Shu Wu
Shu Wu has 4 papers in our library, in 2025–2026, most of them on Bias, fairness & safety, Text generation, Evaluation & benchmarks; often with Qiang Liu, Dingkun Long, Jinghao Zhang.
OpenAlex · ORCID · Wikidata · h-index 40 · 286 works · 10,703 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 112 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #9590
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArts and Humanities · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 worksInformation Systems · 1 workSafety Research · 1 workSocial Sciences · 1 work
🧭 Topics 5Research subjects and languages the work is about.Text generation · 1 workBias, fairness & safety · 2 worksEvaluation & benchmarks · 1 workInformation retrieval & search · 1 workInterpretability · 1 work
Works by year
2020s
Papers
- Personalized Text Generation with Contrastive Activation Steering (2025 · 13 citations)
The paper addresses personalized text generation: producing outputs, such as emails or headlines, that match an individual user's writing style as shown in their past texts. - Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing (2026)
Existing Composed Image Retrieval (CIR) benchmarks such as CIRR, FashionIQ and CIRCO cover few modification types and have overlapping category labels. - RLShield: Dynamic Jailbreak Detection for LLMs via Reinforced Adaptive Learning (2026)
Jailbreak detectors for LLMs usually rely on fixed decision thresholds or fixed internal components. This makes them brittle when attack styles change or the underlying model is updated. RLShield treats threshold choice as a continuous control problem and learns a separate cut-off for each prompt. The framework has… - When Safety Alignment Fails to Generalize: Probing with Language Game Jailbreaks (2026)
Safety-aligned LLMs are supposed to refuse harmful requests. This paper asks whether those refusals depend on what a prompt means or only on how it looks. Long et al. probe this with "language games": rule-based rewritings of text, such as inserting a syllable before each vowel, that change a prompt's appearance…
All works
- Session-Based Recommendation with Graph Neural Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetShu Wu et al.2019 · 1,561 citations
- Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetQiang Liu et al.2016 · 982 citations
- A Convolutional Approach for Misinformation Identification ↗International Joint Conference on Artificial Intelligence · no summary yetFeng Yu et al.2017 · 526 citations
- Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetYufeng Zhang et al.2020 · 351 citations
- TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetFeng Yu et al.2020 · 231 citations
- Personalized Text Generation with Contrastive Activation SteeringAnnual Meeting of the Association for Computational Linguistics (ACL)Jinghao Zhang, Yuting Liu, Wenjie Wang, et al.2025 · 13 citations
- Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Tingyu Song, Yanzhao Zhang, Mingxin Li, et al.2026
- RLShield: Dynamic Jailbreak Detection for LLMs via Reinforced Adaptive LearningFindings of the Association for Computational LinguisticsZhao Tong, Pengfei Yang, Yimeng Gu, et al.2026
- When Safety Alignment Fails to Generalize: Probing with Language Game JailbreaksFindings of the Association for Computational LinguisticsZewen Long, Yu Peng, Fangming Dong, et al.2026
- Reinforcement Learning–Guided Adaptive Tuning for Out-of-Distribution Harmful Text Detection ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetMengyu Xiang et al.2026
Co-authors here
- Qiang Liu ×2
- Dingkun Long
- Jinghao Zhang
- Kai Chen
- Liang Wang
- Mingxin Li
- Pengjun Xie
- Siyue Zhang
- Tat-Seng Chua
- Tingyu Song
- Wenjie Wang
- Yanzhao Zhang
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×4: ACL 2026, ACL 2025
- Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
- Proceedings of the AAAI Conference on Artificial Intelligence ×2
- International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
- International Joint Conference on Artificial Intelligence
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