2024

Uncovering Safety Risks of Large Language Models through Concept Activation Vector

Zhihao Xu, Ruixuan Huang, Changyu Chen, Xiting Wang

Neural Information Processing Systems (NeurIPS) 2024

https://arxiv.org/pdf/2404.12038

Evaluating Readability and Faithfulness of Concept-based Explanations

Meng Li, Haoran Jin, Ruixuan Huang, Zhihao Xu, Defu Lian, Zijia Lin, Di Zhang, Xiting Wang

Conference on Empirical Methods in Natural Language Processing (EMNLP Main Conference) 2024

https://arxiv.org/pdf/2404.18533 

BSharedRAG: Backbone Shared Retrieval-Augmented Generation for the E-commerce Domain

Kaisi Guan, Qian Cao, Yuchong Sun, Xiting Wang, Ruihua Song

Conference on Empirical Methods in Natural Language Processing (EMNLP Findings) 2024

https://bsharedrag.github.io/index.html#:~:text=We%20propose%20a%20novel%20Backbone%20Shared 

See or Guess: Counterfactually Regularized Image Captioning

Qian Cao, Xu Chen, Ruihua Song, Xiting Wang, Xinting Huang, Yuchen Ren

ACM International Conference on Multimedia (ACM MM) 2024

https://arxiv.org/pdf/2408.16809 

Prototypical Reward Network for Data Efficient Model Alignment

Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu

Annual Meeting of the Association for Computational Linguistics (ACL Main Conference, Oral) 2024

https://aclanthology.org/2024.acl-long.748/

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

Annual Meeting of the Association for Computational Linguistics (ACL Main Conference) 2024

https://aclanthology.org/2024.acl-long.320/ 

Persuading across Diverse Domains: a Dataset and Persuasion Large Language Model

Chuhao Jin, Kening Ren, Lingzhen Kong, Xiting Wang, Ruihua Song, Huan Chen

Annual Meeting of the Association for Computational Linguistics (ACL Main Conference) 2024

https://aclanthology.org/2024.acl-long.92/ 

Distillation with Explanations from Large Language Models

Hanyu Zhang, Xiting Wang, Xiang Ao, Qing He

Joint International Conference on Computational Linguistics, Language Resources and Evaluation (COLING) 2024

https://aclanthology.org/2024.lrec-main.449/

2023

A Causality Inspired Framework for Model Interpretation

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

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | August 2023

Semi-Offline Reinforcement Learning for Optimized Text Generation

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

International Conference on Machine Learning (ICML) | July 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

the Web Conference 2023 | April 2023

Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes

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

AAAI Conference on Artificial Intelligence (AAAI) | April 2023

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 Transactions on Knowledge Discovery from Data (TKDD) 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 Transactions on Visualization and Computer Graphics (IEEE TVCG) | December 2022, Vol 28(12)

Self-explaining deep models with logic rule reasoning

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

Neural Information Processing Systems (NeurIPS) | November 2022

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

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

Conference on Empirical Methods in Natural Language Processing (EMNLP Findings) | October 2022

Reinforcement Subgraph Reasoning for Fake News Detection

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

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | June 2022

Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora

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

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | May 2022 (Applied Data Science Track)

Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning

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

The Web Conference 2022 | April 2022

Clickbait Detection via Contrastive Variational Modelling of Text and Label

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

International Joint Conference on Artificial Intelligence (IJCAI) | March 2022

Reinforcement Routing on Proximity Graph for Efficient Recommendation

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

ACM Transactions on Information Systems (TOIS) | February 2022

ProFairRec: Provider Fairness-aware News Recommendation

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

ACM SIGIR Conference on Research and Development in Information Retrieval [SIGIR] | January 2022

2021

Towards Fine-Grained Reasoning for Fake News Detection

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

AAAI 2022 | December 2021

Learning Groupwise Explanations for Black-Box Models

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

International Joint Conference on Artificial Intelligence (IJCAI) | August 2021

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

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

The Annual Meeting of the Association for Computational Linguistics (ACL) | August 2021

Reinforcing Pretrained Models for Generating Attractive Text Advertisements

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

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | August 2021 (Applied Data Science Track)

Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning

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

KDD 2021 | August 2021

Fairness-aware News Recommendation with Decomposed Adversarial Learning

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

AAAI Conference on Artificial Intelligence (AAAI) | June 2021

Learning Fair Representations for Recommendation: A Graph-based Perspective

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

The Web Conference | June 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 Transactions on Visualization and Computer Graphics (IEEE TVCG) | May 2021, Vol 1(1)

Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network

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

International Conference on Database Systems for Advanced Applications (DASFAA) | March 2021

2020

Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs

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

ACM SIGIR Conference on Research and Development in Information Retrieval [SIGIR] | June 2020

Towards Explainable Conversational Recommendation

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

International Joint Conferences on Artificial Intelligence (IJCAI) | May 2020

Interactive Steering of Hierarchical Clustering

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

IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG) | March 2020

Distance Metric Learning with Joint Representation Diversification

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

International Conference on Machine Learning (ICML) | February 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

ACM International Conference on Information and Knowledge Management (CIKM) | January 2020

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

International Conference on Machine Learning (ICML) | June 2019

Co-Attentive Multi-Task Learning for Explainable Recommendation

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

International Joint Conferences on Artificial Intelligence (IJCAI) | June 2019

A Neural Influence Diffusion Model for Social Recommendation

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

ACM SIGIR Conference on Research and Development in Information Retrieval [SIGIR] | May 2019

Explainable Recommendation Through Attentive Multi-View Learning

Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie

AAAI Conference on Artificial Intelligence (AAAI) | March 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

IEEE International Conference on Data Mining (ICDM) | February 2019 (Short Paper)

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

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

ACM International Conference on Information and Knowledge Management (CIKM) | January 2019

2018

A Reinforcement Learning Framework for Explainable Recommendation

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

IEEE International Conference on Data Mining (ICDM) | November 2018

PhotoRecomposer: Interactive Photo Recomposition by Cropping (TVCG Spotlight Article for Oct. 2018)

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

IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG) | October 2018

Bridging Text Visualization and Mining: A Task-Driven Survey

Shixia Liu, Xiting Wang, Christopher Collins, Wenwen Dou, Fangxin Ouyang, Mennatallah El-Assady, Liu Jiang, Daniel A. Keim

IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG) | May 2018

Visual Diagnosis of Tree Boosting Methods

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

IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG) | January 2018

2017

Improving Learning-from-Crowds through Expert Validation

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

International Joint Conference on Artificial Intelligence (IJCAI) | August 2017

Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective

Shixia Liu, Xiting Wang, Mengchen Liu, Jun Zhu

Visual Informatics | March 2017, Vol 1

2016

TopicPanorama: A Full Picture of Relevant Topics (TVCG Spotlight Article for Dec. 2016)

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

IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG) | December 2016

Online Visual Analytics of Text Streams

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

IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG) | November 2016

How Ideas Flow across Multiple Social Groups

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

IEEE Conference on Visual Analytics Science and Technology (IEEE VAST) | October 2016

Tracking Idea Flows between Social Groups

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

AAAI Conference on Artificial Intelligence (AAAI) | February 2016

2015

Evolutionary Bayesian Rose Trees

Shixia Liu, Xiting Wang, Yangqiu Song, Baining Guo

IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE) | June 2015

Evolutionary Bayesian Rose Trees

Shixia Liu, Xiting Wang, Yangqiu Song, Baining Guo

IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE) | June 2015

2014

TopicPanorama: a Full Picture of Relevant Topics

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

IEEE Conference on Visual Analytics Science and Technology (IEEE VAST) | October 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

IEEE Pacific Visualization Symposium (IEEE PacificVis) | March 2014

2013

Mining Evolutionary Multi-Branch Trees from Text Streams

Xiting Wang, Shixia Liu, Yangqiu Song, Baining Guo

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | August 2013