Game-like navigation and responsiveness in non-game applications. - Michael Tsang; George W. Fitzmaurice; Gordon Kurtenbach; Azam Khan (Commun. ACM, 2003)

Boom chameleon: simultaneous capture of 3D viewpoint, voice and gesture annotations on a spatially-aware display. - Michael Tsang; George W. Fitzmaurice; Gordon Kurtenbach; Azam Khan; William Buxton (ACM Trans. Graph., 2003)

Temporal Thumbnails: rapid visualization of time-based viewing data. - Michael Tsang; Nigel Morris; Ravin Balakrishnan (AVI, 2004)

Sinica-IASL Chinese spelling check system at Sighan-7. - Ting-Hao Yang; Yu-Lun Hsieh; Yu-Hsuan Chen; Michael Tsang; Cheng-Wei Shih; Wen-Lian Hsu (SIGHAN@IJCNLP, 2013)

Comparing models for gesture recognition of children's bullying behaviors. - Michael Tsang; Vadim Korolik; Stefan Scherer; Maja J. Mataric (ACII, 2017)

The Importance of Regulatory Fit & Early Success in a Human-Machine Game. - Eli Pincus; Su Lei; Gale M. Lucas; Emmanuel Johnson; Michael Tsang; Jonathan Gratch; David R. Traum (APAScience, 2018)

Detecting Statistical Interactions from Neural Network Weights. - Michael Tsang; Dehua Cheng; Yan Liu 002 (ICLR (Poster), 2018)

Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability. - Michael Tsang; Hanpeng Liu; Sanjay Purushotham; Pavankumar Murali; Yan Liu 002 (NeurIPS, 2018)

Can I trust you more? Model-Agnostic Hierarchical Explanations. - Michael Tsang; Youbang Sun; Dongxu Ren; Yan Liu 002 (CoRR, 2018)

CoSTCo: A Neural Tensor Completion Model for Sparse Tensors. - Hanpeng Liu; Yaguang Li; Michael Tsang; Yan Liu 002 (KDD, 2019)

Extracting Interpretable Concept-Based Decision Trees from CNNs. - Conner Chyung; Michael Tsang; Yan Liu 002 (CoRR, 2019)

Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection. - Michael Tsang; Dehua Cheng; Hanpeng Liu; Xue Feng; Eric Zhou; Yan Liu 002 (ICLR, 2020)

How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions. - Michael Tsang; Sirisha Rambhatla; Yan Liu 002 (NeurIPS, 2020)

Interpretable Deepfake Detection via Dynamic Prototypes. - Loc Trinh; Michael Tsang; Sirisha Rambhatla; Yan Liu 002 (CoRR, 2020)

Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes. - Loc Trinh; Michael Tsang; Sirisha Rambhatla; Yan Liu 002 (WACV, 2021)

Interpretable Artificial Intelligence through the Lens of Feature Interaction. - Michael Tsang; James Enouen; Yan Liu 002 (CoRR, 2021)

DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction. - Buyun Zhang; Liang Luo; Xi Liu; Jay Li; Zeliang Chen; Weilin Zhang; Xiaohan Wei; Yuchen Hao; Michael Tsang; Wenjun Wang; Yang Liu; Huayu Li; et al. (CoRR, 2022)

Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large Scale Recommendation. - Liang Luo; Buyun Zhang; Michael Tsang; Yinbin Ma; Ching-Hsiang Chu; Yuxin Chen 001; Shen Li; Yuchen Hao; Yanli Zhao; Guna Lakshminarayanan; Ellie Wen; Jongsoo Park; et al. (MLSys, 2024)