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2020 – today
- 2025
[c82]Kaan Sancak, Zhigang Hua, Jin Fang, Yan Xie, Andrey Malevich, Bo Long, Muhammed Fatih Balin, Ümit V. Çatalyürek:
A Scalable and Effective Alternative to Graph Transformers. AAAI 2025: 20255-20263- [c81]Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long:
Learning Graph Quantized Tokenizers. ICLR 2025 - [i57]Haoyu Han, Yu Wang, Harry Shomer, Kai Guo, Jiayuan Ding, Yongjia Lei, Mahantesh Halappanavar, Ryan A. Rossi, Subhabrata Mukherjee, Xianfeng Tang, Qi He, Zhigang Hua, Bo Long, Tong Zhao, Neil Shah, Amin Javari, Yinglong Xia, Jiliang Tang:
Retrieval-Augmented Generation with Graphs (GraphRAG). CoRR abs/2501.00309 (2025) - [i56]Huixue Zhou, Hengrui Gu, Xi Liu, Kaixiong Zhou, Mingfu Liang, Yongkang Xiao, Srinivas Govindan, Piyush Chawla, Jiyan Yang, Xiangfei Meng, Huayu Li, Buyun Zhang, Liang Luo, Wen-Yen Chen, Yiping Han, Bo Long, Rui Zhang, Tianlong Chen:
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit. CoRR abs/2501.02173 (2025) - [i55]Hamid Eghbalzadeh, Yang Wang, Rui Li, Yuji Mo, Qin Ding, Jiaxiang Fu, Liang Dai, Shuo Gu, Nima Noorshams, Sem Park, Bo Long, Xue Feng:
A Unified Knowledge-Distillation and Semi-Supervised Learning Framework to Improve Industrial Ads Delivery Systems. CoRR abs/2502.06834 (2025) - [i54]Haoyu Han, Harry Shomer, Yu Wang, Yongjia Lei, Kai Guo, Zhigang Hua, Bo Long, Hui Liu, Jiliang Tang:
RAG vs. GraphRAG: A Systematic Evaluation and Key Insights. CoRR abs/2502.11371 (2025) - [i53]Guanyu Lin, Zhigang Hua, Tao Feng, Shuang Yang, Bo Long, Jiaxuan You:
Unified Semantic and ID Representation Learning for Deep Recommenders. CoRR abs/2502.16474 (2025) - [i52]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, Yinbin Ma, Shuaiwen Wang, Sihan Zeng, Tongyi Tang, Xiaohan Wei, Longhao Jin, Jamey Zhang, Marcus Chen, Jiayi Zhang, Angie Huang, Chi Zhang, Zhengli Zhao, Jared Yang, Qiang Jin, Xian Chen, Amit Anand Amlesahwaram, Lexi Song, Liang Luo, Yuchen Hao, Nan Xiao, Yavuz Yetim, Luoshang Pan, Gaoxiang Liu, Yuxi Hu, Yuzhen Huang, Jackie Xu, Rich Zhu, Xin Zhang, Yiqun Liu, Hang Yin, Yuxin Chen, Buyun Zhang, Xiaoyi Liu, Xingyuan Wang, Wenguang Mao, Zhijing Li, Qin Huang, Chonglin Sun, Shupin Mao, Benjamin Au, Jingzheng Qin, Peggy Yao, Jae-Woo Choi, Bin Gao, Ernest Wang, Lei Zhang, Wen-Yen Chen, Ted Lee, Jay Zha, Yi Meng, Alex Gong, Edison Gao, Alireza Vahdatpour, Yiping Han, Yantao Yao, Toshinari Kureha, Shuo Chang, Musharaf Sultan, John Bocharov, Sagar Chordia, Xiaorui Gan, Peng Sun, Rocky Liu, Bo Long, Wenlin Chen, Santanu Kolay, Huayu Li:
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. CoRR abs/2502.17494 (2025) - [i51]Ilqar Ramazanli, Hamid Eghbalzadeh, Xiaoyi Liu, Yang Wang, Jiaxiang Fu, Kaushik Rangadurai, Sem Park, Bo Long, Xue Feng:
Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking. CoRR abs/2502.18478 (2025) - 2024
- [j25]Kai Shen
, Lingfei Wu, Siliang Tang, Fangli Xu, Bo Long, Yueting Zhuang, Jian Pei:
Ask Questions With Double Hints: Visual Question Generation With Answer-Awareness and Region-Reference. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9648-9660 (2024) - [j24]Bo Long, Pengling Tang, Feng Wang, Ya-Qiu Jin:
3-D Reconstruction of Space Target Based on Silhouettes Fused ISAR-Optical Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-19 (2024) - [j23]Bo Long, Qi Zhu, Lei Zhao, Aiguo Patrick Hu:
A Low Power IPT System With Integrated Magnetics and Hybrid Tuning for Metal Object Detection. IEEE Trans. Ind. Electron. 71(7): 6966-6976 (2024) - [j22]Qi Shen, Lingfei Wu, Yiming Zhang, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei:
Multi-Interest Multi-Round Conversational Recommendation System with Fuzzy Feedback Based User Simulator. Trans. Recomm. Syst. 2(4): 27:1-27:29 (2024) - [c80]Hamid Eghbalzadeh, Yang Wang, Rui Li, Yuji Mo, Qin Ding, Jiaxiang Fu, Liang Dai, Shuo Gu, Nima Noorshams, Sem Park, Bo Long, Xue Feng:
A Unified Knowledge-Distillation and Semi-Supervised Learning Framework to Improve Industrial Ads Delivery Systems. ICKG 2024: 85-92 - [c79]Ilqar Ramazanli, Hamid Eghbalzadeh, Xiaoyi Liu, Yang Wang, Kaushik Rangadurai, Sem Park, Bo Long, Xue Feng:
Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking. ICKG 2024: 93-101 - [c78]Dongqi Fu, Zhigang Hua, Yan Xie, Jin Fang, Si Zhang, Kaan Sancak, Hao Wu, Andrey Malevich, Jingrui He, Bo Long:
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections. ICLR 2024 - [c77]Pengling Tang, Bo Long, Feng Wang:
Two-Stage Attitude Estimation of Satellite from ISAR Images. IGARSS 2024: 6666-6670 - [c76]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:
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations. RecSys 2024: 1010-1015 - [i50]Chiyu Zhang, Yifei Sun, Jun Chen, Jie Lei, Muhammad Abdul-Mageed, Sinong Wang, Rong Jin, Sem Park, Ning Yao, Bo Long:
SPAR: Personalized Content-Based Recommendation via Long Engagement Attention. CoRR abs/2402.10555 (2024) - [i49]Dongqi Fu, Zhigang Hua, Yan Xie, Jin Fang, Si Zhang, Kaan Sancak, Hao Wu, Andrey Malevich, Jingrui He, Bo Long:
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections. CoRR abs/2403.16030 (2024) - [i48]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:
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations. CoRR abs/2405.11441 (2024) - [i47]Kaan Sancak, Zhigang Hua, Jin Fang, Yan Xie, Andrey Malevich, Bo Long, Muhammed Fatih Balin, Ümit V. Çatalyürek:
A Scalable and Effective Alternative to Graph Transformers. CoRR abs/2406.12059 (2024) - [i46]Kai Shen, Lingfei Wu, Siliang Tang, Fangli Xu, Bo Long, Yueting Zhuang, Jian Pei:
Ask Questions with Double Hints: Visual Question Generation with Answer-awareness and Region-reference. CoRR abs/2407.05100 (2024) - [i45]Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong:
Language Models are Graph Learners. CoRR abs/2410.02296 (2024) - [i44]Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long:
Learning Graph Quantized Tokenizers for Transformers. CoRR abs/2410.13798 (2024) - [i43]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, Kai Wang, Wen-Yen Chen, Yiping Han, Huayu Li, Chunzhi Yang, Bo Long, Philip S. Yu, Hanghang Tong, Jiyan Yang:
InterFormer: Towards Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. CoRR abs/2411.09852 (2024) - [i42]Yun He, Xuxing Chen, Jiayi Xu, Renqin Cai, Yiling You, Jennifer Cao, Minhui Huang, Liu Yang, Yiqun Liu, Xiaoyi Liu, Rong Jin, Sem Park, Bo Long, Xue Feng:
MultiBalance: Multi-Objective Gradient Balancing in Industrial-Scale Multi-Task Recommendation System. CoRR abs/2411.11871 (2024) - [i41]Xiaolong Liu, Zhichen Zeng, Xiaoyi Liu, Siyang Yuan, Weinan Song, Mengyue Hang, Yiqun Liu, Chaofei Yang, Donghyun Kim, Wen-Yen Chen, Jiyan Yang, Yiping Han, Rong Jin, Bo Long, Hanghang Tong, Philip S. Yu:
A Collaborative Ensemble Framework for CTR Prediction. CoRR abs/2411.13700 (2024) - [i40]Liu Yang, Fabian Paischer, Kaveh Hassani, Jiacheng Li, Shuai Shao, Zhang Gabriel Li, Yun He, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Robert D. Nowak, Xiaoli Gao, Hamid Eghbalzadeh:
Unifying Generative and Dense Retrieval for Sequential Recommendation. CoRR abs/2411.18814 (2024) - [i39]Hanqing Zhu, Zhenyu Zhang, Wenyan Cong, Xi Liu, Sem Park, Vikas Chandra, Bo Long, David Z. Pan, Zhangyang Wang, Jinwon Lee:
APOLLO: SGD-like Memory, AdamW-level Performance. CoRR abs/2412.05270 (2024) - [i38]Fabian Paischer, Liu Yang, Linfeng Liu, Shuai Shao, Kaveh Hassani, Jiacheng Li, Ricky Chen, Zhang Gabriel Li, Xialo Gao, Wei Shao, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Hamid Eghbalzadeh:
Preference Discerning with LLM-Enhanced Generative Retrieval. CoRR abs/2412.08604 (2024) - 2023
- [j21]Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Jianchao Lu, Yun Xiao, Bo Long, Han Yu, Lingfei Wu:
Intelligent online selling point extraction and generation for e-commerce recommendation. AI Mag. 44(1): 16-29 (2023) - [j20]Yanyan Zou, Xueying Zhang, Jing Zhou, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Xueqi He, Yun Xiao, Bo Long, Mian Ma, Sulong Xu, Han Yu, Lingfei Wu:
Automatic product copywriting for e-commerce. AI Mag. 44(1): 41-53 (2023) - [j19]Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long:
Graph Neural Networks for Natural Language Processing: A Survey. Found. Trends Mach. Learn. 16(2): 119-328 (2023) - [j18]Weibo Qin, Bo Long, Feng Wang:
SCMA: A Scattering Center Model Attack on CNN-SAR Target Recognition. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j17]Bo Long, Shihan Zhu, José Rodríguez, Josep M. Guerrero, Kil To Chong:
Enhancement of Power Decoupling for Virtual Synchronous Generator: A Virtual Inductor and Virtual Capacitor Approach. IEEE Trans. Ind. Electron. 70(7): 6830-6843 (2023) - [j16]Fei Peng, Bo Long, Min Long:
A Semi-Fragile Reversible Watermarking for Authenticating 3D Models Based on Virtual Polygon Projection and Double Modulation Strategy. IEEE Trans. Multim. 25: 892-906 (2023) - [j15]Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long:
Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation. Trans. Recomm. Syst. 1(4): 1-22 (2023) - [c75]Juan Gong, Zhenlin Chen, Chaoyi Ma, Zhuojian Xiao, Haonan Wang, Guoyu Tang, Lin Liu, Sulong Xu, Bo Long, Yunjiang Jiang:
Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce. ICDE 2023: 3222-3234 - [c74]Jiacheng Chen, Bo Long, Haipeng Wang:
Parameter Retrieval of Attributed Scattering Center in Sar Image Using Reinforcement Learning. IGARSS 2023: 5555-5558 - [c73]Bo Long, Feng Wang:
Differentiable Voxel Reconstruction of Satellite Target from Multi-Station ISAR and Optical Image Sequence. IGARSS 2023: 5611-5614 - [c72]Yanbing Wang, Bo Long, Feng Wang:
RCS Statistical Feature Extraction for Space Target Recognition Based on Bi-LSTM. IGARSS 2023: 6049-6052 - [c71]Pengling Tang, Bo Long, Feng Wang:
A Decision Fusion Framework for ISAR Images Recognition Based On Scattering Center and Zernike Moment. IGARSS 2023: 6442-6445 - [c70]Xuan Wang, Bo Long, Feng Wang:
Reprogramming Acoustic Models for Space Target Recognition. IGARSS 2023: 7483-7486 - [c69]Shitong Dai, Jiongnan Liu, Zhicheng Dou, Haonan Wang, Lin Liu, Bo Long, Ji-Rong Wen:
Contrastive Learning for User Sequence Representation in Personalized Product Search. KDD 2023: 380-389 - [c68]Zhendong Chu, Hongning Wang, Yun Xiao, Bo Long, Lingfei Wu:
Meta Policy Learning for Cold-Start Conversational Recommendation. WSDM 2023: 222-230 - [c67]Binbin Wang, Mingming Li, Zhixiong Zeng, Jingwei Zhuo, Songlin Wang, Sulong Xu, Bo Long, Weipeng Yan:
Learning Multi-Stage Multi-Grained Semantic Embeddings for E-Commerce Search. WWW (Companion Volume) 2023: 411-415 - [i37]Binbin Wang, Mingming Li, Zhixiong Zeng, Jingwei Zhuo, Songlin Wang, Sulong Xu, Bo Long, Weipeng Yan:
Learning Multi-Stage Multi-Grained Semantic Embeddings for E-Commerce Search. CoRR abs/2303.11009 (2023) - [i36]Juan Gong, Zhenlin Chen, Chaoyi Ma, Zhuojian Xiao, Haonan Wang, Guoyu Tang, Lin Liu, Sulong Xu, Bo Long, Yunjiang Jiang:
Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce. CoRR abs/2306.05011 (2023) - 2022
- [j14]Bo Long, Zilin Zhu, Wandi Yang, Kil To Chong, José Rodríguez, Josep M. Guerrero:
Gradient Descent Optimization Based Parameter Identification for FCS-MPC Control of LCL-Type Grid Connected Converter. IEEE Trans. Ind. Electron. 69(3): 2631-2643 (2022) - [j13]Bo Long, Peng Jie Lu, Kil To Chong, José Rodríguez, Josep M. Guerrero:
Robust Fuzzy-Fractional-Order Nonsingular Terminal Sliding-Mode Control of LCL-Type Grid-Connected Converters. IEEE Trans. Ind. Electron. 69(6): 5854-5866 (2022) - [j12]Bo Long, TianXu Cao, DaWei Sheng, José Rodríguez, Josep M. Guerrero, Kil To Chong:
Sequential Model Predictive Fault-Tolerance Control for T-Type Three-Level Grid-Connected Converters With LCL Filters. IEEE Trans. Ind. Electron. 69(9): 9039-9051 (2022) - [j11]Bo Long, Wei Zeng, José Rodríguez, Josep M. Guerrero, Kil To Chong:
Voltage Regulation Enhancement of DC-MG Based on Power Accumulator Battery Test System: MPC-Controlled Virtual Inertia Approach. IEEE Trans. Smart Grid 13(1): 71-81 (2022) - [j10]Bo Long, Wei Zeng, José Rodríguez, Cristian Garcia, Josep M. Guerrero, Kil To Chong:
Stability Enhancement of Battery-Testing DC Microgrid: An ADRC-Based Virtual Inertia Control Approach. IEEE Trans. Smart Grid 13(6): 4256-4268 (2022) - [c66]Xiang Deng, Yun Xiao, Bo Long, Zhongfei Zhang:
Reducing Flipping Errors in Deep Neural Networks. AAAI 2022: 6506-6514 - [c65]Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Jianchao Lu, Yun Xiao, Bo Long, Han Yu, Lingfei Wu:
Intelligent Online Selling Point Extraction for E-commerce Recommendation. AAAI 2022: 12360-12368 - [c64]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:
Automatic Product Copywriting for E-commerce. AAAI 2022: 12423-12431 - [c63]Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu:
Feeding What You Need by Understanding What You Learned. ACL (1) 2022: 5858-5874 - [c62]Yiming Qiu, Chenyu Zhao, Han Zhang, Jingwei Zhuo, Tianhao Li, Xiaowei Zhang, Songlin Wang, Sulong Xu, Bo Long, Wen-Yun Yang:
Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search. CIKM 2022: 4424-4428 - [c61]Wuyang Luo, Su Yang, Hong Wang, Bo Long, Weishan Zhang:
Context-Consistent Semantic Image Editing with Style-Preserved Modulation. ECCV (17) 2022: 561-578 - [c60]Peng Lin, Yanyan Zou, Lingfei Wu, Mian Ma, Zhuoye Ding, Bo Long:
Automatic Scene-based Topic Channel Construction System for E-Commerce. EMNLP (Industry Track) 2022: 272-284 - [c59]Yunjiang Jiang, Han Zhang, Yiming Qiu, Yun Xiao, Bo Long, Wen-Yun Yang:
Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes. ICLR 2022 - [c58]Dong Chen, Lingfei Wu, Siliang Tang, Xiao Yun, Bo Long, Yueting Zhuang:
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile. ICML 2022: 3662-3678 - [c57]Hanning Gao, Lingfei Wu, Po Hu, Zhihua Wei, Fangli Xu, Bo Long:
Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph. AACL/IJCNLP (1) 2022: 82-92 - [c56]Junpeng Liu, Yanyan Zou, Yuxuan Xi, Shengjie Li, Mian Ma, Zhuoye Ding, Bo Long:
Negative Guided Abstractive Dialogue Summarization. INTERSPEECH 2022: 3253-3257 - [c55]Donghui Ding, Bo Long, Feng Zhuo, Zhongcheng Li, Hanwen Zhang, Chen Tian, Yi Sun:
Lilac: Parallelizing Atomic Cross-Chain Swaps. ISCC 2022: 1-8 - [c54]Xiaochuan Fan, Chi Zhang, Yong Yang, Yue Shang, Xueying Zhang, Zhen He, Yun Xiao, Bo Long, Lingfei Wu:
Automatic Generation of Product-Image Sequence in E-commerce. KDD 2022: 2851-2859 - [c53]Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu:
Automatic Controllable Product Copywriting for E-Commerce. KDD 2022: 2946-2956 - [c52]Fangxiong Xiao, Lixi Deng, Jingjing Chen, Houye Ji, Xiaorui Yang, Zhuoye Ding, Bo Long:
From Abstract to Details: A Generative Multimodal Fusion Framework for Recommendation. ACM Multimedia 2022: 258-267 - [c51]Yue Fang, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Bo Long, Yanyan Lan, Yanquan Zhou:
From spoken dialogue to formal summary: An utterance rewriting for dialogue summarization. NAACL-HLT 2022: 3859-3869 - [c50]Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long, Jian Pei:
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation. WSDM 2022: 775-783 - [c49]Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei:
Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation. WWW 2022: 2153-2162 - [i35]Dadong Miao, Yanan Wang, Guoyu Tang, Lin Liu, Sulong Xu, Bo Long, Yun Xiao, Lingfei Wu, Yunjiang Jiang:
Sequential Search with Off-Policy Reinforcement Learning. CoRR abs/2202.00245 (2022) - [i34]Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu:
Feeding What You Need by Understanding What You Learned. CoRR abs/2203.02753 (2022) - [i33]Yunjiang Jiang, Han Zhang, Yiming Qiu, Yun Xiao, Bo Long, Wen-Yun Yang:
Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes. CoRR abs/2203.05082 (2022) - [i32]Xiang Deng, Yun Xiao, Bo Long, Zhongfei Zhang:
Reducing Flipping Errors in Deep Neural Networks. CoRR abs/2203.08390 (2022) - [i31]Yangkai Du, Tengfei Ma, Lingfei Wu, Yiming Wu, Xuhong Zhang, Bo Long, Shouling Ji:
Improving Long Tailed Document-Level Relation Extraction via Easy Relation Augmentation and Contrastive Learning. CoRR abs/2205.10511 (2022) - [i30]Xueying Zhang, Kai Shen, Chi Zhang, Xiaochuan Fan, Yun Xiao, Zhen He, Bo Long, Lingfei Wu:
Scenario-based Multi-product Advertising Copywriting Generation for E-Commerce. CoRR abs/2205.10530 (2022) - [i29]Zhendong Chu, Hongning Wang, Yun Xiao, Bo Long, Lingfei Wu:
Meta Policy Learning for Cold-Start Conversational Recommendation. CoRR abs/2205.11788 (2022) - [i28]Dong Chen, Lingfei Wu, Siliang Tang, Xiao Yun, Bo Long, Yueting Zhuang:
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile. CoRR abs/2206.01944 (2022) - [i27]Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu:
Automatic Controllable Product Copywriting for E-Commerce. CoRR abs/2206.10103 (2022) - [i26]Xiaochuan Fan, Chi Zhang, Yong Yang, Yue Shang, Xueying Zhang, Zhen He, Yun Xiao, Bo Long, Lingfei Wu:
Automatic Generation of Product-Image Sequence in E-commerce. CoRR abs/2206.12994 (2022) - [i25]Wuyang Luo, Su Yang, Hong Wang, Bo Long, Weishan Zhang:
Context-Consistent Semantic Image Editing with Style-Preserved Modulation. CoRR abs/2207.06252 (2022) - [i24]Yiming Qiu, Chenyu Zhao, Han Zhang, Jingwei Zhuo, Tianhao Li, Xiaowei Zhang, Songlin Wang, Sulong Xu, Bo Long, Wen-Yun Yang:
Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search. CoRR abs/2208.06150 (2022) - [i23]Peng Lin, Yanyan Zou, Lingfei Wu, Mian Ma, Zhuoye Ding, Bo Long:
Automatic Scene-based Topic Channel Construction System for E-Commerce. CoRR abs/2210.02643 (2022) - 2021
- [j9]Xu Wei, Jiyu Li, Bo Long, Xiaodan Hu, Han Wu, Huifen Li:
Method for Vortex Shape Retrieval and Area Calculation Based on Convex Hull Algorithm. IEEE Access 9: 2706-2714 (2021) - [j8]Fei Peng, Bo Long, Min Long:
A General Region Nesting-Based Semi-Fragile Reversible Watermarking for Authenticating 3D Mesh Models. IEEE Trans. Circuits Syst. Video Technol. 31(11): 4538-4553 (2021) - [j7]Bo Long, Yong Liao, Kil To Chong, José Rodríguez, Josep M. Guerrero:
MPC-Controlled Virtual Synchronous Generator to Enhance Frequency and Voltage Dynamic Performance in Islanded Microgrids. IEEE Trans. Smart Grid 12(2): 953-964 (2021) - [j6]Bo Long, Yong Liao, Kil To Chong, José Rodríguez, Josep M. Guerrero:
Enhancement of Frequency Regulation in AC Microgrid: A Fuzzy-MPC Controlled Virtual Synchronous Generator. IEEE Trans. Smart Grid 12(4): 3138-3149 (2021) - [c48]Dadong Miao, Yanan Wang, Guoyu Tang, Lin Liu, Sulong Xu, Bo Long, Yun Xiao, Lingfei Wu, Yunjiang Jiang:
Sequential Search with Off-Policy Reinforcement Learning. CIKM 2021: 4006-4015 - [c47]Yangkai Du, Tengfei Ma, Lingfei Wu, Fangli Xu, Xuhong Zhang, Bo Long, Shouling Ji:
Constructing contrastive samples via summarization for text classification with limited annotations. EMNLP (Findings) 2021: 1365-1376 - [c46]Yiming Qiu, Kang Zhang, Han Zhang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, Wen-Yun Yang:
Query Rewriting via Cycle-Consistent Translation for E-Commerce Search. ICDE 2021: 2435-2446 - [c45]Kai Shen, Lingfei Wu, Siliang Tang, Yueting Zhuang, Zhen He, Zhuoye Ding, Yun Xiao, Bo Long:
Learning to Generate Visual Questions with Noisy Supervision. NeurIPS 2021: 11604-11617 - [c44]Han Zhang, Hongwei Shen, Yiming Qiu, Yunjiang Jiang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, Wen-Yun Yang:
Joint Learning of Deep Retrieval Model and Product Quantization based Embedding Index. SIGIR 2021: 1718-1722 - [c43]Xueying Zhang, Yunjiang Jiang, Yue Shang, Zhaomeng Cheng, Chi Zhang, Xiaochuan Fan, Yun Xiao, Bo Long:
DSGPT: Domain-Specific Generative Pre-Training of Transformers for Text Generation in E-commerce Title and Review Summarization. SIGIR 2021: 2146-2150 - [c42]Xinlin Xia, Shang Wang, Han Zhang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, Wen-Yun Yang:
SearchGCN: Powering Embedding Retrieval by Graph Convolution Networks for E-Commerce Search. SIGIR 2021: 2633-2634 - [c41]Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long:
AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems. WWW 2021: 3015-3022 - [i22]Ziyang Liu, Zhaomeng Cheng, Yunjiang Jiang, Yue Shang, Wei Xiong, Sulong Xu, Bo Long, Di Jin:
Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search. CoRR abs/2101.04850 (2021) - [i21]Yiming Qiu, Kang Zhang, Han Zhang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, Wen-Yun Yang:
Query Rewriting via Cycle-Consistent Translation for E-Commerce Search. CoRR abs/2103.00800 (2021) - [i20]Han Zhang, Hongwei Shen, Yiming Qiu, Yunjiang Jiang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, Wen-Yun Yang:
Joint Learning of Deep Retrieval Model and Product Quantization based Embedding Index. CoRR abs/2105.03933 (2021) - [i19]Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long:
Graph Neural Networks for Natural Language Processing: A Survey. CoRR abs/2106.06090 (2021) - [i18]Xu Yuan, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Zhuoye Ding, Zhen He, Bo Long:
Improving Sequential Recommendation Consistency with Self-Supervised Imitation. CoRR abs/2106.14031 (2021) - [i17]Xinlin Xia, Shang Wang, Han Zhang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, Wen-Yun Yang:
SearchGCN: Powering Embedding Retrieval by Graph Convolution Networks for E-Commerce Search. CoRR abs/2107.00525 (2021) - [i16]Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long:
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation. CoRR abs/2107.03813 (2021) - [i15]Weiwei Guo, Xiaowei Liu, Sida Wang, Michaeel Kazi, Zhoutong Fu, Huiji Gao, Jun Jia, Liang Zhang, Bo Long:
Deep Natural Language Processing for LinkedIn Search Systems. CoRR abs/2108.08252 (2021) - [i14]Weiwei Guo, Xiaowei Liu, Sida Wang, Michaeel Kazi, Zhiwei Wang, Zhoutong Fu, Jun Jia, Liang Zhang, Huiji Gao, Bo Long:
Deep Natural Language Processing for LinkedIn Search. CoRR abs/2108.13300 (2021) - [i13]Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long:
Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation. CoRR abs/2109.11898 (2021) - [i12]Qi Shen, Lingfei Wu, Yitong Pang, Yiming Zhang, Zhihua Wei, Fangli Xu, Bo Long:
Multi-behavior Graph Contextual Aware Network for Session-based Recommendation. CoRR abs/2109.11903 (2021) - [i11]Hanning Gao, Lingfei Wu, Po Hu, Zhihua Wei, Fangli Xu, Bo Long:
Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph. CoRR abs/2111.10541 (2021) - [i10]Hanning Gao, Lingfei Wu, Po Hu, Zhihua Wei, Fangli Xu, Bo Long:
RDF-to-Text Generation with Reinforcement Learning Based Graph-augmented Structural Neural Encoders. CoRR abs/2111.10545 (2021) - [i9]Xueying Zhang, Yunjiang Jiang, Yue Shang, Zhaomeng Cheng, Chi Zhang, Xiaochuan Fan, Yun Xiao, Bo Long:
DSGPT: Domain-Specific Generative Pre-Training of Transformers for Text Generation in E-commerce Title and Review Summarization. CoRR abs/2112.08414 (2021) - [i8]Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Yun Xiao, Bo Long, Han Yu, Lingfei Wu:
Intelligent Online Selling Point Extraction for E-Commerce Recommendation. CoRR abs/2112.10613 (2021) - [i7]Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei:
Multi-Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation. CoRR abs/2112.11775 (2021) - [i6]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:
Automatic Product Copywriting for E-Commerce. CoRR abs/2112.11915 (2021) - 2020
- [c40]Weiwei Guo, Xiaowei Liu, Sida Wang, Huiji Gao, Ananth Sankar, Zimeng Yang, Qi Guo, Liang Zhang, Bo Long, Bee-Chung Chen, Deepak Agarwal:
DeText: A Deep Text Ranking Framework with BERT. CIKM 2020: 2509-2516 - [c39]Michaeel Kazi, Weiwei Guo, Huiji Gao, Bo Long:
Incorporating User Feedback into Sequence to Sequence Model Training. CIKM 2020: 2557-2564 - [c38]Sida Wang, Weiwei Guo, Huiji Gao, Bo Long:
Efficient Neural Query Auto Completion. CIKM 2020: 2797-2804 - [c37]Nanxi Liu, Bo Long, Pengfei Hu, Lufei Zhang, Jingyao Hu:
Model Predictive Control for Dual-Active-Bridge Converters in Stability Maintenance and Control of Power Transmission System. IECON 2020: 3242-3247 - [c36]Jingyao Hu, Bo Long, Pengfei Hu, Nanxi Liu:
Novel Control Strategy based on Differential Flatness Theory and Model Predictive Control for Dual-Active-Bridge DC-DC converter. IECON 2020: 5191-5196 - [c35]Zhoutong Fu, Huiji Gao, Weiwei Guo, Sandeep Kumar Jha, Jun Jia, Xiaowei Liu, Bo Long, Jun Shi, Sida Wang, Mingzhou Zhou:
Deep Learning for Search and Recommender Systems in Practice. KDD 2020: 3515-3516 - [c34]Ruoying Wang, Kexin Nie, Yen-Jung Chang, Xinwei Gong, Tie Wang, Yang Yang, Bo Long:
Deep Learning for Anomaly Detection. KDD 2020: 3569-3570 - [c33]Jianling Zhong, Weiwei Guo, Huiji Gao, Bo Long:
Personalized Query Suggestions. SIGIR 2020: 1645-1648 - [c32]Bo Long, Jieping Ye, Zang Li, Huiji Gao, Sandeep Kumar Jha:
Deep Natural Language Processing for Search and Recommendation. SIGIR 2020: 2461-2463 - [c31]Ruoying Wang, Kexin Nie, Tie Wang, Yang Yang, Bo Long:
Deep Learning for Anomaly Detection. WSDM 2020: 894-896 - [c30]Yanen Li, Yang Yang, Sen Zhou, Jian Qiao, Bo Long:
Deep Transfer Learning for Search and Recommendation. WWW (Companion Volume) 2020: 313-314 - [i5]Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long:
Memory-efficient Embedding for Recommendations. CoRR abs/2006.14827 (2020) - [i4]Weiwei Guo, Xiaowei Liu, Sida Wang, Huiji Gao, Ananth Sankar, Zimeng Yang, Qi Guo, Liang Zhang, Bo Long, Bee-Chung Chen, Deepak Agarwal:
DeText: A Deep Text Ranking Framework with BERT. CoRR abs/2008.02460 (2020) - [i3]Sida Wang, Weiwei Guo, Huiji Gao, Bo Long:
Efficient Neural Query Auto Completion. CoRR abs/2008.02879 (2020) - [i2]Xiaowei Liu, Weiwei Guo, Huiji Gao, Bo Long:
Deep Search Query Intent Understanding. CoRR abs/2008.06759 (2020) - [i1]Ninghao Liu, Yunsong Meng, Xia Hu, Tie Wang, Bo Long:
Are Interpretations Fairly Evaluated? A Definition Driven Pipeline for Post-Hoc Interpretability. CoRR abs/2009.07494 (2020)
2010 – 2019
- 2019
- [j5]Bo Long, Muheng Zhang, Yong Liao, Lijun Huang, Kil To Chong:
An Overview of DC Component Generation, Detection and Suppression for Grid-Connected Converter Systems. IEEE Access 7: 110426-110438 (2019) - [c29]Weiwei Guo, Huiji Gao, Jun Shi, Bo Long, Liang Zhang, Bee-Chung Chen, Deepak Agarwal:
Deep Natural Language Processing for Search and Recommender Systems. KDD 2019: 3199-3200 - [c28]Weiwei Guo, Huiji Gao, Jun Shi, Bo Long:
Deep Natural Language Processing for Search Systems. SIGIR 2019: 1405-1406 - 2016
- [c27]Liang Tang, Bo Long, Bee-Chung Chen, Deepak Agarwal:
An Empirical Study on Recommendation with Multiple Types of Feedback. KDD 2016: 283-292 - 2015
- [j4]Bo Long, Jiang Bian, Olivier Chapelle, Ya Zhang, Yoshiyuki Inagaki, Yi Chang:
Active Learning for Ranking through Expected Loss Optimization. IEEE Trans. Knowl. Data Eng. 27(5): 1180-1191 (2015) - 2014
- [j3]Jiang Bian, Bo Long, Lihong Li, Taesup Moon, Anlei Dong, Yi Chang:
Exploiting User Preference for Online Learning in Web Content Optimization Systems. ACM Trans. Intell. Syst. Technol. 5(2): 33:1-33:23 (2014) - [c26]Mohammad Taha Bahadori, Yi Chang, Bo Long, Yan Liu:
Scalable Heterogeneous Transfer Ranking. BigMine 2014: 214-228 - [c25]Deepak Agarwal, Bo Long, Jonathan Traupman, Doris Xin, Liang Zhang:
LASER: a scalable response prediction platform for online advertising. WSDM 2014: 173-182 - 2012
- [j2]Tianbing Xu, Zhongfei Zhang, Philip S. Yu, Bo Long:
Generative Models for Evolutionary Clustering. ACM Trans. Knowl. Discov. Data 6(2): 7:1-7:27 (2012) - [c24]Zhiheng Huang, Yi Chang, Bo Long, Jean-François Crespo, Anlei Dong, S. Sathiya Keerthi, Su-Lin Wu:
Iterative Viterbi A* Algorithm for K-Best Sequential Decoding. ACL (1) 2012: 611-619 - [c23]Bo Long, Jiang Bian, Anlei Dong, Yi Chang:
Enhancing product search by best-selling prediction in e-commerce. CIKM 2012: 2479-2482 - [c22]Shuang-Hong Yang, Alexander J. Smola, Bo Long, Hongyuan Zha, Yi Chang:
Friend or frenemy?: predicting signed ties in social networks. SIGIR 2012: 555-564 - [c21]Bo Long, Yi Chang, Anlei Dong, Jianzhang He:
Pairwise cross-domain factor model for heterogeneous transfer ranking. WSDM 2012: 113-122 - 2011
- [c20]Yi Xu, Zhongfei Zhang, Philip S. Yu, Bo Long:
Pattern change discovery between high dimensional data sets. CIKM 2011: 1097-1106 - [c19]Deepak Agarwal, Bee-Chung Chen, Bo Long:
Localized factor models for multi-context recommendation. KDD 2011: 609-617 - [c18]Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hongyuan Zha, Zhaohui Zheng:
Collaborative competitive filtering: learning recommender using context of user choice. SIGIR 2011: 295-304 - [c17]Shuang-Hong Yang, Bo Long, Alexander J. Smola, Narayanan Sadagopan, Zhaohui Zheng, Hongyuan Zha:
Like like alike: joint friendship and interest propagation in social networks. WWW 2011: 537-546 - 2010
- [j1]Bo Long, Zhongfei Zhang, Philip S. Yu:
A general framework for relation graph clustering. Knowl. Inf. Syst. 24(3): 393-413 (2010) - [c16]Bo Long, Yi Chang, Srinivas Vadrevu, Shuang-Hong Yang, Zhaohui Zheng:
Ranking with auxiliary data. CIKM 2010: 1489-1492 - [c15]Bo Long, Olivier Chapelle, Ya Zhang, Yi Chang, Zhaohui Zheng, Belle L. Tseng:
Active learning for ranking through expected loss optimization. SIGIR 2010: 267-274 - [p1]Zhongfei Zhang, Bo Long, Zhen Guo, Tianbing Xu, Philip S. Yu:
Machine Learning Approaches to Link-Based Clustering. Link Mining 2010: 3-44
2000 – 2009
- 2009
- [c14]Bo Long, Sudarshan Lamkhede, Srinivas Vadrevu, Ya Zhang, Belle L. Tseng:
A risk minimization framework for domain adaptation. CIKM 2009: 1347-1356 - [c13]Liangcai Shu, Bo Long, Weiyi Meng:
A Latent Topic Model for Complete Entity Resolution. ICDE 2009: 880-891 - 2008
- [c12]Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu, Tianbing Xu:
Clustering on Complex Graphs. AAAI 2008: 659-664 - [c11]Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, Bo Long:
Dirichlet Process Based Evolutionary Clustering. ICDM 2008: 648-657 - [c10]Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, Bo Long:
Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State. ICDM 2008: 658-667 - [c9]Bo Long, Philip S. Yu, Zhongfei (Mark) Zhang:
A General Model for Multiple View Unsupervised Learning. SDM 2008: 822-833 - 2007
- [c8]Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu:
Graph Partitioning Based on Link Distributions. AAAI 2007: 578-583 - [c7]Bo Long, Xiaoyun Xu, Zhongfei (Mark) Zhang, Philip S. Yu:
Community Learning by Graph Approximation. ICDM 2007: 232-241 - [c6]Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip S. Yu:
Relational clustering by symmetric convex coding. ICML 2007: 569-576 - [c5]Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu:
A probabilistic framework for relational clustering. KDD 2007: 470-479 - 2006
- [c4]Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip S. Yu:
Spectral clustering for multi-type relational data. ICML 2006: 585-592 - [c3]Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip S. Yu:
Unsupervised learning on k-partite graphs. KDD 2006: 317-326 - 2005
- [c2]Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu:
Combining Multiple Clusterings by Soft Correspondence. ICDM 2005: 282-289 - [c1]Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu:
Co-clustering by block value decomposition. KDD 2005: 635-640
Coauthor Index
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