Jiafeng Liang

23 papers A* 3Journal 11Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
APSam: An Aggregating-Then-Pruning Sampler for Question-Conditional Denoising.
IEEE Trans. Circuits Syst. Video Technol.
Jiafeng Liang, Shixin Jiang, Wei Tang, Ning Wang, Zekun Wang, Xun Mao, Kai Lv, Ming Liu, Bing Qin
2026 J jnl
Analyzing Reasoning Consistency in Large Multimodal Models under Cross-Modal Conflicts.
CoRR
Zhihao Zhu, Jiafeng Liang, Shixin Jiang, Jinlan Fu, Ming Liu, Guanglu Sun, See-Kiong Ng, Bing Qin
2026 A* conf
From Sampling to Cognition: Modeling Internal Cognitive Confidence in Language Models for Robust Uncertainty Calibration.
AAAI
Hao Li, Tao He, Jiafeng Liang, Zheng Chu, Ming Liu
2026 J jnl
Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models.
CoRR
Runxuan Liu, Xianhao Ou, Xinyan Ma, Jiyuan Wang, Jiafeng Liang, Jiaqi Li, Tao He, Zheng Chu, Rongchuan Mu, Zekun Wang, Baoxin Wang, Dayong Wu, Ming Liu, Shijin Wang, Guoping Hu, Bing Qin
2026 J jnl
The Evolution of Tool Use in LLM Agents: From Single-Tool Call to Multi-Tool Orchestration.
CoRR
Haoyuan Xu, Chang Li, Xinyan Ma, Xianhao Ou, Zihan Zhang, Tao He, Xiangyu Liu, Zixiang Wang, Jiafeng Liang, Zheng Chu, Runxuan Liu, Rongchuan Mu, Dandan Tu, Ming Liu, Bing Qin
2025 J jnl
AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents.
CoRR
Jiafeng Liang, Hao Li, Chang Li, Jiaqi Zhou, Shixin Jiang, Zekun Wang, Changkai Ji, Zhihao Zhu, Runxuan Liu, Tao Ren, Jinlan Fu, See-Kiong Ng, Xia Liang, Ming Liu, Bing Qin
2025 — conf
Breaking the Reasoning Barrier A Survey on LLM Complex Reasoning through the Lens of Self-Evolution.
ACL (Findings)
Tao He, Hao Li, Jingchang Chen, Runxuan Liu, Yixin Cao, Lizi Liao, Zihao Zheng, Zheng Chu, Jiafeng Liang, Ming Liu, Bing Qin
2025 — conf
From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities.
ACL (Findings)
Shixin Jiang, Jiafeng Liang, Jiyuan Wang, Xuan Dong, Heng Chang, Weijiang Yu, Jinhua Du, Ming Liu, Bing Qin
2025 — conf
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency.
ACL (1)
Jiafeng Liang, Shixin Jiang, Xuan Dong, Ning Wang, Zheng Chu, Hui Su, Jinlan Fu, Ming Liu, See-Kiong Ng, Bing Qin
2025 J jnl
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency.
CoRR
Jiafeng Liang, Shixin Jiang, Xuan Dong, Ning Wang, Zheng Chu, Hui Su, Jinlan Fu, Ming Liu, See-Kiong Ng, Bing Qin
2025 — conf
Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering.
ACL (Findings)
Zheng Chu, Huiming Fan, Jingchang Chen, Qianyu Wang, Mingda Yang, Jiafeng Liang, Zhongjie Wang, Hao Li, Guo Tang, Ming Liu, Bing Qin
2025 J jnl
Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering.
CoRR
Zheng Chu, Huiming Fan, Jingchang Chen, Qianyu Wang, Ming-Hsuan Yang, Jiafeng Liang, Zhongjie Wang, Hao Li, Guo Tang, Ming Liu, Bing Qin
2024 — conf
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models.
EMNLP (Findings)
Yaojia Lv, Haojie Pan, Zekun Wang, Jiafeng Liang, Yuanxing Liu, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin
2024 J jnl
Comparison with others influences encoding and recognition of their faces: Behavioural and ERP evidence.
NeuroImage
Huiyan Lin, Jiafeng Liang
2024 J jnl
From Specific-MLLM to Omni-MLLM: A Survey about the MLLMs alligned with Multi-Modality.
CoRR
Shixin Jiang, Jiafeng Liang, Ming Liu, Bing Qin
2024 A* conf
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension.
IJCAI
Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin
2024 J jnl
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension.
CoRR
Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin
2024 — conf
Infrared-LLaVA: Enhancing Understanding of Infrared Images in Multi-Modal Large Language Models.
EMNLP (Findings)
Shixin Jiang, Zerui Chen, Jiafeng Liang, Yanyan Zhao, Ming Liu, Bing Qin
2024 — conf
RiskMiner: Discovering Formulaic Alphas via Risk Seeking Monte Carlo Tree Search.
ICAIF
Tao Ren, Ruihan Zhou, Jinyang Jiang, Jiafeng Liang, Qinghao Wang, Yijie Peng
2024 — conf
SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models.
LREC/COLING
Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Haichao Zhu, Jiafeng Liang, Liping Shan, Ming Liu, Dongliang Xu, Qing Yang, Bing Qin
2023 A* conf
GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation.
IJCAI
Jiafeng Liang, Yuxin Wang, Zekun Wang, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin
2023 — conf
MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document.
EMNLP (Findings)
Zheng Chu, Zekun Wang, Jiafeng Liang, Ming Liu, Bing Qin
2023 J jnl
MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document.
CoRR
Zheng Chu, Zekun Wang, Jiafeng Liang, Ming Liu, Bing Qin