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Journal Articles
- 2024
[j5]Yiran Li, Gongyao Guo, Jieming Shi
, Renchi Yang, Shiqi Shen, Qing Li, Jun Luo:
A versatile framework for attributed network clustering via K-nearest neighbor augmentation. VLDB J. 33(6): 1913-1943 (2024)- 2020
- [j4]Xiaoli Li, Shiqi Shen, Shengxiang Yang, Kang Wang, Yang Li:
Analysis and multi-objective optimization of slag powder process. Appl. Soft Comput. 96: 106587 (2020) - 2018
- [j3]Shiqi Shen, Yun Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun:
Zero-Shot Cross-Lingual Neural Headline Generation. IEEE ACM Trans. Audio Speech Lang. Process. 26(12): 2319-2327 (2018) - 2017
- [j2]Ayana, Shiqi Shen, Yankai Lin, Cun-Chao Tu, Yu Zhao, Zhiyuan Liu, Maosong Sun:
Recent Advances on Neural Headline Generation. J. Comput. Sci. Technol. 32(4): 768-784 (2017) - [j1]Shiqi Shen, Yang Liu, Maosong Sun:
Optimizing Non-Decomposable Evaluation Metrics for Neural Machine Translation. J. Comput. Sci. Technol. 32(4): 796-804 (2017)
Conference and Workshop Papers
- 2024
- [c19]Zhihao Ding, Jieming Shi, Shiqi Shen, Xuequn Shang, Jiannong Cao, Zhipeng Wang, Zhi Gong:
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection. CIKM 2024: 467-476 - [c18]Zhiyuan Chen, Shiqi Shen, Guangyao Shen, Gong Zhi, Xu Chen, Yankai Lin:
Towards Tool Use Alignment of Large Language Models. EMNLP 2024: 1382-1400 - 2023
- [c17]Hui Zhang, Shiqi Shen, Jinhua Xu:
Expression-Guided Attention GAN for Fine-Grained Facial Expression Editing. ICME 2023: 216-221 - [c16]Shiqi Shen, Zetao Jiang, Xiaochun Lei, Xu Wu, Yuting He:
Attention-Capsule Network for Low-Light Image Recognition. IJCNN 2023: 1-7 - [c15]Zeyang Zhang, Xin Wang, Ziwei Zhang, Guangyao Shen, Shiqi Shen, Wenwu Zhu:
Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision. NeurIPS 2023 - [c14]Jiakai Tang, Shiqi Shen, Zhipeng Wang, Zhi Gong, Jingsen Zhang, Xu Chen:
When Fairness meets Bias: a Debiased Framework for Fairness aware Top-N Recommendation. RecSys 2023: 200-210 - 2022
- [c13]Teodora Baluta, Shiqi Shen, S. Hitarth, Shruti Tople, Prateek Saxena:
Membership Inference Attacks and Generalization: A Causal Perspective. CCS 2022: 249-262 - [c12]Zhenlei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen, Ji-Rong Wen:
Unbiased Sequential Recommendation with Latent Confounders. WWW 2022: 2195-2204 - [c11]Kun Lin, Zhenlei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen:
Sequential Recommendation with Decomposed Item Feature Routing. WWW 2022: 2288-2297 - 2021
- [c10]Shiqi Shen, Aashish Kolluri, Zhen Dong, Prateek Saxena, Abhik Roychoudhury:
Localizing Vulnerabilities Statistically From One Exploit. AsiaCCS 2021: 537-549 - [c9]Ivica Nikolic, Radu Mantu, Shiqi Shen, Prateek Saxena:
Refined Grey-Box Fuzzing with Sivo. DIMVA 2021: 106-129 - 2019
- [c8]Teodora Baluta, Shiqi Shen, Shweta Shinde, Kuldeep S. Meel, Prateek Saxena:
Quantitative Verification of Neural Networks and Its Security Applications. CCS 2019: 1249-1264 - [c7]Shiqi Shen, Shweta Shinde, Soundarya Ramesh, Abhik Roychoudhury, Prateek Saxena:
Neuro-Symbolic Execution: Augmenting Symbolic Execution with Neural Constraints. NDSS 2019 - 2017
- [c6]Zheng Leong Chua, Shiqi Shen, Prateek Saxena, Zhenkai Liang:
Neural Nets Can Learn Function Type Signatures From Binaries. USENIX Security Symposium 2017: 99-116 - 2016
- [c5]Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan, Maosong Sun:
Neural Relation Extraction with Selective Attention over Instances. ACL (1) 2016 - [c4]Shiqi Shen, Yong Cheng, Zhongjun He, Wei He, Hua Wu, Maosong Sun, Yang Liu:
Minimum Risk Training for Neural Machine Translation. ACL (1) 2016 - [c3]Shiqi Shen, Shruti Tople, Prateek Saxena:
Auror: defending against poisoning attacks in collaborative deep learning systems. ACSAC 2016: 508-519 - [c2]Yong Cheng, Shiqi Shen, Zhongjun He, Wei He, Hua Wu, Maosong Sun, Yang Liu:
Agreement-Based Joint Training for Bidirectional Attention-Based Neural Machine Translation. IJCAI 2016: 2761-2767 - 2015
- [c1]Shiqi Shen, Yang Liu, Maosong Sun, Huan-Bo Luan:
Consistency-Aware Search for Word Alignment. EMNLP 2015: 1228-1237
Informal and Other Publications
- 2024
- [i12]Zeyang Zhang, Xin Wang, Ziwei Zhang, Guangyao Shen, Shiqi Shen, Wenwu Zhu:
Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision. CoRR abs/2403.05064 (2024) - [i11]Wenkai Yang, Shiqi Shen, Guangyao Shen, Zhi Gong, Yankai Lin:
Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization. CoRR abs/2406.11431 (2024) - [i10]Yiran Li, Gongyao Guo, Jieming Shi, Renchi Yang, Shiqi Shen, Qing Li, Jun Luo:
A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation. CoRR abs/2408.05459 (2024) - 2022
- [i9]Teodora Baluta, Shiqi Shen, S. Hitarth, Shruti Tople, Prateek Saxena:
Membership Inference Attacks and Generalization: A Causal Perspective. CoRR abs/2209.08615 (2022) - 2021
- [i8]Ivica Nikolic, Radu Mantu, Shiqi Shen, Prateek Saxena:
Refined Grey-Box Fuzzing with SIVO. CoRR abs/2102.02394 (2021) - 2020
- [i7]Shiqi Shen, Aashish Kolluri, Zhen Dong, Prateek Saxena, Abhik Roychoudhury:
Localizing Patch Points From One Exploit. CoRR abs/2008.04516 (2020) - 2019
- [i6]Teodora Baluta, Shiqi Shen, Shweta Shinde, Kuldeep S. Meel, Prateek Saxena:
Quantitative Verification of Neural Networks And its Security Applications. CoRR abs/1906.10395 (2019) - 2018
- [i5]Shiqi Shen, Soundarya Ramesh, Shweta Shinde, Abhik Roychoudhury, Prateek Saxena:
Neuro-Symbolic Execution: The Feasibility of an Inductive Approach to Symbolic Execution. CoRR abs/1807.00575 (2018) - 2017
- [i4]Jiacheng Zhang, Yanzhuo Ding, Shiqi Shen, Yong Cheng, Maosong Sun, Huan-Bo Luan, Yang Liu:
THUMT: An Open Source Toolkit for Neural Machine Translation. CoRR abs/1706.06415 (2017) - 2016
- [i3]Ayana, Shiqi Shen, Zhiyuan Liu, Maosong Sun:
Neural Headline Generation with Minimum Risk Training. CoRR abs/1604.01904 (2016) - 2015
- [i2]Shiqi Shen, Yong Cheng, Zhongjun He, Wei He, Hua Wu, Maosong Sun, Yang Liu:
Minimum Risk Training for Neural Machine Translation. CoRR abs/1512.02433 (2015) - [i1]Yong Cheng, Shiqi Shen, Zhongjun He, Wei He, Hua Wu, Maosong Sun, Yang Liu:
Agreement-based Joint Training for Bidirectional Attention-based Neural Machine Translation. CoRR abs/1512.04650 (2015)
Coauthor Index
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