AntiWorm NPU-based Parallel Bloom Filters for TCP/IP Content Processing in Giga-Ethernet LAN. - Zhen Chen 001; Chuang Lin 002; Jia Ni; Dong-Hua Ruan; Bo Zheng 007; Yixin Jiang (LCN, 2005)

AntiWorm NPU-based Parallel Bloom filters in Giga-Ethernet LAN. - Zhen Chen 001; Chuang Lin 002; Jia Ni; Dong-Hua Ruan; Bo Zheng 007; Zhangxi Tan; Yixin Jiang; Xuehai Peng; An'an Luo; Bing Zhu; Yao Yue; Yang Wang 018; et al. (ICC, 2006)

AM-Trie: A High-Speed Parallel Packet Classification Algorithm for Network Processor. - Bo Zheng 007; Chuang Lin 002 (International Conference on Computational Science (4), 2006)

AM-Trie: An OC-192 Parallel Multidimensional Packet Classification Algorithm. - Bo Zheng 007; Chuang Lin 002; Xuehai Peng (IMSCCS (1), 2006)

A Minimax Game for Instance based Selective Transfer Learning. - Bo Wang; Minghui Qiu; Xisen Wang; Yaliang Li; Yu Gong; Xiaoyi Zeng; Jun Huang 007; Bo Zheng 007; Deng Cai 001; Jingren Zhou 001 (KDD, 2019)

Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning. - Ryuichi Takanobu; Tao Zhuang; Minlie Huang; Jun Feng; Haihong Tang; Bo Zheng 007 (WWW, 2019)

Cross-Graph Convolution Learning for Large-Scale Text-Picture Shopping Guide in E-Commerce Search. - Tong Zhang 021; Baoliang Cui; Zhen Cui 001; Haikuan Huang; Jian Yang 003; Hongbo Deng; Bo Zheng 007 (ICDE, 2020)

Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching. - Zongtao Liu; Bin Ma 001; Quan Liu 008; Jian Xu 015; Bo Zheng 007 (CIKM, 2021)

AutoHERI: Automated Hierarchical Representation Integration for Post-Click Conversion Rate Estimation. - Penghui Wei; Weimin Zhang; Zixuan Xu; Shaoguo Liu; Kuang-chih Lee; Bo Zheng 007 (CIKM, 2021)

SMAD: Scalable Multi-view Ad Retrieval System for E-Commerce Sponsored Search. - Shiyang Wen; Yiran Chen 012; Zhi Yang 001; Yan Zhang 117; Di Zhang; Liang Wang 001; Bo Zheng 007 (CIKM, 2021)

Binary Code based Hash Embedding for Web-scale Applications. - Bencheng Yan; Pengjie Wang 002; Jinquan Liu; Wei Lin 016; Kuang-Chih Lee; Jian Xu 015; Bo Zheng 007 (CIKM, 2021)

Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. - Bencheng Yan; Pengjie Wang 002; Kai Zhang 001; Wei Lin 016; Kuang-Chih Lee; Jian Xu 015; Bo Zheng 007 (CIKM, 2021)

Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search. - Ziyu Guan; Hongchang Wu; Qingyu Cao; Hao Liu; Wei Zhao 019; Sheng Li; Cai Xu; Guang Qiu; Jian Xu 015; Bo Zheng 007 (KDD, 2021)

Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction. - Feng Li; Bencheng Yan; Qingqing Long; Pengjie Wang 002; Wei Lin 016; Jian Xu 015; Bo Zheng 007 (SIGIR, 2021)

Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach. - Xu Ma; Pengjie Wang 002; Hui Zhao; Shaoguo Liu; Chuhan Zhao; Wei Lin 016; Kuang-Chih Lee; Jian Xu 015; Bo Zheng 007 (SIGIR, 2021)

Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation. - Rihan Chen; Bin Liu; Han Zhu 001; Yaoxuan Wang; Qi Li; Buting Ma; Qingbo Hua; Jun Jiang; Yunlong Xu; Hongbo Deng; Bo Zheng 007 (CIKM, 2022)

Hierarchically Constrained Adaptive Ad Exposure in Feeds. - Dagui Chen; Qi Yan; Chunjie Chen 004; Zhenzhe Zheng; Yangsu Liu; Zhenjia Ma; Chuan Yu; Jian Xu 015; Bo Zheng 007 (CIKM, 2022)

Adaptive Domain Interest Network for Multi-domain Recommendation. - Yuchen Jiang; Qi Li; Han Zhu 001; Jinbei Yu; Jin Li; Ziru Xu; Huihui Dong; Bo Zheng 007 (CIKM, 2022)

STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction. - Yucheng Lu; Qiang Ji; Liang Wang 001; Tianshu Wu; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (CIKM, 2022)

Visual Encoding and Debiasing for CTR Prediction. - Guipeng Xv; Si Chen 010; Chen Lin 001; Wanxian Guan; Xingyuan Bu; Xubin Li; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (CIKM, 2022)

AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction. - Xuanhua Yang; Xiaoyu Peng; Penghui Wei; Shaoguo Liu; Liang Wang 001; Bo Zheng 007 (CIKM, 2022)

Graph-based Weakly Supervised Framework for Semantic Relevance Learning in E-commerce. - Zhiyuan Zeng; Yuzhi Huang; Tianshu Wu; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (CIKM, 2022)

KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging. - Yujing Zhang; Zhangming Chan; Shuhao Xu; Weijie Bian; Shuguang Han; Hongbo Deng; Bo Zheng 007 (CIKM, 2022)

Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models. - Zhao-Yu Zhang; Xiang-Rong Sheng; Yujing Zhang; Biye Jiang; Shuguang Han; Hongbo Deng; Bo Zheng 007 (CIKM, 2022)

AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System. - Zhirong Xu; Shiyang Wen; Junshan Wang; Guojun Liu; Liang Wang 001; Zhi Yang 001; Lei Ding; Yan Zhang 117; Di Zhang; Jian Xu 015; Bo Zheng 007 (ICDE, 2022)

PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems. - Yuanxing Zhang; Langshi Chen; Siran Yang; Man Yuan; Huimin Yi; Jie Zhang 078; Jiamang Wang; Jianbo Dong; Yunlong Xu; Yue Song; Yong Li 020; Di Zhang; et al. (ICDE, 2022)

EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search. - Chi Chen; Hui Chen; Kangzhi Zhao; Junsheng Zhou; Li He; Hongbo Deng; Jian Xu 015; Bo Zheng 007; Yong Zhang 002; Chunxiao Xing (KDD, 2022)

Pretraining Representations of Multi-modal Multi-query E-commerce Search. - Xinyi Liu; Wanxian Guan; Lianyun Li; Hui Li 057; Chen Lin 001; Xubin Li; Si Chen 010; Jian Xu 015; Hongbo Deng; Bo Zheng 007 (KDD, 2022)

ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning. - Haozhe Wang 002; Chao Du; Panyan Fang; Shuo Yuan; Xuming He 001; Liang Wang 001; Bo Zheng 007 (KDD, 2022)

Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction. - Kailun Wu; Weijie Bian; Zhangming Chan; Lejian Ren; Shiming Xiang; Shuguang Han; Hongbo Deng; Bo Zheng 007 (KDD, 2022)

CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning. - Penghui Wei; Xuanhua Yang; Shaoguo Liu; Liang Wang 001; Bo Zheng 007 (NAACL-HLT (Industry Papers), 2022)

Sustainable Online Reinforcement Learning for Auto-bidding. - Zhiyu Mou; Yusen Huo; Rongquan Bai; Mingzhou Xie; Chuan Yu; Jian Xu 015; Bo Zheng 007 (NeurIPS, 2022)

GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models. - Wenbo Su; Yuanxing Zhang; Yufeng Cai; Kaixu Ren; Pengjie Wang 002; Huimin Yi; Yue Song; Jing Chen; Hongbo Deng; Jian Xu 015; Lin Qu; Bo Zheng 007 (NeurIPS, 2022)

APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction. - Bencheng Yan; Pengjie Wang 002; Kai Zhang 001; Feng Li; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (NeurIPS, 2022)

Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization. - Mingyuan Cheng; Xinru Liao; Quan Liu 008; Bin Ma 001; Jian Xu 015; Bo Zheng 007 (SIGIR, 2022)

Transform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation. - Pengyang Li; Rong Chen; Quan Liu 008; Jian Xu 015; Bo Zheng 007 (SIGIR, 2022)

Joint Optimization of Ad Ranking and Creative Selection. - Kaiyi Lin; Xiang Zhang 001; Feng Li; Pengjie Wang 002; Qingqing Long; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (SIGIR, 2022)

Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding. - Penghui Wei; Shaoguo Liu; Xuanhua Yang; Liang Wang 001; Bo Zheng 007 (SIGIR, 2022)

Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising. - Penghui Wei; Weimin Zhang; Ruijie Hou; Jinquan Liu; Shaoguo Liu; Liang Wang 001; Bo Zheng 007 (SIGIR, 2022)

A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. - Chao Wen; Miao Xu; Zhilin Zhang 003; Zhenzhe Zheng; Yuhui Wang 004; Xiangyu Liu; Yu Rong; Dong Xie; Xiaoyang Tan; Chuan Yu; Jian Xu 015; Fan Wu 006; et al. (WSDM, 2022)

Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling. - Qianqian Zhang; Xinru Liao; Quan Liu 008; Jian Xu 015; Bo Zheng 007 (WSDM, 2022)

Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction. - Yu Chen; Jiaqi Jin; Hui Zhao; Pengjie Wang 002; Guojun Liu; Jian Xu 015; Bo Zheng 007 (WWW, 2022)

DC-GNN: Decoupled Graph Neural Networks for Improving and Accelerating Large-Scale E-commerce Retrieval. - Chenchen Feng; Yu He; Shiyang Wen; Guojun Liu; Liang Wang 001; Jian Xu 015; Bo Zheng 007 (WWW (Companion Volume), 2022)

MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration. - Siguang Huang; Yunli Wang; Lili Mou; Huayue Zhang; Han Zhu 001; Chuan Yu; Bo Zheng 007 (WWW, 2022)

UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation. - Zixuan Xu; Penghui Wei; Weimin Zhang; Shaoguo Liu; Liang Wang 001; Bo Zheng 007 (WWW, 2022)

APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction. - Bencheng Yan; Pengjie Wang 002; Kai Zhang 001; Feng Li; Jian Xu 015; Bo Zheng 007 (CoRR, 2022)

Visual Encoding and Debiasing for CTR Prediction. - Si Chen 010; Chen Lin 001; Wanxian Guan; Jiayi Wei; Xingyuan Bu; He Guo 006; Hui Li 057; Xubin Li; Jian Xu 015; Bo Zheng 007 (CoRR, 2022)

GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Model. - Wenbo Su; Yuanxing Zhang; Yufeng Cai; Kaixu Ren; Pengjie Wang 002; Huimin Yi; Yue Song; Jing Chen; Hongbo Deng; Jian Xu 015; Lin Qu; Bo Zheng 007 (CoRR, 2022)

MCMF: Multi-Constraints With Merging Features Bid Optimization in Online Display Advertising. - Xiao Wang; Shaoguo Liu; Yidong Jia; Yuxin Fu; Yufang Yu; Liang Wang 001; Bo Zheng 007 (CoRR, 2022)

Personalized Inter-Task Contrastive Learning for CTR&CVR Joint Estimation. - Zihan Lin; Xuanhua Yang; Shaoguo Liu; Xiaoyu Peng; Wayne Xin Zhao; Liang Wang 001; Bo Zheng 007 (CoRR, 2022)

Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models. - Zhao-Yu Zhang; Xiang-Rong Sheng; Yujing Zhang; Biye Jiang; Shuguang Han; Hongbo Deng; Bo Zheng 007 (CoRR, 2022)

Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation. - Zixuan Xu; Penghui Wei; Shaoguo Liu; Liang Wang 001; Bo Zheng 007 (CoRR, 2022)

BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network. - Shuai Fan 007; Jinping Gou; Yang Li 213; Jiaxing Bai; Chen Lin 001; Wanxian Guan; Xubin Li; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (CIKM, 2023)

Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao. - Jingyue Gao; Shuguang Han; Han Zhu 001; Siran Yang; Yuning Jiang 001; Jian Xu 015; Bo Zheng 007 (CIKM, 2023)

MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising. - Zhen Gong; Lvyin Niu; Yang Zhao 039; Miao Xu; Haoqi Zhang; Zhenzhe Zheng; Zhilin Zhang 003; Rongquan Bai; Chuan Yu; Jian Xu 015; Bo Zheng 007; Fan Wu 006 (CIKM, 2023)

PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling. - Jiacen Hu; Zhangming Chan; Yu Zhang 176; Shuguang Han; Siyuan Lou; Baolin Liu 001; Han Zhu 001; Yuning Jiang 001; Jian Xu 015; Bo Zheng 007 (CIKM, 2023)

Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. - Shanlei Mu; Penghui Wei; Wayne Xin Zhao; Shaoguo Liu; Liang Wang 001; Bo Zheng 007 (CIKM, 2023)

COPR: Consistency-Oriented Pre-Ranking for Online Advertising. - Zhishan Zhao; Jingyue Gao; Yu Zhang 176; Shuguang Han; Siyuan Lou; Xiang-Rong Sheng; Zhe Wang; Han Zhu 001; Yuning Jiang 001; Jian Xu 015; Bo Zheng 007 (CIKM, 2023)

Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction. - Yunfeng Zhao; Xu Yan; Xiaoqiang Gui; Shuguang Han; Xiang-Rong Sheng; Guoxian Yu; Jufeng Chen; Zhao Xu; Bo Zheng 007 (CIKM, 2023)

Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach. - Zhangming Chan; Yu Zhang 176; Shuguang Han; Yong Bai; Xiang-Rong Sheng; Siyuan Lou; Jiacen Hu; Baolin Liu 001; Yuning Jiang 001; Jian Xu 015; Bo Zheng 007 (KDD, 2023)

Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based Approach. - Ningyuan Li 001; Yunxuan Ma; Yang Zhao 039; Zhijian Duan 001; Yurong Chen 002; Zhilin Zhang 003; Jian Xu 015; Bo Zheng 007; Xiaotie Deng (KDD, 2023)

End-to-End Inventory Prediction and Contract Allocation for Guaranteed Delivery Advertising. - Wuyang Mao; Chuanren Liu; Yundu Huang; Zhonglin Zu; M. Harshvardhan; Liang Wang 001; Bo Zheng 007 (KDD, 2023)

Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model. - Xiang-Rong Sheng; Jingyue Gao; Yueyao Cheng; Siran Yang; Shuguang Han; Hongbo Deng; Yuning Jiang 001; Jian Xu 015; Bo Zheng 007 (KDD, 2023)

Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning. - Haozhe Wang 002; Chao Du; Panyan Fang; Li He; Liang Wang 001; Bo Zheng 007 (KDD, 2023)

RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads. - Penghui Wei; Yongqiang Chen; Shaoguo Liu; Liang Wang 001; Bo Zheng 007 (KDD, 2023)

E-commerce Search via Content Collaborative Graph Neural Network. - Guipeng Xv; Chen Lin 001; Wanxian Guan; Jinping Gou; Xubin Li; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (KDD, 2023)

A Personalized Automated Bidding Framework for Fairness-aware Online Advertising. - Haoqi Zhang; Lvyin Niu; Zhenzhe Zheng; Zhilin Zhang 003; Shan Gu; Fan Wu 006; Chuan Yu; Jian Xu 015; Guihai Chen; Bo Zheng 007 (KDD, 2023)

On Structural Expressive Power of Graph Transformers. - Wenhao Zhu; Tianyu Wen; Guojie Song; Liang Wang 001; Bo Zheng 007 (KDD, 2023)

Combating Bilateral Edge Noise for Robust Link Prediction. - Zhanke Zhou; Jiangchao Yao; Jiaxu Liu; Xiawei Guo; Quanming Yao; Li He; Liang Wang 001; Bo Zheng 007; Bo Han 003 (NeurIPS, 2023)

Multi-Scenario Ranking with Adaptive Feature Learning. - Yu Tian; Bofang Li; Si Chen 010; Xubin Li; Hongbo Deng; Jian Xu 015; Bo Zheng 007; Qian Wang 002; Chenliang Li (SIGIR, 2023)

FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning. - Penghui Wei; Hongjian Dou; Shaoguo Liu; Rongjun Tang; Li Liu 036; Liang Wang 001; Bo Zheng 007 (SIGIR, 2023)

Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning. - Xuanhua Yang; Jianxin Zhao; Shaoguo Liu; Liang Wang 001; Bo Zheng 007 (SIGIR, 2023)

Fairness-aware Guaranteed Display Advertising Allocation under Traffic Cost Constraint. - Liang Dai; Zhonglin Zu; Hao Wu 075; Liang Wang 001; Bo Zheng 007 (WWW, 2023)

Rethinking Structural Encodings: Adaptive Graph Transformer for Node Classification Task. - Xiaojun Ma; Qin Chen; Yi Wu; Guojie Song; Liang Wang 001; Bo Zheng 007 (WWW, 2023)

Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation. - Zixuan Xu; Penghui Wei; Shaoguo Liu; Weimin Zhang; Liang Wang 001; Bo Zheng 007 (WWW, 2023)

Robust Representation Learning for Unified Online Top-K Recommendation. - Minfang Lu; Yuchen Jiang; Huihui Dong; Qi Li; Ziru Xu; Yuanlin Liu; Lixia Wu; Haoyuan Hu; Han Zhu 001; Yuning Jiang 001; Jian Xu 015; Bo Zheng 007 (CoRR, 2023)

Learning against Non-credible Auctions. - Qian Wang 025; Xuanzhi Xia; Zongjun Yang; Xiaotie Deng; Yuqing Kong; Zhilin Zhang 003; Liang Wang 001; Chuan Yu; Jian Xu 015; Bo Zheng 007 (CoRR, 2023)

Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization. - Liang Dai; Kejie Lyu; Chengcheng Zhang; Guangming Zhao; Zhonglin Zu; Liang Wang 001; Bo Zheng 007 (AAAI, 2024)

MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues. - Ge Bai; Jie Liu 047; Xingyuan Bu; Yancheng He; Jiaheng Liu; Zhanhui Zhou; Zhuoran Lin; Wenbo Su; Tiezheng Ge; Bo Zheng 007; Wanli Ouyang (ACL (1), 2024)

E2-LLM: Efficient and Extreme Length Extension of Large Language Models. - Jiaheng Liu; Zhiqi Bai; Yuanxing Zhang; Chenchen Zhang; Yu Zhang 176; Ge Zhang 009; Jiakai Wang; Haoran Que; Yukang Chen; Wenbo Su; Tiezheng Ge; Jie Fu 001; et al. (ACL (Findings), 2024)

ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models. - Yanan Wu; Jie Liu 047; Xingyuan Bu; Jiaheng Liu; Zhanhui Zhou; Yuanxing Zhang; Chenchen Zhang; Zhiqi Bai; Haibin Chen; Tiezheng Ge; Wanli Ouyang; Wenbo Su; et al. (ACL (Findings), 2024)

Synchronized Video Storytelling: Generating Video Narrations with Structured Storyline. - Dingyi Yang; Chunru Zhan; Ziheng Wang; Biao Wang; Tiezheng Ge; Bo Zheng 007; Qin Jin (ACL (1), 2024)

Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights. - Xiang-Rong Sheng; Feifan Yang; Litong Gong; Biao Wang; Zhangming Chan; Yujing Zhang; Yueyao Cheng; Yong-Nan Zhu; Tiezheng Ge; Han Zhu 001; Yuning Jiang 001; Jian Xu 015; et al. (CIKM, 2024)

Laner-GNN: Adapting to Long-Tail Degree Distribution with Latent Neighborhood Restorers. - Lingjun Xu; Haowen Li; Guojie Song; Liang Wang 001; Bo Zheng 007 (ECAI, 2024)

Accelerating Image Generation with Sub-path Linear Approximation Model. - Chen Xu; Tianhui Song; Weixin Feng; Xubin Li; Tiezheng Ge; Bo Zheng 007; Limin Wang 002 (ECCV (53), 2024)

GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models. - Shilong Li; Yancheng He; Hangyu Guo; Xingyuan Bu; Ge Bai; Jie Liu 047; Jiaheng Liu; Xingwei Qu; Yangguang Li 001; Wanli Ouyang; Wenbo Su; Bo Zheng 007 (EMNLP (Findings), 2024)

Generative Auto-bidding via Conditional Diffusion Modeling. - Jiayan Guo; Yusen Huo; Zhilin Zhang 003; Tianyu Wang; Chuan Yu; Jian Xu 015; Bo Zheng 007; Yan Zhang 117 (KDD, 2024)

Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce. - Zhe Lin; Jiwei Tan; Dan Ou; Xi Chen 095; Shaowei Yao; Bo Zheng 007 (KDD, 2024)

DDK: Distilling Domain Knowledge for Efficient Large Language Models. - Jiaheng Liu; Chenchen Zhang; Jinyang Guo; Yuanxing Zhang; Haoran Que; Ken Deng; Zhiqi Bai; Jie Liu 047; Ge Zhang 009; Jiakai Wang; Yanan Wu; Congnan Liu; et al. (NeurIPS, 2024)

D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models. - Haoran Que; Jiaheng Liu; Ge Zhang 009; Chenchen Zhang; Xingwei Qu; Yinghao Ma; Feiyu Duan; Zhiqi Bai; Jiakai Wang; Yuanxing Zhang; Xu Tan 003; Jie Fu 001; et al. (NeurIPS, 2024)

AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games. - Kefan Su; Yusen Huo; Zhilin Zhang 003; Shuai Dou; Chuan Yu; Jian Xu 015; Zongqing Lu 002; Bo Zheng 007 (NeurIPS, 2024)

Exploring DCN-like architecture for fast image generation with arbitrary resolution. - Shuai Wang; Zexian Li; Tianhui Song; Xubin Li; Tiezheng Ge; Bo Zheng 007; Limin Wang 002 (NeurIPS, 2024)

Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction. - Xiaoqiang Gui; Yueyao Cheng; Xiang-Rong Sheng; Yunfeng Zhao; Guoxian Yu; Shuguang Han; Yuning Jiang 001; Jian Xu 015; Bo Zheng 007 (WSDM, 2024)

Unified Visual Preference Learning for User Intent Understanding. - Yihua Wen; Si Chen 010; Yu Tian; Wanxian Guan; Pengjie Wang 002; Hongbo Deng; Jian Xu 015; Bo Zheng 007; Zihao Li 005; Lixin Zou; Chenliang Li (WSDM, 2024)

Ad vs Organic: Revisiting Incentive Compatible Mechanism Design in E-commerce Platforms. - Ningyuan Li 001; Yunxuan Ma; Yang Zhao 039; Qian Wang 025; Zhilin Zhang 003; Chuan Yu; Jian Xu 015; Bo Zheng 007; Xiaotie Deng (WWW, 2024)

MetaSplit: Meta-Split Network for Limited-Stock Product Recommendation. - Wenhao Wu; Jialiang Zhou; Ailong He; Shuguang Han; Jufeng Chen; Bo Zheng 007 (WWW (Companion Volume), 2024)

MusicAOG: an Energy-Based Model for Learning and Sampling a Hierarchical Representation of Symbolic Music. - Yikai Qian; Tianle Wang 007; Xinyi Tong 001; Xin Jin 015; Duo Xu 004; Bo Zheng 007; Tiezheng Ge; Feng Yu; Song-Chun Zhu (CoRR, 2024)

E^2-LLM: Efficient and Extreme Length Extension of Large Language Models. - Jiaheng Liu; Zhiqi Bai; Yuanxing Zhang; Chenchen Zhang; Yu Zhang 176; Ge Zhang 009; Jiakai Wang; Haoran Que; Yukang Chen; Wenbo Su; Tiezheng Ge; Jie Fu 001; et al. (CoRR, 2024)

Scalable Virtual Valuations Combinatorial Auction Design by Combining Zeroth-Order and First-Order Optimization Method. - Zhijian Duan 001; Haoran Sun; Yichong Xia; Siqiang Wang; Zhilin Zhang 003; Chuan Yu; Jian Xu 015; Bo Zheng 007; Xiaotie Deng (CoRR, 2024)

AtomoVideo: High Fidelity Image-to-Video Generation. - Litong Gong; Yiran Zhu; Weijie Li; Xiaoyang Kang 002; Biao Wang; Tiezheng Ge; Bo Zheng 007 (CoRR, 2024)

Tuning-Free Noise Rectification for High Fidelity Image-to-Video Generation. - Weijie Li; Litong Gong; Yiran Zhu; Fanda Fan; Biao Wang; Tiezheng Ge; Bo Zheng 007 (CoRR, 2024)

Enhancing Prompt Following with Visual Control Through Training-Free Mask-Guided Diffusion. - Hongyu Chen 005; Yiqi Gao; Min Zhou; Peng Wang 028; Xubin Li; Tiezheng Ge; Bo Zheng 007 (CoRR, 2024)

Safety Alignment for Vision Language Models. - Zhendong Liu; Yuanbi Nie; Yingshui Tan; Xiangyu Yue 001; Qiushi Cui; Chongjun Wang; Xiaoyong Zhu; Bo Zheng 007 (CoRR, 2024)

R2C2-Coder: Enhancing and Benchmarking Real-world Repository-level Code Completion Abilities of Code Large Language Models. - Ken Deng; Jiaheng Liu; He Zhu; Congnan Liu; Jingxin Li; Jiakai Wang; Peng Zhao; Chenchen Zhang; Yanan Wu; Xueqiao Yin; Yuanxing Zhang; Wenbo Su; et al. (CoRR, 2024)

Qwen2 Technical Report. - An Yang; Baosong Yang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chang Zhou; Chengpeng Li 001; Chengyuan Li; Dayiheng Liu; Fei Huang 005; Guanting Dong; Haoran Wei; et al. (CoRR, 2024)

Can VLMs Play Action Role-Playing Games? Take Black Myth Wukong as a Study Case. - Peng Chen; Pi Bu; Jun Song; Yuan Gao; Bo Zheng 007 (CoRR, 2024)

MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models. - Pei Wang; Yanan Wu; Zekun Wang; Jiaheng Liu; Xiaoshuai Song; Zhongyuan Peng; Ken Deng; Chenchen Zhang; Jiakai Wang; Junran Peng; Ge Zhang 009; Hangyu Guo; et al. (CoRR, 2024)

M2rc-Eval: Massively Multilingual Repository-level Code Completion Evaluation. - Jiaheng Liu; Ken Deng; Congnan Liu; Jian Yang 030; Shukai Liu; He Zhu; Peng Zhao; Linzheng Chai; Yanan Wu; Ke Jin; Ge Zhang 009; Zekun Wang; et al. (CoRR, 2024)

FlowDCN: Exploring DCN-like Architectures for Fast Image Generation with Arbitrary Resolution. - Shuai Wang; Zexian Li; Tianhui Song; Xubin Li; Tiezheng Ge; Bo Zheng 007; Limin Wang 002 (CoRR, 2024)

Adaptive Dense Reward: Understanding the Gap Between Action and Reward Space in Alignment. - Yanshi Li; Shaopan Xiong; Gengru Chen; Xiaoyang Li; Yijia Luo; Xingyao Zhang; Yanhui Huang; Xingyuan Bu; Yingshui Tan; Chun Yuan; Jiamang Wang; Wenbo Su; et al. (CoRR, 2024)

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models. - Yancheng He; Shilong Li; Jiaheng Liu; Yingshui Tan; Weixun Wang; Hui Huang 021; Xingyuan Bu; Hangyu Guo; Chengwei Hu; Boren Zheng; Zhuoran Lin; Xuepeng Liu; et al. (CoRR, 2024)

Enhancing Vision-Language Model Safety through Progressive Concept-Bottleneck-Driven Alignment. - Zhendong Liu; Yuanbi Nie; Yingshui Tan; Xiangyu Yue 001; Qiushi Cui; Chongjun Wang; Xiaoyong Zhu; Bo Zheng 007 (CoRR, 2024)

FocusLLaVA: A Coarse-to-Fine Approach for Efficient and Effective Visual Token Compression. - Yuke Zhu; Chi Xie; Shuang Liang; Bo Zheng 007; Sheng Guo 005 (CoRR, 2024)

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis. - Chengwei Hu; Jianhui Zheng; Yancheng He; Hangyu Guo; Junguang Jiang; Han Zhu 001; Kai Sun; Yuning Jiang 001; Wenbo Su; Bo Zheng 007 (CoRR, 2024)

Token Preference Optimization with Self-Calibrated Visual-Anchored Rewards for Hallucination Mitigation. - Jihao Gu; Yingyao Wang; Meng Cao; Pi Bu; Jun Song; Yancheng He; Shilong Li; Bo Zheng 007 (CoRR, 2024)

Qwen2.5 Technical Report. - An Yang; Baosong Yang; Beichen Zhang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chengyuan Li; Dayiheng Liu; Fei Huang 005; Haoran Wei; Huan Lin; Jian Yang 003; et al. (CoRR, 2024)

Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models. - Yingshui Tan; Boren Zheng; Baihui Zheng; Kerui Cao; Huiyun Jing; Jincheng Wei; Jiaheng Liu; Yancheng He; Wenbo Su; Xiangyong Zhu; Bo Zheng 007; Kaifu Zhang (CoRR, 2024)

RHanDS: Refining Malformed Hands for Generated Images with Decoupled Structure and Style Guidance. - Chengrui Wang; Pengfei Liu; Min Zhou; Ming Zeng 008; Xubin Li; Tiezheng Ge; Bo Zheng 007 (AAAI, 2025)

LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating. - Chao Deng; Jiale Yuan; Pi Bu; Peijie Wang; Zhong-Zhi Li; Jian Xu 015; Xiao-Hui Li; Yuan Gao; Jun Song; Bo Zheng 007; Cheng-Lin Liu 001 (ACL (1), 2025)

See the World, Discover Knowledge: A Chinese Factuality Evaluation for Large Vision Language Models. - Jihao Gu; Yingyao Wang; Pi Bu; Chen Wang; Ziming Wang; Tengtao Song; Donglai Wei 004; Jiale Yuan; Yingxiu Zhao; Yancheng He; Shilong Li; Jiaheng Liu; et al. (ACL (Findings), 2025)

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models. - Yancheng He; Shilong Li; Jiaheng Liu; Yingshui Tan; Weixun Wang; Hui Huang 021; Xingyuan Bu; Hangyu Guo; Chengwei Hu; Boren Zheng; Zhuoran Lin; Dekai Sun; et al. (ACL (1), 2025)

Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? - Yancheng He; Shilong Li; Jiaheng Liu; Weixun Wang; Xingyuan Bu; Ge Zhang 009; Z. Y. Peng; Zhaoxiang Zhang 001; Zhicheng Zheng; Wenbo Su; Bo Zheng 007 (ACL (1), 2025)

HiddenDetect: Detecting Jailbreak Attacks against Multimodal Large Language Models via Monitoring Hidden States. - Yilei Jiang; Xinyan Gao; Tianshuo Peng; Yingshui Tan; Xiaoyong Zhu; Bo Zheng 007; Xiangyu Yue 001 (ACL (1), 2025)

M2RC-EVAL: Massively Multilingual Repository-level Code Completion Evaluation. - Jiaheng Liu; Ken Deng; Congnan Liu; Jian Yang 030; Shukai Liu; He Zhu; Peng Zhao; Linzheng Chai; Yanan Wu; Ke Jin; Ge Zhang 009; Zekun Moore Wang; et al. (ACL (1), 2025)

Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models. - Zihan Qiu; Zeyu Huang; Bo Zheng 007; Kaiyue Wen; Zekun Wang; Rui Men; Ivan Titov 001; Dayiheng Liu; Jingren Zhou 001; Junyang Lin (ACL (1), 2025)

AIGuard: A Benchmark and Lightweight Detection for E-commerce AIGC Risks. - Wenhua Zhang; Weicheng Li; Xuanrong Rao; Lixin Zou; Xiangyang Luo; Chubin Zhuang; Yongjie Hong; Zhen Qin; Hengyun Chang; Chenliang Li; Bo Zheng 007 (ACL (Findings), 2025)

PosterMaker: Towards High-Quality Product Poster Generation with Accurate Text Rendering. - Yifan Gao; Zihang Lin; Chuanbin Liu 001; Min Zhou; Tiezheng Ge; Bo Zheng 007; Hongtao Xie (CVPR, 2025)

OmniKV: Dynamic Context Selection for Efficient Long-Context LLMs. - Jitai Hao; Yuke Zhu; Tian Wang; Jun Yu; Xin Xin 003; Bo Zheng 007; Zhaochun Ren; Sheng Guo 005 (ICLR, 2025)

Minimal Impact ControlNet: Advancing Multi-ControlNet Integration. - Shikun Sun; Min Zhou; Zixuan Wang; Xubin Li; Tiezheng Ge; Zijie Ye; Xiaoyu Qin; Junliang Xing; Bo Zheng 007; Jia Jia 001 (ICLR, 2025)

MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models. - Pei Wang; Yanan Wu; Noah Wang; Jiaheng Liu; Xiaoshuai Song; Z. Y. Peng; Ken Deng; Chenchen Zhang; Jiakai Wang; Junran Peng; Ge Zhang 009; Hangyu Guo; et al. (ICLR, 2025)

Enhancing Document Understanding with Group Position Embedding: A Novel Approach to Incorporate Layout Information. - Yuke Zhu; Yue Zhang; Dongdong Liu; Chi Xie; Zihua Xiong; Bo Zheng 007; Sheng Guo 005 (ICLR, 2025)

An Adaptable Budget Planner for Enhancing Budget-Constrained Auto-Bidding in Online Advertising. - Zhijian Duan 001; Yusen Huo; Tianyu Wang; Zhilin Zhang 003; Yeshu Li; Chuan Yu; Jian Xu 015; Bo Zheng 007; Xiaotie Deng (KDD (1), 2025)

Contextual Generative Auction with Permutation-level Externalities for Online Advertising. - Ruitao Zhu; Yangsu Liu; Dagui Chen; Zhenjia Ma; Chufeng Shi; Zhenzhe Zheng; Jie Zhang 078; Jian Xu 015; Bo Zheng 007; Fan Wu 006 (KDD (1), 2025)

2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision. - Shilong Li; Yancheng He; Hui Huang 021; Xingyuan Bu; Jiaheng Liu; Hangyu Guo; Weixun Wang; Jihao Gu; Wenbo Su; Bo Zheng 007 (NAACL (Findings), 2025)

A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao. - Yue Meng; Cheng Guo; Yi Cao; Tong Liu; Bo Zheng 007 (SIGIR, 2025)

Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning. - Shijie Zhu; Hui Zhao; Tianshu Wu; Pengjie Wang 002; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (WSDM, 2025)

Learning against Non-credible Second-Price Auctions. - Qian Wang 025; Xuanzhi Xia; Zongjun Yang; Xiaotie Deng; Yuqing Kong; Zhilin Zhang 003; Liang Wang 001; Chuan Yu; Jian Xu 015; Bo Zheng 007 (WWW, 2025)

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach. - Qin Chen; Liang Wang 001; Bo Zheng 007; Guojie Song (WWW, 2025)

DMLoRA: Dynamic Multi-Subspace Low-Rank Adaptation. - Cong Jiang; Fangzhi Zhu; Xiaowei Chen; Junxiong Zhu; Bo Zheng 007; Yifeng Wang 001; Zheng Zhang 006 (WWW (Companion Volume), 2025)

Computational Advertising: Recent Advances. - Junwei Pan; Zhilin Zhang 003; Han Zhu 001; Jian Xu 015; Jie Jiang 015; Bo Zheng 007 (WWW (Companion Volume), 2025)

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning. - Gang Zhao; Ximing Zhang; Chenji Lu; Hui Zhao; Tianshu Wu; Pengjie Wang 002; Jian Xu 015; Bo Zheng 007 (WWW (Companion Volume), 2025)

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings. - Shanghaoran Quan; Jiaxi Yang; Bowen Yu 002; Bo Zheng 007; Dayiheng Liu; An Yang; Xuancheng Ren; Bofei Gao; Yibo Miao; Yunlong Feng; Zekun Wang; Jian Yang 003; et al. (CoRR, 2025)

ProgCo: Program Helps Self-Correction of Large Language Models. - Xiaoshuai Song; Yanan Wu; Weixun Wang; Jiaheng Liu; Wenbo Su; Bo Zheng 007 (CoRR, 2025)

PAID: A Framework of Product-Centric Advertising Image Design. - Hongyu Chen 005; Min Zhou; Jing Jiang; Jiale Chen; Yang Lu; Bo Xiao; Tiezheng Ge; Bo Zheng 007 (CoRR, 2025)

MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling. - Bencheng Yan; Si Chen 010; Shichang Jia; Jianyu Liu; Yueran Liu; Chenghan Fu; Wanxian Guan; Hui Zhao; Xiang Zhang 001; Kai Zhang 001; Wenbo Su; Pengjie Wang 002; et al. (CoRR, 2025)

Large Language Models Are Universal Recommendation Learners. - Junguang Jiang; Yanwen Huang; Bin Liu; Xiaoyu Kong; Ziru Xu; Han Zhu 001; Jian Xu 015; Bo Zheng 007 (CoRR, 2025)

Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model. - Bencheng Yan; Shilei Liu; Zhiyuan Zeng; Zihao Wang; Yizhen Zhang; Yujin Yuan; Langming Liu; Jiaqi Liu; Di Wang; Wenbo Su; Pengjie Wang 002; Jian Xu 015; et al. (CoRR, 2025)

Equilibrate RLHF: Towards Balancing Helpfulness-Safety Trade-off in Large Language Models. - Yingshui Tan; Yilei Jiang; Yanshi Li; Jiaheng Liu; Xingyuan Bu; Wenbo Su; Xiangyu Yue 001; Xiaoyong Zhu; Bo Zheng 007 (CoRR, 2025)

ChineseSimpleVQA - "See the World, Discover Knowledge": A Chinese Factuality Evaluation for Large Vision Language Models. - Jihao Gu; Yingyao Wang; Pi Bu; Chen Wang; Ziming Wang; Tengtao Song; Donglai Wei 004; Jiale Yuan; Yingxiu Zhao; Yancheng He; Shilong Li; Jiaheng Liu; et al. (CoRR, 2025)

HiddenDetect: Detecting Jailbreak Attacks against Large Vision-Language Models via Monitoring Hidden States. - Yilei Jiang; Xinyan Gao; Tianshuo Peng; Yingshui Tan; Xiaoyong Zhu; Bo Zheng 007; Xiangyu Yue 001 (CoRR, 2025)

AIR: Complex Instruction Generation via Automatic Iterative Refinement. - Wei Liu; Yancheng He; Hui Huang 021; Chengwei Hu; Jiaheng Liu; Shilong Li; Wenbo Su; Bo Zheng 007 (CoRR, 2025)

UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering. - Langming Liu; Shilei Liu; Yujin Yuan; Yizhen Zhang; Bencheng Yan; Zhiyuan Zeng; Zihao Wang; Jiaqi Liu; Di Wang; Wenbo Su; Pengjie Wang 002; Jian Xu 015; et al. (CoRR, 2025)

Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? - Yancheng He; Shilong Li; Jiaheng Liu; Weixun Wang; Xingyuan Bu; Ge Zhang 009; Zhongyuan Peng; Zhaoxiang Zhang 001; Zhicheng Zheng; Wenbo Su; Bo Zheng 007 (CoRR, 2025)

ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models. - Haibin Chen; Kangtao Lv; Chengwei Hu; Yanshi Li; Yujin Yuan; Yancheng He; Xingyao Zhang; Langming Liu; Shilei Liu; Wenbo Su; Bo Zheng 007 (CoRR, 2025)

CombatVLA: An Efficient Vision-Language-Action Model for Combat Tasks in 3D Action Role-Playing Games. - Peng Chen; Pi Bu; Yingyao Wang; Xinyi Wang; Ziming Wang; Jie Guo; Yingxiu Zhao; Qi Zhu; Jun Song; Siran Yang; Jiamang Wang; Bo Zheng 007 (CoRR, 2025)

Nash Equilibrium Constrained Auto-bidding With Bi-level Reinforcement Learning. - Zhiyu Mou; Miao Xu; Rongquan Bai; Zhuoran Yang; Chuan Yu; Jian Xu 015; Bo Zheng 007 (CoRR, 2025)

ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph. - Langming Liu; Haibin Chen; Yuhao Wang; Yujin Yuan; Shilei Liu; Wenbo Su; Zhao-Xiang Zhang 001; Bo Zheng 007 (CoRR, 2025)

Deconstructing Long Chain-of-Thought: A Structured Reasoning Optimization Framework for Long CoT Distillation. - Yijia Luo; Yulin Song; Xingyao Zhang; Jiaheng Liu; Weixun Wang; Gengru Chen; Wenbo Su; Bo Zheng 007 (CoRR, 2025)

A Comprehensive Survey on Long Context Language Modeling. - Jiaheng Liu; Dawei Zhu; Zhiqi Bai; Yancheng He; Huanxuan Liao; Haoran Que; Zekun Wang; Chenchen Zhang; Ge Zhang 009; Jiebin Zhang; Yuanxing Zhang; Zhuo Chen; et al. (CoRR, 2025)

VALUE: Value-Aware Large Language Model for Query Rewriting via Weighted Trie in Sponsored Search. - Boyang Zuo; Xiao Zhang; Feng Li; Pengjie Wang 002; Jian Xu 015; Bo Zheng 007 (CoRR, 2025)

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging. - Tianhui Song; Weixin Feng; Shuai Wang; Xubin Li; Tiezheng Ge; Bo Zheng 007; Limin Wang 002 (CoRR, 2025)

Video Echoed in Harmony: Learning and Sampling Video-Integrated Chord Progression Sequences for Controllable Video Background Music Generation. - Xinyi Tong 001; Sitong Chen; Peiyang Yu; Nian Liu; Hui Qv; Tao Ma 008; Bo Zheng 007; Feng Yu; Song-Chun Zhu (IEEE Trans. Comput. Soc. Syst., 2025)

Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free. - Zihan Qiu; Zekun Wang; Bo Zheng 007; Zeyu Huang; Kaiyue Wen; Songlin Yang; Rui Men; Le Yu; Fei Huang; Suozhi Huang; Dayiheng Liu; Jingren Zhou 001; et al. (CoRR, 2025)

Qwen3 Technical Report. - An Yang; Anfeng Li; Baosong Yang; Beichen Zhang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chang Gao; Chengen Huang; Chenxu Lv; Chujie Zheng; Dayiheng Liu; et al. (CoRR, 2025)

TranSUN: A Preemptive Paradigm to Eradicate Retransformation Bias Intrinsically from Regression Models in Recommender Systems. - Jiahao Yu; Haozhuang Liu; Yeqiu Yang; Lu Chen; Wu Jian; Yuning Jiang 001; Bo Zheng 007 (CoRR, 2025)

Think-J: Learning to Think for Generative LLM-as-a-Judge. - Hui Huang 021; Yancheng He; Hongli Zhou 001; Rui Zhang; Wei Liu; Weixun Wang; Wenbo Su; Bo Zheng 007; Jiaheng Liu (CoRR, 2025)

NAN: A Training-Free Solution to Coefficient Estimation in Model Merging. - Chongjie Si; Kangtao Lv; Jingjing Jiang; Yadao Wang; Yongwei Wang; Xiaokang Yang 001; Wenbo Su; Bo Zheng 007; Wei Shen 002 (CoRR, 2025)

Beyond Safe Answers: A Benchmark for Evaluating True Risk Awareness in Large Reasoning Models. - Baihui Zheng; Boren Zheng; Kerui Cao; Yingshui Tan; Zhendong Liu; Weixun Wang; Jiaheng Liu; Jian Yang; Wenbo Su; Xiaoyong Zhu; Bo Zheng 007; Kaifu Zhang (CoRR, 2025)

Differentiable Solver Search for Fast Diffusion Sampling. - Shuai Wang; Zexian Li; Qipeng zhang; Tianhui Song; Xubin Li; Tiezheng Ge; Bo Zheng 007; Limin Wang 002 (CoRR, 2025)

Weight Spectra Induced Efficient Model Adaptation. - Chongjie Si; Xuankun Yang; Muqing Liu; Yadao Wang; Xiaokang Yang 001; Wenbo Su; Bo Zheng 007; Wei Shen 002 (CoRR, 2025)

USB: A Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models. - Baolin Zheng; Guanlin Chen; Hongqiong Zhong; Qingyang Teng; Yingshui Tan; Zhendong Liu; Weixun Wang; Jiaheng Liu; Jian Yang 003; Huiyun Jing; Jincheng Wei; Wenbo Su; et al. (CoRR, 2025)

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library. - Weixun Wang; Shaopan Xiong; Gengru Chen; Wei Gao; Sheng Guo 005; Yancheng He; Ju Huang; Jiaheng Liu; Zhendong Li; Xiaoyang Li; Zichen Liu; Haizhou Zhao; et al. (CoRR, 2025)

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks. - Yejing Wang; Shengyu Zhou; Jinyu Lu; Qidong Liu 002; Xinhang Li 001; Wenlin Zhang; Feng Li; Pengjie Wang 002; Jian Xu 015; Bo Zheng 007; Xiangyu Zhao 001 (CoRR, 2025)

MSR-Align: Policy-Grounded Multimodal Alignment for Safety-Aware Reasoning in Vision-Language Models. - Yinan Xia; Yilei Jiang; Yingshui Tan; Xiaoyong Zhu; Xiangyu Yue 001; Bo Zheng 007 (CoRR, 2025)

Mobile-R1: Towards Interactive Reinforcement Learning for VLM-Based Mobile Agent via Task-Level Rewards. - Jihao Gu; Qihang Ai; Yingyao Wang; Pi Bu; Jingxuan Xing; Zekun Zhu; Wei Jiang; Ziming Wang; Yingxiu Zhao; Ming-Liang Zhang; Jun Song; Yuning Jiang 001; et al. (CoRR, 2025)

Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems. - Langming Liu; Wanyu Wang; Chi Zhang 060; Bo Li 026; Hongzhi Yin; Xuetao Wei; Wenbo Su; Bo Zheng 007; Zhao-Xiang Zhang 001 (CoRR, 2025)

Beyond Advertising: Mechanism Design for Platform-Wide Marketing Service "QuanZhanTui". - Ningyuan Li 001; Zhilin Zhang 003; Tianyan Long; Yuyao Liu; Rongquan Bai; Yurong Chen 002; Xiaotie Deng; Pengjie Wang 002; Chuan Yu; Jian Xu 015; Bo Zheng 007 (CoRR, 2025)

CTR-Driven Ad Text Generation via Online Feedback Preference Optimization. - Yanda Chen; Zihui Ren; Qixiang Gao; Jiale Chen; Si Chen 010; Xubin Li; Tiezheng Ge; Bo Zheng 007 (CoRR, 2025)

RecGPT Technical Report. - Chao Yi; Dian Chen; Gaoyang Guo; Jiakai Tang; Jian Wu; Jing Yu; Mao Zhang; Sunhao Dai; Wen Chen; Wenjun Yang; Yuning Jiang 001; Zhujin Gao; et al. (CoRR, 2025)

Bidding-Aware Retrieval for Multi-Stage Consistency in Online Advertising. - Bin Liu; Yunfei Liu; Ziru Xu; Zhaoyu Zhou; Zhi Kou; Yeqiu Yang; Zhu Han 001; Jian Xu 015; Bo Zheng 007 (CoRR, 2025)

Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning. - Zihe Liu; Jiashun Liu; Yancheng He; Weixun Wang; Jiaheng Liu; Ling Pan; Xinyu Hu; Shaopan Xiong; Ju Huang; Jian Hu; Shengyi Huang; Siran Yang; et al. (CoRR, 2025)

MOON: Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understanding. - Daoze Zhang; Zhanheng Nie; Jianyu Liu; Chenghan Fu; Wanxian Guan; Yuan Gao; Jun Song; Pengjie Wang 002; Jian Xu 015; Bo Zheng 007 (CoRR, 2025)

Creative4U: MLLMs-based Advertising Creative Image Selector with Comparative Reasoning. - Yukang Lin; Xiang Zhang 001; Shichang Jia; Bowen Wan; Chenghan Fu; Xudong Ren; Yueran Liu; Wanxian Guan; Pengjie Wang 002; Jian Xu 015; Bo Zheng 007; Baolin Liu 001 (CoRR, 2025)

DESIGNER: Design-Logic-Guided Multidisciplinary Data Synthesis for LLM Reasoning. - Weize Liu; Yongchi Zhao; Yijia Luo; Mingyu Xu; Jiaheng Liu; Yanan Li; Xiguo Hu; Yuchi Xu; Wenbo Su; Bo Zheng 007 (CoRR, 2025)

MIRAGE: Towards AI-Generated Image Detection in the Wild. - Cheng Xia; Manxi Lin; Jiexiang Tan; Xiaoxiong Du; Yang Qiu; Junjun Zheng; Xiangheng Kong; Yuning Jiang 001; Bo Zheng 007 (CoRR, 2025)

See Beyond a Single View: Multi-Attribution Learning Leads to Better Conversion Rate Prediction. - Sishuo Chen; Zhangming Chan; Xiang-Rong Sheng; Lei Zhang; Sheng Chen; Chenghuan Hou; Han Zhu 001; Jian Xu 015; Bo Zheng 007 (CoRR, 2025)