Chuan Qin - RankMe

91 papers A* 30A 4B 1Journal 49Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI-driven skill keyword suggestion for multi-round interviews: A graph-based topic approach. Inf. Process. Manag. Yuhan Su, Hongke Zhao, Chuan Qin, Dazhong Shen, Hengshu Zhu
2026	A*	`conf`	ARADD: An Automatic Real-World API Discovery and Deployment Framework for AI Guide Service in Baidu Map. WWW Fuling Wang, Le Zhang, Jingbo Zhou, Jindong Han, Ying Sun, Chuan Qin, Hengshu Zhu, Hui Xiong
2026	A*	`conf`	Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models. AAAI Yongwen Ren, Chao Wang, Peng Du, Chuan Qin, Dazhong Shen, Hui Xiong
2026	J	`jnl`	MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios. CoRR Zhiheng Song, Jingshuai Zhang, Chuan Qin, Chao Wang, Chao Chen, Longfei Xu, Kaikui Liu, Xiangxiang Chu, Hengshu Zhu
2026	J	`jnl`	Prompting is not Enough: Exploring Knowledge Integration and Controllable Generation on Large Language Models. Big Data Min. Anal. Tingjia Shen, Hao Wang, Chuan Qin, Ruijun Sun, Yang Song, Defu Lian, Hengshu Zhu, Enhong Chen
2026	J	`jnl`	SciHorizon-GENE: Benchmarking LLM for Life Sciences Inference from Gene Knowledge to Functional Understanding. CoRR Xiaohan Huang, Meng Xiao, Chuan Qin, Qingqing Long, Jinmiao Chen, Yuanchun Zhou, Hengshu Zhu
2026	J	`jnl`	Turning Semantics into Topology: LLM-Driven Attribute Augmentation for Collaborative Filtering. CoRR Junjie Meng, Ranxu Zhang, Wei Wu, Rui Zhang, Chuan Qin, Qi Zhang, Qi Liu, Hui Xiong, Chao Wang
2026	J	`jnl`	VERDICT: Verifiable Evolving Reasoning with Directive-Informed Collegial Teams for Legal Judgment Prediction. CoRR Hui Liao, Chuan Qin, Yongwen Ren, Hao Li, Zhenya Huang, Yanyong Zhang, Chao Wang
2025	J	`jnl`	A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics. Proc. IEEE Chuan Qin, Le Zhang, Yihang Cheng, Rui Zha, Dazhong Shen, Qi Zhang, Xi Chen, Ying Sun, Chen Zhu, Hengshu Zhu, Hui Xiong
2025	J	`jnl`	A Comprehensive Survey on Self-Interpretable Neural Networks. CoRR Yang Ji, Ying Sun, Yuting Zhang, Zhigaoyuan Wang, Yuanxin Zhuang, Zheng Gong, Dazhong Shen, Chuan Qin, Hengshu Zhu, Hui Xiong
2025	J	`jnl`	A Comprehensive Survey on Self-Interpretable Neural Networks. Proc. IEEE Yang Ji, Ying Sun, Yuting Zhang, Zhigaoyuan Wang, Yuanxin Zhuang, Zheng Gong, Dazhong Shen, Chuan Qin, Hengshu Zhu, Hui Xiong
2025	J	`jnl`	Application-Driven Value Alignment in Agentic AI Systems: Survey and Perspectives. CoRR Wei Zeng, Hengshu Zhu, Chuan Qin, Han Wu, Yihang Cheng, Sirui Zhang, Xiaowei Jin, Yinuo Shen, Zhenxing Wang, Feimin Zhong, Hui Xiong
2025	J	`jnl`	CARL: Unsupervised Code-Based Adversarial Attacks for Programming Language Models via Reinforcement Learning. ACM Trans. Softw. Eng. Methodol. Kaichun Yao, Hao Wang, Chuan Qin, Hengshu Zhu, Yanjun Wu, Libo Zhang
2025	J	`jnl`	COTR: Efficient Job Task Recognition for Occupational Information Systems with Class-Incremental Learning. ACM Trans. Manag. Inf. Syst. Chuan Qin, Chuyu Fang, Kaichun Yao, Xi Chen, Fuzhen Zhuang, Hengshu Zhu
2025	J	`jnl`	Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models. CoRR Yongwen Ren, Chao Wang, Peng Du, Chuan Qin, Dazhong Shen, Hui Xiong
2025	A	`conf`	Enhancing Dual-Target Cross-Domain Recommendation via Similar User Bridging. CIKM Qi Zhou, Xi Chen, Chuyu Fang, Jianji Wang, Chuan Qin, Fuzhen Zhuang
2025	J	`jnl`	Enhancing job recommendations with LLM-based resume completion: A behavior-denoised alignment approach. Inf. Process. Manag. Chen Zhu, Xiao Hu, Han Wu, Chuan Qin, Hengshu Zhu, Hui Xiong
2025	J	`jnl`	FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens. CoRR Chao Wang, Yixin Song, Jinhui Ye, Chuan Qin, Dazhong Shen, Lingfeng Liu, Xiang Wang, Yanyong Zhang
2025	—	`conf`	From Missteps to Mastery: Enhancing Low-Resource Dense Retrieval through Adaptive Query Generation. KDD (1) Zhenyu Tong, Chuan Qin, Chuyu Fang, Kaichun Yao, Xi Chen, Jingshuai Zhang, Chen Zhu, Hengshu Zhu
2025	J	`jnl`	GenKI: Enhancing Open-Domain Question Answering with Knowledge Integration and Controllable Generation in Large Language Models. CoRR Tingjia Shen, Hao Wang, Chuan Qin, Ruijun Sun, Yang Song, Defu Lian, Hengshu Zhu, Enhong Chen
2025	J	`jnl`	Handling Over-Smoothing and Over-Squashing in Graph Convolution With Maximization Operation. IEEE Trans. Neural Networks Learn. Syst. Dazhong Shen, Chuan Qin, Qi Zhang, Hengshu Zhu, Hui Xiong
2025	J	`jnl`	Joint Ability Assessment for Talent Recruitment: A Neural Cognitive Diagnosis Approach. ACM Trans. Manag. Inf. Syst. Haiping Ma, Manwei Li, Chuan Qin, Dazhong Shen, Hengshu Zhu, Xingyi Zhang, Hui Xiong
2025	—	`conf`	Rethinking Learner Modeling: A Feedback-Centric Cognitive Disentanglement Perspective. KDD (2) Xiaoshan Yu, Shangshang Yang, Jian Li, Ziwen Wang, Chuan Qin, Haiping Ma, Xingyi Zhang
2025	—	`conf`	SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models. KDD (2) Chuan Qin, Xin Chen, Chengrui Wang, Pengmin Wu, Xi Chen, Yihang Cheng, Jingyi Zhao, Meng Xiao, Xiangchao Dong, Qingqing Long, Boya Pan, Han Wu, Chengzan Li, Yuanchun Zhou, Hui Xiong, Hengshu Zhu
2025	J	`jnl`	SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models. CoRR Chuan Qin, Xin Chen, Chengrui Wang, Pengmin Wu, Xi Chen, Yihang Cheng, Jingyi Zhao, Meng Xiao, Xiangchao Dong, Qingqing Long, Boya Pan, Han Wu, Chengzan Li, Yuanchun Zhou, Hui Xiong, Hengshu Zhu
2024	J	`jnl`	A survey on large language models for recommendation. World Wide Web (WWW) Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen
2024	A*	`conf`	AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations. SIGIR Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong
2024	J	`jnl`	AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations. CoRR Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong
2024	A*	`conf`	Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning. KDD Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, Hengshu Zhu
2024	J	`jnl`	Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning. CoRR Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, Hengshu Zhu
2024	J	`jnl`	Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews. ACM Trans. Inf. Syst. Chuan Qin, Hengshu Zhu, Dazhong Shen, Ying Sun, Kaichun Yao, Peng Wang, Hui Xiong
2024	J	`jnl`	Career Mobility Analysis With Uncertainty-Aware Graph Autoencoders: A Job Title Transition Perspective. IEEE Trans. Comput. Soc. Syst. Rui Zha, Chuan Qin, Le Zhang, Dazhong Shen, Tong Xu, Hengshu Zhu, Enhong Chen
2024	A*	`conf`	Collaboration-Aware Hybrid Learning for Knowledge Development Prediction. WWW Liyi Chen, Chuan Qin, Ying Sun, Xin Song, Tong Xu, Hengshu Zhu, Hui Xiong
2024	A*	`conf`	DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis. IJCAI Haiping Ma, Siyu Song, Chuan Qin, Xiaoshan Yu, Limiao Zhang, Xingyi Zhang, Hengshu Zhu
2024	A*	`conf`	DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation. ICDM Xiaoshan Yu, Chuan Qin, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, Hengshu Zhu
2024	J	`jnl`	DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation. CoRR Xiaoshan Yu, Chuan Qin, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, Hengshu Zhu
2024	—	`conf`	Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models. DASFAA (4) Feihu Jiang, Chuan Qin, Kaichun Yao, Chuyu Fang, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
2024	J	`jnl`	Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models. CoRR Feihu Jiang, Chuan Qin, Kaichun Yao, Chuyu Fang, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
2024	A*	`conf`	HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection. WWW Haiping Ma, Yong Yang, Chuan Qin, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang, Hengshu Zhu
2024	A*	`conf`	Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking. NeurIPS Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
2024	J	`jnl`	Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking. CoRR Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
2024	A*	`conf`	Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting. IJCAI Xi Chen, Chuan Qin, Zhigaoyuan Wang, Yihang Cheng, Chao Wang, Hengshu Zhu, Hui Xiong
2024	J	`jnl`	RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer. IEEE Trans. Knowl. Data Eng. Xiaoshan Yu, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu, Hui Xiong
2024	A*	`conf`	RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes. KDD Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang
2024	J	`jnl`	RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes. CoRR Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang
2024	J	`jnl`	ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness. CoRR Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu
2024	J	`jnl`	SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System. ACM Trans. Inf. Syst. Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Enhong Chen, Hui Xiong
2024	—	`conf`	Super-Node Generation for GNN-Based Recommender Systems: Enhancing Distant Node Integration via Graph Coarsening. DASFAA (6) Shasha Hu, Chao Wang, Chuan Qin, Hengshu Zhu, Hui Xiong
2024	J	`jnl`	Towards Constraint-aware Learning for Resource Allocation in NFV-enabled Networks. CoRR Tianfu Wang, Long Yang, Chao Wang, Chuan Qin, Liwei Deng, Li Shen, Hui Xiong
2024	A	`conf`	Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach. ICME Feihu Jiang, Chuan Qin, Jingshuai Zhang, Kaichun Yao, Xi Chen, Dazhong Shen, Chen Zhu, Hengshu Zhu, Hui Xiong
2024	J	`jnl`	Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach. CoRR Feihu Jiang, Chuan Qin, Jingshuai Zhang, Kaichun Yao, Xi Chen, Dazhong Shen, Chen Zhu, Hengshu Zhu, Hui Xiong
2024	J	`jnl`	Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph. ACM Trans. Inf. Syst. Rui Zha, Ying Sun, Chuan Qin, Le Zhang, Tong Xu, Hengshu Zhu, Enhong Chen
2023	J	`jnl`	A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics. CoRR Chuan Qin, Le Zhang, Rui Zha, Dazhong Shen, Qi Zhang, Ying Sun, Chen Zhu, Hengshu Zhu, Hui Xiong
2023	A*	`conf`	A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract. ICDE Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He
2023	J	`jnl`	A Survey on Large Language Models for Recommendation. CoRR Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen
2023	J	`jnl`	A novel computerized adaptive testing framework with decoupled learning selector. Complex Intell. Syst. Haiping Ma, Yi Zeng, Shangshang Yang, Chuan Qin, Xingyi Zhang, Limiao Zhang
2023	A	`conf`	Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective. CIKM Shuhuan Liu, Xiaoshan Yu, Haiping Ma, Ziwen Wang, Chuan Qin, Xingyi Zhang
2023	—	`conf`	Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction. KSEM (2) Siyuan Hao, Le Dai, Le Zhang, Shengming Zhang, Chao Wang, Chuan Qin, Hui Xiong
2023	A*	`conf`	RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment. KDD Chuyu Fang, Chuan Qin, Qi Zhang, Kaichun Yao, Jingshuai Zhang, Hengshu Zhu, Fuzhen Zhuang, Hui Xiong
2023	A*	`conf`	ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness. ICDM Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu
2023	A*	`conf`	ResuFormer: Semantic Structure Understanding for Resumes via Multi-Modal Pre-training. ICDE Kaichun Yao, Jingshuai Zhang, Chuan Qin, Xin Song, Peng Wang, Hengshu Zhu, Hui Xiong
2023	J	`jnl`	Towards Automatic Job Description Generation With Capability-Aware Neural Networks. IEEE Trans. Knowl. Data Eng. Chuan Qin, Kaichun Yao, Hengshu Zhu, Tong Xu, Dazhong Shen, Enhong Chen, Hui Xiong
2022	J	`jnl`	A Survey on Knowledge Graph-Based Recommender Systems. IEEE Trans. Knowl. Data Eng. Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He
2022	J	`jnl`	Complex Attributed Network Embedding for medical complication prediction. Knowl. Inf. Syst. Zhe Zhang, Hui Xiong, Tong Xu, Chuan Qin, Le Zhang, Enhong Chen
2022	A*	`conf`	Decomposing Complementary and Substitutable Relations for Intercorporate Investment Recommendation. ICDM Le Dai, Yu Yin, Chuan Qin, Enhong Chen, Hui Xiong
2022	J	`jnl`	Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment. ACM Trans. Inf. Syst. Dazhong Shen, Chuan Qin, Hengshu Zhu, Tong Xu, Enhong Chen, Hui Xiong
2022	A*	`conf`	Knowledge Enhanced Person-Job Fit for Talent Recruitment. ICDE Kaichun Yao, Jingshuai Zhang, Chuan Qin, Peng Wang, Hengshu Zhu, Hui Xiong
2021	B	`conf`	A Trend-aware Investment Target Recommendation System with Heterogeneous Graph. IJCNN Miao Chen, Chao Wang, Chuan Qin, Tong Xu, Jianhui Ma, Enhong Chen, Hui Xiong
2021	J	`jnl`	Adam revisited: a weighted past gradients perspective. CoRR Hui Zhong, Zaiyi Chen, Chuan Qin, Zai Huang, Vincent W. Zheng, Tong Xu, Enhong Chen
2021	A	`conf`	An Interactive Neural Network Approach to Keyphrase Extraction in Talent Recruitment. CIKM Kaichun Yao, Chuan Qin, Hengshu Zhu, Chao Ma, Jingshuai Zhang, Yi Du, Hui Xiong
2021	A*	`conf`	Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation. NeurIPS Ying Sun, Hengshu Zhu, Chuan Qin, Fuzhen Zhuang, Qing He, Hui Xiong
2021	—	`conf`	Embedding Fairness into the AI-Based Talent Recruitment Systems：The Perspective of Environment Cycle and Knowledge Cycle. PACIS Yuqing Zhao, Xi Zhang, Xinlin Tang, Chuan Qin, Hengshu Zhu
2021	A*	`conf`	Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. IJCAI Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong
2021	J	`jnl`	Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. CoRR Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong
2021	A*	`conf`	Topic Modeling Revisited: A Document Graph-based Neural Network Perspective. NeurIPS Dazhong Shen, Chuan Qin, Chao Wang, Zheng Dong, Hengshu Zhu, Hui Xiong
2020	J	`jnl`	A Survey on Knowledge Graph-Based Recommender Systems. CoRR Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He
2020	J	`jnl`	Adam revisited: a weighted past gradients perspective. Frontiers Comput. Sci. Hui Zhong, Zaiyi Chen, Chuan Qin, Zai Huang, Vincent W. Zheng, Tong Xu, Enhong Chen
2020	J	`jnl`	An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment. ACM Trans. Inf. Syst. Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Chao Ma, Enhong Chen, Hui Xiong
2020	A*	`conf`	Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network. KDD Le Dai, Yu Yin, Chuan Qin, Tong Xu, Xiangnan He, Enhong Chen, Hui Xiong
2020	A*	`conf`	Large-Scale Talent Flow Embedding for Company Competitive Analysis. WWW Le Zhang, Tong Xu, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong, Enhong Chen
2020	A*	`conf`	SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback. AAAI Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong
2020	J	`jnl`	SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback. CoRR Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong
2019	A*	`conf`	DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview. KDD Chuan Qin, Hengshu Zhu, Chen Zhu, Tong Xu, Fuzhen Zhuang, Chao Ma, Jingshuai Zhang, Hui Xiong
2019	A*	`conf`	Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model? WWW Le Zhang, Hengshu Zhu, Tong Xu, Chen Zhu, Chuan Qin, Hui Xiong, Enhong Chen
2018	A*	`conf`	Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach. SIGIR Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong
2018	J	`jnl`	Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach. CoRR Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong
2018	A*	`conf`	Exploiting Topic-Based Adversarial Neural Network for Cross-Domain Keyphrase Extraction. ICDM Yanan Wang, Qi Liu, Chuan Qin, Tong Xu, Yijun Wang, Enhong Chen, Hui Xiong
2018	A*	`conf`	How Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory Networks. AAAI Linli Xu, Liang Jiang, Chuan Qin, Zhe Wang, Dongfang Du
2018	J	`jnl`	How Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory Networks. CoRR Linli Xu, Liang Jiang, Chuan Qin, Zhe Wang, Dongfang Du
2018	A*	`conf`	XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music. KDD Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Chuan Qin, Jiawei Li, Kun Zhang, Guang Zhou, Furu Wei, Yuanchun Xu, Enhong Chen
2017	A*	`conf`	App Download Forecasting: An Evolutionary Hierarchical Competition Approach. IJCAI Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Chuan Qin, Xing Xie