MMIR: a microscopic mechanism for street selection based on intersection records in urban VANET routing. - Zhen Cai; Mangui Liang; Qiushi Sun (EURASIP J. Wirel. Commun. Netw., 2019)

CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure. - Nuo Chen 002; Qiushi Sun; Renyu Zhu; Xiang Li 067; Xuesong Lu; Ming Gao 001 (EMNLP (Findings), 2022)

PattGAN: Pluralistic Facial Attribute Editing. - Qiushi Sun; Jingtao Guo; Yi Liu 019 (IEEE Access, 2022)

Face image synthesis from facial parts. - Qiushi Sun; Jingtao Guo; Yi Liu 019 (EURASIP J. Image Video Process., 2022)

When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario. - Chengcheng Han 004; Liqing Cui; Renyu Zhu; Jianing Wang 002; Nuo Chen 002; Qiushi Sun; Xiang Li 067; Ming Gao 001 (ACL (Findings), 2023)

Do Large Language Models Know What They Don't Know? - Zhangyue Yin; Qiushi Sun; Qipeng Guo; Jiawen Wu 002; Xipeng Qiu; Xuanjing Huang 001 (ACL (Findings), 2023)

HugNLP: A Unified and Comprehensive Library for Natural Language Processing. - Jianing Wang 002; Nuo Chen 002; Qiushi Sun; Wenkang Huang; Chengyu Wang 001; Ming Gao 001 (CIKM, 2023)

Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation. - Nuo Chen 002; Qiushi Sun; Jianing Wang 002; Ming Gao 001; Xiaoli Li 001; Xiang Li 067 (EMNLP (Findings), 2023)

Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning. - Nuo Chen 002; Qiushi Sun; Jianing Wang 002; Xiang Li 067; Ming Gao 001 (EMNLP (Findings), 2023)

Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. - Jianing Wang 002; Qiushi Sun; Nuo Chen 002; Chengyu Wang 001; Jun Huang 007; Ming Gao 001; Xiang Li 067 (EMNLP (Findings), 2023)

Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication. - Zhangyue Yin; Qiushi Sun; Cheng Chang; Qipeng Guo; Junqi Dai; Xuanjing Huang 001; Xipeng Qiu (EMNLP, 2023)

ShapTime: A General XAI Approach for Explainable Time Series Forecasting. - Yuyi Zhang; Qiushi Sun; Dongfang Qi; Jing Liu 075; Ruimin Ma; Ovanes L. Petrosian (IntelliSys (1), 2023)

Resource Allocation in Heterogeneous Network with Supervised GNNs. - Qiushi Sun; Yuyi Zhang; Haitao Wu; Ovanes L. Petrosian (ICSI (2), 2023)

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting. - Jianing Wang 002; Qiushi Sun; Nuo Chen 002; Xiang Li 067; Ming Gao 001 (CoRR, 2023)

Exchanging-based Multimodal Fusion with Transformer. - Renyu Zhu; Chengcheng Han 004; Yong Qian; Qiushi Sun; Xiang Li 067; Ming Gao 001; Xuezhi Cao; Yunsen Xian (CoRR, 2023)

Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration. - Qiushi Sun; Zhangyue Yin; Xiang Li 067; Zhiyong Wu 003; Xipeng Qiu; Lingpeng Kong (CoRR, 2023)

SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents. - Kanzhi Cheng; Qiushi Sun; Yougang Chu; Fangzhi Xu; Yantao Li 003; Jianbing Zhang; Zhiyong Wu 003 (ACL (1), 2024)

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting. - Jianing Wang 002; Qiushi Sun; Xiang Li 067; Ming Gao 001 (ACL (1), 2024)

Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models. - Fangzhi Xu; Zhiyong Wu 003; Qiushi Sun; Siyu Ren; Fei Yuan 006; Shuai Yuan 018; Qika Lin; Yu Qiao 001; Jun Liu 002 (ACL (1), 2024)

Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance. - Zhangyue Yin; Qiushi Sun; Qipeng Guo; Zhiyuan Zeng 004; Xiaonan Li; Junqi Dai; Qinyuan Cheng; Xuanjing Huang 001; Xipeng Qiu (ACL (1), 2024)

Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives. - Qiushi Sun; Chengcheng Han 004; Nuo Chen 002; Renyu Zhu; Jingyang Gong; Xiang Li 067; Ming Gao 001 (LREC/COLING, 2024)

TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills. - Qiushi Sun; Nuo Chen 002; Jianing Wang 002; Ming Gao 001; Xiang Li 067 (LREC/COLING, 2024)

Structure-aware Fine-tuning for Code Pre-trained Models. - Jiayi Wu 001; Renyu Zhu; Nuo Chen 002; Qiushi Sun; Xiang Li 067; Ming Gao 001 (LREC/COLING, 2024)

Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models. - Zhangyue Yin; Qiushi Sun; Qipeng Guo; Zhiyuan Zeng 004; Xiaonan Li; Tianxiang Sun; Cheng Chang; Qinyuan Cheng; Ding Wang; Xiaofeng Mou; Xipeng Qiu; Xuanjing Huang 001 (LREC/COLING, 2024)

Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis. - Jianxiang Yu 001; Zichen Ding 002; Jiaqi Tan 006; Kangyang Luo; Zhenmin Weng; Chenghua Gong; Long Zeng 004; Renjing Cui; Chengcheng Han 004; Qiushi Sun; Zhiyong Wu 003; Yunshi Lan; et al. (EMNLP (Findings), 2024)

Explicit Memory Learning with Expectation Maximization. - Zhangyue Yin; Qiushi Sun; Qipeng Guo; Zhiyuan Zeng 004; Qinyuan Cheng; Xipeng Qiu; Xuanjing Huang 001 (EMNLP, 2024)

Rethinking the Role of Structural Information: How It Enhances Code Representation Learning? - Qiushi Sun; Nuo Chen 002; Jianing Wang 002; Xiaoli Li 001 (IJCNN, 2024)

KS-Lottery: Finding Certified Lottery Tickets for Multilingual Language Models. - Fei Yuan 006; Chang Ma; Shuai Yuan 018; Qiushi Sun; Lei Li 005 (CoRR, 2024)

A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond. - Qiushi Sun; Zhirui Chen; Fangzhi Xu; Kanzhi Cheng; Chang Ma; Zhangyue Yin; Jianing Wang 002; Chengcheng Han 004; Renyu Zhu; Shuai Yuan 018; Qipeng Guo; Xipeng Qiu; et al. (CoRR, 2024)

Resource allocation in heterogeneous network with node and edge enhanced graph attention network. - Qiushi Sun; Yang He; Ovanes L. Petrosian (Appl. Intell., 2024)

CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era. - Kanzhi Cheng; Wenpo Song; Jiaxin Fan; Zheng Ma; Qiushi Sun; Fangzhi Xu; Chenyang Yan; Nuo Chen; Jianbing Zhang; Jiajun Chen (ACL (Findings), 2025)

AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant. - Chengyou Jia; Minnan Luo; Zhuohang Dang; Qiushi Sun; Fangzhi Xu; Junlin Hu 003; Tianbao Xie; Zhiyong Wu 003 (ACL (Findings), 2025)

OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis. - Qiushi Sun; Kanzhi Cheng; Zichen Ding 002; Chuanyang Jin; Yian Wang 003; Fangzhi Xu; Zhenyu Wu; Chengyou Jia; Liheng Chen; Zhoumianze Liu; Ben Kao; Guohao Li 001; et al. (ACL (1), 2025)

Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning. - Fangzhi Xu; Hang Yan 010; Chang Ma; Haiteng Zhao; Qiushi Sun; Kanzhi Cheng; Junxian He; Jun Liu 002; Zhiyong Wu 003 (ACL (1), 2025)

Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models. - Fangzhi Xu; Qiushi Sun; Kanzhi Cheng; Jun Liu 002; Yu Qiao 001; Zhiyong Wu 003 (ACL (1), 2025)

Dynamic and Generalizable Process Reward Modeling. - Zhangyue Yin; Qiushi Sun; Zhiyuan Zeng 004; Qinyuan Cheng; Xipeng Qiu; Xuanjing Huang 001 (ACL (1), 2025)

OS-ATLAS: Foundation Action Model for Generalist GUI Agents. - Zhiyong Wu 003; Zhenyu Wu; Fangzhi Xu; Yian Wang 003; Qiushi Sun; Chengyou Jia; Kanzhi Cheng; Zichen Ding 002; Liheng Chen; Paul Pu Liang; Yu Qiao 001 (ICLR, 2025)

KS-Lottery: Finding Certified Lottery Tickets for Multilingual Transfer in Large Language Models. - Fei Yuan 006; Chang Ma; Shuai Yuan 018; Qiushi Sun; Lei Li 005 (NAACL (Long Papers), 2025)

Multi type mean field reinforcement learning for optimal resource allocation in heterogeneous network. - Qiushi Sun; Yuyi Zhang; Haitao Wu; Yin Li; Ovanes L. Petrosian (Eng. Appl. Artif. Intell., 2025)

Edge Feature Empowered Graph Attention Network for Sum Rate Maximization in Heterogeneous D2D Communication System. - Qiushi Sun; Yang He; Yin Li; Ovanes L. Petrosian (Neurocomputing, 2025)

Breaking the Data Barrier - Building GUI Agents Through Task Generalization. - Junlei Zhang; Zichen Ding 002; Chang Ma; Zijie Chen; Qiushi Sun; Zhenzhong Lan; Junxian He (CoRR, 2025)

ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows. - Qiushi Sun; Zhoumianze Liu; Chang Ma; Zichen Ding 002; Fangzhi Xu; Zhangyue Yin; Haiteng Zhao; Zhenyu Wu; Kanzhi Cheng; Zhaoyang Liu 001; Jianing Wang 002; Qintong Li; et al. (CoRR, 2025)

OS-MAP: How Far Can Computer-Using Agents Go in Breadth and Depth? - Xuetian Chen; Yinghao Chen; Xinfeng Yuan; Zhuo Peng; Lu Chen; Yuekeng Li; Zhoujia Zhang; Yingqian Huang; Leyan Huang; Jiaqing Liang; Tianbao Xie; Zhiyong Wu 003; et al. (CoRR, 2025)

CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative Feedback. - Qiushi Sun; Jinyang Gong; Lei Li 005; Qipeng Guo; Fei Yuan 006 (CoRR, 2025)