst. 58(3): 585-610 (2019) - [j5]Chengyu Wang, Yan Fan, Xiaofeng He, Aoying Zhou:
Decoding Chinese User Generated Categories for Fine-Grained Knowledge Harvesting. IEEE Trans. Knowl. Data Eng. 31(8): 1491-1505 (2019) - [c25]Chengyu Wang, Xiaofeng He, Aoying Zhou:
Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning. AAAI 2019: 7128-7135 - [c24]Chengyu Wang, Xiaofeng He, Aoying Zhou:
SphereRE: Distinguishing Lexical Relations with Hyperspherical Relation Embeddings. ACL (1) 2019: 1727-1737 - [c23]Yan Fan, Chengyu Wang, Boxing Chen, Zhongkai Hu, Xiaofeng He:
SPMM: A Soft Piecewise Mapping Model for Bilingual Lexicon Induction. SDM 2019: 244-252 - [c22]Chengyu Wang, Yan Fan, Xiaofeng He, Aoying Zhou:
A Family of Fuzzy Orthogonal Projection Models for Monolingual and Cross-lingual Hypernymy Prediction. WWW 2019: 1965-1976 - 2018
- [j4]Jihong Yan, Chengyu Wang, Wenliang Cheng, Ming Gao, Aoying Zhou:
A retrospective of knowledge graphs. Frontiers Comput. Sci. 12(1): 55-74 (2018) - [j3]Chengyu Wang, Guomin Zhou, Xiaofeng He, Aoying Zhou:
NERank+: a graph-based approach for entity ranking in document collections. Frontiers Comput. Sci. 12(3): 504-517 (2018) - [j2]Chengyu Wang, Xiaofeng He, Aoying Zhou:
Event phase oriented news summarization. World Wide Web 21(4): 1069-1092 (2018) - [c21]Guohai Xu, Chengyu Wang, Xiaofeng He:
Improving Clinical Named Entity Recognition with Global Neural Attention. APWeb/WAIM (2) 2018: 264-279 - [c20]Yan Fan, Chengyu Wang, Xiaofeng He:
Exploratory Neural Relation Classification for Domain Knowledge Acquisition. COLING 2018: 2265-2276 - 2017
- [c19]Chengyu Wang, Junchi Yan, Aoying Zhou, Xiaofeng He:
Transductive Non-linear Learning for Chinese Hypernym Prediction. ACL (1) 2017: 1394-1404 - [c18]Yan Fan, Chengyu Wang, Guomin Zhou, Xiaofeng He:
DKGBuilder: An Architecture for Building a Domain Knowledge Graph from Scratch. DASFAA (2) 2017: 663-667 - [c17]Chengyu Wang, Xiaofeng He, Aoying Zhou:
A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent Advances. EMNLP 2017: 1190-1203 - [c16]Chengyu Wang, Yan Fan, Xiaofeng He, Aoying Zhou:
Learning Fine-grained Relations from Chinese User Generated Categories. EMNLP 2017: 2577-2587 - [c15]Kun Wang, Guohai Xu, Chengyu Wang, Xiaofeng He:
A Hybrid Abnormal Advertising Traffic Detection Method. ICBK 2017: 236-241 - [c14]Lu Wang, Chengyu Wang, Keqiang Wang, Xiaofeng He:
BiUCB: A Contextual Bandit Algorithm for Cold-Start and Diversified Recommendation. ICBK 2017: 248-253 - [c13]Ruolan Yong, Chengyu Wang, Xiaofeng He:
A Transfer Learning Based Boosting Model for Emotion Analysis. ICBK 2017: 264-269 - 2016
- [c12]Chengyu Wang, Rong Zhang, Xiaofeng He, Guomin Zhou, Aoying Zhou:
NERank: Bringing Order to Named Entities from Texts. APWeb (1) 2016: 15-27 - [c11]Chengyu Wang, Rong Zhang, Xiaofeng He, Aoying Zhou:
Error Link Detection and Correction in Wikipedia. CIKM 2016: 307-316 - [c10]Chengyu Wang, Xiaofeng He:
Chinese Hypernym-Hyponym Extraction from User Generated Categories. COLING 2016: 1350-1361 - [c9]Chengyu Wang, Rong Zhang, Xiaofeng He, Guomin Zhou, Aoying Zhou:
Event Phase Extraction and Summarization. WISE (1) 2016: 473-488 - [c8]Chengyu Wang, Rong Zhang, Xiaofeng He, Aoying Zhou:
NERank: Ranking Named Entities in Document Collections. WWW (Companion Volume) 2016: 123-124 - 2015
- [j1]Jihong Yan, Wenliang Cheng, Chengyu Wang, Jun Liu, Ming Gao, Aoying Zhou:
Optimizing word set coverage for multi-event summarization. J. Comb. Optim. 30(4): 996-1015 (2015) - [c7]Yonghao Su, Chi Zhang, Jinyang Li, Chengyu Wang, Weining Qian, Aoying Zhou:
Cross-Lingual Entity Query from Large-Scale Knowledge Graphs. APWeb Workshops 2015: 139-150 - [c6]Jinyang Li, Chengyu Wang, Xiaofeng He, Rong Zhang, Ming Gao:
User Generated Content Oriented Chinese Taxonomy Construction. APWeb 2015: 623-634 - [c5]Wenliang Cheng, Chengyu Wang, Bing Xiao, Weining Qian, Aoying Zhou:
On Statistical Characteristics of Real-Life Knowledge Graphs. BPOE 2015: 37-49 - [c4]Chengyu Wang, Ming Gao, Xiaofeng He, Rong Zhang:
Challenges in Chinese knowledge graph construction. ICDE Workshops 2015: 59-61 - [c3]Fan Xia, Qunyan Zhang, Chengyu Wang, Weining Qian, Aoying Zhou:
On the rise and fall of Sina Weibo: Analysis based on a fixed user group. ICDE Workshops 2015: 224-231 - 2014
- [c2]Leyi Song, Chengyu Wang, Xiaoyi Duan, Bing Xiao, Xiao Liu, Rong Zhang, Xiaofeng He, Xueqing Gong:
TaxiHailer: A Situation-Specific Taxi Pick-Up Points Recommendation System. DASFAA (2) 2014: 523-526 - 2013
- [c1]Chengyu Wang, Bing Xiao, Xiang Li, Jiawen Zhu, Xiaofeng He, Rong Zhang:
Predicting Users' Age Range in Micro-blog Network. WISE (1) 2013: 516-521
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-04 20:12 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint