Haotian Jiang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 81

Top Topics

Semidefinite Program

Quality Estimation

Facility Location

Top Venues

Publications

Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin A. Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin
Differentially Private Synthetic Data via Foundation Model APIs 2: Text. CoRR (2024)
Fengxia He, Chuansheng Zheng, Chao Pang, Chengying Zhao, Mingyang Yang, Yunpeng Zhu, Zhong Luo, Haitao Luo, Lei Li, Haotian Jiang
An Adaptive Deconvolution Method with Improve Enhanced Envelope Spectrum and Its Application for Bearing Fault Feature Extraction. Sensors 24 (3) (2024)
Haotian Jiang, Yin Tat Lee, Zhao Song, Lichen Zhang
) Time. SODA (2024)
Junqing Yang, Haotian Jiang, Tewodros Tassew, Peng Sun, Jiquan Ma, Yong Xia, Pew-Thian Yap, Geng Chen
Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer. MICCAI (8) (2023)
Andrei Graur, Haotian Jiang, Aaron Sidford
Sparse Submodular Function Minimization. FOCS (2023)
Yuan He, Xiuzhen Guo, Xiaolong Zheng, Zihao Yu, Jia Zhang, Haotian Jiang, Xin Na, Jiacheng Zhang
Cross-Technology Communication for the Internet of Things: A Survey. ACM Comput. Surv. 55 (5) (2023)
Haotian Jiang, Qianxiao Li, Zhong Li, Shida Wang
A Brief Survey on the Approximation Theory for Sequence Modelling. CoRR (2023)
Andrei Graur, Haotian Jiang, Aaron Sidford
Sparse Submodular Function Minimization. CoRR (2023)
Deeparnab Chakrabarty, Andrei Graur, Haotian Jiang, Aaron Sidford
Parallel Submodular Function Minimization. NeurIPS (2023)
Haotian Jiang, Yin Tat Lee, Zhao Song, Lichen Zhang
) Time. CoRR (2023)
Deeparnab Chakrabarty, Andrei Graur, Haotian Jiang, Aaron Sidford
Parallel Submodular Function Minimization. CoRR (2023)
Haotian Jiang, Qianxiao Li
Forward and Inverse Approximation Theory for Linear Temporal Convolutional Networks. CoRR (2023)
Haotian Jiang
Minimizing Convex Functions with Rational Minimizers. J. ACM 70 (1) (2023)
Nikhil Bansal, Haotian Jiang, Raghu Meka
Resolving Matrix Spencer Conjecture Up to Poly-logarithmic Rank. STOC (2023)
Yangsibo Huang, Haotian Jiang, Daogao Liu, Mohammad Mahdian, Jieming Mao, Vahab Mirrokni
Learning across Data Owners with Joint Differential Privacy. CoRR (2023)
Haotian Jiang, Qianxiao Li
Approximation theory of transformer networks for sequence modeling. CoRR (2023)
Nikhil Bansal, Haotian Jiang, Raghu Meka, Sahil Singla, Makrand Sinha
Smoothed Analysis of the Komlós Conjecture. CoRR (2022)
Xiuzhen Guo, Longfei Shangguan, Yuan He, Jia Zhang, Haotian Jiang, Awais Ahmad Siddiqi, Yunhao Liu
Efficient Ambient LoRa Backscatter With On-Off Keying Modulation. IEEE/ACM Trans. Netw. 30 (2) (2022)
Zhong Li, Haotian Jiang, Qianxiao Li
On the approximation properties of recurrent encoder-decoder architectures. ICLR (2022)
Geng Chen, Haotian Jiang, Jiannan Liu, Jiquan Ma, Hui Cui, Yong Xia, Pew-Thian Yap
Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data. MICCAI (1) (2022)
Daniel Dadush, Haotian Jiang, Victor Reis
A new framework for matrix discrepancy: partial coloring bounds via mirror descent. STOC (2022)
Nikhil Bansal, Haotian Jiang, Raghu Meka, Sahil Singla, Makrand Sinha
Prefix Discrepancy, Smoothed Analysis, and Combinatorial Vector Balancing. ITCS (2022)
Xiuzhen Guo, Longfei Shangguan, Yuan He, Nan Jing, Jiacheng Zhang, Haotian Jiang, Yunhao Liu
Saiyan: Design and Implementation of a Low-power Demodulator for LoRa Backscatter Systems. CoRR (2022)
Deeparnab Chakrabarty, Andrei Graur, Haotian Jiang, Aaron Sidford
Improved Lower Bounds for Submodular Function Minimization. FOCS (2022)
Xiuzhen Guo, Longfei Shangguan, Yuan He, Jia Zhang, Haotian Jiang, Awais Ahmad Siddiqi, Yunhao Liu
Efficient Ambient LoRa Backscatter with On-Off Keying Modulation. CoRR (2022)
Sally Dong, Haotian Jiang, Yin Tat Lee, Swati Padmanabhan, Guanghao Ye
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity. NeurIPS (2022)
Xiuzhen Guo, Yuan He, Jia Zhang, Haotian Jiang, Zihao Yu, Xin Na
Taming the Errors in Cross-Technology Communication: A Probabilistic Approach. ACM Trans. Sens. Networks 18 (1) (2022)
Deeparnab Chakrabarty, Andrei Graur, Haotian Jiang, Aaron Sidford
Improved Lower Bounds for Submodular Function Minimization. CoRR (2022)
Sally Dong, Haotian Jiang, Yin Tat Lee, Swati Padmanabhan, Guanghao Ye
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity. CoRR (2022)
Yuan He, Xiuzhen Guo, Xiaolong Zheng, Zihao Yu, Jia Zhang, Haotian Jiang, Xin Na, Jiacheng Zhang
Cross-Technology Communication for the Internet of Things: A Survey. CoRR (2022)
Haotian Jiang, Victor Reis
A Tighter Relation Between Hereditary Discrepancy and Determinant Lower Bound. SOSA (2022)
Xiuzhen Guo, Longfei Shangguan, Yuan He, Nan Jing, Jiacheng Zhang, Haotian Jiang, Yunhao Liu
Saiyan: Design and Implementation of a Low-power Demodulator for LoRa Backscatter Systems. NSDI (2022)
Nikhil Bansal, Haotian Jiang, Raghu Meka, Sahil Singla, Makrand Sinha
Smoothed Analysis of the Komlós Conjecture. ICALP (2022)
Nikhil Bansal, Haotian Jiang, Raghu Meka
Resolving Matrix Spencer Conjecture Up to Poly-logarithmic Rank. CoRR (2022)
Venkat Varada, Mina Ghashami, Jitesh Mehta, Haotian Jiang, Kurtis Voris
Low-cost Relevance Generation and Evaluation Metrics for Entity Resolution in AI. CoRR (2022)
Jia Zhang, Xiuzhen Guo, Haotian Jiang, Xiaolong Zheng, Yuan He
Link Quality Estimation of Cross-Technology Communication: The Case with Physical-Level Emulation. ACM Trans. Sens. Networks 18 (1) (2022)
Daniel Dadush, Haotian Jiang, Victor Reis
A New Framework for Matrix Discrepancy: Partial Coloring Bounds via Mirror Descent. CoRR (2021)
Yuan He, Xiuzhen Guo, Jia Zhang, Haotian Jiang
WIDE: Physical-Level CTC via Digital Emulation. IEEE/ACM Trans. Netw. 29 (4) (2021)
Haotian Jiang, James Starkman, Yu-Ju Lee, Huan Chen, Xiaoye Qian, Ming-Chun Huang
Distributed Deep Learning Optimized System over the Cloud and Smart Phone Devices. IEEE Trans. Mob. Comput. 20 (1) (2021)
Haotian Jiang, Zhong Li, Qianxiao Li
Approximation Theory of Convolutional Architectures for Time Series Modelling. CoRR (2021)
Haotian Jiang, Jiacheng Zhang, Xiuzhen Guo, Yuan He
Sense Me on the Ride: Accurate Mobile Sensing over a LoRa Backscatter Channel. SenSys (2021)
Haotian Jiang, Victor Reis
A Tighter Relation Between Hereditary Discrepancy and Determinant Lower Bound. CoRR (2021)
Nikhil Bansal, Haotian Jiang, Raghu Meka, Sahil Singla, Makrand Sinha
Online Discrepancy Minimization for Stochastic Arrivals. SODA (2021)
Haotian Jiang, Zhong Li, Qianxiao Li
Approximation Theory of Convolutional Architectures for Time Series Modelling. ICML (2021)
Nikhil Bansal, Haotian Jiang, Raghu Meka, Sahil Singla, Makrand Sinha
Prefix Discrepancy, Smoothed Analysis, and Combinatorial Vector Balancing. CoRR (2021)
Haotian Jiang, Qianxiao Li
Forward and Inverse Approximation Theory for Linear Temporal Convolutional Networks. GSI (2) (2021)
Haotian Jiang
Minimizing Convex Functions with Integral Minimizers. SODA (2021)
T.-H. Hubert Chan, Haotian Jiang, Shaofeng H.-C. Jiang
A Unified PTAS for Prize Collecting TSP and Steiner Tree Problem in Doubling Metrics. ACM Trans. Algorithms 16 (2) (2020)
Haotian Jiang, Jian Li, Daogao Liu, Sahil Singla
Algorithms and Adaptivity Gaps for Stochastic k-TSP. ITCS (2020)
Haotian Jiang
Minimizing Convex Functions with Integral Minimizers. CoRR (2020)
Xiuzhen Guo, Longfei Shangguan, Yuan He, Jia Zhang, Haotian Jiang, Awais Ahmad Siddiqi, Yunhao Liu
Aloba: rethinking ON-OFF keying modulation for ambient LoRa backscatter. SenSys (2020)
Jia Zhang, Xiuzhen Guo, Haotian Jiang, Xiaolong Zheng, Yuan He
Link Quality Estimation of Cross-Technology Communication. INFOCOM (2020)
Nikhil Bansal, Haotian Jiang, Sahil Singla, Makrand Sinha
Online vector balancing and geometric discrepancy. STOC (2020)
Haotian Jiang, Tarun Kathuria, Yin Tat Lee, Swati Padmanabhan, Zhao Song
A Faster Interior Point Method for Semidefinite Programming. FOCS (2020)
Haotian Jiang, Tarun Kathuria, Yin Tat Lee, Swati Padmanabhan, Zhao Song
A Faster Interior Point Method for Semidefinite Programming. CoRR (2020)
Haotian Jiang, Yin Tat Lee, Zhao Song, Sam Chiu-wai Wong
An Improved Cutting Plane Method for Convex Optimization, Convex-Concave Games and its Applications. CoRR (2020)
Haotian Jiang, Yin Tat Lee, Zhao Song, Sam Chiu-wai Wong
An improved cutting plane method for convex optimization, convex-concave games, and its applications. STOC (2020)
Nikhil Bansal, Haotian Jiang, Raghu Meka, Sahil Singla, Makrand Sinha
Online Discrepancy Minimization for Stochastic Arrivals. CoRR (2020)
Venkatesan Guruswami, Haotian Jiang
Near-optimal Repair of Reed-Solomon Codes with Low Sub-packetization. CoRR (2019)
Haotian Jiang, Mustafa Coskun, Alaa Badokhon, Menghan Liu, Ming-Chun Huang
Hidden Smile Correlation Discovery Across Subjects Using Random Walk with Restart. IEEE Trans. Affect. Comput. 10 (1) (2019)
Haotian Jiang, Jian Li, Daogao Liu, Sahil Singla
Algorithms and Adaptivity Gaps for Stochastic k-TSP. CoRR (2019)
Nikhil Bansal, Haotian Jiang, Sahil Singla, Makrand Sinha
Online Vector Balancing and Geometric Discrepancy. CoRR (2019)
Weina Wang, Mor Harchol-Balter, Haotian Jiang, Alan Scheller-Wolf, R. Srikant
Delay asymptotics and bounds for multitask parallel jobs. Queueing Syst. Theory Appl. 91 (3-4) (2019)
Anupam Gupta, Haotian Jiang, Ziv Scully, Sahil Singla
The Markovian Price of Information. CoRR (2019)
Xiaoye Qian, Haoyou Cheng, Diliang Chen, Quan Liu, Huan Chen, Haotian Jiang, Ming-Chun Huang
The Smart Insole: A Pilot Study of Fall Detection. BODYNETS (2019)
Haotian Jiang, Janardhan Kulkarni, Sahil Singla
Online Geometric Discrepancy for Stochastic Arrivals with Applications to Envy Minimization. CoRR (2019)
Xiuzhen Guo, Yuan He, Jia Zhang, Haotian Jiang
WIDE: physical-level CTC via digital emulation. IPSN (2019)
Anupam Gupta, Haotian Jiang, Ziv Scully, Sahil Singla
The Markovian Price of Information. IPCO (2019)
Venkatesan Guruswami, Haotian Jiang
Near-optimal Repair of Reed-Solomon Codes with Low Sub-packetization. ISIT (2019)
Yi Cai, Haotian Jiang, Diliang Chen, Ming-Chun Huang
Online learning classifier based behavioral biometrie authentication. BSN (2018)
Weina Wang, Mor Harchol-Balter, Haotian Jiang, Alan Scheller-Wolf, R. Srikant
Delay Asymptotics and Bounds for Multi-Task Parallel Jobs. SIGMETRICS Perform. Evaluation Rev. 46 (3) (2018)
T.-H. Hubert Chan, Haotian Jiang, Shaofeng H.-C. Jiang
A Unified PTAS for Prize Collecting TSP and Steiner Tree Problem in Doubling Metrics. ESA (2018)
Haotian Jiang, James Starkman, Menghan Liu, Ming-Chun Huang
Food Nutrition Visualization on Google Glass: Design Tradeoff and Field Evaluation. IEEE Consumer Electron. Mag. 7 (3) (2018)
Haotian Jiang, Yi Cai, Xiao Zeng, Ming-Chun Huang
Does background really matter? Worker activity recognition in unconstrained construction environment. BSN (2018)
Diliang Chen, Jia Chen, Haotian Jiang, Ming-Chun Huang
Risk Factors Identification for Work-Related Musculoskeletal Disorders with Wearable and Connected Gait Analytics System. CHASE (2017)
Haotian Jiang, Jian Li, Mingda Qiao
Practical Algorithms for Best-K Identification in Multi-Armed Bandits. CoRR (2017)
Weina Wang, Mor Harchol-Balter, Haotian Jiang, Alan Scheller-Wolf, R. Srikant
Asymptotic response time analysis for multi-task parallel jobs. CoRR (2017)
T.-H. Hubert Chan, Haotian Jiang, Shaofeng H.-C. Jiang
A Unified PTAS for Prize Collecting TSP and Steiner Tree Problem in Doubling Metrics. CoRR (2017)
Ruoxi Qin, Tian Wang, Haotian Jiang, Qianhong Yan, Weikang Wang, Hichem Snoussi
Cooperative target searching and tracking via UCT with probability distribution model. DSP (2016)
Haotian Jiang
Two Stage Optimization with Recourse and Revocation. CoRR (2016)
Haotian Jiang
An Attempt to Design a Better Algorithm for the Uncapacitated Facility Location Problem. CoRR (2016)
Haotian Jiang, James Starkman, Chia-Hung Kuo, Ming-Chun Huang
Acu Glass: Quantifying Acupuncture Therapy using Google Glass. BODYNETS (2015)