Xiangxin Zhou

54 papers A* 17A 2B 1Journal 33Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Rethinking the Trust Region in LLM Reinforcement Learning.
CoRR
Penghui Qi, Xiangxin Zhou, Zichen Liu, Tianyu Pang, Chao Du, Min Lin, Wee Sun Lee
2025 A* conf
An All-Atom Generative Model for Designing Protein Complexes.
ICML
Ruizhe Chen, Dongyu Xue, Xiangxin Zhou, Zaixiang Zheng, Xiangxiang Zeng, Quanquan Gu
2025 J jnl
An All-Atom Generative Model for Designing Protein Complexes.
CoRR
Ruizhe Chen, Dongyu Xue, Xiangxin Zhou, Zaixiang Zheng, Xiangxiang Zeng, Quanquan Gu
2025 J jnl
ChemBOMAS: Accelerated BO in Chemistry with LLM-Enhanced Multi-Agent System.
CoRR
Dong Han, Zhehong Ai, Pengxiang Cai, Shuzhou Sun, Shanya Lu, Jianpeng Chen, Ben Gao, Lingli Ge, Weida Wang, Xiangxin Zhou, Xihui Liu, Mao Su, Wanli Ouyang, Lei Bai, Dongzhan Zhou, Tao Xu, Yuqiang Li, Shufei Zhang
2025 A conf
Contextual Representation Anchor Network for Mitigating Selection Bias in Few-Shot Drug Discovery.
CIKM
Ruifeng Li, Wei Liu, Xiangxin Zhou, Mingqian Li, Qiang Zhang, Hongyang Chen, Xuemin Lin
2025 J jnl
Decomposed Direct Preference Optimization for Structure-Based Drug Design.
Trans. Mach. Learn. Res.
Xiwei Cheng, Xiangxin Zhou, Yuwei Yang, Yu Bao, Quanquan Gu
2025 J jnl
Defeating the Training-Inference Mismatch via FP16.
CoRR
Penghui Qi, Zichen Liu, Xiangxin Zhou, Tianyu Pang, Chao Du, Wee Sun Lee, Min Lin
2025 A* conf
Designing Cyclic Peptides via Harmonic SDE with Atom-Bond Modeling.
ICML
Xiangxin Zhou, Mingyu Li, Yi Xiao, Jiahan Li, Dongyu Xue, Zaixiang Zheng, Jianzhu Ma, Quanquan Gu
2025 J jnl
Designing Cyclic Peptides via Harmonic SDE with Atom-Bond Modeling.
CoRR
Xiangxin Zhou, Mingyu Li, Yi Xiao, Jiahan Li, Dongyu Xue, Zaixiang Zheng, Jianzhu Ma, Quanquan Gu
2025 J jnl
Fine-tuning Flow Matching Generative Models with Intermediate Feedback.
CoRR
Jiajun Fan, Chaoran Cheng, Shuaike Shen, Xiangxin Zhou, Ge Liu
2025 J jnl
GEM: A Gym for Agentic LLMs.
CoRR
Zichen Liu, Anya Sims, Keyu Duan, Changyu Chen, Simon Yu, Xiangxin Zhou, Haotian Xu, Shaopan Xiong, Bo Liu, Chenmien Tan, Chuen Yang Beh, Weixun Wang, Hao Zhu, Weiyan Shi, Diyi Yang, Michael Shieh, Yee Whye Teh, Wee Sun Lee, Min Lin
2025 A* conf
Group Ligands Docking to Protein Pockets.
ICLR
Jiaqi Guan, Jiahan Li, Xiangxin Zhou, Xingang Peng, Sheng Wang, Yunan Luo, Jian Peng, Jianzhu Ma
2025 J jnl
Group Ligands Docking to Protein Pockets.
CoRR
Jiaqi Guan, Jiahan Li, Xiangxin Zhou, Xingang Peng, Sheng Wang, Yunan Luo, Jian Peng, Jianzhu Ma
2025 A* conf
Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows.
ICLR
Xiangxin Zhou, Yi Xiao, Haowei Lin, Xinheng He, Jiaqi Guan, Yang Wang, Qiang Liu, Feng Zhou, Liang Wang, Jianzhu Ma
2025 J jnl
Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows.
CoRR
Xiangxin Zhou, Yi Xiao, Haowei Lin, Xinheng He, Jiaqi Guan, Yang Wang, Qiang Liu, Feng Zhou, Liang Wang, Jianzhu Ma
2025 A* conf
Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training.
ICML
Minghao Xu, Jiaze Song, Keming Wu, Xiangxin Zhou, Bin Cui, Wentao Zhang
2025 J jnl
Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training.
CoRR
Minghao Xu, Jiaze Song, Keming Wu, Xiangxin Zhou, Bin Cui, Wentao Zhang
2025 — conf
OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use.
ACL (1)
Xueyu Hu, Tao Xiong, Biao Yi, Zishu Wei, Ruixuan Xiao, Yurun Chen, Jiasheng Ye, Meiling Tao, Xiangxin Zhou, Ziyu Zhao, Yuhuai Li, Shengze Xu, Shenzhi Wang, Xinchen Xu, Shuofei Qiao, Zhaokai Wang, Kun Kuang, Tieyong Zeng, Liang Wang, Jiwei Li, Yuchen Eleanor Jiang, Wangchunshu Zhou, Guoyin Wang, Keting Yin, Zhou Zhao, Hongxia Yang, Fan Wu, Shengyu Zhang, Fei Wu
2025 J jnl
OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use.
CoRR
Xueyu Hu, Tao Xiong, Biao Yi, Zishu Wei, Ruixuan Xiao, Yurun Chen, Jiasheng Ye, Meiling Tao, Xiangxin Zhou, Ziyu Zhao, Yuhuai Li, Shengze Xu, Shenzhi Wang, Xinchen Xu, Shuofei Qiao, Zhaokai Wang, Kun Kuang, Tieyong Zeng, Liang Wang, Jiwei Li, Yuchen Eleanor Jiang, Wangchunshu Zhou, Guoyin Wang, Keting Yin, Zhou Zhao, Hongxia Yang, Fan Wu, Shengyu Zhang, Fei Wu
2025 A* conf
ProteinBench: A Holistic Evaluation of Protein Foundation Models.
ICLR
Fei Ye, Zaixiang Zheng, Dongyu Xue, Yuning Shen, Lihao Wang, Yiming Ma, Yan Wang, Xinyou Wang, Xiangxin Zhou, Quanquan Gu
2025 J jnl
Reinforcing General Reasoning without Verifiers.
CoRR
Xiangxin Zhou, Zichen Liu, Anya Sims, Haonan Wang, Tianyu Pang, Chongxuan Li, Liang Wang, Min Lin, Chao Du
2025 J jnl
Riemannian Consistency Model.
CoRR
Chaoran Cheng, Yusong Wang, Yuxin Chen, Xiangxin Zhou, Nanning Zheng, Ge Liu
2025 A* conf
UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery.
ICLR
Ruifeng Li, Mingqian Li, Wei Liu, Yuhua Zhou, Xiangxin Zhou, Yuan Yao, Qiang Zhang, Hongyang Chen
2025 J jnl
UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery.
CoRR
Ruifeng Li, Mingqian Li, Wei Liu, Yuhua Zhou, Xiangxin Zhou, Yuan Yao, Qiang Zhang, Hongyang Chen
2025 J jnl
Variational Reasoning for Language Models.
CoRR
Xiangxin Zhou, Zichen Liu, Haonan Wang, Chao Du, Min Lin, Chongxuan Li, Liang Wang, Tianyu Pang
2024 A* conf
Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization.
NeurIPS
Xiangxin Zhou, Dongyu Xue, Ruizhe Chen, Zaixiang Zheng, Liang Wang, Quanquan Gu
2024 J jnl
Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization.
CoRR
Xiangxin Zhou, Dongyu Xue, Ruizhe Chen, Zaixiang Zheng, Liang Wang, Quanquan Gu
2024 A* conf
Binding-Adaptive Diffusion Models for Structure-Based Drug Design.
AAAI
Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang
2024 J jnl
Binding-Adaptive Diffusion Models for Structure-Based Drug Design.
CoRR
Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang
2024 J jnl
Bridging Text and Molecule: A Survey on Multimodal Frameworks for Molecule.
CoRR
Yi Xiao, Xiangxin Zhou, Qiang Liu, Liang Wang
2024 J jnl
Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery.
CoRR
Ruifeng Li, Wei Liu, Xiangxin Zhou, Mingqian Li, Qiang Zhang, Hongyang Chen, Xuemin Lin
2024 J jnl
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design.
CoRR
Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu
2024 A* conf
DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization.
ICLR
Xiangxin Zhou, Xiwei Cheng, Yuwei Yang, Yu Bao, Liang Wang, Quanquan Gu
2024 J jnl
DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization.
CoRR
Xiangxin Zhou, Xiwei Cheng, Yuwei Yang, Yu Bao, Liang Wang, Quanquan Gu
2024 J jnl
Decomposed Direct Preference Optimization for Structure-Based Drug Design.
CoRR
Xiwei Cheng, Xiangxin Zhou, Yuwei Yang, Yu Bao, Quanquan Gu
2024 B conf
Implicit Multi-Spectral Transformer: An Lightweight and Effective Visible to Infrared Image Translation Model.
IJCNN
Yijia Chen, Pinghua Chen, Xiangxin Zhou, Yingtie Lei, Ziyang Zhou, Mingxian Li
2024 J jnl
Implicit Multi-Spectral Transformer: An Lightweight and Effective Visible to Infrared Image Translation Model.
CoRR
Yijia Chen, Pinghua Chen, Xiangxin Zhou, Yingtie Lei, Ziyang Zhou, Mingxian Li
2024 A* conf
Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation.
ICML
Zhilin Huang, Ling Yang, Xiangxin Zhou, Chujun Qin, Yijie Yu, Xiawu Zheng, Zikun Zhou, Wentao Zhang, Yu Wang, Wenming Yang
2024 A* conf
Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models.
ICLR
Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui, Wenming Yang
2024 J jnl
ProteinBench: A Holistic Evaluation of Protein Foundation Models.
CoRR
Fei Ye, Zaixiang Zheng, Dongyu Xue, Yuning Shen, Lihao Wang, Yiming Ma, Yan Wang, Xinyou Wang, Xiangxin Zhou, Quanquan Gu
2024 A* conf
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design.
NeurIPS
Xiangxin Zhou, Jiaqi Guan, Yijia Zhang, Xingang Peng, Liang Wang, Jianzhu Ma
2024 J jnl
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design.
CoRR
Xiangxin Zhou, Jiaqi Guan, Yijia Zhang, Xingang Peng, Liang Wang, Jianzhu Ma
2024 A* conf
Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process.
ICML
Xiangxin Zhou, Liang Wang, Yichi Zhou
2024 J jnl
Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process.
CoRR
Xiangxin Zhou, Liang Wang, Yichi Zhou
2023 J jnl
A Study of Using Synthetic Data for Effective Association Knowledge Learning.
Mach. Intell. Res.
Yuchi Liu, Zhongdao Wang, Xiangxin Zhou, Liang Zheng
2023 A* conf
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design.
ICML
Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu
2023 A* conf
GSLB: The Graph Structure Learning Benchmark.
NeurIPS
Zhixun Li, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu
2023 J jnl
GSLB: The Graph Structure Learning Benchmark.
CoRR
Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu
2021 J jnl
Semantics-Aware Hidden Markov Model for Human Mobility.
IEEE Trans. Knowl. Data Eng.
Hongzhi Shi, Yong Li, Hancheng Cao, Xiangxin Zhou, Chao Zhang, Vassilis Kostakos
2021 J jnl
Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking.
CoRR
Yuchi Liu, Zhongdao Wang, Xiangxin Zhou, Liang Zheng
2019 J jnl
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection.
CoRR
Benjin Zhu, Zhengkai Jiang, Xiangxin Zhou, Zeming Li, Gang Yu
2019 A* conf
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks.
NeurIPS
Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Jungong Han, Ji Liu
2019 J jnl
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks.
CoRR
Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Ji Liu, Jungong Han
2019 A conf
Semantics-Aware Hidden Markov Model for Human Mobility.
SDM
Hongzhi Shi, Hancheng Cao, Xiangxin Zhou, Yong Li, Chao Zhang, Vassilis Kostakos, Funing Sun, Fanchao Meng