Opportunities or Risks to Reduce Labor in Crowdsourcing Translation? Characterizing Cost versus Quality via a PageRank-HITS Hybrid Model. - Rui Yan 001; Yiping Song; Cheng-Te Li; Ming Zhang 004; Xiaohua Hu 001 (IJCAI, 2015)

"Shall I Be Your Chat Companion?": Towards an Online Human-Computer Conversation System. - Rui Yan 001; Yiping Song; Xiangyang Zhou; Hua Wu 003 (CIKM, 2016)

Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation. - Lili Mou; Yiping Song; Rui Yan 001; Ge Li 001; Lu Zhang 023; Zhi Jin (COLING, 2016)

Dialogue Session Segmentation by Embedding-Enhanced TextTiling. - Yiping Song; Lili Mou; Rui Yan 001; Li Yi; Zinan Zhu; Xiaohua Hu 001; Ming Zhang 004 (INTERSPEECH, 2016)

Learning to Respond with Deep Neural Networks for Retrieval-Based Human-Computer Conversation System. - Rui Yan 001; Yiping Song; Hua Wu 003 (SIGIR, 2016)

Two are Better than One: An Ensemble of Retrieval- and Generation-Based Dialog Systems. - Yiping Song; Rui Yan 001; Xiang Li 065; Dongyan Zhao 001; Ming Zhang 004 (CoRR, 2016)

How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models. - Zhiliang Tian; Rui Yan 001; Lili Mou; Yiping Song; Yansong Feng 002; Dongyan Zhao 001 (ACL (2), 2017)

Diversifying Neural Conversation Model with Maximal Marginal Relevance. - Yiping Song; Zhiliang Tian; Dongyan Zhao 001; Ming Zhang 004; Rui Yan 001 (IJCNLP(2), 2017)

ACCNet: Actor-Coordinator-Critic Net for "Learning-to-Communicate" with Deep Multi-agent Reinforcement Learning. - Hangyu Mao; Zhibo Gong; Yan Ni; Xiangyu Liu; Quanbin Wang; Weichen Ke; Chao Ma; Yiping Song; Zhen Xiao (CoRR, 2017)

Towards a Neural Conversation Model With Diversity Net Using Determinantal Point Processes. - Yiping Song; Rui Yan 001; Yansong Feng 002; Yaoyuan Zhang; Dongyan Zhao 001; Ming Zhang 004 (AAAI, 2018)

An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems. - Yiping Song; Cheng-Te Li; Jian-Yun Nie; Ming Zhang 004; Dongyan Zhao 001; Rui Yan 001 (IJCAI, 2018)

Learning to Customize Language Model for Generation-based dialog systems. - Yiping Song; Zequn Liu; Wei Bi; Rui Yan 001; Ming Zhang 004 (CoRR, 2019)

eSHAFTS: Integrated and graphical drug design software based on 3D molecular similarity. - Gaoqi He; Yiping Song; Wenhao Wei; Xia Wang; Xingjian Lu; Honglin Li 003 (J. Comput. Chem., 2019)

Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks. - Yiping Song; Zequn Liu; Wei Bi; Rui Yan 001; Ming Zhang 004 (ACL, 2020)

Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation. - Zhiliang Tian; Wei Bi; Dongkyu Lee; Lanqing Xue; Yiping Song; Xiaojiang Liu; Nevin L. Zhang (ACL, 2020)

Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases. - Luchen Liu; Zequn Liu; Haoxian Wu; Zichang Wang; Jianhao Shen; Yiping Song; Ming Zhang 004 (AMIA, 2020)

When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications. - Zequn Liu; Ruiyi Zhang; Yiping Song; Ming Zhang 004 (CoRR, 2020)

Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks. - Zhiliang Tian; Wei Bi; Zihan Zhang; Dongkyu Lee; Yiping Song; Nevin L. Zhang (AAAI, 2021)

Trivial bundle embeddings for learning graph representations. - Zheng Xie; Xiaojing Zuo; Yiping Song (CoRR, 2021)

Sentiment-Aware Emoji Insertion Via Sequence Tagging. - Fuqiang Lin; Yiping Song; Xingkong Ma; Erxue Min; Bo Liu 014 (IEEE Multim., 2021)

DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation. - Yifan Wang 014; Yiping Song; Shuai Li; Chaoran Cheng; Wei Ju 001; Ming Zhang 004; Sheng Wang 012 (AAAI, 2022)

Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation. - Yingxiu Zhao; Zhiliang Tian; Huaxiu Yao; Yinhe Zheng; Dongkyu Lee; Yiping Song; Jian Sun 021; Nevin L. Zhang (ACL (1), 2022)

Emotion-Aware Multimodal Pre-training for Image-Grounded Emotional Response Generation. - Zhiliang Tian; Zhihua Wen; Zhenghao Wu; Yiping Song; Jintao Tang; Dongsheng Li 001; Nevin L. Zhang (DASFAA (3), 2022)

Empathetic and Emotionally Positive Conversation Systems with an Emotion-specific Query-Response Memory. - Zhiliang Tian; Yinliang Wang; Yiping Song; Chi Zhang; Dongkyu Lee; Yingxiu Zhao; Dongsheng Li 001; Nevin L. Zhang (EMNLP (Findings), 2022)

Retrieval Bias Aware Ensemble Model for Conditional Sentence Generation. - Yiping Song; Zheng Xie; Jianping Li; Luchen Liu; Ming Zhang 004; Zhiliang Tian (ICASSP, 2022)

Building Conversational Diagnosis Systems for Fine-Grained Diseases Using Few Annotated Data. - Yiping Song; Wei Ju 001; Zhiliang Tian; Luchen Liu; Ming Zhang 004; Zheng Xie (ICONIP (3), 2022)

HE-SNE: Heterogeneous Event Sequence-based Streaming Network Embedding for Dynamic Behaviors. - Yifan Wang 014; Jianhao Shen; Yiping Song; Sheng Wang 012; Ming Zhang 004 (IJCNN, 2022)

Learning to classify relations between entities from noisy data - A meta instance reweighting approach. - Zhenzhen Li; Jian-Yun Nie; Yiping Song; Pan Du 001; Dongsheng Li 001 (Expert Syst. Appl., 2022)

A multi-view method of scientific paper classification via heterogeneous graph embeddings. - Yiqin Lv; Zheng Xie; Xiaojing Zuo; Yiping Song (Scientometrics, 2022)

Minimum Perfect Critical Sets with 4 Vertices of Tree Graphs. - Li Dai; Yiping Song (ACC, 2023)

Multi-scale Graph Pooling Approach with Adaptive Key Subgraph for Graph Representations. - Yiqin Lv; Zhiliang Tian; Zheng Xie; Yiping Song (CIKM, 2023)

A Meta Learning-Based Training Algorithm for Robust Dialogue Generation. - Ziyi Hu; Yiping Song (ICONIP (15), 2023)

A Multi-view Meta-learning Approach for Multi-modal Response Generation. - Zhiliang Tian; Zheng Xie; Fuqiang Lin; Yiping Song (WWW, 2023)

StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer. - Kangchen Zhu; Zhiliang Tian; Jingyu Wei; Ruifeng Luo; Yiping Song; Xiaoguang Mao (LREC/COLING, 2024)

Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models. - Yuxuan Guo; Zhiliang Tian; Yiping Song; Tianlun Liu; Liang Ding 006; Dongsheng Li 001 (EMNLP, 2024)

DiffuStra: A Diffusion Model for Dialog Strategy in Non-Collaborative Dialog Systems. - Haixiang Zhu; Jing Ye; Jianbing Tang; Yiping Song (ICME, 2024)

Memory-enhanced text style transfer with dynamic style learning and calibration. - Fuqiang Lin; Yiping Song; Zhiliang Tian; Wangqun Chen; Diwen Dong; Bo Liu 014 (Sci. China Inf. Sci., 2024)

LLM-based Privacy Data Augmentation Guided by Knowledge Distillation with a Distribution Tutor for Medical Text Classification. - Yiping Song; Juhua Zhang; Zhiliang Tian; Yuxin Yang; Minlie Huang; Dongsheng Li 001 (CoRR, 2024)

Learn to Disguise: Avoid Refusal Responses in LLM's Defense via a Multi-agent Attacker-Disguiser Game. - Qianqiao Xu; Zhiliang Tian; Hongyan Wu; Zhen Huang 006; Yiping Song; Feng Liu; Dongsheng Li 001 (CoRR, 2024)

Data labeling through the centralities of co-reference networks improves the classification accuracy of scientific papers. - Zheng Xie; Yiqin Lv; Yiping Song; Qi Wang (J. Informetrics, 2024)

RMath: A Logic Reasoning-Focused Datasets Toward Mathematical Multistep Reasoning Tasks. - Ziyi Hu; Jun Liu; Zhongzhi Liu; Yuzhong Liu; Zheng Xie; Yiping Song (AAAI, 2025)

Advancing Collaborative Debates with Role Differentiation through Multi-Agent Reinforcement Learning. - Haoran Li; Ziyi Su; Yun Xue; Zhiliang Tian; Yiping Song; Minlie Huang (ACL (1), 2025)

DPGA-TextSyn: Differentially Private Genetic Algorithm for Synthetic Text Generation. - Zhonghao Sun; Zhiliang Tian; Yiping Song; Yuyi Si; Juhua Zhang; Minlie Huang; Kai Lu 001; Zeyu Xiong; Xinwang Liu 002; Dongsheng Li 001 (ACL (Findings), 2025)

DYNTEXT: Semantic-Aware Dynamic Text Sanitization for Privacy-Preserving LLM Inference. - Juhua Zhang; Zhiliang Tian; Minghang Zhu; Yiping Song; Taishu Sheng; Siyi Yang; Qiunan Du; Xinwang Liu 002; Minlie Huang; Dongsheng Li 001 (ACL (Findings), 2025)

MSG-LLM: A Multi-scale Interactive Framework for Graph-enhanced Large Language Models. - Jiayu Ding; Zhangkai Zheng; Benshuo Lin; Yun Xue; Yiping Song (COLING, 2025)

LLM-guided decision-making toolkit for multi-agent reinforcement learning. - Zhemin Li; Ruobing Zhang; Zhengming Wang; Zheng Xie; Yiping Song (Neurocomputing, 2025)

Knowledge based attribute completion for heterogeneous graph node classification. - Haibo Yu; Zhangkai Zheng; Yun Xue; Yiping Song; Zhuoming Liang (Neurocomputing, 2025)

MetaMolGen: A Neural Graph Motif Generation Model for De Novo Molecular Design. - Zimo Yan; Jie Zhang; Zheng Xie; Chang Liu; Yizhen Liu; Yiping Song (CoRR, 2025)

GenOM: Ontology Matching with Description Generation and Large Language Model. - Yiping Song; Jiaoyan Chen; Renate A. Schmidt (CoRR, 2025)