Zijian Jin

14 papers Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
RepoLaunch: Automating Build&Test Pipeline of Code Repositories on ANY Language and ANY Platform.
CoRR
Kenan Li, Rongzhi Li, Linghao Zhang, Qirui Jin, Liao Zhu, Xiaosong Huang, Geng Zhang, Yikai Zhang, Shilin He, Chengxing Xie, Xin Zhang, Zijian Jin, Bowen Li, Chaoyun Zhang, Yu Kang, Yufan Huang, Elsie Nallipogu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
2026 J jnl
Sphinx: Benchmarking and Modeling for LLM-Driven Pull Request Review.
CoRR
Daoan Zhang, Shuo Zhang, Zijian Jin, Jiebo Luo, Shengyu Fu, Elsie Nallipogu
2025 J jnl
Bridging the reality gap: A benchmark for physical reasoning in general world models with various physical phenomena beyond mechanics.
Expert Syst. Appl.
Pengyu Zhao, Jinan Xu, Ning Cheng, Huiqi Hu, Xue Zhang, Xiuwen Xu, Zijian Jin, Fandong Meng, Jie Zhou, Wenjuan Han
2025 J jnl
GPT4EAD: Efficient Large Language Models for Time Series Anomaly Detection on Memory-Constrained Edge Devices.
IEEE Internet Things Mag.
Qihang Zhou, Zijian Jin, Mincheng Wu, Shibo He
2025 J jnl
Lita: Light Agent Uncovers the Agentic Coding Capabilities of LLMs.
CoRR
Hankun Dai, Maoquan Wang, Mengnan Qi, Yikai Zhang, Zijian Jin, Yongqiang Yao, Yufan Huang, Shengyu Fu, Elsie Nallipogu
2025 J jnl
WorldGenBench: A World-Knowledge-Integrated Benchmark for Reasoning-Driven Text-to-Image Generation.
CoRR
Daoan Zhang, Che Jiang, Ruoshi Xu, Biaoxiang Chen, Zijian Jin, Yutian Lu, Jianguo Zhang, Liang Yong, Jiebo Luo, Shengda Luo
2024 — conf
A Benchmark and Chain-of-Thought Prompting Strategy for Large Multimodal Models with Multiple Image Inputs.
ICPR (18)
Daoan Zhang, Junming Yang, Hanjia Lyu, Zijian Jin, Yuan Yao, Mingkai Chen, Jiebo Luo
2024 J jnl
CoCoT: Contrastive Chain-of-Thought Prompting for Large Multimodal Models with Multiple Image Inputs.
CoRR
Daoan Zhang, Junming Yang, Hanjia Lyu, Zijian Jin, Yuan Yao, Mingkai Chen, Jiebo Luo
2023 J jnl
An In-depth Survey of Large Language Model-based Artificial Intelligence Agents.
CoRR
Pengyu Zhao, Zijian Jin, Ning Cheng
2022 — conf
Logographic Information Aids Learning Better Representations for Natural Language Inference.
AACL/IJCNLP (Findings)
Zijian Jin, Duygu Ataman
2022 J jnl
Logographic Information Aids Learning Better Representations for Natural Language Inference.
CoRR
Zijian Jin, Duygu Ataman
2022 J jnl
Probing Script Knowledge from Pre-Trained Models.
CoRR
Zijian Jin, Xingyu Zhang, Mo Yu, Lifu Huang
2021 — conf
Neuralizing Regular Expressions for Slot Filling.
EMNLP (1)
Chengyue Jiang, Zijian Jin, Kewei Tu
2019 — conf
SAR Target Recognition Based on Cholesky Decomposition Weighted Kernel Extreme Learning Machine.
ICAIP
Zijian Jin