| 2026 | AAAI | Proactive Constrained Policy Optimization with Preemptive Penalty. | Ning Yang, Pengyu Wang, Guoqing Liu, Haifeng Zhang, Pin Lyu, Jun Wang |
| 2025 | ICCV | PASD: A Pixel-Adaptive Swarm Dynamics Approach for Unsupervised Low-Light Image Enhancement. | Shuai Jin, Yuhua Qian, Feijiang Li, Guoqing Liu, Xinyan Liang |
| 2025 | ICLR | 3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery. | Xiuyuan Hu, Guoqing Liu, Can Chen, Yang Zhao, Hao Zhang, Xue Liu |
| 2025 | ICLR | Trusted Multi-View Classification via Evolutionary Multi-View Fusion. | Xinyan Liang, Pinhan Fu, Yuhua Qian, Qian Guo, Guoqing Liu |
| 2025 | IJCAI | Stochasticity-aware No-Reference Point Cloud Quality Assessment. | Songlin Fan, Wei Gao, Zhineng Chen, Ge Li, Guoqing Liu, Qicheng Wang |
| 2024 | AAAI | Learning Multi-Task Sparse Representation Based on Fisher Information. | Yayu Zhang, Yuhua Qian, Guoshuai Ma, Keyin Zheng, Guoqing Liu, Qingfu Zhang |
| 2024 | ICASSP | Efficient Point Cloud Attribute Compression Framework using Attribute-Guided Graph Fourier Transform. | Jingshu Zhang, Yueru Chen, Guoqing Liu, Wei Gao, Ge Li |
| 2024 | ICLR | Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers. | Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yujiu Yang |
| 2024 | ICML | Token-level Direct Preference Optimization. | Yongcheng Zeng, Guoqing Liu, Weiyu Ma, Ning Yang, Haifeng Zhang, Jun Wang |
| 2024 | IROS | Thermal-NeRF: Neural Radiance Fields from an Infrared Camera. | Tianxiang Ye, Qi Wu, Junyuan Deng, Guoqing Liu, Liu Liu, Songpengcheng Xia, Liang Pang, Wenxian Yu, Ling Pei |
| 2023 | ICCV | NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping. | Junyuan Deng, Qi Wu, Xieyuanli Chen, Songpengcheng Xia, Zhen Sun, Guoqing Liu, Wenxian Yu, Ling Pei |
| 2023 | ICML | Retrosynthetic Planning with Dual Value Networks. | Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu |
| 2023 | IECON | Cooperative Trajectory Prediction of UAVs via Generative Adversarial Networks. | Yuanhan Wang, Yang-Yang Chen, Rui Yu, Guoqing Liu, Tianrun Liu, Xiangyu Wang |
| 2023 | SMC | High-Precision Indoor Fingerprint Localization Based on Graph Neural Network. | Xiangxu Meng, Wei Li, Zheng Zhao, Yinan Cai, Guoqing Liu |
| 2021 | ICLR | Return-Based Contrastive Representation Learning for Reinforcement Learning. | Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Jian Li, Nenghai Yu, Tie-Yan Liu |
| 2021 | IJCAI | Independence-aware Advantage Estimation. | Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin, Tie-Yan Liu |
| 2021 | IPAS | Does End-to-End Trained Deep Model Always Perform Better than Non-End-to-End Counterpart? | Ikuro Sato, Guoqing Liu, Kohta Ishikawa, Teppei Suzuki, Masayuki Tanaka |
| 2020 | GPC | MobiVision: A Novel Energy-Efficient Mobile Deep Learning Framework for Computer Vision. | Xiaoming Dai, Xinyi Liu, Guoqing Liu, Qing Yang, Tianzhang Xing |
| 2019 | AAAI | Trust Region Evolution Strategies. | Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu |
| 2019 | ICML | Breaking Inter-Layer Co-Adaptation by Classifier Anonymization. | Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka |
| 2016 | AAAI | Representing Sets of Instances for Visual Recognition. | Jianxin Wu, Bin-Bin Gao, Guoqing Liu |
| 2014 | PIMRC | Two-stage interference alignment for partially connected heterogeneous networks. | Min Sheng, Guoqing Liu, Xijun Wang, Yan Zhang, Wanguo Jiao, Ying Li |
| 2011 | IJCAI | Probit Classifiers with a Generalized Gaussian Scale Mixture Prior. | Guoqing Liu, Jianxin Wu, Suiping Zhou |
| 2009 | ICONIP | The Optimization of Kernel CMAC Based on BYY Learning. | Guoqing Liu, Suiping Zhou, Daming Shi |
| 2006 | ISDA | A Study on Self-learning of Manufacturing Pattern Selection in Knowledgeable Manufacturing. | Kai-Ping Ma, Guoqing Liu |