Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos. - Hsien-Tzu Cheng; Chun-Hung Chao; Jin-Dong Dong; Hao-Kai Wen; Tyng-Luh Liu; Min Sun 001 (CVPR, 2018)

DPP-Net: Device-Aware Progressive Search for Pareto-Optimal Neural Architectures. - Jin-Dong Dong; An-Chieh Cheng; Da-Cheng Juan; Wei Wei 019; Min Sun 001 (ECCV (11), 2018)

Searching toward pareto-optimal device-aware neural architectures. - An-Chieh Cheng; Jin-Dong Dong; Chi-Hung Hsu; Shu-Huan Chang; Min Sun 001; Shih-Chieh Chang; Jia-Yu Pan; Yu-Ting Chen 002; Wei Wei 019; Da-Cheng Juan (ICCAD, 2018)

PPP-Net: Platform-aware Progressive Search for Pareto-optimal Neural Architectures. - Jin-Dong Dong; An-Chieh Cheng; Da-Cheng Juan; Wei Wei 019; Min Sun 001 (ICLR (Workshop), 2018)

Towards Understanding Cryptocurrency Derivatives: A Case Study of BitMEX. - Kyle Soska; Jin-Dong Dong; Alex Khodaverdian; Ariel Zetlin-Jones; Bryan R. Routledge; Nicolas Christin (WWW, 2021)

Poster: User Sessions on Tor Onion Services: Can Colluding ISPs Deanonymize Them at Scale? - Daniela Lopes; Pedro Medeiros; Jin-Dong Dong; Diogo Barradas; Bernardo Portela; João Vinagre; Bernardo Ferreira; Nicolas Christin; Nuno Santos 001 (CCS, 2022)

On recruiting and retaining users for security-sensitive longitudinal measurement panels. - Akira Yamada 001; Kyle Crichton; Yukiko Sawaya; Jin-Dong Dong; Sarah Pearman; Ayumu Kubota; Nicolas Christin (SOUPS @ USENIX Security Symposium, 2022)

Flow Correlation Attacks on Tor Onion Service Sessions with Sliding Subset Sum. - Daniela Lopes; Jin-Dong Dong; Pedro Medeiros; Daniel Castro 004; Diogo Barradas; Bernardo Portela; João Vinagre; Bernardo Ferreira; Nicolas Christin; Nuno Santos 001 (NDSS, 2024)

Blockchain Address Poisoning. - Taro Tsuchiya; Jin-Dong Dong; Kyle Soska; Nicolas Christin (CoRR, 2025)