AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture. - Tunhou Zhang; Hsin-Pai Cheng; Zhenwen Li; Feng Yan 001; Chengyu Huang 001; Hai Helen Li; Yiran Chen 001 (AAAI, 2020)

Composing Elementary Discourse Units in Abstractive Summarization. - Zhenwen Li; Wenhao Wu; Sujian Li (ACL, 2020)

Benchmarking Meaning Representations in Neural Semantic Parsing. - Jiaqi Guo; Qian Liu; Jian-Guang Lou; Zhenwen Li; Xueqing Liu 001; Tao Xie 001; Ting Liu 002 (EMNLP (1), 2020)

Clustering test steps in natural language toward automating test automation. - Linyi Li 001; Zhenwen Li; Weijie Zhang; Jun Zhou; Pengcheng Wang; Jing Wu; Guanghua He; Xia Zeng; Yuetang Deng; Tao Xie 001 (ESEC/SIGSOFT FSE, 2020)

Exploring the Secrets Behind the Learning Difficulty of Meaning Representations for Semantic Parsing. - Zhenwen Li; Jiaqi Guo; Qian Liu; Jian-Guang Lou; Tao Xie 001 (EMNLP, 2022)

Research and Application of AGC Control Method for Energy Storage Power Stations Using Data of Regulation Cloud. - Jinbo Wu; Yonggang Liu; Xingrong Song; Shangfeng Xiong; Sijia Hu; Zhenwen Li (ICITEE, 2022)

NL2Viz: natural language to visualization via constrained syntax-guided synthesis. - Zhengkai Wu; Vu Le 002; Ashish Tiwari 001; Sumit Gulwani; Arjun Radhakrishna; Ivan Radicek; Gustavo Soares; Xinyu Wang 006; Zhenwen Li; Tao Xie 001 (ESEC/SIGSOFT FSE, 2022)

Data Transformation to Construct a Dataset for Generating Entity-Relationship Model from Natural Language. - Zhenwen Li; Jian-Guang Lou; Tao Xie 001 (CoRR, 2023)

InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models. - Linyi Li 001; Shijie Geng; Zhenwen Li; Yibo He; Hao Yu; Ziyue Hua; Guanghan Ning; Siwei Wang; Tao Xie 001; Hongxia Yang (NeurIPS, 2024)

Using LLM to select the right SQL Query from candidates. - Zhenwen Li; Tao Xie 001 (CoRR, 2024)

InfiCoder-Eval: Systematically Evaluating the Question-Answering Capabilities of Code Large Language Models. - Linyi Li 001; Shijie Geng; Zhenwen Li; Yibo He; Hao Yu; Ziyue Hua; Guanghan Ning; Siwei Wang; Tao Xie 001; Hongxia Yang (CoRR, 2024)

RaaS: Reasoning-Aware Attention Sparsity for Efficient LLM Reasoning. - Junhao Hu; Wenrui Huang; Weidong Wang; Zhenwen Li; Tiancheng Hu; Zhixia Liu; Xusheng Chen; Tao Xie; Yizhou Shan (ACL (Findings), 2025)

Data and System Perspectives of Sustainable Artificial Intelligence. - Tao Xie 001; David Harel; Dezhi Ran; Zhenwen Li; Maoliang Li; Zhi Yang 001; Leye Wang; Xiang Chen; Ying Zhang 012; Wentao Zhang 001; Meng Li; Chen Zhang 001; et al. (CoRR, 2025)

Efficient Long-Decoding Inference with Reasoning-Aware Attention Sparsity. - Junhao Hu; Wenrui Huang; Weidong Wang; Zhenwen Li; Tiancheng Hu; Zhixia Liu; Xusheng Chen; Tao Xie 001; Yizhou Shan (CoRR, 2025)