| 2026 | COLT | A Quasi-Polynomial Time Mean Estimator Under Mean-Shift Contamination with Unknown Covariance. | Ilias Diakonikolas, Jingyi Gao, Giannis Iakovidis, Daniel M. Kane, Sihan Liu, Thanasis Pittas |
| 2026 | DASFAA | ANS-CD: A Novel Label-Efficient Community Detection Approach via Active Node Selection. | Junchang Xin, Sihan Liu, Mingcan Wang, Kaifu Long, Chenxi Yao, Zhiqiong Wang |
| 2025 | FOCS | PTF Testing Lower Bounds for Non-Gaussian Component Analysis. | Ilias Diakonikolas, Daniel M. Kane, Sihan Liu, Thanasis Pittas |
| 2025 | ICML | Batch List-Decodable Linear Regression via Higher Moments. | Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Sihan Liu, Thanasis Pittas |
| 2025 | MICCAI | IKAN: Interactive KAN with Modulation Fusion for Medical Image Segmentation. | Sihan Liu, Tonghua Wan, Yuxin Cai, Shengcai Chen, Bo Hu, Yan Wan, Wu Qiu |
| 2025 | MICCAI | DCKAN: A Dual-Coordinate KAN Framework for Fibrous Cap Segmentation on Carotid OCT. | Tonghua Wan, Sihan Liu, Yuxin Cai, Shengcai Chen, Yan Wan, Bo Hu, Wu Qiu |
| 2025 | STOC | Entangled Mean Estimation in High Dimensions. | Ilias Diakonikolas, Daniel M. Kane, Sihan Liu, Thanasis Pittas |
| 2024 | COLT | Testable Learning of General Halfspaces with Adversarial Label Noise. | Ilias Diakonikolas, Daniel M. Kane, Sihan Liu, Nikos Zarifis |
| 2024 | CVPR | Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation. | Sihan Liu, Yiwei Ma, Xiaoqing Zhang, Haowei Wang, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji |
| 2024 | FOCS | Replicability in High Dimensional Statistics. | Max Hopkins, Russell Impagliazzo, Daniel M. Kane, Sihan Liu, Christopher Ye |
| 2024 | GLOBECOM | Multi-stage Programmable Raman Amplifier-based Online Transmission Optimization for Multi-band Dynamic Optical Networks. | Sihan Liu, Rentao Gu, Xiaoxuan Gao, Yuefeng Ji |
| 2024 | SODA | Online Robust Mean Estimation. | Daniel M. Kane, Ilias Diakonikolas, Hanshen Xiao, Sihan Liu |
| 2024 | STOC | Super Non-singular Decompositions of Polynomials and Their Application to Robustly Learning Low-Degree PTFs. | Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis |
| 2024 | STOC | Testing Closeness of Multivariate Distributions via Ramsey Theory. | Ilias Diakonikolas, Daniel M. Kane, Sihan Liu |
| 2023 | COLT | Exponential Hardness of Reinforcement Learning with Linear Function Approximation. | Sihan Liu, Gaurav Mahajan, Daniel Kane, Shachar Lovett, Gellrt Weisz, Csaba Szepesvri |
| 2023 | SODA | Sampling Equilibria: Fast No-Regret Learning in Structured Games. | Daniel Beaglehole, Max Hopkins, Daniel Kane, Sihan Liu, Shachar Lovett |
| 2022 | COLT | Computational-Statistical Gap in Reinforcement Learning. | Daniel Kane, Sihan Liu, Shachar Lovett, Gaurav Mahajan |
| 2019 | IGARSS | Introduction of GF-5 Satellite and Ability of Monitoring NO2 and O3 Column Density from EMI. | Chunyan Zhou, Zunjian Bian, Yingxia He, Qing Li, Sihan Liu, Shaohua Zhao, Liangxiao Cheng, Chao Yu, Liangfu Chen, Zhongting Wang, Lianhua Zhang |
| 2019 | IGARSS | Environmental Policies Assessment of Air Pollution and Spatio-Temporal Change of Tropospheric No2 Column Density of '2+26' Cities in the Past Nine Years Based on Omi Product. | Chunyan Zhou, Yuhuan Zhang, Zunjian Bian, Yingxia He, Qing Li, Zhongting Wang, Lianhua Zhang, Pengfei Ma, Hui Chen, Jun Sun, Lin Ge, Sihan Liu |
| 2009 | IGARSS | The Angular & Spectral Kernel Model for BRDF and Albedo Retrieval. | Sihan Liu, Qiang Liu, Qinhuo Liu, Jianguang Wen, Xiaowen Li, Qing Xiao, Xiaozhou Xin |