| 2026 | ACL | RealSec-bench: A Benchmark for Evaluating Secure Code Generation in Real-World Repositories. | Yanlin Wang, Ziyao Zhang, Chong Wang, Xinyi Xu, Mingwei Liu, Yong Wang, Jiachi Chen, Zibin Zheng |
| 2026 | ACL | JanusMM: A Benchmark for Self-Deprecation Understanding in Real-World Multimodal Conversations. | Xinyi Xu, Bingguang Hao, Yongyi Xiong, Zimo Chen, Xinchen Liu, Hongxin Guo, Xuelong Wang, Silin Zhou, Shihan Dou |
| 2025 | EMNLP | Uncovering Scaling Laws for Large Language Models via Inverse Problems. | Arun Verma, Zhaoxuan Wu, Zijian Zhou, Xiaoqiang Lin, Zhiliang Chen, Rachael Hwee Ling Sim, Rui Qiao, Jingtan Wang, Nhung Bui, Xinyuan Niu, Wenyang Hu, Gregory Kang Ruey Lau, Zi-Yu Khoo, Zitong Zhao, Xinyi Xu, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low |
| 2025 | GLOBECOM | Collaborative Inference Scheme with Small and Large Language Models in Edge Networks. | Xinyi Xu, Gang Feng, Yijing Liu, Shuang Qin, Yunxiang Wang |
| 2025 | ICLR | Efficient Top-m Data Values Identification for Data Selection. | Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Bryan Kian Hsiang Low |
| 2024 | ACML | I Mean I Am a Mouse: meets for Bilingual Multimodal Meme Sarcasm Classification from Large Language Models. | Yunzhe Liu, Xinyi Xu |
| 2024 | EMNLP | Position Paper: Data-Centric AI in the Age of Large Language Models. | Xinyi Xu, Zhaoxuan Wu, Rui Qiao, Arun Verma, Yao Shu, Jingtan Wang, Xinyuan Niu, Zhenfeng He, Jiangwei Chen, Zijian Zhou, Gregory Kang Ruey Lau, Hieu Dao, Lucas Agussurja, Rachael Hwee Ling Sim, Xiaoqiang Lin, Wenyang Hu, Zhongxiang Dai, Pang Wei Koh, Bryan Kian Hsiang Low |
| 2024 | ICML | Distributionally Robust Data Valuation. | Xiaoqiang Lin, Xinyi Xu, Zhaoxuan Wu, See-Kiong Ng, Bryan Kian Hsiang Low |
| 2024 | SDM | 3D Molecular Geometry Analysis with 2D Graphs. | Zhao Xu, Yaochen Xie, Youzhi Luo, Xuan Zhang, Xinyi Xu, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji |
| 2023 | AAAI | Probably Approximate Shapley Fairness with Applications in Machine Learning. | Zijian Zhou, Xinyi Xu, Rachael Hwee Ling Sim, Chuan Sheng Foo, Bryan Kian Hsiang Low |
| 2023 | AISTATS | FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery. | Xinyi Xu, Zhaoxuan Wu, Arun Verma, Chuan Sheng Foo, Bryan Kian Hsiang Low |
| 2023 | HCI | Study on the Consumption Difference of Children's Smartwatches Under SOR Theory. | Tianhao Li, Xinyi Xu, Cong Cao |
| 2023 | ICML | Collaborative Causal Inference with Fair Incentives. | Rui Qiao, Xinyi Xu, Bryan Kian Hsiang Low |
| 2023 | ICML | Fair yet Asymptotically Equal Collaborative Learning. | Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Chuan-Sheng Foo, Bryan Kian Hsiang Low |
| 2023 | IGARSS | Electromagnetic Transfer Function Confidence Analysis Evaluated at Usarray Site NDE29. | Xinyi Xu, Mark D. Butala |
| 2023 | IGARSS | A New Cloud Feature Difference Loss For Enhancing The Detection Of Clouds In Remote Sensing Images. | Xinyi Xu, Wei He, Yu Xia, Hongyan Zhang |
| 2022 | AAAI | Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards. | Sebastian Shenghong Tay, Xinyi Xu, Chuan Sheng Foo, Bryan Kian Hsiang Low |
| 2022 | ICML | On the Convergence of the Shapley Value in Parametric Bayesian Learning Games. | Lucas Agussurja, Xinyi Xu, Bryan Kian Hsiang Low |
| 2022 | IGARSS | A Parametric Method for Robust Magnetotelluric Transfer Function Estimation Evaluated with Data at Different Sampling Frequencies. | Xinyi Xu, Bo Yang, Mark D. Butala |
| 2022 | IJCAI | Data Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges. | Rachael Hwee Ling Sim, Xinyi Xu, Bryan Kian Hsiang Low |
| 2022 | PLDI | Odin: on-demand instrumentation with on-the-fly recompilation. | Mingzhe Wang, Jie Liang, Chijin Zhou, Zhiyong Wu, Xinyi Xu, Yu Jiang |
| 2022 | UIC | Discovering Fairness-aware Structures from Social Networks Based on Concept-cognitive Learning. | Min Tao, Fei Hao, Yishui Zhu, Doo-Soon Park, Xinyi Xu |
| 2021 | IGARSS | An Evaluation of Robust Remote Reference and Parametric Magnetotelluric Transfer Function Estimation. | Xinyi Xu, Mark D. Butala |
| 2021 | INDIN | Data Acquisition, Filtering and Buffering Protocol Design for Edge Computing Nodes. | Xinyi Xu, Wenbin Dai |
| 2021 | ICSE | Industry Practice of Coverage-Guided Enterprise-Level DBMS Fuzzing. | Mingzhe Wang, Zhiyong Wu, Xinyi Xu, Jie Liang, Chijin Zhou, Huafeng Zhang, Yu Jiang |
| 2021 | KSEM | SEGAR: Knowledge Graph Augmented Session-Based Recommendation. | Xinyi Xu, Yan Tang, Zhuoming Xu |
| 2021 | PIMRC | Adaptive Modulation for Wireless Federated Learning. | Xinyi Xu, Guanding Yu, Shengli Liu |
| 2019 | CVPR | Deep Asymmetric Metric Learning via Rich Relationship Mining. | Xinyi Xu, Yanhua Yang, Cheng Deng, Feng Zheng |
| 2019 | IJCAI | Zero-shot Metric Learning. | Xinyi Xu, Huanhuan Cao, Yanhua Yang, Erkun Yang, Cheng Deng |
| 2018 | IJCAI | Deep View-Aware Metric Learning for Person Re-Identification. | Pu Chen, Xinyi Xu, Cheng Deng |
| 2018 | ICSE | Identifying TraIn: a neglected form of socio-technical incongruence. | Xiao Wang, Lu Xiao, Ye Yang, Xinyi Xu, Yu Jiang |
| 2014 | VTC | Adaptive Soft-Decision Aided Differential Modulation for Cooperative Uplink Transmission Relying on Radio-Over-Fiber Backhaul. | Dandan Liang, Varghese Antony Thomas, Xinyi Xu, Soon Xin Ng, Mohammed El-Hajjar, Lajos Hanzo |
| 2012 | WCNC | Effects of practical impairments on cooperative distributed antennas combined with fractional frequency reuse. | Jie Zhang, Rong Zhang, Xinyi Xu, Guangjun Li, Lajos Hanzo |
| 2011 | VTC | Digital RoF Aided Cooperative Distributed Antennas with FFR in Multicell Multiuser Networks. | Xinyi Xu, Rong Zhang, Lajos Hanzo |
| 2010 | VTC | Imperfect Radio over Fibre Aided Distributed Antennas with Fractional Frequency Reuse. | Xinyi Xu, Rong Zhang, Lajos Hanzo |
| 2010 | VTC | Co-Channel Interference Mitigation Capability of Fixed Relays Connected by Optical Fibre. | Rong Zhang, Xinyi Xu, Lajos Hanzo |