| 2022 | Explainable Link Prediction in Knowledge Hypergraphs. | Zirui Chen, Xin Wang, Chenxu Wang, Jianxin Li |
| 2022 | DASH: An Agile Knowledge Graph System Disentangling Demands, Algorithms, Data Resources, and Humans. | Shaowei Chen, Haoran Wang, Jie Liu, Jiahui Wu |
| 2022 | CFS-MTL: A Causal Feature Selection Mechanism for Multi-task Learning via Pseudo-intervention. | Zhongde Chen, Ruize Wu, Cong Jiang, Honghui Li, Xin Dong, Can Long, Yong He, Lei Cheng, Linjian Mo |
| 2022 | Utilizing Contrastive Learning To Address Long Tail Issue in Product Categorization. | Lei Chen, Tianqi Wang |
| 2022 | ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models. | Ziheng Chen, Fabrizio Silvestri, Jia Wang, He Zhu, Hongshik Ahn, Gabriele Tolomei |
| 2022 | Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation. | Rihan Chen, Bin Liu, Han Zhu, Yaoxuan Wang, Qi Li, Buting Ma, Qingbo Hua, Jun Jiang, Yunlong Xu, Hongbo Deng, Bo Zheng |
| 2022 | GCF-RD: A Graph-based Contrastive Framework for Semi-Supervised Learning on Relational Databases. | Runjin Chen, Tong Li, Yanyan Shen, Luyu Qiu, Kaidi Li, Caleb Chen Cao |
| 2022 | Generating Persuasive Responses to Customer Reviews with Multi-Source Prior Knowledge in E-commerce. | Bo Chen, Jiayi Liu, Mieradilijiang Maimaiti, Xing Gao, Ji Zhang |
| 2022 | CyberWater: An Open Framework for Data and Model Integration in Water Science and Engineering. | Ranran Chen, Feng Li, Drew Bieger, Fengguang Song, Yao Liang, Daniel Luna, Ryan Young, Xu Liang, Sudhakar Pamidighantam |
| 2022 | Scalable Graph Representation Learning via Locality-Sensitive Hashing. | Xiusi Chen, Jyun-Yu Jiang, Wei Wang |
| 2022 | ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games. | Xiusi Chen, Jyun-Yu Jiang, Kun Jin, Yichao Zhou, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang |
| 2022 | An Empirical Cross Domain-Specific Entity Recognition with Domain Vector. | Wei Chen, Songqiao Han, Hailiang Huang |
| 2022 | Bias mitigation in recommender systems to improve diversity. | Du Cheng, Doruk Kilitioglu, Serdar Kadioglu |
| 2022 | Knowledge Tracing Model with Learning and Forgetting Behavior. | Mingzhi Chen, Quanlong Guan, Yizhou He, Zhenyu He, Liangda Fang, Weiqi Luo |
| 2022 | Dynamic Explicit Embedding Representation for Numerical Features in Deep CTR Prediction. | Yuan Cheng |
| 2022 | Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search. | Haonan Chen, Zhicheng Dou, Yutao Zhu, Zhao Cao, Xiaohua Cheng, Ji-Rong Wen |
| 2022 | Efficient Second-Order Optimization for Neural Networks with Kernel Machines. | Yawen Chen, Yile Chen, Jian Chen, Zeyi Wen, Jin Huang |
| 2022 | Trusted Media Challenge Dataset and User Study. | Weiling Chen, Sheng Lun Benjamin Chua, Stefan Winkler, See-Kiong Ng |
| 2022 | Time Lag Aware Sequential Recommendation. | Lihua Chen, Ning Yang, Philip S. Yu |
| 2022 | Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS). | Hanxiong Chen, Yunqi Li, He Zhu, Yongfeng Zhang |
| 2022 | Predicting Guiding Entities for Entity Aspect Linking. | Shubham Chatterjee, Laura Dietz |
| 2022 | Finding components of a good accuracy with XAI! | Benjamin Chamand, Olivier Risser-Maroix |
| 2022 | Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations. | Shea Cardozo, Gabriel Islas Montero, Dmitry Kazhdan, Botty Dimanov, Maleakhi A. Wijaya, Mateja Jamnik, Pietro Li |
| 2022 | Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction. | Yue Cao, Xiaojiang Zhou, Jiaqi Feng, Peihao Huang, Yao Xiao, Dayao Chen, Sheng Chen |
| 2022 | A Context-Enhanced Transformer with Abbr-Recover Policy for Chinese Abbreviation Prediction. | Kaiyan Cao, Deqing Yang, Jingping Liu, Jiaqing Liang, Yanghua Xiao, Feng Wei, Baohua Wu, Quan Lu |