Anxiang Zeng - RankMe

80 papers A* 18A 2Journal 51Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CCCaption: Dual-Reward Reinforcement Learning for Complete and Correct Image Captioning. CoRR Zhijiang Tang, Linhua Wang, Jiaxin Qi, Weihao Jiang, Peng Hou, Anxiang Zeng, Jianqiang Huang
2026	J	`jnl`	Compass-Embedding v4: Robust Contrastive Learning for Multilingual E-commerce Embeddings. CoRR Pakorn Ueareeworakul, Shuman Liu, Jinghao Feng, Ling Hu, Zhantang Shi, Chengqi Sun, Liang Yao, Panyi Ouyang, Haibo Zhang, Anxiang Zeng
2026	J	`jnl`	ManCAR: Manifold-Constrained Latent Reasoning with Adaptive Test-Time Computation for Sequential Recommendation. CoRR Kun Yang, Yuxuan Zhu, Yazhe Chen, Siyao Zheng, Bangyang Hong, Kangle Wu, Yabo Ni, Anxiang Zeng, Cong Fu, Hui Li
2026	J	`jnl`	Orchestrating Tokens and Sequences: Dynamic Hybrid Policy Optimization for RLVR. CoRR Zijun Min, Bingshuai Liu, Ante Wang, Long Zhang, Anxiang Zeng, Haibo Zhang, Jinsong Su
2026	J	`jnl`	Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs. CoRR Yu Liang, Zhongjin Zhang, Yuxuan Zhu, Kerui Zhang, Zhiluohan Guo, Wenhang Zhou, Zonqi Yang, Kangle Wu, Yabo Ni, Anxiang Zeng, Cong Fu, Jianxin Wang, Jiazhi Xia
2026	J	`jnl`	SEA-Vision: A Multilingual Benchmark for Comprehensive Document and Scene Text Understanding in Southeast Asia. CoRR Pengfei Yue, Xingran Zhao, Juntao Chen, Peng Hou, Wang Longchao, Jianghang Lin, Shengchuan Zhang, Anxiang Zeng, Liujuan Cao
2026	J	`jnl`	Towards On-Policy SFT: Distribution Discriminant Theory and its Applications in LLM Training. CoRR Miaosen Zhang, Yishan Liu, Shuxia Lin, Xu Yang, Qi Dai, Chong Luo, Weihao Jiang, Peng Hou, Anxiang Zeng, Xin Geng, Baining Guo
2026	A*	`conf`	TreeBridge: Aligning LLM Embeddings in Industrial Recommender Systems. AAAI Yabo Ni, Yuanpeng Cao, Wenhang Zhou, Bangyang Hong, Zhongyi Zhang, Enlei Cai, Kangle Wu, Anxiang Zeng, Han Yu, Xiaoxiao Li
2025	J	`jnl`	A Probabilistic Framework for Temporal Distribution Generalization in Industry-Scale Recommender Systems. CoRR Yuxuan Zhu, Cong Fu, Yabo Ni, Anxiang Zeng, Yuan Fang
2025	J	`jnl`	Compass-Thinker-7B Technical Report. CoRR Anxiang Zeng, Haibo Zhang, Kaixiang Mo, Long Zhang, Shuman Liu, Yanhui Huang, Yawen Liu, Yuepeng Sheng, Yuwei Huang
2025	J	`jnl`	Dynamic masking-based feature interaction modeling for e-commerce click-through rate prediction. Eng. Appl. Artif. Intell. Yabo Ni, Yueqiu Wu, Jingyi Li, Anxiang Zeng, Han Yu, Xiaoxiao Li
2025	J	`jnl`	ESPO: Entropy Importance Sampling Policy Optimization. CoRR Yuepeng Sheng, Yuwei Huang, Shuman Liu, Haibo Zhang, Anxiang Zeng
2025	J	`jnl`	Each Prompt Matters: Scaling Reinforcement Learning Without Wasting Rollouts on Hundred-Billion-Scale MoE. CoRR Anxiang Zeng, Haibo Zhang, Hailing Zhang, Kaixiang Mo, Liang Yao, Ling Hu, Long Zhang, Shuman Liu, Shuyi Xie, Yanshi Li, Yizhang Chen, Yuepeng Sheng, Yuwei Huang, Zhaochen Xu, Zhiqiang Zhou, Ziqin Liew
2025	—	`conf`	Embed Progressive Implicit Preference in Unified Space for Deep Collaborative Filtering. KDD (2) Zhongjin Zhang, Yu Liang, Cong Fu, Yuxuan Zhu, Kun Wang, Yabo Ni, Anxiang Zeng, Jiazhi Xia
2025	J	`jnl`	Embed Progressive Implicit Preference in Unified Space for Deep Collaborative Filtering. CoRR Zhongjin Zhang, Yu Liang, Cong Fu, Yuxuan Zhu, Kun Wang, Yabo Ni, Anxiang Zeng, Jiazhi Xia
2025	J	`jnl`	Establishing Reliability Metrics for Reward Models in Large Language Models. CoRR Yizhou Chen, Yawen Liu, Xuesi Wang, Qingtao Yu, Guangda Huzhang, Anxiang Zeng, Han Yu, Zhiming Zhou
2025	J	`jnl`	Learning Personalizable Clustered Embedding for Recommender Systems. Trans. Recomm. Syst. Yizhou Chen, Guangda Huzhang, Anxiang Zeng, Qingtao Yu, Hui Sun, Heng-Yi Li, Jingyi Li, Yabo Ni, Han Yu, Zhiming Zhou
2025	J	`jnl`	MUG-V 10B: High-efficiency Training Pipeline for Large Video Generation Models. CoRR Yongshun Zhang, Zhongyi Fan, Yonghang Zhang, Zhangzikang Li, Weifeng Chen, Zhongwei Feng, Chaoyue Wang, Peng Hou, Anxiang Zeng
2025	J	`jnl`	Maximum Inner Product is Query-Scaled Nearest Neighbor. CoRR Tingyang Chen, Cong Fu, Kun Wang, Xiangyu Ke, Yunjun Gao, Wenchao Zhou, Yabo Ni, Anxiang Zeng
2025	J	`jnl`	Maximum Inner Product is Query-Scaled Nearest Neighbor. Proc. VLDB Endow. Tingyang Chen, Cong Fu, Kun Wang, Xiangyu Ke, Yunjun Gao, Wenchao Zhou, Yabo Ni, Anxiang Zeng
2025	J	`jnl`	Mid-Training of Large Language Models: A Survey. CoRR Kaixiang Mo, Yuxin Shi, Weiwei Weng, Zhiqiang Zhou, Shuman Liu, Haibo Zhang, Anxiang Zeng
2025	J	`jnl`	OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System. CoRR Sunhao Dai, Jiakai Tang, Jiahua Wu, Kun Wang, Yuxuan Zhu, Bingjun Chen, Bangyang Hong, Yu Zhao, Cong Fu, Kangle Wu, Yabo Ni, Anxiang Zeng, Wenjie Wang, Xu Chen, Jun Xu, See-Kiong Ng
2025	—	`conf`	Optimal Transport-Based Token Weighting scheme for Enhanced Preference Optimization. ACL (1) Meng Li, Guangda Huzhang, Haibo Zhang, Xiting Wang, Anxiang Zeng
2025	J	`jnl`	Optimal Transport-Based Token Weighting scheme for Enhanced Preference Optimization. CoRR Meng Li, Guangda Huzhang, Haibo Zhang, Xiting Wang, Anxiang Zeng
2025	J	`jnl`	RDPO: Real Data Preference Optimization for Physics Consistency Video Generation. CoRR Wenxu Qian, Chaoyue Wang, Hou Peng, Zhiyu Tan, Hao Li, Anxiang Zeng
2025	J	`jnl`	Reveal Hidden Pitfalls and Navigate Next Generation of Vector Similarity Search from Task-Centric Views. CoRR Tingyang Chen, Cong Fu, Jiahua Wu, Haotian Wu, Hua Fan, Xiangyu Ke, Yunjun Gao, Yabo Ni, Anxiang Zeng
2025	J	`jnl`	SPEC-RL: Accelerating On-Policy Reinforcement Learning via Speculative Rollouts. CoRR Bingshuai Liu, Ante Wang, Zijun Min, Liang Yao, Haibo Zhang, Yang Liu, Anxiang Zeng, Jinsong Su
2025	A*	`conf`	Stitching Inner Product and Euclidean Metrics for Topology-aware Maximum Inner Product Search. SIGIR Tingyang Chen, Cong Fu, Xiangyu Ke, Yunjun Gao, Yabo Ni, Anxiang Zeng
2025	J	`jnl`	Stitching Inner Product and Euclidean Metrics for Topology-aware Maximum Inner Product Search. CoRR Tingyang Chen, Cong Fu, Xiangyu Ke, Yunjun Gao, Yabo Ni, Anxiang Zeng
2025	J	`jnl`	Towards Reliable Evaluation of Large Language Models for Multilingual and Multimodal E-Commerce Applications. CoRR Shuyi Xie, Ziqin Liew, Hailing Zhang, Haibo Zhang, Ling Hu, Zhiqiang Zhou, Shuman Liu, Anxiang Zeng
2024	A*	`conf`	An E-Commerce Dataset Revealing Variations during Sales. SIGIR Jianfu Zhang, Qingtao Yu, Yizhou Chen, Guoliang Zhou, Yawen Liu, Yawei Sun, Chen Liang, Guangda Huzhang, Yabo Ni, Anxiang Zeng, Han Yu
2024	A*	`conf`	Residual Multi-Task Learner for Applied Ranking. KDD Cong Fu, Kun Wang, Jiahua Wu, Yizhou Chen, Guangda Huzhang, Yabo Ni, Anxiang Zeng, Zhiming Zhou
2024	J	`jnl`	Residual Multi-Task Learner for Applied Ranking. CoRR Cong Fu, Kun Wang, Jiahua Wu, Yizhou Chen, Guangda Huzhang, Yabo Ni, Anxiang Zeng, Zhiming Zhou
2024	A*	`conf`	Transformer-Empowered Multi-Modal Item Embedding for Enhanced Image Search in E-commerce. AAAI Chang Liu, Peng Hou, Anxiang Zeng, Han Yu
2023	J	`jnl`	AliExpress Learning-to-Rank: Maximizing Online Model Performance Without Going Online. IEEE Trans. Knowl. Data Eng. Guangda Huzhang, Zhen-Jia Pang, Yongqing Gao, Yawen Liu, Weijie Shen, Wen-Ji Zhou, Qianying Lin, Qing Da, Anxiang Zeng, Han Yu, Yang Yu, Zhi-Hua Zhou
2023	A*	`conf`	Clustered Embedding Learning for Recommender Systems. WWW Yizhou Chen, Guangda Huzhang, Anxiang Zeng, Qingtao Yu, Hui Sun, Heng-Yi Li, Jingyi Li, Yabo Ni, Han Yu, Zhiming Zhou
2023	J	`jnl`	Clustered Embedding Learning for Recommender Systems. CoRR Yizhou Chen, Guangda Huzhang, Anxiang Zeng, Qingtao Yu, Hui Sun, Heng-Yi Li, Jingyi Li, Yabo Ni, Han Yu, Zhiming Zhou
2023	A*	`conf`	Recurrent Temporal Revision Graph Networks. NeurIPS Yizhou Chen, Anxiang Zeng, Qingtao Yu, Kerui Zhang, Yuanpeng Cao, Kangle Wu, Guangda Huzhang, Han Yu, Zhiming Zhou
2023	J	`jnl`	Recurrent Temporal Revision Graph Networks. CoRR Yizhou Chen, Anxiang Zeng, Guangda Huzhang, Qingtao Yu, Kerui Zhang, Yuanpeng Cao, Kangle Wu, Han Yu, Zhiming Zhou
2023	J	`jnl`	Transformer-empowered Multi-modal Item Embedding for Enhanced Image Search in E-Commerce. CoRR Chang Liu, Peng Hou, Anxiang Zeng, Han Yu
2022	—	`conf`	Cross-Lingual Product Retrieval in E-Commerce Search. PAKDD (2) Wenya Zhu, Xiaoyu Lv, Baosong Yang, Yinghua Zhang, Xu Yong, Linlong Xu, Yinfu Feng, Haibo Zhang, Qing Da, Anxiang Zeng, Ronghua Chen
2022	—	`conf`	DHA: Product Title Generation with Discriminative Hierarchical Attention for E-commerce. PAKDD (3) Wenya Zhu, Yinghua Zhang, Yu Zhang, Yu-Hang Zhou, Yinfu Feng, Yuxiang Wu, Qing Da, Anxiang Zeng
2022	A*	`conf`	Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce. AAAI Heng-Yi Li, Yabo Ni, Anxiang Zeng, Han Yu, Chunyan Miao
2021	A*	`conf`	A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments. AAAI Yu-Hang Zhou, Peng Hu, Chen Liang, Huan Xu, Guangda Huzhang, Yinfu Feng, Qing Da, Xinshang Wang, Anxiang Zeng
2021	J	`jnl`	Diversity Regularized Interests Modeling for Recommender Systems. CoRR Junmei Hao, Jingcheng Shi, Qing Da, Anxiang Zeng, Yujie Dun, Xueming Qian, Qianying Lin
2021	A*	`conf`	Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank. AAAI Anxiang Zeng, Han Yu, Hua-Lin He, Yabo Ni, Yongliang Li, Jingren Zhou, Chunyan Miao
2021	J	`jnl`	Improving Search Engine Efficiency through Contextual Factor Selection. AI Mag. Anxiang Zeng, Han Yu, Qing Da, Yusen Zhan, Yang Yu, Jingren Zhou, Chunyan Miao
2021	A	`conf`	Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems. RecSys Danni Peng, Sinno Jialin Pan, Jie Zhang, Anxiang Zeng
2021	J	`jnl`	Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems. CoRR Danni Peng, Sinno Jialin Pan, Jie Zhang, Anxiang Zeng
2021	J	`jnl`	Poisson Vector Graphics (PVG)-Guided Face Color Transfer in Videos. IEEE Computer Graphics and Applications Qian Fu, Ying He, Fei Hou, Qian Sun, Anxiang Zeng, Zhenchuan Huang, Juyong Zhang, Yong-Jin Liu
2021	A*	`conf`	Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract). AAAI Danni Peng, Xiaobo Hu, Anxiang Zeng, Jie Zhang
2020	A*	`conf`	Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection. AAAI Anxiang Zeng, Han Yu, Qing Da, Yusen Zhan, Chunyan Miao
2020	J	`jnl`	Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction. CoRR Yanshi Wang, Jie Zhang, Qing Da, Anxiang Zeng
2020	J	`jnl`	Generator and Critic: A Deep Reinforcement Learning Approach for Slate Re-ranking in E-commerce. CoRR Jianxiong Wei, Anxiang Zeng, Yueqiu Wu, Peng Guo, Qingsong Hua, Qingpeng Cai
2020	J	`jnl`	Hybrid Interest Modeling for Long-tailed Users. CoRR Lifang Deng, Jin Niu, Angulia Yang, Qidi Xu, Xiang Fu, Jiandong Zhang, Anxiang Zeng
2020	A	`conf`	Improving Multi-Scenario Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space. CIKM Pengcheng Li, Runze Li, Qing Da, Anxiang Zeng, Lijun Zhang
2020	—	`conf`	Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce. ICDM (Workshops) Yuting Chen, Yanshi Wang, Yabo Ni, Anxiang Zeng, Lanfen Lin
2020	J	`jnl`	Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce. CoRR Yuting Chen, Yanshi Wang, Yabo Ni, Anxiang Zeng, Lanfen Lin
2020	J	`jnl`	Validation Set Evaluation can be Wrong: An Evaluator-Generator Approach for Maximizing Online Performance of Ranking in E-commerce. CoRR Guangda Huzhang, Zhen-Jia Pang, Yongqing Gao, Wen-Ji Zhou, Qing Da, Anxiang Zeng, Yang Yu
2019	A*	`conf`	An Online Intelligent Visual Interaction System. IJCAI Anxiang Zeng, Han Yu, Xin Gao, Kairi Ou, Zhenchuan Huang, Peng Hou, Mingli Song, Jingshu Zhang, Chunyan Miao
2019	J	`jnl`	CU-Net: Component Unmixing Network for Textile Fiber Identification. Int. J. Comput. Vis. Zunlei Feng, Weixin Liang, Daocheng Tao, Li Sun, Anxiang Zeng, Mingli Song
2019	J	`jnl`	Matrix embedding method in match for session-based recommendation. CoRR Qizhi Zhang, Yi Lin, Kangle Wu, Yongliang Li, Anxiang Zeng
2019	A*	`conf`	Policy Optimization with Model-Based Explorations. AAAI Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang
2019	J	`jnl`	Vectorization Based Color Transfer for Portrait Images. Comput. Aided Des. Qian Fu, Ying He, Fei Hou, Juyong Zhang, Anxiang Zeng, Yong-Jin Liu
2019	A*	`conf`	Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning. AAAI Jing-Cheng Shi, Yang Yu, Qing Da, Shi-Yong Chen, Anxiang Zeng
2018	J	`jnl`	Accelerating E-Commerce Search Engine Ranking by Contextual Factor Selection. CoRR Yusen Zhan, Qing Da, Fei Xiao, Anxiang Zeng, Yang Yu
2018	A*	`conf`	Dual Swap Disentangling. NeurIPS Zunlei Feng, Xinchao Wang, Chenglong Ke, Anxiang Zeng, Dacheng Tao, Mingli Song
2018	J	`jnl`	Dual Swap Disentangling. CoRR Zunlei Feng, Xinchao Wang, Chenglong Ke, Anxiang Zeng, Dacheng Tao, Mingli Song
2018	A*	`conf`	Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks. KDD Yabo Ni, Dan Ou, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, Luo Si
2018	J	`jnl`	Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks. CoRR Yabo Ni, Dan Ou, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, Luo Si
2018	J	`jnl`	Policy Optimization with Model-based Explorations. CoRR Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang
2018	A*	`conf`	Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application. KDD Yujing Hu, Qing Da, Anxiang Zeng, Yang Yu, Yinghui Xu
2018	J	`jnl`	Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application. CoRR Yujing Hu, Qing Da, Anxiang Zeng, Yang Yu, Yinghui Xu
2018	—	`conf`	SPEEDING Up the Metabolism in E-commerce by Reinforcement Mechanism DESIGN. ECML/PKDD (3) Hua-Lin He, Chun-Xiang Pan, Qing Da, Anxiang Zeng
2018	—	`conf`	Selective Zero-Shot Classification with Augmented Attributes. ECCV (9) Jie Song, Chengchao Shen, Jie Lei, Anxiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song
2018	J	`jnl`	Selective Zero-Shot Classification with Augmented Attributes. CoRR Jie Song, Chengchao Shen, Jie Lei, Anxiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song
2018	J	`jnl`	Speeding up the Metabolism in E-commerce by Reinforcement Mechanism Design. CoRR Hua-Lin He, Chun-Xiang Pan, Qing Da, Anxiang Zeng
2018	—	`conf`	Speeding up the Metabolism in e-Commerce by Reinforcement Mechanism Design. eCOM@SIGIR Hua-Lin He, Chun-Xiang Pan, Qing Da, Anxiang Zeng
2018	J	`jnl`	Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning. CoRR Jing-Cheng Shi, Yang Yu, Qing Da, Shi-Yong Chen, Anxiang Zeng
2009	—	`conf`	Real-Time Visualization of Virtual Huge Texture. ICDIP Zeyu Li, Hui Li, Anxiang Zeng, Lian Wang, Yongwen Wang