| 2023 | The 1st Workshop on Recommendation with Generative Models. | Wenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He, Aixin Sun |
| 2023 | Network Embedding with Adaptive Multi-hop Contrast. | Chenhao Wang, Yong Liu, Yan Yang |
| 2023 | Training Heterogeneous Graph Neural Networks using Bandit Sampling. | Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna |
| 2023 | CLOCK: Online Temporal Hierarchical Framework for Multi-scale Multi-granularity Forecasting of User Impression. | XiaoYu Wang, Yonghui Guo, Xiaoyang Ma, Dongbo Huang, Lan Xu, Haisheng Tan, Hao Zhou, Xiang-Yang Li |
| 2023 | Selecting Top-k Data Science Models by Example Dataset. | Mengying Wang, Sheng Guan, Hanchao Ma, Yiyang Bian, Haolai Che, Abhishek Daundkar, Alp Sehirlioglu, Yinghui Wu |
| 2023 | Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction. | Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu |
| 2023 | HugNLP: A Unified and Comprehensive Library for Natural Language Processing. | Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao |
| 2023 | Enhancing Badminton Player Performance via a Closed-Loop AI Approach: Imitation, Simulation, Optimization, and Execution. | Kuang-Da Wang |
| 2023 | NOVO: Learnable and Interpretable Document Identifiers for Model-Based IR. | Zihan Wang, Yujia Zhou, Yiteng Tu, Zhicheng Dou |
| 2023 | GraphFADE: Field-aware Decorrelation Neural Network for Graphs with Tabular Features. | Junhong Wan, Yao Fu, Junlan Yu, Weihao Jiang, Shiliang Pu, Ruiheng Yang |
| 2023 | MArBLE: Hierarchical Multi-Armed Bandits for Human-in-the-Loop Set Expansion. | Muntasir Wahed, Daniel Gruhl, Ismini Lourentzou |
| 2023 | RecRec: Algorithmic Recourse for Recommender Systems. | Sahil Verma, Ashudeep Singh, Varich Boonsanong, John P. Dickerson, Chirag Shah |
| 2023 | Explaining Learning to Rank Methods to Improve Them. | Alberto Veneri |
| 2023 | Knowledge-driven Analytics and Systems Impacting Human Quality of Life- Neurosymbolic AI, Explainable AI and Beyond. | Arijit Ukil, Joo Gama, Antonio J. Jara, Leandro Marn |
| 2023 | Leveraging Knowledge and Reinforcement Learning for Enhanced Reliability of Language Models. | Nancy Tyagi, Surjodeep Sarkar, Manas Gaur |
| 2023 | LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach Prompts. | Shangqing Tu, Zheyuan Zhang, Jifan Yu, Chunyang Li, Siyu Zhang, Zijun Yao, Lei Hou, Juanzi Li |
| 2023 | Cluster-Explorer: An interactive Framework for Explaining Black-Box Clustering Results. | Sariel Tutay, Amit Somech |
| 2023 | Generating Optimized Molecules without Patent Infringement. | Sally Turutov, Kira Radinsky |
| 2023 | Prod2Vec-Var: A Session Based Recommendation System with Enhanced Diversity. | Hacer Turgut, Tan Doruk Yetki, mr Bali, Tayfun Arda Ycel |
| 2023 | Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation. | Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou, Guannan Zhang |
| 2023 | DynamicESG: A Dataset for Dynamically Unearthing ESG Ratings from News Articles. | Yu-Min Tseng, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen |
| 2023 | Citation Intent Classification and Its Supporting Evidence Extraction for Citation Graph Construction. | Hong-Jin Tsai, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen |
| 2023 | Multi-Representation Variational Autoencoder via Iterative Latent Attention and Implicit Differentiation. | Nhu-Thuat Tran, Hady W. Lauw |
| 2023 | Experience and Evidence are the eyes of an excellent summarizer! Towards Knowledge Infused Multi-modal Clinical Conversation Summarization. | Abhisek Tiwari, Anisha Saha, Sriparna Saha, Pushpak Bhattacharyya, Minakshi Dhar |
| 2023 | Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation. | Changxin Tian, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou |