Jinchao Zhang

According to our database, Jinchao Zhang authored at least 69 papers between 2014 and 2025.

Collaborative distances:

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

2025

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection.

Zexi Jia, Chuanwei Huang, Yeshuang Zhu, Hongyan Fei, Ying Deng, Zhiqiang Yuan, Jiapei Zhang, Jinchao Zhang, Jie Zhou

CoRR, July, 2025

A Visual Leap in CLIP Compositionality Reasoning through Generation of Counterfactual Sets.

Zexi Jia, Chuanwei Huang, Hongyan Fei, Yeshuang Zhu, Zhiqiang Yuan, Ying Deng, Jiapei Zhang, Jinchao Zhang, Jie Zhou

CoRR, July, 2025

RDTF: Resource-efficient Dual-mask Training Framework for Multi-frame Animated Sticker Generation.

Zhiqiang Yuan, Ting Zhang, Ying Deng, Jiapei Zhang, Yeshuang Zhu, Zexi Jia, Jie Zhou, Jinchao Zhang

CoRR, March, 2025

Exploiting Prefix-Tree in Structured Output Interfaces for Enhancing Jailbreak Attacking.

Yanzeng Li, Yunfan Xiong, Jialun Zhong, Jinchao Zhang, Jie Zhou, Lei Zou

CoRR, February, 2025

Control-CLIP: Decoupling Category and Style Guidance in CLIP for Specific-Domain Generation.

Zexi Jia, Chuanwei Huang, Hongyan Fei, Yeshuang Zhu, Zhiqiang Yuan, Jinchao Zhang, Jie Zhou

CoRR, February, 2025

ILDiff: Generate Transparent Animated Stickers by Implicit Layout Distillation.

Ting Zhang, Zhiqiang Yuan, Yeshuang Zhu, Jie Zhou, Jinchao Zhang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Semantic to Structure: Learning Structural Representations for Infringement Detection.

Chuanwei Huang, Zexi Jia, Hongyan Fei, Yeshuang Zhu, Zhiqiang Yuan, Jinchao Zhang, Jie Zhou

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Secret Lies in Color: Enhancing AI-Generated Images Detection with Color Distribution Analysis.

Zexi Jia, Chuanwei Huang, Yeshuang Zhu, Hongyan Fei, Xiaoyue Duan, Zhiqiang Yuan, Ying Deng, Jiapei Zhang, Jinchao Zhang, Jie Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Investigating Context-Aware Collaborative Text Entry on Smartphones using Large Language Models.

Weihao Chen, Yuanchun Shi, Yukun Wang, Weinan Shi, Meizhu Chen, Cheng Gao, Yu Mei, Yeshuang Zhu, Jinchao Zhang, Chun Yu

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

2024

Overview of the Tenth Dialog System Technology Challenge: DSTC10.

Koichiro Yoshino, Yun-Nung Chen, Paul A. Crook, Satwik Kottur, Jinchao Li, Behnam Hedayatnia, Seungwhan Moon, Zhengcong Fei, Zekang Li, Jinchao Zhang, Yang Feng, Jie Zhou, Seokhwan Kim, Yang Liu, Di Jin, Alexandros Papangelis, Karthik Gopalakrishnan, Dilek Hakkani-Tur, Babak Damavandi, Alborz Geramifard, Chiori Hori, Ankit Shah, Chen Zhang, Haizhou Li, João Sedoc, Luis F. D'Haro, Rafael E. Banchs, Alexander Rudnicky

IEEE ACM Trans. Audio Speech Lang. Process., 2024

WalkVLM:Aid Visually Impaired People Walking by Vision Language Model.

Zhiqiang Yuan, Ting Zhang, Jiapei Zhang, Jie Zhou, Jinchao Zhang

CoRR, 2024

ILDiff: Generate Transparent Animated Stickers by Implicit Layout Distillation.

Ting Zhang, Zhiqiang Yuan, Yeshuang Zhu, Jinchao Zhang

CoRR, 2024

VSD2M: A Large-scale Vision-language Sticker Dataset for Multi-frame Animated Sticker Generation.

Zhiqiang Yuan, Jiapei Zhang, Ying Deng, Yeshuang Zhu, Jie Zhou, Jinchao Zhang

CoRR, 2024

MedDiT: A Knowledge-Controlled Diffusion Transformer Framework for Dynamic Medical Image Generation in Virtual Simulated Patient.

Yanzeng Li, Cheng Zeng, Jinchao Zhang, Jie Zhou, Lei Zou

CoRR, 2024

Mobius: A High Efficient Spatial-Temporal Parallel Training Paradigm for Text-to-Video Generation Task.

Yiran Yang, Jinchao Zhang, Ying Deng, Jie Zhou

CoRR, 2024

Enhancing Note-Level Singing Transcription Model with Unlabeled and Weakly Labeled Data.

Yao Qiu, Jinchao Zhang, Yong Shan, Jie Zhou

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

LingGe: An Automatic Ancient Chinese Poem-to-Song Generation System.

Yong Shan, Jinchao Zhang, Huiying Ren, Yao Qiu, Jie Zhou

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Humming2Music: Being A Composer As Long As You Can Humming.

Yao Qiu, Jinchao Zhang, Huiying Ren, Yong Shan, Jie Zhou

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Enhancing Dialogue Generation with Conversational Concept Flows.

Siheng Li, Wangjie Jiang, Pengda Si, Cheng Yang, Yao Qiu, Jinchao Zhang, Jie Zhou, Yujiu Yang

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

Rephrasing the Reference for Non-autoregressive Machine Translation.

Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng

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

2022

MKGN: A Multi-Dimensional Knowledge Enhanced Graph Network for Multi-Hop Question and Answering.

Ying Zhang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou

IEICE Trans. Inf. Syst., 2022

AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning.

Jiaxin Wen, Yeshuang Zhu, Jinchao Zhang, Jie Zhou, Minlie Huang

CoRR, 2022

Mental Health Assessment for the Chatbots.

Yong Shan, Jinchao Zhang, Zekang Li, Yang Feng, Jie Zhou

CoRR, 2022

Structure-Enhanced Pop Music Generation via Harmony-Aware Learning.

Xueyao Zhang, Jinchao Zhang, Yao Qiu, Li Wang, Jie Zhou

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

High-Resolution and Arbitrary-Sized Chinese Landscape Painting Creation Based on Generative Adversarial Networks.

Peixiang Luo, Jinchao Zhang, Jie Zhou

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

AutoCAD: Automatically Generate Counterfactuals for Mitigating Shortcut Learning.

Jiaxin Wen, Yeshuang Zhu, Jinchao Zhang, Jie Zhou, Minlie Huang

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

Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues.

Jiao Ou, Jinchao Zhang, Yang Feng, Jie Zhou

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

Selecting Stickers in Open-Domain Dialogue through Multitask Learning.

Zhexin Zhang, Yeshuang Zhu, Zhengcong Fei, Jinchao Zhang, Jie Zhou

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

2021

Bridging Text and Video: A Universal Multimodal Transformer for Audio-Visual Scene-Aware Dialog.

Zekang Li, Zongjia Li, Jinchao Zhang, Yang Feng, Jie Zhou

IEEE ACM Trans. Audio Speech Lang. Process., 2021

A dependency syntactic knowledge augmented interactive architecture for end-to-end aspect-based sentiment analysis.

Yunlong Liang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou

Neurocomputing, 2021

Constructing Emotion Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generation.

Lei Shen, Jinchao Zhang, Jiao Ou, Xiaofang Zhao, Jie Zhou

CoRR, 2021

Challenging Instances are Worth Learning: Generating Valuable Negative Samples for Response Selection Training.

Yao Qiu, Jinchao Zhang, Huiying Ren, Jie Zhou

CoRR, 2021

Guiding Topic Flows in the Generative Chatbot by Enhancing the ConceptNet with the Conversation Corpora.

Pengda Si, Yao Qiu, Jinchao Zhang, Yujiu Yang

CoRR, 2021

Towards Expressive Communication with Internet Memes: A New Multimodal Conversation Dataset and Benchmark.

Zhengcong Fei, Zekang Li, Jinchao Zhang, Yang Feng, Jie Zhou

CoRR, 2021

WeChat AI's Submission for DSTC9 Interactive Dialogue Evaluation Track.

Zekang Li, Zongjia Li, Jinchao Zhang, Yang Feng, Jie Zhou

CoRR, 2021

Sequence-Level Training for Non-Autoregressive Neural Machine Translation.

Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Jie Zhou

Comput. Linguistics, 2021

Constructing Emotional Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generation.

Lei Shen, Jinchao Zhang, Jiao Ou, Xiaofang Zhao, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification.

Shuhuai Ren, Jinchao Zhang, Lei Li, Xu Sun, Jie Zhou

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

Different Strokes for Different Folks: Investigating Appropriate Further Pre-training Approaches for Diverse Dialogue Tasks.

Yao Qiu, Jinchao Zhang, Jie Zhou

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

An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis.

Yunlong Liang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

GTM: A Generative Triple-wise Model for Conversational Question Generation.

Lei Shen, Fandong Meng, Jinchao Zhang, Yang Feng, Jie Zhou

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder.

Yao Qiu, Jinchao Zhang, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Scheduled Dialog Policy Learning: An Automatic Curriculum Learning Framework for Task-oriented Dialog System.

Sihong Liu, Jinchao Zhang, Keqing He, Weiran Xu, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency.

Zekang Li, Jinchao Zhang, Zhengcong Fei, Yang Feng, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances.

Zekang Li, Jinchao Zhang, Zhengcong Fei, Yang Feng, Jie Zhou

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Toward Fully Exploiting Heterogeneous Corpus: A Decoupled Named Entity Recognition Model with Two-stage Training.

Yun Hu, Yeshuang Zhu, Jinchao Zhang, Changwen Zheng, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Modeling Inter-Aspect Dependencies with a Non-temporal Mechanism for Aspect-Based Sentiment Analysis.

Yunlong Liang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou

CoRR, 2020

Towards Multimodal Response Generation with Exemplar Augmentation and Curriculum Optimization.

Zeyang Lei, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Yujiu Yang, Cheng Niu, Jie Zhou

CoRR, 2020

An Iterative Knowledge Transfer Network with Routing for Aspect-based Sentiment Analysis.

Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou

CoRR, 2020

Bridging Text and Video: A Universal Multimodal Transformer for Video-Audio Scene-Aware Dialog.

Zekang Li, Zongjia Li, Jinchao Zhang, Yang Feng, Cheng Niu, Jie Zhou

CoRR, 2020

Token-level Adaptive Training for Neural Machine Translation.

Shuhao Gu, Jinchao Zhang, Fandong Meng, Yang Feng, Wanying Xie, Jie Zhou, Dong Yu

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

One Comment from One Perspective: An Effective Strategy for Enhancing Automatic Music Comment.

Tengfei Huo, Zhiqiang Liu, Jinchao Zhang, Jie Zhou

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack.

Keqing He, Jinchao Zhang, Yuanmeng Yan, Weiran Xu, Cheng Niu, Jie Zhou

Proceedings of the 28th International Conference on Computational Linguistics, 2020

A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking.

Yong Shan, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Cheng Niu, Jie Zhou

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation.

Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Multi-Zone Unit for Recurrent Neural Networks.

Fandong Meng, Jinchao Zhang, Yang Liu, Jie Zhou

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Improving Bidirectional Decoding with Dynamic Target Semantics in Neural Machine Translation.

Yong Shan, Yang Feng, Jinchao Zhang, Fandong Meng, Wen Zhang

CoRR, 2019

An end-to-end Neural Network Framework for Text Clustering.

Jie Zhou, Xingyi Cheng, Jinchao Zhang

CoRR, 2019

Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation.

Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng, Jie Zhou

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding.

Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis.

Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation.

Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling.

Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

DTMT: A Novel Deep Transition Architecture for Neural Machine Translation.

Fandong Meng, Jinchao Zhang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

CASICT-DCU Neural Machine Translation Systems for WMT17.

Jinchao Zhang, Peerachet Porkaew, Jiawei Hu, Qiuye Zhao, Qun Liu

Proceedings of the Second Conference on Machine Translation, 2017

ME-MD: An Effective Framework for Neural Machine Translation with Multiple Encoders and Decoders.

Jinchao Zhang, Qun Liu, Jie Zhou

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation.

Jinchao Zhang, Mingxuan Wang, Qun Liu, Jie Zhou

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

2016

Is Local Window Essential for Neural Network Based Chinese Word Segmentation?

Jinchao Zhang, Fandong Meng, Mingxuan Wang, Daqi Zheng, Wenbin Jiang, Qun Liu

Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2016

2014

BigOP: Generating Comprehensive Big Data Workloads as a Benchmarking Framework.

Yuqing Zhu, Jianfeng Zhan, Chuliang Weng, Raghunath Nambiar, Jinchao Zhang, Xingzhen Chen, Lei Wang

Proceedings of the Database Systems for Advanced Applications, 2014