| 2026 | AAAI | IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization. | Yuzhuo Bai, Shitong Duan, Muhua Huang, Jing Yao, Zhenghao Liu, Peng Zhang, Tun Lu, Xiaoyuan Yi, Maosong Sun, Xing Xie |
| 2026 | AAAI | MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions. | Yanxu Zhu, Shitong Duan, Xiangxu Zhang, Jitao Sang, Peng Zhang, Tun Lu, Xiao Zhou, Jing Yao, Xiaoyuan Yi, Xing Xie |
| 2026 | ACL | Influence-based Online Experience Selection for Effective RLHF. | Yifan Gong, Jing Yao, Xiting Wang, Xunlong Wang, Xiaoyuan Yi, Xing Xie |
| 2026 | ACL | Can Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural Alignment. | Bryan Chen Zhengyu Tan, Zhengyuan Liu, Xiaoyuan Yi, Jing Yao, Xing Xie, Nancy F. Chen, Roy Ka-Wei Lee |
| 2026 | ACL | MMAC: A Multilingual, Multimodal Alignment Framework for Cultural Grounding Evaluation. | Weihua Zheng, Zhengyuan Liu, Tanmoy Chakraborty, Weiwen Xu, Xiaoxue Gao, Bryan Chen Zhengyu Tan, Bowei Zou, Chang Liu, Yujia Hu, Xing Xie, Xiaoyuan Yi, Jing Yao, Chaojun Wang, Long Li, Rui Liu, Huiyao Liu, Koji Inoue, Ryuichi Sumida, Tatsuya Kawahara, Fan Xu, Lingyu Ye, Wei Tian, Dongjun Kim, Jimin Jung, Jaehyung Seo, Nadya Yuki Wangsajaya, Pham Minh Duc, Ojasva Saxena, Palash Nandi, Xiyan Tao, Wiwik Karlina, Tuan Luong, Keertana Arun Vasan, Roy Ka-Wei Lee, Nancy F. Chen |
| 2026 | WCNC | Generative AI Empowering Collaborative HD Map Refinement in Vehicular Edge Computing. | Jing Yao, Yongmin Zhang, Bingting Jiang, Yuanlin Wei, Pengyu Huang |
| 2025 | ACL | Value Compass Benchmarks: A Comprehensive, Generative and Self-Evolving Platform for LLMs' Value Evaluation. | Jing Yao, Xiaoyuan Yi, Shitong Duan, Jindong Wang, Yuzhuo Bai, Muhua Huang, Yang Ou, Scarlett Li, Peng Zhang, Tun Lu, Zhicheng Dou, Maosong Sun, James Evans, Xing Xie |
| 2025 | ACL | Unintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights. | Sooyung Choi, Jaehyeok Lee, Xiaoyuan Yi, Jing Yao, Xing Xie, JinYeong Bak |
| 2025 | ACL | Towards Better Value Principles for Large Language Model Alignment: A Systematic Evaluation and Enhancement. | Bingbing Xu, Jing Yao, Xiaoyuan Yi, Aishan Maoliniyazi, Xing Xie, Xiaofeng Meng |
| 2025 | CVPR | AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation. | Datao Tang, Xiangyong Cao, Xuan Wu, Jialin Li, Jing Yao, Xueru Bai, Dongsheng Jiang, Yin Li, Deyu Meng |
| 2025 | CVPR | Towards Satellite Image Road Graph Extraction: A Global-Scale Dataset and A Novel Method. | Pan Yin, Kaiyu Li, Xiangyong Cao, Jing Yao, Lei Liu, Xueru Bai, Feng Zhou, Deyu Meng |
| 2025 | EMNLP | MoVa: Towards Generalizable Classification of Human Morals and Values. | Ziyu Chen, Junfei Sun, Chenxi Li, Tuan Dung Nguyen, Jing Yao, Xiaoyuan Yi, Xing Xie, Chenhao Tan, Lexing Xie |
| 2025 | ICASSP | Dike: Enhancing Fairness and Efficiency in GPU Clusters for Deep Learning. | Bingting Jiang, Jing Yao, Heyi Mu, Xin Su, Zhuo Tang |
| 2025 | ICPADS | Collaborative V2V Task Offloading for Safety-Aware Speed Optimization. | Jing Yao, Yongmin Zhang, Bingting Jiang, Pengyu Huang, Wei Wang |
| 2024 | IJCAI | On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models. | Xinpeng Wang, Shitong Duan, Xiaoyuan Yi, Jing Yao, Shanlin Zhou, Zhihua Wei, Peng Zhang, Dongkuan Xu, Maosong Sun, Xing Xie |
| 2024 | KDD | RecExplainer: Aligning Large Language Models for Explaining Recommendation Models. | Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie |
| 2024 | NAACL | Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Value. | Jing Yao, Xiaoyuan Yi, Yifan Gong, Xiting Wang, Xing Xie |
| 2024 | WWW | Aligning Language Models for Versatile Text-based Item Retrieval. | Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie |
| 2024 | WWW | RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems. | Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie |
| 2023 | EMNLP | Hybrid Inverted Index Is a Robust Accelerator for Dense Retrieval. | Peitian Zhang, Zheng Liu, Shitao Xiao, Zhicheng Dou, Jing Yao |
| 2023 | ICDE | Looking Back on the Past: Active Learning with Historical Evaluation Results : Extended Abstract. | Jing Yao, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen |
| 2023 | KDD | UA-FedRec: Untargeted Attack on Federated News Recommendation. | Jingwei Yi, Fangzhao Wu, Bin Zhu, Jing Yao, Zhulin Tao, Guangzhong Sun, Xing Xie |
| 2023 | WWW | Towards Explainable Collaborative Filtering with Taste Clusters Learning. | Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie |
| 2023 | WWW | Incorporating Explicit Subtopics in Personalized Search. | Shuting Wang, Zhicheng Dou, Jing Yao, Yujia Zhou, Ji-Rong Wen |
| 2022 | IGARSS | Multimodal Hyperspectral Unmixing via Attention Networks. | Zhu Han, Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Jocelyn Chanussot |
| 2022 | IGARSS | Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification. | Jing Yao, Danfeng Hong, Lianru Gao, Jocelyn Chanussot |
| 2021 | CIKM | USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence. | Jing Yao, Zhicheng Dou, Ruobing Xie, Yanxiong Lu, Zhiping Wang, Ji-Rong Wen |
| 2021 | IGARSS | Multimodal Convolutional Neural Networks with Cross-Channel Reconstruction. | Danfeng Hong, Xin Wu, Jing Yao, Lianru Gao, Bing Zhang, Jocelyn Chanussot |
| 2021 | WWW | FedPS: A Privacy Protection Enhanced Personalized Search Framework. | Jing Yao, Zhicheng Dou, Ji-Rong Wen |
| 2020 | ECCV | Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution. | Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiaoxiang Zhu, Zongben Xu |
| 2020 | IGARSS | Unsupervised Hyperspectral Embedding by Learning a Deep Regression Network. | Danfeng Hong, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu |
| 2020 | IGARSS | Locally Linear Reconstruction for Spectral Enhancement Using Limited Pixel-to-Pixel Multispectral and Hyperspectral Data. | Danfeng Hong, Jing Yao, Renlong Hang, Jocelyn Chanussot |
| 2020 | MMM | LDSNE: Learning Structural Network Embeddings by Encoding Local Distances. | Xiyue Gao, Jun Chen, Jing Yao, Wenqian Zhu |
| 2020 | WWW | RLPer: A Reinforcement Learning Model for Personalized Search. | Jing Yao, Zhicheng Dou, Jun Xu, Ji-Rong Wen |
| 2020 | SIGIR | Employing Personal Word Embeddings for Personalized Search. | Jing Yao, Zhicheng Dou, Ji-Rong Wen |
| 2015 | ICA3PP | Symmetric Game for Distributed Estimation in Energy Harvesting Wireless Sensor Networks with Selfish Sensors. | Guiyun Liu, Jing Yao, Hongbin Chen, Han Zhang, Dong Tang |
| 2014 | CEC | Dimensions cooperate by Euclidean metric in Particle Swarm Optimization. | Zezhou Li, Junqi Zhang, Wei Wang, Jing Yao |
| 2014 | CEC | Phase transition Particle Swarm Optimization. | Ji Ma, Junqi Zhang, Wei Wang, Jing Yao |
| 2014 | CEC | A fast restarting particle swarm optimizer. | Junqi Zhang, Xiong Zhu, Wei Wang, Jing Yao |
| 2013 | HPCC | A Privacy-Preserving Data Obfuscation Scheme Used in Data Statistics and Data Mining. | Pan Yang, Xiaolin Gui, Feng Tian, Jing Yao, Jiancai Lin |
| 2012 | ICARCV | A new coupled map car-following model under inter-vehicle communication. | Jingyi Huang, Jing Yao, Jian Sun, Jun Wang |
| 2008 | WWW | Web user de-identification in personalization. | Jiaqian Zheng, Jing Yao, Junyu Niu |
| 2007 | IGARSS | TAIC algorithm for the visibility of the elliptical orbits' satellites. | Rongfu Tang, Dongyun Yi, Jubo Zhu, Qiang Luo, Jing Yao |
| 2006 | IGARSS | The Associated Modeling and Precision Analysis of Spatial States and the Inter-Satellite Baseline of Formation Flying Satellites. | Jing Yao, Dongyun Yi, De-feng Gu |