Xiting Wang

According to our database, Xiting Wang authored at least 66 papers between 2013 and 2024.

Collaborative distances:

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

2024

Put Your Voice on Stage: Personalized Headline Generation for News Articles.

Xiang Ao, Ling Luo, Xiting Wang, Zhao Yang, Jiun-Hung Chen, Ying Qiao, Qing He, Xing Xie

ACM Trans. Knowl. Discov. Data, April, 2024

Aerosol Vertical Structure and Optical Properties during Two Dust and Haze Episodes in a Typical Valley Basin City, Lanzhou of Northwest China.

Junyang Ma, Jianrong Bi, Bowen Li, Di Zhu, Xiting Wang, Zhaozhao Meng, Jinsen Shi

Remote. Sens., March, 2024

Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models.

Changyu Chen, Xiting Wang, Ting-En Lin, Ang Lv, Yuchuan Wu, Xin Gao, Ji-Rong Wen, Rui Yan, Yongbin Li

CoRR, 2024

2023

Reinforcement Routing on Proximity Graph for Efficient Recommendation.

Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen

ACM Trans. Inf. Syst., January, 2023

Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations.

Jing Yao, Wei Xu, Jianxun Lian, Xiting Wang, Xiaoyuan Yi, Xing Xie

CoRR, 2023

Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Values.

Jing Yao, Xiaoyuan Yi, Xiting Wang, Yifan Gong, Xing Xie

CoRR, 2023

Unpacking the Ethical Value Alignment in Big Models.

Xiaoyuan Yi, Jing Yao, Xiting Wang, Xing Xie

CoRR, 2023

Evaluating General-Purpose AI with Psychometrics.

Xiting Wang, Liming Jiang, José Hernández-Orallo, Luning Sun, David Stillwell, Fang Luo, Xing Xie

CoRR, 2023

From Instructions to Intrinsic Human Values - A Survey of Alignment Goals for Big Models.

Jing Yao, Xiaoyuan Yi, Xiting Wang, Jindong Wang, Xing Xie

CoRR, 2023

MantaID: a machine learning-based tool to automate the identification of biological database IDs.

Zhengpeng Zeng, Jiamin Hu, Miyuan Cao, Bingbing Li, Xiting Wang, Feng Yu, Longfei Mao

Database J. Biol. Databases Curation, 2023

Towards Explainable Collaborative Filtering with Taste Clusters Learning.

Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie

Proceedings of the ACM Web Conference 2023, 2023

DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision.

Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha

Proceedings of the ACM Web Conference 2023, 2023

A Causality Inspired Framework for Model Interpretation.

Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Semi-Offline Reinforcement Learning for Optimized Text Generation.

Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jie Cao, Yi Liu, Rui Yan

Proceedings of the International Conference on Machine Learning, 2023

DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation.

Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks V. S. Lakshmanan, Xing Xie

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes.

Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie

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

2022

A Unified Understanding of Deep NLP Models for Text Classification.

Zhen Li, Xiting Wang, Weikai Yang, Jing Wu, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun, Hui Zhang, Shixia Liu

IEEE Trans. Vis. Comput. Graph., 2022

Machine-learning-assisted discovery of highly efficient high-entropy alloy catalysts for the oxygen reduction reaction.

Xuhao Wan, Zhaofu Zhang, Wei Yu, Huan Niu, Xiting Wang, Yuzheng Guo

Patterns, 2022

Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning.

Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

ProFairRec: Provider Fairness-aware News Recommendation.

Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Self-explaining deep models with logic rule reasoning.

Seungeon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reinforcement Subgraph Reasoning for Fake News Detection.

Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora.

Changyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie, Rui Yan

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Clickbait Detection via Contrastive Variational Modelling of Text and Label.

Xiaoyuan Yi, Jiarui Zhang, Wenhao Li, Xiting Wang, Xing Xie

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

Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization.

Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu

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

Aero-Engine Remaining Useful Life Prediction via Tensor Decomposition Method.

Jincen Jiang, Xiting Wang, Zhongzhi Hu

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Towards Fine-Grained Reasoning for Fake News Detection.

Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Interactive Steering of Hierarchical Clustering.

Weikai Yang, Xiting Wang, Jie Lu, Wenwen Dou, Shixia Liu

IEEE Trans. Vis. Comput. Graph., 2021

Interactive Graph Construction for Graph-Based Semi-Supervised Learning.

Changjian Chen, Zhaowei Wang, Jing Wu, Xiting Wang, Lan-Zhe Guo, Yu-Feng Li, Shixia Liu

IEEE Trans. Vis. Comput. Graph., 2021

Learning Fair Representations for Bipartite Graph based Recommendation.

Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang

CoRR, 2021

Deep fusion learning facilitates anatomical therapeutic chemical recognition in drug repurposing and discovery.

Xiting Wang, Meng Liu, Yiling Zhang, Shuangshuang He, Caimeng Qin, Yu Li, Tao Lu

Briefings Bioinform., 2021

Learning Fair Representations for Recommendation: A Graph-based Perspective.

Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Reinforcing Pretrained Models for Generating Attractive Text Advertisements.

Xiting Wang, Xinwei Gu, Jie Cao, Zihua Zhao, Yulan Yan, Bhuvan Middha, Xing Xie

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning.

Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning Groupwise Explanations for Black-Box Models.

Jingyue Gao, Xiting Wang, Yasha Wang, Yulan Yan, Xing Xie

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network.

Chi Xu, Hao Feng, Guoxin Yu, Min Yang, Xiting Wang, Yan Song, Xiang Ao

Proceedings of the Database Systems for Advanced Applications, 2021

PENS: A Dataset and Generic Framework for Personalized News Headline Generation.

Xiang Ao, Xiting Wang, Ling Luo, Ying Qiao, Qing He, Xing Xie

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

Fairness-aware News Recommendation with Decomposed Adversarial Learning.

Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach.

Xiting Wang, Meng Liu, Lan Zhang, Yun Wang, Yu Li, Tao Lu

J. Chem. Inf. Model., 2020

Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs.

Kangzhi Zhao, Xiting Wang, Yuren Zhang, Li Zhao, Zheng Liu, Chunxiao Xing, Xing Xie

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Towards Explainable Conversational Recommendation.

Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Distance Metric Learning with Joint Representation Diversification.

Xu Chu, Yang Lin, Yasha Wang, Xiting Wang, Hailong Yu, Xin Gao, Qi Tong

Proceedings of the 37th International Conference on Machine Learning, 2020

Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation.

Jingyue Gao, Yang Lin, Yasha Wang, Xiting Wang, Zhao Yang, Yuanduo He, Xu Chu

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Bridging Text Visualization and Mining: A Task-Driven Survey.

Shixia Liu, Xiting Wang, Christopher Collins, Wenwen Dou, Fang-Xin Ou-Yang, Mennatallah El-Assady, Liu Jiang, Daniel A. Keim

IEEE Trans. Vis. Comput. Graph., 2019

A Neural Influence Diffusion Model for Social Recommendation.

Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Neural Response Generation with Relevant Emotions for Short Text Conversation.

Zhongxia Chen, Ruihua Song, Xing Xie, Jian-Yun Nie, Xiting Wang, Fuzheng Zhang, Enhong Chen

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Co-Attentive Multi-Task Learning for Explainable Recommendation.

Zhongxia Chen, Xiting Wang, Xing Xie, Tong Wu, Guoqing Bu, Yining Wang, Enhong Chen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Towards a Deep and Unified Understanding of Deep Neural Models in NLP.

Chaoyu Guan, Xiting Wang, Quanshi Zhang, Runjin Chen, Di He, Xing Xie

Proceedings of the 36th International Conference on Machine Learning, 2019

CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare.

Jingyue Gao, Xiting Wang, Yasha Wang, Zhao Yang, Junyi Gao, Jiangtao Wang, Wen Tang, Xing Xie

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints.

Jingyue Gao, Yuanduo He, Yasha Wang, Xiting Wang, Jiangtao Wang, Guangju Peng, Xu Chu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Explainable Recommendation through Attentive Multi-View Learning.

Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie

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

2018

Visual Diagnosis of Tree Boosting Methods.

Shixia Liu, Jiannan Xiao, Junlin Liu, Xiting Wang, Jing Wu, Jun Zhu

IEEE Trans. Vis. Comput. Graph., 2018

PhotoRecomposer: Interactive Photo Recomposition by Cropping.

Yuan Liang, Xiting Wang, Song-Hai Zhang, Shi-Min Hu, Shixia Liu

IEEE Trans. Vis. Comput. Graph., 2018

SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation.

Le Wu, Peijie Sun, Richang Hong, Yanjie Fu, Xiting Wang, Meng Wang

CoRR, 2018

A Reinforcement Learning Framework for Explainable Recommendation.

Xiting Wang, Yiru Chen, Jie Yang, Le Wu, Zhengtao Wu, Xing Xie

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Towards better analysis of machine learning models: A visual analytics perspective.

Shixia Liu, Xiting Wang, Mengchen Liu, Jun Zhu

Vis. Informatics, 2017

Improving Learning-from-Crowds through Expert Validation.

Mengchen Liu, Liu Jiang, Junlin Liu, Xiting Wang, Jun Zhu, Shixia Liu

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

2016

TopicPanorama: A Full Picture of Relevant Topics.

Xiting Wang, Shixia Liu, Junlin Liu, Jianfei Chen, Jun Zhu, Baining Guo

IEEE Trans. Vis. Comput. Graph., 2016

Online Visual Analytics of Text Streams.

Shixia Liu, Jialun Yin, Xiting Wang, Weiwei Cui, Kelei Cao, Jian Pei

IEEE Trans. Vis. Comput. Graph., 2016

Molecular dynamics simulations reveal the allosteric effect of F1174C resistance mutation to ceritinib in ALK-associated lung cancer.

Zhong Ni, Xiting Wang, Tianchen Zhang, Rongzhong Jin

Comput. Biol. Chem., 2016

How ideas flow across multiple social groups.

Xiting Wang, Shixia Liu, Yang Chen, Tai-Quan Peng, Jing Su, Jing Yang, Baining Guo

Proceedings of the 11th IEEE Conference on Visual Analytics Science and Technology, 2016

Tracking Idea Flows between Social Groups.

Yangxin Zhong, Shixia Liu, Xiting Wang, Jiannan Xiao, Yangqiu Song

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Evolutionary Bayesian Rose Trees.

Shixia Liu, Xiting Wang, Yangqiu Song, Baining Guo

IEEE Trans. Knowl. Data Eng., 2015

2014

TopicPanorama: A full picture of relevant topics.

Shixia Liu, Xiting Wang, Jianfei Chen, Jim Zhu, Baining Guo

Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

Let It Flow: A Static Method for Exploring Dynamic Graphs.

Weiwei Cui, Xiting Wang, Shixia Liu, Nathalie Henry Riche, Tara M. Madhyastha, Kwan-Liu Ma, Baining Guo

Proceedings of the IEEE Pacific Visualization Symposium, 2014

2013

Mining evolutionary multi-branch trees from text streams.

Xiting Wang, Shixia Liu, Yangqiu Song, Baining Guo

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013