Face Detection by Aggregating Visible Components. - Jiali Duan; Shengcai Liao; Xiaoyuan Guo; Stan Z. Li (ACCV Workshops (2), 2016)

Face Classification: A Specialized Benchmark Study. - Jiali Duan; Shengcai Liao; Shuai Zhou; Stan Z. Li (CCBR, 2016)

Multi-Modality Fusion based on Consensus-Voting and 3D Convolution for Isolated Gesture Recognition. - Jiali Duan; Shuai Zhou; Jun Wan 001; Xiaoyuan Guo; Stan Z. Li (CoRR, 2016)

PortraitGAN for Flexible Portrait Manipulation. - Jiali Duan; Xiaoyuan Guo; Yuhang Song 003; Chao Yang 011; C.-C. Jay Kuo (CoRR, 2018)

An Interpretable Generative Model for Handwritten Digit Image Synthesis. - Yao Zhu; Saksham Suri; Pranav Kulkarni; Yueru Chen; Jiali Duan; C.-C. Jay Kuo (CoRR, 2018)

A Unified Framework for Multi-Modal Isolated Gesture Recognition. - Jiali Duan; Jun Wan 001; Shuai Zhou; Xiaoyuan Guo; Stan Z. Li (ACM Trans. Multim. Comput. Commun. Appl., 2018)

An Interpretable Generative Model for Handwritten Digits Synthesis. - Yao Zhu; Saksham Suri; Pranav Kulkarni; Yueru Chen; Jiali Duan; C.-C. Jay Kuo (ICIP, 2019)

Robot Learning via Human Adversarial Games. - Jiali Duan; Qian Wang; Lerrel Pinto; C.-C. Jay Kuo; Stefanos Nikolaidis (IROS, 2019)

A tumour perception system based on a multi-layer mass-spring model. - Xiaorui Zhang; Jiali Duan; Wei Sun 012; Sunil Kumar Jha (Int. J. Sens. Networks, 2019)

Interpretable convolutional neural networks via feedforward design. - C.-C. Jay Kuo; Min Zhang 030; Siyang Li 002; Jiali Duan; Yueru Chen (J. Vis. Commun. Image Represent., 2019)

SLADE: A Self-Training Framework for Distance Metric Learning. - Jiali Duan; Yen-Liang Lin; Son Dinh Tran; Larry S. Davis; C.-C. Jay Kuo (CVPR, 2021)

Bridging Gap between Image Pixels and Semantics via Supervision: A Survey. - Jiali Duan; C.-C. Jay Kuo (CoRR, 2021)

Multi-modal Alignment using Representation Codebook. - Jiali Duan; Liqun Chen 001; Son Tran; Jinyu Yang; Yi Xu 011; Belinda Zeng; Trishul Chilimbi (CVPR, 2022)

Vision-Language Pre-Training with Triple Contrastive Learning. - Jinyu Yang; Jiali Duan; Son Tran; Yi Xu 011; Sampath Chanda; Liqun Chen 001; Belinda Zeng; Trishul Chilimbi; Junzhou Huang (CVPR, 2022)

Augmenting Vision Language Pretraining by Learning Codebook with Visual Semantics. - Xiaoyuan Guo; Jiali Duan; C.-C. Jay Kuo; Judy Wawira Gichoya; Imon Banerjee (ICPR, 2022)

OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval System. - Xiaoyuan Guo; Jiali Duan; Saptarshi Purkayastha; Hari Trivedi; Judy Wawira Gichoya; Imon Banerjee (ICMR, 2022)

Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective. - Changyou Chen; Jianyi Zhang; Yi Xu 011; Liqun Chen 001; Jiali Duan; Yiran Chen 001; Son Tran; Belinda Zeng; Trishul Chilimbi (NeurIPS, 2022)

Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs. - Dongsheng Ding; Kaiqing Zhang; Jiali Duan; Tamer Basar; Mihailo R. Jovanovic (CoRR, 2022)

Human Decision Makings on Curriculum Reinforcement Learning with Difficulty Adjustment. - Yilei Zeng; Jiali Duan; Yang Li; Emilio Ferrara; Lerrel Pinto; C.-C. Jay Kuo; Stefanos Nikolaidis (CoRR, 2022)

UnCommon Objects in 3D. - Xingchen Liu; Piyush Tayal; Jianyuan Wang; Jesus Zarzar; Tom Monnier; Konstantinos Tertikas; Jiali Duan; Antoine Toisoul; Jason Y. Zhang 001; Natalia Neverova; Andrea Vedaldi; Roman Shapovalov; et al. (CVPR, 2025)