On the study of predictors in Single Shot Multibox Detector. - Xuemei Xie; Xun Xu; Lihua Ma; Guangming Shi; Pengfei Chen 003 (ICVIP, 2017)

QoE Evaluation for Live Broadcasting Video. - Pengfei Chen 003; Leida Li; Yipo Huang; Fengfeng Tan; Wenjun Chen (ICIP, 2019)

Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels. - Pengfei Chen 003; Benben Liao; Guangyong Chen; Shengyu Zhang 002 (ICML, 2019)

Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks. - Guangyong Chen; Pengfei Chen 003; Yujun Shi; Chang-Yu Hsieh; Benben Liao; Shengyu Zhang 002 (CoRR, 2019)

Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction. - Hongyao Tang; Jianye Hao; Guangyong Chen; Pengfei Chen 003; Zhaopeng Meng; Yaodong Yang 002; Li Wang (CoRR, 2019)

Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization. - Pengfei Chen 003; Weiwen Liu; Chang-Yu Hsieh; Guangyong Chen; Shengyu Zhang 002 (CoRR, 2019)

A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR. - Pengfei Chen 003; Benben Liao; Guangyong Chen; Shengyu Zhang 002 (CoRR, 2019)

Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models. - Guangyong Chen; Pengfei Chen 003; Chang-Yu Hsieh; Chee-Kong Lee; Benben Liao; Renjie Liao; Weiwen Liu; Jiezhong Qiu; Qiming Sun; Jie Tang 001; Richard S. Zemel; Shengyu Zhang 002 (CoRR, 2019)

Blind quality index for tone-mapped images based on luminance partition. - Pengfei Chen 003; Leida Li; Xinfeng Zhang 001; Shanshe Wang; Allen Tan (Pattern Recognit., 2019)

RIRNet: Recurrent-In-Recurrent Network for Video Quality Assessment. - Pengfei Chen 003; Leida Li; Lei Ma 003; Jinjian Wu; Guangming Shi (ACM Multimedia, 2020)

Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise. - Pengfei Chen 003; Junjie Ye; Guangyong Chen; Jingwei Zhao; Pheng-Ann Heng (AAAI, 2021)

Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels. - Pengfei Chen 003; Junjie Ye; Guangyong Chen; Jingwei Zhao; Pheng-Ann Heng (AAAI, 2021)

Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. - Hongyao Tang; Zhaopeng Meng; Guangyong Chen; Pengfei Chen 003; Chen Chen 077; Yaodong Yang 002; Luo Zhang; Wulong Liu; Jianye Hao (AAAI, 2021)

Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment. - Pengfei Chen 003; Leida Li; Jinjian Wu; Weisheng Dong; Guangming Shi (ICCV, 2021)

Noise against noise: stochastic label noise helps combat inherent label noise. - Pengfei Chen 003; Guangyong Chen; Junjie Ye; Jingwei Zhao; Pheng-Ann Heng (ICLR, 2021)

Temporal Reasoning Guided QoE Evaluation for Mobile Live Video Broadcasting. - Pengfei Chen 003; Leida Li; Jinjian Wu; Yabin Zhang 002; Weisi Lin (IEEE Trans. Image Process., 2021)

Acknowledging the Unknown for Multi-label Learning with Single Positive Labels. - Donghao Zhou; Pengfei Chen 003; Qiong Wang 001; Guangyong Chen; Pheng-Ann Heng (ECCV (24), 2022)

Semantic Attribute Guided Image Aesthetics Assessment. - Jiachen Duan; Pengfei Chen 003; Leida Li; Jinjian Wu; Guangming Shi (VCIP, 2022)

SPIQ: A Self-Supervised Pre-Trained Model for Image Quality Assessment. - Pengfei Chen 003; Leida Li; Qingbo Wu 001; Jinjian Wu (IEEE Signal Process. Lett., 2022)

Blind Image Quality Assessment for Authentic Distortions by Intermediary Enhancement and Iterative Training. - Tianshu Song; Leida Li; Pengfei Chen 003; Hantao Liu; Jiansheng Qian (IEEE Trans. Circuits Syst. Video Technol., 2022)

Contrastive Self-Supervised Pre-Training for Video Quality Assessment. - Pengfei Chen 003; Leida Li; Jinjian Wu; Weisheng Dong; Guangming Shi (IEEE Trans. Image Process., 2022)

From Whole Video to Frames: Weakly-Supervised Domain Adaptive Continuous-Time QoE Evaluation. - Leida Li; Pengfei Chen 003; Weisi Lin; Mai Xu; Guangming Shi (IEEE Trans. Image Process., 2022)

Robust Medical Image Classification From Noisy Labeled Data With Global and Local Representation Guided Co-Training. - Cheng Xue; Lequan Yu; Pengfei Chen 003; Qi Dou 001; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2022)

Attribute-assisted Multimodal Network for Image Aesthetics Assessment. - Tong Zhu 003; Leida Li; Pengfei Chen 003; Jinjian Wu; Yuzhe Yang 001; Yaqian Li; Yandong Guo (ICME, 2023)

AesCLIP: Multi-Attribute Contrastive Learning for Image Aesthetics Assessment. - Xiangfei Sheng; Leida Li; Pengfei Chen 003; Jinjian Wu; Weisheng Dong; Yuzhe Yang 001; Liwu Xu; Yaqian Li; Guangming Shi (ACM Multimedia, 2023)

Personalized Image Aesthetics Assessment with Attribute-guided Fine-grained Feature Representation. - Hancheng Zhu; Zhiwen Shao; Yong Zhou 003; Guangcheng Wang; Pengfei Chen 003; Leida Li (ACM Multimedia, 2023)

Technical Quality-Assisted Image Aesthetics Quality Assessment. - Xiangfei Sheng; Leida Li; Pengfei Chen 003; Jinjian Wu; Liwu Xu; Yuzhe Yang 001; Yaqian Li (PRCV (11), 2023)

Dynamic Expert-Knowledge Ensemble for Generalizable Video Quality Assessment. - Pengfei Chen 003; Leida Li; Haoliang Li; Jinjian Wu; Weisheng Dong; Guangming Shi (IEEE Trans. Circuits Syst. Video Technol., 2023)

Image Aesthetics Assessment With Attribute-Assisted Multimodal Memory Network. - Leida Li; Tong Zhu 003; Pengfei Chen 003; Yuzhe Yang 001; Yaqian Li; Weisi Lin (IEEE Trans. Circuits Syst. Video Technol., 2023)

NTIRE 2024 Quality Assessment of AI-Generated Content Challenge. - Xiaohong Liu 001; Xiongkuo Min; Guangtao Zhai; Chunyi Li; Tengchuan Kou; Wei Sun 029; Haoning Wu 001; Yixuan Gao; Yuqin Cao; Zicheng Zhang; Xiele Wu; Radu Timofte; et al. (CVPR Workshops, 2024)

Semantics-Aware Image Aesthetics Assessment using Tag Matching and Contrastive Ranking. - Zhichao Yang 013; Leida Li; Pengfei Chen 003; Jinjian Wu; Weisheng Dong (ACM Multimedia, 2024)

AesExpert: Towards Multi-modality Foundation Model for Image Aesthetics Perception. - Yipo Huang; Xiangfei Sheng; Zhichao Yang 013; Quan Yuan; Zhichao Duan 002; Pengfei Chen 003; Leida Li; Weisi Lin; Guangming Shi (ACM Multimedia, 2024)

AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception. - Yipo Huang; Quan Yuan; Xiangfei Sheng; Zhichao Yang 013; Haoning Wu 001; Pengfei Chen 003; Yuzhe Yang 001; Leida Li; Weisi Lin (CoRR, 2024)

Aesthetic image cropping meets VLP: Enhancing good while reducing bad. - Quan Yuan; Leida Li; Pengfei Chen 003 (J. Vis. Commun. Image Represent., 2024)

Emotion-aware hierarchical interaction network for multimodal image aesthetics assessment. - Tong Zhu 003; Leida Li; Pengfei Chen 003; Jinjian Wu; Yuzhe Yang 001; Yaqian Li (Pattern Recognit., 2024)

Active Learning-Based Sample Selection for Label-Efficient Blind Image Quality Assessment. - Tianshu Song; Leida Li; Deqiang Cheng; Pengfei Chen 003; Jinjian Wu (IEEE Trans. Circuits Syst. Video Technol., 2024)

Coarse-to-Fine Image Aesthetics Assessment With Dynamic Attribute Selection. - Yipo Huang; Leida Li; Pengfei Chen 003; Jinjian Wu; Yuzhe Yang 001; Yaqian Li; Guangming Shi (IEEE Trans. Multim., 2024)

Multi-Modality Multi-Attribute Contrastive Pre-Training for Image Aesthetics Computing. - Yipo Huang; Leida Li; Pengfei Chen 003; Haoning Wu 001; Weisi Lin; Guangming Shi (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Towards Explainable Image Aesthetics Assessment With Attribute-Oriented Critiques Generation. - Leida Li; Xiangfei Sheng; Pengfei Chen 003; Jinjian Wu; Weisheng Dong (IEEE Trans. Circuits Syst. Video Technol., 2025)

Language-Guided Visual Perception Disentanglement for Image Quality Assessment and Conditional Image Generation. - Zhichao Yang 013; Leida Li; Pengfei Chen 003; Jinjian Wu; Giuseppe Valenzise (CoRR, 2025)