Xiting Wang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 88

Top Topics

Molecular Dynamics Simulations

News Recommendation

Reinforcement Learning

Top Venues

IEEE Trans. Vis. Comput. Graph.

Publications

Jinghan Zhang, Xiting Wang, Weijieying Ren, Lu Jiang, Dongjie Wang, Kunpeng Liu
RATT: A Thought Structure for Coherent and Correct LLM Reasoning. CoRR (2024)
Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu
Prototypical Reward Network for Data-Efficient RLHF. CoRR (2024)
Changyu Chen, Xiting Wang, Ting-En Lin, Ang Lv, Yuchuan Wu, Xin Gao, Ji-Rong Wen, Rui Yan, Yongbin Li
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models. ACL (1) (2024)
Junyang Ma, Jianrong Bi, Bowen Li, Di Zhu, Xiting Wang, Zhaozhao Meng, Jinsen Shi
Aerosol Vertical Structure and Optical Properties during Two Dust and Haze Episodes in a Typical Valley Basin City, Lanzhou of Northwest China. Remote. Sens. 16 (5) (2024)
Jing Yao, Xiaoyuan Yi, Yifan Gong, Xiting Wang, Xing Xie
Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Value. NAACL-HLT (2024)
Chuhao Jin, Kening Ren, Lingzhen Kong, Xiting Wang, Ruihua Song, Huan Chen
Persuading across Diverse Domains: a Dataset and Persuasion Large Language Model. ACL (1) (2024)
Hanyu Zhang, Xiting Wang, Xiang Ao, Qing He
Distillation with Explanations from Large Language Models. LREC/COLING (2024)
Meng Li, Haoran Jin, Ruixuan Huang, Zhihao Xu, Defu Lian, Zijia Lin, Di Zhang, Xiting Wang
Evaluating Concept-based Explanations of Language Models: A Study on Faithfulness and Readability. CoRR (2024)
Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu
Prototypical Reward Network for Data-Efficient Model Alignment. ACL (1) (2024)
Xiang Ao, Ling Luo, Xiting Wang, Zhao Yang, Jiun-Hung Chen, Ying Qiao, Qing He, Xing Xie
Put Your Voice on Stage: Personalized Headline Generation for News Articles. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Zhihao Xu, Ruixuan Huang, Xiting Wang, Fangzhao Wu, Jing Yao, Xing Xie
Uncovering Safety Risks in Open-source LLMs through Concept Activation Vector. CoRR (2024)
Changyu Chen, Xiting Wang, Ting-En Lin, Ang Lv, Yuchuan Wu, Xin Gao, Ji-Rong Wen, Rui Yan, Yongbin Li
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models. CoRR (2024)
Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen
Reinforcement Routing on Proximity Graph for Efficient Recommendation. ACM Trans. Inf. Syst. 41 (1) (2023)
Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jie Cao, Yi Liu, Rui Yan
Semi-Offline Reinforcement Learning for Optimized Text Generation. CoRR (2023)
Jing Yao, Xiaoyuan Yi, Xiting Wang, Jindong Wang, Xing Xie
From Instructions to Intrinsic Human Values - A Survey of Alignment Goals for Big Models. CoRR (2023)
Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. CoRR (2023)
Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. WWW (2023)
Xiting Wang, Liming Jiang, José Hernández-Orallo, Luning Sun, David Stillwell, Fang Luo, Xing Xie
Evaluating General-Purpose AI with Psychometrics. CoRR (2023)
Xiaoyuan Yi, Jing Yao, Xiting Wang, Xing Xie
Unpacking the Ethical Value Alignment in Big Models. CoRR (2023)
Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen
A Causality Inspired Framework for Model Interpretation. KDD (2023)
Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
Towards Explainable Collaborative Filtering with Taste Clusters Learning. WWW (2023)
Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jie Cao, Yi Liu, Rui Yan
Semi-Offline Reinforcement Learning for Optimized Text Generation. ICML (2023)
Jing Yao, Xiaoyuan Yi, Xiting Wang, Yifan Gong, Xing Xie
Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Values. CoRR (2023)
Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie
Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes. AAAI (2023)
Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
Towards Explainable Collaborative Filtering with Taste Clusters Learning. CoRR (2023)
Zhengpeng Zeng, Jiamin Hu, Miyuan Cao, Bingbing Li, Xiting Wang, Feng Yu, Longfei Mao
MantaID: a machine learning-based tool to automate the identification of biological database IDs. Database J. Biol. Databases Curation 2023 (2023)
Jing Yao, Wei Xu, Jianxun Lian, Xiting Wang, Xiaoyuan Yi, Xing Xie
Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations. CoRR (2023)
Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie
Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning. WWW (2022)
Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie
ProFairRec: Provider Fairness-aware News Recommendation. SIGIR (2022)
Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks V. S. Lakshmanan, Xing Xie
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation. CoRR (2022)
Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie
ProFairRec: Provider Fairness-aware News Recommendation. CoRR (2022)
Seungeon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha
Self-explaining deep models with logic rule reasoning. NeurIPS (2022)
Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes. CoRR (2022)
Zhen Li, Xiting Wang, Weikai Yang, Jing Wu, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun, Hui Zhang, Shixia Liu
A Unified Understanding of Deep NLP Models for Text Classification. CoRR (2022)
Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. EMNLP (Findings) (2022)
Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie
Towards Fine-Grained Reasoning for Fake News Detection. AAAI (2022)
SeungEon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha
Self-explaining deep models with logic rule reasoning. CoRR (2022)
Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. CoRR (2022)
Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen
Reinforcement Routing on Proximity Graph for Efficient Recommendation. CoRR (2022)
Jincen Jiang, Xiting Wang, Zhongzhi Hu
Aero-Engine Remaining Useful Life Prediction via Tensor Decomposition Method. CICAI (2) (2022)
Changyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie, Rui Yan
Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora. KDD (2022)
Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie
Reinforcement Subgraph Reasoning for Fake News Detection. KDD (2022)
Xuhao Wan, Zhaofu Zhang, Wei Yu, Huan Niu, Xiting Wang, Yuzheng Guo
Machine-learning-assisted discovery of highly efficient high-entropy alloy catalysts for the oxygen reduction reaction. Patterns 3 (9) (2022)
Xiaoyuan Yi, Jiarui Zhang, Wenhao Li, Xiting Wang, Xing Xie
Clickbait Detection via Contrastive Variational Modelling of Text and Label. IJCAI (2022)
Zhen Li, Xiting Wang, Weikai Yang, Jing Wu, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun, Hui Zhang, Shixia Liu
A Unified Understanding of Deep NLP Models for Text Classification. IEEE Trans. Vis. Comput. Graph. 28 (12) (2022)
Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang
Learning Fair Representations for Bipartite Graph based Recommendation. CoRR (2021)
Xiting Wang, Xinwei Gu, Jie Cao, Zihua Zhao, Yulan Yan, Bhuvan Middha, Xing Xie
Reinforcing Pretrained Models for Generating Attractive Text Advertisements. KDD (2021)
Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie
Towards Fine-Grained Reasoning for Fake News Detection. CoRR (2021)
Jingyue Gao, Xiting Wang, Yasha Wang, Yulan Yan, Xing Xie
Learning Groupwise Explanations for Black-Box Models. IJCAI (2021)
Xiang Ao, Xiting Wang, Ling Luo, Ying Qiao, Qing He, Xing Xie
PENS: A Dataset and Generic Framework for Personalized News Headline Generation. ACL/IJCNLP (1) (2021)
Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie
Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning. KDD (2021)
Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie
Fairness-aware News Recommendation with Decomposed Adversarial Learning. AAAI (2021)
Changjian Chen, Zhaowei Wang, Jing Wu, Xiting Wang, Lan-Zhe Guo, Yu-Feng Li, Shixia Liu
Interactive Graph Construction for Graph-Based Semi-Supervised Learning. IEEE Trans. Vis. Comput. Graph. 27 (9) (2021)
Xiting Wang, Meng Liu, Yiling Zhang, Shuangshuang He, Caimeng Qin, Yu Li, Tao Lu
Deep fusion learning facilitates anatomical therapeutic chemical recognition in drug repurposing and discovery. Briefings Bioinform. 22 (6) (2021)
Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang
Learning Fair Representations for Recommendation: A Graph-based Perspective. WWW (2021)
Weikai Yang, Xiting Wang, Jie Lu, Wenwen Dou, Shixia Liu
Interactive Steering of Hierarchical Clustering. IEEE Trans. Vis. Comput. Graph. 27 (10) (2021)
Chi Xu, Hao Feng, Guoxin Yu, Min Yang, Xiting Wang, Yan Song, Xiang Ao
Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network. DASFAA (2) (2021)
Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie
Fairness-aware News Recommendation with Decomposed Adversarial Learning. CoRR (2020)
Xu Chu, Yang Lin, Yasha Wang, Xiting Wang, Hailong Yu, Xin Gao, Qi Tong
Distance Metric Learning with Joint Representation Diversification. ICML (2020)
Kangzhi Zhao, Xiting Wang, Yuren Zhang, Li Zhao, Zheng Liu, Chunxiao Xing, Xing Xie
Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs. SIGIR (2020)
Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen
Towards Explainable Conversational Recommendation. IJCAI (2020)
Jingyue Gao, Yang Lin, Yasha Wang, Xiting Wang, Zhao Yang, Yuanduo He, Xu Chu
Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation. CIKM (2020)
Xiting Wang, Meng Liu, Lan Zhang, Yun Wang, Yu Li, Tao Lu
Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach. J. Chem. Inf. Model. 60 (10) (2020)
Weikai Yang, Xiting Wang, Jie Lu, Wenwen Dou, Shixia Liu
Interactive Steering of Hierarchical Clustering. CoRR (2020)
Jingyue Gao, Yuanduo He, Yasha Wang, Xiting Wang, Jiangtao Wang, Guangju Peng, Xu Chu
STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints. CIKM (2019)
Shixia Liu, Xiting Wang, Christopher Collins, Wenwen Dou, Fang-Xin Ou-Yang, Mennatallah El-Assady, Liu Jiang, Daniel A. Keim
Bridging Text Visualization and Mining: A Task-Driven Survey. IEEE Trans. Vis. Comput. Graph. 25 (7) (2019)
Jingyue Gao, Xiting Wang, Yasha Wang, Zhao Yang, Junyi Gao, Jiangtao Wang, Wen Tang, Xing Xie
CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare. ICDM (2019)
Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang
A Neural Influence Diffusion Model for Social Recommendation. SIGIR (2019)
Chaoyu Guan, Xiting Wang, Quanshi Zhang, Runjin Chen, Di He, Xing Xie
Towards a Deep and Unified Understanding of Deep Neural Models in NLP. ICML (2019)
Zhongxia Chen, Xiting Wang, Xing Xie, Tong Wu, Guoqing Bu, Yining Wang, Enhong Chen
Co-Attentive Multi-Task Learning for Explainable Recommendation. IJCAI (2019)
Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang
A Neural Influence Diffusion Model for Social Recommendation. CoRR (2019)
Zhongxia Chen, Ruihua Song, Xing Xie, Jian-Yun Nie, Xiting Wang, Fuzheng Zhang, Enhong Chen
Neural Response Generation with Relevant Emotions for Short Text Conversation. NLPCC (1) (2019)
Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie
Explainable Recommendation through Attentive Multi-View Learning. AAAI (2019)
Shixia Liu, Jiannan Xiao, Junlin Liu, Xiting Wang, Jing Wu, Jun Zhu
Visual Diagnosis of Tree Boosting Methods. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Yuan Liang, Xiting Wang, Song-Hai Zhang, Shi-Min Hu, Shixia Liu
PhotoRecomposer: Interactive Photo Recomposition by Cropping. IEEE Trans. Vis. Comput. Graph. 24 (10) (2018)
Xiting Wang, Yiru Chen, Jie Yang, Le Wu, Zhengtao Wu, Xing Xie
A Reinforcement Learning Framework for Explainable Recommendation. ICDM (2018)
Le Wu, Peijie Sun, Richang Hong, Yanjie Fu, Xiting Wang, Meng Wang
SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation. CoRR (2018)
Shixia Liu, Xiting Wang, Mengchen Liu, Jun Zhu
Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective. CoRR (2017)
Mengchen Liu, Liu Jiang, Junlin Liu, Xiting Wang, Jun Zhu, Shixia Liu
Improving Learning-from-Crowds through Expert Validation. IJCAI (2017)
Shixia Liu, Xiting Wang, Mengchen Liu, Jun Zhu
Towards better analysis of machine learning models: A visual analytics perspective. Vis. Informatics 1 (1) (2017)
Xiting Wang, Shixia Liu, Junlin Liu, Jianfei Chen, Jun Zhu, Baining Guo
TopicPanorama: A Full Picture of Relevant Topics. IEEE Trans. Vis. Comput. Graph. 22 (12) (2016)
Shixia Liu, Jialun Yin, Xiting Wang, Weiwei Cui, Kelei Cao, Jian Pei
Online Visual Analytics of Text Streams. IEEE Trans. Vis. Comput. Graph. 22 (11) (2016)
Yangxin Zhong, Shixia Liu, Xiting Wang, Jiannan Xiao, Yangqiu Song
Tracking Idea Flows between Social Groups. AAAI (2016)
Xiting Wang, Shixia Liu, Yang Chen, Tai-Quan Peng, Jing Su, Jing Yang, Baining Guo
How ideas flow across multiple social groups. VAST (2016)
Zhong Ni, Xiting Wang, Tianchen Zhang, Rongzhong Jin
Molecular dynamics simulations reveal the allosteric effect of F1174C resistance mutation to ceritinib in ALK-associated lung cancer. Comput. Biol. Chem. 65 (2016)
Yangxin Zhong, Shixia Liu, Xiting Wang, Jiannan Xiao, Yangqiu Song
Tracking Idea Flows between Social Groups. CoRR (2015)
Shixia Liu, Jialun Yin, Xiting Wang, Weiwei Cui, Kelei Cao, Jian Pei
Online Visual Analytics of Text Streams. CoRR (2015)
Shixia Liu, Xiting Wang, Yangqiu Song, Baining Guo
Evolutionary Bayesian Rose Trees. IEEE Trans. Knowl. Data Eng. 27 (6) (2015)
Shixia Liu, Xiting Wang, Jianfei Chen, Jim Zhu, Baining Guo
TopicPanorama: A full picture of relevant topics. IEEE VAST (2014)
Weiwei Cui, Xiting Wang, Shixia Liu, Nathalie Henry Riche, Tara M. Madhyastha, Kwan-Liu Ma, Baining Guo
Let It Flow: A Static Method for Exploring Dynamic Graphs. PacificVis (2014)
Xiting Wang, Shixia Liu, Yangqiu Song, Baining Guo
Mining evolutionary multi-branch trees from text streams. KDD (2013)