A Dense U-Net with Cross-Layer Intersection for Detection and Localization of Image Forgery. - Rongyu Zhang; Jiangqun Ni (ICASSP, 2020)

Image Quality Assessment with Gradient Siamese Network. - Heng Cong; Lingzhi Fu; Rongyu Zhang; Yusheng Zhang; Hao Wang; Jiarong He; Jin Gao (CVPR Workshops, 2022)

NTIRE 2022 Challenge on Perceptual Image Quality Assessment. - Jinjin Gu; Haoming Cai; Chao Dong 005; Jimmy S. Ren; Radu Timofte; Yuan Gong 002; Shanshan Lao; Shuwei Shi; Jiahao Wang; Sidi Yang; Tianhe Wu; Weihao Xia 001; et al. (CVPR Workshops, 2022)

Multi-Frames Temporal Abnormal Clues Learning Method for Face Anti-Spoofing. - Heng Cong; Rongyu Zhang; Jiarong He; Jin Gao (SEKE, 2022)

Multi-latent Space Alignments for Unsupervised Domain Adaptation in Multi-view 3D Object Detection. - Jiaming Liu 003; Rongyu Zhang; Xiaowei Chi; Xiaoqi Li 009; Ming Lu; Yandong Guo; Shanghang Zhang (CoRR, 2022)

CSCD2: an integrated interactional database of cancer-specific circular RNAs. - Jing Feng 005; Wenbo Chen 006; Xin Dong; Jun Wang 154; Xiangfei Mei; Jin Deng; Siqi Yang; Chenjian Zhuo; Xiaoyu Huang; Lin Shao; Rongyu Zhang; Jing Guo; et al. (Nucleic Acids Res., 2022)

BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks. - Xiaowei Chi; Jiaming Liu 003; Ming Lu; Rongyu Zhang; Zhaoqing Wang; Yandong Guo; Shanghang Zhang (CVPR, 2023)

Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-World. - Yulu Gan; Mingjie Pan; Rongyu Zhang; Zijian Ling; Lingran Zhao; Jiaming Liu 003; Shanghang Zhang (CVPR, 2023)

DFGC-VRA: DeepFake Game Competition on Visual Realism Assessment. - Bo Peng 002; Xianyun Sun; Caiyong Wang; Wei Wang 025; Jing Dong 003; Zhenan Sun; Rongyu Zhang; Heng Cong; Lingzhi Fu; Hao Wang; Yusheng Zhang; Hanyuan Zhang; et al. (IJCB, 2023)

Cluster-driven GNN-based Federated Recommendation with Biased Message Dropout. - Rongyu Zhang; Yun Chen; Chenrui Wu 002; Fangxin Wang 001 (ICME, 2023)

RepCaM: Re-parameterization Content-aware Modulation for Neural Video Delivery. - Rongyu Zhang; Lixuan Du; Jiaming Liu 003; Congcong Song; Fangxin Wang 001; Xiaoqi Li 009; Ming Lu; Yandong Guo; Shanghang Zhang (NOSSDAV, 2023)

Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation. - Rongyu Zhang; Xiaowei Chi; Guiliang Liu; Wenyi Zhang; Yuan Du; Fangxin Wang 001 (CoRR, 2023)

NTIRE 2023 Quality Assessment of Video Enhancement Challenge. - Xiaohong Liu 001; Xiongkuo Min; Wei Sun 029; Yulun Zhang 001; Kai Zhang 008; Radu Timofte; Guangtao Zhai; Yixuan Gao; Yuqin Cao; Tengchuan Kou; Yunlong Dong; Ziheng Jia; et al. (CoRR, 2023)

ChatIllusion: Efficient-Aligning Interleaved Generation ability with Visual Instruction Model. - Xiaowei Chi; Yijiang Liu; Zhengkai Jiang 001; Rongyu Zhang; Ziyi Lin; Renrui Zhang; Peng Gao 007; Chaoyou Fu; Shanghang Zhang; Qifeng Liu; Yike Guo (CoRR, 2023)

Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation. - Rongyu Zhang; Yulin Luo; Jiaming Liu 003; Huanrui Yang; Zhen Dong 003; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Yuan Du; Shanghang Zhang (CoRR, 2023)

Optimizing Efficient Personalized Federated Learning with Hypernetworks at Edge. - Rongyu Zhang; Yun Chen; Chenrui Wu 002; Fangxin Wang 001; Jiangchuan Liu (IEEE Netw., 2023)

A Spatial Information Extraction Method Based on Multi-Modal Social Media Data: A Case Study on Urban Inundation. - Yilong Wu; Yingjie Chen; Rongyu Zhang; Zhenfei Cui; Xinyi Liu; Jiayi Zhang; Meizhen Wang; Yong Wu (ISPRS Int. J. Geo Inf., 2023)

FedAB: Truthful Federated Learning With Auction-Based Combinatorial Multi-Armed Bandit. - Chenrui Wu 002; Yifei Zhu 001; Rongyu Zhang; Yun Chen; Fangxin Wang 001; Shuguang Cui (IEEE Internet Things J., 2023)

Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation. - Rongyu Zhang; Yulin Luo; Jiaming Liu 003; Huanrui Yang; Zhen Dong 003; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Yuan Du; Shanghang Zhang (AAAI, 2024)

Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data. - Ivan DeAndres-Tame; Ruben Tolosana; Pietro Melzi; Rubén Vera-Rodríguez; Minchul Kim; Christian Rathgeb; Xiaoming Liu 002; Aythami Morales; Julian Fiérrez; Javier Ortega-Garcia; Zhizhou Zhong; Yuge Huang; et al. (CVPR Workshops, 2024)

BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection. - Jiaming Liu 003; Rongyu Zhang; Xiaoqi Li 020; Xiaowei Chi; Zehui Chen; Ming Lu; Yandong Guo; Shanghang Zhang (ICRA, 2024)

VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness. - Rongyu Zhang; Zefan Cai; Huanrui Yang; Zidong Liu; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Baobao Chang; Yuan Du; Li Du; Shanghang Zhang (ACM Multimedia, 2024)

VeCAF: VLM-empowered Collaborative Active Finetuning with Training Objective Awareness. - Rongyu Zhang; Zefan Cai; Huanrui Yang; Zidong Liu; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Baobao Chang; Yuan Du; Li Du; Shanghang Zhang (CoRR, 2024)

Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning. - Yijiang Liu; Rongyu Zhang; Huanrui Yang; Kurt Keutzer; Yuan Du; Li Du; Shanghang Zhang (CoRR, 2024)

Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation. - Rongyu Zhang; Aosong Cheng; Yulin Luo; Gaole Dai; Huanrui Yang; Jiaming Liu 003; Ran Xu 013; Li Du; Yuan Du; Yanbing Jiang; Shanghang Zhang (CoRR, 2024)

Implicit Neural Image Field for Biological Microscopy Image Compression. - Gaole Dai; Cheng-Ching Tseng; Qingpo Wuwu; Rongyu Zhang; Shaokang Wang; Ming Lu; Tiejun Huang 001; Yu Zhou; Ali Ata Tuz; Matthias Gunzer; Jianxu Chen 001; Shanghang Zhang (CoRR, 2024)

MMTrail: A Multimodal Trailer Video Dataset with Language and Music Descriptions. - Xiaowei Chi; Yatian Wang; Aosong Cheng; Pengjun Fang; Zeyue Tian; Yingqing He; Zhaoyang Liu 001; Xingqun Qi; Jiahao Pan; Rongyu Zhang; Mengfei Li; Ruibin Yuan; et al. (CoRR, 2024)

FactorLLM: Factorizing Knowledge via Mixture of Experts for Large Language Models. - Zhongyu Zhao; Menghang Dong; Rongyu Zhang; Wenzhao Zheng; Yunpeng Zhang; Huanrui Yang; Dalong Du; Kurt Keutzer; Shanghang Zhang (CoRR, 2024)

EVA: An Embodied World Model for Future Video Anticipation. - Xiaowei Chi; Hengyuan Zhang; Chun-Kai Fan; Xingqun Qi; Rongyu Zhang; Anthony Chen; Chi-Min Chan; Wei Xue 002; Wenhan Luo; Shanghang Zhang; Yike Guo (CoRR, 2024)

Multi-Level Personalized Federated Learning on Heterogeneous and Long-Tailed Data. - Rongyu Zhang; Yun Chen; Chenrui Wu 002; Fangxin Wang 001; Bo Li 001 (IEEE Trans. Mob. Comput., 2024)

PAT: Pruning-Aware Tuning for Large Language Models. - Yijiang Liu; Huanrui Yang; Youxin Chen; Rongyu Zhang; Miao Wang; Yuan Du; Li Du (AAAI, 2025)

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results. - Xiaohong Liu 001; Xiongkuo Min; Qiang Hu 003; Xiaoyun Zhang 001; Jie Guo; Guangtao Zhai; Shushi Wang; Yingjie Zhou 003; Lu Liu 005; Jingxin Li; Liu Yang; Farong Wen; et al. (CVPR Workshops, 2025)

NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment. - Shuhao Han; Haotian Fan; Fangyuan Kong; Wenjie Liao; Chunle Guo; Chongyi Li; Radu Timofte; Liang Li; Tao Li; Junhui Cui; Yunqiu Wang; Yang Tai; et al. (CVPR Workshops, 2025)

Second FRCSyn-onGoing: Winning solutions and post-challenge analysis to improve face recognition with synthetic data. - Ivan DeAndres-Tame; Ruben Tolosana; Pietro Melzi; Rubén Vera-Rodríguez; Minchul Kim; Christian Rathgeb; Xiaoming Liu 002; Luis Felipe Gomez-Gomez; Aythami Morales; Julian Fierrez; Javier Ortega-Garcia; Zhizhou Zhong; et al. (Inf. Fusion, 2025)

FBQuant: FeedBack Quantization for Large Language Models. - Yijiang Liu; Hengyu Fang; Liulu He; Rongyu Zhang; Yichuan Bai; Yuan Du; Li Du (CoRR, 2025)

MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation. - Rongyu Zhang; Menghang Dong; Yuan Zhang 020; Liang Heng; Xiaowei Chi; Gaole Dai; Li Du; Dan Wang 002; Yuan Du; Shanghang Zhang (CoRR, 2025)

NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment. - Shuhao Han; Haotian Fan; Fangyuan Kong; Wenjie Liao; Chunle Guo; Chongyi Li; Radu Timofte; Liang Li; Tao Li; Junhui Cui; Yunqiu Wang; Yang Tai; et al. (CoRR, 2025)

SpikeGen: Generative Framework for Visual Spike Stream Processing. - Gaole Dai; Menghang Dong; Rongyu Zhang; Ruichuan An; Shanghang Zhang; Tie-Jun Huang 001 (CoRR, 2025)

BEVUDA++: Geometric-Aware Unsupervised Domain Adaptation for Multi-View 3D Object Detection. - Rongyu Zhang; Jiaming Liu 003; Xiaoqi Li 009; Xiaowei Chi; Dan Wang 002; Li Du; Yuan Du; Shanghang Zhang (IEEE Trans. Circuits Syst. Video Technol., 2025)

RepCaM++: Exploring Transparent Visual Prompt With Inference-Time Re-Parameterization for Neural Video Delivery. - Rongyu Zhang; Xize Duan; Jiaming Liu 003; Li Du; Yuan Du; Dan Wang 002; Shanghang Zhang; Fangxin Wang 001 (IEEE Trans. Mob. Comput., 2025)