DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing. - Xiao Liu 025; Xiaoting Li 001; Rupesh Prajapati; Dinghao Wu (AAAI, 2019)

Enhancing Robustness of Graph Convolutional Networks via Dropping Graph Connections. - Lingwei Chen; Xiaoting Li 001; Dinghao Wu (ECML/PKDD (3), 2020)

Abacus: Precise Side-Channel Analysis. - Qinkun Bao; Zihao Wang; Xiaoting Li 001; James R. Larus; Dinghao Wu (ICSE, 2021)

Watermarking-based Defense against Adversarial Attacks on Deep Neural Networks. - Xiaoting Li 001; Lingwei Chen; Jinquan Zhang; James R. Larus; Dinghao Wu (IJCNN, 2021)

Turning Attacks into Protection: Social Media Privacy Protection Using Adversarial Attacks. - Xiaoting Li 001; Lingwei Chen; Dinghao Wu (SDM, 2021)

ALPHAPROG: Reinforcement Generation of Valid Programs for Compiler Fuzzing. - Xiaoting Li 001; Xiao Liu 025; Lingwei Chen; Rupesh Prajapati; Dinghao Wu (AAAI, 2022)

SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. - Xiaoting Li 001; Yuhang Wu 002; Vineeth Rakesh; Yusan Lin; Hao Yang 007; Fei Wang 062 (CIKM, 2022)

FuzzBoost: Reinforcement Compiler Fuzzing. - Xiaoting Li 001; Xiao Liu 025; Lingwei Chen; Rupesh Prajapati; Dinghao Wu (ICICS, 2022)

Denoising Self-Attentive Sequential Recommendation. - Huiyuan Chen; Yusan Lin; Menghai Pan; Lan Wang; Chin-Chia Michael Yeh; Xiaoting Li 001; Yan Zheng 001; Fei Wang 062; Hao Yang 007 (RecSys, 2022)

TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems. - Huiyuan Chen; Xiaoting Li 001; Kaixiong Zhou; Xia Hu 001; Chin-Chia Michael Yeh; Yan Zheng 001; Hao Yang 007 (RecSys, 2022)

Adversarially Reprogramming Pretrained Neural Networks for Data-limited and Cost-efficient Malware Detection. - Lingwei Chen; Xiaoting Li 001; Dinghao Wu (SDM, 2022)

Adversary for Social Good: Leveraging Attribute-Obfuscating Attack to Protect User Privacy on Social Networks. - Xiaoting Li 001; Lingwei Chen; Dinghao Wu (SecureComm, 2022)

Distilling Knowledge on Text Graph for Social Media Attribute Inference. - Quan Li; Xiaoting Li 001; Lingwei Chen; Dinghao Wu (SIGIR, 2022)

Towards Generating Adversarial Examples on Mixed-type Data. - Han Xu; Menghai Pan; Zhimeng Jiang; Huiyuan Chen; Xiaoting Li 001; Mahashweta Das; Hao Yang 007 (CoRR, 2022)

Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. - Huiyuan Chen; Kaixiong Zhou; Zhimeng Jiang; Chin-Chia Michael Yeh; Xiaoting Li 001; Menghai Pan; Yan Zheng 001; Xia Hu 001; Hao Yang 007 (IJCAI, 2023)

Adversarial Collaborative Filtering for Free. - Huiyuan Chen; Xiaoting Li 001; Vivian Lai; Chin-Chia Michael Yeh; Yujie Fan; Yan Zheng 001; Mahashweta Das; Hao Yang 007 (RecSys, 2023)

TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules. - Weijieying Ren; Xiaoting Li 001; Huiyuan Chen; Vineeth Rakesh; Zhuoyi Wang; Mahashweta Das; Vasant G. Honavar (ICML, 2024)

THeGCN: Temporal Heterophilic Graph Convolutional Network. - Yuchen Yan; Yuzhong Chen; Huiyuan Chen; Xiaoting Li 001; Zhe Xu 007; Zhichen Zeng 001; Zhining Liu 002; Hanghang Tong (CoRR, 2024)

Adversary for Social Good: Leveraging Adversarial Attacks to Protect Personal Attribute Privacy. - Xiaoting Li 001; Lingwei Chen; Dinghao Wu (ACM Trans. Knowl. Discov. Data, 2024)

GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization. - Xiaodong Yang; Xiaoting Li 001; Huiyuan Chen; Yiwei Cai (SDM, 2025)

Advancing Table Understanding of Large Language Models via Feature Re-ordering. - Guanchu Wang; Yuzhong Chen; Huiyuan Chen; Xiran Fan; Junpeng Wang 001; Xiaoting Li 001; Mingzhi Hu; Chia-Yuan Chang 002; Xia Hu 001 (SIGKDD Explor., 2025)