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2020 – today
- 2024
[j18]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): 929 (2024)- [j17]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): 54:1-54:20 (2024) - [c46]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: 1678-1706 - [c45]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: 5872-5900 - [c44]Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu:
Prototypical Reward Network for Data-Efficient Model Alignment. ACL (1) 2024: 13871-13884 - [c43]Hanyu Zhang, Xiting Wang, Xiang Ao, Qing He:
Distillation with Explanations from Large Language Models. LREC/COLING 2024: 5018-5028 - [c42]Qian Cao, Xu Chen, Ruihua Song, Xiting Wang, Xinting Huang, Yuchen Ren:
See or Guess: Counterfactually Regularized Image Captioning. ACM Multimedia 2024: 965-974 - [c41]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: 8762-8785 - [i31]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 abs/2403.02178 (2024) - [i30]Zhihao Xu, Ruixuan Huang, Xiting Wang, Fangzhao Wu, Jing Yao, Xing Xie:
Uncovering Safety Risks in Open-source LLMs through Concept Activation Vector. CoRR abs/2404.12038 (2024) - [i29]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 abs/2404.18533 (2024) - [i28]Jinghan Zhang, Xiting Wang, Weijieying Ren, Lu Jiang, Dongjie Wang, Kunpeng Liu:
RATT: A Thought Structure for Coherent and Correct LLM Reasoning. CoRR abs/2406.02746 (2024) - [i27]Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu:
Prototypical Reward Network for Data-Efficient RLHF. CoRR abs/2406.06606 (2024) - [i26]Qian Cao, Xu Chen, Ruihua Song, Xiting Wang, Xinting Huang, Yuchen Ren:
See or Guess: Counterfactually Regularized Image Captioning. CoRR abs/2408.16809 (2024) - [i25]Kaisi Guan, Qian Cao, Yuchong Sun, Xiting Wang, Ruihua Song:
BSharedRAG: Backbone Shared Retrieval-Augmented Generation for the E-commerce Domain. CoRR abs/2409.20075 (2024) - 2023
- [j16]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) - [j15]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): 8:1-8:27 (2023) - [c40]Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie:
Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes. AAAI 2023: 12968-12976 - [c39]Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks V. S. Lakshmanan, Xing Xie:
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation. ACL (1) 2023: 8760-8785 - [c38]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: 5087-5103 - [c37]Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen:
A Causality Inspired Framework for Model Interpretation. KDD 2023: 2731-2741 - [c36]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: 3712-3722 - [c35]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: 3766-3774 - [i24]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 abs/2303.08403 (2023) - [i23]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 abs/2304.13937 (2023) - [i22]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 abs/2306.09712 (2023) - [i21]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 abs/2308.12014 (2023) - [i20]Xiting Wang, Liming Jiang, José Hernández-Orallo, Luning Sun, David Stillwell, Fang Luo, Xing Xie:
Evaluating General-Purpose AI with Psychometrics. CoRR abs/2310.16379 (2023) - [i19]Xiaoyuan Yi, Jing Yao, Xiting Wang, Xing Xie:
Unpacking the Ethical Value Alignment in Big Models. CoRR abs/2310.17551 (2023) - [i18]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 abs/2311.10766 (2023) - [i17]Jing Yao, Wei Xu, Jianxun Lian, Xiting Wang, Xiaoyuan Yi, Xing Xie:
Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations. CoRR abs/2311.10779 (2023) - 2022
- [j14]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): 100553 (2022) - [j13]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): 4980-4994 (2022) - [c34]Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie:
Towards Fine-Grained Reasoning for Fake News Detection. AAAI 2022: 5746-5754 - [c33]Jincen Jiang, Xiting Wang, Zhongzhi Hu:
Aero-Engine Remaining Useful Life Prediction via Tensor Decomposition Method. CICAI (2) 2022: 508-519 - [c32]Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu:
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. EMNLP (Findings) 2022: 2939-2951 - [c31]Xiaoyuan Yi, Jiarui Zhang, Wenhao Li, Xiting Wang, Xing Xie:
Clickbait Detection via Contrastive Variational Modelling of Text and Label. IJCAI 2022: 4475-4481 - [c30]Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie:
Reinforcement Subgraph Reasoning for Fake News Detection. KDD 2022: 2253-2262 - [c29]Changyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie, Rui Yan:
Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora. KDD 2022: 2721-2731 - [c28]Seungeon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha:
Self-explaining deep models with logic rule reasoning. NeurIPS 2022 - [c27]Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
ProFairRec: Provider Fairness-aware News Recommendation. SIGIR 2022: 1164-1173 - [c26]Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie:
Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning. WWW 2022: 2098-2108 - [i16]Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen:
Reinforcement Routing on Proximity Graph for Efficient Recommendation. CoRR abs/2201.09290 (2022) - [i15]Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
ProFairRec: Provider Fairness-aware News Recommendation. CoRR abs/2204.04724 (2022) - [i14]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 abs/2206.09355 (2022) - [i13]SeungEon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha:
Self-explaining deep models with logic rule reasoning. CoRR abs/2210.07024 (2022) - [i12]Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie:
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes. CoRR abs/2211.13638 (2022) - [i11]Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks V. S. Lakshmanan, Xing Xie:
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation. CoRR abs/2212.08724 (2022) - [i10]Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu:
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. CoRR abs/2212.10843 (2022) - 2021
- [j12]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) - [j11]Changjian Chen, Zhaowei Wang, Jing Wu, Xiting Wang, Lan-Zhe Guo, Yufeng Li, Shixia Liu:
Interactive Graph Construction for Graph-Based Semi-Supervised Learning. IEEE Trans. Vis. Comput. Graph. 27(9): 3701-3716 (2021) - [j10]Weikai Yang, Xiting Wang, Jie Lu, Wenwen Dou, Shixia Liu:
Interactive Steering of Hierarchical Clustering. IEEE Trans. Vis. Comput. Graph. 27(10): 3953-3967 (2021) - [c25]Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
Fairness-aware News Recommendation with Decomposed Adversarial Learning. AAAI 2021: 4462-4469 - [c24]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: 82-92 - [c23]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: 120-135 - [c22]Jingyue Gao, Xiting Wang, Yasha Wang, Yulan Yan, Xing Xie:
Learning Groupwise Explanations for Black-Box Models. IJCAI 2021: 2396-2402 - [c21]Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie:
Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning. KDD 2021: 1055-1065 - [c20]Xiting Wang, Xinwei Gu, Jie Cao, Zihua Zhao, Yulan Yan, Bhuvan Middha, Xing Xie:
Reinforcing Pretrained Models for Generating Attractive Text Advertisements. KDD 2021: 3697-3707 - [c19]Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang:
Learning Fair Representations for Recommendation: A Graph-based Perspective. WWW 2021: 2198-2208 - [i9]Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang:
Learning Fair Representations for Bipartite Graph based Recommendation. CoRR abs/2102.09140 (2021) - [i8]Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie:
Towards Fine-Grained Reasoning for Fake News Detection. CoRR abs/2110.15064 (2021) - 2020
- [j9]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): 4603-4613 (2020) - [c18]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: 395-404 - [c17]Xu Chu, Yang Lin, Yasha Wang, Xiting Wang, Hailong Yu, Xin Gao, Qi Tong:
Distance Metric Learning with Joint Representation Diversification. ICML 2020: 1962-1973 - [c16]Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen:
Towards Explainable Conversational Recommendation. IJCAI 2020: 2994-3000 - [c15]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: 239-248 - [i7]Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
Fairness-aware News Recommendation with Decomposed Adversarial Learning. CoRR abs/2006.16742 (2020) - [i6]Weikai Yang, Xiting Wang, Jie Lu, Wenwen Dou, Shixia Liu:
Interactive Steering of Hierarchical Clustering. CoRR abs/2009.09618 (2020)
2010 – 2019
- 2019
- [j8]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): 2482-2504 (2019) - [c14]Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie:
Explainable Recommendation through Attentive Multi-View Learning. AAAI 2019: 3622-3629 - [c13]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: 1903-1912 - [c12]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: 1036-1041 - [c11]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: 2454-2463 - [c10]Zhongxia Chen, Xiting Wang, Xing Xie, Tong Wu, Guoqing Bu, Yining Wang, Enhong Chen:
Co-Attentive Multi-Task Learning for Explainable Recommendation. IJCAI 2019: 2137-2143 - [c9]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: 117-129 - [c8]Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang:
A Neural Influence Diffusion Model for Social Recommendation. SIGIR 2019: 235-244 - [i5]Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang:
A Neural Influence Diffusion Model for Social Recommendation. CoRR abs/1904.10322 (2019) - 2018
- [j7]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): 163-173 (2018) - [j6]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): 2728-2742 (2018) - [c7]Xiting Wang, Yiru Chen, Jie Yang, Le Wu, Zhengtao Wu, Xing Xie:
A Reinforcement Learning Framework for Explainable Recommendation. ICDM 2018: 587-596 - [i4]Le Wu, Peijie Sun, Richang Hong, Yanjie Fu, Xiting Wang, Meng Wang:
SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation. CoRR abs/1811.02815 (2018) - 2017
- [j5]Shixia Liu, Xiting Wang, Mengchen Liu, Jun Zhu:
Towards better analysis of machine learning models: A visual analytics perspective. Vis. Informatics 1(1): 48-56 (2017) - [c6]Mengchen Liu, Liu Jiang, Junlin Liu, Xiting Wang, Jun Zhu, Shixia Liu:
Improving Learning-from-Crowds through Expert Validation. IJCAI 2017: 2329-2336 - [i3]Shixia Liu, Xiting Wang, Mengchen Liu, Jun Zhu:
Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective. CoRR abs/1702.01226 (2017) - 2016
- [j4]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: 54-60 (2016) - [j3]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): 2451-2466 (2016) - [j2]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): 2508-2521 (2016) - [c5]Yangxin Zhong, Shixia Liu, Xiting Wang, Jiannan Xiao, Yangqiu Song:
Tracking Idea Flows between Social Groups. AAAI 2016: 1436-1443 - [c4]Xiting Wang, Shixia Liu, Yang Chen, Tai-Quan Peng, Jing Su, Jing Yang, Baining Guo:
How ideas flow across multiple social groups. VAST 2016: 51-60 - 2015
- [j1]Shixia Liu, Xiting Wang, Yangqiu Song, Baining Guo:
Evolutionary Bayesian Rose Trees. IEEE Trans. Knowl. Data Eng. 27(6): 1533-1546 (2015) - [i2]Yangxin Zhong, Shixia Liu, Xiting Wang, Jiannan Xiao, Yangqiu Song:
Tracking Idea Flows between Social Groups. CoRR abs/1512.04036 (2015) - [i1]Shixia Liu, Jialun Yin, Xiting Wang, Weiwei Cui, Kelei Cao, Jian Pei:
Online Visual Analytics of Text Streams. CoRR abs/1512.04042 (2015) - 2014
- [c3]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: 121-128 - [c2]Shixia Liu, Xiting Wang, Jianfei Chen, Jim Zhu, Baining Guo:
TopicPanorama: A full picture of relevant topics. IEEE VAST 2014: 183-192 - 2013
- [c1]Xiting Wang, Shixia Liu, Yangqiu Song, Baining Guo:
Mining evolutionary multi-branch trees from text streams. KDD 2013: 722-730
Coauthor Index
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