Learning to rank for hybrid recommendation. - Jiankai Sun; Shuaiqiang Wang; Byron J. Gao; Jun Ma 001 (CIKM, 2012)

Adapting vector space model to ranking-based collaborative filtering. - Shuaiqiang Wang; Jiankai Sun; Byron J. Gao; Jun Ma 001 (CIKM, 2012)

VSRank: A Novel Framework for Ranking-Based Collaborative Filtering. - Shuaiqiang Wang; Jiankai Sun; Byron J. Gao; Jun Ma 001 (ACM Trans. Intell. Syst. Technol., 2014)

Breaking Cycles In Noisy Hierarchies. - Jiankai Sun; Deepak Ajwani; Patrick K. Nicholson; Alessandra Sala; Srinivasan Parthasarathy 001 (WebSci, 2017)

Learning to Recommend Accurate and Diverse Items. - Peizhe Cheng; Shuaiqiang Wang; Jun Ma 001; Jiankai Sun; Hui Xiong 001 (WWW, 2017)

QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites. - Jiankai Sun; Sobhan Moosavi; Rajiv Ramnath; Srinivasan Parthasarathy 001 (ICWSM, 2018)

Semi-supervised Embedding in Attributed Networks with Outliers. - Jiongqian Liang; Peter Jacobs; Jiankai Sun; Srinivasan Parthasarathy 001 (SDM, 2018)

NavigationNet: A Large-scale Interactive Indoor Navigation Dataset. - He Huang; Yujing Shen; Jiankai Sun; Cewu Lu (CoRR, 2018)

ColdRoute: effective routing of cold questions in stack exchange sites. - Jiankai Sun; Abhinav Vishnu; Aniket Chakrabarti; Charles Siegel; Srinivasan Parthasarathy 001 (Data Min. Knowl. Discov., 2018)

Symmetrization for Embedding Directed Graphs. - Jiankai Sun; Srinivasan Parthasarathy 001 (AAAI, 2019)

ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation. - Jiankai Sun; Bortik Bandyopadhyay; Armin Bashizade; Jiongqian Liang; P. Sadayappan; Srinivasan Parthasarathy 001 (AAAI, 2019)

Cross-Stream Selective Networks for Action Recognition. - Bowen Pan; Jiankai Sun; Wuwei Lin; Limin Wang 002; Weiyao Lin (CVPR Workshops, 2019)

CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization. - Mingyu Ding; Zhe Wang 006; Jiankai Sun; Jianping Shi; Ping Luo 002 (ICCV, 2019)

Cross-view Semantic Segmentation for Sensing Surroundings. - Bowen Pan; Jiankai Sun; Alex Andonian; Aude Oliva; Bolei Zhou (CoRR, 2019)

GDRQ: Group-based Distribution Reshaping for Quantization. - Haibao Yu; Tuopu Wen; Guangliang Cheng; Jiankai Sun; Qi Han; Jianping Shi (CoRR, 2019)

An End-to-End Framework for Cold Question Routing in Community Question Answering Services. - Jiankai Sun; Jie Zhao 013; Huan Sun 001; Srinivasan Parthasarathy 001 (CoRR, 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)

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 (CoRL, 2020)

Neuro-Symbolic Program Search for Autonomous Driving Decision Module Design. - Jiankai Sun; Hao Sun; Tian Han; Bolei Zhou (CoRL, 2020)

Low-bit Quantization Needs Good Distribution. - Haibao Yu; Tuopu Wen; Guangliang Cheng; Jiankai Sun; Qi Han; Jianping Shi (CVPR Workshops, 2020)

Transferable Active Grasping and Real Embodied Dataset. - Xiangyu Chen; Zelin Ye; Jiankai Sun; Yuda Fan; Fang Hu 002; Chenxi Wang 003; Cewu Lu (ICRA, 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 004; Hui Zhou 005; Zhe Wang 006; Sheng Li 008; Guoping Wang (ICRA, 2020)

EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering Services. - Jiankai Sun; Jie Zhao 013; Huan Sun 001; Srinivasan Parthasarathy 001 (IJCAI, 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 002; Xiaobing Liu (CoRR, 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)

HiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning. - Jiankai Sun; Rui Liu; Bolei Zhou (AAAI, 2021)

Learning An End-to-End Structure for Retrieval in Large-Scale Recommendations. - Weihao Gao; Xiangjun Fan; Chong Wang 002; Jiankai Sun; Kai Jia; Wenzhi Xiao; Ruofan Ding; Xingyan Bin; Hui Yang; Xiaobing Liu (CIKM, 2021)

Vertical Federated Learning without Revealing Intersection Membership. - Jiankai Sun; Xin Yang 017; Yuanshun Yao; Aonan Zhang; Weihao Gao; Junyuan Xie; Chong Wang 002 (CoRR, 2021)

Defending against Reconstruction Attack in Vertical Federated Learning. - Jiankai Sun; Yuanshun Yao; Weihao Gao; Junyuan Xie; Chong Wang 002 (CoRR, 2021)

Adversarial Inverse Reinforcement Learning With Self-Attention Dynamics Model. - Jiankai Sun; Lantao Yu; Pinqian Dong; Bo Lu 001; Bolei Zhou (IEEE Robotics Autom. Lett., 2021)

BEHAVIOR-1K: A Benchmark for Embodied AI with 1, 000 Everyday Activities and Realistic Simulation. - Chengshu Li 002; Ruohan Zhang; Josiah Wong; Cem Gokmen; Sanjana Srivastava; Roberto Martín-Martín; Chen Wang 053; Gabrael Levine; Michael Lingelbach; Jiankai Sun; Mona Anvari; Minjune Hwang; et al. (CoRL, 2022)

Label Leakage and Protection in Two-party Split Learning. - Oscar Li; Jiankai Sun; Xin Yang 017; Weihao Gao; Hongyi Zhang; Junyuan Xie; Virginia Smith; Chong Wang 002 (ICLR, 2022)

Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic Prediction for Smart Cities. - Jiankai Sun; Shreyas Kousik; David Fridovich-Keil; Mac Schwager (ITSC, 2022)

Differentially private multi-party data release for linear regression. - Ruihan Wu; Xin Yang 017; Yuanshun Yao; Jiankai Sun; Tianyi Liu; Kilian Q. Weinberger; Chong Wang 002 (UAI, 2022)

Label Leakage and Protection from Forward Embedding in Vertical Federated Learning. - Jiankai Sun; Xin Yang 017; Yuanshun Yao; Chong Wang 002 (CoRR, 2022)

Differentially Private Label Protection in Split Learning. - Xin Yang 017; Jiankai Sun; Yuanshun Yao; Junyuan Xie; Chong Wang 002 (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 AUC Computation in Vertical Federated Learning. - Jiankai Sun; Xin Yang 017; Yuanshun Yao; Junyuan Xie; Di Wu; Chong Wang 002 (CoRR, 2022)

NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields. - Jiankai Sun; Yan Xu 001; Mingyu Ding; Hongwei Yi; Jingdong Wang 001; Liangjun Zhang; Mac Schwager (CoRR, 2022)

Evaluating Fairness Without Sensitive Attributes: A Framework Using Only Auxiliary Models. - Zhaowei Zhu; Yuanshun Yao; Jiankai Sun; Yang Liu 018; Hang Li 001 (CoRR, 2022)

Egocentric Human Trajectory Forecasting With a Wearable Camera and Multi-Modal Fusion. - Jianing Qiu; Lipeng Chen; Xiao Gu 003; Frank P.-W. Lo; Ya-Yen Tsai; Jiankai Sun; Jiaqi Liu; Benny Lo (IEEE Robotics Autom. Lett., 2022)

PlaTe: Visually-Grounded Planning With Transformers in Procedural Tasks. - Jiankai Sun; De-An Huang; Bo Lu 001; Yun-Hui Liu 001; Bolei Zhou; Animesh Garg (IEEE Robotics Autom. Lett., 2022)

DPAUC: Differentially Private AUC Computation in Federated Learning. - Jiankai Sun; Xin Yang 017; Yuanshun Yao; Junyuan Xie; Di Wu; Chong Wang 002 (AAAI, 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 (CGI (4), 2023)

PSLF: Defending Against Label Leakage in Split Learning. - Xinwei Wan; Jiankai Sun; Shengjie Wang 001; Lei Chen 096; Zhenzhe Zheng; Fan Wu 006; Guihai Chen (CIKM, 2023)

MimicPlay: Long-Horizon Imitation Learning by Watching Human Play. - Chen Wang 053; Linxi Fan; Jiankai Sun; Ruohan Zhang; Li Fei-Fei 001; Danfei Xu; Yuke Zhu; Anima Anandkumar (CoRL, 2023)

Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes. - Zhaowei Zhu; Yuanshun Yao; Jiankai Sun; Hang Li 001; Yang Liu 018 (ICML, 2023)

Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure. - Jiankai Sun; Shreyas Kousik; David Fridovich-Keil; Mac Schwager (ITSC, 2023)

Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems. - Xiaohui Chen; Jiankai Sun; Taiqing Wang; Ruocheng Guo; Li-Ping Liu 001; Aonan Zhang (KDD, 2023)

Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model. - Jiankai Sun; Yiqi Jiang; Jianing Qiu; Parth Nobel; Mykel J. Kochenderfer; Mac Schwager (NeurIPS, 2023)

DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. - Liangwei Yang; Shengjie Wang 001; Yunzhe Tao; Jiankai Sun; Xiaolong Liu; Philip S. Yu; Taiqing Wang (WSDM, 2023)

Label Inference Attack against Split Learning under Regression Setting. - Shangyu Xie; Xin Yang 017; Yuanshun Yao; Tianyi Liu; Taiqing Wang; Jiankai Sun (CoRR, 2023)

Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations. - Mimee Xu; Jiankai Sun; Xin Yang 017; Kevin Yao; Chong Wang 002 (CoRR, 2023)

Large AI Models in Health Informatics: Applications, Challenges, and the Future. - Jianing Qiu; Lin Li 070; Jiankai Sun; Jiachuan Peng; Peilun Shi; Ruiyang Zhang; Yinzhao Dong; Kyle Lam; Frank P.-W. Lo; Bo Xiao 002; Wu Yuan 001; Dong Xu 002; et al. (CoRR, 2023)

Aria-NeRF: Multimodal Egocentric View Synthesis. - Jiankai Sun; Jianing Qiu; Chuanyang Zheng; John Tucker 001; Javier Yu; Mac Schwager (CoRR, 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 001; Mengzhe Geng; Yue Wu 002; Wenhai Wang; et al. (CoRR, 2023)

Lightweight bidirectional long short-term memory based on automated model pruning with application to bearing remaining useful life prediction. - Jiankai Sun; Xin Zhang 121; Jiaxu Wang (Eng. Appl. Artif. Intell., 2023)

NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields. - Jiankai Sun; Yan Xu 001; Mingyu Ding; Hongwei Yi; Chen Wang 053; Jingdong Wang 001; Liangjun Zhang; Mac Schwager (IEEE Robotics Autom. Lett., 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., 2023)

Large AI Models in Health Informatics: Applications, Challenges, and the Future. - Jianing Qiu; Lin Li 070; Jiankai Sun; Jiachuan Peng; Peilun Shi; Ruiyang Zhang; Yinzhao Dong; Kyle Lam; Frank P.-W. Lo; Bo Xiao 002; Wu Yuan 001; Ningli Wang; et al. (IEEE J. Biomed. Health Informatics, 2023)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

Privacy Preserving Conversion Modeling in Data Clean Room. - Kungang Li; Xiangyi Chen; Ling Leng; Jiajing Xu; Jiankai Sun; Behnam Rezaei (RecSys, 2024)

Leveraging Print Debugging to Improve Code Generation in Large Language Models. - Xueyu Hu; Kun Kuang; Jiankai Sun; Hongxia Yang; Fei Wu 001 (CoRR, 2024)

BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1, 000 Everyday Activities and Realistic Simulation. - Chengshu Li 002; Ruohan Zhang; Josiah Wong; Cem Gokmen; Sanjana Srivastava; Roberto Martín-Martín; Chen Wang 053; Gabrael Levine; Wensi Ai; Benjamin Jose Martinez; Hang Yin 010; Michael Lingelbach; et al. (CoRR, 2024)

Hierarchical Hybrid Learning for Long-Horizon Contact-Rich Robotic Assembly. - Jiankai Sun; Aidan Curtis; Yang You 004; Yan Xu 001; Michael Koehle; Leonidas J. Guibas; Sachin Chitta; Mac Schwager; Hui Li (CoRR, 2024)

NodeOP: Optimizing Node Management for Decentralized Networks. - Angela Tsang; Jiankai Sun; Boo Xie; Azeem Khan; Ender Lu; Fletcher Fan; Maggie Wu; Jing Tang 004 (CoRR, 2024)

FAST-Splat: Fast, Ambiguity-Free Semantics Transfer in Gaussian Splatting. - Ola Shorinwa; Jiankai Sun; Mac Schwager (CoRR, 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 006 (Trans. Mach. Learn. Res., 2024)

SeqPO-SiMT: Sequential Policy Optimization for Simultaneous Machine Translation. - Ting Xu; Zhichao Huang; Jiankai Sun; Shanbo Cheng; Wai Lam (ACL (Findings), 2025)

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 Ng 001; Xin Jiang; Zhenguo Li; Yu Li (ACL (1), 2025)

Foundation models in robotics: Applications, challenges, and the future. - Roya Firoozi; John Tucker 001; Stephen Tian; Anirudha Majumdar; Jiankai Sun; Weiyu Liu; Yuke Zhu; Shuran Song; Ashish Kapoor; Karol Hausman; Brian Ichter; Danny Driess; et al. (Int. J. Robotics Res., 2025)

SIREN: Semantic, Initialization-Free Registration of Multi-Robot Gaussian Splatting Maps. - Ola Shorinwa; Jiankai Sun; Mac Schwager; Anirudha Majumdar (CoRR, 2025)

GRaD-Nav: Efficiently Learning Visual Drone Navigation with Gaussian Radiance Fields and Differentiable Dynamics. - Qianzhong Chen; Jiankai Sun; Naixiang Gao; JunEn Low; Timothy Chen; Mac Schwager (CoRR, 2025)

CoinRobot: Generalized End-to-end Robotic Learning for Physical Intelligence. - Yu Zhao; Huxian Liu; Xiang Chen; Jiankai Sun; Jiahuan Yan; Luhui Hu (CoRR, 2025)

Emerging Cyber Attack Risks of Medical AI Agents. - Jianing Qiu; Lin Li 070; Jiankai Sun; Hao Wei; Zhe Xu 012; Kyle Lam; Wu Yuan 001 (CoRR, 2025)

Spatial RoboGrasp: Generalized Robotic Grasping Control Policy. - Yiqi Huang; Travis Davies; Jiahuan Yan; Jiankai Sun; Xiang Chen; Luhui Hu (CoRR, 2025)

GRaD-Nav++: Vision-Language Model Enabled Visual Drone Navigation with Gaussian Radiance Fields and Differentiable Dynamics. - Qianzhong Chen; Naixiang Gao; Suning Huang; JunEn Low; Timothy Chen; Jiankai Sun; Mac Schwager (CoRR, 2025)

ParticleFormer: A 3D Point Cloud World Model for Multi-Object, Multi-Material Robotic Manipulation. - Suning Huang; Qianzhong Chen; Xiaohan Zhang; Jiankai Sun; Mac Schwager (CoRR, 2025)

SynapseRoute: An Auto-Route Switching Framework on Dual-State Large Language Model. - Wencheng Zhang; Shiqin Qiao; Lingjie Luo; Yinfeng Li; Chuanyang Zheng; Qian Xu; Meng Li; Yong Gui; Yijun He; Jianing Qiu; Jindong Hong; Jiankai Sun (CoRR, 2025)

Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation. - Liliang Ren; Congcong Chen; Haoran Xu; Young Jin Kim 001; Adam Atkinson; Zheng Zhan 004; Jiankai Sun; Baolin Peng; Liyuan Liu; Shuohang Wang; Hao Cheng 002; Jianfeng Gao 001; et al. (CoRR, 2025)

SAS: Simulated Attention Score. - Chuanyang Zheng; Jiankai Sun; Yihang Gao; Yuehao Wang; Peihao Wang; Jing Xiong; Liliang Ren; Hao Cheng 002; Janardhan Kulkarni; Yelong Shen; Atlas Wang; Mac Schwager; et al. (CoRR, 2025)

PERRY: Policy Evaluation with Confidence Intervals using Auxiliary Data. - Aishwarya Mandyam; Jason Meng; Ge Gao; Jiankai Sun; Mac Schwager; Barbara E. Engelhardt; Emma Brunskill (CoRR, 2025)

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition. - Ruiyang Hao; Haibao Yu; Jiaru Zhong; Chuanye Wang; Jiahao Wang; Yiming Kan; Wenxian Yang; Siqi Fan 002; Huilin Yin; Jianing Qiu; Yao Mu 001; Jiankai Sun; et al. (CoRR, 2025)

A Survey of Reasoning with Foundation Models: Concepts, Methodologies, and Outlook. - Jiankai Sun; Chuanyang Zheng; Enze Xie; Zhengying Liu; Ruihang Chu; Jianing Qiu; Jiaqi Xu; Mingyu Ding; Hongyang Li 001; Mengzhe Geng; Yue Wu 012; Wenhai Wang; et al. (ACM Comput. Surv., 2025)