Jun-Ting Hsieh

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 28

Top Topics

Action Detection

Threshold Selection

Absolute Difference

Top Venues

Publications

Jun-Ting Hsieh, Pravesh K. Kothari, Sidhanth Mohanty, David Munhá Correia, Benny Sudakov
Small Even Covers, Locally Decodable Codes and Restricted Subgraphs of Edge-Colored Kikuchi Graphs. CoRR (2024)
Jun-Ting Hsieh, Theo McKenzie, Sidhanth Mohanty, Pedro Paredes
Explicit Two-Sided Unique-Neighbor Expanders. STOC (2024)
Jun-Ting Hsieh, Pravesh K. Kothari, Lucas Pesenti, Luca Trevisan
New SDP Roundings and Certifiable Approximation for Cubic Optimization. SODA (2024)
Mitali Bafna, Jun-Ting Hsieh, Pravesh K. Kothari
Rounding Large Independent Sets on Expanders. CoRR (2024)
Venkatesan Guruswami, Jun-Ting Hsieh, Prasad Raghavendra
Certifying Euclidean Sections and Finding Planted Sparse Vectors Beyond the √n Dimension Threshold. CoRR (2024)
Jun-Ting Hsieh, Pravesh K. Kothari
Approximating Max-Cut on Bounded Degree Graphs: Tighter Analysis of the FKL Algorithm. ICALP (2023)
Jun-Ting Hsieh, Pravesh K. Kothari, Aaron Potechin, Jeff Xu
Ellipsoid Fitting Up to a Constant. CoRR (2023)
Venkatesan Guruswami, Jun-Ting Hsieh, Pravesh K. Kothari, Peter Manohar
Efficient Algorithms for Semirandom Planted CSPs at the Refutation Threshold. FOCS (2023)
Venkatesan Guruswami, Jun-Ting Hsieh, Pravesh K. Kothari, Peter Manohar
Efficient Algorithms for Semirandom Planted CSPs at the Refutation Threshold. CoRR (2023)
Jun-Ting Hsieh, Pravesh K. Kothari, Sidhanth Mohanty
A simple and sharper proof of the hypergraph Moore bound. SODA (2023)
Jun-Ting Hsieh, Pravesh K. Kothari, Lucas Pesenti, Luca Trevisan
New SDP Roundings and Certifiable Approximation for Cubic Optimization. CoRR (2023)
Jun-Ting Hsieh, Pravesh K. Kothari, Aaron Potechin, Jeff Xu
Ellipsoid Fitting up to a Constant. ICALP (2023)
Jun-Ting Hsieh, Theo McKenzie, Sidhanth Mohanty, Pedro Paredes
Explicit two-sided unique-neighbor expanders. CoRR (2023)
Jun-Ting Hsieh, Pravesh K. Kothari
Algorithmic Thresholds for Refuting Random Polynomial Systems. SODA (2022)
Jun-Ting Hsieh, Pravesh K. Kothari
Approximating Max-Cut on Bounded Degree Graphs: Tighter Analysis of the FKL Algorithm. CoRR (2022)
Mitali Bafna, Jun-Ting Hsieh, Pravesh K. Kothari, Jeff Xu
Polynomial-Time Power-Sum Decomposition of Polynomials. FOCS (2022)
Mitali Bafna, Jun-Ting Hsieh, Pravesh K. Kothari, Jeff Xu
Polynomial-Time Power-Sum Decomposition of Polynomials. CoRR (2022)
Jun-Ting Hsieh, Pravesh K. Kothari, Sidhanth Mohanty
A simple and sharper proof of the hypergraph Moore bound. CoRR (2022)
Jun-Ting Hsieh, Sidhanth Mohanty, Jeff Xu
Certifying Solution Geometry in Random CSPs: Counts, Clusters and Balance. CCC (2022)
Jun-Ting Hsieh, Pravesh K. Kothari
Algorithmic Thresholds for Refuting Random Polynomial Systems. CoRR (2021)
Jun-Ting Hsieh, Sidhanth Mohanty, Jeff Xu
Certifying solution geometry in random CSPs: counts, clusters and balance. CoRR (2021)
Jun-Ting Hsieh, Shengjia Zhao, Stephan Eismann, Lucia Mirabella, Stefano Ermon
Learning Neural PDE Solvers with Convergence Guarantees. ICLR (Poster) (2019)
Jun-Ting Hsieh, Shengjia Zhao, Stephan Eismann, Lucia Mirabella, Stefano Ermon
Learning Neural PDE Solvers with Convergence Guarantees. CoRR (2019)
Jun-Ting Hsieh, Bingbin Liu, De-An Huang, Li Fei-Fei, Juan Carlos Niebles
Learning to Decompose and Disentangle Representations for Video Prediction. CoRR (2018)
Jun-Ting Hsieh, Bingbin Liu, De-An Huang, Li Fei-Fei, Juan Carlos Niebles
Learning to Decompose and Disentangle Representations for Video Prediction. NeurIPS (2018)
Zelun Luo, Jun-Ting Hsieh, Lu Jiang, Juan Carlos Niebles, Li Fei-Fei
Graph Distillation for Action Detection with Privileged Modalities. ECCV (14) (2018)
David Xue, Anin Sayana, Evan Darke, Kelly Shen, Jun-Ting Hsieh, Zelun Luo, Li-Jia Li, N. Lance Downing, Arnold Milstein, Li Fei-Fei
Vision-Based Gait Analysis for Senior Care. CoRR (2018)
Zelun Luo, Lu Jiang, Jun-Ting Hsieh, Juan Carlos Niebles, Li Fei-Fei
Graph Distillation for Action Detection with Privileged Information. CoRR (2017)