Xiting Wang

Orcid: 0000-0001-5768-1095

According to our database1, Xiting Wang authored at least 78 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Put Your Voice on Stage: Personalized Headline Generation for News Articles.
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.
Remote. Sens., March, 2024

Thought Space Explorer: Navigating and Expanding Thought Space for Large Language Model Reasoning.
CoRR, 2024

Prototypical Reward Network for Data-Efficient RLHF.
CoRR, 2024

RATT: A Thought Structure for Coherent and Correct LLM Reasoning.
CoRR, 2024

Evaluating Concept-based Explanations of Language Models: A Study on Faithfulness and Readability.
CoRR, 2024

Uncovering Safety Risks in Open-source LLMs through Concept Activation Vector.
CoRR, 2024

Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Value.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

See or Guess: Counterfactually Regularized Image Captioning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Evaluating Readability and Faithfulness of Concept-based Explanations.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

BSharedRAG: Backbone Shared Retrieval-Augmented Generation for the E-commerce Domain.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Distillation with Explanations from Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Prototypical Reward Network for Data-Efficient Model Alignment.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Persuading across Diverse Domains: a Dataset and Persuasion Large Language Model.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Reinforcement Routing on Proximity Graph for Efficient Recommendation.
ACM Trans. Inf. Syst., January, 2023

Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations.
CoRR, 2023

Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Values.
CoRR, 2023

Unpacking the Ethical Value Alignment in Big Models.
CoRR, 2023

Evaluating General-Purpose AI with Psychometrics.
CoRR, 2023

From Instructions to Intrinsic Human Values - A Survey of Alignment Goals for Big Models.
CoRR, 2023

MantaID: a machine learning-based tool to automate the identification of biological database IDs.
Database J. Biol. Databases Curation, 2023

Towards Explainable Collaborative Filtering with Taste Clusters Learning.
Proceedings of the ACM Web Conference 2023, 2023

DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision.
Proceedings of the ACM Web Conference 2023, 2023

A Causality Inspired Framework for Model Interpretation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Semi-Offline Reinforcement Learning for Optimized Text Generation.
Proceedings of the International Conference on Machine Learning, 2023

DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation.
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.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Unified Understanding of Deep NLP Models for Text Classification.
IEEE Trans. Vis. Comput. Graph., 2022

Machine-learning-assisted discovery of highly efficient high-entropy alloy catalysts for the oxygen reduction reaction.
Patterns, 2022

Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

ProFairRec: Provider Fairness-aware News Recommendation.
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.
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.
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.
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.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Aero-Engine Remaining Useful Life Prediction via Tensor Decomposition Method.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Towards Fine-Grained Reasoning for Fake News Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Interactive Steering of Hierarchical Clustering.
IEEE Trans. Vis. Comput. Graph., 2021

Interactive Graph Construction for Graph-Based Semi-Supervised Learning.
IEEE Trans. Vis. Comput. Graph., 2021

Learning Fair Representations for Bipartite Graph based Recommendation.
CoRR, 2021

Deep fusion learning facilitates anatomical therapeutic chemical recognition in drug repurposing and discovery.
Briefings Bioinform., 2021

Learning Fair Representations for Recommendation: A Graph-based Perspective.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Reinforcing Pretrained Models for Generating Attractive Text Advertisements.
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.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning Groupwise Explanations for Black-Box Models.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network.
Proceedings of the Database Systems for Advanced Applications, 2021

PENS: A Dataset and Generic Framework for Personalized News Headline Generation.
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.
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.
J. Chem. Inf. Model., 2020

Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Towards Explainable Conversational Recommendation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Distance Metric Learning with Joint Representation Diversification.
Proceedings of the 37th International Conference on Machine Learning, 2020

Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation.
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.
IEEE Trans. Vis. Comput. Graph., 2019

A Neural Influence Diffusion Model for Social Recommendation.
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.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Co-Attentive Multi-Task Learning for Explainable Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Towards a Deep and Unified Understanding of Deep Neural Models in NLP.
Proceedings of the 36th International Conference on Machine Learning, 2019

CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Explainable Recommendation through Attentive Multi-View Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Visual Diagnosis of Tree Boosting Methods.
IEEE Trans. Vis. Comput. Graph., 2018

PhotoRecomposer: Interactive Photo Recomposition by Cropping.
IEEE Trans. Vis. Comput. Graph., 2018

SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation.
CoRR, 2018

A Reinforcement Learning Framework for Explainable Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Towards better analysis of machine learning models: A visual analytics perspective.
Vis. Informatics, 2017

Improving Learning-from-Crowds through Expert Validation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
TopicPanorama: A Full Picture of Relevant Topics.
IEEE Trans. Vis. Comput. Graph., 2016

Online Visual Analytics of Text Streams.
IEEE Trans. Vis. Comput. Graph., 2016

Molecular dynamics simulations reveal the allosteric effect of F1174C resistance mutation to ceritinib in ALK-associated lung cancer.
Comput. Biol. Chem., 2016

How ideas flow across multiple social groups.
Proceedings of the 11th IEEE Conference on Visual Analytics Science and Technology, 2016

Tracking Idea Flows between Social Groups.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Evolutionary Bayesian Rose Trees.
IEEE Trans. Knowl. Data Eng., 2015

2014
TopicPanorama: A full picture of relevant topics.
Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

Let It Flow: A Static Method for Exploring Dynamic Graphs.
Proceedings of the IEEE Pacific Visualization Symposium, 2014

2013
Mining evolutionary multi-branch trees from text streams.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013


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