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2020 – today
- 2024
- [j11]Chuanyang Zheng, Haiming Wang, Enze Xie, Zhengying Liu, Jiankai Sun, Huajian Xin, Jianhao Shen, Zhenguo Li, Yu Li:
Lyra: Orchestrating Dual Correction in Automated Theorem Proving. Trans. Mach. Learn. Res. 2024 (2024) - [c33]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:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [c32]Kungang Li, Xiangyi Chen, Ling Leng, Jiajing Xu, Jiankai Sun, Behnam Rezaei:
Privacy Preserving Conversion Modeling in Data Clean Room. RecSys 2024: 819-822 - [i42]Xueyu Hu, Kun Kuang, Jiankai Sun, Hongxia Yang, Fei Wu:
Leveraging Print Debugging to Improve Code Generation in Large Language Models. CoRR abs/2401.05319 (2024) - [i41]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:
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1, 000 Everyday Activities and Realistic Simulation. CoRR abs/2403.09227 (2024) - [i40]Jiankai Sun, Aidan Curtis, Yang You, Yan Xu, Michael Koehle, Leonidas J. Guibas, Sachin Chitta, Mac Schwager, Hui Li:
Hierarchical Hybrid Learning for Long-Horizon Contact-Rich Robotic Assembly. CoRR abs/2409.16451 (2024) - [i39]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:
DAPE V2: Process Attention Score as Feature Map for Length Extrapolation. CoRR abs/2410.04798 (2024) - [i38]Angela Tsang, Jiankai Sun, Boo Xie, Azeem Khan, Ender Lu, Fletcher Fan, Maggie Wu, Jing Tang:
NodeOP: Optimizing Node Management for Decentralized Networks. CoRR abs/2410.16720 (2024) - 2023
- [j10]Jiankai Sun, Xin Zhang, Jiaxu Wang:
Lightweight bidirectional long short-term memory based on automated model pruning with application to bearing remaining useful life prediction. Eng. Appl. Artif. Intell. 118: 105662 (2023) - [j9]Jiankai Sun, Yan Xu, Mingyu Ding, Hongwei Yi, Chen Wang, Jingdong Wang, Liangjun Zhang, Mac Schwager:
NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields. IEEE Robotics Autom. Lett. 8(8): 5244-5250 (2023) - [j8]Xin Zhang, Jiankai Sun, Jiaxu Wang, Yulin Jin, Lei Wang, Zhiwen Liu:
PAOLTransformer: Pruning-adaptive optimal lightweight Transformer model for aero-engine remaining useful life prediction. Reliab. Eng. Syst. Saf. 240: 109605 (2023) - [j7]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:
Large AI Models in Health Informatics: Applications, Challenges, and the Future. IEEE J. Biomed. Health Informatics 27(12): 6074-6087 (2023) - [c31]Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang:
DPAUC: Differentially Private AUC Computation in Federated Learning. AAAI 2023: 15170-15178 - [c30]Aiwu Shi, Bei Sheng, Jin Huang, Jiankai Sun, Gan Luo, Chao Han, He Huang, Shuran Ma:
LS-Net: COVID-19 Lesion Segmentation from CT Image via Diffusion Probabilistic Model. CGI (4) 2023: 157-171 - [c29]Xinwei Wan, Jiankai Sun, Shengjie Wang, Lei Chen, Zhenzhe Zheng, Fan Wu, Guihai Chen:
PSLF: Defending Against Label Leakage in Split Learning. CIKM 2023: 2492-2501 - [c28]Chen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei, Danfei Xu, Yuke Zhu, Anima Anandkumar:
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play. CoRL 2023: 201-221 - [c27]Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Hang Li, Yang Liu:
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes. ICML 2023: 43258-43288 - [c26]Jiankai Sun, Shreyas Kousik, David Fridovich-Keil, Mac Schwager:
Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure. ITSC 2023: 1721-1726 - [c25]Xiaohui Chen, Jiankai Sun, Taiqing Wang, Ruocheng Guo, Li-Ping Liu, Aonan Zhang:
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems. KDD 2023: 3865-3876 - [c24]Jiankai Sun, Yiqi Jiang, Jianing Qiu, Parth Nobel, Mykel J. Kochenderfer, Mac Schwager:
Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model. NeurIPS 2023 - [c23]Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang:
DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. WSDM 2023: 661-669 - [i37]Shangyu Xie, Xin Yang, Yuanshun Yao, Tianyi Liu, Taiqing Wang, Jiankai Sun:
Label Inference Attack against Split Learning under Regression Setting. CoRR abs/2301.07284 (2023) - [i36]Mimee Xu, Jiankai Sun, Xin Yang, Kevin Yao, Chong Wang:
Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations. CoRR abs/2302.06676 (2023) - [i35]Chen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei, Danfei Xu, Yuke Zhu, Anima Anandkumar:
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play. CoRR abs/2302.12422 (2023) - [i34]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:
Large AI Models in Health Informatics: Applications, Challenges, and the Future. CoRR abs/2303.11568 (2023) - [i33]Xiaohui Chen, Jiankai Sun, Taiqing Wang, Ruocheng Guo, Li-Ping Liu, Aonan Zhang:
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems. CoRR abs/2305.16391 (2023) - [i32]Jiankai Sun, Shreyas Kousik, David Fridovich-Keil, Mac Schwager:
Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure. CoRR abs/2309.07504 (2023) - [i31]Chuanyang Zheng, Haiming Wang, Enze Xie, Zhengying Liu, Jiankai Sun, Huajian Xin, Jianhao Shen, Zhenguo Li, Yu Li:
Lyra: Orchestrating Dual Correction in Automated Theorem Proving. CoRR abs/2309.15806 (2023) - [i30]Jiankai Sun, Jianing Qiu, Chuanyang Zheng, John Tucker, Javier Yu, Mac Schwager:
Aria-NeRF: Multimodal Egocentric View Synthesis. CoRR abs/2311.06455 (2023) - [i29]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:
Foundation Models in Robotics: Applications, Challenges, and the Future. CoRR abs/2312.07843 (2023) - [i28]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:
A Survey of Reasoning with Foundation Models. CoRR abs/2312.11562 (2023) - 2022
- [j6]Jiankai Sun, De-An Huang, Bo Lu, Yun-Hui Liu, Bolei Zhou, Animesh Garg:
PlaTe: Visually-Grounded Planning With Transformers in Procedural Tasks. IEEE Robotics Autom. Lett. 7(2): 4924-4930 (2022) - [j5]Jianing Qiu, Lipeng Chen, Xiao Gu, Frank P.-W. Lo, Ya-Yen Tsai, Jiankai Sun, Jiaqi Liu, Benny Lo:
Egocentric Human Trajectory Forecasting With a Wearable Camera and Multi-Modal Fusion. IEEE Robotics Autom. Lett. 7(4): 8799-8806 (2022) - [c22]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:
BEHAVIOR-1K: A Benchmark for Embodied AI with 1, 000 Everyday Activities and Realistic Simulation. CoRL 2022: 80-93 - [c21]Oscar Li, Jiankai Sun, Xin Yang, Weihao Gao, Hongyi Zhang, Junyuan Xie, Virginia Smith, Chong Wang:
Label Leakage and Protection in Two-party Split Learning. ICLR 2022 - [c20]Jiankai Sun, Shreyas Kousik, David Fridovich-Keil, Mac Schwager:
Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic Prediction for Smart Cities. ITSC 2022: 917-922 - [c19]Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang:
Differentially private multi-party data release for linear regression. UAI 2022: 2128-2137 - [i27]Jiankai Sun, Xin Yang, Yuanshun Yao, Chong Wang:
Label Leakage and Protection from Forward Embedding in Vertical Federated Learning. CoRR abs/2203.01451 (2022) - [i26]Xin Yang, Jiankai Sun, Yuanshun Yao, Junyuan Xie, Chong Wang:
Differentially Private Label Protection in Split Learning. CoRR abs/2203.02073 (2022) - [i25]Jiankai Sun, Bolei Zhou, Michael J. Black, Arjun Chandrasekaran:
LocATe: End-to-end Localization of Actions in 3D with Transformers. CoRR abs/2203.10719 (2022) - [i24]Jiankai Sun, Shreyas Kousik, David Fridovich-Keil, Mac Schwager:
Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic Prediction for Smart Cities. CoRR abs/2204.06171 (2022) - [i23]Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang:
Differentially Private AUC Computation in Vertical Federated Learning. CoRR abs/2205.12412 (2022) - [i22]Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang:
Differentially Private Multi-Party Data Release for Linear Regression. CoRR abs/2206.07998 (2022) - [i21]Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang:
DPAUC: Differentially Private AUC Computation in Federated Learning. CoRR abs/2208.12294 (2022) - [i20]Jiankai Sun, Yan Xu, Mingyu Ding, Hongwei Yi, Jingdong Wang, Liangjun Zhang, Mac Schwager:
NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields. CoRR abs/2209.12068 (2022) - [i19]Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Yang Liu, Hang Li:
Evaluating Fairness Without Sensitive Attributes: A Framework Using Only Auxiliary Models. CoRR abs/2210.03175 (2022) - [i18]Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang:
DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. CoRR abs/2211.10486 (2022) - 2021
- [j4]Jiankai Sun, Lantao Yu, Pinqian Dong, Bo Lu, Bolei Zhou:
Adversarial Inverse Reinforcement Learning With Self-Attention Dynamics Model. IEEE Robotics Autom. Lett. 6(2): 1880-1886 (2021) - [c18]Jiankai Sun, Rui Liu, Bolei Zhou:
HiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning. AAAI 2021: 9747-9755 - [c17]Weihao Gao, Xiangjun Fan, Chong Wang, Jiankai Sun, Kai Jia, Wenzhi Xiao, Ruofan Ding, Xingyan Bin, Hui Yang, Xiaobing Liu:
Learning An End-to-End Structure for Retrieval in Large-Scale Recommendations. CIKM 2021: 524-533 - [i17]Oscar Li, Jiankai Sun, Xin Yang, Weihao Gao, Hongyi Zhang, Junyuan Xie, Virginia Smith, Chong Wang:
Label Leakage and Protection in Two-party Split Learning. CoRR abs/2102.08504 (2021) - [i16]Jiankai Sun, Xin Yang, Yuanshun Yao, Aonan Zhang, Weihao Gao, Junyuan Xie, Chong Wang:
Vertical Federated Learning without Revealing Intersection Membership. CoRR abs/2106.05508 (2021) - [i15]Jiankai Sun, Yuanshun Yao, Weihao Gao, Junyuan Xie, Chong Wang:
Defending against Reconstruction Attack in Vertical Federated Learning. CoRR abs/2107.09898 (2021) - [i14]Jiankai Sun, De-An Huang, Bo Lu, Yun-Hui Liu, Bolei Zhou, Animesh Garg:
PlaTe: Visually-Grounded Planning with Transformers in Procedural Tasks. CoRR abs/2109.04869 (2021) - [i13]Jianing Qiu, Lipeng Chen, Xiao Gu, Frank Po Wen Lo, Ya-Yen Tsai, Jiankai Sun, Jiaqi Liu, Benny Lo:
Egocentric Human Trajectory Forecasting with a Wearable Camera and Multi-Modal Fusion. CoRR abs/2111.00993 (2021) - 2020
- [j3]Bowen Pan, Jiankai Sun, Ho Yin Tiga Leung, Alex Andonian, Bolei Zhou:
Cross-View Semantic Segmentation for Sensing Surroundings. IEEE Robotics Autom. Lett. 5(3): 4867-4873 (2020) - [c16]Junning Huang, Sirui Xie, Jiankai Sun, Gary Qiurui Ma, Chunxiao Liu, Dahua Lin, Bolei Zhou:
Learning a Decision Module by Imitating Driver's Control Behaviors. CoRL 2020: 1-10 - [c15]Jiankai Sun, Hao Sun, Tian Han, Bolei Zhou:
Neuro-Symbolic Program Search for Autonomous Driving Decision Module Design. CoRL 2020: 21-30 - [c14]Haibao Yu, Tuopu Wen, Guangliang Cheng, Jiankai Sun, Qi Han, Jianping Shi:
Low-bit Quantization Needs Good Distribution. CVPR Workshops 2020: 2909-2918 - [c13]Hongwei Yi, Shaoshuai Shi, Mingyu Ding, Jiankai Sun, Kui Xu, Hui Zhou, Zhe Wang, Sheng Li, Guoping Wang:
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud. ICRA 2020: 2274-2280 - [c12]Xiangyu Chen, Zelin Ye, Jiankai Sun, Yuda Fan, Fang Hu, Chenxi Wang, Cewu Lu:
Transferable Active Grasping and Real Embodied Dataset. ICRA 2020: 3611-3618 - [c11]Jiankai Sun, Jie Zhao, Huan Sun, Srinivasan Parthasarathy:
EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering Services. IJCAI 2020: 3244-3250 - [i12]Hongwei Yi, Shaoshuai Shi, Mingyu Ding, Jiankai Sun, Kui Xu, Hui Zhou, Zhe Wang, Sheng Li, Guoping Wang:
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud. CoRR abs/2002.05316 (2020) - [i11]Xiangyu Chen, Zelin Ye, Jiankai Sun, Yuda Fan, Fang Hu, Chenxi Wang, Cewu Lu:
Transferable Active Grasping and Real Embodied Dataset. CoRR abs/2004.13358 (2020) - [i10]Weihao Gao, Xiangjun Fan, Jiankai Sun, Kai Jia, Wenzhi Xiao, Chong Wang, Xiaobing Liu:
Deep Retrieval: An End-to-End Learnable Structure Model for Large-Scale Recommendations. CoRR abs/2007.07203 (2020)
2010 – 2019
- 2019
- [c10]Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy:
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation. AAAI 2019: 265-272 - [c9]Jiankai Sun, Srinivasan Parthasarathy:
Symmetrization for Embedding Directed Graphs. AAAI 2019: 10043-10044 - [c8]Bowen Pan, Jiankai Sun, Wuwei Lin, Limin Wang, Weiyao Lin:
Cross-Stream Selective Networks for Action Recognition. CVPR Workshops 2019: 454-460 - [c7]Mingyu Ding, Zhe Wang, Jiankai Sun, Jianping Shi, Ping Luo:
CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization. ICCV 2019: 2871-2880 - [i9]Bowen Pan, Jiankai Sun, Alex Andonian, Aude Oliva, Bolei Zhou:
Cross-view Semantic Segmentation for Sensing Surroundings. CoRR abs/1906.03560 (2019) - [i8]Haibao Yu, Tuopu Wen, Guangliang Cheng, Jiankai Sun, Qi Han, Jianping Shi:
GDRQ: Group-based Distribution Reshaping for Quantization. CoRR abs/1908.01477 (2019) - [i7]Jiankai Sun, Jie Zhao, Huan Sun, Srinivasan Parthasarathy:
An End-to-End Framework for Cold Question Routing in Community Question Answering Services. CoRR abs/1911.11017 (2019) - [i6]Junning Huang, Sirui Xie, Jiankai Sun, Gary Qiurui Ma, Chunxiao Liu, Jianping Shi, Dahua Lin, Bolei Zhou:
Learning Driving Decisions by Imitating Drivers' Control Behaviors. CoRR abs/1912.00191 (2019) - 2018
- [j2]Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti, Charles Siegel, Srinivasan Parthasarathy:
ColdRoute: effective routing of cold questions in stack exchange sites. Data Min. Knowl. Discov. 32(5): 1339-1367 (2018) - [c6]Jiankai Sun, Sobhan Moosavi, Rajiv Ramnath, Srinivasan Parthasarathy:
QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites. ICWSM 2018: 375-384 - [c5]Jiongqian Liang, Peter Jacobs, Jiankai Sun, Srinivasan Parthasarathy:
Semi-supervised Embedding in Attributed Networks with Outliers. SDM 2018: 153-161 - [i5]Jiankai Sun, Sobhan Moosavi, Rajiv Ramnath, Srinivasan Parthasarathy:
QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites. CoRR abs/1804.00109 (2018) - [i4]Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti, Charles Siegel, Srinivasan Parthasarathy:
ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites. CoRR abs/1807.00462 (2018) - [i3]He Huang, Yujing Shen, Jiankai Sun, Cewu Lu:
NavigationNet: A Large-scale Interactive Indoor Navigation Dataset. CoRR abs/1808.08374 (2018) - [i2]Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy:
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation. CoRR abs/1811.00839 (2018) - [i1]Jiankai Sun, Srinivasan Parthasarathy:
Symmetrization for Embedding Directed Graphs. CoRR abs/1811.12164 (2018) - 2017
- [c4]Jiankai Sun, Deepak Ajwani, Patrick K. Nicholson, Alessandra Sala, Srinivasan Parthasarathy:
Breaking Cycles In Noisy Hierarchies. WebSci 2017: 151-160 - [c3]Peizhe Cheng, Shuaiqiang Wang, Jun Ma, Jiankai Sun, Hui Xiong:
Learning to Recommend Accurate and Diverse Items. WWW 2017: 183-192 - 2014
- [j1]Shuaiqiang Wang, Jiankai Sun, Byron J. Gao, Jun Ma:
VSRank: A Novel Framework for Ranking-Based Collaborative Filtering. ACM Trans. Intell. Syst. Technol. 5(3): 51:1-51:24 (2014) - 2012
- [c2]Shuaiqiang Wang, Jiankai Sun, Byron J. Gao, Jun Ma:
Adapting vector space model to ranking-based collaborative filtering. CIKM 2012: 1487-1491 - [c1]Jiankai Sun, Shuaiqiang Wang, Byron J. Gao, Jun Ma:
Learning to rank for hybrid recommendation. CIKM 2012: 2239-2242
Coauthor Index
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last updated on 2024-12-03 20:23 CET by the dblp team
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