Journal Papers

• Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis. To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023. [paper]
  Junfan Lin, Keze Wang*, Ziliang Chen, Xiaodan Liang, Liang Lin
• Multi-Person 3D Pose Estimation With Occlusion Reasoning. To appear in IEEE Transactions on Multimedia (T-MM), 2023. [paper]
  Xipeng Chen, Junzheng Zhang, Keze Wang, Pengxu Wei, Liang Lin*
• TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning. In IEEE Transactions on Image Processing (T-IP), 2022. [paper]
  Yang Liu, Keze Wang*, Lingbo Liu, Haoyuan Lan, Liang Lin
• CX-ToM: Counterfactual explanations with theory-of-mind for enhancing human trust in image recognition models. In iScience Cell Press Journal 2022. [paper]
  Arjun R Akula*, Keze Wang*, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Chai, Song-Chun Zhu
• Semantics-aware adaptive knowledge distillation for sensor-to-vision action recognition. In IEEE Transactions on Image Processing (T-IP), 2021. [paper]
  Yang Liu, Keze Wang*, Guanbin Li, Liang Lin
• Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding. In IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2021. [paper][Dataset][Chinese Media Report]
  Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin*
• 3D Human Pose Machines with Self-supervised Learning. in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 42, no. 5, pp. 1069-1082, 2020. [paper][code][ProjectPage][Media Report]
  Keze Wang, Liang Lin*, Chenhan Jiang, Chen Qian, and Pengxu Wei.
• Cost-Effective Object Detection: Active Sample Mining with Switchable Selection Criteria. In IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), vol. 30, no. 3, pp. 834-850, 2019. [paper][ProjectPage][code][code in pytorch]
  Keze Wang, Liang Lin*, Xiaopeng Yan, Ziliang Chen, and Lei Zhang.
• Active Self-Paced Learning for Cost-Effective and Progressive Face Identification. In IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 40, no. 1, pp. 7-19, 2018. [paper][code][ProjectPage]
  Liang Lin*, Keze Wang, Deyu Meng, Wangmeng Zuo, and Lei Zhang.
• Cost-Effective Active Learning for Deep Image Classification. In IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol. 27, no. 12, pp. 2591-2600, 2017. [paper]
  Keze Wang, Dongyu Zhang, Ya Li, Ruimao Zhang, and Liang Lin.
• Structure-Preserving Image Super-resolution via Contextualized Multi-task Learning. In IEEE Transactions on Multimedia (TMM), vol. 19, no. 12, pp. 2804-2815, 2017. [paper][ProjectPage][Code]
  Yukai Shi, Keze Wang, Chongyu Chen*, Li Xu and Liang Lin.
• Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning. In IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol. 28, no. 10, pp. 2667-2678, 2017. [paper][ProjectPage]
  Ziliang Chen, Keze Wang, Xiao Wang, Pai Peng and Liang Lin*.
• A Deep Structured Model with Radius–Margin Bound for 3D Human Activity Recognition. In International Journal of Computer Vision (IJCV), vol. 118, no. 2, pp. 256-273, 2016. [paper]
  Liang Lin*, Keze Wang, Wangmeng Zuo, Meng Wang, Jiebo Luo, and Lei Zhang.
• PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Edge-Preserving Coherence. In IEEE Transactions on Image Processing (T-IP), vol. 24, no. 10, pp. 3019-3033, 2015. [paper][code][ProjectPage]
  Keze Wang, Liang Lin*, Jiangbo Lu, Chenglong Li, and Keyang Shi.

Conference Papers

2025

• CF-VLM: CounterFactual Vision-Language Fine-tuning. In Neural Information Processing Systems (NeurIPS), 2025. [code]
  Jusheng Zhang, Kaitong Cai, Yijia Fan, Jian Wang, Keze Wang*
• MAT-Agent: Learning to Dynamically Optimize Multi-Label Image Classification Training via Multi-Agent Collaboration. In Neural Information Processing Systems (NeurIPS), 2025.
  Jusheng Zhang, Kaitong Cai, Yijia Fan, Ningyuan Liu, Keze Wang*
• Tri-MARF: A Tri-Modal Multi-Agent Responsive Framework for Comprehensive 3D Object Annotation. In Neural Information Processing Systems (NeurIPS), 2025.
  Jusheng Zhang, Yijia Fan, Zimo Wen, Jian Wang, Keze Wang*
• GAM-Agent: Game-Theoretic and Uncertainty-Aware Collaboration for Complex Visual Reasoning. In Neural Information Processing Systems (NeurIPS), 2025.
  Jusheng Zhang, Yijia Fan, Wenjun Lin, Ruiqi Chen, Haoyi Jiang, Wenhao Chai, Jian Wang, Keze Wang*
• DrDiff: Dynamic Routing Diffusion with Hierarchical Attention for Breaking the Efficiency-Quality Trade-off. In Empirical Methods in Natural Language Processing (EMNLP), 2025.
  Jusheng Zhang, Yijia Fan, Kaitong Cai, Zimeng Huang, Xiaofei Sun, Jian Wang, Chengpei Tang, Keze Wang*
• Towards More Efficient Post-training via Fourier Domain Adapter Framework. In Empirical Methods in Natural Language Processing (EMNLP), 2025.
  Yijia Fan, Jusheng Zhang, Keze Wang*
• CCG: Rare-Label Prediction via Neural SEM–Driven Causal Game. In Empirical Methods in Natural Language Processing (EMNLP), 2025.
  Yijia Fan, Jusheng Zhang, Kaitong Cai, Jing Yang, Keze Wang*
• OSC: Cognitive Orchestration through Dynamic Knowledge Alignment in Multi-Agent LLM Collaboration. In Empirical Methods in Natural Language Processing (EMNLP), 2025.
  Jusheng Zhang, Yijia Fan, Kaitong Cai, Xiaofei Sun, Keze Wang*
• AlphaAgent: LLM-Driven Alpha Mining with Regularized Exploration to Counteract Alpha Decay. In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025. [code]
  Ziyi Tang, Zechuan Chen, Jiarui Yang, Jiayao Mai, Yongsen Zheng, Keze Wang*, Jinrui Chen, Liang Lin
• KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems. In International Conference on Machine Learning (ICML), 2025. [code]
  Jusheng Zhang, Zimeng Huang, Yijia Fan, Ningyuan Liu, Mingyan Li, Zhuojie Yang, Jiawei Yao, Jian Wang, Keze Wang*
• Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [code]
  Zeqing Wang, Qingyang Ma, Wentao Wan, Haojie Li, Keze Wang*, Yonghong Tian.
• SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks. In Annual AAAI Conference on Artificial Intelligence (AAAI), 2025. [code]
  Wentao Wan, Zhuojie Yang, Yongcan Chen, Chenglin Luo, Ruilin Wang, Kehao Cai, Nan Kang, Liang Lin, Keze Wang*.

2024

• Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models. In Annual AAAI Conference on Artificial Intelligence (AAAI), 2024. [code]
  Qingyi Liu, Jinhui Qin, Wenxuan Ye, Hao Mou, Yuxuan He, Keze Wang*.
• NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning. In Annual AAAI Conference on Artificial Intelligence (AAAI), 2024. [code]
  Linsheng Chen, Guangrun Wang, Liuchun Yuan, Keze Wang*, Ken Deng, Philip H.S. Torr.
• Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation. In Annual AAAI Conference on Artificial Intelligence (AAAI), 2024. [code]
  Hui Fu, Zeqing Wang, Ke Gong, Keze Wang, Tianshui Chen, Haojie Li, Haifeng Zeng, Wenxiong Kang*.
• Gesture Generation via Diffusion Model with Attention Mechanism. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024. [code]
  Lingling Li, Weicong Li, Qiyuan Ding, Chengpei Tang, Keze Wang*.

2021

• Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions. In Proc. of Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. [paper]
  Arjun Akula, Spandana Gella, Keze Wang, Song-Chun Zhu, Siva Reddy.

• Solving inefficiency of self-supervised representation learning. In Proc. of International Conference on Conference on Computer Vision (ICCV), 2021. [paper]
  Guangrun Wang, Keze Wang, Guangcong Wang, Philip HS Torr, Liang Lin.

• Linguistically Routing Capsule Network for Out-of-Distribution Visual Question Answering. In Proc. of International Conference on Conference on Computer Vision (ICCV), 2021. [paper]
  Qingxing Cao, Wentao Wan, Keze Wang, Xiaodan Liang, Liang Lin*

• Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. In Proc. of International Conference on Robotics and Automation (ICRA), 2021. [paper][code][video]
  Junfan Lin, Zhongzhan Huang, Keze Wang*, Xiaodan Liang, Weiwei Chen, Liang Lin.

2020

• Grammatically Recognizing Images with Tree Convolution. In Proc. of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), 2020. [paper][code]
  Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, and Liang Lin*.

2019

• Adaptively Connected Neural Networks. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [paper][code]
  Guangrun Wang, Keze Wang, Liang Lin*.

2018

• Convolutional Memory Blocks for Depth Data Representation Learning. In Proc. of International Joint Conference on Artificial Intelligence (IJCAI), 2018. [paper]
  Keze Wang, Liang Lin*, Chuangjie Ren, Wei Zhang, Wenxiu Sun.
• Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [paper][ProjectPage][code][code in pytorch][Chinese Briefing]
  Keze Wang, Xiaopeng Yan, Donyu Zhang, Lei Zhang, Liang Lin*.

2017

• Recurrent 3D Pose Sequence Machines. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [paper][code]
  Mude Lin, Liang Lin, Xiaodan Liang, Keze Wang, and Hui Cheng*.

2016

• Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning. In Proceedings of the ACM International Conference on Multimedia (ACM MM), 2016. (full paper, oral) [paper][Dataset]
  Keze Wang, Shengfu Zhai, Hui Cheng, Xiaodan Liang, and Liang Lin*.
• Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [Paper]
  Keze Wang, Liang Lin*, Wangmeng Zuo, Shuhang Gu, and Lei Zhang.
• Local- and Holistic- Structure Preserving Image Super-Resolution via Deep Joint Component Learning. In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), 2016. (oral) [paper]
  Yukai Shi, Keze Wang, Li Xu, Liang Lin*.
• Learning a Lightweight Deep Convolutional Network for Joint Age and Gender Recognition. In Proceedings of the IEEE International Conference on Pattern Recognition (ICPR), 2016. (oral) [paper]
  Linnan Zhu, Keze Wang, Liang Lin, Lei Zhang*.

2014

• 3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks. In ACM International Conference on Multimedia (ACM MM), 2014. (full paper, oral) [paper][dataset description][dataset download]
  Keze Wang, Xiaolong Wang, and Liang Lin*.

2013

• PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Spatial Priors. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013. [paper]
  Keyang Shi, Keze Wang, Jiangbo Lu, and Liang Lin*.