2026
- ChunkFT: Byte-Streamed Optimization for Memory-Efficient Full Fine-Tuning (CCF A NeurIPS)
Liu Yongkang, Wang Zijing, Zhao Mengjie, Nie Ercong, Wang Mingyang, Li Qian†, Ren Feiliang, Feng Shi, Wang Daling, Schutze Hinrich - SMoA: Spectrum Modulation Adapter for Parameter-Efficient Fine-Tuning (CCF A NeurIPS)
Liu Yongkang, Li Xing, Zhao Mengjie†, Zhang Shanru, Wang Zijing, Li Qian, Feng Shi, Ren, Feiliang, Wang Daling, Schutze Hinrich - DiM$^3$: Bridging Multilingual and Multimodal Models via Direction- and Magnitude-Aware Merging (CCF A NeurIPS)
Wang Zijing , Wang Mingyang , Nie Ercong , Liu Yongkang† , Feng Shi , Zhao Mengjie , Wang Daling† , Yang Xiaocui , Schutze Hinrich - A Target-Centric Survey of Quantization-Aware Training （CCF B EMNLP)
Jiamin Song*, Mengjie Zhao*, Zijing Wang, Yongkang Liu†, Qian Li, Shi Feng, Feiliang Ren, Daling Wang, Hinrich Schuetze - A survey on entropy mechanism in large reasoning models （CCF B EMNLP Findings)
Zihan Wang*, Xingle Xu*, Hao Wang*, Yiwen Ye*, Yuchen Li*, Linhao Wang*, Hongze Tan*, Peidong Wang, Shi Feng, Guoqing Chen, Jinghao Lin, Zijing Wang, Yiqun Zhang, Yongkang Liu, Xiaocui Yang, Tao Yan, Lei Yang, Shengzhi Wang, Yuhang Wu, Ge Yu - From Parameter Dynamics to Risk Scoring: Quantifying Sample-Level Safety Degradation in LLM Fine-tuning （CCF A ICML)
Wang, X., Zhang, Y., Liu, Y, Yang, X., Wang, Z., Feng, S., & Wang, D. - A Systematic Analysis of the Impact of Persona Steering on LLM Capabilities （CCF B Cognitive Science)
Chen, J., Wang, M., Xie, T., Feng, S.†, & Liu, Y† - NEAT: Neuron-Based Early Exit for Large Reasoning Models （CCF A ACL Findings)
Liu, K., Liu, Y., Yang, X., Wang, P., Zhang, W., Feng, S., Zhang, Y., & Wang, D. -
Look Within or Look Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning （CCF A ACL Main)
Liu, Y.*, Xu, X.*, Nie, E., Wang, Z., Feng, S., Wang, D., Li, Q., & Schutze, H. - Why do more experts fail? a theoretical analysis of model merging (CCF A ACL Main)
Wang, Z.*, Xu, X.*, Liu, Y.*†, Zhang, Y.*, Lin, P., Feng, S.†, Wang, D.,Yang†, X.,& Schutze, H. - SAD: A Large-Scale Strategic Argumentative Dialogue Dataset （CCF A ACL Main)
Liu, Y., Yu, J., Wang, M., Zhang, Y., Nie, E., Feng, S., Wang, D., Song, K., & Schutze, H. - PlaM: Training-Free Plateau-Guided Model Merging for Better Visual Grounding in MLLMs （CCF A ACL Findings)
Wang, Z., Liu, Y.†, Wang, M., Nie, E., Chen, D., Zhao, Z., Feng, S., Wang, D.†, Yang, X., Zhang, Y., & Schutze, H. - SAFE-QAQ: End-to-End Slow-Thinking Audio-Text Fraud Detection via Reinforcement Learning （CCF A ACL Main)
Wang, P., Ma, Z., Dai, X., Liu, Y., Feng, S., Yang, X., Hu, W., Wang, Z., Pan, M., Yuan, L., & Wang, D. - MoLAN: A Unified Modality-Aware Noise Dynamic Editing Framework for Multimodal Sentiment Analysis （CCF A ACL Findings)
Xu, X., Liu, Y., Cai, D., Feng, S., Yang, X., Wang, D., & Zhang, Y. - CCRA: A Cross-modal Complementary Representation Alignment Framework for Bridging the Modality Gap (CCF B ICMR)
Han, Xingchen and Zhang, Ruihao and Li, Ruiting and Pei, Yingxin and Wang, Jiaqi and Ji, Zhe and Ren, Feiliang and Liu, Yongkang - Knowledge Graph Augmented Generation for Examination Questions (TLT)
Qian Li, Ziqing Zhao, Yongkang Liu, Ning Liu, Lizhen Cui - Mixture of embedding experts for open knowledge graphs (Neurocomputing)
Qian Li, Chengwei Qin, Yongkang Liu, Lizhen Cui
2025
- MEKiT: Multi-source Heterogeneous Knowledge Injection Method via Instruction Tuning for Emotion-Cause Pair Extraction （CCF B Cognitive Science) S Mu, Y Liu, S Feng, X Yang, D Wang, Y Zhang
- Muse: A multimodal conversational recommendation dataset with scenario-grounded user profiles （CCF A ACL Findings) Z Wang, X Yang, Y Liu, S Feng, D Wang, Y Zhang
- Enhancing llm-based recommendation through semantic-aligned collaborative knowledge
Z Wang, J Lin, X Yang, Y Liu, S Feng, D Wang, Y Zhang - SolEval: Benchmarking Large Language Models for Repository-level Solidity Code Generation （CCF B EMNLP Main) Z Peng, X Yin, R Qian, P Lin, Y Liu, C Ying, Y Luo
- Pixel-level reasoning segmentation via multi-turn conversations （CCF A ACL)
D Cai, X Yang, Y Liu, D Wang, S Feng, Y Zhang, S Poria - SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model （CCF B NAACL)
J Yu, Y Zhang, B Wang, P Lin, Y Liu, S Feng
~2024
- ChatZero: Zero-shot Cross-Lingual Dialogue Generation via Pseudo-Target Language （ECML CCF B）
Y Liu, F Shi, D Wang, Y Zhang, H Schütze - A Unified Data Augmentation Framework for Low-Resource Multi-Domain Dialogue Generation (CCF B ECML-PKDD)
Y Liu, E Nie, S Feng, Z Hua, Z Ding, D Wang, Y Zhang, H Schütze - HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy (CCF B EMNLP )
Y Liu, Y Zhang, Q Li, S Feng, D Wang, Y Zhang, H Schütze - Evaluate What You Can’t Evaluate: Unassessable Quality for Generated Response
Y Liu, S Feng, D Wang, Y Zhang, H Schütze - PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism (CCF A ACL Main)
Y Liu, S Feng, D Wang, H Schütze, Y Zhang - DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection (CCF B EMNLP Main)
Y Liu, S Feng, W Gao, D Wang, Y Zhang - MulZDG: Multilingual Code-Switching Framework for Zero-shot Dialogue Generation (CCF B COLING Main)
Y Liu, S Feng, D Wang, Y Zhang - A graph reasoning network for multi-turn response selection via customized pre-training (CCF A AAAI Main)
Y Liu, S Feng, D Wang, K Song, F Ren, Y Zhang - Deep understanding based multi-document machine reading comprehension (TALLIP)
F Ren, Y Liu, B Li, Z Wang, Y Guo, S Liu, H Wu, J Wang, C Liu, B Wang - An understanding-oriented robust machine reading comprehension model (TALLIP)
F Ren, Y Liu, B Li, S Liu, B Wang, J Wang, C Liu, Q Ma - Techkg: A large-scale Chinese technology-oriented knowledge graph
F Ren, Y Hou, Y Li, L Pan, Y Zhang, X Liang, Y Liu, Y Guo, R Zhao, … - A Multiple Utterances based Neural Network Model for Joint Intent Detection and Slot Filling.
L Pan, Y Zhang, F Ren, Y Hou, Y Li, X Liang, Y Liu - An Enhanced ESIM Model for Sentence Pair Matching with Self-Attention.
Y Liu, X Liang, F Ren, Y Li, Y Hou, Y Zhang, L Pan - Neural relation classification with text descriptions (CCF B COLING) F Ren, D Zhou, Z Liu, Y Li, R Zhao, Y Liu, X Liang
- N-Reader: A Machine Reading Comprehension Model Based on Dual-Layer Self-Attention
Xiaobo Liang, Feiliang Ren, Yongkang Liu, Lingfeng Pan, Yining Hou, Yi Zhang, Yan Li
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