| 2026 | ESA | Parameterized Approximation of Rectangle Stabbing. | Huairui Chu, Ajaykrishnan E. S., Daniel Lokshtanov, Anikait Mundhra, Thomas Schibler, Xiaoyang Xu, Jie Xue |
| 2026 | ICALP | Visibility Queries in Simple Polygons. | Sujoy Bhore, Chih-Hung Liu, Anurag Murty Naredla, Yakov Nekrich, Eunjin Oh, Andr van Renssen, Frank Staals, Haitao Wang, Jie Xue |
| 2026 | ICALP | Near-Optimal Dynamic Data Structures for Maximum Depth and Klee's Measure of Boxes. | Sujoy Bhore, Subhash Suri, Jie Xue, Xiongxin Yang, Jiumu Zhu |
| 2026 | STOC | Fine-Grained Bounds for Courcelle's Theorem. | Daniel Lokshtanov, Fahad Panolan, Saket Saurabh, Jie Xue, Meirav Zehavi |
| 2025 | ICALP | Robust Contraction Decomposition for Minor-Free Graphs and Its Applications. | Sayan Bandyapadhyay, William Lochet, Daniel Lokshtanov, Dniel Marx, Pranabendu Misra, Daniel Neuen, Saket Saurabh, Prafullkumar Tale, Jie Xue |
| 2025 | SODA | PTASes for Euclidean TSP with Unit Disk and Unit Square Neighborhoods. | Sayan Bandyapadhyay, Katie Clinch, William Lochet, Daniel Lokshtanov, Saket Saurabh, Jie Xue |
| 2025 | SODA | Crossing Number in Slightly Superexponential Time (Extended Abstract). | Daniel Lokshtanov, Fahad Panolan, Saket Saurabh, Roohani Sharma, Jie Xue, Meirav Zehavi |
| 2025 | SODA | Parameterized Approximation for Capacitated | Daniel Lokshtanov, Abhishek Sahu, Saket Saurabh, Vaishali Surianarayanan, Jie Xue |
| 2025 | STOC | Approximation Algorithms for the Geometric Multimatching Problem. | Shinwoo An, Eunjin Oh, Jie Xue |
| 2025 | STOC | Efficiently Finding and Counting Patterns with Distance Constraints in Sparse Graphs. | Daniel Lokshtanov, Fahad Panolan, Saket Saurabh, Jie Xue, Meirav Zehavi |
| 2025 | STOC | Subexponential Parameterized Algorithms for Hitting Subgraphs. | Daniel Lokshtanov, Fahad Panolan, Saket Saurabh, Jie Xue, Meirav Zehavi |
| 2024 | ESA | Sparse Outerstring Graphs Have Logarithmic Treewidth. | Shinwoo An, Eunjin Oh, Jie Xue |
| 2024 | FOCS | Efficient Approximation of Fractional Hypertree Width. | Viktoriia Korchemna, Daniel Lokshtanov, Saket Saurabh, Vaishali Surianarayanan, Jie Xue |
| 2024 | MICCAI | Multi-frequency and Smoke Attention-Aware Learning Based Diffusion Model for Removing Surgical Smoke. | Hao Li, Xiangyu Zhai, Jie Xue, Changming Gu, Baolong Tian, Tingxuan Hong, Bin Jin, Dengwang Li, Pu Huang |
| 2024 | SODA | Euclidean Bottleneck Steiner Tree is Fixed-Parameter Tractable. | Sayan Bandyapadhyay, William Lochet, Daniel Lokshtanov, Saket Saurabh, Jie Xue |
| 2023 | AAAI | Clustering What Matters: Optimal Approximation for Clustering with Outliers. | Akanksha Agrawal, Tanmay Inamdar, Saket Saurabh, Jie Xue |
| 2023 | ESA | Fault Tolerance in Euclidean Committee Selection. | Chinmay Sonar, Subhash Suri, Jie Xue |
| 2023 | SODA | A Framework for Approximation Schemes on Disk Graphs. | Daniel Lokshtanov, Fahad Panolan, Saket Saurabh, Jie Xue, Meirav Zehavi |
| 2022 | IJCAI | Multiwinner Elections under Minimax Chamberlin-Courant Rule in Euclidean Space. | Chinmay Sonar, Subhash Suri, Jie Xue |
| 2022 | SODA | Subexponential Parameterized Algorithms for Cut and Cycle Hitting Problems on H<-Minor-Free Graphs. | Sayan Bandyapadhyay, William Lochet, Daniel Lokshtanov, Saket Saurabh, Jie Xue |
| 2022 | SODA | Dynamic Geometric Set Cover, Revisited. | Timothy M. Chan, Qizheng He, Subhash Suri, Jie Xue |
| 2022 | SODA | Subexponential Parameterized Algorithms on Disk Graphs (Extended Abstract). | Daniel Lokshtanov, Fahad Panolan, Saket Saurabh, Jie Xue, Meirav Zehavi |
| 2021 | ESA | Efficient Algorithms for Least Square Piecewise Polynomial Regression. | Daniel Lokshtanov, Subhash Suri, Jie Xue |
| 2019 | SODA | Colored range closest-pair problem under general distance functions. | Jie Xue |
| 2019 | WADS | Improved Algorithms for the Bichromatic Two-Center Problem for Pairs of Points. | Haitao Wang, Jie Xue |
| 2019 | WADS | Range Closest-Pair Search in Higher Dimensions. | Timothy M. Chan, Saladi Rahul, Jie Xue |
| 2017 | WADS | Stochastic Closest-Pair Problem and Most-Likely Nearest-Neighbor Search in Tree Spaces. | Jie Xue, Yuan Li |
| 2017 | WADS | On the Expected Diameter, Width, and Complexity of a Stochastic Convex-Hull. | Jie Xue, Yuan Li, Ravi Janardan |
| 2013 | CSCWD | A muti-agent membrane computing technique for conceptual design. | Xiyu Liu, Jie Xue, Xiaolin Yu |
| 2012 | CSCWD | Applied membrane computation in creative design. | Jie Xue, Xiyu Liu |
| 2006 | APSCC | The Research on the Application Strategies of Information and Communication Technologies to Promote the Knowledge Transfer in Regional Innovation System. | Jie Xue, Zhengang Zhang |