Sishuo Chen

Orcid: 0009-0007-8845-5817

According to our database1, Sishuo Chen authored at least 21 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Evolving Skill-Structured Attack Memory Enhances LLM Jailbreaking.
CoRR, May, 2026

MAC: A Conversion Rate Prediction Benchmark Featuring Labels Under Multiple Attribution Mechanisms.
CoRR, March, 2026

EST: Towards Efficient Scaling Laws in Click-Through Rate Prediction via Unified Modeling.
CoRR, February, 2026

Modeling Cascaded Delay Feedback for Online Net Conversion Rate Prediction: Benchmark, Insights and Solutions.
CoRR, January, 2026

Modeling Cascaded Delay Feedback for Online Net Conversion Rate Prediction: Benchmark, Insights and Solutions.
Proceedings of the ACM Web Conference 2026, 2026

Delayed Feedback Modeling for Post-Click Gross Merchandise Volume Prediction: Benchmark, Insights and Approaches.
Proceedings of the ACM Web Conference 2026, 2026

2025
Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

See Beyond a Single View: Multi-Attribution Learning Leads to Better Conversion Rate Prediction.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024
Towards Multimodal Video Paragraph Captioning Models Robust to Missing Modality.
CoRR, 2024

Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

BadActs: A Universal Backdoor Defense in the Activation Space.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

TempCompass: Do Video LLMs Really Understand Videos?
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge.
CoRR, 2023

FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Holistic Sentence Embeddings for Better Out-of-Distribution Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Translation as Cross-Domain Knowledge: Attention Augmentation for Unsupervised Cross-Domain Segmenting and Labeling Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Feature Space Singularity for Out-of-Distribution Detection.
Proceedings of the Workshop on Artificial Intelligence Safety 2021 (SafeAI 2021) co-located with the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), 2021


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