Xianglong Liu
Xianglong Liu has 4 papers in our library, in 2025–2026, most of them on Language models & pretraining, Code & programming languages, Evaluation & benchmarks; often with Aishan Liu, Jian Yang, Linzheng Chai.
OpenAlex · ORCID · Wikidata · h-index 58 · 392 works · 12,457 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 62 times in our library · 11 more in our library without a page yet · ⭐ Paper Stars ranking: #9126
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArtificial Intelligence · 4 worksArts and Humanities · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 3 works
🧭 Topics 5Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 1 workCode & programming languages · 2 worksEvaluation & benchmarks · 1 workInterpretability · 1 work
Works by year
2020s
Papers
- Dynamic Parallel Tree Search for Efficient LLM Reasoning (2025 · 13 citations)
Tree-of-Thoughts (ToT) style search, often driven by MCTS, improves LLM reasoning, but prior work has focused on accuracy rather than cost. - SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents (2026 · 3 citations)
Web agents built on large vision–language models (LVLMs) can browse sites, fill in forms and run multi-step tasks. - Scaling Laws for Code: Every Programming Language Matters (2026 · 2 citations)
Classic scaling laws treat code as a single, language-agnostic domain. In practice, programming languages (PLs) contribute unequally during pre-training, so loss predictions for multilingual code LLMs can be inaccurate. This study runs more than 1000 pre-training experiments from scratch, costing roughly 336,000 H800… - UCoder: Unsupervised Code Generation by Internal Probing of Large Language Models (2026 · 1 citation)
Code-focused LLMs usually improve through supervised instruction tuning on curated problem–solution pairs, or on synthetic data derived from real code snippets.
All works
- Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetRuihao Gong et al.2019 · 487 citations
- Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetErkun Yang et al.2017 · 331 citations
- Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLi Liu et al.2017 · 288 citations
- Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetXiangpeng Li et al.2019 · 280 citations
- Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetKun Wei et al.2019 · 98 citations
- Hash Bit Selection: A Unified Solution for Selection Problems in Hashing ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXianglong Liu et al.2013 · 90 citations
- Graph Attention Based Proposal 3D ConvNets for Action Detection ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetJin Li et al.2020 · 58 citations
- Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetRenshuai Tao et al.2022 · 50 citations
- Dynamic Parallel Tree Search for Efficient LLM ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yifu Ding, Wentao Jiang, Shunyu Liu, et al.2025 · 13 citations
- SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web AgentsFindings of the Association for Computational LinguisticsZonghao Ying, Yangguang Shao, Jianle Gan, et al.2026 · 3 citations
- Scaling Laws for Code: Every Programming Language MattersFindings of the Association for Computational LinguisticsJian Yang, Shuyue Guo, Linzheng Chai, et al.2026 · 2 citations
- UCoder: Unsupervised Code Generation by Internal Probing of Large Language ModelsFindings of the Association for Computational LinguisticsJiajun Wu, Jian Yang, Wei Zhang, et al.2026 · 1 citation
- LoopCoder: Scaling Code Intelligence via Looped Language Models ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetJian Yang et al.2026
- Uncovering Strategic Egoism Behaviors in Large Language Models ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYaoyuan Zhang et al.2026
- ADVM'21 ↗ACM International Conference on Multimedia (ACM MM) · no summary yetAishan Liu et al.2021
Co-authors here
- Aishan Liu ×2
- Jian Yang ×2
- Linzheng Chai ×2
- Wei Zhang ×2
- Zhoujun Li ×2
- Bryan Dai
- Dacheng Tao
- Jiajun Wu
- Jing Zhang
- Jinyang Guo
- Mingchuan Zhang
- Shunyu Liu
Venues
- Findings of the Association for Computational Linguistics ×3: Findings of the Association for Computational Linguistics 2026 ×3
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×3
- Proceedings of the AAAI Conference on Artificial Intelligence ×3
- Findings of the Association for Computational Linguistics: ACL 2026 ×2
- IEEE/CVF International Conference on Computer Vision (ICCV) ×2
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2025
- ACM International Conference on Multimedia (ACM MM)
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