| 2026 | AAAI | Efficient Post-Training Refinement of Latent Reasoning in Large Language Models. | Xinyuan Wang, Dongjie Wang, Wangyang Ying, Haoyue Bai, Nanxu Gong, Sixun Dong, Kunpeng Liu, Yanjie Fu |
| 2026 | EACL | Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks. | Haowei Fu, Bo Ni, Han Xu, Kunpeng Liu, Dan Lin, Tyler Derr |
| 2026 | EACL | Blind Spot Navigation in Large Language Model Reasoning with Thought Space Explorer. | Jinghan Zhang, Fengran Mo, Tharindu Cyril Weerasooriya, Xinyue Ye, Dongjie Wang, Yanjie Fu, Kunpeng Liu |
| 2026 | KDD | Heterogeneous Multi-Agent Reinforcement Learning with Attention for Cooperative and Scalable Feature Transformation. | Tao Zhe, Huazhen Fang, Kunpeng Liu, Qian Lou, Tamzidul Hoque, Dongjie Wang |
| 2025 | AAAI | RATT: A Thought Structure for Coherent and Correct LLM Reasoning. | Jinghan Zhang, Xiting Wang, Weijieying Ren, Lu Jiang, Dongjie Wang, Kunpeng Liu |
| 2025 | AAAI | Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection. | Pingting Hao, Kunpeng Liu, Wanfu Gao |
| 2025 | AAAI | Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection. | Hanlin Pan, Kunpeng Liu, Wanfu Gao |
| 2025 | ACL | Entropy-based Exploration Conduction for Multi-step Reasoning. | Jinghan Zhang, Xiting Wang, Fengran Mo, Yeyang Zhou, Wanfu Gao, Kunpeng Liu |
| 2025 | ACL | Diversity-oriented Data Augmentation with Large Language Models. | Zaitian Wang, Jinghan Zhang, Xinhao Zhang, Kunpeng Liu, Pengfei Wang, Yuanchun Zhou |
| 2025 | CIKM | Adaptive Context-Infused Performance Evaluator for Iterative Feature Space Optimization. | Yanping Wu, Yanyong Huang, Zijun Yao, Yanjie Fu, Kunpeng Liu, Xiao Luo, Dongjie Wang |
| 2025 | ICDM | Understanding the Constraints of RAG-Based Medical LVLMs - A Case Study in Ophthalmic Report Generation. | Xiaoyan Han, Jin Ma, Jinghan Zhang, Kunpeng Liu, Feng Luo |
| 2025 | ICDM | CLMC: Code-Level Metacognition for LLM Agents. | Runyang Jian, Yujia Shang, Zunhao Zhu, Kunpeng Liu, Chongyu Bao, Xiaolan Liu |
| 2025 | ICDM | Privatar: A Privacy-Preserving Framework for LLM Agents. | Runyang Jian, Zunhao Zhu, Yujia Shang, Yangbo Shen, Kunpeng Liu |
| 2025 | ICDM | Retrieval-Augmented Feature Generation for Domain-Specific Classification. | Xinhao Zhang, Jinghan Zhang, Fengran Mo, Dakshak Keerthi Chandra, Yu-Zhong Chen, Fei Xie, Kunpeng Liu |
| 2025 | IJCAI | LEKA: LLM-Enhanced Knowledge Augmentation. | Xinhao Zhang, Jinghan Zhang, Fengran Mo, Dongjie Wang, Yanjie Fu, Kunpeng Liu |
| 2025 | IJCAI | Dynamic and Adaptive Feature Generation with LLM. | Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar, Yuanchun Zhou, Pengfei Wang, Kunpeng Liu |
| 2025 | IJCAI | Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method. | Wanfu Gao, Jun Gao, Qingqi Han, Hanlin Pan, Kunpeng Liu |
| 2025 | IJCAI | Two-Stage Feature Generation with Transformer and Reinforcement Learning. | Wanfu Gao, Zengyao Man, Zebin He, Yuhao Tang, Jun Gao, Kunpeng Liu |
| 2025 | IJCAI | Dual-Agent Reinforcement Learning for Automated Feature Generation. | Wanfu Gao, Zengyao Man, Hanlin Pan, Kunpeng Liu |
| 2025 | IJCAI | Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning. | Wanfu Gao, Hanlin Pan, Qingqi Han, Kunpeng Liu |
| 2025 | KDD | AI4DE: The 1st International Workshop on AI for Data Editing. | Yanjie Fu, Kunpeng Liu, Dongjie Wang, Xiangliang Zhang, Khalid K. Osman, Charu Aggarwal, Suzanne M. Shontz, Huan Liu, Jian Pei |
| 2025 | KDD | Imputation via Domain Adaptation: Rethinking Variable Subset Forecasting from Knowledge Transfer. | Runchang Liang, Qi Hao, Yue Gao, Kunpeng Liu, Lu Jiang, Pengyang Wang, Minghao Yin |
| 2025 | SIGdial | Distilling Empathy from Large Language Models. | Henry J. Xie, Jinghan Zhang, Xinhao Zhang, Kunpeng Liu |
| 2024 | AAAI | Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning. | Pingting Hao, Kunpeng Liu, Wanfu Gao |
| 2024 | ACL | Prototypical Reward Network for Data-Efficient RLHF. | Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu |
| 2024 | CIKM | H2D: Hierarchical Heterogeneous Graph Learning Framework for Drug-Drug Interaction Prediction. | Ran Zhang, Xuezhi Wang, Sheng Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang |
| 2024 | CIKM | DCAI: The 4th International Workshop on Data-Centric AI. | Yanjie Fu, Kunpeng Liu, Dongjie Wang |
| 2024 | CIKM | Tabular Data-centric AI: Challenges, Techniques and Future Perspectives. | Yanjie Fu, Dongjie Wang, Hui Xiong, Kunpeng Liu |
| 2024 | DASFAA | M2Mol: Multi-view Multi-granularity Molecular Representation Learning for Property Prediction. | Ran Zhang, Xuezhi Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang |
| 2024 | IJCAI | Hierarchical Reinforcement Learning for Point of Interest Recommendation. | Yanan Xiao, Lu Jiang, Kunpeng Liu, Yuanbo Xu, Pengyang Wang, Minghao Yin |
| 2024 | IJCAI | TFWT: Tabular Feature Weighting with Transformer. | Xinhao Zhang, Zaitian Wang, Lu Jiang, Wanfu Gao, Pengfei Wang, Kunpeng Liu |
| 2024 | SDM | Feature Interaction Aware Automated Data Representation Transformation. | Ehtesamul Azim, Dongjie Wang, Kunpeng Liu, Wei Zhang, Yanjie Fu |
| 2023 | CIKM | T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data. | Weijieying Ren, Tianxiang Zhao, Wei Qin, Kunpeng Liu |
| 2023 | ICDM | RDKG: A Reinforcement Learning Framework for Disease Diagnosis on Knowledge Graph. | Shipeng Guo, Kunpeng Liu, Pengfei Wang, Weiwei Dai, Yi Du, Yuanchun Zhou, Wenjuan Cui |
| 2023 | ICDM | Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing. | Wangyang Ying, Dongjie Wang, Kunpeng Liu, Leilei Sun, Yanjie Fu |
| 2023 | INFOCOM | Deep Reinforcement Learning-Assisted Age-optimal Transmission Policy for HARQ-aided NOMA Networks. | Kunpeng Liu, Aimin Li, Shaohua Wu |
| 2023 | VTC | Cell throughput analysis for downlink multi-user MIMO transmission with radiation pattern reconfigurable antennas. | Xi Li, Chen Hu, Shijie Cai, Kunpeng Liu, Long Shen, Hongjing Xu, Qiang Li |
| 2023 | WWW | A Counterfactual Collaborative Session-based Recommender System. | Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin |
| 2023 | SDM | Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents. | Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu |
| 2023 | SDM | Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations. | Pengfei Wang, Daniel Wang, Kunpeng Liu, Dongjie Wang, Yuanchun Zhou, Leilei Sun, Yanjie Fu |
| 2022 | ICDM | Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective. | Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Ee-Peng Lim, Yanjie Fu |
| 2022 | IJCAI | Feature and Instance Joint Selection: A Reinforcement Learning Perspective. | Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu |
| 2022 | KDD | Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction. | Dongjie Wang, Yanjie Fu, Kunpeng Liu, Xiaolin Li, Yan Solihin |
| 2022 | WWW | Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning. | Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie |
| 2022 | SDM | Unifying Human Mobility Forecasting and Trajectory Semantics Augmentation via Hawkes Process Based LSTM. | Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu |
| 2022 | SecureComm | A Random Reversible Watermarking Scheme for Relational Data. | Qiang Liu, Hequ Xian, Jiancheng Zhang, Kunpeng Liu |
| 2021 | AAAI | Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective. | Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E. Hughes, Yanjie Fu |
| 2021 | ICDM | Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy. | Kunpeng Liu, Pengfei Wang, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu |
| 2021 | ICDM | Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein Distance. | Wei Fan, Kunpeng Liu, Rui Xie, Hao Liu, Hui Xiong, Yanjie Fu |
| 2021 | ICDM | Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning. | Dongjie Wang, Kunpeng Liu, Pauline Johnson, Leilei Sun, Bowen Du, Yanjie Fu |
| 2021 | SDM | Multi-Armed Bandit Based Feature Selection. | Kunpeng Liu, Haibo Huang, Wei Zhang, Ahmad Hariri, Yanjie Fu, Kien A. Hua |
| 2021 | SDM | EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling. | Lu Jiang, Pengyang Wang, Ke Cheng, Kunpeng Liu, Minghao Yin, Bo Jin, Yanjie Fu |
| 2021 | SDM | AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning. | Wei Fan, Kunpeng Liu, Hao Liu, Ahmad Hariri, Dejing Dou, Yanjie Fu |
| 2020 | ICDM | AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. | Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu |
| 2020 | ICDM | Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent. | Xiaosa Zhao, Kunpeng Liu, Wei Fan, Lu Jiang, Xiaowei Zhao, Minghao Yin, Yanjie Fu |
| 2020 | IJCAI | Exploiting Mutual Information for Substructure-aware Graph Representation Learning. | Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien A. Hua |
| 2020 | KDD | Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams. | Pengyang Wang, Kunpeng Liu, Lu Jiang, Xiaolin Li, Yanjie Fu |
| 2019 | KDD | Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning. | Kunpeng Liu, Yanjie Fu, Pengfei Wang, Le Wu, Rui Bo, Xiaolin Li |
| 2018 | ICDM | Privacy-Preserving Multi-task Learning. | Kunpeng Liu, Nitish M. Uplavikar, Wei Jiang, Yanjie Fu |
| 2018 | SDM | Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction. | Kunpeng Liu, Pengyang Wang, Jiawei Zhang, Yanjie Fu, Sajal K. Das |
| 2016 | GLOBECOM | Effect of Wideband Beam Squint on Codebook Design in Phased-Array Wireless Systems. | Mingming Cai, Kang Gao, Ding Nie, Bertrand M. Hochwald, J. Nicholas Laneman, Huang Huang, Kunpeng Liu |
| 2016 | GLOBECOM | Beampattern-Based Tracking for Millimeter Wave Communication Systems. | Kang Gao, Mingming Cai, Ding Nie, Bertrand M. Hochwald, J. Nicholas Laneman, Huang Huang, Kunpeng Liu |
| 2015 | GLOBECOM | Joint Channel Estimation and Beamforming for Millimeter Wave Cellular System. | Huang Huang, Kunpeng Liu, Rong Wen, Yi Wang, Guangjian Wang |
| 2015 | PIMRC | Simulation study on millimeter wave 3D beamforming systems in urban outdoor multi-cell scenarios using 3D ray tracing. | Miaomiao Dong, Wai-Ming Chan, Taejoon Kim, Kunpeng Liu, Huang Huang, Guangjian Wang |
| 2015 | PIMRC | AoD and AoA tracking with directional sounding beam design for millimeter wave MIMO systems. | Qiyou Duan, Taejoon Kim, Huang Huang, Kunpeng Liu, Guangjian Wang |
| 2015 | PIMRC | A millimeter wave channel model with variant angles under 3GPP SCM framework. | Yi Wang, Lei Huang, Zhenyu Shi, Kunpeng Liu, Xiongfei Zou |
| 2014 | GLOBECOM | Millimeter wave MIMO channel tracking systems. | Jiguang He, Taejoon Kim, Hadi G. Ghauch, Kunpeng Liu, Guangjian Wang |
| 2014 | GLOBECOM | On the 3D beamforming and proactive cell shaping with 3GPP 3D channel model. | Leiming Zhang, Jianghua Liu, Kunpeng Liu, Yongxing Zhou |
| 2013 | GLOBECOM | Generalized multipath load sharing using vectorized routing model. | Kunpeng Liu, Bijan Jabbari, Stefano Secci |