PPaperPicks

Jun Zhou

Ant Financial Services Group, AI Department (Beijing), China

87 papers at tracked venues · 65 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0001-6033-6102 ↗Google Scholar ↗Homepage ↗

Venues

WWW ×15ACL ×10AAAI ×8EMNLP ×7ICML ×6NeurIPS ×6CIKM ×5WSDM ×5ICLR ×4SIGIR ×4SIGKDD ×4VLDB ×3ECML-PKDD ×2ICDE ×2ACM MM ×1CVPR ×1EACL ×1ICCV ×1ICDM ×1RecSys ×1

Frequent coauthors

Zhiqiang Zhang
×29
Xiaolu Zhang
×21
Longfei Li
×15
Lei Liang
×9
Zhaoxin Huan
×9
Binbin Hu
×9
Ziqi Liu
×9
Qing Cui
×8
Mengshu Sun
×7
Xingyu Lu
×7
Jinjie Gu
×7
Lintao Ma
×6

Papers

  1. From Entity Reliability to Clean Feedback: An Entity-Aware Denoising Framework Beyond Interaction-Level Signals
    WWW 2026 ·
    Ze Liu
    ,
    Xianquan Wang
    ,
    Shuochen Liu
    ,
    Jie Ma
    ,
    Huibo Xu
    ,
    Yupeng Han
    ,
    Kai Zhang
    , Jun Zhou
  2. LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models
    ACL 2026 ·
    Fengqi Zhu
    ,
    Rongzhen Wang
    ,
    Shen Nie
    ,
    Xiaolu Zhang
    ,
    Chunwei Wu
    , Jun Zhou,
    Yankai Lin
    ,
    Ji-Rong Wen
    ,
    Chongxuan Li
  3. Learning to Translate by Translating: Stabilizing the Dual Loop via Semantic-Aware Self-Evolution
    ACL 2026 ·
    Kui Liu
    ,
    Mingming Yin
    ,
    Zuoli Tang
    ,
    Zihao Li
    ,
    Chilin Fu
    ,
    Xiaolu Zhang
    , Jun Zhou,
    Lixin Zou
    ,
    Chenliang Li
  4. LookAhead Tuning: Safer Language Models via Partial Answer Previews
    WSDM 2026 ·
    Kangwei Liu
    ,
    Mengru Wang
    ,
    Yujie Luo
    ,
    Lin Yuan
    ,
    Mengshu Sun
    ,
    Lei Liang
    ,
    Zhiqiang Zhang
    , Jun Zhou,
    Bryan Hooi
    ,
    Shumin Deng
  5. RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library
    EACL 2026 ·
    Jiapeng Wang
    ,
    Jinhao Jiang
    ,
    Zhiqiang Zhang
    , Jun Zhou,
    Xin Zhao
  6. ReportLogic: Evaluating Logical Quality in Deep Research Reports
    ACL 2026 ·
    Jujia Zhao
    ,
    Zhaoxin Huan
    ,
    Zihan Wang
    ,
    Xiaolu Zhang
    , Jun Zhou,
    Suzan Verberne
    ,
    Zhaochun Ren
  7. Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards
    ACL 2026 ·
    Xinyu Tang
    ,
    Yuliang Zhan
    ,
    Zhixun Li
    ,
    Xin Zhao
    ,
    Zhenduo Zhang
    ,
    Zujie Wen
    ,
    Zhiqiang Zhang
    , Jun Zhou
  8. SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs
    ACL 2026 ·
    Jie Sun
    ,
    Yu Liu
    ,
    Lu Han
    ,
    Qiwen Deng
    ,
    Xiang Shu
    ,
    Yang Xiao
    ,
    Lintao Ma
    ,
    Xingyu Lu
    , Jun Zhou,
    Pengfei Liu
    ,
    Jiancan Wu
    ,
    Xiang Wang
  9. Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems
    WWW 2026 ·
    Jiaming Zhang
    ,
    Yuyuan Li
    ,
    Xiaohua Feng
    ,
    Li Zhang
    ,
    Longfei Li
    , Jun Zhou,
    Chaochao Chen
  10. Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction
    AAAI 2026 ·
    Jun Xu
    ,
    Xinkai Du
    ,
    Yu Ao
    ,
    Peilong Zhao
    ,
    Yang Li
    ,
    Ling Zhong
    ,
    Lin Yuan
    ,
    Zhongpu Bo
    ,
    Xiaorui Wang
    ,
    Mengshu Sun
    ,
    Zhengke Gui
    ,
    Dalong Zhang
    ,
    ZhaoYang Wang
    ,
    Qiwei Wang
    ,
    Yangyang Hou
    ,
    ZhiYing Yi
    ,
    Haofen Wang
    ,
    Huajun Chen
    ,
    Lei Liang
    , Jun Zhou
  11. Token-level Collaborative Alignment for LLM-based Generative Recommendation
    WWW 2026 ·
    Fake Lin
    ,
    Binbin Hu
    ,
    Zhi Zheng
    ,
    Xi Zhu
    ,
    Ziqi Liu
    ,
    Zhiqiang Zhang
    , Jun Zhou,
    Tong Xu
  12. UniGeM: Unifying Data Selection and Mixing via Geometric Exploration and Mining
    ACL 2026 ·
    Changhao Wang
    ,
    Yunfei Yu
    ,
    Xinhao Yao
    ,
    Jiaolong Yang
    ,
    Lu Yu
    ,
    Junpeng Fang
    ,
    Riccardo Cantoro
    ,
    Chaobo Li
    ,
    Qing Cui
    , Jun Zhou
  13. ARGenSeg: Image Segmentation with Autoregressive Image Generation Model
    NeurIPS 2025 ·
    Xiaolong Wang
    ,
    Lixiang Ru
    ,
    Ziyuan Huang
    ,
    Kaixiang Ji
    ,
    Dandan Zheng
    ,
    Jingdong Chen
    , Jun Zhou
  14. AntAkso: Claims Management System for Health Insurance in Alipay
    SIGKDD 2025 ·
    Qitao Shi
    , Jun Zhou,
    Ya-Lin Zhang
    ,
    Longfei Li
    ,
    Chaoyi Ma
    ,
    Yifan Wu
    ,
    Xiaobo Qin
  15. Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness
    CIKM 2025 ·
    Sirui Chen
    ,
    Changxin Tian
    ,
    Binbin Hu
    ,
    Kunlong Chen
    ,
    Ziqi Liu
    ,
    Zhiqiang Zhang
    , Jun Zhou
  16. BOSE: A Systematic Evaluation Method Optimized for Base Models
    ACL 2025 ·
    Hongzhi Luan
    ,
    Changxin Tian
    ,
    Zhaoxin Huan
    ,
    Xiaolu Zhang
    ,
    Kunlong Chen
    ,
    Zhiqiang Zhang
    , Jun Zhou
  17. Controllable Unlearning for Image-to-Image Generative Models via ϵ-Constrained Optimization
    ICLR 2025 ·
    Xiaohua Feng
    ,
    Yuyuan Li
    ,
    Chaochao Chen
    ,
    Li Zhang
    ,
    Longfei Li
    , Jun Zhou,
    Xiaolin Zheng
  18. Effective and Efficient Masked Image Generation Models
    ICML 2025 ·
    Zebin You
    ,
    Jingyang Ou
    ,
    Xiaolu Zhang
    ,
    Jun Hu
    , Jun Zhou,
    Chongxuan Li
  19. Effectively PAIRing LLMs with Online Marketing via Progressive Prompting Augmentation
    ICDE 2025 ·
    Chunjing Gan
    ,
    Dan Yang
    ,
    Binbin Hu
    ,
    Ziqi Liu
    ,
    Yue Shen
    ,
    Zhiqiang Zhang
    ,
    Jinjie Gu
    , Jun Zhou,
    Guannan Zhang
  20. Explore What LLM Does Not Know in Complex Question Answering
    AAAI 2025 ·
    Xin Lin
    ,
    Zhenya Huang
    ,
    Zhiqiang Zhang
    , Jun Zhou,
    Enhong Chen
  21. Fine-Grained Zero-Shot Composed Image Retrieval with Complementary Visual-Semantic Integration
    ICDM 2025 ·
    Yongcong Ye
    ,
    Kai Zhang
    ,
    Yanghai Zhang
    ,
    Enhong Chen
    ,
    Longfei Li
    , Jun Zhou
  22. Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data
    WSDM 2025 ·
    Binbin Hu
    ,
    Zhicheng An
    ,
    Zhengwei Wu
    ,
    Ke Tu
    ,
    Ziqi Liu
    ,
    Zhiqiang Zhang
    , Jun Zhou,
    Yufei Feng
    ,
    Jiawei Chen
  23. IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification
    WWW 2025 ·
    Zhixun Li
    ,
    Dingshuo Chen
    ,
    Tong Zhao
    ,
    Daixin Wang
    ,
    Hongrui Liu
    ,
    Zhiqiang Zhang
    , Jun Zhou,
    Jeffrey Xu Yu
  24. KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation
    WWW 2025 ·
    Lei Liang
    ,
    Zhongpu Bo
    ,
    Zhengke Gui
    ,
    Zhongshu Zhu
    ,
    Ling Zhong
    ,
    Peilong Zhao
    ,
    Mengshu Sun
    ,
    Zhiqiang Zhang
    , Jun Zhou,
    Wenguang Chen
    ,
    Wen Zhang
    ,
    Huajun Chen
  25. LSSF: Safety Alignment for Large Language Models through Low-Rank Safety Subspace Fusion
    ACL 2025 ·
    Guanghao Zhou
    ,
    Panjia Qiu
    ,
    Cen Chen
    ,
    Hongyu Li
    ,
    Jason Chu
    ,
    Xin Zhang
    , Jun Zhou
  26. LaMP-Val: Large Language Models Empower Personalized Valuation in Auction
    EMNLP 2025 ·
    Jie Sun
    ,
    Tianyu Zhang
    ,
    Houcheng Jiang
    ,
    Kexin Huang
    ,
    Xiang Shu
    ,
    Zhibo Zhu
    ,
    Lintao Ma
    ,
    Xingyu Lu
    , Jun Zhou,
    Junkang Wu
    ,
    Chi Luo
    ,
    An Zhang
    ,
    Jiancan Wu
    ,
    Xiang Wang
  27. Large Language Diffusion Models
    NeurIPS 2025 ·
    Shen Nie
    ,
    Fengqi Zhu
    ,
    Zebin You
    ,
    Xiaolu Zhang
    ,
    Jingyang Ou
    ,
    Jun Hu
    , Jun Zhou,
    Yankai Lin
    ,
    Ji-Rong Wen
    ,
    Chongxuan Li
  28. Learning Causal Transition Matrix for Instance-dependent Label Noise
    AAAI 2025 ·
    Jiahui Li
    ,
    Tai-Wei Chang
    ,
    Kun Kuang
    ,
    Ximing Li
    ,
    Long Chen
    , Jun Zhou
  29. MAQInstruct: Instruction-based Unified Event Relation Extraction
    WWW 2025 ·
    Jun Xu
    ,
    Mengshu Sun
    ,
    Zhiqiang Zhang
    , Jun Zhou
  30. MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models
    ICML 2025 ·
    Jiazheng Li
    ,
    Lu Yu
    ,
    Qing Cui
    ,
    Zhiqiang Zhang
    , Jun Zhou,
    Yanfang Ye
    ,
    Chuxu Zhang
  31. Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging
    NeurIPS 2025 ·
    Jinluan Yang
    ,
    Dingnan Jin
    ,
    Anke Tang
    ,
    Li Shen
    ,
    Didi Zhu
    ,
    Zhengyu Chen
    ,
    Ziyu Zhao
    ,
    Daixin Wang
    ,
    Qing Cui
    ,
    Zhiqiang Zhang
    , Jun Zhou,
    Fei Wu
    ,
    Kun Kuang
  32. NATRA: Noise-Agnostic Framework for Trajectory Prediction with Noisy Observations
    ICCV 2025 ·
    Rongqing Li
    ,
    Changsheng Li
    ,
    Ruilin Lv
    ,
    Yuhang Li
    ,
    Yang Gao
    ,
    Xiaolu Zhang
    , Jun Zhou
  33. OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System
    WWW 2025 ·
    Yujie Luo
    ,
    Xiangyuan Ru
    ,
    Kangwei Liu
    ,
    Lin Yuan
    ,
    Mengshu Sun
    ,
    Ningyu Zhang
    ,
    Lei Liang
    ,
    Zhiqiang Zhang
    , Jun Zhou,
    Lanning Wei
    ,
    Da Zheng
    ,
    Haofen Wang
    ,
    Huajun Chen
  34. RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution
    EMNLP 2025 ·
    Jiahui Li
    ,
    Lin Li
    ,
    Tai-Wei Chang
    ,
    Kun Kuang
    ,
    Long Chen
    , Jun Zhou,
    Cheng Yang
  35. Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models
    ACL 2025 ·
    Liyang He
    ,
    Chenglong Liu
    ,
    Rui Li
    ,
    Zhenya Huang
    ,
    Shulan Ruan
    , Jun Zhou,
    Enhong Chen
  36. Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation
    ICML 2025 ·
    Minqin Zhu
    ,
    Zexu Sun
    ,
    Ruoxuan Xiong
    ,
    Anpeng Wu
    ,
    Baohong Li
    ,
    Caizhi Tang
    , Jun Zhou,
    Fei Wu
    ,
    Kun Kuang
  37. Robust Preference Optimization via Dynamic Target Margins
    ACL 2025 ·
    Jie Sun
    ,
    Junkang Wu
    ,
    Jiancan Wu
    ,
    Zhibo Zhu
    ,
    Xingyu Lu
    , Jun Zhou,
    Lintao Ma
    ,
    Xiang Wang
  38. Stable Representation Learning on Graphs from Multiple Environments with Structure Distribution Shift
    SIGKDD 2025 ·
    Tong Zhao
    ,
    Daixin Wang
    ,
    Zhiqiang Zhang
    ,
    Yulin Kang
    , Jun Zhou
  39. SurvFormer: A Transformer Based Framework for Survival Analysis in Insurance Underwriting
    WWW 2025 ·
    Yingxue Li
    ,
    Xiaolu Zhang
    ,
    Jun Hu
    ,
    Wenwen Xia
    ,
    Ziyi Liu
    ,
    Xiaobo Qin
    ,
    Binjie Fei
    , Jun Zhou
  40. Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary
    EMNLP 2025 ·
    Licheng Pan
    ,
    Yongqi Tong
    ,
    Xin Zhang
    ,
    Xiaolu Zhang
    , Jun Zhou,
    Zhixuan Chu
  41. Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning
    ICLR 2025 ·
    Gangwei Jiang
    ,
    Caigao Jiang
    ,
    Zhaoyi Li
    ,
    Siqiao Xue
    , Jun Zhou,
    Linqi Song
    ,
    Defu Lian
    ,
    Ying Wei
  42. A Merge Sort Based Ranking System for the Evaluation of Large Language Models
    ECML-PKDD 2024 ·
    Chenchen Li
    ,
    Linfeng Shi
    ,
    Chunyi Zhou
    ,
    Zhaoxin Huan
    ,
    Chengfu Tang
    ,
    Xiaolu Zhang
    ,
    Xudong Wang
    , Jun Zhou,
    Song Liu
  43. Adaptively Denoising Graph Neural Networks for Knowledge Distillation
    ECML-PKDD 2024 ·
    Yuxin Guo
    ,
    Cheng Yang
    ,
    Chuan Shi
    ,
    Ke Tu
    ,
    Zhengwei Wu
    ,
    Zhiqiang Zhang
    , Jun Zhou
  44. Aligned Side Information Fusion Method for Sequential Recommendation
    WWW 2024 ·
    Shuhan Wang
    ,
    Bin Shen
    ,
    Xu Min
    ,
    Yong He
    ,
    Xiaolu Zhang
    ,
    Liang Zhang
    , Jun Zhou,
    Linjian Mo
  45. An Active Masked Attention Framework for Many-to-Many Cross-Domain Recommendations
    ACM MM 2024 ·
    Feng Zhu
    ,
    Xinxing Yang
    ,
    Longfei Li
    , Jun Zhou
  46. AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes
    ICDE 2024 ·
    Youshao Xiao
    ,
    Lin Ju
    ,
    Zhenglei Zhou
    ,
    Siyuan Li
    ,
    Zhaoxin Huan
    ,
    Dalong Zhang
    ,
    Rujie Jiang
    ,
    Lin Wang
    ,
    Xiaolu Zhang
    ,
    Lei Liang
    , Jun Zhou
  47. Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations
    AAAI 2024 ·
    Junpeng Fang
    ,
    Gongduo Zhang
    ,
    Qing Cui
    ,
    Caizhi Tang
    ,
    Lihong Gu
    ,
    Longfei Li
    ,
    Jinjie Gu
    , Jun Zhou
  48. Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors
    SIGIR 2024 ·
    Binzong Geng
    ,
    Zhaoxin Huan
    ,
    Xiaolu Zhang
    ,
    Yong He
    ,
    Liang Zhang
    ,
    Fajie Yuan
    , Jun Zhou,
    Linjian Mo
  49. Calibrating Graph Neural Networks from a Data-centric Perspective
    WWW 2024 ·
    Cheng Yang
    ,
    Chengdong Yang
    ,
    Chuan Shi
    ,
    Yawen Li
    ,
    Zhiqiang Zhang
    , Jun Zhou
  50. Can Small Language Models be Good Reasoners for Sequential Recommendation?
    WWW 2024 ·
    Yuling Wang
    ,
    Changxin Tian
    ,
    Binbin Hu
    ,
    Yanhua Yu
    ,
    Ziqi Liu
    ,
    Zhiqiang Zhang
    , Jun Zhou,
    Liang Pang
    ,
    Xiao Wang
  51. Collaborative Refining for Learning from Inaccurate Labels
    NeurIPS 2024 ·
    Bin Han
    ,
    Yi-Xuan Sun
    ,
    Ya-Lin Zhang
    ,
    Libang Zhang
    ,
    Haoran Hu
    ,
    Longfei Li
    , Jun Zhou,
    Guo Ye
    ,
    Huimei He
  52. Cost-Efficient Fraud Risk Optimization with Submodularity in Insurance Claim
    SIGKDD 2024 ·
    Yupeng Wu
    ,
    Zhibo Zhu
    ,
    Chaoyi Ma
    ,
    Hong Qian
    ,
    Xingyu Lu
    ,
    Yangwenhui Zhang
    ,
    Xiaobo Qin
    ,
    Binjie Fei
    , Jun Zhou,
    Aimin Zhou
  53. Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge
    WWW 2024 ·
    Junpeng Fang
    ,
    Gongduo Zhang
    ,
    Qing Cui
    ,
    Lihong Gu
    ,
    Longfei Li
    ,
    Jinjie Gu
    , Jun Zhou
  54. Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding
    WSDM 2024 ·
    Ya-Lin Zhang
    ,
    Caizhi Tang
    ,
    Lu Yu
    , Jun Zhou,
    Longfei Li
    ,
    Qing Cui
    ,
    Fangfang Fan
    ,
    Linbo Jiang
    ,
    Xiaosong Zhao
  55. EasyTPP: Towards Open Benchmarking Temporal Point Processes
    ICLR 2024 ·
    Siqiao Xue
    ,
    Xiaoming Shi
    ,
    Zhixuan Chu
    ,
    Yan Wang
    ,
    Hongyan Hao
    ,
    Fan Zhou
    ,
    Caigao Jiang
    ,
    Chen Pan
    ,
    James Y. Zhang
    ,
    Qingsong Wen
    , Jun Zhou,
    Hongyuan Mei
  56. Efficient Model Stealing Defense with Noise Transition Matrix
    CVPR 2024 ·
    Dong-Dong Wu
    ,
    Chilin Fu
    ,
    Weichang Wu
    ,
    Wenwen Xia
    ,
    Xiaolu Zhang
    , Jun Zhou,
    Min-Ling Zhang
  57. Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning
    WWW 2024 ·
    Jun Hu
    ,
    Wenwen Xia
    ,
    Xiaolu Zhang
    ,
    Chilin Fu
    ,
    Weichang Wu
    ,
    Zhaoxin Huan
    ,
    Ang Li
    ,
    Zuoli Tang
    , Jun Zhou
  58. Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models
    SIGIR 2024 ·
    Yankun Ren
    ,
    Zhongde Chen
    ,
    Xinxing Yang
    ,
    Longfei Li
    ,
    Cong Jiang
    ,
    Lei Cheng
    ,
    Bo Zhang
    ,
    Linjian Mo
    , Jun Zhou
  59. Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset
    SIGIR 2024 ·
    Zhaoxin Huan
    ,
    Ke Ding
    ,
    Ang Li
    ,
    Xiaolu Zhang
    ,
    Xu Min
    ,
    Yong He
    ,
    Liang Zhang
    , Jun Zhou,
    Linjian Mo
    ,
    Jinjie Gu
    ,
    Zhongyi Liu
    ,
    Wenliang Zhong
    ,
    Guannan Zhang
    ,
    Chenliang Li
    ,
    Fajie Yuan
  60. Factor Model-Based Large Covariance Estimation from Streaming Data Using a Knowledge-Based Sketch Matrix
    CIKM 2024 ·
    Xiao Tan
    ,
    Zhaoyang Wang
    ,
    Hao Qian
    , Jun Zhou,
    Peibo Duan
    ,
    Dian Shen
    ,
    Meng Wang
    ,
    Beilun Wang
  61. GATS: Generative Audience Targeting System for Online Advertising
    SIGIR 2024 ·
    Cong Jiang
    ,
    Zhongde Chen
    ,
    Bo Zhang
    ,
    Yankun Ren
    ,
    Xin Dong
    ,
    Lei Cheng
    ,
    Xinxing Yang
    ,
    Longfei Li
    , Jun Zhou,
    Linjian Mo
  62. GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
    AAAI 2024 ·
    Fan Zhou
    ,
    Chen Pan
    ,
    Lintao Ma
    ,
    Yu Liu
    ,
    Siqiao Xue
    ,
    James Y. Zhang
    , Jun Zhou,
    Hongyuan Mei
    ,
    Weitao Lin
    ,
    Zi Zhuang
    ,
    Wenxin Ning
    ,
    Yunhua Hu
  63. Invariant Graph Learning for Causal Effect Estimation
    WWW 2024 ·
    Yongduo Sui
    ,
    Caizhi Tang
    ,
    Zhixuan Chu
    ,
    Junfeng Fang
    ,
    Yuan Gao
    ,
    Qing Cui
    ,
    Longfei Li
    , Jun Zhou,
    Xiang Wang
  64. KGFabric: A Scalable Knowledge Graph Warehouse for Enterprise Data Interconnection
    VLDB 2024 ·
    Peng Yi
    ,
    Lei Liang
    ,
    Da Zhang
    ,
    Yong Chen
    ,
    Jinye Zhu
    ,
    Xiangyu Liu
    ,
    Kun Tang
    ,
    Jialin Chen
    ,
    Hao Lin
    ,
    Leijie Qiu
    , Jun Zhou
  65. Keypoint-based Progressive Chain-of-Thought Distillation for LLMs
    ICML 2024 ·
    Kaituo Feng
    ,
    Changsheng Li
    ,
    Xiaolu Zhang
    , Jun Zhou,
    Ye Yuan
    ,
    Guoren Wang
  66. Knowledge-augmented Financial Market Analysis and Report Generation
    EMNLP 2024 ·
    Yuemin Chen
    ,
    Feifan Wu
    ,
    Jingwei Wang
    ,
    Hao Qian
    ,
    Ziqi Liu
    ,
    Zhiqiang Zhang
    , Jun Zhou,
    Meng Wang
  67. LASCA: A Large-Scale Stable Customer Segmentation Approach to Credit Risk Assessment
    SIGKDD 2024 ·
    Yongfeng Gu
    ,
    Yupeng Wu
    ,
    Huakang Lu
    ,
    Xingyu Lu
    ,
    Hong Qian
    , Jun Zhou,
    Aimin Zhou
  68. LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs
    AAAI 2024 ·
    Yan Wang
    ,
    Zhixuan Chu
    ,
    Xin Ouyang
    ,
    Simeng Wang
    ,
    Hongyan Hao
    ,
    Yue Shen
    ,
    Jinjie Gu
    ,
    Siqiao Xue
    ,
    James Zhang
    ,
    Qing Cui
    ,
    Longfei Li
    , Jun Zhou,
    Sheng Li
  69. Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
    EMNLP 2024 ·
    Junjie Wang
    ,
    Mingyang Chen
    ,
    Binbin Hu
    ,
    Dan Yang
    ,
    Ziqi Liu
    ,
    Yue Shen
    ,
    Peng Wei
    ,
    Zhiqiang Zhang
    ,
    Jinjie Gu
    , Jun Zhou,
    Jeff Z. Pan
    ,
    Wen Zhang
    ,
    Huajun Chen
  70. Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation
    WWW 2024 ·
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    Zhiqiang Zhang
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  71. Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization
    NeurIPS 2024 ·
    Rongzhen Wang
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    Chenyu Zheng
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    Xiaolu Zhang
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  72. MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
    AAAI 2024 ·
    Hao Qian
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  73. Multi-view Temporal Knowledge Graph Reasoning
    CIKM 2024 ·
    Fuwei Zhang
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  74. Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting
    CIKM 2024 ·
    Shiyu Wang
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    Yu Liu
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    Yuliang Guo
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    Yang Chen
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  75. Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction
    WSDM 2024 ·
    Yakun Wang
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  76. OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System
    VLDB 2024 ·
    Ningyu Zhang
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    Yunzhi Yao
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  77. OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs
    EMNLP 2024 ·
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  78. OptScaler: A Collaborative Framework for Robust Autoscaling in the Cloud
    VLDB 2024 ·
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  79. Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning
    EMNLP 2024 ·
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  80. PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation
    WSDM 2024 ·
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  81. ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool
    RecSys 2024 ·
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  82. Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models
    NeurIPS 2024 ·
    Hanxiao Zhang
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    Lin Ju
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    Chan Wu
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    Jinjing Huang
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    Youshao Xiao
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    Zhenglei Zhou
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    Zhiming Fan
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  83. Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources
    ICML 2024 ·
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  84. TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference
    CIKM 2024 ·
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    Shirui Hu
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  85. TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
    ICLR 2024 ·
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    Haixu Wu
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  86. Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations
    ICML 2024 ·
    Kaiwen Xue
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  87. π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control
    AAAI 2024 ·
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    Kai Zhang
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