Liu, Guoqing

28 publications

ICLR 2025 3DMolFormer: A Dual-Channel Framework for Structure-Based Drug Discovery Xiuyuan Hu, Guoqing Liu, Can Chen, Yang Zhao, Hao Zhang, Xue Liu

ICLRW 2025 ARIES: Stimulating Self-Refinement of Large Language Models with and for Iterative Preference Optimization Yongcheng Zeng, Xuanfa Jin, Guoqing Liu, Quan He, Dong Li, Jianye Hao, Haifeng Zhang, Jun Wang

ICLRW 2025 Enhancing Mathematical Reasoning in Language Models Through Focused Differentiation Training Zhiyu Zhao, Yongcheng Zeng, Ning Yang, Zihan Zhao, Haifeng Zhang, Jun Wang, Guoqing Liu

ICLRW 2025 HybriDNA: A Hybird Transformer-Mamba2 Long-Range DNA Language Model Mingqian Ma, Guoqing Liu, Chuan Cao, Pan Deng, Tri Dao, Albert Gu, Peiran Jin, Zhao Yang, Yingce Xia, Renqian Luo, Pipi Hu, Zun Wang, Yuan-Jyue Chen, Haiguang Liu, Tao Qin

ICCV 2025 PASD: A Pixel-Adaptive Swarm Dynamics Approach for Unsupervised Low-Light Image Enhancement Shuai Jin, Yuhua Qian, Feijiang Li, Guoqing Liu, Xinyan Liang

TMLR 2025 Reinforcement Learning from Bagged Reward Yuting Tang, Xin-Qiang Cai, Yao-Xiang Ding, Qiyu Wu, Guoqing Liu, Masashi Sugiyama

TMLR 2025 SE3Set: Harnessing Equivariant Hypergraph Neural Networks for Molecular Representation Learning Hongfei Wu, Lijun Wu, Guoqing Liu, Zhirong Liu, Bin Shao, Zun Wang

IJCAI 2025 Stochasticity-Aware No-Reference Point Cloud Quality Assessment Songlin Fan, Wei Gao, Zhineng Chen, Ge Li, Guoqing Liu, Qicheng Wang

ICLR 2025 Trusted Multi-View Classification via Evolutionary Multi-View Fusion Xinyan Liang, Pinhan Fu, Yuhua Qian, Qian Guo, Guoqing Liu

ICLR 2024 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

AAAI 2024 Learning Multi-Task Sparse Representation Based on Fisher Information Yayu Zhang, Yuhua Qian, Guoshuai Ma, Keyin Zheng, Guoqing Liu, Qingfu Zhang

ICLRW 2024 Re-Evaluating Retrosynthesis Algorithms with Syntheseus Krzysztof Maziarz, Austin Tripp, Guoqing Liu, Megan Stanley, Shufang Xie, Piotr Gaiński, Philipp Seidl, Marwin Segler

ICMLW 2024 Reinforcement Learning from Bagged Reward Yuting Tang, Xin-Qiang Cai, Yao-Xiang Ding, Qiyu Wu, Guoqing Liu, Masashi Sugiyama

NeurIPS 2024 StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences Shangkun Sun, Jiaming Liu, Huaxia Li, Guoqing Liu, Thomas H Li, Wei Gao

ICML 2024 Token-Level Direct Preference Optimization Yongcheng Zeng, Guoqing Liu, Weiyu Ma, Ning Yang, Haifeng Zhang, Jun Wang

NeurIPS 2023 De Novo Drug Design Using Reinforcement Learning with Multiple GPT Agents Xiuyuan Hu, Guoqing Liu, Yang Zhao, Hao Zhang

NeurIPS 2023 Efficiently Incorporating Quintuple Interactions into Geometric Deep Learning Force Fields Zun Wang, Guoqing Liu, Yichi Zhou, Tong Wang, Bin Shao

ICCV 2023 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

NeurIPSW 2023 Re-Evaluating Retrosynthesis Algorithms with Syntheseus Krzysztof Maziarz, Austin Tripp, Guoqing Liu, Megan Stanley, Shufang Xie, Piotr Gaiński, Philipp Seidl, Marwin Segler

ICML 2023 Retrosynthetic Planning with Dual Value Networks Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu

NeurIPSW 2022 Re-Evaluating Chemical Synthesis Planning Algorithms Austin Tripp, Krzysztof Maziarz, Sarah Lewis, Guoqing Liu, Marwin Segler

IJCAI 2021 Independence-Aware Advantage Estimation Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin, Tie-Yan Liu

ICLR 2021 Return-Based Contrastive Representation Learning for Reinforcement Learning Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Li Jian, Nenghai Yu, Tie-Yan Liu

ICML 2019 Breaking Inter-Layer Co-Adaptation by Classifier Anonymization Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka

AAAI 2019 Trust Region Evolution Strategies Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu

AAAI 2016 Representing Sets of Instances for Visual Recognition Jianxin Wu, Bin-Bin Gao, Guoqing Liu

ACML 2012 Key Instance Detection in Multi-Instance Learning Guoqing Liu, Jianxin Wu, Zhi-Hua Zhou

IJCAI 2011 Probit Classifiers with a Generalized Gaussian Scale Mixture Prior Guoqing Liu, Jianxin Wu, Suiping Zhou