Zhenhua Dong

233 papers A* 48A 26B 5C 3Misc 1Journal 115Unranked 35
YearRankTypeTitle / Venue / Authors
2026 J jnl
Analyzing how pre-trained language models capture factual knowledge using attribution methods.
Knowl. Based Syst.
Shaobo Li, Chengjie Sun, Bingquan Liu, Xiaoguang Li, Lifeng Shang, Zhenhua Dong, Zhenzhou Ji, Xin Jiang, Qun Liu
2026 J jnl
BATQuant: Outlier-resilient MXFP4 Quantization via Learnable Block-wise Optimization.
CoRR
Ji-Fu Li, Manyi Zhang, Xiaobo Xia, Han Bao, Haoli Bai, Zhenhua Dong, Xianzhi Yu
2026 J jnl
Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point Formats.
CoRR
Manyi Zhang, Ji-Fu Li, Zhongao Sun, Haoli Bai, Hui-Ling Zhen, Zhenhua Dong, Xianzhi Yu
2026 A conf
Counteracting the Delayed Conversions in OCPC with Survival Analysis.
WSDM
Leping Zhang, Chenxuan He, Xiao Zhang, Yichao Wang, Tengxiang Zhang, Zhenhua Dong, Jun Xu
2026 A* conf
FairFS: Addressing Deep Feature Selection Biases for Recommender System.
WWW
Xianquan Wang, Zhaocheng Du, Jieming Zhu, Qinglin Jia, Zhenhua Dong, Kai Zhang
2026 J jnl
FairFS: Addressing Deep Feature Selection Biases for Recommender System.
CoRR
Xianquan Wang, Zhaocheng Du, Jieming Zhu, Qinglin Jia, Zhenhua Dong, Kai Zhang
2026 — conf
FuXi-γ: Efficient Sequential Recommendation with Exponential-Power Temporal Encoder and Diagonal-Sparse Positional Mechanism.
KDD (1)
Dezhi Yi, Wei Guo, Wenyang Cui, Wenxuan He, Huifeng Guo, Yong Liu, Zhenhua Dong, Ye Lu
2026 J jnl
Improving Music Recommendation With Fine-Grained Content-Based Behavior Retrieval.
IEEE Trans. Cybern.
Wenyan Fan, Yan Liu, Shengyu Zhang, Jieming Zhu, Mengze Li, Xufeng Qian, Zhou Zhao, Zhenhua Dong, Ruiming Tang, Fei Wu
2026 A* conf
Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction.
AAAI
Zhicheng Zhang, Zhaocheng Du, Jieming Zhu, Jiwei Tang, Fengyuan Lu, Wang Jiaheng, Song-Li Wu, Qianhui Zhu, Jingyu Li, Hai-Tao Zheng, Zhenhua Dong
2026 J jnl
Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction.
CoRR
Zhicheng Zhang, Zhaocheng Du, Jieming Zhu, Jiwei Tang, Fengyuan Lu, Wang Jiaheng, Song-Li Wu, Qianhui Zhu, Jingyu Li, Hai-Tao Zheng, Zhenhua Dong
2026 J jnl
MALLOC: Benchmarking the Memory-aware Long Sequence Compression for Large Sequential Recommendation.
CoRR
Qihang Yu, Kairui Fu, Zhaocheng Du, Yuxuan Si, Kaiyuan Li, Weihao Zhao, Zhicheng Zhang, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Shengyu Zhang, Kun Kuang, Fei Wu
2026 A* conf
Optimizing Multi-Turn Interactive Recommendation Agents via Generative Intrinsic Motivation.
WWW
Xueyang Feng, Jiakai Tang, Xu Chen, Quanyu Dai, Zhenhua Dong
2026 A* conf
REACTION: Parameter-Efficient Learning for Recommendation.
AAAI
Song-Li Wu, Zhaocheng Du, Qinglin Jia, Zhenhua Dong
2026 J jnl
SwiftMem: Fast Agentic Memory via Query-aware Indexing.
CoRR
Anxin Tian, Yiming Li, Xing Li, Hui-Ling Zhen, Lei Chen, Xianzhi Yu, Zhenhua Dong, Mingxuan Yuan
2026 J jnl
UNGER: Generative Recommendation with A Unified Code via Semantic and Collaborative Integration.
ACM Trans. Inf. Syst.
Longtao Xiao, Haozhao Wang, Cheng Wang, Linfei Ji, Yifan Wang, Jieming Zhu, Zhenhua Dong, Rui Zhang, Ruixuan Li
2026 J jnl
Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats.
CoRR
Pengxiang Zhao, Hui-Ling Zhen, Xing Li, Han Bao, Weizhe Lin, Zhiyuan Yang, Manyi Zhang, Yuanyong Luo, Ziwei Yu, Xin Wang, Mingxuan Yuan, Xianzhi Yu, Zhenhua Dong
2026 J jnl
What Matters For Safety Alignment?
CoRR
Xing Li, Hui-Ling Zhen, Lihao Yin, Xianzhi Yu, Zhenhua Dong, Mingxuan Yuan
2025 — conf
A Contextual-Aware Position Encoding for Sequential Recommendation.
WWW (Companion Volume)
Jun Yuan, Guohao Cai, Zhenhua Dong
2025 J jnl
A Contextual-Aware Position Encoding for Sequential Recommendation.
CoRR
Jun Yuan, Guohao Cai, Zhenhua Dong
2025 J jnl
A Survey on the Memory Mechanism of Large Language Model-based Agents.
ACM Trans. Inf. Syst.
Zeyu Zhang, Quanyu Dai, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen
2025 J jnl
Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation.
CoRR
Yifan Wang, Weinan Gan, Longtao Xiao, Jieming Zhu, Heng Chang, Haozhao Wang, Rui Zhang, Zhenhua Dong, Ruiming Tang, Ruixuan Li
2025 A* conf
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization.
AAAI
Xiao Zhang, Sunhao Dai, Jun Xu, Yong Liu, Zhenhua Dong
2025 J jnl
Adapting Constrained Markov Decision Process for OCPC Bidding with Delayed Conversions.
ACM Trans. Inf. Syst.
Leping Zhang, Xiao Zhang, Yichao Wang, Xuan Li, Zhenhua Dong, Jun Xu
2025 J jnl
Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge.
CoRR
Luyu Chen, Zeyu Zhang, Haoran Tan, Quanyu Dai, Hao Yang, Zhenhua Dong, Xu Chen
2025 A* conf
Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models.
IJCAI
Jie-Jing Shao, Hong-Jie You, Guohao Cai, Quanyu Dai, Zhenhua Dong, Lan-Zhe Guo
2025 J jnl
CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension.
CoRR
Rui Li, Zeyu Zhang, Xiaohe Bo, Zihang Tian, Xu Chen, Quanyu Dai, Zhenhua Dong, Ruiming Tang
2025 — conf
CART: A Generative Cross-Modal Retrieval Framework With Coarse-To-Fine Semantic Modeling.
ACL (1)
Minghui Fang, Shengpeng Ji, Jialong Zuo, Hai Huang, Yan Xia, Jieming Zhu, Xize Cheng, Xiaoda Yang, Wenrui Liu, Gang Wang, Zhenhua Dong, Zhou Zhao
2025 J jnl
CHOP: Mobile Operating Assistant with Constrained High-frequency Optimized Subtask Planning.
CoRR
Yuqi Zhou, Shuai Wang, Sunhao Dai, Qinglin Jia, Zhaocheng Du, Zhenhua Dong, Jun Xu
2025 J jnl
CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry.
CoRR
Xiaopeng Ye, Chen Xu, Zhongxiang Sun, Jun Xu, Gang Wang, Zhenhua Dong, Ji-Rong Wen
2025 A* conf
EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration.
WWW
Minjie Hong, Yan Xia, Zehan Wang, Jieming Zhu, Ye Wang, Sihang Cai, Xiaoda Yang, Quanyu Dai, Zhenhua Dong, Zhimeng Zhang, Zhou Zhao
2025 J jnl
EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration.
CoRR
Minjie Hong, Yan Xia, Zehan Wang, Jieming Zhu, Ye Wang, Sihang Cai, Xiaoda Yang, Quanyu Dai, Zhenhua Dong, Zhimeng Zhang, Zhou Zhao
2025 — conf
Enhancing Multimodal Unified Representations for Cross Modal Generalization.
ACL (Findings)
Hai Huang, Yan Xia, Shengpeng Ji, Shulei Wang, Hanting Wang, Minghui Fang, Jieming Zhu, Zhenhua Dong, Sashuai Zhou, Zhou Zhao
2025 J jnl
Evaluating Conversational Recommender Systems with Large Language Models: A User-Centric Evaluation Framework.
CoRR
Nuo Chen, Quanyu Dai, Xiaoyu Dong, Xiao-Ming Wu, Zhenhua Dong
2025 J jnl
Evaluating Recabilities of Foundation Models: A Multi-Domain, Multi-Dataset Benchmark.
CoRR
Qijiong Liu, Jieming Zhu, Yingxin Lai, Xiaoyu Dong, Lu Fan, Zhipeng Bian, Zhenhua Dong, Xiao-Ming Wu
2025 — conf
Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent.
ACL (Findings)
Xueyang Feng, Jingsen Zhang, Jiakai Tang, Wei Li, Guohao Cai, Xu Chen, Quanyu Dai, Yue Zhu, Zhenhua Dong
2025 J jnl
Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent.
CoRR
Xueyang Feng, Jingsen Zhang, Jiakai Tang, Wei Li, Guohao Cai, Xu Chen, Quanyu Dai, Yue Zhu, Zhenhua Dong
2025 A* conf
Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop.
SIGIR
Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2025 J jnl
FAIR: Focused Attention Is All You Need for Generative Recommendation.
CoRR
Longtao Xiao, Haolin Zhang, Guohao Cai, Jieming Zhu, Yifan Wang, Heng Chang, Zhenhua Dong, Xiu Li, Ruixuan Li
2025 — conf
Few-shot LLM Synthetic Data with Distribution Matching.
WWW (Companion Volume)
Jiyuan Ren, Zhaocheng Du, Zhihao Wen, Qinglin Jia, Sunhao Dai, Chuhan Wu, Zhenhua Dong
2025 J jnl
Few-shot LLM Synthetic Data with Distribution Matching.
CoRR
Jiyuan Ren, Zhaocheng Du, Zhihao Wen, Qinglin Jia, Sunhao Dai, Chuhan Wu, Zhenhua Dong
2025 J jnl
FuXi-γ: Efficient Sequential Recommendation with Exponential-Power Temporal Encoder and Diagonal-Sparse Positional Mechanism.
CoRR
Dezhi Yi, Wei Guo, Wenyang Cui, Wenxuan He, Huifeng Guo, Yong Liu, Zhenhua Dong, Ye Lu
2025 A* conf
ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment.
EMNLP
Zhipeng Bian, Jieming Zhu, Qijiong Liu, Wang Lin, Guohao Cai, Zhaocheng Du, Jiacheng Sun, Zhou Zhao, Zhenhua Dong
2025 — conf
Improving Retrospective Language Agents via Joint Policy Gradient Optimization.
NAACL (Long Papers)
Xueyang Feng, Bo Lan, Quanyu Dai, Lei Wang, Jiakai Tang, Xu Chen, Zhenhua Dong, Ji-Rong Wen
2025 J jnl
Improving Retrospective Language Agents via Joint Policy Gradient Optimization.
CoRR
Xueyang Feng, Bo Lan, Quanyu Dai, Lei Wang, Jiakai Tang, Xu Chen, Zhenhua Dong, Ji-Rong Wen
2025 J jnl
Inference Computation Scaling for Feature Augmentation in Recommendation Systems.
CoRR
Weihao Liu, Zhaocheng Du, Haiyuan Zhao, Wenbo Zhang, Xiaoyan Zhao, Gang Wang, Zhenhua Dong, Jun Xu
2025 — conf
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing.
KDD (2)
Rui Li, Quanyu Dai, Zeyu Zhang, Xu Chen, Zhenhua Dong, Ji-Rong Wen
2025 J jnl
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing.
CoRR
Rui Li, Quanyu Dai, Zeyu Zhang, Xu Chen, Zhenhua Dong, Ji-Rong Wen
2025 A* conf
LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information Asymmetry.
SIGIR
Xiaopeng Ye, Chen Xu, Zhongxiang Sun, Jun Xu, Gang Wang, Zhenhua Dong, Ji-Rong Wen
2025 J jnl
Learn to Memorize: Optimizing LLM-based Agents with Adaptive Memory Framework.
CoRR
Zeyu Zhang, Quanyu Dai, Rui Li, Xiaohe Bo, Xu Chen, Zhenhua Dong
2025 A* conf
MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising.
WWW
Quanyu Dai, Jiaren Xiao, Zhaocheng Du, Jieming Zhu, Chengxiao Luo, Xiao-Ming Wu, Zhenhua Dong
2025 J jnl
MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising.
CoRR
Quanyu Dai, Jiaren Xiao, Zhaocheng Du, Jieming Zhu, Chengxiao Luo, Xiao-Ming Wu, Zhenhua Dong
2025 — conf
MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation.
ACL (6)
Zhipeng Bian, Jieming Zhu, Xuyang Xie, Quanyu Dai, Zhou Zhao, Zhenhua Dong
2025 J jnl
MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation.
CoRR
Zhipeng Bian, Jieming Zhu, Xuyang Xie, Quanyu Dai, Zhou Zhao, Zhenhua Dong
2025 J jnl
MTRec: Learning to Align with User Preferences via Mental Reward Models.
CoRR
Mengchen Zhao, Yifan Gao, Yaqing Hou, Xiangyang Li, Pengjie Gu, Zhenhua Dong, Ruiming Tang, Yi Cai
2025 — conf
MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents.
ACL (Findings)
Haoran Tan, Zeyu Zhang, Chen Ma, Xu Chen, Quanyu Dai, Zhenhua Dong
2025 J jnl
MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents.
CoRR
Haoran Tan, Zeyu Zhang, Chen Ma, Xu Chen, Quanyu Dai, Zhenhua Dong
2025 — conf
MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents.
WWW (Companion Volume)
Zeyu Zhang, Quanyu Dai, Xu Chen, Rui Li, Zhongyang Li, Zhenhua Dong
2025 J jnl
MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents.
CoRR
Zeyu Zhang, Quanyu Dai, Xu Chen, Rui Li, Zhongyang Li, Zhenhua Dong
2025 A* conf
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents.
ICLR
Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2025 J jnl
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents.
CoRR
Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2025 J jnl
Progressive Collaborative and Semantic Knowledge Fusion for Generative Recommendation.
CoRR
Longtao Xiao, Haozhao Wang, Cheng Wang, Linfei Ji, Yifan Wang, Jieming Zhu, Zhenhua Dong, Rui Zhang, Ruixuan Li
2025 A conf
Prompt Tuning as User Inherent Profile Inference Machine.
CIKM
Yusheng Lu, Zhaocheng Du, Xiangyang Li, Pengyue Jia, Yejing Wang, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan, Xiangyu Zhao
2025 J jnl
Prompt and Parameter Co-Optimization for Large Language Models.
CoRR
Xiaohe Bo, Rui Li, Zexu Sun, Quanyu Dai, Zeyu Zhang, Zihang Tian, Xu Chen, Zhenhua Dong
2025 — conf
Q-PRM: Adaptive Query Rewriting for Retrieval-Augmented Generation via Step-level Process Supervision.
EMNLP (Findings)
Xiaopeng Ye, Chen Xu, Chaoliang Zhang, Zhaocheng Du, Jun Xu, Gang Wang, Zhenhua Dong
2025 A* conf
RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation.
EMNLP
Sashuai Zhou, Weinan Gan, Qijiong Liu, Ke Lei, Jieming Zhu, Hai Huang, Yan Xia, Ruiming Tang, Zhenhua Dong, Zhou Zhao
2025 J jnl
RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation.
CoRR
Sashuai Zhou, Weinan Gan, Qijiong Liu, Ke Lei, Jieming Zhu, Hai Huang, Yan Xia, Ruiming Tang, Zhenhua Dong, Zhou Zhao
2025 — conf
RecUserSim: A Realistic and Diverse User Simulator for Evaluating Conversational Recommender Systems.
WWW (Companion Volume)
Luyu Chen, Quanyu Dai, Zeyu Zhang, Xueyang Feng, Mingyu Zhang, Pengcheng Tang, Xu Chen, Yue Zhu, Zhenhua Dong
2025 J jnl
RecUserSim: A Realistic and Diverse User Simulator for Evaluating Conversational Recommender Systems.
CoRR
Luyu Chen, Quanyu Dai, Zeyu Zhang, Xueyang Feng, Mingyu Zhang, Pengcheng Tang, Xu Chen, Yue Zhu, Zhenhua Dong
2025 J jnl
Regret-aware Re-ranking for Guaranteeing Two-sided Fairness and Accuracy in Recommender Systems.
CoRR
Xiaopeng Ye, Chen Xu, Jun Xu, Xuyang Xie, Gang Wang, Zhenhua Dong
2025 — conf
SocialEval: Evaluating Social Intelligence of Large Language Models.
ACL (1)
Jinfeng Zhou, Yuxuan Chen, Yihan Shi, Xuanming Zhang, Leqi Lei, Yi Feng, Zexuan Xiong, Miao Yan, Xunzhi Wang, Yaru Cao, Jianing Yin, Shuai Wang, Quanyu Dai, Zhenhua Dong, Hongning Wang, Minlie Huang
2025 J jnl
SocialEval: Evaluating Social Intelligence of Large Language Models.
CoRR
Jinfeng Zhou, Yuxuan Chen, Yihan Shi, Xuanming Zhang, Leqi Lei, Yi Feng, Zexuan Xiong, Miao Yan, Xunzhi Wang, Yaru Cao, Jianing Yin, Shuai Wang, Quanyu Dai, Zhenhua Dong, Hongning Wang, Minlie Huang
2025 — conf
TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems.
KDD (2)
Xianquan Wang, Zhaocheng Du, Jieming Zhu, Chuhan Wu, Qinglin Jia, Zhenhua Dong
2025 J jnl
TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems.
CoRR
Xianquan Wang, Zhaocheng Du, Jieming Zhu, Chuhan Wu, Qinglin Jia, Zhenhua Dong
2025 J jnl
Think Socially via Cognitive Reasoning.
CoRR
Jinfeng Zhou, Zheyu Chen, Shuai Wang, Quanyu Dai, Zhenhua Dong, Hongning Wang, Minlie Huang
2025 J jnl
Towards Efficient Agents: A Co-Design of Inference Architecture and System.
CoRR
Weizhe Lin, Hui-Ling Zhen, Shuai Yang, Xian Wang, Renxi Liu, Hanting Chen, Wangze Zhang, Chuansai Zhou, Yiming Li, Chen Chen, Xing Li, Zhiyuan Yang, Xiaosong Li, Xianzhi Yu, Zhenhua Dong, Mingxuan Yuan, Yunhe Wang
2025 — conf
Trustworthy Information Retrieval in the LLM Era: Bias, Unfairness, and Hallucination.
SIGIR-AP
Sunhao Dai, Chen Xu, Shicheng Xu, Zhongxiang Sun, Liang Pang, Zhenhua Dong, Jun Xu
2025 A conf
Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era.
WSDM
Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu
2024 J jnl
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems.
CoRR
Jun Yuan, Guohao Cai, Zhenhua Dong
2024 J jnl
A Survey on the Memory Mechanism of Large Language Model based Agents.
CoRR
Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen
2024 J jnl
ACE: A Generative Cross-Modal Retrieval Framework with Coarse-To-Fine Semantic Modeling.
CoRR
Minghui Fang, Shengpeng Ji, Jialong Zuo, Hai Huang, Yan Xia, Jieming Zhu, Xize Cheng, Xiaoda Yang, Wenrui Liu, Gang Wang, Zhenhua Dong, Zhou Zhao
2024 A conf
AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising.
RecSys
Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang
2024 J jnl
AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising.
CoRR
Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang
2024 Misc conf
Active Explainable Recommendation with Limited Labeling Budgets.
ICASSP
Jingsen Zhang, Xiaohe Bo, Chenxi Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Xu Chen
2024 J jnl
BankFair: Balancing Accuracy and Fairness under Varying User Traffic in Recommender System.
CoRR
Xiaopeng Ye, Chen Xu, Jun Xu, Xuyang Xie, Gang Wang, Zhenhua Dong
2024 A* conf
Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era.
KDD
Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu
2024 J jnl
CELA: Cost-Efficient Language Model Alignment for CTR Prediction.
CoRR
Xingmei Wang, Weiwen Liu, Xiaolong Chen, Qi Liu, Xu Huang, Defu Lian, Xiangyang Li, Yasheng Wang, Zhenhua Dong, Ruiming Tang
2024 J jnl
ChinaTravel: A Real-World Benchmark for Language Agents in Chinese Travel Planning.
CoRR
Jie-Jing Shao, Xiao-Wen Yang, Bo-Wen Zhang, Baizhi Chen, Wen-Da Wei, Guohao Cai, Zhenhua Dong, Lan-Zhe Guo, Yu-Feng Li
2024 A conf
CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation.
RecSys
Jieming Zhu, Mengqun Jin, Qijiong Liu, Zexuan Qiu, Zhenhua Dong, Xiu Li
2024 — conf
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration.
ACL (Findings)
Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2024 J jnl
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration.
CoRR
Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2024 A conf
Confidence-Aware Multi-Field Model Calibration.
CIKM
Yuang Zhao, Chuhan Wu, Qinglin Jia, Hong Zhu, Jia Yan, Libin Zong, Linxuan Zhang, Zhenhua Dong, Muyu Zhang
2024 J jnl
Confidence-Aware Multi-Field Model Calibration.
CoRR
Yuang Zhao, Chuhan Wu, Qinglin Jia, Hong Zhu, Jia Yan, Libin Zong, Linxuan Zhang, Zhenhua Dong, Muyu Zhang
2024 J jnl
Contrastive Quantization based Semantic Code for Generative Recommendation.
CoRR
Mengqun Jin, Zexuan Qiu, Jieming Zhu, Zhenhua Dong, Xiu Li
2024 A* conf
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time.
KDD
Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2024 J jnl
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time.
CoRR
Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2024 A* conf
EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration.
KDD
Ye Wang, Jiahao Xun, Minjie Hong, Jieming Zhu, Tao Jin, Wang Lin, Haoyuan Li, Linjun Li, Yan Xia, Zhou Zhao, Zhenhua Dong
2024 J jnl
EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration.
CoRR
Ye Wang, Jiahao Xun, Mingjie Hong, Jieming Zhu, Tao Jin, Wang Lin, Haoyuan Li, Linjun Li, Yan Xia, Zhou Zhao, Zhenhua Dong
2024 A conf
EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction.
CIKM
Zexuan Qiu, Jieming Zhu, Yankai Chen, Guohao Cai, Weiwen Liu, Zhenhua Dong, Irwin King
2024 J jnl
Explainable Legal Case Matching via Graph Optimal Transport.
IEEE Trans. Knowl. Data Eng.
Zhongxiang Sun, Weijie Yu, Zihua Si, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen
2024 A conf
Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach.
CIKM
Xiaopeng Ye, Chen Xu, Jun Xu, Xuyang Xie, Gang Wang, Zhenhua Dong
2024 — conf
LightCS: Selecting Quadratic Feature Crosses in Linear Complexity.
WWW (Companion Volume)
Zhaocheng Du, Junhao Chen, Qinglin Jia, Chuhan Wu, Jieming Zhu, Zhenhua Dong, Ruiming Tang
2024 — conf
MART: Learning Hierarchical Music Audio Representations with Part-Whole Transformer.
WWW (Companion Volume)
Dong Yao, Jieming Zhu, Jiahao Xun, Shengyu Zhang, Zhou Zhao, Liqun Deng, Wenqiao Zhang, Zhenhua Dong, Xin Jiang
2024 J jnl
MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants.
CoRR
Zeyu Zhang, Quanyu Dai, Luyu Chen, Zeren Jiang, Rui Li, Jieming Zhu, Xu Chen, Yi Xie, Zhenhua Dong, Ji-Rong Wen
2024 J jnl
Model-Agnostic Causal Embedding Learning for Counterfactually Group-Fair Recommendation.
IEEE Trans. Knowl. Data Eng.
Xiao Zhang, Teng Shi, Jun Xu, Zhenhua Dong, Ji-Rong Wen
2024 A* conf
Modeling User Attention in Music Recommendation.
ICDE
Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen
2024 — conf
Multi-sourced Integrated Ranking with Exposure Fairness.
PAKDD (5)
Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu
2024 — conf
Multimodal Pretraining and Generation for Recommendation: A Tutorial.
WWW (Companion Volume)
Jieming Zhu, Xin Zhou, Chuhan Wu, Rui Zhang, Zhenhua Dong
2024 J jnl
Multimodal Pretraining and Generation for Recommendation: A Tutorial.
CoRR
Jieming Zhu, Chuhan Wu, Rui Zhang, Zhenhua Dong
2024 A* conf
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey.
KDD
Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong
2024 J jnl
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey.
CoRR
Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong
2024 A ed.
Proceedings of the 18th ACM Conference on Recommender Systems, RecSys 2024, Bari, Italy, October 14-18, 2024
RecSys
Tommaso Di Noia, Pasquale Lops, Thorsten Joachims, Katrien Verbert, Pablo Castells, Zhenhua Dong, Ben London
2024 J jnl
Prompt Tuning as User Inherent Profile Inference Machine.
CoRR
Yusheng Lu, Zhaocheng Du, Xiangyang Li, Xiangyu Zhao, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan
2024 J jnl
RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models.
CoRR
Zhuo Wu, Qinglin Jia, Chuhan Wu, Zhaocheng Du, Shuai Wang, Zan Wang, Zhenhua Dong
2024 — conf
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data.
WWW (Companion Volume)
Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu
2024 J jnl
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data.
CoRR
Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu
2024 J jnl
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation.
CoRR
Yuang Zhao, Zhaocheng Du, Qinglin Jia, Linxuan Zhang, Zhenhua Dong, Ruiming Tang
2024 J jnl
Source Echo Chamber: Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop.
CoRR
Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2024 J jnl
Syntactic-Informed Graph Networks for Sentence Matching.
ACM Trans. Inf. Syst.
Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen
2024 A conf
UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning.
CIKM
Boqi Dai, Zhaocheng Du, Jieming Zhu, Jintao Xu, Deqing Zou, Quanyu Dai, Zhenhua Dong, Rui Zhang, Hai-Tao Zheng
2024 J jnl
Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models.
CoRR
Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu
2024 J jnl
Unlocking the Potential of Multimodal Unified Discrete Representation through Training-Free Codebook Optimization and Hierarchical Alignment.
CoRR
Hai Huang, Yan Xia, Shengpeng Ji, Shulei Wang, Hanting Wang, Jieming Zhu, Zhenhua Dong, Zhou Zhao
2024 A* conf
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework.
AAAI
Lei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai
2023 A* conf
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation.
SIGIR
Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang
2023 J jnl
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation.
CoRR
Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang
2023 J jnl
Bounding System-Induced Biases in Recommender Systems with A Randomized Dataset.
CoRR
Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming
2023 J jnl
Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset.
ACM Trans. Inf. Syst.
Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming
2023 A conf
Conditional counterfactual causal effect for individual attribution.
UAI
Ruiqi Zhao, Lei Zhang, Shengyu Zhu, Zitong Lu, Zhenhua Dong, Chaoliang Zhang, Jun Xu, Zhi Geng, Yangbo He
2023 A conf
Customer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives.
RecSys
Chuhan Wu, Qinglin Jia, Zhenhua Dong, Ruiming Tang
2023 A conf
Data-free Knowledge Distillation for Reusing Recommendation Models.
RecSys
Cheng Wang, Jiacheng Sun, Zhenhua Dong, Jieming Zhu, Zhenguo Li, Ruixuan Li, Rui Zhang
2023 J jnl
Debiased Recommendation with User Feature Balancing.
ACM Trans. Inf. Syst.
Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen
2023 J jnl
Debiased Representation Learning in Recommendation via Information Bottleneck.
Trans. Recomm. Syst.
Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2023 A* conf
DisCover: Disentangled Music Representation Learning for Cover Song Identification.
SIGIR
Jiahao Xun, Shengyu Zhang, Yanting Yang, Jieming Zhu, Liqun Deng, Zhou Zhao, Zhenhua Dong, Ruiqi Li, Lichao Zhang, Fei Wu
2023 J jnl
DisCover: Disentangled Music Representation Learning for Cover Song Identification.
CoRR
Jiahao Xun, Shengyu Zhang, Yanting Yang, Jieming Zhu, Liqun Deng, Zhou Zhao, Zhenhua Dong, Ruiqi Li, Lichao Zhang, Fei Wu
2023 A* conf
FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation.
WWW
Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu
2023 J jnl
FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation.
CoRR
Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu
2023 A* conf
FINAL: Factorized Interaction Layer for CTR Prediction.
SIGIR
Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang
2023 A* conf
Fair-CDA: Continuous and Directional Augmentation for Group Fairness.
AAAI
Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li
2023 J jnl
Fair-CDA: Continuous and Directional Augmentation for Group Fairness.
CoRR
Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li
2023 A* conf
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction.
AAAI
Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong
2023 J jnl
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction.
CoRR
Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong
2023 A conf
Gradient Matching for Categorical Data Distillation in CTR Prediction.
RecSys
Cheng Wang, Jiacheng Sun, Zhenhua Dong, Ruixuan Li, Rui Zhang
2023 J jnl
KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data.
IEEE Trans. Knowl. Data Eng.
Dugang Liu, Pengxiang Cheng, Zinan Lin, Jinwei Luo, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2023 — conf
Large Scale CVR Prediction through Hierarchical History Modeling.
RecSys Challenge
Qi Zhang, Zhibin Zhang, Biao Lu, Bangzheng He, Liangbi Li, Zhenhua Dong
2023 A* conf
Law Article-Enhanced Legal Case Matching: A Causal Learning Approach.
SIGIR
Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen
2023 A* conf
Multiple Robust Learning for Recommendation.
AAAI
Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou, Peng Wu
2023 J jnl
Music-PAW: Learning Music Representations via Hierarchical Part-whole Interaction and Contrast.
CoRR
Dong Yao, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Liqun Deng, Wenqiao Zhang, Zhenhua Dong, Ruiming Tang, Xin Jiang
2023 A* conf
Optimal Transport for Treatment Effect Estimation.
NeurIPS
Hao Wang, Jiajun Fan, Zhichao Chen, Haoxuan Li, Weiming Liu, Tianqiao Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang
2023 J jnl
Optimal Transport for Treatment Effect Estimation.
CoRR
Hao Wang, Zhichao Chen, Jiajun Fan, Haoxuan Li, Tianqiao Liu, Weiming Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang
2023 A* conf
P-MMF: Provider Max-min Fairness Re-ranking in Recommender System.
WWW
Chen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenhua Dong
2023 A* conf
REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths.
NeurIPS
Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Xin Zhao, Ji-Rong Wen
2023 J jnl
REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation.
CoRR
Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Ji-Rong Wen
2023 — conf
RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling.
PAKDD (3)
Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
2023 A* conf
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop.
KDD
Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang
2023 J jnl
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop.
CoRR
Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang
2023 A* conf
Recommendation with Causality enhanced Natural Language Explanations.
WWW
Jingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong, Rui Zhang
2023 A* conf
Robust Causal Inference for Recommender System to Overcome Noisy Confounders.
SIGIR
Zhiheng Zhang, Quanyu Dai, Xu Chen, Zhenhua Dong, Ruiming Tang
2023 A conf
Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking.
WSDM
Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
2023 A* conf
Sequential Recommendation with User Causal Behavior Discovery.
ICDE
Zhenlei Wang, Xu Chen, Rui Zhou, Quanyu Dai, Zhenhua Dong, Ji-Rong Wen
2023 A* conf
Single-shot Feature Selection for Multi-task Recommendations.
SIGIR
Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong
2023 J jnl
Ten Challenges in Industrial Recommender Systems.
CoRR
Zhenhua Dong, Jieming Zhu, Weiwen Liu, Ruiming Tang
2023 — conf
Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition.
SIGIR-AP
Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
2023 A conf
Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation.
RecSys
Haiyuan Zhao, Lei Zhang, Jun Xu, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
2023 J jnl
Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation.
CoRR
Haiyuan Zhao, Lei Zhang, Jun Xu, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
2022 J jnl
A Brief History of Recommender Systems.
CoRR
Zhenhua Dong, Zhe Wang, Jun Xu, Ruiming Tang, Jirong Wen
2022 A* conf
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction.
KDD
Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun
2022 J jnl
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction.
CoRR
Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun
2022 J jnl
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems.
CoRR
Yan Lyu, Sunhao Dai, Peng Wu, Quanyu Dai, Yuhao Deng, Wenjie Hu, Zhenhua Dong, Jun Xu, Shengyu Zhu, Xiao-Hua Zhou
2022 J jnl
Causal Analysis Framework for Recommendation.
CoRR
Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou
2022 A* conf
CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation.
KDD
Yichao Wang, Huifeng Guo, Bo Chen, Weiwen Liu, Zhirong Liu, Qi Zhang, Zhicheng He, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Zhenhua Dong, Ruiming Tang
2022 A* conf
Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification.
KDD
Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen
2022 J jnl
Debiased Recommendation with Neural Stratification.
CoRR
Quanyu Dai, Zhenhua Dong, Xu Chen
2022 J jnl
Debiased Recommendation with User Feature Balancing.
CoRR
Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen
2022 J jnl
Debiased recommendation with neural stratification.
AI Open
Quanyu Dai, Zhenhua Dong, Xu Chen
2022 A conf
Dually Enhanced Propensity Score Estimation in Sequential Recommendation.
CIKM
Chen Xu, Jun Xu, Xu Chen, Zhenhua Dong, Ji-Rong Wen
2022 A* conf
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction.
SIGIR
Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen
2022 J jnl
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction.
CoRR
Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen
2022 — conf
How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis.
ACL (Findings)
Shaobo Li, Xiaoguang Li, Lifeng Shang, Zhenhua Dong, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu
2022 J jnl
How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis.
CoRR
Shaobo Li, Xiaoguang Li, Lifeng Shang, Zhenhua Dong, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu
2022 J jnl
IPGAN: Generating Informative Item Pairs by Adversarial Sampling.
IEEE Trans. Neural Networks Learn. Syst.
Guibing Guo, Huan Zhou, Bowei Chen, Zhirong Liu, Xiao Xu, Xu Chen, Zhenhua Dong, Xiuqiang He
2022 A conf
IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System.
CIKM
Xiangyang Li, Bo Chen, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong, Ruiming Tang
2022 J jnl
IntTower: the Next Generation of Two-Tower Model for Pre-Ranking System.
CoRR
Xiangyang Li, Bo Chen, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong, Ruiming Tang
2022 A conf
LCD: Adaptive Label Correction for Denoising Music Recommendation.
CIKM
Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang
2022 J jnl
Law Article-Enhanced Legal Case Matching: a Model-Agnostic Causal Learning Approach.
CoRR
Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen
2022 — conf
MINER: Multi-Interest Matching Network for News Recommendation.
ACL (Findings)
Jian Li, Jieming Zhu, Qiwei Bi, Guohao Cai, Lifeng Shang, Zhenhua Dong, Xin Jiang, Qun Liu
2022 A* conf
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges.
IJCAI
Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou
2022 B conf
Optimal Partial Transport Based Sentence Selection for Long-form Document Matching.
COLING
Weijie Yu, Liang Pang, Jun Xu, Bing Su, Zhenhua Dong, Ji-Rong Wen
2022 J jnl
Rapid and Automated Mapping of Crop Type in Jilin Province Using Historical Crop Labels and the Google Earth Engine.
Remote. Sens.
Feng Zhi, Zhenhua Dong, Suri Guga, Yongbin Bao, Aru Han, Jiquan Zhang, Yulong Bao
2022 A* conf
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems.
SIGIR
Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang
2022 J jnl
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems.
CoRR
Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang
2022 J jnl
Recommendation with User Active Disclosing Willingness.
CoRR
Lei Wang, Xu Chen, Quanyu Dai, Zhenhua Dong
2022 B conf
Semantic Sentence Matching via Interacting Syntax Graphs.
COLING
Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen
2022 J jnl
Sequential Recommendation with Causal Behavior Discovery.
CoRR
Zhenlei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen
2022 J jnl
Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition.
CoRR
Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
2021 — conf
Approximate Calculation Method of Electron Transit Time in Vacuum Microelectronic Triode.
CSIA (1)
Zhenhua Dong, Xiaoming Li
2021 B conf
Dual Sequence Transformer for Query-based Interactive Recommendation.
MDM
Guohao Cai, Xiaoguang Li, Quanyu Dai, Gang Wang, Zhenhua Dong, Chaoliang Zhang, Xiuqiang He, Lifeng Shang
2021 A conf
Mitigating Confounding Bias in Recommendation via Information Bottleneck.
RecSys
Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2021 J jnl
Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation.
CoRR
Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang
2021 A* conf
Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation.
AAAI
Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang
2021 A conf
SimpleX: A Simple and Strong Baseline for Collaborative Filtering.
CIKM
Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He
2021 J jnl
SimpleX: A Simple and Strong Baseline for Collaborative Filtering.
CoRR
Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He
2021 A conf
Top-N Recommendation with Counterfactual User Preference Simulation.
CIKM
Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang
2021 J jnl
Top-N Recommendation with Counterfactual User Preference Simulation.
CoRR
Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang
2020 A* conf
A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data.
SIGIR
Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2020 B conf
AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction.
MDM
Chih-Yao Chang, Xing Tang, Bo-Wen Yuan, Jui-Yang Hsia, Zhirong Liu, Zhenhua Dong, Xiuqiang He, Chih-Jen Lin
2020 A conf
Counterfactual learning for recommender system.
RecSys
Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen
2020 — conf
Design and Research of Electroless Copper Plating in Microelectronics.
SPIoT (2)
Zhenhua Dong, Xiaoming Li
2020 A* conf
Influence Function for Unbiased Recommendation.
SIGIR
Jiangxing Yu, Hong Zhu, Chih-Yao Chang, Xinhua Feng, Bo-Wen Yuan, Xiuqiang He, Zhenhua Dong
2020 A* conf
Less Is Better: Unweighted Data Subsampling via Influence Function.
AAAI
Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang
2020 A* conf
Leveraging Title-Abstract Attentive Semantics for Paper Recommendation.
AAAI
Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He
2020 A* conf
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection.
WWW
Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li
2020 J jnl
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection.
CoRR
Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li
2020 J jnl
Personalized Re-ranking for Improving Diversity in Live Recommender Systems.
CoRR
Yichao Wang, Xiangyu Zhang, Zhirong Liu, Zhenhua Dong, Xinhua Feng, Ruiming Tang, Xiuqiang He
2020 A conf
Unbiased Ad Click Prediction for Position-aware Advertising Systems.
RecSys
Bo-Wen Yuan, Yaxu Liu, Jui-Yang Hsia, Zhenhua Dong, Chih-Jen Lin
2019 A conf
Improving Ad Click Prediction by Considering Non-displayed Events.
CIKM
Bo-Wen Yuan, Jui-Yang Hsia, Mengyuan Yang, Hong Zhu, Chih-Yao Chang, Zhenhua Dong, Chih-Jen Lin
2019 J jnl
Less Is Better: Unweighted Data Subsampling via Influence Function.
CoRR
Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang
2019 — conf
Real-Time Demonstration of an Integrated Metro-Access Network Carrying Live VR Traffic Based on Multi-Carrier Modulation and Simplified Sub-Band Coherent Detection.
OFC
Yansi Le, Huaiyu Zeng, Xu Zhou, Ning Deng, Sharief Megeed, Andy Shen, Zhenhua Dong, Zhiyong Feng, Tianhai Chang, Xiang Liu
2019 J jnl
Uncovering Download Fraud Activities in Mobile App Markets.
CoRR
Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu
2019 B conf
Uncovering download fraud activities in mobile app markets.
ASONAM
Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu
2018 J jnl
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction.
CoRR
Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He, Zhenhua Dong
2018 J jnl
Federated Meta-Learning for Recommendation.
CoRR
Fei Chen, Zhenhua Dong, Zhenguo Li, Xiuqiang He
2018 J jnl
Hidden community identification in location-based social network via probabilistic venue sequences.
Inf. Sci.
Hui Li, Ke Deng, Jiangtao Cui, Zhenhua Dong, Jianfeng Ma, Jianbin Huang
2017 C conf
A model predictive control based zero-sequence circulating currents elimination algorithm for parallel operating three-level T-type inverters.
IECON
Xiaodong Wang, Jianxiao Zou, Kai Li, Zhenhua Dong, Gang Zhang, Xie Chuan
2017 C conf
A unified triangle carrier based PWM strategy for three-phase N-level diode clamped inverters.
IECON
Kai Li, Chuan Xie, Min Wei, Zhenhua Dong, Mengshu Li, Josep M. Guerrero
2017 J jnl
Design Aspects of Multi-Soliton Pulses for Optical Fiber Transmission.
CoRR
Vahid Aref, Zhenhua Dong, Henning Bülow
2017 A* conf
PINOCCHIO: Probabilistic Influence-Based Location Selection over Moving Objects.
ICDE
Meng Wang, Hui Li, Jiangtao Cui, Ke Deng, Sourav S. Bhowmick, Zhenhua Dong
2016 C conf
Elimination of zero sequence circulating current between parallel operating three-level inverters.
IECON
Kai Li, Xiaodong Wang, Zhenhua Dong, Xianzhi Wang, Josep M. Guerrero, Juan C. Vasquez, Qingsong Wang
2016 J jnl
PINOCCHIO: Probabilistic Influence-Based Location Selection over Moving Objects.
IEEE Trans. Knowl. Data Eng.
Meng Wang, Hui Li, Jiangtao Cui, Ke Deng, Sourav S. Bhowmick, Zhenhua Dong
2016 — conf
Phase modulation on nonlinear discrete spectrum for Nonlinear Frequency Division Multiplexed transmissions.
OFC
Tao Gui, Zhenhua Dong, Chao Lu, Alexander Ping-Kong Wai, Alan Pak Tao Lau
2015 — conf
Optical performance monitoring in DSP-based coherent optical systems.
OFC
Zhenhua Dong, Qi Sui, Alan Pak Tao Lau, Kangping Zhong, Liangchuan Li, Zhaohui Li, Chao Lu
2014 — conf
Modulation format identification based on received signal power distributions for digital coherent receivers.
OFC
Jie Liu, Zhenhua Dong, Kangping Zhong, Alan Pak Tao Lau, Chao Lu, Yanzhao Lu
2012 — conf
In search of the ur-Wikipedia: universality, similarity, and translation in the Wikipedia inter-language link network.
WikiSym
Morten Warncke-Wang, Anuradha Uduwage, Zhenhua Dong, John Riedl
2012 A conf
War Versus Inspirational in Forrest Gump: Cultural Effects in Tagging Communities.
ICWSM
Zhenhua Dong, Chuan Shi, Shilad Sen, Loren G. Terveen, John Riedl
2011 — conf
WP: clubhouse?: an exploration of Wikipedia's gender imbalance.
Int. Sym. Wikis
Shyong K. Lam, Anuradha Uduwage, Zhenhua Dong, Shilad Sen, David R. Musicant, Loren G. Terveen, John Riedl