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Tianlong Chen

48 papers hereh-index 10453 citations54 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author24
  • last author22

Across the 47 of 48 papers where every author was matched, so the position is known.

fields
  • cs.CL11
  • cs.AI9
  • cs.LG9
  • cs.CV7
  • cs.CR5
  • cs.IR5
same name
  • Tianlong Chen — 53 papers, h 41
  • Tianlong Chen — 19 papers, h 21
  • Tianlong Chen — 19 papers, h 7
  • Tianlong Chen — 13 papers, h 5
  • Tianlong Chen — 11 papers, h 4
  • Tianlong Chen — 11 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedContextualization Distillation from Large Language Model for Knowledge Graph Completion

6 citations · 15 across the 38 of their papers we have counts for

collaborators
Showing cs.IRShow all

4 papers · 1 filter

cs.IR2026

Diffusion-GR2: Diffusion Generative Reasoning Re-ranker

Zhuoxuan Zhang, Kangqi Ni, Yuhang Chen +12

Generative reasoning re-rankers achieve strong recommendation accuracy by emitting a chain-of-thought before re-ordering a candidate list, but they are slow at inference: an autore…

cs.IR2026

End-to-End Dynamic Sparsity for Resource-Adaptive LLM Inference

Yuhang Chen, Jinhao Duan, Ruichen Zhang +11

Large Language Models (LLMs) inference is typically deployed under a static resource assumption, where models execute a fixed computational graph regardless of the runtime environm…

cs.IR2026

Bifocal Diffusion Language Models: Asymmetric Bidirectional Context for Parallel Generation

Yuhang Chen, Xianfeng Wu, Jinhao Duan +11

Discrete diffusion language models (dLLMs) recover masked tokens in parallel, offering significant speedups over autoregressive (AR) generation. However, such promising frameworks…

cs.IR2026

ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation

Yihua Zhang, Mingfu Liang, Jiyan Yang +11

Recent advances in multimodal recommenders excel at feature fusion but remain opaque and inefficient decision-makers, lacking explicit reasoning and self-awareness of uncertainty.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.