Bo Long
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
86
Venues
22
Active years
2005–2026
Best venue rank
A*
Where they publish
- A*KDD13 papers
- ACIKM12 papers
- A*SIGIR9 papers
- A*AAAI7 papers
- A*WWW6 papers
- CIGARSS6 papers
- AWSDM5 papers
- A*ICDM4 papers
- A*ACL3 papers
- A*ICLR3 papers
- A*ICDE3 papers
- A*ICML3 papers
- A*EMNLP2 papers
- CIECON2 papers
- AEACL1 paper
- ARecSys1 paper
- A*ECCV1 paper
- BIJCNLP1 paper
- AInterspeech1 paper
- CISCC1 paper
- ANAACL1 paper
- ASDM1 paper
Papers
86 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Learning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation. | Yu Song, Zhigang Hua, Yan Xie, Bingheng Li, Jingzhe Liu, Bo Long, Jiliang Tang, Hui Liu |
| 2026 | EACL | How to Make LMs Strong Node Classifiers? | Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong |
| 2025 | AAAI | A Scalable and Effective Alternative to Graph Transformers. | Kaan Sancak, Zhigang Hua, Jin Fang, Yan Xie, Andrey Malevich, Bo Long, Muhammed Fatih Balin, mit V. atalyrek |
| 2025 | ACL | The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit. | Huixue Zhou, Hengrui Gu, Zaifu Zhan, Xi Liu, Kaixiong Zhou, Yongkang Xiao, Mingfu Liang, Srinivas Prasad Govindan, Piyush Chawla, Jiyan Yang, Xiangfei Meng, Huayu Li, Buyun Zhang, Liang Luo, Wen-Yen Chen, Yiping Han, Bo Long, Rui Zhang, Tianlong Chen |
| 2025 | CIKM | InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. | Zhichen Zeng, Xiaolong Liu, Mengyue Hang, Xiaoyi Liu, Qinghai Zhou, Chaofei Yang, Yiqun Liu, Yichen Ruan, Laming Chen, Yuxin Chen, Yujia Hao, Jiaqi Xu, Jade Nie, Xi Liu, Buyun Zhang, Wei Wen, Siyang Yuan, Hang Yin, Xin Zhang, Kai Wang, Wen-Yen Chen, Yiping Han, Huayu Li, Chunzhi Yang, Bo Long, Philip S. Yu, Hanghang Tong, Jiyan Yang |
| 2025 | CIKM | GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning. | Yu Song, Zhigang Hua, Yan Xie, Jingzhe Liu, Bo Long, Hui Liu |
| 2025 | CIKM | Billion-Scale Graph Deep Learning Framework for Ads Recommendation. | Si Zhang, Weilin Cong, Dongqi Fu, Andrey Malevich, Hao Wu, Baichuan Yuan, Xin Zhou, Kaveh Hassani, Zhigang Hua, Austin Derrow-Pinion, Yan Xie, Xuewei Wang, Yinglong Xia, Ning Yao, Vena Jia Li, Sem Park, Bo Long |
| 2025 | ICLR | Learning Graph Quantized Tokenizers. | Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long |
| 2025 | KDD | A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation. | Yu Song, Zhigang Hua, Harry Shomer, Yan Xie, Jingzhe Liu, Bo Long, Hui Liu |
| 2025 | WWW | External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. | Mingfu Liang, Xi Liu, Rong Jin, Boyang Liu, Qiuling Suo, Qinghai Zhou, Song Zhou, Laming Chen, Hua Zheng, Zhiyuan Li, Shali Jiang, Jiyan Yang, Xiaozhen Xia, Fan Yang, Yasmine Badr, Ellie Wen, Shuyu Xu, Hansey Chen, Zhengyu Zhang, Jade Nie, Chunzhi Yang, Zhichen Zeng, Weilin Zhang, Xingliang Huang, Qianru Li, Shiquan Wang, Evelyn Lyu, Wenjing Lu, Rui Zhang, Wenjun Wang, Jason Rudy, Mengyue Hang, Kai Wang, Bo Long, Wenlin Chen, Santanu Kolay, Huayu Li |
| 2024 | ICLR | VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections. | Dongqi Fu, Zhigang Hua, Yan Xie, Jin Fang, Si Zhang, Kaan Sancak, Hao Wu, Andrey Malevich, Jingrui He, Bo Long |
| 2024 | IGARSS | Two-Stage Attitude Estimation of Satellite from ISAR Images. | Pengling Tang, Bo Long, Feng Wang |
| 2024 | RecSys | EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations. | Chiyu Zhang, Yifei Sun, Minghao Wu, Jun Chen, Jie Lei, Muhammad Abdul-Mageed, Rong Jin, Angli Liu, Ji Zhu, Sem Park, Ning Yao, Bo Long |
| 2023 | ICDE | Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce. | Juan Gong, Zhenlin Chen, Chaoyi Ma, Zhuojian Xiao, Haonan Wang, Guoyu Tang, Lin Liu, Sulong Xu, Bo Long, Yunjiang Jiang |
| 2023 | IGARSS | A Decision Fusion Framework for ISAR Images Recognition Based On Scattering Center and Zernike Moment. | Pengling Tang, Bo Long, Feng Wang |
| 2023 | IGARSS | RCS Statistical Feature Extraction for Space Target Recognition Based on Bi-LSTM. | Yanbing Wang, Bo Long, Feng Wang |
| 2023 | IGARSS | Reprogramming Acoustic Models for Space Target Recognition. | Xuan Wang, Bo Long, Feng Wang |
| 2023 | IGARSS | Parameter Retrieval of Attributed Scattering Center in Sar Image Using Reinforcement Learning. | Jiacheng Chen, Bo Long, Haipeng Wang |
| 2023 | IGARSS | Differentiable Voxel Reconstruction of Satellite Target from Multi-Station ISAR and Optical Image Sequence. | Bo Long, Feng Wang |
| 2023 | KDD | Contrastive Learning for User Sequence Representation in Personalized Product Search. | Shitong Dai, Jiongnan Liu, Zhicheng Dou, Haonan Wang, Lin Liu, Bo Long, Ji-Rong Wen |
| 2023 | WWW | Learning Multi-Stage Multi-Grained Semantic Embeddings for E-Commerce Search. | Binbin Wang, Mingming Li, Zhixiong Zeng, Jingwei Zhuo, Songlin Wang, Sulong Xu, Bo Long, Weipeng Yan |
| 2023 | WSDM | Meta Policy Learning for Cold-Start Conversational Recommendation. | Zhendong Chu, Hongning Wang, Yun Xiao, Bo Long, Lingfei Wu |
| 2022 | AAAI | Intelligent Online Selling Point Extraction for E-commerce Recommendation. | Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Jianchao Lu, Yun Xiao, Bo Long, Han Yu, Lingfei Wu |
| 2022 | AAAI | Reducing Flipping Errors in Deep Neural Networks. | Xiang Deng, Yun Xiao, Bo Long, Zhongfei Zhang |
| 2022 | AAAI | Automatic Product Copywriting for E-commerce. | Xueying Zhang, Yanyan Zou, Hainan Zhang, Jing Zhou, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Xueqi He, Yun Xiao, Bo Long, Han Yu, Lingfei Wu |
| 2022 | ACL | Feeding What You Need by Understanding What You Learned. | Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu |
| 2022 | CIKM | Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search. | Yiming Qiu, Chenyu Zhao, Han Zhang, Jingwei Zhuo, Tianhao Li, Xiaowei Zhang, Songlin Wang, Sulong Xu, Bo Long, Wen-Yun Yang |
| 2022 | ECCV | Context-Consistent Semantic Image Editing with Style-Preserved Modulation. | Wuyang Luo, Su Yang, Hong Wang, Bo Long, Weishan Zhang |
| 2022 | EMNLP | Automatic Scene-based Topic Channel Construction System for E-Commerce. | Peng Lin, Yanyan Zou, Lingfei Wu, Mian Ma, Zhuoye Ding, Bo Long |
| 2022 | ICLR | Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes. | Yunjiang Jiang, Han Zhang, Yiming Qiu, Yun Xiao, Bo Long, Wen-Yun Yang |
| 2022 | ICML | Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile. | Dong Chen, Lingfei Wu, Siliang Tang, Xiao Yun, Bo Long, Yueting Zhuang |
| 2022 | IJCNLP | Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph. | Hanning Gao, Lingfei Wu, Po Hu, Zhihua Wei, Fangli Xu, Bo Long |
| 2022 | Interspeech | Negative Guided Abstractive Dialogue Summarization. | Junpeng Liu, Yanyan Zou, Yuxuan Xi, Shengjie Li, Mian Ma, Zhuoye Ding, Bo Long |
| 2022 | ISCC | Lilac: Parallelizing Atomic Cross-Chain Swaps. | Donghui Ding, Bo Long, Feng Zhuo, Zhongcheng Li, Hanwen Zhang, Chen Tian, Yi Sun |
| 2022 | KDD | Automatic Controllable Product Copywriting for E-Commerce. | Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu |
| 2022 | KDD | Automatic Generation of Product-Image Sequence in E-commerce. | Xiaochuan Fan, Chi Zhang, Yong Yang, Yue Shang, Xueying Zhang, Zhen He, Yun Xiao, Bo Long, Lingfei Wu |
| 2022 | NAACL | From spoken dialogue to formal summary: An utterance rewriting for dialogue summarization. | Yue Fang, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Bo Long, Yanyan Lan, Yanquan Zhou |
| 2022 | WWW | Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation. | Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei |
| 2022 | WSDM | Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation. | Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long, Jian Pei |
| 2021 | CIKM | Sequential Search with Off-Policy Reinforcement Learning. | Dadong Miao, Yanan Wang, Guoyu Tang, Lin Liu, Sulong Xu, Bo Long, Yun Xiao, Lingfei Wu, Yunjiang Jiang |
| 2021 | EMNLP | Constructing contrastive samples via summarization for text classification with limited annotations. | Yangkai Du, Tengfei Ma, Lingfei Wu, Fangli Xu, Xuhong Zhang, Bo Long, Shouling Ji |
| 2021 | ICDE | Query Rewriting via Cycle-Consistent Translation for E-Commerce Search. | Yiming Qiu, Kang Zhang, Han Zhang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, Wen-Yun Yang |
| 2021 | WWW | AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems. | Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long |
| 2021 | SIGIR | SearchGCN: Powering Embedding Retrieval by Graph Convolution Networks for E-Commerce Search. | Xinlin Xia, Shang Wang, Han Zhang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, Wen-Yun Yang |
| 2021 | SIGIR | DSGPT: Domain-Specific Generative Pre-Training of Transformers for Text Generation in E-commerce Title and Review Summarization. | Xueying Zhang, Yunjiang Jiang, Yue Shang, Zhaomeng Cheng, Chi Zhang, Xiaochuan Fan, Yun Xiao, Bo Long |
| 2021 | SIGIR | Joint Learning of Deep Retrieval Model and Product Quantization based Embedding Index. | Han Zhang, Hongwei Shen, Yiming Qiu, Yunjiang Jiang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, Wen-Yun Yang |
| 2020 | CIKM | DeText: A Deep Text Ranking Framework with BERT. | Weiwei Guo, Xiaowei Liu, Sida Wang, Huiji Gao, Ananth Sankar, Zimeng Yang, Qi Guo, Liang Zhang, Bo Long, Bee-Chung Chen, Deepak Agarwal |
| 2020 | CIKM | Incorporating User Feedback into Sequence to Sequence Model Training. | Michaeel Kazi, Weiwei Guo, Huiji Gao, Bo Long |
| 2020 | CIKM | Efficient Neural Query Auto Completion. | Sida Wang, Weiwei Guo, Huiji Gao, Bo Long |
| 2020 | IECON | Novel Control Strategy based on Differential Flatness Theory and Model Predictive Control for Dual-Active-Bridge DC-DC converter. | Jingyao Hu, Bo Long, Pengfei Hu, Nanxi Liu |
| 2020 | IECON | Model Predictive Control for Dual-Active-Bridge Converters in Stability Maintenance and Control of Power Transmission System. | Nanxi Liu, Bo Long, Pengfei Hu, Lufei Zhang, Jingyao Hu |
| 2020 | KDD | Deep Learning for Search and Recommender Systems in Practice. | Zhoutong Fu, Huiji Gao, Weiwei Guo, Sandeep Kumar Jha, Jun Jia, Xiaowei Liu, Bo Long, Jun Shi, Sida Wang, Mingzhou Zhou |
| 2020 | KDD | Deep Learning for Anomaly Detection. | Ruoying Wang, Kexin Nie, Yen-Jung Chang, Xinwei Gong, Tie Wang, Yang Yang, Bo Long |
| 2020 | WWW | Deep Transfer Learning for Search and Recommendation. | Yanen Li, Yang Yang, Sen Zhou, Jian Qiao, Bo Long |
| 2020 | SIGIR | Deep Natural Language Processing for Search and Recommendation. | Bo Long, Jieping Ye, Zang Li, Huiji Gao, Sandeep Kumar Jha |
| 2020 | SIGIR | Personalized Query Suggestions. | Jianling Zhong, Weiwei Guo, Huiji Gao, Bo Long |
| 2020 | WSDM | Deep Learning for Anomaly Detection. | Ruoying Wang, Kexin Nie, Tie Wang, Yang Yang, Bo Long |
| 2019 | KDD | Deep Natural Language Processing for Search and Recommender Systems. | Weiwei Guo, Huiji Gao, Jun Shi, Bo Long, Liang Zhang, Bee-Chung Chen, Deepak Agarwal |
| 2019 | SIGIR | Deep Natural Language Processing for Search Systems. | Weiwei Guo, Huiji Gao, Jun Shi, Bo Long |
| 2016 | KDD | An Empirical Study on Recommendation with Multiple Types of Feedback. | Liang Tang, Bo Long, Bee-Chung Chen, Deepak Agarwal |
| 2014 | KDD | Scalable Heterogeneous Transfer Ranking. | Mohammad Taha Bahadori, Yi Chang, Bo Long, Yan Liu |
| 2014 | WSDM | LASER: a scalable response prediction platform for online advertising. | Deepak Agarwal, Bo Long, Jonathan Traupman, Doris Xin, Liang Zhang |
| 2012 | ACL | Iterative Viterbi A* Algorithm for K-Best Sequential Decoding. | Zhiheng Huang, Yi Chang, Bo Long, Jean-Franois Crespo, Anlei Dong, S. Sathiya Keerthi, Su-Lin Wu |
| 2012 | CIKM | Enhancing product search by best-selling prediction in e-commerce. | Bo Long, Jiang Bian, Anlei Dong, Yi Chang |
| 2012 | SIGIR | Friend or frenemy?: predicting signed ties in social networks. | Shuang-Hong Yang, Alexander J. Smola, Bo Long, Hongyuan Zha, Yi Chang |
| 2012 | WSDM | Pairwise cross-domain factor model for heterogeneous transfer ranking. | Bo Long, Yi Chang, Anlei Dong, Jianzhang He |
| 2011 | CIKM | Pattern change discovery between high dimensional data sets. | Yi Xu, Zhongfei Zhang, Philip S. Yu, Bo Long |
| 2011 | KDD | Localized factor models for multi-context recommendation. | Deepak Agarwal, Bee-Chung Chen, Bo Long |
| 2011 | WWW | Like like alike: joint friendship and interest propagation in social networks. | Shuang-Hong Yang, Bo Long, Alexander J. Smola, Narayanan Sadagopan, Zhaohui Zheng, Hongyuan Zha |
| 2011 | SIGIR | Collaborative competitive filtering: learning recommender using context of user choice. | Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hongyuan Zha, Zhaohui Zheng |
| 2010 | CIKM | Ranking with auxiliary data. | Bo Long, Yi Chang, Srinivas Vadrevu, Shuang-Hong Yang, Zhaohui Zheng |
| 2010 | SIGIR | Active learning for ranking through expected loss optimization. | Bo Long, Olivier Chapelle, Ya Zhang, Yi Chang, Zhaohui Zheng, Belle L. Tseng |
| 2009 | CIKM | A risk minimization framework for domain adaptation. | Bo Long, Sudarshan Lamkhede, Srinivas Vadrevu, Ya Zhang, Belle L. Tseng |
| 2009 | ICDE | A Latent Topic Model for Complete Entity Resolution. | Liangcai Shu, Bo Long, Weiyi Meng |
| 2008 | AAAI | Clustering on Complex Graphs. | Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu, Tianbing Xu |
| 2008 | ICDM | Dirichlet Process Based Evolutionary Clustering. | Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, Bo Long |
| 2008 | ICDM | Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State. | Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, Bo Long |
| 2008 | SDM | A General Model for Multiple View Unsupervised Learning. | Bo Long, Philip S. Yu, Zhongfei (Mark) Zhang |
| 2007 | AAAI | Graph Partitioning Based on Link Distributions. | Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu |
| 2007 | ICDM | Community Learning by Graph Approximation. | Bo Long, Xiaoyun Xu, Zhongfei (Mark) Zhang, Philip S. Yu |
| 2007 | ICML | Relational clustering by symmetric convex coding. | Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip S. Yu |
| 2007 | KDD | A probabilistic framework for relational clustering. | Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu |
| 2006 | ICML | Spectral clustering for multi-type relational data. | Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip S. Yu |
| 2006 | KDD | Unsupervised learning on k-partite graphs. | Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip S. Yu |
| 2005 | ICDM | Combining Multiple Clusterings by Soft Correspondence. | Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu |
| 2005 | KDD | Co-clustering by block value decomposition. | Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu |