VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL
Kyoungjun Park, Yifan Yang, Juheon Yi, Shicheng Zheng, Yifei Shen, Dongqi Han, Caihua Shan, Muhammad Muaz, Lili Qiu
ICLR 2026 | April 2026
Caihua Shan
Senior Researcher
Publications
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Chain-of-Model Learning for Language Model
Kaitao Song, Xiaohua Wang, Xu Tan, Huiqiang Jiang, Chengruidong Zhang, Yongliang Shen, LU Cen, Li, Zifan Song, Caihua Shan, Yansen Wang, Kan Ren, Xiaoqing Zheng, Tao Qin, Yuqing Yang, Dongsheng Li, Lili Qiu
NeurIPS 2025 | May 2025
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Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning
Zehui Li, Vallijah Subasri, Yifei Shen, Dongsheng Li, Yiren Zhao, Guy-Bart Stan, Caihua Shan
NeurIPS 2025 | February 2025
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When Do LLMs Help With Node Classification? A Comprehensive Analysis
Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, Hong Cheng
ICML 2025 | February 2025
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Can Graph Learning Improve Task Planning?
Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
NeurIPS 2024 | December 2024
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Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach
Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Chencheng Zhang, V. Vardhanabhuti, Dongsheng Li, Lili Qiu
NPJ Parkinson's Disease | December 2024, Vol 10
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Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
Kai Wang, Siqiang Luo, Caihua Shan, Yifei Shen
NeurIPS 2025 | October 2024
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Training-free Multi-objective Diffusion Model for 3D Molecule Generation
Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li
ICLR 2024 | April 2024
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CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
ICML 2023 | August 2023
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Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
WWW 23 | April 2023
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Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li
AAAI 2023 | February 2023
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RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation
Yao Zhang, Yun Xiong, Yiheng Sun, Caihua Shan, Tian Lu, Hui Song, Yangyong Zhu
CIKM 2022 | October 2022
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CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
KDD 2022 | August 2022
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CLARE: A Semi-supervised Community Detection Algorithm
Xixi Wu, Yao Zhang, Yun Xiong, Yizhu Jiao, Caihua Shan, Yangyong Zhu, Philip S Yu
KDD 2022 | August 2022
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Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
ICML 2022 | July 2022
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RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li
CVPR 2022 | June 2022
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Recognizing Vector Graphics without Rasterization
Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
NeurIPS 2021 | December 2021
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Reinforcement Learning Enhanced Explainer for Graph Neural Networks
Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
NeurIPS 2021 | December 2021
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How Powerful is Graph Convolution for Recommendation?
Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled Ben Letaief, Dongsheng Li
Conference on Information and Knowledge Management (Oral) | November 2021
Project: Inductive bias in neural architectures
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CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
2021 Conference on Information and Knowledge Management | October 2021
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How Powerful is Graph Convolution for Recommendation
Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li
2021 Conference on Information and Knowledge Management | October 2021
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VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL
Kyoungjun Park, Yifan Yang, Juheon Yi, Shicheng Zheng, Yifei Shen, Dongqi Han, Caihua Shan, Muhammad Muaz, Lili Qiu
ICLR 2026 | April 2026
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Chain-of-Model Learning for Language Model
Kaitao Song, Xiaohua Wang, Xu Tan, Huiqiang Jiang, Chengruidong Zhang, Yongliang Shen, LU Cen, Li, Zifan Song, Caihua Shan, Yansen Wang, Kan Ren, Xiaoqing Zheng, Tao Qin, Yuqing Yang, Dongsheng Li, Lili Qiu
NeurIPS 2025 | May 2025
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Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning
Zehui Li, Vallijah Subasri, Yifei Shen, Dongsheng Li, Yiren Zhao, Guy-Bart Stan, Caihua Shan
NeurIPS 2025 | February 2025
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When Do LLMs Help With Node Classification? A Comprehensive Analysis
Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, Hong Cheng
ICML 2025 | February 2025
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Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach
Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Chencheng Zhang, V. Vardhanabhuti, Dongsheng Li, Lili Qiu
NPJ Parkinson's Disease | December 2024, Vol 10
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Can Graph Learning Improve Task Planning?
Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
NeurIPS 2024 | December 2024
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Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
Kai Wang, Siqiang Luo, Caihua Shan, Yifei Shen
NeurIPS 2025 | October 2024
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Training-free Multi-objective Diffusion Model for 3D Molecule Generation
Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li
ICLR 2024 | April 2024
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CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
ICML 2023 | August 2023
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Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
WWW 23 | April 2023
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Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li
AAAI 2023 | February 2023
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RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation
Yao Zhang, Yun Xiong, Yiheng Sun, Caihua Shan, Tian Lu, Hui Song, Yangyong Zhu
CIKM 2022 | October 2022
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CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
KDD 2022 | August 2022
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Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
ICML 2022 | July 2022
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Reinforcement Learning Enhanced Explainer for Graph Neural Networks
Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
NeurIPS 2021 | December 2021
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Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning
Zehui Li, Vallijah Subasri, Yifei Shen, Dongsheng Li, Yiren Zhao, Guy-Bart Stan, Caihua Shan
NeurIPS 2025 | February 2025
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Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
WWW 23 | April 2023
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CLARE: A Semi-supervised Community Detection Algorithm
Xixi Wu, Yao Zhang, Yun Xiong, Yizhu Jiao, Caihua Shan, Yangyong Zhu, Philip S Yu
KDD 2022 | August 2022
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How Powerful is Graph Convolution for Recommendation
Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li
2021 Conference on Information and Knowledge Management | October 2021
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CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
2021 Conference on Information and Knowledge Management | October 2021
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How Powerful is Graph Convolution for Recommendation?
Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled Ben Letaief, Dongsheng Li
Conference on Information and Knowledge Management (Oral) | November 2021
Project: Inductive bias in neural architectures
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How Powerful is Graph Convolution for Recommendation
Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li
2021 Conference on Information and Knowledge Management | October 2021
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CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
2021 Conference on Information and Knowledge Management | October 2021
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RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li
CVPR 2022 | June 2022
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Recognizing Vector Graphics without Rasterization
Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
NeurIPS 2021 | December 2021
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VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL
Kyoungjun Park, Yifan Yang, Juheon Yi, Shicheng Zheng, Yifei Shen, Dongqi Han, Caihua Shan, Muhammad Muaz, Lili Qiu
ICLR 2026 | April 2026
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Chain-of-Model Learning for Language Model
Kaitao Song, Xiaohua Wang, Xu Tan, Huiqiang Jiang, Chengruidong Zhang, Yongliang Shen, LU Cen, Li, Zifan Song, Caihua Shan, Yansen Wang, Kan Ren, Xiaoqing Zheng, Tao Qin, Yuqing Yang, Dongsheng Li, Lili Qiu
NeurIPS 2025 | May 2025
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Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning
Zehui Li, Vallijah Subasri, Yifei Shen, Dongsheng Li, Yiren Zhao, Guy-Bart Stan, Caihua Shan
NeurIPS 2025 | February 2025
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When Do LLMs Help With Node Classification? A Comprehensive Analysis
Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, Hong Cheng
ICML 2025 | February 2025
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Can Graph Learning Improve Task Planning?
Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
NeurIPS 2024 | December 2024
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Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
Kai Wang, Siqiang Luo, Caihua Shan, Yifei Shen
NeurIPS 2025 | October 2024
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Training-free Multi-objective Diffusion Model for 3D Molecule Generation
Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li
ICLR 2024 | April 2024
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CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
ICML 2023 | August 2023
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Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
WWW 23 | April 2023
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Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li
AAAI 2023 | February 2023
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RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation
Yao Zhang, Yun Xiong, Yiheng Sun, Caihua Shan, Tian Lu, Hui Song, Yangyong Zhu
CIKM 2022 | October 2022
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CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
KDD 2022 | August 2022
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CLARE: A Semi-supervised Community Detection Algorithm
Xixi Wu, Yao Zhang, Yun Xiong, Yizhu Jiao, Caihua Shan, Yangyong Zhu, Philip S Yu
KDD 2022 | August 2022
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Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
ICML 2022 | July 2022
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RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li
CVPR 2022 | June 2022
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Reinforcement Learning Enhanced Explainer for Graph Neural Networks
Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
NeurIPS 2021 | December 2021
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Recognizing Vector Graphics without Rasterization
Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
NeurIPS 2021 | December 2021
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How Powerful is Graph Convolution for Recommendation?
Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled Ben Letaief, Dongsheng Li
Conference on Information and Knowledge Management (Oral) | November 2021
Project: Inductive bias in neural architectures
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How Powerful is Graph Convolution for Recommendation
Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li
2021 Conference on Information and Knowledge Management | October 2021
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CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
2021 Conference on Information and Knowledge Management | October 2021
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Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach
Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Chencheng Zhang, V. Vardhanabhuti, Dongsheng Li, Lili Qiu
NPJ Parkinson's Disease | December 2024, Vol 10
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