Visual exploration of latent space for traditional Chinese music. - Jingyi Shen; Runqi Wang; Han-Wei Shen (Vis. Informatics, 2020)

IDARTS: Interactive Differentiable Architecture Search. - Song Xue; Runqi Wang; Baochang Zhang 001; Tian Wang 002; Guodong Guo; David S. Doermann (ICCV, 2021)

3rd Solution to WAB Challenge: A Two Stage Model Using only Pixel-level Features for Video-Image Retrieval. - Runqi Wang; Wei Zeng; Yuehan Yao (WAB @ ACM Multimedia, 2021)

Cogradient Descent for Dependable Learning. - Runqi Wang; Baochang Zhang 001; Li'an Zhuo; Qixiang Ye; David S. Doermann (CoRR, 2021)

Associative Adversarial Learning Based on Selective Attack. - Runqi Wang; Xiaoyue Duan; Baochang Zhang 001; Song Xue; Wentao Zhu 001; David S. Doermann; Guodong Guo (CoRR, 2021)

Anti-retroactive Interference for Lifelong Learning. - Runqi Wang; Yuxiang Bao; Baochang Zhang 001; Jianzhuang Liu; Wentao Zhu 001; Guodong Guo (ECCV (24), 2022)

MSPCD: predicting circRNA-disease associations via integrating multi-source data and hierarchical neural network. - Lei Deng 002; Dayun Liu; Yizhan Li; Runqi Wang; Junyi Liu; Jiaxuan Zhang; Hui Liu 026 (BMC Bioinform., 2022)

Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation. - Runqi Wang; Linlin Yang; Baochang Zhang 001; Wentao Zhu 001; David S. Doermann; Guodong Guo (CoRR, 2022)

Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning. - Xiaoyue Duan; Guoliang Kang; Runqi Wang; Shumin Han; Song Xue; Tian Wang 002; Baochang Zhang 001 (CoRR, 2022)

Citizen Participation in the Co-Production of Urban Natural Resource Assets: Analysis Based on Social Media Big Data. - Lei Li; Shaojun Ma; Runqi Wang; Yiping Wang; Yilin Zheng (J. Glob. Inf. Manag., 2022)

Data-adaptive binary neural networks for efficient object detection and recognition. - Junhe Zhao; Sheng Xu 007; Runqi Wang; Baochang Zhang 001; Guodong Guo; David S. Doermann; Dianmin Sun (Pattern Recognit. Lett., 2022)

AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning. - Runqi Wang; Xiaoyue Duan; Guoliang Kang; Jianzhuang Liu; Shaohui Lin; Songcen Xu; Jinhu Lv; Baochang Zhang 001 (CVPR, 2023)

Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment. - Runqi Wang; Hao Zheng; Xiaoyue Duan; Jianzhuang Liu; Yuning Lu; Tian Wang 002; Songcen Xu; Baochang Zhang 001 (CVPR, 2023)

Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification. - Hao Zheng; Runqi Wang; Jianzhuang Liu; Asako Kanezaki (ICLR, 2023)

Self-Enhancement Improves Text-Image Retrieval in Foundation Visual-Language Models. - Yuguang Yang 007; Yiming Wang; Shupeng Geng; Runqi Wang; Yimi Wang; Sheng Wu; Baochang Zhang 001 (CoRR, 2023)

Few-Shot Learning with Complex-Valued Neural Networks and Dependable Learning. - Runqi Wang; Zhen Liu; Baochang Zhang 001; Guodong Guo; David S. Doermann (Int. J. Comput. Vis., 2023)

Anti-Bandit for Neural Architecture Search. - Runqi Wang; Linlin Yang; Hanlin Chen; Wei Wang 016; David S. Doermann; Baochang Zhang 001 (Int. J. Comput. Vis., 2023)

AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries. - Runqi Wang; Huixin Sun; Linlin Yang; Shaohui Lin; Chuanjian Liu; Yan Gao 017; Yao Hu 002; Baochang Zhang 001 (AAAI, 2024)

Learning a Dynamic Neural Human via Poses Guided Dual Spaces Feature. - Caoyuan Ma; Runqi Wang; Wu Liu; Ziqiao Zhou; Zheng Wang 007 (AVSS, 2024)

Clinical Brain MRI Super-Resolution with 2D Slice-Wise Diffusion Model. - Runqi Wang; Zehong Cao; Yichu He; Jiameng Liu; Feng Shi 001; Dinggang Shen (MLMI@MICCAI (1), 2024)

TAAT: Think and Act from Arbitrary Texts in Text2Motion. - Runqi Wang; Caoyuan Ma; GuoPeng Li; Zheng Wang (CoRR, 2024)

P4Q: Learning to Prompt for Quantization in Visual-language Models. - Huixin Sun; Runqi Wang; Yanjing Li; Xianbin Cao 001; Xiaolong Jiang; Yao Hu 002; Baochang Zhang 001 (CoRR, 2024)

Single Trajectory Distillation for Accelerating Image and Video Style Transfer. - Sijie Xu; Runqi Wang; Wei Zhu; Dejia Song; Nemo Chen; Xu Tang; Yao Hu 002 (CoRR, 2024)

Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. - Evi M. C. Huijben; Maarten L. Terpstra; Arthur Jr Galapon; Suraj Pai; Adrian Thummerer; Peter Koopmans; Manya Afonso; Maureen A. J. M. van Eijnatten; Oliver J. Gurney-Champion; Zeli Chen; Yiwen Zhang; Kaiyi Zheng; et al. (Medical Image Anal., 2024)

VLMInferSlow: Evaluating the Efficiency Robustness of Large Vision-Language Models as a Service. - Xiasi Wang; Tianliang Yao; Simin Chen; Runqi Wang; Lei Ye; Kuofeng Gao; Yi Huang; Yuan Yao (ACL (1), 2025)

SET: Spectral Enhancement for Tiny Object Detection. - Huixin Sun; Runqi Wang; Yanjing Li; Linlin Yang; Shaohui Lin; Xianbin Cao 001; Baochang Zhang 001 (CVPR, 2025)

DFM: Differentiable Feature Matching for Anomaly Detection. - Sheng Wu; Yimi Wang; Xudong Liu; Yuguang Yang 007; Runqi Wang; Guodong Guo; David S. Doermann; Baochang Zhang 001 (CVPR, 2025)

Method for Acquiring Passenger Standing Positions on Subway Platforms Based on Binocular Vision. - Jing Zuo; Yanchong Wang; Runqi Wang (IEEE Access, 2025)

Enhancing multi-task performance through associative adversarial learning based on selective attacks. - Zhiming Wang; Yuanglong Yang; Bilang Zhang; Runqi Wang; Liping Jing; Baochang Zhang 001 (Neurocomputing, 2025)

DynamicFace: High-Quality and Consistent Video Face Swapping using Composable 3D Facial Priors. - Runqi Wang; Sijie Xu; Tianyao He; Yang Chen; Wei Zhu; Dejia Song; Nemo Chen; Xu Tang; Yao Hu 002 (CoRR, 2025)

Leader and Follower: Interactive Motion Generation under Trajectory Constraints. - Runqi Wang; Caoyuan Ma; Jian Zhao; Hanrui Xu; Dongfang Sun; Haoyang Chen; Lin Xiong; Zheng Wang; Xuelong Li (CoRR, 2025)

Modulated Convolutional Networks. - Baochang Zhang 001; Runqi Wang; Xiaodi Wang; Jungong Han; Rongrong Ji (IEEE Trans. Neural Networks Learn. Syst., 2025)

Flux-Sculptor: Text-Driven Rich-Attribute Portrait Editing through Decomposed Spatial Flow Control. - Tianyao He; Runqi Wang; Yang Chen; Dejia Song; Nemo Chen; Xu Tang; Yao Hu 002 (CoRR, 2025)

Squeeze10-LLM: Squeezing LLMs' Weights by 10 Times via a Staged Mixed-Precision Quantization Method. - Qingcheng Zhu; Yangyang Ren; Linlin Yang; Mingbao Lin; Yanjing Li; Sheng Xu 007; Zichao Feng; Haodong Zhu; Yuguang Yang 007; Juan Zhang; Runqi Wang; Baochang Zhang 001 (CoRR, 2025)

WaveMamba: Wavelet-Driven Mamba Fusion for RGB-Infrared Object Detection. - Haodong Zhu; Wenhao Dong; Linlin Yang; Hong Li 016; Yuguang Yang 007; Yangyang Ren; Qingcheng Zhu; Zichao Feng; Changbai Li; Shaohui Lin; Runqi Wang; Xiaoyan Luo; et al. (CoRR, 2025)

Near-Optimal Regret for Efficient Stochastic Combinatorial Semi-Bandits. - Zichun Ye; Runqi Wang; Xutong Liu; Shuai Li (CoRR, 2025)