Guannan Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
44
Venues
24
Active years
2008–2026
Best venue rank
A*
Where they publish
- ACIKM6 papers
- A*SIGIR5 papers
- A*WWW4 papers
- AWSDM4 papers
- A*ICDE3 papers
- A*ACL2 papers
- ASC2 papers
- A*KDD2 papers
- BMMM1 paper
- CNPC1 paper
- A*AAAI1 paper
- BCCGRID1 paper
- BCOLING1 paper
- A*CVPR1 paper
- A*EMNLP1 paper
- ARecSys1 paper
- BICPADS1 paper
- A*IJCAI1 paper
- A*ECCV1 paper
- A*ICLR1 paper
- AAISTATS1 paper
- AUAI1 paper
- CAPSCC1 paper
- AICWS1 paper
Papers
44 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | PACE: Predictive Adaptive Context Extraction for Long-Horizon LLM Agents. | Lei Wei, Xiao Peng, TT, Guannan Zhang, Chenhao Jiang, Hongyu Li, Lanbo Lin, Yuanwu Xu, Jiayao Liu, Kesu Wang, Bin Wang |
| 2026 | MMM | U-Cker at VBS2026: A Web-Based Interactive Video Retrieval System with Multimodal Query Support. | Kazuya Ueki, Ryo Mutou, Takuya Wada, Ryota Akaba, Guannan Zhang |
| 2025 | ICDE | Effectively PAIRing LLMs with Online Marketing via Progressive Prompting Augmentation. | Chunjing Gan, Dan Yang, Binbin Hu, Ziqi Liu, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Guannan Zhang |
| 2025 | NPC | DPS: A Congestion-Aware Allreduce Job Placement for In-Network Aggregation. | Yanrong Hu, Guannan Zhang, Dezun Dong, Zihao Wei, Zhen Ruan |
| 2025 | WWW | SQLord: A Robust Enterprise Text-to-SQL Solution via Reverse Data Generation and Workflow Decomposition. | Song Cheng, Qiannan Cheng, Linbo Jin, Lei Yi, Guannan Zhang |
| 2024 | AAAI | MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts. | Zhitian Xie, Yinger Zhang, Chenyi Zhuang, Qitao Shi, Zhining Liu, Jinjie Gu, Guannan Zhang |
| 2024 | CCGRID | Power of Insensitivity: Fixing Threshold Truncation of Switch Buffer Management Policies. | Yuan Lu, Dinghuang Hu, Guannan Zhang, Jie Shen, Dezun Dong |
| 2024 | CIKM | Modeling User Intent Beyond Trigger: Incorporating Uncertainty for Trigger-Induced Recommendation. | Jianxing Ma, Zhibo Xiao, Luwei Yang, Hansheng Xue, Xuanzhou Liu, Wen Jiang, Wei Ning, Guannan Zhang |
| 2024 | COLING | Towards More Realistic Chinese Spell Checking with New Benchmark and Specialized Expert Model. | Yue Wang, Zilong Zheng, Juntao Li, Zhihui Liu, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Min Zhang |
| 2024 | CVPR | Towards Efficient Replay in Federated Incremental Learning. | Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang |
| 2024 | EMNLP | MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning. | Yufei Ma, Zihan Liang, Huangyu Dai, Ben Chen, Dehong Gao, Zhuoran Ran, Zihan Wang, Linbo Jin, Wen Jiang, Guannan Zhang, Xiaoyan Cai, Libin Yang |
| 2024 | RecSys | MLoRA: Multi-Domain Low-Rank Adaptive Network for CTR Prediction. | Zhiming Yang, Haining Gao, Dehong Gao, Luwei Yang, Libin Yang, Xiaoyan Cai, Wei Ning, Guannan Zhang |
| 2024 | WWW | Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search. | Songhao Wu, Quan Tu, Hong Liu, Jia Xu, Zhongyi Liu, Guannan Zhang, Ran Wang, Xiuying Chen, Rui Yan |
| 2024 | SIGIR | Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. | Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang, Chenliang Li, Fajie Yuan |
| 2024 | SC | A Scalable Training-Free Diffusion Model for Uncertainty Quantification. | Ali Haisam Muhammad Rafid, Junqi Yin, Yuwei Geng, Siming Liang, Feng Bao, Lili Ju, Guannan Zhang |
| 2024 | SC | A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics. | Junqi Yin, Siming Liang, Siyan Liu, Feng Bao, Hristo G. Chipilski, Dan Lu, Guannan Zhang |
| 2024 | WSDM | PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. | Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong |
| 2024 | WSDM | Multi-Intent Attribute-Aware Text Matching in Searching. | Mingzhe Li, Xiuying Chen, Jing Xiang, Qishen Zhang, Changsheng Ma, Chenchen Dai, Jinxiong Chang, Zhongyi Liu, Guannan Zhang |
| 2024 | WSDM | A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval. | Xiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng |
| 2023 | ACL | Towards Better Hierarchical Text Classification with Data Generation. | Yue Wang, Dan Qiao, Juntao Li, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Min Zhang |
| 2023 | CIKM | An Unified Search and Recommendation Foundation Model for Cold-Start Scenario. | Yuqi Gong, Xichen Ding, Yehui Su, Kaiming Shen, Zhongyi Liu, Guannan Zhang |
| 2023 | CIKM | Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation. | Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou, Guannan Zhang |
| 2023 | ICDE | GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. | Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou |
| 2023 | ICDE | Who Would be Interested in Services? An Entity Graph Learning System for User Targeting. | Dan Yang, Binbin Hu, Xiaoyan Yang, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang |
| 2023 | ICPADS | Rately: Accurate Data Center CC based on One-Way Delay. | Guannan Zhang, Dinghuang Hu, Dezun Dong |
| 2023 | IJCAI | GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System. | Xingyu Lu, Zhining Liu, Yanchu Guan, Hongxuan Zhang, Chenyi Zhuang, Wenqi Ma, Yize Tan, Jinjie Gu, Guannan Zhang |
| 2023 | KDD | Commonsense Knowledge Graph towards Super APP and Its Applications in Alipay. | Xiaoling Zang, Binbin Hu, Jun Chu, Zhiqiang Zhang, Guannan Zhang, Jun Zhou, Wenliang Zhong |
| 2023 | WWW | Beyond Two-Tower: Attribute Guided Representation Learning for Candidate Retrieval. | Hongyu Shan, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Chenliang Li |
| 2023 | WWW | Movie Ticket, Popcorn, and Another Movie Next Weekend: Time-Aware Service Sequential Recommendation for User Retention. | Xiaoyan Yang, Dong Wang, Binbin Hu, Dan Yang, Yue Shen, Jinjie Gu, Zhiqiang Zhang, Shiwei Lyu, Haipeng Zhang, Guannan Zhang |
| 2023 | SIGIR | Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems. | Tianchi Cai, Shenliao Bao, Jiyan Jiang, Shiji Zhou, Wenpeng Zhang, Lihong Gu, Jinjie Gu, Guannan Zhang |
| 2023 | SIGIR | Edge-cloud Collaborative Learning with Federated and Centralized Features. | Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu |
| 2023 | SIGIR | GreenSeq: Automatic Design of Green Networks for Sequential Recommendation Systems. | Yankun Ren, Xinxing Yang, Xingyu Lu, Longfei Li, Jun Zhou, Jinjie Gu, Guannan Zhang |
| 2023 | SIGIR | Connecting Unseen Domains: Cross-Domain Invariant Learning in Recommendation. | Yang Zhang, Yue Shen, Dong Wang, Jinjie Gu, Guannan Zhang |
| 2023 | WSDM | Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning. | Tianchi Cai, Jiyan Jiang, Wenpeng Zhang, Shiji Zhou, Xierui Song, Li Yu, Lihong Gu, Xiaodong Zeng, Jinjie Gu, Guannan Zhang |
| 2022 | CIKM | See Clicks Differently: Modeling User Clicking Alternatively with Multi Classifiers for CTR Prediction. | Shiwei Lyu, Hongbo Cai, Chaohe Zhang, Shuai Ling, Yue Shen, Xiaodong Zeng, Jinjie Gu, Guannan Zhang, Haipeng Zhang |
| 2022 | CIKM | Multiple Instance Learning for Uplift Modeling. | Yao Zhao, Haipeng Zhang, Shiwei Lyu, Ruiying Jiang, Jinjie Gu, Guannan Zhang |
| 2022 | ECCV | Exploiting the Local Parabolic Landscapes of Adversarial Losses to Accelerate Black-Box Adversarial Attack. | Hoang Tran, Dan Lu, Guannan Zhang |
| 2022 | ICLR | PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks. | Siyan Liu, Pei Zhang, Dan Lu, Guannan Zhang |
| 2021 | AISTATS | A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models. | Jiaxin Zhang, Sirui Bi, Guannan Zhang |
| 2021 | UAI | Enabling long-range exploration in minimization of multimodal functions. | Jiaxin Zhang, Hoang Tran, Dan Lu, Guannan Zhang |
| 2020 | CIKM | Two-Stage Audience Expansion for Financial Targeting in Marketing. | Zhining Liu, Xiao-Fan Niu, Chenyi Zhuang, Yize Tan, Yixiang Mu, Jinjie Gu, Guannan Zhang |
| 2020 | KDD | Hubble: An Industrial System for Audience Expansion in Mobile Marketing. | Chenyi Zhuang, Ziqi Liu, Zhiqiang Zhang, Yize Tan, Zhengwei Wu, Zhining Liu, Jianping Wei, Jinjie Gu, Guannan Zhang, Jun Zhou, Yuan Qi |
| 2008 | APSCC | A New Approach to Web Services Characterization. | Yan Liu, Mingguang Zhuang, Qingling Wang, Guannan Zhang |
| 2008 | ICWS | Services Characterization with Statistical Study on Existing Web Services. | Yan Liu, Mingguang Zhuang, Biao Yu, Guannan Zhang, Xiaojing Meng |