Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics. - Yunbo Wang; Jianjin Zhang; Hongyu Zhu; Mingsheng Long; Jianmin Wang 001; Philip S. Yu (CVPR, 2019)

Z-Order Recurrent Neural Networks for Video Prediction. - Jianjin Zhang; Yunbo Wang; Mingsheng Long; Jianmin Wang 001; Philip S. Yu (ICME, 2019)

Learning Fast Matching Models from Weak Annotations. - Xue Li; Zhipeng Luo; Hao Sun; Jianjin Zhang; Weihao Han; Xianqi Chu; Liangjie Zhang; Qi Zhang (WWW, 2019)

Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes. - Michael Kopp 001; David P. Kreil; Moritz Neun; David Jonietz; Henry Martin; Pedro Herruzo; Aleksandra Gruca; Ali Soleymani; Fanyou Wu; Yang Liu 253; Jingwei Xu; Jianjin Zhang; et al. (NeurIPS (Competition and Demos), 2020)

Towards Good Practices of U-Net for Traffic Forecasting. - Jingwei Xu; Jianjin Zhang; Zhiyu Yao; Yunbo Wang (CoRR, 2020)

Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search. - Jianjin Zhang; Zheng Liu 011; Weihao Han; Shitao Xiao; Ruicheng Zheng; Yingxia Shao; Hao Sun 015; Hanqing Zhu; Premkumar Srinivasan; Weiwei Deng; Qi Zhang 066; Xing Xie 001 (KDD, 2022)

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. - Shitao Xiao; Zheng Liu 011; Weihao Han; Jianjin Zhang; Defu Lian; Yeyun Gong; Qi Chen 009; Fan Yang 024; Hao Sun 015; Yingxia Shao; Xing Xie 001 (SIGIR, 2022)

Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. - Shitao Xiao; Zheng Liu 011; Weihao Han; Jianjin Zhang; Yingxia Shao; Defu Lian; Chaozhuo Li; Hao Sun 015; Denvy Deng; Liangjie Zhang; Qi Zhang 066; Xing Xie 001 (WWW, 2022)

Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search. - Jianjin Zhang; Zheng Liu 011; Weihao Han; Shitao Xiao; Ruicheng Zheng; Yingxia Shao; Hao Sun 015; Hanqing Zhu; Premkumar Srinivasan; Denvy Deng; Qi Zhang 066; Xing Xie 001 (CoRR, 2022)

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. - Shitao Xiao; Zheng Liu 011; Weihao Han; Jianjin Zhang; Defu Lian; Yeyun Gong; Qi Chen 009; Fan Yang 024; Hao Sun 015; Yingxia Shao; Denvy Deng; Qi Zhang 001; et al. (CoRR, 2022)

Are GPT Embeddings Useful for Ads and Recommendation? - Wenjun Peng; Derong Xu; Tong Xu 001; Jianjin Zhang; Enhong Chen (KSEM (4), 2023)

PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning. - Yunbo Wang; Haixu Wu; Jianjin Zhang; Zhifeng Gao; Jianmin Wang 001; Philip S. Yu; Mingsheng Long (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator. - Jun Yin 005; Zhengxin Zeng; Mingzheng Li; Hao Yan 004; Chaozhuo Li; Weihao Han; Jianjin Zhang; Ruochen Liu 001; Allen Sun; Denvy Deng; Feng Sun 008; Qi Zhang 066; et al. (CoRR, 2024)

Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism. - Jun Yin 005; Zhengxin Zeng; Mingzheng Li; Hao Yan 004; Chaozhuo Li; Weihao Han; Jianjin Zhang; Ruochen Liu 001; Hao Sun 015; Weiwei Deng; Feng Sun 008; Qi Zhang 066; et al. (WWW, 2025)

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning. - Mingrui Wu; Lu Wang 029; Pu Zhao 004; Fangkai Yang; Jianjin Zhang; Jianfeng Liu; Yuefeng Zhan; Weihao Han; Hao Sun 015; Jiayi Ji; Xiaoshuai Sun; Qingwei Lin; et al. (CoRR, 2025)