Jun Huang - RankMe

178 papers A* 37A 17B 1C 1Misc 4Journal 83Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A short survey on small reasoning models: training, inference, applications, and research directions. Frontiers Comput. Sci. Chengyu Wang, Taolin Zhang, Richang Hong, Jun Huang
2026	J	`jnl`	VTC-R1: Vision-Text Compression for Efficient Long-Context Reasoning. CoRR Yibo Wang, Yongcheng Jing, Shunyu Liu, Hao Guan, Rong-Cheng Tu, Chengyu Wang, Jun Huang, Dacheng Tao
2026	A*	`conf`	Zero-to-Hero: Empowering Video Appearance Transfer with Zero-Shot Initialization and Holistic Restoration. AAAI Tongtong Su, Chengyu Wang, Haipeng Liao, Jun Huang, Dongming Lu
2025	J	`jnl`	A Short Survey on Small Reasoning Models: Training, Inference, Applications and Research Directions. CoRR Chengyu Wang, Taolin Zhang, Richang Hong, Jun Huang
2025	A*	`conf`	AdaptEdit: An Adaptive Correspondence Guidance Framework for Reference-Based Video Editing. IJCAI Tongtong Su, Chengyu Wang, Bingyan Liu, Jun Huang, Dongming Lu
2025	—	`conf`	Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud. COLING (Industry) Yuanhao Yue, Chengyu Wang, Jun Huang, Peng Wang
2025	J	`jnl`	Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for Foundation Models. CoRR Daoyuan Chen, Yilun Huang, Xuchen Pan, Nana Jiang, Haibin Wang, Ce Ge, Yushuo Chen, Wenhao Zhang, Zhijian Ma, Yilei Zhang, Jun Huang, Wei Lin, Yaliang Li, Bolin Ding, Jingren Zhou
2025	—	`conf`	DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models. ACL (6) Chengyu Wang, Junbing Yan, Yuanhao Yue, Jun Huang
2025	J	`jnl`	DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models. CoRR Chengyu Wang, Junbing Yan, Yuanhao Yue, Jun Huang
2025	A*	`conf`	DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document Understanding. CVPR Wenhui Liao, Jiapeng Wang, Hongliang Li, Chengyu Wang, Jun Huang, Lianwen Jin
2025	A*	`conf`	EasyAnimate: High-Performance Video Generation Framework with Hybrid Windows Attention and Reward Backpropagation. ACM Multimedia Jiaqi Xu, Kunzhe Huang, Xinyi Zou, Yunkuo Chen, Bo Liu, Mengli Cheng, Jun Huang, Xing Shi
2025	—	`conf`	EasyDistill: A Comprehensive Toolkit for Effective Knowledge Distillation of Large Language Models. EMNLP (System Demonstrations) Chengyu Wang, Junbing Yan, Wenrui Cai, Yuanhao Yue, Jun Huang
2025	J	`jnl`	EasyDistill: A Comprehensive Toolkit for Effective Knowledge Distillation of Large Language Models. CoRR Chengyu Wang, Junbing Yan, Wenrui Cai, Yuanhao Yue, Jun Huang
2025	A*	`conf`	Encapsulated Composition of Text-to-Image and Text-to-Video Models for High-Quality Video Synthesis. CVPR Tongtong Su, Chengyu Wang, Bingyan Liu, Jun Huang, Dongming Lu
2025	J	`jnl`	Encapsulated Composition of Text-to-Image and Text-to-Video Models for High-Quality Video Synthesis. CoRR Tongtong Su, Chengyu Wang, Bingyan Liu, Jun Huang, Dongming Lu
2025	A*	`conf`	Enhancing Reasoning Abilities of Small LLMs with Cognitive Alignment. EMNLP Wenrui Cai, Chengyu Wang, Junbing Yan, Jun Huang, Xiangzhong Fang
2025	A*	`conf`	Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective. ICLR Xiangru Zhu, Penglei Sun, Yaoxian Song, Yanghua Xiao, Zhixu Li, Chengyu Wang, Jun Huang, Bei Yang, Xiaoxiao Xu
2025	J	`jnl`	Exploiting Pre-Trained Models and Low-Frequency Preference for Cost-Effective Transfer-based Attack. ACM Trans. Knowl. Discov. Data Mingyuan Fan, Cen Chen, Chengyu Wang, Jun Huang
2025	Misc	`conf`	FR ICASSP Haipeng Fang, Ziheng Wu, Xinyi Zou, Jun Huang, Juan Cao, Sheng Tang
2025	A*	`conf`	FastBlend: Enhancing Video Stylization Consistency via Model-Free Patch Blending. IJCAI Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang, Mingyi Jin
2025	A*	`conf`	Fingerprinting Denoising Diffusion Probabilistic Models. CVPR Huan Teng, Yuhui Quan, Chengyu Wang, Jun Huang, Hui Ji
2025	A*	`conf`	Hallucination-Aware Prompt Optimization for Text-to-Video Synthesis. IJCAI Jiapeng Wang, Chengyu Wang, Jun Huang, Lianwen Jin
2025	B	`conf`	LogiGraph: Logical Reasoning with Contrastive Learning and Lightweight Graph Networks. COLING Xiang Li, Chen Shi, Yong Xu, Jun Huang
2025	J	`jnl`	Model Extraction for Image Denoising Networks. IEEE Trans. Inf. Forensics Secur. Huan Teng, Yuhui Quan, Yong Xu, Jun Huang, Hui Ji
2025	J	`jnl`	On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook. Int. J. Comput. Vis. Mingyuan Fan, Chengyu Wang, Cen Chen, Yang Liu, Jun Huang
2025	J	`jnl`	Reasoning with OmniThought: A Large CoT Dataset with Verbosity and Cognitive Difficulty Annotations. CoRR Wenrui Cai, Chengyu Wang, Junbing Yan, Jun Huang, Xiangzhong Fang
2025	—	`conf`	Thinking with DistilQwen: A Tale of Four Distilled Reasoning and Reward Model Series. EMNLP (Industry Track) Wenrui Cai, Chengyu Wang, Junbing Yan, Jun Huang, Xiangzhong Fang
2025	J	`jnl`	Thinking with DistilQwen: A Tale of Four Distilled Reasoning and Reward Model Series. CoRR Wenrui Cai, Chengyu Wang, Junbing Yan, Jun Huang, Xiangzhong Fang
2025	J	`jnl`	Training Small Reasoning LLMs with Cognitive Preference Alignment. CoRR Wenrui Cai, Chengyu Wang, Junbing Yan, Jun Huang, Xiangzhong Fang
2025	J	`jnl`	Understanding Attention Mechanism in Video Diffusion Models. CoRR Bingyan Liu, Chengyu Wang, Tongtong Su, Huan Ten, Jun Huang, Kailing Guo, Kui Jia
2025	J	`jnl`	Zero-to-Hero: Zero-Shot Initialization Empowering Reference-Based Video Appearance Editing. CoRR Tongtong Su, Chengyu Wang, Jun Huang, Dongming Lu
2024	—	`conf`	AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework. LREC/COLING Xiang Li, Zhenyu Li, Chen Shi, Yong Xu, Qing Du, Mingkui Tan, Jun Huang
2024	J	`jnl`	AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework. CoRR Xiang Li, Zhenyu Li, Chen Shi, Yong Xu, Qing Du, Mingkui Tan, Jun Huang, Wei Lin
2024	A*	`conf`	Attentive Linguistic Tracking in Diffusion Models for Training-free Text-guided Image Editing. ACM Multimedia Bingyan Liu, Chengyu Wang, Jun Huang, Kui Jia
2024	J	`jnl`	Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud. CoRR Yuanhao Yue, Chengyu Wang, Jun Huang, Peng Wang
2024	—	`conf`	DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models. ACL (Findings) Taolin Zhang, Qizhou Chen, Dongyang Li, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue', Jun Huang
2024	J	`jnl`	DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models. CoRR Taolin Zhang, Qizhou Chen, Dongyang Li, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue, Jun Huang
2024	—	`conf`	DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation. ACL (Findings) Jiapeng Wang, Chengyu Wang, Tingfeng Cao, Jun Huang, Lianwen Jin
2024	J	`jnl`	DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation. CoRR Jiapeng Wang, Chengyu Wang, Tingfeng Cao, Jun Huang, Lianwen Jin
2024	—	`conf`	DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis. ECML/PKDD (10) Zhongjie Duan, Lizhou You, Chengyu Wang, Cen Chen, Ziheng Wu, Weining Qian, Jun Huang
2024	A*	`conf`	Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models. IJCAI Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang
2024	J	`jnl`	Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models. CoRR Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang
2024	—	`conf`	Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning. EMNLP (Findings) Yuanhao Yue, Chengyu Wang, Jun Huang, Peng Wang
2024	J	`jnl`	Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning. CoRR Yuanhao Yue, Chengyu Wang, Jun Huang, Peng Wang
2024	J	`jnl`	Do Large Language Models Understand Logic or Just Mimick Context? CoRR Junbing Yan, Chengyu Wang, Jun Huang, Wei Zhang
2024	J	`jnl`	DocLayLLM: An Efficient and Effective Multi-modal Extension of Large Language Models for Text-rich Document Understanding. CoRR Wenhui Liao, Jiapeng Wang, Hongliang Li, Chengyu Wang, Jun Huang, Lianwen Jin
2024	A	`conf`	DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion. SDM Zhenzhen Chu, Jiayu Chen, Cen Chen, Chengyu Wang, Ziheng Wu, Jun Huang, Weining Qian
2024	J	`jnl`	EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture. CoRR Jiaqi Xu, Xinyi Zou, Kunzhe Huang, Yunkuo Chen, Bo Liu, Mengli Cheng, Xing Shi, Jun Huang
2024	J	`jnl`	Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective. CoRR Xiangru Zhu, Penglei Sun, Yaoxian Song, Yanghua Xiao, Zhixu Li, Chengyu Wang, Jun Huang, Bei Yang, Xiaoxiao Xu
2024	—	`conf`	Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning. NAACL-HLT (Findings) Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao
2024	A*	`conf`	M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis. AAAI Ning Zhang, Hiuyi Cheng, Jiayu Chen, Zongyuan Jiang, Jun Huang, Yang Xue, Lianwen Jin
2024	A	`conf`	Making Small Language Models Better Multi-task Learners with Mixture-of-Task-Adapters. WSDM Yukang Xie, Chengyu Wang, Junbing Yan, Jiyong Zhou, Feiqi Deng, Jun Huang
2024	—	`conf`	On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models. ACL (Short Papers) Dongyang Li, Junbing Yan, Taolin Zhang, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue, Jun Huang
2024	J	`jnl`	On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models. CoRR Dongyang Li, Junbing Yan, Taolin Zhang, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue, Jun Huang
2024	—	`conf`	PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud. ACL (3) Chengyu Wang, Zhongjie Duan, Bingyan Liu, Xinyi Zou, Cen Chen, Kui Jia, Jun Huang
2024	J	`jnl`	Personalized Federated Mutual Learning for Unsupervised Camera-Aware Person Re-Identification. ACM Trans. Multim. Comput. Commun. Appl. Jiabei Liu, Weiming Zhuang, Yuanyuan Liu, Yonggang Wen, Jun Huang, Wei Lin
2024	A	`conf`	R ECAI Taolin Zhang, Dongyang Li, Qizhou Chen, Chengyu Wang, Longtao Huang, Hui Xue, Xiaofeng He, Jun Huang
2024	A	`conf`	RISC: Boosting High-quality Referring Image Segmentation via Foundation Model CLIP. ICME Zongyuan Jiang, Jiayu Chen, Chongyu Liu, Ning Zhang, Jun Huang, Xue Gao, Lianwen Jin
2024	—	`conf`	TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models. LREC/COLING Junbing Yan, Chengyu Wang, Taolin Zhang, Xiaofeng He, Jun Huang, Wei Zhang, Longtao Huang, Hui Xue
2024	J	`jnl`	TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models. CoRR Junbing Yan, Chengyu Wang, Taolin Zhang, Xiaofeng He, Jun Huang, Longtao Huang, Hui Xue, Wei Zhang
2024	A*	`conf`	Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing. CVPR Bingyan Liu, Chengyu Wang, Tingfeng Cao, Kui Jia, Jun Huang
2024	J	`jnl`	Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing. CoRR Bingyan Liu, Chengyu Wang, Tingfeng Cao, Kui Jia, Jun Huang
2024	A*	`conf`	VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models. EMNLP Jiapeng Wang, Chengyu Wang, Kunzhe Huang, Jun Huang, Lianwen Jin
2024	J	`jnl`	VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models. CoRR Jiapeng Wang, Chengyu Wang, Kunzhe Huang, Jun Huang, Lianwen Jin
2023	J	`jnl`	A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics. CoRR Xiangru Zhu, Penglei Sun, Chengyu Wang, Jingping Liu, Zhixu Li, Yanghua Xiao, Jun Huang
2023	A	`conf`	AGREE: Aligning Cross-Modal Entities for Image-Text Retrieval Upon Vision-Language Pre-trained Models. WSDM Xiaodan Wang, Lei Li, Zhixu Li, Xuwu Wang, Xiangru Zhu, Chengyu Wang, Jun Huang, Yanghua Xiao
2023	—	`conf`	BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis. EMNLP (Industry Track) Tingfeng Cao, Chengyu Wang, Bingyan Liu, Ziheng Wu, Jinhui Zhu, Jun Huang
2023	J	`jnl`	BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis. CoRR Tingfeng Cao, Chengyu Wang, Bingyan Liu, Ziheng Wu, Jinhui Zhu, Jun Huang
2023	J	`jnl`	Boosting In-Context Learning with Factual Knowledge. CoRR Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao
2023	Misc	`conf`	Boosting Prompt-Based Few-Shot Learners Through Out-of-Domain Knowledge Distillation. ICASSP Xiaoqing Chen, Chengyu Wang, Junwei Dong, Minghui Qiu, Liang Feng, Jun Huang
2023	—	`conf`	CocaCLIP: Exploring Distillation of Fully-Connected Knowledge Interaction Graph for Lightweight Text-Image Retrieval. ACL (industry) Jiapeng Wang, Chengyu Wang, Xiaodan Wang, Jun Huang, Lianwen Jin
2023	J	`jnl`	ConaCLIP: Exploring Distillation of Fully-Connected Knowledge Interaction Graph for Lightweight Text-Image Retrieval. CoRR Jiapeng Wang, Chengyu Wang, Xiaodan Wang, Jun Huang, Lianwen Jin
2023	A*	`conf`	Detection Transformer with Stable Matching. ICCV Shilong Liu, Tianhe Ren, Jiayu Chen, Zhaoyang Zeng, Hao Zhang, Feng Li, Hongyang Li, Jun Huang, Hang Su, Jun Zhu, Lei Zhang
2023	J	`jnl`	Detection Transformer with Stable Matching. CoRR Shilong Liu, Tianhe Ren, Jiayu Chen, Zhaoyang Zeng, Hao Zhang, Feng Li, Hongyang Li, Jun Huang, Hang Su, Jun Zhu, Lei Zhang
2023	J	`jnl`	DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis. CoRR Zhongjie Duan, Lizhou You, Chengyu Wang, Cen Chen, Ziheng Wu, Weining Qian, Jun Huang
2023	J	`jnl`	DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion. CoRR Zhenzhen Chu, Jiayu Chen, Cen Chen, Chengyu Wang, Ziheng Wu, Jun Huang, Weining Qian
2023	J	`jnl`	EasyPhoto: Your Smart AI Photo Generator. CoRR Ziheng Wu, Jiaqi Xu, Xinyi Zou, Kunzhe Huang, Xing Shi, Jun Huang
2023	—	`conf`	FashionKLIP: Enhancing E-Commerce Image-Text Retrieval with Fashion Multi-Modal Conceptual Knowledge Graph. ACL (industry) Xiaodan Wang, Chengyu Wang, Lei Li, Zhixu Li, Ben Chen, Linbo Jin, Jun Huang, Yanghua Xiao, Ming Gao
2023	J	`jnl`	FastBlend: a Powerful Model-Free Toolkit Making Video Stylization Easier. CoRR Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang, Mingyi Jin
2023	A*	`conf`	Fingerprinting Deep Image Restoration Models. ICCV Yuhui Quan, Huan Teng, Ruotao Xu, Jun Huang, Hui Ji
2023	—	`conf`	From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models. EMNLP (Findings) Junbing Yan, Chengyu Wang, Taolin Zhang, Xiaofeng He, Jun Huang, Wei Zhang
2023	J	`jnl`	From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models. CoRR Junbing Yan, Chengyu Wang, Taolin Zhang, Xiaofeng He, Jun Huang, Wei Zhang
2023	J	`jnl`	Hierarchical Side-Tuning for Vision Transformers. CoRR Weifeng Lin, Ziheng Wu, Jiayu Chen, Wentao Yang, Mingxin Huang, Jun Huang, Lianwen Jin
2023	A	`conf`	Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning. WSDM Ziyun Xu, Chengyu Wang, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, Jun Huang
2023	J	`jnl`	Making Small Language Models Better Multi-task Learners with Mixture-of-Task-Adapters. CoRR Yukang Xie, Chengyu Wang, Junbing Yan, Jiyong Zhou, Feiqi Deng, Jun Huang
2023	A*	`conf`	Match4Match: Enhancing Text-Video Retrieval by Maximum Flow with Minimum Cost. WWW Zhongjie Duan, Chengyu Wang, Cen Chen, Wenmeng Zhou, Jun Huang, Weining Qian
2023	A	`conf`	On the Robustness of Split Learning Against Adversarial Attacks. ECAI Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang
2023	J	`jnl`	On the Robustness of Split Learning against Adversarial Attacks. CoRR Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang
2023	J	`jnl`	On the Trustworthiness Landscape of State-of-the-art Generative Models: A Comprehensive Survey. CoRR Mingyuan Fan, Cen Chen, Chengyu Wang, Jun Huang
2023	A	`conf`	Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models. CIKM Zhongjie Duan, Chengyu Wang, Cen Chen, Jun Huang, Weining Qian
2023	J	`jnl`	Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models. CoRR Zhongjie Duan, Chengyu Wang, Cen Chen, Jun Huang, Weining Qian
2023	J	`jnl`	PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud. CoRR Chengyu Wang, Zhongjie Duan, Bingyan Liu, Xinyi Zou, Cen Chen, Kui Jia, Jun Huang
2023	Misc	`conf`	Prompt-Distiller: Few-Shot Knowledge Distillation for Prompt-Based Language Learners with Dual Contrastive Learning. ICASSP Boyu Hou, Chengyu Wang, Xiaoqing Chen, Minghui Qiu, Liang Feng, Jun Huang
2023	—	`conf`	Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed. ACL (industry) Bingyan Liu, Weifeng Lin, Zhongjie Duan, Chengyu Wang, Ziheng Wu, Zhang Zipeng, Kui Jia, Lianwen Jin, Cen Chen, Jun Huang
2023	A*	`conf`	Scale-Aware Modulation Meet Transformer. ICCV Weifeng Lin, Ziheng Wu, Jiayu Chen, Jun Huang, Lianwen Jin
2023	J	`jnl`	Scale-Aware Modulation Meet Transformer. CoRR Weifeng Lin, Ziheng Wu, Jiayu Chen, Jun Huang, Lianwen Jin
2023	—	`conf`	Sharing, Teaching and Aligning: Knowledgeable Transfer Learning for Cross-Lingual Machine Reading Comprehension. EMNLP (Findings) Tingfeng Cao, Chengyu Wang, Chuanqi Tan, Jun Huang, Jinhui Zhu
2023	J	`jnl`	Sharing, Teaching and Aligning: Knowledgeable Transfer Learning for Cross-Lingual Machine Reading Comprehension. CoRR Tingfeng Cao, Chengyu Wang, Chuanqi Tan, Jun Huang, Jinhui Zhu
2023	—	`conf`	Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning. ACL (2) Zhenru Zhang, Chuanqi Tan, Haiyang Xu, Chengyu Wang, Jun Huang, Songfang Huang
2023	J	`jnl`	Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning. CoRR Zhenru Zhang, Chuanqi Tan, Haiyang Xu, Chengyu Wang, Jun Huang, Songfang Huang
2023	J	`jnl`	Towards Better Parameter-Efficient Fine-Tuning for Large Language Models: A Position Paper. CoRR Chengyu Wang, Junbing Yan, Wei Zhang, Jun Huang
2023	J	`jnl`	TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification. CoRR Jianing Wang, Chengyu Wang, Cen Chen, Ming Gao, Jun Huang, Aoying Zhou
2023	—	`conf`	UKT: A Unified Knowledgeable Tuning Framework for Chinese Information Extraction. NLPCC (2) Jiyong Zhou, Chengyu Wang, Junbing Yan, Jianing Wang, Yukang Xie, Jun Huang, Ying Gao
2023	A*	`conf`	Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling. AAAI Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou
2023	—	`conf`	Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. EMNLP (Findings) Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li
2023	J	`jnl`	Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. CoRR Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li
2023	J	`jnl`	Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling. CoRR Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou
2022	—	`conf`	ARTIST: A Transformer-based Chinese Text-to-Image Synthesizer Digesting Linguistic and World Knowledge. EMNLP (Findings) Tingting Liu, Chengyu Wang, Xiangru Zhu, Lei Li, Minghui Qiu, Jun Huang, Ming Gao, Yanghua Xiao
2022	J	`jnl`	ARoBERT: An ASR Robust Pre-Trained Language Model for Spoken Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. Chengyu Wang, Suyang Dai, Yipeng Wang, Fei Yang, Minghui Qiu, Kehan Chen, Wei Zhou, Jun Huang
2022	A	`conf`	Building Natural Language Processing Applications with EasyNLP. CIKM Chengyu Wang, Minghui Qiu, Jun Huang
2022	A*	`conf`	DKPLM: Decomposable Knowledge-Enhanced Pre-trained Language Model for Natural Language Understanding. AAAI Taolin Zhang, Chengyu Wang, Nan Hu, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang
2022	—	`conf`	EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing. EMNLP (Demos) Chengyu Wang, Minghui Qiu, Taolin Zhang, Tingting Liu, Lei Li, Jianing Wang, Ming Wang, Jun Huang, Wei Lin
2022	J	`jnl`	EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing. CoRR Chengyu Wang, Minghui Qiu, Taolin Zhang, Tingting Liu, Lei Li, Jianing Wang, Ming Wang, Jun Huang, Wei Lin
2022	A*	`conf`	From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression. AAAI Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang
2022	A*	`conf`	KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering. EMNLP Jianing Wang, Chengyu Wang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Jun Huang, Ming Gao
2022	J	`jnl`	KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering. CoRR Jianing Wang, Chengyu Wang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Jun Huang, Ming Gao
2022	J	`jnl`	Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning. CoRR Ziyun Xu, Chengyu Wang, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, Jun Huang
2022	C	`conf`	Optimizing Federated Unsupervised Person Re-identification via Camera-aware Clustering. MMSP Jiabei Liu, Weiming Zhuang, Yonggang Wen, Jun Huang, Wei Lin
2022	Misc	`conf`	Quantized Winograd Acceleration for CONV1D Equipped ASR Models on Mobile Devices. ICASSP Yiwu Yao, Chengyu Wang, Jun Huang
2022	J	`jnl`	Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning. CoRR Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang, Ximeng Liu, Wenzhong Guo
2022	—	`conf`	Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training. EMNLP (Industry Track) Taolin Zhang, Junwei Dong, Jianing Wang, Chengyu Wang, Ang Wang, Yinghui Liu, Jun Huang, Yong Li, Xiaofeng He
2022	J	`jnl`	Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training. CoRR Taolin Zhang, Junwei Dong, Jianing Wang, Chengyu Wang, Ang Wang, Yinghui Liu, Jun Huang, Yong Li, Xiaofeng He
2022	A*	`conf`	SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition. EMNLP Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao
2022	J	`jnl`	SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition. CoRR Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao
2022	J	`jnl`	YOLOX-PAI: An Improved YOLOX Version by PAI. CoRR Xinyi Zou, Ziheng Wu, Wenmeng Zhou, Jun Huang
2021	—	`conf`	CAT-BERT: A Context-Aware Transferable BERT Model for Multi-turn Machine Reading Comprehension. DASFAA (2) Cen Chen, Xinjing Huang, Feng Ji, Chengyu Wang, Minghui Qiu, Jun Huang, Yin Zhang
2021	J	`jnl`	DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding. CoRR Taolin Zhang, Chengyu Wang, Nan Hu, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang
2021	A*	`conf`	EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition. AAAI Chengyu Wang, Mengli Cheng, Xu Hu, Jun Huang
2021	A	`conf`	EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CIKM Minghui Qiu, Peng Li, Chengyu Wang, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai, Wei Lin
2021	J	`jnl`	From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression. CoRR Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang
2021	A	`conf`	HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources. CIKM Taolin Zhang, Zerui Cai, Chengyu Wang, Peng Li, Yang Li, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang
2021	A*	`conf`	KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification. AAAI Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He
2021	—	`conf`	Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources. ACL/IJCNLP (Findings) Taolin Zhang, Chengyu Wang, Minghui Qiu, Bite Yang, Zerui Cai, Xiaofeng He, Jun Huang
2021	A	`conf`	Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations. CIKM Haojie Pan, Cen Chen, Chengyu Wang, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang
2021	A*	`conf`	MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong Learning. KDD Chengyu Wang, Haojie Pan, Yuan Liu, Kehan Chen, Minghui Qiu, Wei Zhou, Jun Huang, Haiqing Chen, Wei Lin, Deng Cai
2021	—	`conf`	Meta Distant Transfer Learning for Pre-trained Language Models. EMNLP (1) Chengyu Wang, Haojie Pan, Minghui Qiu, Jun Huang, Fei Yang, Yin Zhang
2021	—	`conf`	Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains. ACL/IJCNLP (1) Haojie Pan, Chengyu Wang, Minghui Qiu, Yichang Zhang, Yaliang Li, Jun Huang
2021	A*	`conf`	Reinforced History Backtracking for Conversational Question Answering. AAAI Minghui Qiu, Xinjing Huang, Cen Chen, Feng Ji, Chen Qu, Wei Wei, Jun Huang, Yin Zhang
2021	—	`conf`	TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification. EMNLP (1) Chengyu Wang, Jianing Wang, Minghui Qiu, Jun Huang, Ming Gao
2021	A	`conf`	Weakly Supervised Construction of ASR Systems from Massive Video Data. Interspeech Mengli Cheng, Chengyu Wang, Jun Huang, Xiaobo Wang
2021	—	`conf`	When Few-Shot Learning Meets Large-Scale Knowledge-Enhanced Pre-training: Alibaba at FewCLUE. NLPCC (2) Ziyun Xu, Chengyu Wang, Peng Li, Yang Li, Ming Wang, Boyu Hou, Minghui Qiu, Chengguang Tang, Jun Huang
2020	A*	`conf`	AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. IJCAI Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou
2020	J	`jnl`	AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. CoRR Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou
2020	J	`jnl`	EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition. CoRR Chengyu Wang, Mengli Cheng, Xu Hu, Jun Huang
2020	J	`jnl`	EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CoRR 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
2020	J	`jnl`	INT8 Winograd Acceleration for Conv1D Equipped ASR Models Deployed on Mobile Devices. CoRR Yiwu Yao, Yuchao Li, Chengyu Wang, Tianhang Yu, Houjiang Chen, Xiaotang Jiang, Jun Yang, Jun Huang, Wei Lin, Hui Shu, Chengfei Lv
2020	J	`jnl`	KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification. CoRR Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He
2020	J	`jnl`	Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources. CoRR Taolin Zhang, Chengyu Wang, Minghui Qiu, Bite Yang, Xiaofeng He, Jun Huang
2020	J	`jnl`	Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations. CoRR Haojie Pan, Cen Chen, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang, Haiqing Chen
2020	—	`conf`	Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining. EMNLP (1) Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He
2020	J	`jnl`	Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining. CoRR Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He
2020	J	`jnl`	Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains. CoRR Haojie Pan, Chengyu Wang, Minghui Qiu, Yichang Zhang, Yaliang Li, Jun Huang
2020	J	`jnl`	One-shot Text Field Labeling using Attention and Belief Propagation for Structure Information Extraction. CoRR Mengli Cheng, Minghui Qiu, Xing Shi, Jun Huang, Wei Lin
2020	A*	`conf`	One-shot Text Field labeling using Attention and Belief Propagation for Structure Information Extraction. ACM Multimedia Mengli Cheng, Minghui Qiu, Xing Shi, Jun Huang, Wei Lin
2020	A*	`conf`	SwapText: Image Based Texts Transfer in Scenes. CVPR Qiangpeng Yang, Jun Huang, Wei Lin
2020	J	`jnl`	SwapText: Image Based Texts Transfer in Scenes. CoRR Qiangpeng Yang, Hongsheng Jin, Jun Huang, Wei Lin
2020	J	`jnl`	Weakly Supervised Construction of ASR Systems with Massive Video Data. CoRR Mengli Cheng, Chengyu Wang, Xu Hu, Jun Huang, Xiaobo Wang
2019	A*	`conf`	A Minimax Game for Instance based Selective Transfer Learning. KDD Bo Wang, Minghui Qiu, Xisen Wang, Yaliang Li, Yu Gong, Xiaoyi Zeng, Jun Huang, Bo Zheng, Deng Cai, Jingren Zhou
2019	A*	`conf`	AliISA: Creating an Interactive Search Experience in E-commerce Platforms. SIGIR Fei Xiao, Zhen Wang, Haikuan Huang, Jun Huang, Xi Chen, Hongbo Deng, Minghui Qiu, Xiaoli Gong
2019	J	`jnl`	Artificial Intelligence for Prosthetics - challenge solutions. CoRR Lukasz Kidzinski, Carmichael F. Ong, Sharada Prasanna Mohanty, Jennifer L. Hicks, Sean F. Carroll, Bo Zhou, Hongsheng 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
2019	A	`conf`	Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search. CIKM Minghui Qiu, Bo Wang, Cen Chen, Xiaoyi Zeng, Jun Huang, Deng Cai, Jingren Zhou, Forrest Sheng Bao
2019	A	`conf`	Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching. WSDM Chen Qu, Feng Ji, Minghui Qiu, Liu Yang, Zhiyu Min, Haiqing Chen, Jun Huang, W. Bruce Croft
2019	A*	`conf`	Multi-Domain Gated CNN for Review Helpfulness Prediction. WWW Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao
2019	A*	`conf`	Scene Text Recognition with Auto-Aligned Feature Generator. ICDM Qiangpeng Yang, Hongsheng Jin, Mengli Cheng, Wenmeng Zhou, Jun Huang, Wei Lin
2018	J	`jnl`	AliMe Assist: An Intelligent Assistant for Creating an Innovative E-commerce Experience. CoRR 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
2018	J	`jnl`	Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching. CoRR Chen Qu, Feng Ji, Minghui Qiu, Liu Yang, Zhiyu Min, Haiqing Chen, Jun Huang, W. Bruce Croft
2018	A	`conf`	Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce. WSDM Jianfei Yu, Minghui Qiu, Jing Jiang, Jun Huang, Shuangyong Song, Wei Chu, Haiqing Chen
2018	A*	`conf`	Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems. SIGIR Liu Yang, Minghui Qiu, Chen Qu, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Jun Huang, Haiqing Chen
2018	J	`jnl`	Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems. CoRR Liu Yang, Minghui Qiu, Chen Qu, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Jun Huang, Haiqing Chen
2018	J	`jnl`	Review Helpfulness Prediction with Embedding-Gated CNN. CoRR Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao
2018	—	`conf`	Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce. ACL (2) Minghui Qiu, Liu Yang, Feng Ji, Wei Zhou, Jun Huang, Haiqing Chen, W. Bruce Croft, Wei Lin
2018	J	`jnl`	Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce. CoRR Minghui Qiu, Liu Yang, Feng Ji, Weipeng Zhao, Wei Zhou, Jun Huang, Haiqing Chen, W. Bruce Croft, Wei Lin
2017	A	`conf`	A Communication Efficient Parallel DBSCAN Algorithm based on Parameter Server. CIKM Xu Hu, Jun Huang, Minghui Qiu
2017	A*	`conf`	A Short-Term Rainfall Prediction Model Using Multi-task Convolutional Neural Networks. ICDM Minghui Qiu, Peilin Zhao, Ke Zhang, Jun Huang, Xing Shi, Xiaoguang Wang, Wei Chu
2017	—	`conf`	AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine. ACL (2) Minghui Qiu, Feng-Lin Li, Siyu Wang, Xing Gao, Yan Chen, Weipeng Zhao, Haiqing Chen, Jun Huang, Wei Chu
2017	J	`jnl`	Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce. CoRR Jianfei Yu, Minghui Qiu, Jing Jiang, Jun Huang, Shuangyong Song, Wei Chu, Haiqing Chen
2017	J	`jnl`	PS-DBSCAN: An Efficient Parallel DBSCAN Algorithm Based on Platform Of AI (PAI). CoRR Xu Hu, Jun Huang, Minghui Qiu, Cen Chen, Wei Chu
2017	—	`conf`	PSMART: Parameter Server based Multiple Additive Regression Trees System. WWW (Companion Volume) Jun Zhou, Qing Cui, Xiaolong Li, Peilin Zhao, Shenquan Qu, Jun Huang