Empirical prediction model for Li/SOCl2 cells based on the accelerated degradation test. - Sijie Cheng; Zhongzhi Yuan; Xiangping Ye; Fuyi Zhang; Jincheng Liu (Microelectron. Reliab., 2015)

Development of a lifetime prediction model for lithium thionyl chloride batteries based on an accelerated degradation test. - Sijie Cheng; Bimei Li; Zhongzhi Yuan; Fuyi Zhang; Jincheng Liu (Microelectron. Reliab., 2016)

NEARM: Natural Language Enhanced Association Rules Mining. - Shiya Ren; Zhixing Li; Huaming Wang; Yuan Li 050; Ke Shen 003; Sijie Cheng (ICDM Workshops, 2018)

Optimal Incentive Contract for Sales Team with Loss Aversion Preference. - Chao Li; Sijie Cheng; Peng-Fei Cheng (Symmetry, 2019)

Multi-tag Information Interactive Communication Model based on Precise Position Detection in Vehicle-Infrastructure Collaboration Environment. - Yatao Zhao; Jiangfeng Wang; Sijie Cheng; Zhijun Gao; Haitao Huang (ICITE, 2020)

Does BERT Solve Commonsense Task via Commonsense Knowledge? - Leyang Cui; Sijie Cheng; Yu Wu 012; Yue Zhang 004 (CoRR, 2020)

On Commonsense Cues in BERT for Solving Commonsense Tasks. - Leyang Cui; Sijie Cheng; Yu Wu 012; Yue Zhang 004 (ACL/IJCNLP (Findings), 2021)

FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion. - Sijie Cheng; Jingwen Wu; Yanghua Xiao; Yang Liu (CoRR, 2021)

Unsupervised Editing for Counterfactual Stories. - Jiangjie Chen; Chun Gan; Sijie Cheng; Hao Zhou 012; Yanghua Xiao; Lei Li 005 (AAAI, 2022)

Can Pre-trained Language Models Interpret Similes as Smart as Human? - Qianyu He; Sijie Cheng; Zhixu Li; Rui Xie 005; Yanghua Xiao (ACL (1), 2022)

Research on Green Supply Chain Decision-Making Based on Blockchain to Eliminate the Risk of Energy Efficiency Data Fraud. - Wenqiang Li; Juan He; Sijie Cheng; Xiaohui Huang; Zhengbo Li (BDSIC, 2022)

Research on Cost-Sharing Contract for New Energy Vehicle Battery R&D Based on Quality and Price Sensitivity. - Xiaohui Huang; Juan He; Sijie Cheng (EBEE, 2022)

Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision. - Sijie Cheng; Zhouhong Gu; Bang Liu; Rui Xie 005; Wei Wu 014; Yanghua Xiao (ICDE, 2022)

A Self-supervised Joint Training Framework for Document Reranking. - Xiaozhi Zhu; Tianyong Hao; Sijie Cheng; Fu Lee Wang; Hai Liu 006 (NAACL-HLT (Findings), 2022)

Unsupervised Explanation Generation via Correct Instantiations. - Sijie Cheng; Zhiyong Wu 003; Jiangjie Chen; Zhixing Li; Yang Liu; Lingpeng Kong (AAAI, 2023)

Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge. - Jiangjie Chen; Wei Shi; Ziquan Fu; Sijie Cheng; Lei Li 005; Yanghua Xiao (ACL (1), 2023)

Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making. - Xuanjie Fang; Sijie Cheng; Yang Liu 165; Wei Wang 009 (ACL (Findings), 2023)

Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks. - Zhicheng Guo; Sijie Cheng; Yile Wang 001; Peng Li 030; Yang Liu 005 (ACL (Findings), 2023)

Evolving Connectivity for Recurrent Spiking Neural Networks. - Guan Wang; Yuhao Sun; Sijie Cheng; Sen Song (NeurIPS, 2023)

Can Vision-Language Models Think from a First-Person Perspective? - Sijie Cheng; Zhicheng Guo; Jingwen Wu; Kechen Fang; Peng Li 030; Huaping Liu 001; Yang Liu 005 (CoRR, 2023)

StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models. - Zhicheng Guo; Sijie Cheng; Hao Wang 139; Shihao Liang; Yujia Qin; Peng Li 030; Zhiyuan Liu 001; Maosong Sun 001; Yang Liu 005 (ACL (Findings), 2024)

DEEM: Dynamic Experienced Expert Modeling for Stance Detection. - Xiaolong Wang 014; Yile Wang 001; Sijie Cheng; Peng Li 030; Yang Liu 005 (LREC/COLING, 2024)

EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models. - Sijie Cheng; Zhicheng Guo; Jingwen Wu; Kechen Fang; Peng Li 030; Huaping Liu 001; Yang Liu 005 (CVPR, 2024)

OpenChat: Advancing Open-source Language Models with Mixed-Quality Data. - Guan Wang; Sijie Cheng; Xianyuan Zhan; Xiangang Li; Sen Song; Yang Liu 165 (ICLR, 2024)

DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning. - Jianxiong Li; Jinliang Zheng; Yinan Zheng; Liyuan Mao; Xiao Hu; Sijie Cheng; Haoyi Niu; Jihao Liu; Yu Liu 015; Jingjing Liu; Ya-Qin Zhang; Xianyuan Zhan (ICML, 2024)

Instruction-Guided Visual Masking. - Jinliang Zheng; Jianxiong Li; Sijie Cheng; Yinan Zheng; Jiaming Li; Jihao Liu; Yu Liu 015; Jingjing Liu; Xianyuan Zhan (NeurIPS, 2024)

Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language Conversion for Language Models. - Yile Wang 001; Sijie Cheng; Zixin Sun; Peng Li 030; Yang Liu 005 (CoRR, 2024)

ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models. - Chunjiang Ge; Sijie Cheng; Ziming Wang; Jiale Yuan; Yuan Gao; Jun Song; Shiji Song; Gao Huang 001; Bo Zheng (CoRR, 2024)

VidEgoThink: Assessing Egocentric Video Understanding Capabilities for Embodied AI. - Sijie Cheng; Kechen Fang; Yangyang Yu; Sicheng Zhou; Bohao Li; Ye Tian; Tingguang Li; Lei Han; Yang Liu (CoRR, 2024)

StableToolBench-MirrorAPI: Modeling Tool Environments as Mirrors of 7, 000+ Real-World APIs. - Zhicheng Guo; Sijie Cheng; Yuchen Niu; Hao Wang 010; Sicheng Zhou; Wenbing Huang 001; Yang Liu 005 (ACL (Findings), 2025)

Leveraging Language-based Representations for Better Solving Symbol-related Problems with Large Language Models. - Yile Wang 001; Sijie Cheng; Zixin Sun; Peng Li 030; Yang Liu 005 (COLING, 2025)

StableToolBench-MirrorAPI: Modeling Tool Environments as Mirrors of 7,000+ Real-World APIs. - Zhicheng Guo; Sijie Cheng; Yuchen Niu; Hao Wang 010; Sicheng Zhou; Wenbing Huang 001; Yang Liu 005 (CoRR, 2025)

Adaptive Error Correction for Entanglement Distillation. - Sijie Cheng; Narayanan Rengaswamy (CoRR, 2025)

Beyond the Surface: Enhancing LLM-as-a-Judge Alignment with Human via Internal Representations. - Peng Lai; Jianjie Zheng; Sijie Cheng; Yun Chen; Peng Li; Yang Liu; Guanhua Chen (CoRR, 2025)