Global Sparse Momentum SGD for Pruning Very Deep Neural Networks. - Xiaohan Ding; Guiguang Ding; Xiangxin Zhou; Yuchen Guo; Jungong Han; Ji Liu 002 (NeurIPS, 2019)

Semantics-Aware Hidden Markov Model for Human Mobility. - Hongzhi Shi; Hancheng Cao; Xiangxin Zhou; Yong Li 008; Chao Zhang 014; Vassilis Kostakos; Funing Sun; Fanchao Meng (SDM, 2019)

Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection. - Benjin Zhu; Zhengkai Jiang 001; Xiangxin Zhou; Zeming Li; Gang Yu 002 (CoRR, 2019)

Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking. - Yuchi Liu; Zhongdao Wang; Xiangxin Zhou; Liang Zheng 001 (CoRR, 2021)

Semantics-Aware Hidden Markov Model for Human Mobility. - Hongzhi Shi; Yong Li 008; Hancheng Cao; Xiangxin Zhou; Chao Zhang 014; Vassilis Kostakos (IEEE Trans. Knowl. Data Eng., 2021)

DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design. - Jiaqi Guan; Xiangxin Zhou; Yuwei Yang; Yu Bao; Jian Peng 001; Jianzhu Ma; Qiang Liu 006; Liang Wang 001; Quanquan Gu (ICML, 2023)

GSLB: The Graph Structure Learning Benchmark. - Zhixun Li; Xin Sun; Yifan Luo; Yanqiao Zhu 001; Dingshuo Chen; Yingtao Luo; Xiangxin Zhou; Qiang Liu 006; Shu Wu; Liang Wang 001; Jeffrey Xu Yu (NeurIPS, 2023)

GSLB: The Graph Structure Learning Benchmark. - Zhixun Li; Liang Wang 056; Xin Sun; Yifan Luo; Yanqiao Zhu 001; Dingshuo Chen; Yingtao Luo; Xiangxin Zhou; Qiang Liu 006; Shu Wu; Liang Wang 001; Jeffrey Xu Yu (CoRR, 2023)

A Study of Using Synthetic Data for Effective Association Knowledge Learning. - Yuchi Liu; Zhongdao Wang; Xiangxin Zhou; Liang Zheng 001 (Mach. Intell. Res., 2023)

Binding-Adaptive Diffusion Models for Structure-Based Drug Design. - Zhilin Huang; Ling Yang 006; Zaixi Zhang; Xiangxin Zhou; Yu Bao; Xiawu Zheng; Yuwei Yang; Yu Wang; Wenming Yang (AAAI, 2024)

Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models. - Zhilin Huang; Ling Yang 006; Xiangxin Zhou; Zhilong Zhang; Wentao Zhang 001; Xiawu Zheng; Jie Chen 001; Yu Wang; Bin Cui 001; Wenming Yang (ICLR, 2024)

DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization. - Xiangxin Zhou; Xiwei Cheng; Yuwei Yang; Yu Bao; Liang Wang 001; Quanquan Gu (ICLR, 2024)

Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation. - Zhilin Huang; Ling Yang 006; Xiangxin Zhou; Chujun Qin; Yijie Yu 001; Xiawu Zheng; Zikun Zhou; Wentao Zhang 001; Yu Wang; Wenming Yang (ICML, 2024)

Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process. - Xiangxin Zhou; Liang Wang 001; Yichi Zhou (ICML, 2024)

Implicit Multi-Spectral Transformer: An Lightweight and Effective Visible to Infrared Image Translation Model. - Yijia Chen; Pinghua Chen; Xiangxin Zhou; Yingtie Lei; Ziyang Zhou 001; Mingxian Li (IJCNN, 2024)

Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design. - Xiangxin Zhou; Jiaqi Guan; Yijia Zhang; Xingang Peng; Liang Wang 001; Jianzhu Ma (NeurIPS, 2024)

Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization. - Xiangxin Zhou; Dongyu Xue; Ruizhe Chen; Zaixiang Zheng; Liang Wang 001; Quanquan Gu (NeurIPS, 2024)

Bridging Text and Molecule: A Survey on Multimodal Frameworks for Molecule. - Yi Xiao; Xiangxin Zhou; Qiang Liu 006; Liang Wang 001 (CoRR, 2024)

Decomposed Direct Preference Optimization for Structure-Based Drug Design. - Xiwei Cheng; Xiangxin Zhou; Yuwei Yang; Yu Bao; Quanquan Gu (CoRR, 2024)

Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery. - Ruifeng Li; Wei Liu; Xiangxin Zhou; Mingqian Li; Qiang Zhang 026; Hongyang Chen; Xuemin Lin 001 (CoRR, 2024)

OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use. - Xueyu Hu; Tao Xiong; Biao Yi; Zishu Wei; Ruixuan Xiao; Yurun Chen 004; Jiasheng Ye; Meiling Tao; Xiangxin Zhou; Ziyu Zhao 001; Yuhuai Li; Shengze Xu; et al. (ACL (1), 2025)

Group Ligands Docking to Protein Pockets. - Jiaqi Guan; Jiahan Li; Xiangxin Zhou; Xingang Peng; Sheng Wang 001; Yunan Luo; Jian Peng 001; Jianzhu Ma (ICLR, 2025)

UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery. - Ruifeng Li; Mingqian Li; Wei Liu; Yuhua Zhou; Xiangxin Zhou; Yuan Yao; Qiang Zhang 026; Hongyang Chen (ICLR, 2025)

ProteinBench: A Holistic Evaluation of Protein Foundation Models. - Fei Ye; Zaixiang Zheng; Dongyu Xue; Yuning Shen; Lihao Wang; Yiming Ma; Yan Wang; Xinyou Wang; Xiangxin Zhou; Quanquan Gu (ICLR, 2025)

Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows. - Xiangxin Zhou; Yi Xiao; Haowei Lin; Xinheng He; Jiaqi Guan; Yang Wang; Qiang Liu; Feng Zhou; Liang Wang; Jianzhu Ma (ICLR, 2025)

An All-Atom Generative Model for Designing Protein Complexes. - Ruizhe Chen; Dongyu Xue; Xiangxin Zhou; Zaixiang Zheng; Xiangxiang Zeng; Quanquan Gu (CoRR, 2025)

Designing Cyclic Peptides via Harmonic SDE with Atom-Bond Modeling. - Xiangxin Zhou; Mingyu Li; Yi Xiao; Jiahan Li; Dongyu Xue; Zaixiang Zheng; Jianzhu Ma; Quanquan Gu (CoRR, 2025)

Reinforcing General Reasoning without Verifiers. - Xiangxin Zhou; Zichen Liu; Anya Sims; Haonan Wang; Tianyu Pang; Chongxuan Li; Liang Wang; Min Lin; Chao Du (CoRR, 2025)

Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training. - Minghao Xu; Jiaze Song; Keming Wu; Xiangxin Zhou; Bin Cui 001; Wentao Zhang 001 (CoRR, 2025)

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use. - Xueyu Hu; Tao Xiong; Biao Yi; Zishu Wei; Ruixuan Xiao; Yurun Chen 004; Jiasheng Ye; Meiling Tao; Xiangxin Zhou; Ziyu Zhao 001; Yuhuai Li; Shengze Xu; et al. (CoRR, 2025)