| 2023 | Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint. | Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, Yuankai Zhang, Jie Han, Yixiong Zou |
| 2023 | Explicit Feature Interaction-aware Uplift Network for Online Marketing. | Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He |
| 2023 | Knowledge Graph Reasoning and Its Applications. | Lihui Liu, Hanghang Tong |
| 2023 | Using Motif Transitions for Temporal Graph Generation. | Penghang Liu, Ahmet Erdem Sariyce |
| 2023 | Stationary Algorithmic Balancing For Dynamic Email Re-Ranking Problem. | Jiayi Liu, Jennifer Neville |
| 2023 | Fire: An Optimization Approach for Fast Interpretable Rule Extraction. | Brian Liu, Rahul Mazumder |
| 2023 | Discovering Dynamic Causal Space for DAG Structure Learning. | Fangfu Liu, Wenchang Ma, An Zhang, Xiang Wang, Yueqi Duan, Tat-Seng Chua |
| 2023 | WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences. | Xiao Liu, Hanyu Lai, Hao Yu, Yifan Xu, Aohan Zeng, Zhengxiao Du, Peng Zhang, Yuxiao Dong, Jie Tang |
| 2023 | B | Mengyue Liu, Yun Lin, Jun Liu, Bohao Liu, Qinghua Zheng, Jin Song Dong |
| 2023 | Fairness-Aware Continuous Predictions of Multiple Analytics Targets in Dynamic Networks. | Ruifeng Liu, Qu Liu, Tingjian Ge |
| 2023 | Uncertainty-Aware Probabilistic Travel Time Prediction for On-Demand Ride-Hailing at DiDi. | Hao Liu, Wenzhao Jiang, Shui Liu, Xi Chen |
| 2023 | Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge. | Jiayu Liu, Zhenya Huang, Zhiyuan Ma, Qi Liu, Enhong Chen, Tianhuang Su, Haifeng Liu |
| 2023 | Enhancing Graph Representations Learning with Decorrelated Propagation. | Hua Liu, Haoyu Han, Wei Jin, Xiaorui Liu, Hui Liu |
| 2023 | QTIAH-GNN: Quantity and Topology Imbalance-aware Heterogeneous Graph Neural Network for Bankruptcy Prediction. | Yucheng Liu, Zipeng Gao, Xiangyang Liu, Pengfei Luo, Yang Yang, Hui Xiong |
| 2023 | Learning Strong Graph Neural Networks with Weak Information. | Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan |
| 2023 | PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation. | Ruixuan Liu, Yang Cao, Yanlin Wang, Lingjuan Lyu, Yun Chen, Hong Chen |
| 2023 | Communication Efficient Distributed Newton Method with Fast Convergence Rates. | Chengchang Liu, Lesi Chen, Luo Luo, John C. S. Lui |
| 2023 | FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs. | Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua, Qing He |
| 2023 | Balancing Approach for Causal Inference at Scale. | Sicheng Lin, Meng Xu, Xi Zhang, Shih-Kang Chao, Ying-Kai Huang, Xiaolin Shi |
| 2023 | MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. | Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2023 | International Workshop on Multimodal Learning - 2023 Theme: Multimodal Learning with Foundation Models. | Yuan Ling, Fanyou Wu, Shujing Dong, Yarong Feng, George Karypis, Chandan K. Reddy |
| 2023 | Tree based Progressive Regression Model for Watch-Time Prediction in Short-video Recommendation. | Xiao Lin, Xiaokai Chen, Linfeng Song, Jingwei Liu, Biao Li, Peng Jiang |
| 2023 | Machine Unlearning in Gradient Boosting Decision Trees. | Huawei Lin, Jun Woo Chung, Yingjie Lao, Weijie Zhao |
| 2023 | Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based Approach. | Ningyuan Li, Yunxuan Ma, Yang Zhao, Zhijian Duan, Yurong Chen, Zhilin Zhang, Jian Xu, Bo Zheng, Xiaotie Deng |
| 2023 | Diga: Guided Diffusion Model for Graph Recovery in Anti-Money Laundering. | Xujia Li, Yuan Li, Xueying Mo, Hebing Xiao, Yanyan Shen, Lei Chen |