Few-Shot Relation Extraction Towards Special Interests. - Siqi Fan 001; Binbin Zhang; Silin Zhou; Menghan Wang; Ke Li 019 (Big Data Res., 2021)

Route Search and Planning: A Survey. - Ke Li 019; Xuan Rao; Xiaobing Pang; Lisi Chen 001; Siqi Fan 001 (Big Data Res., 2021)

Interactive Information Extraction by Semantic Information Graph. - Siqi Fan 001; Yequan Wang; Jing Li 034; Zheng Zhang 006; Shuo Shang; Peng Han 005 (IJCAI, 2022)

EmpMFF: A Multi-factor Sequence Fusion Framework for Empathetic Response Generation. - Xiaobing Pang; Yequan Wang; Siqi Fan 001; Lisi Chen 001; Shuo Shang; Peng Han 005 (WWW, 2023)

FLM-101B: An Open LLM and How to Train It with $100K Budget. - Xiang Li 001; Yiqun Yao; Xin Jiang 005; Xuezhi Fang; Xuying Meng; Siqi Fan 001; Peng Han 005; Jing Li 034; Li Du; Bowen Qin; Zheng Zhang 006; Aixin Sun; et al. (CoRR, 2023)

UaMC: user-augmented conversation recommendation via multi-modal graph learning and context mining. - Siqi Fan 001; Yequan Wang; Xiaobing Pang; Lisi Chen 001; Peng Han 005; Shuo Shang (World Wide Web (WWW), 2023)

Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging. - Yiming Ju; Ziyi Ni; Xingrun Xing; Zhixiong Zeng; Hanyu Zhao; Siqi Fan 001; Zheng Zhang 006 (EMNLP, 2024)

SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms. - Xingrun Xing; Zheng Zhang 006; Ziyi Ni; Shitao Xiao; Yiming Ju; Siqi Fan 001; Yequan Wang; Jiajun Zhang; Guoqi Li (ICML, 2024)

Not all Layers of LLMs are Necessary during Inference. - Siqi Fan 001; Xin Jiang 005; Xiang Li 001; Xuying Meng; Peng Han 005; Shuo Shang; Aixin Sun; Yequan Wang; Zhongyuan Wang 006 (CoRR, 2024)

Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging. - Yiming Ju; Ziyi Ni; Xingrun Xing; Zhixiong Zeng; Hanyu Zhao; Siqi Fan 001; Zheng Zhang 020 (CoRR, 2024)

Position-Aware Depth Decay Decoding (D³): Boosting Large Language Model Inference Efficiency. - Siqi Fan 001; Xuezhi Fang; Xingrun Xing; Peng Han 005; Shuo Shang; Yequan Wang (ACL (Findings), 2025)

Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement. - Xiaowei Yuan; Zhao Yang 004; Ziyang Huang; Yequan Wang; Siqi Fan 001; Yiming Ju; Jun Zhao 001; Kang Liu 001 (ACL (1), 2025)

Position-Aware Depth Decay Decoding (D3): Boosting Large Language Model Inference Efficiency. - Siqi Fan 001; Xuezhi Fang; Xingrun Xing; Peng Han 005; Shuo Shang; Yequan Wang (CoRR, 2025)

If an LLM Were a Character, Would It Know Its Own Story? Evaluating Lifelong Learning in LLMs. - Siqi Fan 001; Xiusheng Huang; Yiqun Yao; Xuezhi Fang; Kang Liu 001; Peng Han 005; Shuo Shang; Aixin Sun; Yequan Wang (CoRR, 2025)

Evaluating LLM Adaptation to Sociodemographic Factors: User Profile vs. Dialogue History. - Qishuai Zhong; Zongmin Li; Siqi Fan 001; Aixin Sun (CoRR, 2025)

CoThink: Token-Efficient Reasoning via Instruct Models Guiding Reasoning Models. - Siqi Fan 001; Peng Han 005; Shuo Shang; Yequan Wang; Aixin Sun (CoRR, 2025)