Computer Science PhD Program

Siyao Guo

• Nick Gravin, Siyao Guo, Tsz Chiu Kwok and Pinyan Lu:  Concentration Bounds for Almost K-wise Independence with Applications to Non-Uniform Security. In SODA 2021.

• Siyao Guo, Qian Li, Qipeng Liu and Jiapeng Zhang:  Unifying Presampling via Concentration Bounds. In TCC 2021.

• Yevgeniy Dodis, Siyao Guo, Noah Stephens-Davidowitz and Zhiye Xie:  No Time to Hash: Provable Super-Efficient Entropy Accumulation. In CRYPTO 2021.

• Yevgeniy Dodis, Siyao Guo, Noah Stephens-Davidowitz and Zhiye Xie:  On Linear Extractors for Independent Sources. In ITC 2021.

• Alexander Golovnev, Siyao Guo, Thibaut Horel, Sunoo Park and Vinod Vaikuntanathan: Data Structures Meet Cryptography:  3 SUM with Preprocessing.  In STOC 2020.

• Divesh Aggarwal, Siyao Guo, Maciej Obremski, Joao Ribeiro and Noah Stephens-Davidowitz:  Extractor Lower Bounds, Revisited.  In RANDOM 2020.

• Kai-Min Chung, Siyao Guo, Qipeng Liu and Luowen Qian:  Tight Quantum Time-Space Tradeoffs for Function Inversion. In FOCS 2020.

• Siyao Guo, Pritish Kamath, Alon Rosen, Katerina Sotiraki:  Limits on the Efficiency of (Ring) LWE based Non-Interactive Key Exchange. In PKC 2020 (and Invited to Journal of Cryptology). 

• Marshall Ball, Siyao Guo and Daniel Wichs:  Non-Malleable Codes for Decision Trees.  In CRYPTO 2019.

Guyue Liu

• ​Liu, Guyue, et al. "Don't Yank My Chain: Auditable {NF} Service Chaining." 18th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 21). 2021.

• Ren, Y., Liu, G., Nitu, V., Shao, W., Kennedy, R., Parmer, G., ... & Tchana, A. (2020). Fine-grained isolation for scalable, dynamic, multi-tenant edge clouds. In 2020 {USENIX} Annual Technical Conference ({USENIX}{ATC} 20) (pp. 927-942).

Qiaoyu Tan​

• Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan and Zhimeng Jiang. Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs, The Web Conference (WWW), 2023.

• Qiaoyu Tan, Ninghao Liu, Xiao Huang, Soo-Hyun Choi, Li Li, Rui Chen, and Xia Hu. S2GAE: Self-supervised graph autoencoders are generalizable learners with graph masking. In Proceedings of ACM International Conference on Web Search and Data Mining (WSDM), 2023.

• Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi and Xia Hu. Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection, ACM International Conference on Web Search and Data Mining (WSDM), 2023.

• Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, and Xia Hu. Collaborative graph neural Networks for attributed network embedding. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023. 

• Sirui Ding, Qiaoyu Tan, Chia-yuan Chang, Na Zou, Kai Zhang, Nathan R. Hoot, Xiaoqian Jiang, and Xia Hu. Multi-task learning for post-transplant cause of death analysis. In Proceedings of AMIA Annual Symposium (AMIA), 2023.

• Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li and Ninghao Liu. GiGaMA: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. ACM International Conference on Information and Knowledge Management (CIKM), 2023.

• Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng, Bhargav, Bhushanam, Yuandong Tian, Arun Kejariwal and Xia Hu. DreamShard: Generalizable Embedding Table Placement for Recommender Systems. Neural Information Processing Systems (NeurIPS), 2022.

• Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, and Xia Hu. Dynamic memory based attention network for sequential recommendation. In Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2021.

• Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, and Xia Hu. Learning to hash with graph neural networks for recommender systems. In Proceedings of The Web Conference (WWW), 2020.

Shengjie Wang

• Machine Learning Force Fields with Data Cost Aware Training. A. Bukharin, T. Liu, S. Wang, S. Zuo, W. Gao, W. Yan, T. Zhao. ICML23

• Constrained Robust Submodular Partitioning. S Wang*, T Zhou*, C Lavania, J Bilmes. NeurIPS21

• Robust Curriculum Learning: from clean label detection to noisy label self-correction.T Zhou*, S Wang*, J Bilmes. ICLR21

• Bias also matters: Bias attribution for deep neural network explanation. S Wang*, T Zhou*, J Bilmes. ICML19

• Analysis of deep neural networks with extended data Jacobian matrix. S Wang, A Mohamed, R Caruana, J Bilmes, M Plilipose, M Richardson, K Geras, G Urban, O Aslan. ICML16

Hongyi Wen

• Yuanhe Guo, Haoming Liu, and Hongyi Wen. "Towards Personalized Prompt-Model Retrieval for Generative Recommendation." arXiv preprint arXiv:2308.02205 (2023).

• Hongyi Wen, Xinyang Yi, Tiansheng Yao, Jiaxi Tang, Lichan Hong, Ed H. Chi. 2022. Distributionally-robust Recommendations for Improving Worst-case User Experience. In Proceedings of the ACM Web Conference 2022 (WWW ’22).

• Hongyi Wen, Michael Sobolev, Rachel Vitale, James Kizer, JP Pollak, Frederick Muench, Deborah Estrin. “mPulse Mobile Sensing Model for Passive Detection of Impulsive Behavior: Exploratory Prediction Study”. JMIR Mental Health, 2021.

• Hongyi Wen, Longqi Yang, Deborah Estrin. “Leveraging post-click feedback for content recommendations”. Proceedings of the 13th ACM Conference on Recommender Systems (RecSys), 2019.

• Hongyi Wen, Julian Ramos Rojas, and Anind K. Dey. "Serendipity: Finger gesture recognition using an off-the-shelf smartwatch." Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI), 2016.

Jie Xue

• Haitao Wang*, Jie Xue*, "Near-optimal algorithms for shortest paths in weighted unit-disk graphs". In the 35th International Symposium on Computational Geometry (SoCG), 2019. Also in Discrete & Computational Geometry, 2020.

• Pankaj K. Agarwal*, Hsien-Chih Chang*, Subhash Suri*, Allen Xiao*, Jie Xue*, "Dynamic geometric set cover and hitting set". In the 36th International Symposium on Computational Geometry (SoCG), 2020.

• Jie Xue, Yuan Li, Rahul Saladi, Ravi Janardan, "Searching for the closest-pair in a query translate". In the 35th International Symposium on Computational Geometry (SoCG), 2019.

Chen Zhao

• Zhao, C., Su, Y., Pauls, A., & Platanios, E. A.  Bridging the generalization gap in text-to-SQL parsing with schema expansion. ACL 2022.

• Zhao, C., Xiong, C., Boyd-Graber, J., & Daumé III, H. (2021). Distantly-supervised evidence retrieval enables question answering without evidence annotation. EMNLP 2021.

• Zhao, C., Xiong, C., Qian, X., & Boyd-Graber, J. . Complex factoid question answering with a free-text knowledge graph. WWW 2020.

• Zhao, C., Xiong, C., Rosset, C., Song, X., Bennett, P., & Tiwary, S. (2020). Transformer-xh: Multi-evidence reasoning with extra hop attention. ICLR 2020.