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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.

4 papers in our library · 2025–2026

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

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 39 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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.
  3. 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…
  4. 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

15 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. LoopCoder: Scaling Code Intelligence via Looped Language Models ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetJian Yang et al.2026
  10. Uncovering Strategic Egoism Behaviors in Large Language Models ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYaoyuan Zhang et al.2026
  11. ADVM'21 ↗ACM International Conference on Multimedia (ACM MM) · no summary yetAishan Liu et al.2021

 Co-authors here

12 of 18 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 62 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

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