| 2023 | Model Conversion via Differentially Private Data-Free Distillation. | Bochao Liu, Pengju Wang, Shikun Li, Dan Zeng, Shiming Ge |
| 2023 | Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully Exploiting Self-Attention. | Xiangcheng Liu, Tianyi Wu, Guodong Guo |
| 2023 | FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment. | Jiahao Liu, Jiang Wu, Jinyu Chen, Miao Hu, Yipeng Zhou, Di Wu |
| 2023 | Auto-bidding with Budget and ROI Constrained Buyers. | Xiaodong Liu, Weiran Shen |
| 2023 | FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer. | Chenghao Liu, Xiaoyang Qu, Jianzong Wang, Jing Xiao |
| 2023 | FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler (Extended Abstract). | Siting Liu, Yuan Pu, Peiyu Liao, Hongzhong Wu, Rui Zhang, Zhitang Chen, Wenlong Lv, Yibo Lin, Bei Yu |
| 2023 | Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond. | Zhu Liu, Jinyuan Liu, Guanyao Wu, Long Ma, Xin Fan, Risheng Liu |
| 2023 | Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? | Bing Liu, Wei Luo, Gang Li, Jing Huang, Bo Yang |
| 2023 | Local and Global: Temporal Question Answering via Information Fusion. | Yonghao Liu, Di Liang, Mengyu Li, Fausto Giunchiglia, Ximing Li, Sirui Wang, Wei Wu, Lan Huang, Xiaoyue Feng, Renchu Guan |
| 2023 | Cross-Domain Facial Expression Recognition via Disentangling Identity Representation. | Tong Liu, Jing Li, Jia Wu, Lefei Zhang, Shanshan Zhao, Jun Chang, Jun Wan |
| 2023 | GPLight: Grouped Multi-agent Reinforcement Learning for Large-scale Traffic Signal Control. | Yilin Liu, Guiyang Luo, Quan Yuan, Jinglin Li, Lei Jin, Bo Chen, Rui Pan |
| 2023 | PPAT: Progressive Graph Pairwise Attention Network for Event Causality Identification. | Zhenyu Liu, Baotian Hu, Zhenran Xu, Min Zhang |
| 2023 | Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Association Prediction. | Luotao Liu, Feng Huang, Xuan Liu, Zhankun Xiong, Menglu Li, Congzhi Song, Wen Zhang |
| 2023 | Interpret ESG Rating's Impact on the Industrial Chain Using Graph Neural Networks. | Bin Liu, Jiujun He, Ziyuan Li, Xiaoyang Huang, Xiang Zhang, Guosheng Yin |
| 2023 | Generative Diffusion Models on Graphs: Methods and Applications. | Chengyi Liu, Wenqi Fan, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li |
| 2023 | Customized Positional Encoding to Combine Static and Time-varying Data in Robust Representation Learning for Crop Yield Prediction. | Qinqing Liu, Fei Dou, Meijian Yang, Ezana Amdework, Guiling Wang, Jinbo Bi |
| 2023 | Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network. | Junyi Liu, Dawei Cheng, Changjun Jiang |
| 2023 | The Importance of Human-Labeled Data in the Era of LLMs. | Yang Liu |
| 2023 | Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation. | Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jianwei Yin, Yanchao Tan, Longfei Zheng |
| 2023 | Robust Reinforcement Learning via Progressive Task Sequence. | Yike Li, Yunzhe Tian, Endong Tong, Wenjia Niu, Jiqiang Liu |
| 2023 | Learning Attention from Attention: Efficient Self-Refinement Transformer for Face Super-Resolution. | Guanxin Li, Jingang Shi, Yuan Zong, Fei Wang, Tian Wang, Yihong Gong |
| 2023 | IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse. | Yang Li, Liangliang Shi, Junchi Yan |
| 2023 | Probabilistic Planning with Prioritized Preferences over Temporal Logic Objectives. | Lening Li, Hazhar Rahmani, Jie Fu |
| 2023 | SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting. | Yiduo Li, Shiyi Qi, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu |
| 2023 | SUSTAINABLESIGNALS: An AI Approach for Inferring Consumer Product Sustainability. | Tong Lin, Tianliang Xu, Amit Zac, Sabina Tomkins |