| 2024 | On Compressing Historical Cliques in Temporal Graphs. | Kaiyu Chen, Dong Wen, Wentao Li, Zhengyi Yang, Wenjie Zhang |
| 2024 | Document Hashing by Exploiting Noisy Neighborhood Information with Fault-Tolerant Mutual-Information-Preserving VAE. | Jiayang Chen, Qinliang Su, Zetong Li, Hai Wan, Defu Lian |
| 2024 | On Unified Prompt Tuning for Request Quality Assurance in Public Code Review. | Xinyu Chen, Lin Li, Rui Zhang, Peng Liang |
| 2024 | Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. | Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li |
| 2024 | Hyper-parameter Recommendation for Truth Discovery. | Siying Chen, Xiaoou Ding, Zheng Liang, Yafeng Tang, Hongzhi Wang |
| 2024 | Segam: Secure and Efficient Group-by-Aggregation Queries across Multiple Private Database. | Zicheng Cao, Qingzhi Ma, Wei Chen, Lei Zhao, An Liu |
| 2024 | A Federated Learning Framework Using a Secure, Controllable and Efficient Multi-Key Homomorphic Encryption Scheme. | Yuhan Cai, Wei Song |
| 2024 | Towards Mixture of Task-Intensive Experts for Multi-task Recommendation. | Xun Cai, Yuxiang Lu, Hongtao Lu, Yue Ding |
| 2024 | FedSig: A Federated Graph Augmentation for Class-Imbalanced Node Classification. | Bei Bi, Zhiwei Zhang, Pengpeng Qiao, Ye Yuan, Guoren Wang |
| 2024 | NGDRL: A Dynamic News Graph-Based Deep Reinforcement Learning Framework for Portfolio Optimization. | Yuxuan Bian, Haoyu Sun, Yang Lei, Peng Zhu, Dawei Cheng |
| 2024 | Empowering Domain Experts to Enhance Clustering Results Through Interactive Refinement. | Michael Behringer, Dennis Treder-Tschechlov, Jannis Rapp |
| 2024 | Speal: Achieving a More Accurate Model with Less Training Data in Performance Evaluation of Storage System through Sampling Optimization. | Liang Bao, Hua Wang, Ke Zhou, Guangyu Zhang, Ji Zhang, Xi Peng, Qingqing Yang, Renhai Chen, Gong Zhang |
| 2024 | Improving Alignment and Uniformity of Expert Representation with Contrastive Learning for Mixture-of-Experts Model. | Zhuoxi Bai, Kuo Su, Xinyi Zhu, Yun Xiong |
| 2024 | TimeGAE: A Multivariate Time-Series Generation Method via Graph Auto Encoder. | Zhao Bai, Fangda Guo, Yuxin Xi, Zhuoming Zhu, Yu Guo, Rongfang Bie |
| 2024 | SDGnE: A Synthetic Data Generation and Evaluation System for Rare Event Prediction. | Wan D. Bae, Shayma Alkobaisi, Sartaj Bhuvaji, Siddheshwari Bankar |
| 2024 | Leveraging Homophily-Augmented Energy Propagation for Bot Detection on Graphs. | Bradley Ashmore, Lingwei Chen |
| 2024 | Query Expansion in Food Review Search with Synonymous Phrase Generation by LLM. | Arisa Ashizawa, Ryota Mibayashi, Hiroaki Ohshima |
| 2024 | Post-hoc Facts augmented Legal Judgment Prediction. | Yanqing An, Linan Yue, Weibo Gao, Kai Zhang, Qi Liu |
| 2023 | A Joint Link-Retrieve Framework for Open Table-and-Text Question Answering. | Jian Zou, Jiaan Wang, Ying He, Jianfeng Qu, Zhixu Li, Pengpeng Zhao, An Liu, Lei Zhao |
| 2023 | Efficiently Answering Why-Not Questions on Radius-Bounded k-Core Searches. | Chuanyu Zong, Zefang Dong, Xiaochun Yang, Bin Wang, Tao Qiu, Huaijie Zhu |
| 2023 | Continuous k-Similarity Trajectories Search over Data Stream. | Rui Zhu, Meichun Xiao, Bin Wang, Xiaochun Yang, Xiufeng Xia, Chuanyu Zong, Tao Qiu |
| 2023 | HIT - An Effective Approach to Build a Dynamic Financial Knowledge Base. | Xinyi Zhu, Hao Xin, Yanyan Shen, Lei Chen |
| 2023 | Causal MRC: Mitigating Position Bias Based on Causal Graph. | Jiazheng Zhu, Linjuan Wu, Shaojuan Wu, Xiaowang Zhang, Yuexian Hou, Zhiyong Feng |
| 2023 | Data-Augmented Counterfactual Learning for Bundle Recommendation. | Shixuan Zhu, Qi Shen, Chuan Cui, Yu Ji, Yiming Zhang, Zhenwei Dong, Zhihua Wei |
| 2023 | Few-Shot Link Prediction for Event-Based Social Networks via Meta-learning. | Xi Zhu, Pengfei Luo, Ziwei Zhao, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Enhong Chen |