Junxian Li

According to our database, Junxian Li authored at least 17 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

δ-mem: Efficient Online Memory for Large Language Models.

Jingdi Lei, Di Zhang, Junxian Li, Weida Wang, Kaixuan Fan, Xiang Liu, Qihan Liu, Xiaoteng Ma, Baian Chen, Soujanya Poria

CoRR, May, 2026

G²TR: Generation-Guided Visual Token Reduction for Separate-Encoder Unified Multimodal Models.

Junxian Li, Kai Liu, Zizhong Ding, Zhixin Wang, Zhikai Chen, Renjing Pei, Yulun Zhang

CoRR, May, 2026

PermuQuant: Lowering Per-Group Quantization Error by Reordering Channels for Diffusion Models.

Yongsen Cheng, Kai Liu, Kaiwen Tao, Junxian Li, Zhixin Wang, Zhikai Chen, Renjing Pei, Yulun Zhang

CoRR, May, 2026

FlashClear: Ultra-Fast Image Content Removal via Efficient Step Distillation and Feature Caching.

Yixin Tang, Jiawei Guo, Junxian Li, Zhiteng Li, Jixin Zhao, Bingya Zhang, Chenbo Wang, Yulun Zhang, Shangchen Zhou

CoRR, May, 2026

PlanViz: Evaluating Planning-Oriented Image Generation and Editing for Computer-Use Tasks.

Junxian Li, Kai Liu, Leyang Chen, Weida Wang, Zhixin Wang, Jiaqi Xu, Fan Li, Renjing Pei, Linghe Kong, Yulun Zhang

CoRR, February, 2026

2025

IAG: Input-aware Backdoor Attack on VLMs for Visual Grounding.

Junxian Li, Beining Xu, Di Zhang

CoRR, August, 2025

Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery.

Jiatong Li, Weida Wang, Qinggang Zhang, Junxian Li, Di Zhang, Changmeng Zheng, Shufei Zhang, Xiaoyong Wei, Qing Li

CoRR, August, 2025

Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods.

BeiNing Xu, Junxian Li

CoRR, June, 2025

Control-R: Towards controllable test-time scaling.

Di Zhang, Weida Wang, Junxian Li, Xunzhi Wang, Jiatong Li, Jianbo Wu, Jingdi Lei, Haonan He, Peng Ye, Shufei Zhang, Wanli Ouyang, Yuqiang Li, Dongzhan Zhou

CoRR, June, 2025

Biology-Instructions: A Dataset and Benchmark for Multi-Omics Sequence Understanding Capability of Large Language Models.

Haonan He, Yuchen Ren, Yining Tang, Ziyang Xu, Junxian Li, Minghao Yang, Di Zhang, Dong Yuan, Tao Chen, Shufei Zhang, Yuqiang Li, Nanqing Dong, Wanli Ouyang, Dongzhan Zhou, Peng Ye

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning.

Di Zhang, Jingdi Lei, Junxian Li, Xunzhi Wang, Yujie Liu, Zonglin Yang, Jiatong Li, Weida Wang, Suorong Yang, Jianbo Wu, Peng Ye, Wanli Ouyang, Dongzhan Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area.

Junxian Li, Di Zhang, Xunzhi Wang, Zeying Hao, Jingdi Lei, Qian Tan, Cai Zhou, Wei Liu, Yaotian Yang, Xinrui Xiong, Weiyun Wang, Zhe Chen, Wenhai Wang, Wei Li, Mao Su, Shufei Zhang, Wanli Ouyang, Yuqiang Li, Dongzhan Zhou

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

TOMG-Bench: Evaluating LLMs on Text-based Open Molecule Generation.

Jiatong Li, Junxian Li, Yunqing Liu, Dongzhan Zhou, Qing Li

CoRR, 2024

Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework.

Junxian Li, Bin Shi, Erfei Cui, Hua Wei, Qinghua Zheng

CoRR, 2024

Large Language Models for Automated Open-domain Scientific Hypotheses Discovery.

Zonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, Erik Cambria

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Reinforcement Learning Approaches for Traffic Signal Control under Missing Data.

Hao Mei, Junxian Li, Bin Shi, Hua Wei

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Uncertainty-aware Traffic Prediction under Missing Data.

Hao Mei, Junxian Li, Zhiming Liang, Guanjie Zheng, Bin Shi, Hua Wei

Proceedings of the IEEE International Conference on Data Mining, 2023