Jiankai Sun

According to our database, Jiankai Sun authored at least 68 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Lyra: Orchestrating Dual Correction in Automated Theorem Proving.

Chuanyang Zheng, Haiming Wang, Enze Xie, Zhengying Liu, Jiankai Sun, Huajian Xin, Jianhao Shen, Zhenguo Li, Yu Li

Trans. Mach. Learn. Res., 2024

DAPE V2: Process Attention Score as Feature Map for Length Extrapolation.

Chuanyang Zheng, Yihang Gao, Han Shi, Jing Xiong, Jiankai Sun, Jingyao Li, Minbin Huang, Xiaozhe Ren, Michael K. Ng, Xin Jiang, Zhenguo Li, Yu Li

CoRR, 2024

Hierarchical Hybrid Learning for Long-Horizon Contact-Rich Robotic Assembly.

Jiankai Sun, Aidan Curtis, Yang You, Yan Xu, Michael Koehle, Leonidas J. Guibas, Sachin Chitta, Mac Schwager, Hui Li

CoRR, 2024

BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1, 000 Everyday Activities and Realistic Simulation.

Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Wensi Ai, Benjamin Jose Martinez, Hang Yin, Michael Lingelbach, Minjune Hwang, Ayano Hiranaka, Sujay Garlanka, Arman Aydin, Sharon Lee, Jiankai Sun, Mona Anvari, Manasi Sharma, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Yunzhu Li, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei

CoRR, 2024

Leveraging Print Debugging to Improve Code Generation in Large Language Models.

Xueyu Hu, Kun Kuang, Jiankai Sun, Hongxia Yang, Fei Wu

CoRR, 2024

Privacy Preserving Conversion Modeling in Data Clean Room.

Kungang Li, Xiangyi Chen, Ling Leng, Jiajing Xu, Jiankai Sun, Behnam Rezaei

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Large AI Models in Health Informatics: Applications, Challenges, and the Future.

Jianing Qiu, Lin Li, Jiankai Sun, Jiachuan Peng, Peilun Shi, Ruiyang Zhang, Yinzhao Dong, Kyle Lam, Frank P.-W. Lo, Bo Xiao, Wu Yuan, Ningli Wang, Dong Xu, Benny P. L. Lo

IEEE J. Biomed. Health Informatics, December, 2023

PAOLTransformer: Pruning-adaptive optimal lightweight Transformer model for aero-engine remaining useful life prediction.

Xin Zhang, Jiankai Sun, Jiaxu Wang, Yulin Jin, Lei Wang, Zhiwen Liu

Reliab. Eng. Syst. Saf., December, 2023

NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields.

Jiankai Sun, Yan Xu, Mingyu Ding, Hongwei Yi, Chen Wang, Jingdong Wang, Liangjun Zhang, Mac Schwager

IEEE Robotics Autom. Lett., 2023

Lightweight bidirectional long short-term memory based on automated model pruning with application to bearing remaining useful life prediction.

Jiankai Sun, Xin Zhang, Jiaxu Wang

Eng. Appl. Artif. Intell., 2023

A Survey of Reasoning with Foundation Models.

Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li

CoRR, 2023

Foundation Models in Robotics: Applications, Challenges, and the Future.

Roya Firoozi, Johnathan Tucker, Stephen Tian, Anirudha Majumdar, Jiankai Sun, Weiyu Liu, Yuke Zhu, Shuran Song, Ashish Kapoor, Karol Hausman, Brian Ichter, Danny Driess, Jiajun Wu, Cewu Lu, Mac Schwager

CoRR, 2023

Aria-NeRF: Multimodal Egocentric View Synthesis.

Jiankai Sun, Jianing Qiu, Chuanyang Zheng, John Tucker, Javier Yu, Mac Schwager

CoRR, 2023

Large AI Models in Health Informatics: Applications, Challenges, and the Future.

Jianing Qiu, Lin Li, Jiankai Sun, Jiachuan Peng, Peilun Shi, Ruiyang Zhang, Yinzhao Dong, Kyle Lam, Frank P.-W. Lo, Bo Xiao, Wu Yuan, Dong Xu, Benny Lo

CoRR, 2023

Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations.

Mimee Xu, Jiankai Sun, Xin Yang, Kevin Yao, Chong Wang

CoRR, 2023

Label Inference Attack against Split Learning under Regression Setting.

Shangyu Xie, Xin Yang, Yuanshun Yao, Tianyi Liu, Taiqing Wang, Jiankai Sun

CoRR, 2023

DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation.

Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model.

Jiankai Sun, Yiqi Jiang, Jianing Qiu, Parth Nobel, Mykel J. Kochenderfer, Mac Schwager

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems.

Xiaohui Chen, Jiankai Sun, Taiqing Wang, Ruocheng Guo, Li-Ping Liu, Aonan Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure.

Jiankai Sun, Shreyas Kousik, David Fridovich-Keil, Mac Schwager

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes.

Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Hang Li, Yang Liu

Proceedings of the International Conference on Machine Learning, 2023

MimicPlay: Long-Horizon Imitation Learning by Watching Human Play.

Chen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei, Danfei Xu, Yuke Zhu, Anima Anandkumar

Proceedings of the Conference on Robot Learning, 2023

PSLF: Defending Against Label Leakage in Split Learning.

Xinwei Wan, Jiankai Sun, Shengjie Wang, Lei Chen, Zhenzhe Zheng, Fan Wu, Guihai Chen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

LS-Net: COVID-19 Lesion Segmentation from CT Image via Diffusion Probabilistic Model.

Aiwu Shi, Bei Sheng, Jin Huang, Jiankai Sun, Gan Luo, Chao Han, He Huang, Shuran Ma

Proceedings of the Advances in Computer Graphics, 2023

DPAUC: Differentially Private AUC Computation in Federated Learning.

Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

PlaTe: Visually-Grounded Planning With Transformers in Procedural Tasks.

Jiankai Sun, De-An Huang, Bo Lu, Yun-Hui Liu, Bolei Zhou, Animesh Garg

IEEE Robotics Autom. Lett., 2022

Egocentric Human Trajectory Forecasting With a Wearable Camera and Multi-Modal Fusion.

Jianing Qiu, Lipeng Chen, Xiao Gu, Frank P.-W. Lo, Ya-Yen Tsai, Jiankai Sun, Jiaqi Liu, Benny Lo

IEEE Robotics Autom. Lett., 2022

Evaluating Fairness Without Sensitive Attributes: A Framework Using Only Auxiliary Models.

Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Yang Liu, Hang Li

CoRR, 2022

NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields.

Jiankai Sun, Yan Xu, Mingyu Ding, Hongwei Yi, Jingdong Wang, Liangjun Zhang, Mac Schwager

CoRR, 2022

Differentially Private AUC Computation in Vertical Federated Learning.

Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang

CoRR, 2022

LocATe: End-to-end Localization of Actions in 3D with Transformers.

Jiankai Sun, Bolei Zhou, Michael J. Black, Arjun Chandrasekaran

CoRR, 2022

Differentially Private Label Protection in Split Learning.

Xin Yang, Jiankai Sun, Yuanshun Yao, Junyuan Xie, Chong Wang

CoRR, 2022

Label Leakage and Protection from Forward Embedding in Vertical Federated Learning.

Jiankai Sun, Xin Yang, Yuanshun Yao, Chong Wang

CoRR, 2022

Differentially private multi-party data release for linear regression.

Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic Prediction for Smart Cities.

Jiankai Sun, Shreyas Kousik, David Fridovich-Keil, Mac Schwager

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Label Leakage and Protection in Two-party Split Learning.

Oscar Li, Jiankai Sun, Xin Yang, Weihao Gao, Hongyi Zhang, Junyuan Xie, Virginia Smith, Chong Wang

Proceedings of the Tenth International Conference on Learning Representations, 2022

BEHAVIOR-1K: A Benchmark for Embodied AI with 1, 000 Everyday Activities and Realistic Simulation.

Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Michael Lingelbach, Jiankai Sun, Mona Anvari, Minjune Hwang, Manasi Sharma, Arman Aydin, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei

Proceedings of the Conference on Robot Learning, 2022

2021

Adversarial Inverse Reinforcement Learning With Self-Attention Dynamics Model.

Jiankai Sun, Lantao Yu, Pinqian Dong, Bo Lu, Bolei Zhou

IEEE Robotics Autom. Lett., 2021

Defending against Reconstruction Attack in Vertical Federated Learning.

Jiankai Sun, Yuanshun Yao, Weihao Gao, Junyuan Xie, Chong Wang

CoRR, 2021

Vertical Federated Learning without Revealing Intersection Membership.

Jiankai Sun, Xin Yang, Yuanshun Yao, Aonan Zhang, Weihao Gao, Junyuan Xie, Chong Wang

CoRR, 2021

Learning An End-to-End Structure for Retrieval in Large-Scale Recommendations.

Weihao Gao, Xiangjun Fan, Chong Wang, Jiankai Sun, Kai Jia, Wenzhi Xiao, Ruofan Ding, Xingyan Bin, Hui Yang, Xiaobing Liu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

HiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning.

Jiankai Sun, Rui Liu, Bolei Zhou

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Cross-View Semantic Segmentation for Sensing Surroundings.

Bowen Pan, Jiankai Sun, Ho Yin Tiga Leung, Alex Andonian, Bolei Zhou

IEEE Robotics Autom. Lett., 2020

Deep Retrieval: An End-to-End Learnable Structure Model for Large-Scale Recommendations.

Weihao Gao, Xiangjun Fan, Jiankai Sun, Kai Jia, Wenzhi Xiao, Chong Wang, Xiaobing Liu

CoRR, 2020

EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering Services.

Jiankai Sun, Jie Zhao, Huan Sun, Srinivasan Parthasarathy

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud.

Hongwei Yi, Shaoshuai Shi, Mingyu Ding, Jiankai Sun, Kui Xu, Hui Zhou, Zhe Wang, Sheng Li, Guoping Wang

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Transferable Active Grasping and Real Embodied Dataset.

Xiangyu Chen, Zelin Ye, Jiankai Sun, Yuda Fan, Fang Hu, Chenxi Wang, Cewu Lu

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Low-bit Quantization Needs Good Distribution.

Haibao Yu, Tuopu Wen, Guangliang Cheng, Jiankai Sun, Qi Han, Jianping Shi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Neuro-Symbolic Program Search for Autonomous Driving Decision Module Design.

Jiankai Sun, Hao Sun, Tian Han, Bolei Zhou

Proceedings of the 4th Conference on Robot Learning, 2020

Learning a Decision Module by Imitating Driver's Control Behaviors.

Junning Huang, Sirui Xie, Jiankai Sun, Gary Qiurui Ma, Chunxiao Liu, Dahua Lin, Bolei Zhou

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Learning Driving Decisions by Imitating Drivers' Control Behaviors.

Junning Huang, Sirui Xie, Jiankai Sun, Gary Qiurui Ma, Chunxiao Liu, Jianping Shi, Dahua Lin, Bolei Zhou

CoRR, 2019

An End-to-End Framework for Cold Question Routing in Community Question Answering Services.

Jiankai Sun, Jie Zhao, Huan Sun, Srinivasan Parthasarathy

CoRR, 2019

GDRQ: Group-based Distribution Reshaping for Quantization.

Haibao Yu, Tuopu Wen, Guangliang Cheng, Jiankai Sun, Qi Han, Jianping Shi

CoRR, 2019

Cross-view Semantic Segmentation for Sensing Surroundings.

Bowen Pan, Jiankai Sun, Alex Andonian, Aude Oliva, Bolei Zhou

CoRR, 2019

CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization.

Mingyu Ding, Zhe Wang, Jiankai Sun, Jianping Shi, Ping Luo

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Cross-Stream Selective Networks for Action Recognition.

Bowen Pan, Jiankai Sun, Wuwei Lin, Limin Wang, Weiyao Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation.

Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Symmetrization for Embedding Directed Graphs.

Jiankai Sun, Srinivasan Parthasarathy

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

ColdRoute: effective routing of cold questions in stack exchange sites.

Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti, Charles Siegel, Srinivasan Parthasarathy

Data Min. Knowl. Discov., 2018

NavigationNet: A Large-scale Interactive Indoor Navigation Dataset.

He Huang, Yujing Shen, Jiankai Sun, Cewu Lu

CoRR, 2018

Semi-supervised Embedding in Attributed Networks with Outliers.

Jiongqian Liang, Peter Jacobs, Jiankai Sun, Srinivasan Parthasarathy

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites.

Jiankai Sun, Sobhan Moosavi, Rajiv Ramnath, Srinivasan Parthasarathy

Proceedings of the Twelfth International Conference on Web and Social Media, 2018

2017

Learning to Recommend Accurate and Diverse Items.

Peizhe Cheng, Shuaiqiang Wang, Jun Ma, Jiankai Sun, Hui Xiong

Proceedings of the 26th International Conference on World Wide Web, 2017

Breaking Cycles In Noisy Hierarchies.

Jiankai Sun, Deepak Ajwani, Patrick K. Nicholson, Alessandra Sala, Srinivasan Parthasarathy

Proceedings of the 2017 ACM on Web Science Conference, 2017

2014

VSRank: A Novel Framework for Ranking-Based Collaborative Filtering.

Shuaiqiang Wang, Jiankai Sun, Byron J. Gao, Jun Ma

ACM Trans. Intell. Syst. Technol., 2014

2012

Adapting vector space model to ranking-based collaborative filtering.

Shuaiqiang Wang, Jiankai Sun, Byron J. Gao, Jun Ma

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Learning to rank for hybrid recommendation.

Jiankai Sun, Shuaiqiang Wang, Byron J. Gao, Jun Ma

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012