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ORCIDJing Tang 0004
唐靖
Person information
- unicode name: 唐靖
- affiliation: Hong Kong University of Science and Technology Guangzhou (HKUST-GZ), Guangzhou, China
- affiliation: Hong Kong University of Science and Technology (HKUST), Tai Po Tsai, Hong Kong
- affiliation (former): National University of Singapore, Singapore
- affiliation (PhD 2017): Nanyang Technological University, School of Computer Science and Engineering, Singapore
Other persons with the same name
- Jing Tang — disambiguation page
- Jing Tang 0001 — Teesside University, School of Computing, Middlesbrough, UK (and 1 more)
- Jing Tang 0002
![[0000-0001-7480-7710]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7480-7710")
— University of Helsinki, Institute for Molecular Medicine, Finland (and 1 more) - Jing Tang 0003 — Tokyo Institute of Technology, Department of Industrial Engineering and Management, Graduate School of Decision Science and Technology, Japan
- Jing Tang 0005 — Oakland University, Department of Electrical and Computer Engineering, Rochester, MI, USA
Other persons with a similar name
- Jing-Tang Jang
- Jing-Jou Tang
- Jing-Shia Tang
- Jing-Tian Tang
- Jing-Wei Tang
- Jing-Xian Tang
- Jing Rui Tang
- Jingfan Tang (aka: Jing-fan Tang)
- Jinglei Tang (aka: Jing-Lei Tang) — Northwest A&F University, Yangling, China (and 1 more)
- Xiao-Jing Tang
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2020 – today
- 2025
[j17]Shuang Cui, Kai Han, Jing Tang, Xueying Li, Aakas Zhiyuli, Hanxiao Li:
Practical Parallel Algorithms for Non-Monotone Submodular Maximization. J. Artif. Intell. Res. 82: 39-75 (2025)- [i42]Yuhan Chen, Yihong Luo, Yifan Song, Pengwen Dai, Jing Tang, Xiaochun Cao:
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs. CoRR abs/2502.17912 (2025) - [i41]Yihong Luo, Tianyang Hu, Yifan Song, Jiacheng Sun, Zhenguo Li, Jing Tang:
Adding Additional Control to One-Step Diffusion with Joint Distribution Matching. CoRR abs/2503.06652 (2025) - [i40]Yihong Luo, Tianyang Hu, Weijian Luo, Kenji Kawaguchi, Jing Tang:
Rewards Are Enough for Fast Photo-Realistic Text-to-image Generation. CoRR abs/2503.13070 (2025) - 2024
- [j16]Bing Tong, Yan Zhou, Chen Zhang, Jianheng Tang, Jing Tang, Leihong Yang, Qiye Li, Manwu Lin, Zhongxin Bao, Jia Li, Lei Chen:
Galaxybase: A High Performance Native Distributed Graph Database for HTAP. Proc. VLDB Endow. 17(12): 3893-3905 (2024) - [c36]Yihong Luo, Siya Qiu, Xingjian Tao, Yujun Cai, Jing Tang:
Energy-Calibrated VAE with Test Time Free Lunch. ECCV (85) 2024: 326-344 - [c35]Zhicheng Yang, Yinya Huang, Jing Xiong, Liang Feng, Xiaodan Liang, Yiwei Wang, Jing Tang:
AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations. EMNLP (Findings) 2024: 2857-2896 - [c34]Jing Xiong, Zixuan Li, Chuanyang Zheng, Zhijiang Guo, Yichun Yin, Enze Xie, Zhicheng Yang, Qingxing Cao, Haiming Wang, Xiongwei Han, Jing Tang, Chengming Li, Xiaodan Liang:
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning. ICLR 2024 - [c33]Tianyuan Jin, Yu Yang, Jing Tang, Xiaokui Xiao, Pan Xu:
Optimal Batched Best Arm Identification. NeurIPS 2024 - [c32]Yihong Luo, Yuhan Chen, Siya Qiu, Yiwei Wang, Chen Zhang, Yan Zhou, Xiaochun Cao, Jing Tang:
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification. NeurIPS 2024 - [c31]Haiming Wang, Huajian Xin, Zhengying Liu, Wenda Li, Yinya Huang, Jianqiao Lu, Zhicheng Yang, Jing Tang, Jian Yin, Zhenguo Li, Xiaodan Liang:
Proving Theorems Recursively. NeurIPS 2024 - [c30]Xiaolong Chen, Yifan Song, Jing Tang:
Link Recommendation to Augment Influence Diffusion with Provable Guarantees. WWW 2024: 2509-2518 - [i39]Xiaolong Chen, Yifan Song, Jing Tang:
Link Recommendation to Augment Influence Diffusion with Provable Guarantees. CoRR abs/2402.19189 (2024) - [i38]Yihong Luo, Xiaolong Chen, Jing Tang:
You Only Sample Once: Taming One-Step Text-To-Image Synthesis by Self-Cooperative Diffusion GANs. CoRR abs/2403.12931 (2024) - [i37]Haiming Wang, Huajian Xin, Zhengying Liu, Wenda Li, Yinya Huang, Jianqiao Lu, Zhicheng Yang, Jing Tang, Jian Yin, Zhenguo Li, Xiaodan Liang:
Proving Theorems Recursively. CoRR abs/2405.14414 (2024) - [i36]Jianqiao Lu, Zhengying Liu, Yingjia Wan, Yinya Huang, Haiming Wang, Zhicheng Yang, Jing Tang, Zhijiang Guo:
Process-Driven Autoformalization in Lean 4. CoRR abs/2406.01940 (2024) - [i35]Weilin Cai, Juyong Jiang, Fan Wang, Jing Tang, Sunghun Kim, Jiayi Huang:
A Survey on Mixture of Experts. CoRR abs/2407.06204 (2024) - [i34]Zhicheng Yang, Yinya Huang, Wei Shi, Liang Feng, Linqi Song, Yiwei Wang, Xiaodan Liang, Jing Tang:
Benchmarking LLMs for Optimization Modeling and Enhancing Reasoning via Reverse Socratic Synthesis. CoRR abs/2407.09887 (2024) - [i33]Chansung Park, Juyong Jiang, Fan Wang, Sayak Paul, Jing Tang:
LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs. CoRR abs/2408.13467 (2024) - [i32]Shuzheng Wang, Yue Huang, Wenqin Zhang, Yuming Huang, Xuechao Wang, Jing Tang:
Private Order Flows and Builder Bidding Dynamics: The Road to Monopoly in Ethereum's Block Building Market. CoRR abs/2410.12352 (2024) - [i31]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) - [i30]Yihong Luo, Yuhan Chen, Siya Qiu, Yiwei Wang, Chen Zhang, Yan Zhou, Xiaochun Cao, Jing Tang:
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification. CoRR abs/2410.16845 (2024) - [i29]Tianyuan Jin, Keke Huang, Jing Tang, Xiaokui Xiao:
Optimal Streaming Algorithms for Multi-Armed Bandits. CoRR abs/2410.17835 (2024) - [i28]Qifan Zhang, Xiaobin Hong, Jianheng Tang, Nuo Chen, Yuhan Li, Wenzhong Li, Jing Tang, Jia Li:
GCoder: Improving Large Language Model for Generalized Graph Problem Solving. CoRR abs/2410.19084 (2024) - [i27]Yue Huang, Shuzheng Wang, Yuming Huang, Jing Tang:
Two Sides of the Same Coin: Large-scale Measurements of Builder and Rollup after EIP-4844. CoRR abs/2411.03892 (2024) - [i26]Fan Wang, Juyong Jiang, Chansung Park, Sunghun Kim, Jing Tang:
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models. CoRR abs/2412.06071 (2024) - [i25]Xingjian Tao, Yiwei Wang, Yujun Cai, Zhicheng Yang, Jing Tang:
Are LLMs Really Not Knowledgable? Mining the Submerged Knowledge in LLMs' Memory. CoRR abs/2412.20846 (2024) - 2023
- [j15]Renchi Yang, Jing Tang:
Efficient Estimation of Pairwise Effective Resistance. Proc. ACM Manag. Data 1(1): 16:1-16:27 (2023) - [j14]Yuqing Zhu, Jing Tang, Xueyan Tang, Sibo Wang, Andrew Lim:
2-hop+ Sampling: Efficient and Effective Influence Estimation. IEEE Trans. Knowl. Data Eng. 35(2): 1088-1103 (2023) - [c29]Shuang Cui, Kai Han, Jing Tang, He Huang, Xueying Li, Aakas Zhiyuli:
Practical Parallel Algorithms for Submodular Maximization Subject to a Knapsack Constraint with Nearly Optimal Adaptivity. AAAI 2023: 7261-7269 - [c28]Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen:
How Fragile is Relation Extraction under Entity Replacements? CoNLL 2023: 414-423 - [c27]Yuhan Chen, Yihong Luo, Jing Tang, Liang Yang, Siya Qiu, Chuan Wang, Xiaochun Cao:
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity. IJCAI 2023: 3550-3558 - [c26]Shiqi Zhang, Renchi Yang, Jing Tang, Xiaokui Xiao, Bo Tang:
Efficient Approximation Algorithms for Spanning Centrality. KDD 2023: 3386-3395 - [c25]Shuang Cui, Kai Han, Jing Tang, He Huang, Xueying Li, Zhiyu Li:
Streaming Algorithms for Constrained Submodular Maximization. SIGMETRICS (Abstracts) 2023: 65-66 - [c24]Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao:
Node-wise Diffusion for Scalable Graph Learning. WWW 2023: 1723-1733 - [c23]Shuang Cui, Kai Han, Jing Tang, He Huang:
Constrained Subset Selection from Data Streams for Profit Maximization. WWW 2023: 1822-1831 - [c22]He Huang, Kai Han, Shuang Cui, Jing Tang:
Randomized Pricing with Deferred Acceptance for Revenue Maximization with Submodular Objectives. WWW 2023: 3530-3540 - [i24]Yuhan Chen, Yihong Luo, Jing Tang, Liang Yang, Siya Qiu, Chuan Wang, Xiaochun Cao:
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity. CoRR abs/2305.04225 (2023) - [i23]Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen:
How Fragile is Relation Extraction under Entity Replacements? CoRR abs/2305.13551 (2023) - [i22]Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao:
Node-wise Diffusion for Scalable Graph Learning. CoRR abs/2305.14000 (2023) - [i21]Shiqi Zhang, Renchi Yang, Jing Tang, Xiaokui Xiao, Bo Tang:
Efficient Approximation Algorithms for Spanning Centrality. CoRR abs/2305.16086 (2023) - [i20]Shuang Cui, Kai Han, Jing Tang, He Huang, Xueying Li, Aakas Zhiyuli, Hanxiao Li:
Practical Parallel Algorithms for Non-Monotone Submodular Maximization. CoRR abs/2308.10656 (2023) - [i19]Jing Xiong, Zixuan Li, Chuanyang Zheng, Zhijiang Guo, Yichun Yin, Enze Xie, Zhicheng Yang, Qingxing Cao, Haiming Wang, Xiongwei Han, Jing Tang, Chengming Li, Xiaodan Liang:
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning. CoRR abs/2310.02954 (2023) - [i18]Tianyuan Jin, Yu Yang, Jing Tang, Xiaokui Xiao, Pan Xu:
Optimal Batched Best Arm Identification. CoRR abs/2310.14129 (2023) - [i17]Yihong Luo, Siya Qiu, Xingjian Tao, Yujun Cai, Jing Tang:
Energy-Calibrated VAE with Test Time Free Lunch. CoRR abs/2311.04071 (2023) - [i16]Zhicheng Yang, Yiwei Wang, Yinya Huang, Jing Xiong, Xiaodan Liang, Jing Tang:
Speak Like a Native: Prompting Large Language Models in a Native Style. CoRR abs/2311.13538 (2023) - [i15]Renchi Yang, Jing Tang:
Efficient Estimation of Pairwise Effective Resistance. CoRR abs/2312.06123 (2023) - 2022
- [j13]Qintian Guo, Sibo Wang, Zhewei Wei, Wenqing Lin, Jing Tang:
Influence Maximization Revisited: Efficient Sampling with Bound Tightened. ACM Trans. Database Syst. 47(3): 12:1-12:45 (2022) - [j12]Yuqing Zhu, Jing Tang, Xueyan Tang:
Optimal price profile for influential nodes in online social networks. VLDB J. 31(4): 779-795 (2022) - [c21]Jing Tang, Yuqing Zhu, Xueyan Tang, Kai Han:
Distributed Influence Maximization for Large-Scale Online Social Networks. ICDE 2022: 81-95 - [c20]Qianhao Cong, Jing Tang, Yuming Huang, Lei Chen, Yeow Meng Chee:
Cost-Effective Algorithms for Average-Case Interactive Graph Search. ICDE 2022: 1152-1165 - [c19]Qianhao Cong, Jing Tang, Kai Han, Yuming Huang, Lei Chen, Yeow Meng Chee:
Noisy Interactive Graph Search. KDD 2022: 231-240 - [c18]Qing Xiu, Kai Han, Jing Tang, Shuang Cui, He Huang:
Chromatic Correlation Clustering, Revisited. NeurIPS 2022 - [i14]Qianhao Cong, Jing Tang, Yuming Huang, Lei Chen, Yeow Meng Chee:
Cost-Effective Algorithms for Average-Case Interactive Graph Search. CoRR abs/2201.07944 (2022) - 2021
- [j11]Jing Tang, Xueyan Tang, Andrew Lim, Kai Han, Chongshou Li, Junsong Yuan:
Revisiting Modified Greedy Algorithm for Monotone Submodular Maximization with a Knapsack Constraint. Proc. ACM Meas. Anal. Comput. Syst. 5(1): 08:1-08:22 (2021) - [j10]Shuang Cui, Kai Han, Jing Tang, He Huang, Xueying Li, Zhiyu Li:
Streaming Algorithms for Constrained Submodular Maximization. Proc. ACM Meas. Anal. Comput. Syst. 6(3): 54:1-54:32 (2021) - [j9]Yuqing Zhu, Jing Tang, Xueyan Tang, Lei Chen:
Analysis of Influence Contribution in Social Advertising. Proc. VLDB Endow. 15(2): 348-360 (2021) - [c17]Shuang Cui, Kai Han, Tianshuai Zhu, Jing Tang, Benwei Wu, He Huang:
Randomized Algorithms for Submodular Function Maximization with a k-System Constraint. ICML 2021: 2222-2232 - [c16]Tianyuan Jin, Keke Huang, Jing Tang, Xiaokui Xiao:
Optimal Streaming Algorithms for Multi-Armed Bandits. ICML 2021: 5045-5054 - [c15]Tianyuan Jin, Jing Tang, Pan Xu, Keke Huang, Xiaokui Xiao, Quanquan Gu:
Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits. ICML 2021: 5065-5073 - [c14]Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang:
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer. NeurIPS 2021: 11096-11107 - [c13]Jing Tang, Xueyan Tang, Andrew Lim, Kai Han, Chongshou Li, Junsong Yuan:
Revisiting Modified Greedy Algorithm for Monotone Submodular Maximization with a Knapsack Constraint. SIGMETRICS (Abstracts) 2021: 63-64 - [c12]Kai Han, Benwei Wu, Jing Tang, Shuang Cui, Çigdem Aslay, Laks V. S. Lakshmanan:
Efficient and Effective Algorithms for Revenue Maximization in Social Advertising. SIGMOD Conference 2021: 671-684 - [c11]Yuming Huang, Jing Tang, Qianhao Cong, Andrew Lim, Jianliang Xu:
Do the Rich Get Richer? Fairness Analysis for Blockchain Incentives. SIGMOD Conference 2021: 790-803 - [i13]Yuming Huang, Jing Tang, Qianhao Cong, Andrew Lim, Jianliang Xu:
Do the Rich Get Richer? Fairness Analysis for Blockchain Incentives. CoRR abs/2103.14713 (2021) - [i12]Kai Han, Shuang Cui, Tianshuai Zhu, Jing Tang, Benwei Wu, He Huang:
The Power of Randomization: Efficient and Effective Algorithms for Constrained Submodular Maximization. CoRR abs/2106.07116 (2021) - [i11]Kai Han, Benwei Wu, Jing Tang, Shuang Cui, Çigdem Aslay, Laks V. S. Lakshmanan:
Efficient and Effective Algorithms for Revenue Maximization in Social Advertising. CoRR abs/2107.04997 (2021) - [i10]Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang:
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer. CoRR abs/2110.02544 (2021) - [i9]Yiwei Wang, Yujun Cai, Yuxuan Liang, Wei Wang, Henghui Ding, Muhao Chen, Jing Tang, Bryan Hooi:
Structure-Aware Label Smoothing for Graph Neural Networks. CoRR abs/2112.00499 (2021) - 2020
- [j8]Yuqing Zhu, Jing Tang, Xueyan Tang:
Pricing Influential Nodes in Online Social Networks. Proc. VLDB Endow. 13(10): 1614-1627 (2020) - [j7]Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim:
Efficient approximation algorithms for adaptive influence maximization. VLDB J. 29(6): 1385-1406 (2020) - [c10]Jun Zhao, Jing Tang, Zengxiang Li, Huaxiong Wang, Kwok-Yan Lam, Kaiping Xue:
An Analysis of Blockchain Consistency in Asynchronous Networks: Deriving a Neat Bound. ICDCS 2020: 179-189 - [c9]Keke Huang, Jing Tang, Xiaokui Xiao, Aixin Sun, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Target Profit Maximization. ICDE 2020: 649-660 - [c8]Xinke Li, Chongshou Li, Zekun Tong, Andrew Lim, Junsong Yuan, Yuwei Wu, Jing Tang, Raymond Huang:
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene. ACM Multimedia 2020: 238-246 - [i8]Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Influence Maximization. CoRR abs/2004.06469 (2020) - [i7]Xinke Li, Chongshou Li, Zekun Tong, Andrew Lim, Junsong Yuan, Yuwei Wu, Jing Tang, Raymond Huang:
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene. CoRR abs/2008.04968 (2020) - [i6]Jing Tang, Xueyan Tang, Andrew Lim, Kai Han, Chongshou Li, Junsong Yuan:
Revisiting Modified Greedy Algorithm for Monotone Submodular Maximization with a Knapsack Constraint. CoRR abs/2008.05391 (2020)
2010 – 2019
- 2019
- [j6]Jing Tang, Richard T. B. Ma:
Regulating Monopolistic ISPs Without Neutrality. IEEE J. Sel. Areas Commun. 37(7): 1666-1680 (2019) - [j5]Kai Han, Fei Gui, Xiaokui Xiao, Jing Tang, Yuntian He, Zongmai Cao, He Huang:
Efficient and Effective Algorithms for Clustering Uncertain Graphs. Proc. VLDB Endow. 12(6): 667-680 (2019) - [c7]Jing Tang, Keke Huang, Xiaokui Xiao, Laks V. S. Lakshmanan, Xueyan Tang, Aixin Sun, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Seed Minimization. SIGMOD Conference 2019: 1096-1113 - [i5]Jing Tang, Keke Huang, Xiaokui Xiao, Laks V. S. Lakshmanan, Xueyan Tang, Aixin Sun, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Seed Minimization. CoRR abs/1907.09668 (2019) - [i4]Jun Zhao, Jing Tang, Zengxiang Li, Huaxiong Wang, Kwok-Yan Lam, Kaiping Xue:
An Analysis of Blockchain Consistency in Asynchronous Networks: Deriving a Neat Bound. CoRR abs/1909.06587 (2019) - [i3]Keke Huang, Jing Tang, Xiaokui Xiao, Aixin Sun, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Target Profit Maximization. CoRR abs/1910.13073 (2019) - 2018
- [j4]Kai Han, Keke Huang, Xiaokui Xiao, Jing Tang, Aixin Sun, Xueyan Tang:
Efficient Algorithms for Adaptive Influence Maximization. Proc. VLDB Endow. 11(9): 1029-1040 (2018) - [j3]Jing Tang, Xueyan Tang, Junsong Yuan:
An efficient and effective hop-based approach for influence maximization in social networks. Soc. Netw. Anal. Min. 8(1): 10 (2018) - [j2]Jing Tang, Xueyan Tang, Junsong Yuan:
Profit Maximization for Viral Marketing in Online Social Networks: Algorithms and Analysis. IEEE Trans. Knowl. Data Eng. 30(6): 1095-1108 (2018) - [j1]Jing Tang, Xueyan Tang, Junsong Yuan:
Traffic-Optimized Data Placement for Social Media. IEEE Trans. Multim. 20(4): 1008-1023 (2018) - [c6]Jing Tang, Xueyan Tang, Junsong Yuan:
Towards Profit Maximization for Online Social Network Providers. INFOCOM 2018: 1178-1186 - [c5]Jing Tang, Xueyan Tang, Xiaokui Xiao, Junsong Yuan:
Online Processing Algorithms for Influence Maximization. SIGMOD Conference 2018: 991-1005 - 2017
- [c4]Jing Tang, Xueyan Tang, Junsong Yuan:
Influence Maximization Meets Efficiency and Effectiveness: A Hop-Based Approach. ASONAM 2017: 64-71 - [i2]Jing Tang, Xueyan Tang, Junsong Yuan:
Influence Maximization Meets Efficiency and Effectiveness: A Hop-Based Approach. CoRR abs/1705.10442 (2017) - [i1]Jing Tang, Xueyan Tang, Junsong Yuan:
Towards Profit Maximization for Online Social Network Providers. CoRR abs/1712.08963 (2017) - 2016
- [c3]Jing Tang, Xueyan Tang, Junsong Yuan:
Profit maximization for viral marketing in Online Social Networks. ICNP 2016: 1-10 - 2015
- [c2]Jing Tang, Xueyan Tang, Junsong Yuan:
Optimizing Inter-server Communication for Online Social Networks. ICDCS 2015: 215-224 - 2014
- [c1]Jing Tang, Richard T. B. Ma:
Regulating Monopolistic ISPS without Neutrality. ICNP 2014: 374-384
Coauthor Index
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