Jianjin Zhang - RankMe

22 papers A* 6A 1Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AdNanny: One Reasoning LLM for All Offline Ads Recommendation Tasks. CoRR Nan Hu, Han Li, Jimeng Sun, Lu Wang, Fangkai Yang, Bo Qiao, Pu Zhao, David Dai, Mengyu Liu, Yuefeng Zhan, Jianjin Zhang, Weihao Han, Allen Sun, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Denvy Deng, Feng Sun, Qi Zhang
2026	J	`jnl`	MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens. CoRR Yu Chen, Runkai Chen, Sheng Yi, Xinda Zhao, Xiaohong Li, Jianjin Zhang, Jun Sun, Chuanrui Hu, Yunyun Han, Lidong Bing, Yafeng Deng, Tianqiao Chen
2025	—	`conf`	Alleviating Performance Degradation Caused by Out-of-Distribution Issues in Embedding-Based Retrieval. EMNLP (Findings) Haotong Bao, Jianjin Zhang, Qi Chen, Weihao Han, Zhengxin Zeng, Ruiheng Chang, Mingzheng Li, Hao Sun, Weiwei Deng, Feng Sun, Qian Zhang
2025	J	`jnl`	RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning. CoRR Mingrui Wu, Lu Wang, Pu Zhao, Fangkai Yang, Jianjin Zhang, Jianfeng Liu, Yuefeng Zhan, Weihao Han, Hao Sun, Jiayi Ji, Xiaoshuai Sun, Qingwei Lin, Weiwei Deng, Dongmei Zhang, Feng Sun, Qi Zhang, Rongrong Ji
2025	A*	`conf`	Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism. WWW Jun Yin, Zhengxin Zeng, Mingzheng Li, Hao Yan, Chaozhuo Li, Weihao Han, Jianjin Zhang, Ruochen Liu, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Shirui Pan, Senzhang Wang
2024	J	`jnl`	Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator. CoRR Jun Yin, Zhengxin Zeng, Mingzheng Li, Hao Yan, Chaozhuo Li, Weihao Han, Jianjin Zhang, Ruochen Liu, Allen Sun, Denvy Deng, Feng Sun, Qi Zhang, Shirui Pan, Senzhang Wang
2023	—	`conf`	Are GPT Embeddings Useful for Ads and Recommendation? KSEM (4) Wenjun Peng, Derong Xu, Tong Xu, Jianjin Zhang, Enhong Chen
2023	J	`jnl`	PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yunbo Wang, Haixu Wu, Jianjin Zhang, Zhifeng Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long
2022	A*	`conf`	Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. SIGIR Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie
2022	J	`jnl`	Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. CoRR Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Denvy Deng, Qi Zhang, Xing Xie
2022	A*	`conf`	Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. WWW Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Xing Xie
2022	J	`jnl`	Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. CoRR Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Chaozhuo Li, Yingxia Shao, Defu Lian, Xing Xie, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang
2022	J	`jnl`	Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search. CoRR Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Denvy Deng, Qi Zhang, Xing Xie
2022	A*	`conf`	Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search. KDD Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Weiwei Deng, Qi Zhang, Xing Xie
2021	J	`jnl`	PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning. CoRR Yunbo Wang, Haixu Wu, Jianjin Zhang, Zhifeng Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long
2020	J	`jnl`	Towards Good Practices of U-Net for Traffic Forecasting. CoRR Jingwei Xu, Jianjin Zhang, Zhiyu Yao, Yunbo Wang
2020	—	`conf`	Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes. NeurIPS (Competition and Demos) Michael Kopp, David P. Kreil, Moritz Neun, David Jonietz, Henry Martin, Pedro Herruzo, Aleksandra Gruca, Ali Soleymani, Fanyou Wu, Yang Liu, Jingwei Xu, Jianjin Zhang, Jay Santokhi, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Pak Hay Kwok, Qi Qi, Sepp Hochreiter
2019	A*	`conf`	Learning Fast Matching Models from Weak Annotations. WWW Xue Li, Zhipeng Luo, Hao Sun, Jianjin Zhang, Weihao Han, Xianqi Chu, Liangjie Zhang, Qi Zhang
2019	J	`jnl`	Learning Fast Matching Models from Weak Annotations. CoRR Xue Li, Zhipeng Luo, Hao Sun, Jianjin Zhang, Weihao Han, Xianqi Chu, Liangjie Zhang, Qi Zhang
2019	A*	`conf`	Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics. CVPR Yunbo Wang, Jianjin Zhang, Hongyu Zhu, Mingsheng Long, Jianmin Wang, Philip S. Yu
2019	A	`conf`	Z-Order Recurrent Neural Networks for Video Prediction. ICME Jianjin Zhang, Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu
2018	J	`jnl`	Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics. CoRR Yunbo Wang, Jianjin Zhang, Hongyu Zhu, Mingsheng Long, Jianmin Wang, Philip S. Yu