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Xiangxin Zhou

Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
2019 · Zhu, Benjin, Jiang, Zhengkai, et al. · arXiv (Cornell University) · 297
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Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
2019 · Ding, Xiaohan, Ding, Guiguang, et al. · Warwick Research Archive Portal (University of Warwick) · 145
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Semantics-Aware Hidden Markov Model for Human Mobility
2019 · Hongzhi Shi, Yong Li, et al. · IEEE Transactions on Knowledge and Data Engineering · 20
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Implicit Multi-Spectral Transformer: An Lightweight and Effective Visible to Infrared Image Translation Model
2024 · Yijia Chen, Pinghua Chen, et al. · International Joint Conference on Neural Networks (IJCNN) · 19
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Semantics-Aware Hidden Markov Model for Human Mobility
2019 · Hongzhi Shi, Hancheng Cao, et al. · Society for Industrial and Applied Mathematics eBooks · 18
GSLB: The Graph Structure Learning Benchmark
2023 · Zhixun Li, Liang Wang, et al. · neural information processing systems · 14
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OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use
2025 · Xueyu Hu, Tao Xiong, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 9
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OS Agents: A Survey on MLLM-Based Agents for General Computing Devices Use
2024 · Xueyu Hu, Tao Xiong, et al. · Preprints.org · 7
A Study of Using Synthetic Data for Effective Association Knowledge Learning
2023 · Yuchi Liu, Zhongdao Wang, et al. · Machine Intelligence Research · 5
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Contextual Representation Anchor Network for Mitigating Selection Bias in Few-Shot Drug Discovery
2025 · Ruifeng Li, Wei Liu, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 2
Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process
2024 · Zhou, Xiangxin, Wang, Liang, et al. · arXiv (Cornell University) · 1
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Orchestrating LLMs with Specialized Models: A Survey on Heterogeneous Multi-Model Agents
2026 · Zheng Zhang, Nanjie Yao, et al. · Preprints.org
Exploring the Design Space of Reward Backpropagation for Flow Matching
2026 · Wang, Ruoyu, Niu, Boye, et al. · arXiv (Cornell University)
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Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models
2026 · Ping, Bowen, Zhou, Xiangxin, et al. · arXiv (Cornell University)
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Reinforcing Few-step Generators via Reward-Tilted Distribution Matching
2026 · Huang, Yushi, Zhou, Xiangxin, et al. · arXiv (Cornell University)
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Fine-tuning Flow Matching Generative Models with Intermediate Feedback
2025 · Fan, Jiajun, Cheng, Chaoran, et al. · arXiv (Cornell University)
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MIMO-S2OT: A Hybrid Transformer-CNN Network with Dynamic Sparse Attention for SAR-to-Optical Image Translation
2025 · Xiangxin Zhou, Yijia Chen, et al. · IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA)
Reinforcing General Reasoning without Verifiers
2025 · Zhou, Xiangxin, Liu, Zichen, et al. · arXiv (Cornell University)
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UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery
2025 · Li, Ruifeng, Li, Mingqian, et al. · arXiv (Cornell University)
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Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery
2024 · Li, Ruifeng, Liu, Wei, et al. · arXiv (Cornell University)
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Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking
2021 · Liu, Yuchi, Wang, Zhongdao, et al. · arXiv (Cornell University)
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Works count: 22
Citation count: 537
H-index: 7
I10-index: 6
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