PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Spatial Priors. - Keyang Shi; Keze Wang; Jiangbo Lu; Liang Lin (CVPR, 2013)

3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks. - Keze Wang; Xiaolong Wang 004; Liang Lin; Meng Wang 001; Wangmeng Zuo (ACM Multimedia, 2014)

PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures With Edge-Preserving Coherence. - Keze Wang; Liang Lin; Jiangbo Lu; Chenglong Li 002; Keyang Shi (IEEE Trans. Image Process., 2015)

Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection. - Keze Wang; Liang Lin; Wangmeng Zuo; Shuhang Gu; Lei Zhang 006 (CVPR, 2016)

Local- and holistic-structure preserving image super resolution via deep joint component learning. - Yukai Shi; Keze Wang; Li Xu 001; Liang Lin (ICME, 2016)

Learning a lightweight deep convolutional network for joint age and gender recognition. - Linnan Zhu; Keze Wang; Liang Lin; Lei Zhang 006 (ICPR, 2016)

Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning. - Keze Wang; Shengfu Zhai; Hui Cheng; Xiaodan Liang; Liang Lin (ACM Multimedia, 2016)

A Deep Structured Model with Radius-Margin Bound for 3D Human Activity Recognition. - Liang Lin; Keze Wang; Wangmeng Zuo; Meng Wang 001; Jiebo Luo 001; Lei Zhang 006 (Int. J. Comput. Vis., 2016)

Face Recognition via Heuristic Deep Active Learning. - Ya Li; Keze Wang; Lin Nie; Qing Wang 018 (CCBR, 2017)

Recurrent 3D Pose Sequence Machines. - Mude Lin; Liang Lin; Xiaodan Liang; Keze Wang; Hui Cheng (CVPR, 2017)

Fine-Grained Butterfly Recognition with Deep Residual Networks: A New Baseline and Benchmark. - Lin Nie; Keze Wang; Xiaoling Fan; Yuefang Gao (DICTA, 2017)

Image Retrieval with Attribute-Associated Auxiliary References. - Lin Nie; Keze Wang; Wenxiong Kang; Yuefang Gao (DICTA, 2017)

Structure-Preserving Image Super-resolution via Contextualized Multi-task Learning. - Yukai Shi; Keze Wang; Chongyu Chen; Li Xu 001; Liang Lin (CoRR, 2017)

Cost-Effective Active Learning for Deep Image Classification. - Keze Wang; Dongyu Zhang 002; Ya Li; Ruimao Zhang; Liang Lin (IEEE Trans. Circuits Syst. Video Technol., 2017)

Structure-Preserving Image Super-Resolution via Contextualized Multitask Learning. - Yukai Shi; Keze Wang; Chongyu Chen; Li Xu 001; Liang Lin (IEEE Trans. Multim., 2017)

Flow Guided Recurrent Neural Encoder for Video Salient Object Detection. - Guanbin Li; Yuan Xie 004; Tianhao Wei; Keze Wang; Liang Lin (CVPR, 2018)

Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection. - Keze Wang; Xiaopeng Yan; Dongyu Zhang 002; Lei Zhang 006; Liang Lin (CVPR, 2018)

Convolutional Memory Blocks for Depth Data Representation Learning. - Keze Wang; Liang Lin; Chuangjie Ren; Wei Zhang 010; Wenxiu Sun (IJCAI, 2018)

Embedding Temporally Consistent Depth Recovery for Real-time Dense Mapping in Visual-inertial Odometry. - Hui Cheng; Zhuoqi Zheng; Jinhao He; Chongyu Chen; Keze Wang; Liang Lin (IROS, 2018)

Active Self-Paced Learning for Cost-Effective and Progressive Face Identification. - Liang Lin; Keze Wang; Deyu Meng; Wangmeng Zuo; Lei Zhang 006 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning. - Ziliang Chen 001; Keze Wang; Xiao Wang 014; Pai Peng; Ebroul Izquierdo; Liang Lin (IEEE Trans. Circuits Syst. Video Technol., 2018)

Adaptively Connected Neural Networks. - Guangrun Wang; Keze Wang; Liang Lin (CVPR, 2019)

Instance-aware representation learning and association for online multi-person tracking. - Hefeng Wu; Yafei Hu; Keze Wang; Hanhui Li; Lin Nie; Hui Cheng (Pattern Recognit., 2019)

Cost-Effective Object Detection: Active Sample Mining With Switchable Selection Criteria. - Keze Wang; Liang Lin; Xiaopeng Yan; Ziliang Chen 001; Dongyu Zhang 002; Lei Zhang 006 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Grammatically Recognizing Images with Tree Convolution. - Guangrun Wang; Guangcong Wang; Keze Wang; Xiaodan Liang; Liang Lin (KDD, 2020)

Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis. - Junfan Lin; Ziliang Chen 001; Xiaodan Liang; Keze Wang; Liang Lin (CoRR, 2020)

Linguistically Driven Graph Capsule Network for Visual Question Reasoning. - Qingxing Cao; Xiaodan Liang; Keze Wang; Liang Lin (CoRR, 2020)

Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning. - Yukai Shi; Guanbin Li; Qingxing Cao; Keze Wang; Liang Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

3D Human Pose Machines with Self-Supervised Learning. - Keze Wang; Liang Lin; Chenhan Jiang; Chen Qian 006; Pengxu Wei (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions. - Arjun R. Akula; Spandana Gella; Keze Wang; Song-Chun Zhu; Siva Reddy (EMNLP (1), 2021)

Linguistically Routing Capsule Network for Out-of-distribution Visual Question Answering. - Qingxing Cao; Wentao Wan 001; Keze Wang; Xiaodan Liang; Liang Lin (ICCV, 2021)

Solving Inefficiency of Self-supervised Representation Learning. - Guangrun Wang; Keze Wang; Guangcong Wang; Philip H. S. Torr; Liang Lin (ICCV, 2021)

Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. - Junfan Lin; Zhongzhan Huang; Keze Wang; Xiaodan Liang; Weiwei Chen; Liang Lin (ICRA, 2021)

Temporal Contrastive Graph for Self-supervised Video Representation Learning. - Yang Liu 084; Keze Wang; Haoyuan Lan; Liang Lin (CoRR, 2021)

CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models. - Arjun R. Akula; Keze Wang; Changsong Liu; Sari Saba-Sadiya; Hongjing Lu; Sinisa Todorovic; Joyce Chai; Song-Chun Zhu (CoRR, 2021)

Semantics-Aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition. - Yang Liu 084; Keze Wang; Guanbin Li; Liang Lin (IEEE Trans. Image Process., 2021)

Enhancing Prototypical Few-Shot Learning By Leveraging The Local-Level Strategy. - Junying Huang; Fan Chen; Keze Wang; Liang Lin; Dongyu Zhang 002 (ICASSP, 2022)

TCGL: Temporal Contrastive Graph for Self-Supervised Video Representation Learning. - Yang Liu 084; Keze Wang; Lingbo Liu; Haoyuan Lan; Liang Lin (IEEE Trans. Image Process., 2022)

Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding. - Qingxing Cao; Bailin Li; Xiaodan Liang; Keze Wang; Liang Lin (IEEE Trans. Neural Networks Learn. Syst., 2022)

Interactive Learning for Interpretable Visual Recognition via Semantic-Aware Self-Teaching Framework. - Hao Jiang; Haowei Li; Junhao Chen; Wentao Wan 001; Keze Wang (PRCV (9), 2023)

FIRE: Fine Implicit Reconstruction Enhancement with Detailed Body Part Labels and Geometric Features. - Junzheng Zhang; Xipeng Chen; Keze Wang; Pengxu Wei; Liang Lin (PRCV (2), 2023)

Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMs. - Ziyi Tang; Ruilin Wang; Weixing Chen; Keze Wang; Yang Liu 267; Tianshui Chen; Liang Lin (CoRR, 2023)

VisualProg Distiller: Learning to Fine-tune Non-differentiable Visual Programming Frameworks. - Wentao Wan 001; Zeqing Wang; Nan Kang; Keze Wang; Zhiyu Shen; Liang Lin (CoRR, 2023)

Towards Top-Down Reasoning: An Explainable Multi-Agent Approach for Visual Question Answering. - Zeqing Wang; Wentao Wan 001; Runmeng Chen; Qiqing Lao; Minjie Lang; Keze Wang (CoRR, 2023)

Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis. - Junfan Lin; Keze Wang; Ziliang Chen 001; Xiaodan Liang; Liang Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning. - Linsheng Chen; Guangrun Wang; Liuchun Yuan; Keze Wang; Ken Deng; Philip H. S. Torr (AAAI, 2024)

Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation. - Hui Fu; Zeqing Wang; Ke Gong; Keze Wang; Tianshui Chen; Haojie Li; Haifeng Zeng; Wenxiong Kang (AAAI, 2024)

Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models. - Qingyi Liu; Jinghui Qin; Wenxuan Ye; Hao Mou; Yuxuan He; Keze Wang (AAAI, 2024)

Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention. - Xingyu Zhou; Leheng Zhang; Xiaorui Zhao; Keze Wang; Leida Li; Shuhang Gu (CVPR, 2024)

Gesture Generation Via Diffusion Model with Attention Mechanism. - Lingling Li; Weicong Li; Qiyuan Ding; Chengpei Tang; Keze Wang (ICASSP, 2024)

On Training Data Influence of GPT Models. - Qingyi Liu; Yekun Chai; Shuohuan Wang; Yu Sun 004; Qiwei Peng 002; Keze Wang; Hua Wu 003 (CoRR, 2024)

Category-Adaptive Cross-Modal Semantic Refinement and Transfer for Open-Vocabulary Multi-Label Recognition. - Haijing Liu; Tao Pu 002; Hefeng Wu; Keze Wang; Liang Lin (CoRR, 2024)

Multi-Person 3D Pose Estimation With Occlusion Reasoning. - Xipeng Chen; Junzheng Zhang; Keze Wang; Pengxu Wei; Liang Lin (IEEE Trans. Multim., 2024)

Improving Network Interpretability via Explanation Consistency Evaluation. - Hefeng Wu; Hao Jiang; Keze Wang; Ziyi Tang; Xianghuan He; Liang Lin (IEEE Trans. Multim., 2024)

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks. - Wentao Wan 001; Zhuojie Yang; Yongcan Chen; Chenglin Luo; Ruilin Wang; Kehao Cai; Nan Kang; Liang Lin; Keze Wang (AAAI, 2025)

Reproducible Vision-Language Models Meet Concepts Out of Pre-Training. - Ziliang Chen 001; Xin Huang; Xiaoxuan Fan; Keze Wang; Yuyu Zhou; Quanlong Guan; Liang Lin (CVPR, 2025)

Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body. - Zeqing Wang; Qingyang Ma; Wentao Wan 001; Haojie Li; Keze Wang; Yonghong Tian 001 (CVPR, 2025)

SQLNet: Scale-Modulated Query and Localization Network for Few-Shot Class-Agnostic Counting. - Hefeng Wu; Yandong Chen 002; Lingbo Liu; Tianshui Chen; Keze Wang; Liang Lin (IEEE Trans. Image Process., 2025)

Kolmogorov-Arnold Fourier Networks. - Jusheng Zhang; Yijia Fan; Kaitong Cai; Keze Wang (CoRR, 2025)

KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems. - Jusheng Zhang; Zimeng Huang; Yijia Fan; Ningyuan Liu; Mingyan Li; Zhuojie Yang; Jiawei Yao; Jian Wang; Keze Wang (CoRR, 2025)

AlphaAgent: LLM-Driven Alpha Mining with Regularized Exploration to Counteract Alpha Decay. - Ziyi Tang; Zechuan Chen; Jiarui Yang; Jiayao Mai; Yongsen Zheng; Keze Wang; Jinrui Chen; Liang Lin (CoRR, 2025)

Exploiting Temporal Audio-Visual Correlation Embedding for Audio-Driven One-Shot Talking Head Animation. - Zhihua Xu; Tianshui Chen; Zhijing Yang; Siyuan Peng; Keze Wang; Liang Lin (CoRR, 2025)

TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models. - Zeqing Wang; Shiyuan Zhang; Chengpei Tang; Keze Wang (CoRR, 2025)

GAM-Agent: Game-Theoretic and Uncertainty-Aware Collaboration for Complex Visual Reasoning. - Jusheng Zhang; Yijia Fan; Wenjun Lin; Ruiqi Chen; Haoyi Jiang; Wenhao Chai; Jian Wang; Keze Wang (CoRR, 2025)

Continuous Value Assignment: A Doubly Robust Data Augmentation for Off-Policy Learning. - Junfan Lin; Zhongzhan Huang; Keze Wang; Lingbo Liu; Liang Lin (IEEE Trans. Neural Networks Learn. Syst., 2025)

From Motion to Behavior: Hierarchical Modeling of Humanoid Generative Behavior Control. - Jusheng Zhang; Jinzhou Tang; Sidi Liu; Mingyan Li; Sheng Zhang; Jian Wang; Keze Wang (CoRR, 2025)

CF-VLM:CounterFactual Vision-Language Fine-tuning. - Jusheng Zhang; Kaitong Cai; Yijia Fan; Jian Wang; Keze Wang (CoRR, 2025)

DART: Dual Adaptive Refinement Transfer for Open-Vocabulary Multi-Label Recognition. - Haijing Liu; Tao Pu 002; Hefeng Wu; Keze Wang; Liang Lin (CoRR, 2025)