| 2024 | A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. | Xu Huang, Jianxun Lian, Hao Wang, Hao Liao, Defu Lian, Xing Xie |
| 2024 | Cost-effective Data Labelling for Graph Neural Networks. | Shixun Huang, Ge Lee, Zhifeng Bao, Shirui Pan |
| 2024 | Advancing Web 3.0: Making Smart Contracts Smarter on Blockchain. | Junqin Huang, Linghe Kong, Guanjie Cheng, Qiao Xiang, Guihai Chen, Gang Huang, Xue Liu |
| 2024 | Can GNN be Good Adapter for LLMs? | Xuanwen Huang, Kaiqiao Han, Yang Yang, Dezheng Bao, Quanjin Tao, Ziwei Chai, Qi Zhu |
| 2024 | Densest Subhypergraph: Negative Supermodular Functions and Strongly Localized Methods. | Yufan Huang, David F. Gleich, Nate Veldt |
| 2024 | Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation. | Keke Huang, Ruize Gao, Bogdan Cautis, Xiaokui Xiao |
| 2024 | Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data. | Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2024 | Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach. | Keke Huang, Wencai Cao, Hoang Ta, Xiaokui Xiao, Pietro Li |
| 2024 | MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment. | Hongtao Huang, Xiaojun Chang, Wen Hu, Lina Yao |
| 2024 | A Tale of Two Communities: Exploring Academic References on Stack Overflow. | Run Huang, Souti Chattopadhyay |
| 2024 | Unlocking the Non-deterministic Computing Power with Memory-Elastic Multi-Exit Neural Networks. | Jiaming Huang, Yi Gao, Wei Dong |
| 2024 | Thought Graph: Generating Thought Process for Biological Reasoning. | Chi-Yang Hsu, Kyle Cox, Jiawei Xu, Zhen Tan, Tianhua Zhai, Mengzhou Hu, Dexter Pratt, Tianlong Chen, Ziniu Hu, Ying Ding |
| 2024 | PRINT: Personalized Relevance Incentive Network for CTR Prediction in Sponsored Search. | Zhaolin Hong, Haitao Wang, Chengjie Qian, Wei Chen, Tianqi He, Yajie Zou, Qiang Liu, Xingxing Wang |
| 2024 | Mining Interest Diffusion in Online Activity Data Streams. | Shingo Higashiguchi |
| 2024 | Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials. | Mingguo He, Zhewei Wei, Shikun Feng, Zhengjie Huang, Weibin Li, Yu Sun, Dianhai Yu |
| 2024 | Hierarchical Query Classification in E-commerce Search. | Bing He, Sreyashi Nag, Limeng Cui, Suhang Wang, Zheng Li, Rahul Goutam, Zhen Li, Haiyang Zhang |
| 2024 | Co-clustering for Federated Recommender System. | Xinrui He, Shuo Liu, Jacky Keung, Jingrui He |
| 2024 | TrustLOG: The Second Workshop on Trustworthy Learning on Graphs. | Jingrui He, Jian Kang, Fatemeh Nargesian, Haohui Wang, An Zhang, Dawei Zhou |
| 2024 | Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing. | Liyang He, Zhenya Huang, Jiayu Liu, Enhong Chen, Fei Wang, Jing Sha, Shijin Wang |
| 2024 | Brinjal: A Web-Plugin for Collaborative Hate Speech Detection. | Ming Shan Hee, Karandeep Singh, Charlotte Ng Si Min, Kenny Tsu Wei Choo, Roy Ka-Wei Lee |
| 2024 | Understanding (Dark) Humour with Internet Meme Analysis. | Ming Shan Hee, Rui Cao, Tanmoy Chakraborty, Roy Ka-Wei Lee |
| 2024 | AI Driven Online Advertising: Market Design, Generative AI, and Ethics. | Fengxiang He, Mengnan Du, Aris Filos-Ratsikas, Lu Cheng, Qingquan Song, Min Lin, John Vines |
| 2024 | Box2Go: Collaborative Interactive Infobox Filling. | Benjamin Httasch, Carsten Binnig |
| 2024 | CAAW'24: The 3rd International Cryptoasset Analytics Workshop. | Bernhard Haslhofer, Friedhelm Victor, Jiahua Xu, Kwok-Yan Lam |
| 2024 | History in Making: Political Campaigns in the Era of Artificial Intelligence-Generated Content. | Ehsan ul Haq, Yiming Zhu, Pan Hui, Gareth Tyson |