CarbBuilder: An Adjustable Tool for Building 3D Molecular Structures of Carbohydrates for Molecular Simulation. - Michelle Kuttel; Yue Mao; Göran Widmalm; Magnus Lundborg (eScience, 2011)

Analysis of error sources on orbital atomic clocks' stability. - Yue Mao; Jianpeng Chen; Wei Dai; Xiaolin Jia (Geo spatial Inf. Sci., 2012)

Forensic Analysis of Email on Android Volatile Memory. - Long Chen 022; Yue Mao (Trustcom/BigDataSE/ISPA, 2016)

Predicting the Popularity of Online Videos via Deep Neural Networks. - Yue Mao; Yi Shen; Gang Qin; Longjun Cai (CoRR, 2017)

CitySense: A Data Collection Approach for City Computing Applications. - Yue Mao; Zeyu Zhang; Hua Sun; Yang Chen 001 (SenSys, 2018)

A spatial clustering approach by combining the geo-social-comment relationships of POIs. - Xiaoyan Zhang 005; Yue Mao; Xiangfu Meng (ACM TUR-C, 2019)

Atomic Clock Performance Assessment of BeiDou-3 Basic System with the Noise Analysis of Orbit Determination and Time Synchronization. - Xiaolin Jia; Tian Zeng; Rengui Ruan; Yue Mao; Guorui Xiao (Remote. Sens., 2019)

A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis. - Yue Mao; Yi Shen; Chao Yu; Longjun Cai (AAAI, 2021)

Model-Based Trajectory Prediction and Hitting Velocity Control for a New Table Tennis Robot. - Yunfeng Ji; Xiaoyi Hu; Yutao Chen; Yue Mao; Gang Wang 024; Qingdu Li; Jianwei Zhang 001 (IROS, 2021)

Hybrid Curriculum Learning for Emotion Recognition in Conversation. - Lin Yang; Yi Shen; Yue Mao; Longjun Cai (AAAI, 2022)

Seq2Path: Generating Sentiment Tuples as Paths of a Tree. - Yue Mao; Yi Shen; Jingchao Yang; Xiaoying Zhu; Longjun Cai (ACL (Findings), 2022)

Constrained Sequence-to-Tree Generation for Hierarchical Text Classification. - Chao Yu; Yi Shen; Yue Mao (SIGIR, 2022)

Constrained Sequence-to-Tree Generation for Hierarchical Text Classification. - Chao Yu; Yi Shen; Yue Mao; Longjun Cai (CoRR, 2022)

Towards Understanding Underwater Weather Events in Rivers Using Autonomous Surface Vehicles. - Alice Kate Li; Yue Mao; Sandeep Manjanna; Sixuan Liu; Jasleen Dhanoa; Bharg Mehta; Victoria M. Edwards; Fernando Cladera Ojeda; Maël Le Men; Eric Sigg; Hugo N. Ulloa; Douglas J. Jerolmack; et al. (CoRR, 2023)

Reflecting the Male Gaze: Quantifying Female Objectification in 19th and 20th Century Novels. - Kexin Luo; Yue Mao; Bei Zhang; Sophie Hao (LREC/COLING, 2024)

Strategies for Compressing the Pareto Frontier: Application to Strategic Planning of Hydropower in the Amazon Basin. - Zhongdi Qu; Marc Grimson; Yue Mao; Sebastian Heilpern; Imanol Miqueleiz; Felipe Siqueira Pacheco; Alexander Flecker; Carla P. Gomes (CPAIOR (2), 2024)

BLADE: Benchmarking Language Model Agents for Data-Driven Science. - Ken Gu; Ruoxi Shang; Ruien Jiang; Keying Kuang; Richard-John Lin; Donghe Lyu; Yue Mao; Youran Pan; Teng Wu; Jiaqian Yu; Yikun Zhang; Tianmai M. Zhang; et al. (EMNLP (Findings), 2024)

Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent. - Xingwu Sun; Yanfeng Chen; Yiqing Huang; Ruobing Xie; Jiaqi Zhu 004; Kai Zhang 033; Shuaipeng Li; Zhen Yang; Jonny Han; Xiaobo Shu; Jiahao Bu; Zhongzhi Chen; et al. (CoRR, 2024)

Constraint-aware Pareto Optimization for Tree-Structured Networks: Addressing Decarbonization Targets with Hydropower Expansion. - Marc Grimson; Zhongdi Qu; Yue Mao; Aaron M. Ferber; Felipe Siqueira Pacheco; Sebastian Heilpern; Hector Angarita; Alexander Flecker; Carla P. Gomes (AAAI, 2025)

Catching spinning table tennis balls in simulation with end-to-end Curriculum Reinforcement Learning. - Xiaoyi Hu; Yue Mao; Gang Wang 024; Qingdu Li; Jianwei Zhang 001; Yunfeng Ji (Eng. Appl. Artif. Intell., 2025)

Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought. - Ao Liu; Botong Zhou; Can Xu; Chayse Zhou; Chenchen Zhang; Chengcheng Xu; Chenhao Wang; Decheng Wu; Dengpeng Wu; Dian Jiao; Dong Du; Dong Wang; et al. (CoRR, 2025)

AutoCodeBench: Large Language Models are Automatic Code Benchmark Generators. - Jason Chou; Ao Liu; Yuchi Deng; Zhiying Zeng; Tao Zhang; Haotian Zhu; Jianwei Cai; Yue Mao; Chenchen Zhang; Lingyun Tan; Ziyan Xu; Bohui Zhai; et al. (CoRR, 2025)