Weinan Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
292
Venues
38
Active years
2012–2026
Best venue rank
A*
Where they publish
- A*KDD36 papers
- ACIKM31 papers
- A*ACL30 papers
- A*AAAI28 papers
- A*SIGIR27 papers
- A*WWW18 papers
- A*IJCAI16 papers
- A*ICLR14 papers
- A*ICML12 papers
- A*EMNLP11 papers
- AWSDM11 papers
- ARecSys7 papers
- BCOLING5 papers
- BIJCNN4 papers
- A*ICRA4 papers
- UnrankedCoRL4 papers
- CAPWEB3 papers
- AIROS3 papers
- BICONIP3 papers
- AAISTATS3 papers
- AECIR3 papers
- AECAI2 papers
- A*VLDB2 papers
- AAIED1 paper
- BDASFAA1 paper
- CICANN1 paper
- BPAKDD1 paper
- MulticonferenceICASSP1 paper
- A*ICDE1 paper
- BEDM1 paper
- BCoNLL1 paper
- UnrankedICTIR1 paper
- ANAACL1 paper
- AUAI1 paper
- A*SP1 paper
- AIUI1 paper
- A*ICDM1 paper
- BWISE1 paper
Papers
292 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | PADiff: Predictive and Adaptive Diffusion Policies for Ad Hoc Teamwork. | Hohei Chan, Xinzhi Zhang, Antao Xiang, Weinan Zhang, Mengchen Zhao |
| 2026 | AAAI | Offline Fictitious Self-Play for Competitive Games. | Jingxiao Chen, Weiji Xie, Weinan Zhang, Yong Yu, Ying Wen |
| 2026 | AAAI | Bridging Scale Discrepancies in Robotic Control via Language-Based Action Representations. | Yuchi Zhang, Churui Sun, Shiqi Liang, Diyuan Liu, Chao Ji, Weinan Zhang, Ting Liu |
| 2026 | ACL | Progra: Progress-Aware Reinforcement Learning for Multi-Turn Function Calling. | Huacan Chai, Zijie Cao, Maolin Ran, Yingxuan Yang, Jianghao Lin, Xin Peng, Hairui Wang, Renjie Ding, Ziyu Wan, Muning Wen, Weiwen Liu, Weinan Zhang, Fei Huang, Ying Wen |
| 2026 | ACL | CoreCodeBench: Decoupling Code Intelligence via Fine-Grained Repository-Level Tasks. | Lingyue Fu, Hao Guan, Bolun Zhang, Haowei Yuan, Yaoming Zhu, Lin Qiu, Zongyu Wang, Xuezhi Cao, Xunliang Cai, Weiwen Liu, Weinan Zhang, Yong Yu |
| 2026 | ACL | Exploring and Distilling Multi-Dimensional Clues for Interpretable Social Bot Detection. | Yi Han, Haiqi Lu, Lizi Liao, Shuhan Zhou, Yuanxing Liu, Weinan Zhang, Ting Liu |
| 2026 | ACL | ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling. | Jianghao Lin, Yuanyuan Shi, Xin Peng, Renjie Ding, Hairui Wang, Yuxuan Peng, Bizhe Bai, Weixi Song, Fengshuo Bai, Huacan Chai, Weinan Zhang, Fei Huang, Ying Wen |
| 2026 | ACL | FAER: Benchmarking VLMs for Failure-Aware Embodied Reasoning. | Hao Song, Kaifeng Liu, Yuanxing Liu, Xiang Tian, Xuesong Wang, Chen Yifan, Weinan Zhang, Ting Liu |
| 2026 | ACL | ColorBrowserAgent: Complex Long-Horizon Browser Agent with Adaptive Knowledge Evolution. | Jihong Wang, Jiamu Zhou, Weiming Zhang, Teng Wang, Weiwen Liu, Zhuosheng Zhang, Xingyu Lou, Weinan Zhang, Huarong Deng, Jun Wang |
| 2026 | ACL | Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning. | Zheng Wu, Xingyu Lou, Xinbei Ma, Yansi Li, Weiwen Liu, Weinan Zhang, Jun Wang, Zhuosheng Zhang |
| 2026 | ACL | A Survey of Large Language Model-Based Search Agents. | Yunjia Xi, Jianghao Lin, Yongzhao Xiao, Zheli Zhou, Rong Shan, Te Gao, Jiachen Zhu, Weiwen Liu, Yong Yu, Weinan Zhang |
| 2026 | ACL | Attribution-Based Analysis and Optimization of Modular Agentic Workflows. | Yingxuan Yang, Bo Huang, Siyuan Qi, Chao Feng, Haoyi Hu, Yuxuan Zhu, Jinbo Hu, Haoran Zhao, Ziyi He, Xiao Liu, Zongyu Wang, Muning Wen, Lin Qiu, Xuezhi Cao, Xunliang Cai, Yong Yu, Weinan Zhang |
| 2026 | ACL | ACE-Router: Generalizing History-Aware Routing from MCP Tools to the Agent Web. | Zhiyuan Yao, Zishan Xu, Yifu Guo, Zhiguang Han, Cheng Yang, Shuo Zhang, Weinan Zhang, Xingshan Zeng, Weiwen Liu |
| 2026 | ACL | LoopTool: Closing the Data-Training Loop for Robust LLM Tool Calls. | Kangning Zhang, Weiwen Liu, Wenxiang Jiao, Kounianhua Du, Yuan Lu, Weinan Zhang, Yong Yu |
| 2026 | ACL | A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and Usage. | Congmin Zheng, Jiachen Zhu, Zhuoying Ou, Yuxiang Chen, Kangning Zhang, Rong Shan, Zeyu Zheng, Mengyue Yang, Jianghao Lin, Yong Yu, Weinan Zhang |
| 2026 | AIED | DebugTA: An LLM-Based Agent for Simplifying Debugging and Teaching in Programming Education. | Lingyue Fu, Datong Chen, Haowei Yuan, Qingyao Li, Weiwen Liu, Weinan Zhang, Yong Yu |
| 2026 | DASFAA | Generative Representational Learning of Foundation Models for Recommendation. | Zheli Zhou, Chenxu Zhu, Jianghao Lin, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2026 | KDD | Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Items. | Jianghao Lin, Peng Du, Jiaqi Liu, Weite Li, Yong Yu, Weinan Zhang, Yang Cao |
| 2026 | WWW | ColorBench: Benchmarking Mobile Agents with Graph-Structured Framework for Complex Long-Horizon Tasks. | Yuanyi Song, Heyuan Huang, Qiqiang Lin, Yin Zhao, Xiangmou Qu, Jun Wang, Xingyu Lou, Weiwen Liu, Zhuosheng Zhang, Jun Wang, Zhaoxiang Wang, Yong Yu, Weinan Zhang |
| 2026 | SIGIR | Modular Representation Compression: Adapting LLM Representations for Efficient and Effective Recommendation. | Yunjia Xi, Menghui Zhu, Jianghao Lin, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2025 | AAAI | Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs. | Junjie Huang, Jiarui Qin, Yong Yu, Weinan Zhang |
| 2025 | AAAI | Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation. | Yiwei Shi, Muning Wen, Qi Zhang, Weinan Zhang, Cunjia Liu, Weiru Liu |
| 2025 | ACL | Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning. | Jiachen Zhu, Congmin Zheng, Jianghao Lin, Kounianhua Du, Ying Wen, Yong Yu, Jun Wang, Weinan Zhang |
| 2025 | ACL | DebateCoder: Towards Collective Intelligence of LLMs via Test Case Driven LLM Debate for Code Generation. | Jizheng Chen, Kounianhua Du, Xinyi Dai, Weiming Zhang, Xihuai Wang, Yasheng Wang, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2025 | ACL | Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation. | Kounianhua Du, Hanjing Wang, Jianxing Liu, Jizheng Chen, Xinyi Dai, Yasheng Wang, Ruiming Tang, Yong Yu, Jun Wang, Weinan Zhang |
| 2025 | ACL | CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation. | Qingyao Li, Xinyi Dai, Xiangyang Li, Weinan Zhang, Yasheng Wang, Ruiming Tang, Yong Yu |
| 2025 | ACL | HammerBench: Fine-Grained Function-Calling Evaluation in Real Mobile Assistant Scenarios. | Jun Wang, Jiamu Zhou, Xihuai Wang, Xiaoyun Mo, Haoyu Zhang, Qiqiang Lin, Jincheng Jincheng, Muning Wen, Weinan Zhang, Qiuying Peng |
| 2025 | ACL | Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI Collaboration. | Shao Zhang, Xihuai Wang, Wenhao Zhang, Chaoran Li, Junru Song, Tingyu Li, Lin Qiu, Xuezhi Cao, Xunliang Cai, Wen Yao, Weinan Zhang, Xinbing Wang, Ying Wen |
| 2025 | APWEB | A Retrieval-Enhanced Click Model for Web Search. | Yao Li, Jianghao Lin, Weiwen Liu, Weinan Zhang |
| 2025 | APWEB | Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System. | Lei Zheng, Ning Li, Chengguang Gan, Yong Yu, Weinan Zhang |
| 2025 | CIKM | LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis. | Weiming Zhang, Lingyue Fu, Qingyao Li, Kounianhua Du, Jianghao Lin, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu |
| 2025 | ECAI | Diversity-Aware Self-Paced Data Selection for LLM Fine-Tuning. | Yingxuan Yang, Huayi Wang, Muning Wen, Xiaoyun Mo, Qiuying Peng, Jun Wang, Weinan Zhang |
| 2025 | EMNLP | Nullspace Disentanglement for Red Teaming Language Models. | Yi Han, Yuanxing Liu, Weinan Zhang, Ting Liu |
| 2025 | EMNLP | RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation. | Qingyao Li, Wei Xia, Xinyi Dai, Kounianhua Du, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2025 | EMNLP | Stimulate the Critical Thinking of LLMs via Debiasing Discussion. | Ruiyu Xiao, Lei Wu, Yuanxing Liu, Weinan Zhang, Ting Liu |
| 2025 | EMNLP | NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging. | Weiming Zhang, Qingyao Li, Xinyi Dai, Jizheng Chen, Kounianhua Du, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2025 | ICLR | Reconstruction-Guided Policy: Enhancing Decision-Making through Agent-Wise State Consistency. | Qifan Liang, Yixiang Shan, Haipeng Liu, Zhengbang Zhu, Ting Long, Weinan Zhang, Yuan Tian |
| 2025 | ICLR | Robust Function-Calling for On-Device Language Model via Function Masking. | Qiqiang Lin, Muning Wen, Qiuying Peng, Guanyu Nie, Junwei Liao, Jun Wang, Xiaoyun Mo, Jiamu Zhou, Cheng Cheng, Yin Zhao, Jun Wang, Weinan Zhang |
| 2025 | ICLR | ContraDiff: Planning Towards High Return States via Contrastive Learning. | Yixiang Shan, Zhengbang Zhu, Ting Long, Qifan Liang, Yi Chang, Weinan Zhang, Liang Yin |
| 2025 | ICML | Large Language Models are Demonstration Pre-Selectors for Themselves. | Jiarui Jin, Yuwei Wu, Haoxuan Li, Xiaoting He, Weinan Zhang, Yiming Yang, Yong Yu, Jun Wang, Mengyue Yang |
| 2025 | ICML | Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport. | Mingyang Sun, Pengxiang Ding, Weinan Zhang, Donglin Wang |
| 2025 | IJCAI | Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition. | Dongxie Wen, Xiao Zhang, Zhewei Wei, Chenping Hou, Shuai Li, Weinan Zhang |
| 2025 | IJCNN | Offline Model-based Optimization with Fisher Divergence Regularization. | Mingcheng Chen, Minkai Xu, Yichen Zhu, Haoran Zhao, Weinan Zhang, Yong Yu |
| 2025 | IJCNN | SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging. | Zijun Chen, Zhanpeng Zhou, Bo Zhang, Weinan Zhang, Xi Sun, Junchi Yan |
| 2025 | ICRA | World Model-Based Perception for Visual Legged Locomotion. | Hang Lai, Jiahang Cao, Jiafeng Xu, Hongtao Wu, Yunfeng Lin, Tao Kong, Yong Yu, Weinan Zhang |
| 2025 | IJCNN | CECAT: Certainty-Guaranteed Environment for Computerized Adaptive Testing. | Jingwei Yu, Zhenyu Mu, Weiwen Liu, Ting Long, Weiming Zhang, Weinan Zhang, Yong Yu |
| 2025 | IJCNN | IECAT: an Individualized High-Efficiency Ability Assessment for Computerized Adaptive Testing. | Jingwei Yu, Zhenyu Mu, Weiwen Liu, Hangyu Wang, Ting Long, Weinan Zhang, Yong Yu |
| 2025 | IROS | LoopSR: Looping Sim-and-Real for Lifelong Policy Adaptation of Legged Robots. | Peilin Wu, Weiji Xie, Jiahang Cao, Hang Lai, Weinan Zhang |
| 2025 | IROS | Humanoid Whole-Body Locomotion on Narrow Terrain via Dynamic Balance and Reinforcement Learning. | Weiji Xie, Chenjia Bai, Jiyuan Shi, Junkai Yang, Yunfei Ge, Weinan Zhang, Xuelong Li |
| 2025 | IROS | DriveGen: Towards Infinite Diverse Traffic Scenarios with Large Models. | Shenyu Zhang, Jiaguo Tian, Zhengbang Zhu, Shan Huang, Jucheng Yang, Weinan Zhang |
| 2025 | KDD | Why Not Together? A Multiple-Round Recommender System for Queries and Items. | Jiarui Jin, Xianyu Chen, Weinan Zhang, Yong Yu, Jun Wang |
| 2025 | KDD | Diffusion Models for Recommender Systems: From Content Distribution To Content Creation. | Jianghao Lin, Yang Cao, Yong Yu, Weinan Zhang |
| 2025 | KDD | An Automatic Graph Construction Framework based on Large Language Models for Recommendation. | Rong Shan, Jianghao Lin, Chenxu Zhu, Bo Chen, Menghui Zhu, Kangning Zhang, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2025 | KDD | Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models. | Yunjia Xi, Muyan Weng, Wen Chen, Chao Yi, Dian Chen, Gaoyang Guo, Mao Zhang, Jian Wu, Yuning Jiang, Qingwen Liu, Yong Yu, Weinan Zhang |
| 2025 | WWW | Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations. | Junjie Huang, Jiarui Qin, Jianghao Lin, Ziming Feng, Weinan Zhang, Yong Yu |
| 2025 | WWW | D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems. | Jiarui Qin, Weiwen Liu, Weinan Zhang, Yong Yu |
| 2025 | SIGIR | AgentIR: 2nd Workshop on Agent-based Information Retrieval. | Pengyue Jia, Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang |
| 2025 | SIGIR | Action First: Leveraging Preference-Aware Actions for More Effective Decision-Making in Interactive Recommender Systems. | Renting Rui, Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2025 | SIGIR | Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding. | Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Zhewei Wei, Weinan Zhang, Yong Yu |
| 2024 | ACL | Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models. | Mingda Li, Xinyu Li, Yifan Chen, Wenfeng Xuan, Weinan Zhang |
| 2024 | CIKM | AlignRec: Aligning and Training in Multimodal Recommendations. | Yifan Liu, Kangning Zhang, Xiangyuan Ren, Yanhua Huang, Jiarui Jin, Yingjie Qin, Ruilong Su, Ruiwen Xu, Yong Yu, Weinan Zhang |
| 2024 | CIKM | ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation. | Jizheng Chen, Kounianhua Du, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2024 | CIKM | SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model. | Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu |
| 2024 | CIKM | MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models. | Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2024 | CIKM | ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction. | Yanlin Zhang, Ning Li, Quan Gan, Weinan Zhang, David Wipf, Minjie Wang |
| 2024 | CoRL | OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning. | Tairan He, Zhengyi Luo, Xialin He, Wenli Xiao, Chong Zhang, Weinan Zhang, Kris M. Kitani, Changliu Liu, Guanya Shi |
| 2024 | CoRL | Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective. | Haoran He, Peilin Wu, Chenjia Bai, Hang Lai, Lingxiao Wang, Ling Pan, Xiaolin Hu, Weinan Zhang |
| 2024 | CoRL | GenSim2: Scaling Robot Data Generation with Multi-modal and Reasoning LLMs. | Pu Hua, Minghuan Liu, Annabella Macaluso, Yunfeng Lin, Weinan Zhang, Huazhe Xu, Lirui Wang |
| 2024 | EMNLP | Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation. | Ruiyu Xiao, Lei Wu, Yuhang Gou, Weinan Zhang, Ting Liu |
| 2024 | ICANN | Invariant Graph Contrastive Learning for Mitigating Neighborhood Bias in Graph Neural Network Based Recommender Systems. | Zhenyu Mu, Jianghao Lin, Xiaoyu Zhu, Weinan Zhang, Yong Yu |
| 2024 | ICLR | Vision-Language Foundation Models as Effective Robot Imitators. | Xinghang Li, Minghuan Liu, Hanbo Zhang, Cunjun Yu, Jie Xu, Hongtao Wu, Chilam Cheang, Ya Jing, Weinan Zhang, Huaping Liu, Hang Li, Tao Kong |
| 2024 | ICLR | ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update. | Liyuan Mao, Haoran Xu, Weinan Zhang, Xianyuan Zhan |
| 2024 | ICML | DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching. | Guanghe Li, Yixiang Shan, Zhengbang Zhu, Ting Long, Weinan Zhang |
| 2024 | ICML | AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training. | Ziyu Wan, Xidong Feng, Muning Wen, Stephen Marcus McAleer, Ying Wen, Weinan Zhang, Jun Wang |
| 2024 | ICONIP | Adaptive Retrieval-Based Gradient Planning for Offline Multi-context Model-Based Optimization. | Haoran Zhao, Mingcheng Chen, Weinan Zhang, Yong Yu |
| 2024 | KDD | DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation. | Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang |
| 2024 | PAKDD | Multi-sourced Integrated Ranking with Exposure Fairness. | Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu |
| 2024 | RecSys | FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction. | Hangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2024 | RecSys | Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. | Yunjia Xi, Weiwen Liu, Jianghao Lin, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2024 | WWW | HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning. | Yifan Liu, Wei Xia, Weiwen Liu, Menghui Zhu, Weinan Zhang, Ruiming Tang, Yong Yu |
| 2024 | WWW | Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data. | Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2024 | WWW | InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. | Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley |
| 2024 | WWW | ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction. | Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2024 | WWW | ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation. | Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2024 | WWW | M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation. | Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2024 | SIGIR | AgentIR: 1st Workshop on Agent-based Information Retrieval. | Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang |
| 2024 | SIGIR | TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision. | Ruiwen Zhou, Yingxuan Yang, Muning Wen, Ying Wen, Wenhao Wang, Chunling Xi, Guoqiang Xu, Yong Yu, Weinan Zhang |
| 2024 | VLDB | GFS: Graph-based Feature Synthesis for Prediction over Relational Databases. | Han Zhang, Quan Gan, David Wipf, Weinan Zhang |
| 2024 | VLDB | 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs. | Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang |
| 2024 | WSDM | K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization. | Cheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Yi Xu, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin, Junxian He |
| 2023 | AAAI | Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation. | Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu |
| 2023 | AAAI | Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. | Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li |
| 2023 | ACL | I run as fast as a rabbit, can you? A Multilingual Simile Dialogues Datasets. | Longxuan Ma, Weinan Zhang, Shuhan Zhou, Churui Sun, Changxin Ke, Ting Liu |
| 2023 | CIKM | DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval. | Xin Xin, Xiangyu Zhao, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang |
| 2023 | CIKM | Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. | Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang |
| 2023 | CIKM | Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation. | Qingyao Li, Wei Xia, Li'ang Yin, Jian Shen, Renting Rui, Weinan Zhang, Xianyu Chen, Ruiming Tang, Yong Yu |
| 2023 | CIKM | Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising. | Weitong Ou, Bo Chen, Weiwen Liu, Xinyi Dai, Weinan Zhang, Wei Xia, Xuan Li, Ruiming Tang, Yong Yu |
| 2023 | EMNLP | Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue. | Yuanxing Liu, Weinan Zhang, Yifan Chen, Yuchi Zhang, Haopeng Bai, Fan Feng, Hengbin Cui, Yongbin Li, Wanxiang Che |
| 2023 | EMNLP | Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements. | Yushan Qian, Weinan Zhang, Ting Liu |
| 2023 | ICASSP | Text Classification In The Wild: A Large-Scale Long-Tailed Name Normalization Dataset. | Jiexing Qi, Shuhao Li, Zhixin Guo, Yusheng Huang, Chenghu Zhou, Weinan Zhang, Xinbing Wang, Zhouhan Lin |
| 2023 | ICDE | Personalized Diversification for Neural Re-ranking in Recommendation. | Weiwen Liu, Yunjia Xi, Jiarui Qin, Xinyi Dai, Ruiming Tang, Shuai Li, Weinan Zhang, Rui Zhang |
| 2023 | ICLR | Visual Imitation Learning with Patch Rewards. | Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu |
| 2023 | ICLR | Order Matters: Agent-by-agent Policy Optimization. | Xihuai Wang, Zheng Tian, Ziyu Wan, Ying Wen, Jun Wang, Weinan Zhang |
| 2023 | ICML | GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. | Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai |
| 2023 | IJCAI | Large Decision Models. | Weinan Zhang |
| 2023 | ICRA | Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer. | Hang Lai, Weinan Zhang, Xialin He, Chen Yu, Zheng Tian, Yong Yu, Jun Wang |
| 2023 | ICRA | Multi-embodiment Legged Robot Control as a Sequence Modeling Problem. | Chen Yu, Weinan Zhang, Hang Lai, Zheng Tian, Laurent Kneip, Jun Wang |
| 2023 | KDD | MetricPrompt: Prompting Model as a Relevance Metric for Few-shot Text Classification. | Hongyuan Dong, Weinan Zhang, Wanxiang Che |
| 2023 | KDD | Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. | Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu |
| 2023 | KDD | MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. | Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2023 | KDD | Deep Landscape Forecasting in Multi-Slot Real-Time Bidding. | Weitong Ou, Bo Chen, Yingxuan Yang, Xinyi Dai, Weiwen Liu, Weinan Zhang, Ruiming Tang, Yong Yu |
| 2023 | KDD | GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing. | Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu |
| 2023 | KDD | On-device Integrated Re-ranking with Heterogeneous Behavior Modeling. | Yunjia Xi, Weiwen Liu, Yang Wang, Ruiming Tang, Weinan Zhang, Yue Zhu, Rui Zhang, Yong Yu |
| 2023 | KDD | Specify Robust Causal Representation from Mixed Observations. | Mengyue Yang, Xinyu Cai, Furui Liu, Weinan Zhang, Jun Wang |
| 2023 | KDD | Dense Representation Learning and Retrieval for Tabular Data Prediction. | Lei Zheng, Ning Li, Xianyu Chen, Quan Gan, Weinan Zhang |
| 2023 | KDD | ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop. | Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang |
| 2023 | KDD | A Feature-Based Coalition Game Framework with Privileged Knowledge Transfer for User-tag Profile Modeling. | Xianghui Zhu, Peng Du, Shuo Shao, Chenxu Zhu, Weinan Zhang, Yang Wang, Yang Cao |
| 2023 | RecSys | International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023. | Ruiming Tang, Xiaoqiang Zhu, Junfeng Ge, Kuang-chih Lee, Biye Jiang, Xingxing Wang, Han Zhu, Tao Zhuang, Weiwen Liu, Kan Ren, Weinan Zhang, Xiangyu Zhao |
| 2023 | WWW | Integrated Ranking for News Feed with Reinforcement Learning. | Menghui Zhu, Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang, Weinan Zhang |
| 2023 | SIGIR | U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation. | Yuanxing Liu, Weinan Zhang, Baohua Dong, Yan Fan, Hang Wang, Fan Feng, Yifan Chen, Ziyu Zhuang, Hengbin Cui, Yongbin Li, Wanxiang Che |
| 2023 | WSDM | An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages. | Lingyue Fu, Jianghao Lin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu |
| 2023 | WSDM | Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation. | Jiarui Qin, Jiachen Zhu, Yankai Liu, Junchao Gao, Jianjie Ying, Chaoxiong Liu, Ding Wang, Junlan Feng, Chao Deng, Xiaozheng Wang, Jian Jiang, Cong Liu, Yong Yu, Haitao Zeng, Weinan Zhang |
| 2023 | WSDM | A Bird's-eye View of Reranking: From List Level to Page Level. | Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu |
| 2023 | WSDM | AutoGen: An Automated Dynamic Model Generation Framework for Recommender System. | Chenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang |
| 2022 | AAAI | Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection. | Ting Long, Yutong Xie, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu |
| 2022 | ACL | CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment. | Haoyu Song, Li Dong, Weinan Zhang, Ting Liu, Furu Wei |
| 2022 | ACL | Nested Named Entity Recognition with Span-level Graphs. | Juncheng Wan, Dongyu Ru, Weinan Zhang, Yong Yu |
| 2022 | AISTATS | Towards Return Parity in Markov Decision Processes. | Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao |
| 2022 | CIKM | Multi-Scale User Behavior Network for Entire Space Multi-Task Learning. | Jiarui Jin, Xianyu Chen, Weinan Zhang, Yuanbo Chen, Zaifan Jiang, Zekun Zhu, Zhewen Su, Yong Yu |
| 2022 | COLING | SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation. | Longxuan Ma, Ziyu Zhuang, Weinan Zhang, Mingda Li, Ting Liu |
| 2022 | COLING | PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation. | Juncheng Wan, Jian Yang, Shuming Ma, Dongdong Zhang, Weinan Zhang, Yong Yu, Zhoujun Li |
| 2022 | EDM | Automatical Graph-based Knowledge Tracing. | Ting Long, Yunfei Liu, Weinan Zhang, Wei Xia, Zhicheng He, Ruiming Tang, Yong Yu |
| 2022 | ICLR | Inductive Relation Prediction Using Analogy Subgraph Embeddings. | Jiarui Jin, Yangkun Wang, Kounianhua Du, Weinan Zhang, Zheng Zhang, David Wipf, Yong Yu, Quan Gan |
| 2022 | ICLR | Why Propagate Alone? Parallel Use of Labels and Features on Graphs. | Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf |
| 2022 | ICML | Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. | Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang |
| 2022 | ICONIP | Heterogeneous Graph Representation for Knowledge Tracing. | Jisen Chen, Jian Shen, Ting Long, Liping Shen, Weinan Zhang, Yong Yu |
| 2022 | ICONIP | Aggregating Intra-class and Inter-class Information for Multi-label Text Classification. | Xianze Wu, Dongyu Ru, Weinan Zhang, Yong Yu, Ziming Feng |
| 2022 | IJCAI | Neural Re-ranking in Multi-stage Recommender Systems: A Review. | Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang |
| 2022 | IJCAI | Goal-Conditioned Reinforcement Learning: Problems and Solutions. | Minghuan Liu, Menghui Zhu, Weinan Zhang |
| 2022 | IJCAI | Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. | Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li |
| 2022 | ICRA | Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration. | Jiayu Miao, Tianze Zhou, Kun Shao, Ming Zhou, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang |
| 2022 | KDD | Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer. | Bin Lu, Xiaoying Gan, Weinan Zhang, Huaxiu Yao, Luoyi Fu, Xinbing Wang |
| 2022 | KDD | Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation. | Bin Lu, Xiaoying Gan, Lina Yang, Weinan Zhang, Luoyi Fu, Xinbing Wang |
| 2022 | KDD | 4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. | Roberto Corizzo, Junfeng Ge, Colin Bellinger, Xiaoqiang Zhu, Paula Branco, Kuang-chih Lee, Nathalie Japkowicz, Ruiming Tang, Tao Zhuang, Han Zhu, Biye Jiang, Jiaxin Mao, Weinan Zhang |
| 2022 | KDD | Retrieval-Based Gradient Boosting Decision Trees for Disease Risk Assessment. | Handong Ma, Jiahang Cao, Yuchen Fang, Weinan Zhang, Wenbo Sheng, Shaodian Zhang, Yong Yu |
| 2022 | KDD | Combo-Fashion: Fashion Clothes Matching CTR Prediction with Item History. | Chenxu Zhu, Peng Du, Weinan Zhang, Yong Yu, Yang Cao |
| 2022 | KDD | User-tag Profile Modeling in Recommendation System via Contrast Weighted Tag Masking. | Chenxu Zhu, Peng Du, Xianghui Zhu, Weinan Zhang, Yong Yu, Yang Cao |
| 2022 | WWW | Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data. | Jiarui Jin, Xianyu Chen, Weinan Zhang, Junjie Huang, Ziming Feng, Yong Yu |
| 2022 | WWW | Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation. | Jiarui Jin, Xianyu Chen, Yuanbo Chen, Weinan Zhang, Renting Rui, Zaifan Jiang, Zhewen Su, Yong Yu |
| 2022 | SIGIR | Neural Statistics for Click-Through Rate Prediction. | Yanhua Huang, Hangyu Wang, Yiyun Miao, Ruiwen Xu, Lei Zhang, Weinan Zhang |
| 2022 | SIGIR | RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows. | Jiarui Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu, Weinan Zhang |
| 2022 | SIGIR | Multi-Level Interaction Reranking with User Behavior History. | Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu |
| 2022 | SIGIR | DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval. | Xiangyu Zhao, Xin Xin, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang |
| 2022 | WSDM | Improving Knowledge Tracing with Collaborative Information. | Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu |
| 2021 | AAAI | Data-Driven Multimodal Patrol Planning for Anti-poaching. | Weizhe Chen, Weinan Zhang, Duo Liu, Weiping Li, Xiaojun Shi, Fei Fang |
| 2021 | AAAI | Universal Trading for Order Execution with Oracle Policy Distillation. | Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu |
| 2021 | ACL | Glancing Transformer for Non-Autoregressive Neural Machine Translation. | Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei Li |
| 2021 | ACL | What Did You Refer to? Evaluating Co-References in Dialogue. | Weinan Zhang, Yue Zhang, Hanlin Tang, Zhengyu Zhao, Caihai Zhu, Ting Liu |
| 2021 | AISTATS | Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings. | Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf |
| 2021 | CIKM | GAKG: A Multimodal Geoscience Academic Knowledge Graph. | Cheng Deng, Yuting Jia, Hui Xu, Chong Zhang, Jingyao Tang, Luoyi Fu, Weinan Zhang, Haisong Zhang, Xinbing Wang, Chenghu Zhou |
| 2021 | CIKM | LiteratureQA: A Qestion Answering Corpus with Graph Knowledge on Academic Literature. | Haiwen Wang, Le Zhou, Weinan Zhang, Xinbing Wang |
| 2021 | EMNLP | Learning Logic Rules for Document-Level Relation Extraction. | Dongyu Ru, Changzhi Sun, Jiangtao Feng, Lin Qiu, Hao Zhou, Weinan Zhang, Yong Yu, Lei Li |
| 2021 | ICLR | MARS: Markov Molecular Sampling for Multi-objective Drug Discovery. | Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li |
| 2021 | IJCAI | Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts. | Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou |
| 2021 | IJCAI | Deep Learning for Click-Through Rate Estimation. | Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He |
| 2021 | IJCAI | MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. | Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang |
| 2021 | KDD | Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction. | Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Weiwei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning |
| 2021 | KDD | An Embedding Learning Framework for Numerical Features in CTR Prediction. | Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, Xiuqiang He |
| 2021 | KDD | Retrieval & Interaction Machine for Tabular Data Prediction. | Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu |
| 2021 | KDD | 3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021. | Xiaoqiang Zhu, Kuang-chih Lee, Guorui Zhou, Biye Jiang, Zhe Wang, Ruiming Tang, Kan Ren, Qingyao Ai, Weinan Zhang |
| 2021 | WWW | An Adversarial Imitation Click Model for Information Retrieval. | Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu |
| 2021 | SIGIR | DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval. | Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang |
| 2021 | SIGIR | A Graph-Enhanced Click Model for Web Search. | Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu |
| 2021 | SIGIR | Tracing Knowledge State with Individual Cognition and Acquisition Estimation. | Ting Long, Yunfei Liu, Jian Shen, Weinan Zhang, Yong Yu |
| 2020 | AAAI | Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning. | Haiwen Wang, Ruijie Wang, Chuan Wen, Shuhao Li, Yuting Jia, Weinan Zhang, Xinbing Wang |
| 2020 | AAAI | Towards Making the Most of BERT in Neural Machine Translation. | Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Weinan Zhang, Yong Yu, Lei Li |
| 2020 | AAAI | Bi-Level Actor-Critic for Multi-Agent Coordination. | Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang |
| 2020 | ACL | Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation. | Haoyu Song, Yan Wang, Weinan Zhang, Xiaojiang Liu, Ting Liu |
| 2020 | AISTATS | Efficient Spectrum-Revealing CUR Matrix Decomposition. | Cheng Chen, Ming Gu, Zhihua Zhang, Weinan Zhang, Yong Yu |
| 2020 | CIKM | U-rank: Utility-oriented Learning to Rank with Implicit Feedback. | Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu |
| 2020 | CIKM | Learning to Infer User Hidden States for Online Sequential Advertising. | Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai |
| 2020 | CIKM | GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. | Huichu Zhang, Chang Liu, Weinan Zhang, Guanjie Zheng, Yong Yu |
| 2020 | CoRL | SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. | Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat M. Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander I. Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang |
| 2020 | ECAI | Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. | Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu |
| 2020 | EMNLP | Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space. | Dongyu Ru, Jiangtao Feng, Lin Qiu, Hao Zhou, Mingxuan Wang, Weinan Zhang, Yong Yu, Lei Li |
| 2020 | ICLR | Multi-Agent Interactions Modeling with Correlated Policies. | Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu |
| 2020 | ICLR | GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. | Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang |
| 2020 | ICML | Bidirectional Model-based Policy Optimization. | Hang Lai, Jian Shen, Weinan Zhang, Yong Yu |
| 2020 | ICML | Multi-Agent Determinantal Q-Learning. | Yaodong Yang, Ying Wen, Jun Wang, Liheng Chen, Kun Shao, David Mguni, Weinan Zhang |
| 2020 | IJCAI | Efficient and Robust High-Dimensional Linear Contextual Bandits. | Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu, Yijiang Lian |
| 2020 | IJCAI | DropNAS: Grouped Operation Dropout for Differentiable Architecture Search. | Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu |
| 2020 | IJCAI | Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder. | Li'ang Yin, Yunfei Liu, Weinan Zhang, Yong Yu |
| 2020 | KDD | An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph. | Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola |
| 2020 | KDD | AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction. | Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu |
| 2020 | SIGIR | Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances. | Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang, Alex Beutel |
| 2020 | SIGIR | A Deep Recurrent Survival Model for Unbiased Ranking. | Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai |
| 2020 | SIGIR | User Behavior Retrieval for Click-Through Rate Prediction. | Jiarui Qin, Weinan Zhang, Xin Wu, Jiarui Jin, Yuchen Fang, Yong Yu |
| 2020 | SIGIR | QuAChIE: Question Answering based Chinese Information Extraction System. | Dongyu Ru, Zhenghui Wang, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu |
| 2020 | SIGIR | TADS: Learning Time-Aware Scheduling Policy with Dyna-Style Planning for Spaced Repetition. | Zhengyu Yang, Jian Shen, Yunfei Liu, Yang Yang, Weinan Zhang, Yong Yu |
| 2020 | SIGIR | Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. | Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu |
| 2020 | WSDM | Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling. | Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu |
| 2019 | AAAI | Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient. | Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu |
| 2019 | AAAI | Academic Reader: An Interactive Question Answering System on Academic Literatures. | Yining Hong, Jialu Wang, Yuting Jia, Weinan Zhang, Xinbing Wang |
| 2019 | AAAI | Deep Recurrent Survival Analysis. | Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu |
| 2019 | AAAI | A Neural Network Approach to Verb Phrase Ellipsis Resolution. | Weinan Zhang, Yue Zhang, Yuanxing Liu, Donglin Di, Ting Liu |
| 2019 | ACL | Dynamically Fused Graph Network for Multi-hop Reasoning. | Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu |
| 2019 | ACL | Retrieval-Enhanced Adversarial Training for Neural Response Generation. | Qingfu Zhu, Lei Cui, Weinan Zhang, Furu Wei, Ting Liu |
| 2019 | CIKM | CIKM 2019 Workshop on Artificial Intelligence in Transportation (AI in transportation). | Weinan Zhang, Haiming Jin, Lingyu Zhang, Hongtu Zhu, Zhenhui Jessie Li, Jieping Ye |
| 2019 | CIKM | Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds. | Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai |
| 2019 | CIKM | CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. | Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei (Tony) Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye |
| 2019 | CIKM | Learning Adaptive Display Exposure for Real-Time Advertising. | Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai |
| 2019 | CIKM | CoLight: Learning Network-level Cooperation for Traffic Signal Control. | Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li |
| 2019 | CIKM | Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching. | Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei (Tony) Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye |
| 2019 | CoNLL | TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. | Wentao Ma, Yiming Cui, Nan Shao, Su He, Weinan Zhang, Ting Liu, Shijin Wang, Guoping Hu |
| 2019 | EMNLP | Exploring Diverse Expressions for Paraphrase Generation. | Lihua Qian, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu |
| 2019 | ICLR | AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods. | Zhiming Zhou, Qingru Zhang, Guansong Lu, Hongwei Wang, Weinan Zhang, Yong Yu |
| 2019 | ICML | CoT: Cooperative Training for Generative Modeling of Discrete Data. | Sidi Lu, Lantao Yu, Siyuan Feng, Yaoming Zhu, Weinan Zhang |
| 2019 | ICML | Lipschitz Generative Adversarial Nets. | Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang |
| 2019 | IJCAI | Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space. | Zhou Fan, Rui Su, Weinan Zhang, Yong Yu |
| 2019 | IJCAI | Exploiting Persona Information for Diverse Generation of Conversational Responses. | Haoyu Song, Weinan Zhang, Yiming Cui, Dong Wang, Ting Liu |
| 2019 | KDD | TrajGuard: A Comprehensive Trajectory Copyright Protection Scheme. | Zheyi Pan, Jie Bao, Weinan Zhang, Yong Yu, Yu Zheng |
| 2019 | KDD | Deep Landscape Forecasting for Real-time Bidding Advertising. | Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Yong Yu |
| 2019 | WWW | Sampled in Pairs and Driven by Text: A New Graph Embedding Framework. | Liheng Chen, Yanru Qu, Zhenghui Wang, Lin Qiu, Weinan Zhang, Ken Chen, Shaodian Zhang, Yong Yu |
| 2019 | WWW | CommunityGAN: Community Detection with Generative Adversarial Nets. | Yuting Jia, Qinqin Zhang, Weinan Zhang, Xinbing Wang |
| 2019 | WWW | CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. | Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li |
| 2019 | SIGIR | Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. | Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai |
| 2019 | SIGIR | Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence. | Yaoming Zhu, Juncheng Wan, Zhiming Zhou, Liheng Chen, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu |
| 2018 | AAAI | Efficient Architecture Search by Network Transformation. | Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang |
| 2018 | AAAI | Neural Link Prediction over Aligned Networks. | Xuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu |
| 2018 | AAAI | Long Text Generation via Adversarial Training with Leaked Information. | Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, Jun Wang |
| 2018 | AAAI | A Neural Stochastic Volatility Model. | Rui Luo, Weinan Zhang, Xiaojun Xu, Jun Wang |
| 2018 | AAAI | Wasserstein Distance Guided Representation Learning for Domain Adaptation. | Jian Shen, Yanru Qu, Weinan Zhang, Yong Yu |
| 2018 | AAAI | GraphGAN: Graph Representation Learning With Generative Adversarial Nets. | Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo |
| 2018 | AAAI | Exploring Implicit Feedback for Open Domain Conversation Generation. | Weinan Zhang, Lingzhi Li, Dongyan Cao, Ting Liu |
| 2018 | AAAI | MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence. | Lianmin Zheng, Jiacheng Yang, Han Cai, Ming Zhou, Weinan Zhang, Jun Wang, Yong Yu |
| 2018 | ACL | Deep Reinforcement Learning for Chinese Zero Pronoun Resolution. | Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu, William Yang Wang |
| 2018 | CIKM | Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising. | Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Weinan Zhang |
| 2018 | CIKM | Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising. | Kan Ren, Yuchen Fang, Weinan Zhang, Shuhao Liu, Jiajun Li, Ya Zhang, Yong Yu, Jun Wang |
| 2018 | CIKM | AceKG: A Large-scale Knowledge Graph for Academic Data Mining. | Ruijie Wang, Yuchen Yan, Jialu Wang, Yuting Jia, Ye Zhang, Weinan Zhang, Xinbing Wang |
| 2018 | COLING | Zero Pronoun Resolution with Attention-based Neural Network. | Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu, William Yang Wang |
| 2018 | COLING | Context-Sensitive Generation of Open-Domain Conversational Responses. | Weinan Zhang, Yiming Cui, Yifa Wang, Qingfu Zhu, Lingzhi Li, Lianqiang Zhou, Ting Liu |
| 2018 | ICLR | Activation Maximization Generative Adversarial Nets. | Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu |
| 2018 | ICML | Path-Level Network Transformation for Efficient Architecture Search. | Han Cai, Jiacheng Yang, Weinan Zhang, Song Han, Yong Yu |
| 2018 | ICML | Mean Field Multi-Agent Reinforcement Learning. | Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang |
| 2018 | IJCAI | Learning to Design Games: Strategic Environments in Reinforcement Learning. | Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Yin Wen, Yong Yu, Wenxin Li |
| 2018 | ICTIR | On the Equilibrium of Query Reformulation and Document Retrieval. | Shihao Zou, Guanyu Tao, Jun Wang, Weinan Zhang, Dell Zhang |
| 2018 | NAACL | Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition. | Zhenghui Wang, Yanru Qu, Liheng Chen, Jian Shen, Weinan Zhang, Shaodian Zhang, Yimei Gao, Gen Gu, Ken Chen, Yong Yu |
| 2018 | SIGIR | Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances. | Weinan Zhang |
| 2018 | SIGIR | Texygen: A Benchmarking Platform for Text Generation Models. | Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Weinan Zhang, Jun Wang, Yong Yu |
| 2018 | UAI | f | Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Tat-Seng Chua, Joemon M. Jose |
| 2018 | SP | A Machine Learning Approach to Prevent Malicious Calls over Telephony Networks. | Huichen Li, Xiaojun Xu, Chang Liu, Teng Ren, Kun Wu, Xuezhi Cao, Weinan Zhang, Yong Yu, Dawn Song |
| 2018 | WSDM | Improving Negative Sampling for Word Representation using Self-embedded Features. | Long Chen, Fajie Yuan, Joemon M. Jose, Weinan Zhang |
| 2017 | AAAI | SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient. | Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu |
| 2017 | ACL | Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution. | Ting Liu, Yiming Cui, Qingyu Yin, Weinan Zhang, Shijin Wang, Guoping Hu |
| 2017 | ACL | Benben: A Chinese Intelligent Conversational Robot. | Weinan Zhang, Ting Liu, Bing Qin, Yu Zhang, Wanxiang Che, Yanyan Zhao, Xiao Ding |
| 2017 | CIKM | Content Recommendation by Noise Contrastive Transfer Learning of Feature Representation. | Yiyang Li, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang |
| 2017 | CIKM | Volume Ranking and Sequential Selection in Programmatic Display Advertising. | Yuxuan Song, Kan Ren, Han Cai, Weinan Zhang, Yong Yu |
| 2017 | EMNLP | Chinese Zero Pronoun Resolution with Deep Memory Network. | Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu |
| 2017 | IJCAI | Aggregating Crowd Wisdoms with Label-aware Autoencoders. | Li'ang Yin, Jianhua Han, Weinan Zhang, Yong Yu |
| 2017 | IJCAI | A Deep Neural Network for Chinese Zero Pronoun Resolution. | Qingyu Yin, Weinan Zhang, Yu Zhang, Ting Liu |
| 2017 | IUI | BoostFM: Boosted Factorization Machines for Top-N Feature-based Recommendation. | Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang |
| 2017 | KDD | Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration. | Xuejian Wang, Lantao Yu, Kan Ren, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang |
| 2017 | WWW | Cataloguing Treatments Discussed and Used in Online Autism Communities. | Shaodian Zhang, Tian Kang, Lin Qiu, Weinan Zhang, Yong Yu, Nomie Elhadad |
| 2017 | WWW | We Make Choices We Think are Going to Save Us: Debate and Stance Identification for Online Breast Cancer CAM Discussions. | Shaodian Zhang, Lin Qiu, Frank Chen, Weinan Zhang, Yong Yu, Nomie Elhadad |
| 2017 | SIGIR | IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models. | Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang |
| 2017 | WSDM | Real-Time Bidding by Reinforcement Learning in Display Advertising. | Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo |
| 2017 | WSDM | Managing Risk of Bidding in Display Advertising. | Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang |
| 2016 | AAAI | Collective Noise Contrastive Estimation for Policy Transfer Learning. | Weinan Zhang, Ulrich Paquet, Katja Hofmann |
| 2016 | CIKM | User Response Learning for Directly Optimizing Campaign Performance in Display Advertising. | Kan Ren, Weinan Zhang, Yifei Rong, Haifeng Zhang, Yong Yu, Jun Wang |
| 2016 | CIKM | LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates. | Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang |
| 2016 | ECIR | Real-Time Bidding Based Display Advertising: Mechanisms and Algorithms. | Jun Wang, Shuai Yuan, Weinan Zhang |
| 2016 | ECIR | Implicit Look-Alike Modelling in Display Ads - Transfer Collaborative Filtering to CTR Estimation. | Weinan Zhang, Lingxi Chen, Jun Wang |
| 2016 | ECIR | Deep Learning over Multi-field Categorical Data - - A Case Study on User Response Prediction. | Weinan Zhang, Tianming Du, Jun Wang |
| 2016 | ICDM | Product-Based Neural Networks for User Response Prediction. | Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang |
| 2016 | KDD | Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising. | Weinan Zhang, Tianxiong Zhou, Jun Wang, Jian Xu |
| 2016 | WISE | Optimizing Factorization Machines for Top-N Context-Aware Recommendations. | Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang |
| 2016 | WSDM | Feedback Control of Real-Time Display Advertising. | Weinan Zhang, Yifei Rong, Jun Wang, Tianchi Zhu, Xiaofan Wang |
| 2015 | AAAI | Exploring Key Concept Paraphrasing Based on Pivot Language Translation for Question Retrieval. | Weinan Zhang, Zhaoyan Ming, Yu Zhang, Ting Liu, Tat-Seng Chua |
| 2015 | KDD | Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails. | Weinan Zhang, Amr Ahmed, Jie Yang, Vanja Josifovski, Alexander J. Smola |
| 2015 | KDD | Statistical Arbitrage Mining for Display Advertising. | Weinan Zhang, Jun Wang |
| 2015 | RecSys | Risk-Hedged Venture Capital Investment Recommendation. | Xiaoxue Zhao, Weinan Zhang, Jun Wang |
| 2014 | KDD | Optimal real-time bidding for display advertising. | Weinan Zhang, Shuai Yuan, Jun Wang |
| 2013 | CIKM | An empirical study of top-n recommendation for venture finance. | Thomas Stone, Weinan Zhang, Xiaoxue Zhao |
| 2013 | CIKM | Interactive collaborative filtering. | Xiaoxue Zhao, Weinan Zhang, Jun Wang |
| 2013 | RecSys | To personalize or not: a risk management perspective. | Weinan Zhang, Jun Wang, Bowei Chen, Xiaoxue Zhao |
| 2013 | SIGIR | Optimizing top-n collaborative filtering via dynamic negative item sampling. | Weinan Zhang, Tianqi Chen, Jun Wang, Yong Yu |
| 2012 | APWEB | Feature Based Informative Model for Discriminating Favorite Items from Unrated Ones. | Bing Cheng, Tianqi Chen, Diyi Yang, Weinan Zhang, Yongqiang Wang, Yong Yu |
| 2012 | COLING | The Use of Dependency Relation Graph to Enhance the Term Weighting in Question Retrieval. | Weinan Zhang, Zhaoyan Ming, Yu Zhang, Liqiang Nie, Ting Liu, Tat-Seng Chua |
| 2012 | KDD | Joint optimization of bid and budget allocation in sponsored search. | Weinan Zhang, Ying Zhang, Bin Gao, Yong Yu, Xiaojie Yuan, Tie-Yan Liu |
| 2012 | RecSys | Local implicit feedback mining for music recommendation. | Diyi Yang, Tianqi Chen, Weinan Zhang, Qiuxia Lu, Yong Yu |
| 2012 | RecSys | A semantic approach to recommending text advertisements for images. | Weinan Zhang, Li Tian, Xinruo Sun, Haofen Wang, Yong Yu |
| 2012 | SIGIR | Collaborative filtering with short term preferences mining. | Diyi Yang, Tianqi Chen, Weinan Zhang, Yong Yu |