Jing Tang

137 papers A* 29A 3B 4Journal 87Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accordion-Thinking: Self-Regulated Step Summaries for Efficient and Readable LLM Reasoning.
CoRR
Zhicheng Yang, Zhijiang Guo, Yinya Huang, Yongxin Wang, Wenlei Shi, Yiwei Wang, Xiaodan Liang, Jing Tang
2026 J jnl
Efficient Algorithms for Budgeted Profit Maximization With Theoretical Guarantees.
IEEE Trans. Knowl. Data Eng.
Qintian Guo, Chen Feng, Jieming Shi, Jing Tang, Xiaofang Zhou, Sibo Wang
2026 J jnl
Exposing Weaknesses of Large Reasoning Models through Graph Algorithm Problems.
CoRR
Qifan Zhang, Jianhao Ruan, Aochuan Chen, Kang Zeng, Nuo Chen, Jing Tang, Jia Li
2026 — conf
IMGNN: An Efficient, Effective and Generalizable Algorithm for Influence Maximization in Social Networks.
KDD (1)
Haotian Zhang, Kai Han, Zhizhuo Yin, Shuang Cui, Jing Tang, Pan Hui
2026 J jnl
Indexing Spatio-Temporal Maritime Trajectories for Route Prediction.
IEEE Trans. Knowl. Data Eng.
Siya Qiu, Yihong Luo, Mauricio Collado, Qiong Luo, Jing Tang
2026 J jnl
PRIME: Efficient Algorithm for Token Graph Routing Problem.
CoRR
Haotian Xu, Yuqing Zhu, Yuming Huang, Jing Tang
2026 — conf
Signed Proximity Matters in Graph-based Recommendation.
KDD (1)
Yifan Song, Renchi Yang, Jing Tang
2026 J jnl
TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models.
CoRR
Chansung Park, Juyong Jiang, Fan Wang, Sayak Paul, Jiasi Shen, Jing Tang, Jianguo Li
2026 J jnl
TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward.
CoRR
Yihong Luo, Tianyang Hu, Weijian Luo, Jing Tang
2026 J jnl
ViewFusion: Structured Spatial Thinking Chains for Multi-View Reasoning.
CoRR
Xingjian Tao, Yiwei Wang, Yujun Cai, Yifan Song, Jing Tang
2025 J jnl
A Survey on Mixture of Experts in Large Language Models.
IEEE Trans. Knowl. Data Eng.
Weilin Cai, Juyong Jiang, Fan Wang, Jing Tang, Sunghun Kim, Jiayi Huang
2025 J jnl
Adding Additional Control to One-Step Diffusion with Joint Distribution Matching.
CoRR
Yihong Luo, Tianyang Hu, Yifan Song, Jiacheng Sun, Zhenguo Li, Jing Tang
2025 J jnl
Critique to Verify: Accurate and Honest Test-Time Scaling with RL-Trained Verifiers.
CoRR
Zhicheng Yang, Zhijiang Guo, Yinya Huang, Yongxin Wang, Yiwei Wang, Xiaodan Liang, Jing Tang
2025 J jnl
DDFI: Diverse and Distribution-aware Missing Feature Imputation via Two-step Reconstruction.
CoRR
Yifan Song, Fenglin Yu, Yihong Luo, Xingjian Tao, Siya Qiu, Kai Han, Jing Tang
2025 A* conf
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs.
ICLR
Yuhan Chen, Yihong Luo, Yifan Song, Pengwen Dai, Jing Tang, Xiaochun Cao
2025 J jnl
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs.
CoRR
Yuhan Chen, Yihong Luo, Yifan Song, Pengwen Dai, Jing Tang, Xiaochun Cao
2025 J jnl
Depth-Breadth Synergy in RLVR: Unlocking LLM Reasoning Gains with Adaptive Exploration.
CoRR
Zhicheng Yang, Zhijiang Guo, Yinya Huang, Yongxin Wang, Dongchun Xie, Yiwei Wang, Xiaodan Liang, Jing Tang
2025 J jnl
Efficient Approximate Nearest Neighbor Search via Hemi-Sphere Centroids Graph.
Proc. ACM Manag. Data
Runwen Qiu, Jing Tang
2025 J jnl
Emission-GPT: A domain-specific language model agent for knowledge retrieval, emission inventory and data analysis.
CoRR
Jiashu Ye, Tong Wu, Weiwen Chen, Hao Zhang, Zeteng Lin, Xingxing Li, Shujuan Weng, Manni Zhu, Xin Yuan, Xinlong Hong, Jingjie Li, Junyu Zheng, Zhijiong Huang, Jing Tang
2025 A conf
GCoder: Improving Large Language Model for Generalized Graph Reasoning.
CIKM
Qifan Zhang, Xiaobin Hong, Jianheng Tang, Nuo Chen, Yuhan Li, Wenzhong Li, Jing Tang, Jia Li
2025 A* conf
How to Make Large Language Models Generate 100% Valid Molecules?
EMNLP
Wen Tao, Jing Tang, Alvin Chan, Bryan Hooi, Baolong Bi, Nanyun Peng, Yuansheng Liu, Yiwei Wang
2025 J jnl
How to Make Large Language Models Generate 100% Valid Molecules?
CoRR
Wen Tao, Jing Tang, Alvin Chan, Bryan Hooi, Baolong Bi, Nanyun Peng, Yuansheng Liu, Yiwei Wang
2025 J jnl
IUT-Plug: A Plug-in tool for Interleaved Image-Text Generation.
CoRR
Zeteng Lin, Xingxing Li, Wen You, Xiaoyang Li, Zehan Lu, Yujun Cai, Jing Tang
2025 J jnl
Improving LLMs' Generalized Reasoning Abilities by Graph Problems.
CoRR
Qifan Zhang, Nuo Chen, Zehua Li, Miao Peng, Jing Tang, Jia Li
2025 A* conf
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models.
ICLR
Fan Wang, Juyong Jiang, Chansung Park, Sunghun Kim, Jing Tang
2025 J jnl
LLM-Powered Interactive Graph Search: A Scalable and Practical Approach.
Proc. ACM Manag. Data
Han Linghu, Qianhao Cong, Yuming Huang, Shangqi Lu, Liang Feng, Jing Tang
2025 J jnl
Learning Few-Step Diffusion Models by Trajectory Distribution Matching.
CoRR
Yihong Luo, Tianyang Hu, Jiacheng Sun, Yujun Cai, Jing Tang
2025 A* conf
Linear-Time Algorithms for Representative Subset Selection From Data Streams.
WWW
Shuang Cui, Kai Han, Jing Tang
2025 — conf
LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs.
ACL (1)
Chansung Park, Juyong Jiang, Fan Wang, Sayak Paul, Jing Tang
2025 J jnl
Mitigating Coordinate Prediction Bias from Positional Encoding Failures.
CoRR
Xingjian Tao, Yiwei Wang, Yujun Cai, Yihong Luo, Jing Tang
2025 J jnl
Noise Consistency Training: A Native Approach for One-Step Generator in Learning Additional Controls.
CoRR
Yihong Luo, Shuchen Xue, Tianyang Hu, Jing Tang
2025 A* conf
OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling.
ICLR
Zhicheng Yang, Yiwei Wang, Yinya Huang, Zhijiang Guo, Wei Shi, Xiongwei Han, Liang Feng, Linqi Song, Xiaodan Liang, Jing Tang
2025 J jnl
Practical Parallel Algorithms for Non-Monotone Submodular Maximization.
J. Artif. Intell. Res.
Shuang Cui, Kai Han, Jing Tang, Xueying Li, Aakas Zhiyuli, Hanxiao Li
2025 A* conf
Private Order Flows and Builder Bidding Dynamics: The Road to Monopoly in Ethereum's Block Building Market.
WWW
Shuzheng Wang, Yue Huang, Wenqin Zhang, Yuming Huang, Xuechao Wang, Jing Tang
2025 J jnl
Reinforcing Diffusion Models by Direct Group Preference Optimization.
CoRR
Yihong Luo, Tianyang Hu, Jing Tang
2025 J jnl
Rewards Are Enough for Fast Photo-Realistic Text-to-image Generation.
CoRR
Yihong Luo, Tianyang Hu, Weijian Luo, Kenji Kawaguchi, Jing Tang
2025 — conf
Scalable Link Recommendation for Influence Maximization.
KDD (1)
Xiaolong Chen, Jing Tang
2025 J jnl
Self-Guided Process Reward Optimization with Redefined Step-wise Advantage for Process Reinforcement Learning.
CoRR
Wu Fei, Hao Kong, Shuxian Liang, Yang Lin, Yibo Yang, Jing Tang, Lei Chen, Xian-Sheng Hua
2025 — conf
The Last Survivor of PoS Pools: Staker's Dilemma.
SIGMETRICS (Abstracts)
Yuming Huang, Jing Tang, Qianhao Cong, Richard T. B. Ma, Lei Chen, Yeow Meng Chee
2025 J jnl
The Last Survivor of PoS Pools: Staker's Dilemma.
Proc. ACM Meas. Anal. Comput. Syst.
Yuming Huang, Jing Tang, Qianhao Cong, Richard T. B. Ma, Lei Chen, Yeow Meng Chee
2025 J jnl
TraceLLM: Security Diagnosis Through Traces and Smart Contracts in Ethereum.
CoRR
Shuzheng Wang, Yue Huang, Zhuoer Xu, Yuming Huang, Jing Tang
2025 J jnl
TreeRPO: Tree Relative Policy Optimization.
CoRR
Zhicheng Yang, Zhijiang Guo, Yinya Huang, Xiaodan Liang, Yiwei Wang, Jing Tang
2025 — conf
Understanding GUI Agent Localization Biases through Logit Sharpness.
EMNLP (Findings)
Xingjian Tao, Yiwei Wang, Yujun Cai, Zhicheng Yang, Jing Tang
2025 J jnl
Understanding GUI Agent Localization Biases through Logit Sharpness.
CoRR
Xingjian Tao, Yiwei Wang, Yujun Cai, Zhicheng Yang, Jing Tang
2025 A* conf
You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs.
ICLR
Yihong Luo, Xiaolong Chen, Xinghua Qu, Tianyang Hu, Jing Tang
2024 J jnl
A Survey on Mixture of Experts.
CoRR
Weilin Cai, Juyong Jiang, Fan Wang, Jing Tang, Sunghun Kim, Jiayi Huang
2024 — conf
AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations.
EMNLP (Findings)
Zhicheng Yang, Yinya Huang, Jing Xiong, Liang Feng, Xiaodan Liang, Yiwei Wang, Jing Tang
2024 J jnl
Are LLMs Really Not Knowledgable? Mining the Submerged Knowledge in LLMs' Memory.
CoRR
Xingjian Tao, Yiwei Wang, Yujun Cai, Zhicheng Yang, Jing Tang
2024 J jnl
Benchmarking LLMs for Optimization Modeling and Enhancing Reasoning via Reverse Socratic Synthesis.
CoRR
Zhicheng Yang, Yinya Huang, Wei Shi, Liang Feng, Linqi Song, Yiwei Wang, Xiaodan Liang, Jing Tang
2024 A* conf
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning.
ICLR
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
2024 J jnl
Efficient Graph Embedding Generation and Update for Large-Scale Temporal Graph.
Proc. VLDB Endow.
Yifan Song, Xiaolong Chen, Wenqing Lin, Jia Li, Chen Zhang, Yan Zhou, Lei Chen, Jing Tang
2024 — conf
Energy-Calibrated VAE with Test Time Free Lunch.
ECCV (85)
Yihong Luo, Siya Qiu, Xingjian Tao, Yujun Cai, Jing Tang
2024 A* conf
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification.
NeurIPS
Yihong Luo, Yuhan Chen, Siya Qiu, Yiwei Wang, Chen Zhang, Yan Zhou, Xiaochun Cao, Jing Tang
2024 J jnl
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification.
CoRR
Yihong Luo, Yuhan Chen, Siya Qiu, Yiwei Wang, Chen Zhang, Yan Zhou, Xiaochun Cao, Jing Tang
2024 J jnl
GCoder: Improving Large Language Model for Generalized Graph Problem Solving.
CoRR
Qifan Zhang, Xiaobin Hong, Jianheng Tang, Nuo Chen, Yuhan Li, Wenzhong Li, Jing Tang, Jia Li
2024 J jnl
Galaxybase: A High Performance Native Distributed Graph Database for HTAP.
Proc. VLDB Endow.
Bing Tong, Yan Zhou, Chen Zhang, Jianheng Tang, Jing Tang, Leihong Yang, Qiye Li, Manwu Lin, Zhongxin Bao, Jia Li, Lei Chen
2024 J jnl
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models.
CoRR
Fan Wang, Juyong Jiang, Chansung Park, Sunghun Kim, Jing Tang
2024 A* conf
Link Recommendation to Augment Influence Diffusion with Provable Guarantees.
WWW
Xiaolong Chen, Yifan Song, Jing Tang
2024 J jnl
Link Recommendation to Augment Influence Diffusion with Provable Guarantees.
CoRR
Xiaolong Chen, Yifan Song, Jing Tang
2024 J jnl
LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs.
CoRR
Chansung Park, Juyong Jiang, Fan Wang, Sayak Paul, Jing Tang
2024 J jnl
NodeOP: Optimizing Node Management for Decentralized Networks.
CoRR
Angela Tsang, Jiankai Sun, Boo Xie, Azeem Khan, Ender Lu, Fletcher Fan, Maggie Wu, Jing Tang
2024 A* conf
Optimal Batched Best Arm Identification.
NeurIPS
Tianyuan Jin, Yu Yang, Jing Tang, Xiaokui Xiao, Pan Xu
2024 J jnl
Optimal Streaming Algorithms for Multi-Armed Bandits.
CoRR
Tianyuan Jin, Keke Huang, Jing Tang, Xiaokui Xiao
2024 J jnl
Private Order Flows and Builder Bidding Dynamics: The Road to Monopoly in Ethereum's Block Building Market.
CoRR
Shuzheng Wang, Yue Huang, Wenqin Zhang, Yuming Huang, Xuechao Wang, Jing Tang
2024 J jnl
Process-Driven Autoformalization in Lean 4.
CoRR
Jianqiao Lu, Zhengying Liu, Yingjia Wan, Yinya Huang, Haiming Wang, Zhicheng Yang, Jing Tang, Zhijiang Guo
2024 A* conf
Proving Theorems Recursively.
NeurIPS
Haiming Wang, Huajian Xin, Zhengying Liu, Wenda Li, Yinya Huang, Jianqiao Lu, Zhicheng Yang, Jing Tang, Jian Yin, Zhenguo Li, Xiaodan Liang
2024 J jnl
Proving Theorems Recursively.
CoRR
Haiming Wang, Huajian Xin, Zhengying Liu, Wenda Li, Yinya Huang, Jianqiao Lu, Zhicheng Yang, Jing Tang, Jian Yin, Zhenguo Li, Xiaodan Liang
2024 J jnl
Two Sides of the Same Coin: Large-scale Measurements of Builder and Rollup after EIP-4844.
CoRR
Yue Huang, Shuzheng Wang, Yuming Huang, Jing Tang
2024 J jnl
You Only Sample Once: Taming One-Step Text-To-Image Synthesis by Self-Cooperative Diffusion GANs.
CoRR
Yihong Luo, Xiaolong Chen, Jing Tang
2023 J jnl
2-hop+ Sampling: Efficient and Effective Influence Estimation.
IEEE Trans. Knowl. Data Eng.
Yuqing Zhu, Jing Tang, Xueyan Tang, Sibo Wang, Andrew Lim
2023 A* conf
Constrained Subset Selection from Data Streams for Profit Maximization.
WWW
Shuang Cui, Kai Han, Jing Tang, He Huang
2023 J jnl
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning.
CoRR
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
2023 A* conf
Efficient Approximation Algorithms for Spanning Centrality.
KDD
Shiqi Zhang, Renchi Yang, Jing Tang, Xiaokui Xiao, Bo Tang
2023 J jnl
Efficient Approximation Algorithms for Spanning Centrality.
CoRR
Shiqi Zhang, Renchi Yang, Jing Tang, Xiaokui Xiao, Bo Tang
2023 J jnl
Efficient Estimation of Pairwise Effective Resistance.
CoRR
Renchi Yang, Jing Tang
2023 J jnl
Efficient Estimation of Pairwise Effective Resistance.
Proc. ACM Manag. Data
Renchi Yang, Jing Tang
2023 J jnl
Energy-Calibrated VAE with Test Time Free Lunch.
CoRR
Yihong Luo, Siya Qiu, Xingjian Tao, Yujun Cai, Jing Tang
2023 B conf
How Fragile is Relation Extraction under Entity Replacements?
CoNLL
Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen
2023 J jnl
How Fragile is Relation Extraction under Entity Replacements?
CoRR
Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen
2023 A* conf
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity.
IJCAI
Yuhan Chen, Yihong Luo, Jing Tang, Liang Yang, Siya Qiu, Chuan Wang, Xiaochun Cao
2023 J jnl
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity.
CoRR
Yuhan Chen, Yihong Luo, Jing Tang, Liang Yang, Siya Qiu, Chuan Wang, Xiaochun Cao
2023 A* conf
Node-wise Diffusion for Scalable Graph Learning.
WWW
Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao
2023 J jnl
Node-wise Diffusion for Scalable Graph Learning.
CoRR
Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao
2023 J jnl
Optimal Batched Best Arm Identification.
CoRR
Tianyuan Jin, Yu Yang, Jing Tang, Xiaokui Xiao, Pan Xu
2023 J jnl
Practical Parallel Algorithms for Non-Monotone Submodular Maximization.
CoRR
Shuang Cui, Kai Han, Jing Tang, He Huang, Xueying Li, Aakas Zhiyuli, Hanxiao Li
2023 A* conf
Practical Parallel Algorithms for Submodular Maximization Subject to a Knapsack Constraint with Nearly Optimal Adaptivity.
AAAI
Shuang Cui, Kai Han, Jing Tang, He Huang, Xueying Li, Aakas Zhiyuli
2023 A* conf
Randomized Pricing with Deferred Acceptance for Revenue Maximization with Submodular Objectives.
WWW
He Huang, Kai Han, Shuang Cui, Jing Tang
2023 J jnl
Speak Like a Native: Prompting Large Language Models in a Native Style.
CoRR
Zhicheng Yang, Yiwei Wang, Yinya Huang, Jing Xiong, Xiaodan Liang, Jing Tang
2023 — conf
Streaming Algorithms for Constrained Submodular Maximization.
SIGMETRICS (Abstracts)
Shuang Cui, Kai Han, Jing Tang, He Huang, Xueying Li, Zhiyu Li
2022 A* conf
Chromatic Correlation Clustering, Revisited.
NeurIPS
Qing Xiu, Kai Han, Jing Tang, Shuang Cui, He Huang
2022 A* conf
Cost-Effective Algorithms for Average-Case Interactive Graph Search.
ICDE
Qianhao Cong, Jing Tang, Yuming Huang, Lei Chen, Yeow Meng Chee
2022 J jnl
Cost-Effective Algorithms for Average-Case Interactive Graph Search.
CoRR
Qianhao Cong, Jing Tang, Yuming Huang, Lei Chen, Yeow Meng Chee
2022 A* conf
Distributed Influence Maximization for Large-Scale Online Social Networks.
ICDE
Jing Tang, Yuqing Zhu, Xueyan Tang, Kai Han
2022 J jnl
Influence Maximization Revisited: Efficient Sampling with Bound Tightened.
ACM Trans. Database Syst.
Qintian Guo, Sibo Wang, Zhewei Wei, Wenqing Lin, Jing Tang
2022 A* conf
Noisy Interactive Graph Search.
KDD
Qianhao Cong, Jing Tang, Kai Han, Yuming Huang, Lei Chen, Yeow Meng Chee
2022 J jnl
Optimal price profile for influential nodes in online social networks.
VLDB J.
Yuqing Zhu, Jing Tang, Xueyan Tang
2021 A* conf
Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits.
ICML
Tianyuan Jin, Jing Tang, Pan Xu, Keke Huang, Xiaokui Xiao, Quanquan Gu
2021 J jnl
Analysis of Influence Contribution in Social Advertising.
Proc. VLDB Endow.
Yuqing Zhu, Jing Tang, Xueyan Tang, Lei Chen
2021 — conf
Do the Rich Get Richer? Fairness Analysis for Blockchain Incentives.
SIGMOD Conference
Yuming Huang, Jing Tang, Qianhao Cong, Andrew Lim, Jianliang Xu
2021 J jnl
Do the Rich Get Richer? Fairness Analysis for Blockchain Incentives.
CoRR
Yuming Huang, Jing Tang, Qianhao Cong, Andrew Lim, Jianliang Xu
2021 — conf
Efficient and Effective Algorithms for Revenue Maximization in Social Advertising.
SIGMOD Conference
Kai Han, Benwei Wu, Jing Tang, Shuang Cui, Çigdem Aslay, Laks V. S. Lakshmanan
2021 J jnl
Efficient and Effective Algorithms for Revenue Maximization in Social Advertising.
CoRR
Kai Han, Benwei Wu, Jing Tang, Shuang Cui, Çigdem Aslay, Laks V. S. Lakshmanan
2021 A* conf
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer.
NeurIPS
Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang
2021 J jnl
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer.
CoRR
Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang
2021 A* conf
Optimal Streaming Algorithms for Multi-Armed Bandits.
ICML
Tianyuan Jin, Keke Huang, Jing Tang, Xiaokui Xiao
2021 A* conf
Randomized Algorithms for Submodular Function Maximization with a k-System Constraint.
ICML
Shuang Cui, Kai Han, Tianshuai Zhu, Jing Tang, Benwei Wu, He Huang
2021 — conf
Revisiting Modified Greedy Algorithm for Monotone Submodular Maximization with a Knapsack Constraint.
SIGMETRICS (Abstracts)
Jing Tang, Xueyan Tang, Andrew Lim, Kai Han, Chongshou Li, Junsong Yuan
2021 J jnl
Revisiting Modified Greedy Algorithm for Monotone Submodular Maximization with a Knapsack Constraint.
Proc. ACM Meas. Anal. Comput. Syst.
Jing Tang, Xueyan Tang, Andrew Lim, Kai Han, Chongshou Li, Junsong Yuan
2021 J jnl
Streaming Algorithms for Constrained Submodular Maximization.
Proc. ACM Meas. Anal. Comput. Syst.
Shuang Cui, Kai Han, Jing Tang, He Huang, Xueying Li, Zhiyu Li
2021 J jnl
Structure-Aware Label Smoothing for Graph Neural Networks.
CoRR
Yiwei Wang, Yujun Cai, Yuxuan Liang, Wei Wang, Henghui Ding, Muhao Chen, Jing Tang, Bryan Hooi
2021 J jnl
The Power of Randomization: Efficient and Effective Algorithms for Constrained Submodular Maximization.
CoRR
Kai Han, Shuang Cui, Tianshuai Zhu, Jing Tang, Benwei Wu, He Huang
2020 A conf
An Analysis of Blockchain Consistency in Asynchronous Networks: Deriving a Neat Bound.
ICDCS
Jun Zhao, Jing Tang, Zengxiang Li, Huaxiong Wang, Kwok-Yan Lam, Kaiping Xue
2020 A* conf
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene.
ACM Multimedia
Xinke Li, Chongshou Li, Zekun Tong, Andrew Lim, Junsong Yuan, Yuwei Wu, Jing Tang, Raymond Huang
2020 J jnl
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene.
CoRR
Xinke Li, Chongshou Li, Zekun Tong, Andrew Lim, Junsong Yuan, Yuwei Wu, Jing Tang, Raymond Huang
2020 J jnl
Efficient Approximation Algorithms for Adaptive Influence Maximization.
CoRR
Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim
2020 A* conf
Efficient Approximation Algorithms for Adaptive Target Profit Maximization.
ICDE
Keke Huang, Jing Tang, Xiaokui Xiao, Aixin Sun, Andrew Lim
2020 J jnl
Efficient approximation algorithms for adaptive influence maximization.
VLDB J.
Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim
2020 J jnl
Pricing Influential Nodes in Online Social Networks.
Proc. VLDB Endow.
Yuqing Zhu, Jing Tang, Xueyan Tang
2020 J jnl
Revisiting Modified Greedy Algorithm for Monotone Submodular Maximization with a Knapsack Constraint.
CoRR
Jing Tang, Xueyan Tang, Andrew Lim, Kai Han, Chongshou Li, Junsong Yuan
2019 J jnl
An Analysis of Blockchain Consistency in Asynchronous Networks: Deriving a Neat Bound.
CoRR
Jun Zhao, Jing Tang, Zengxiang Li, Huaxiong Wang, Kwok-Yan Lam, Kaiping Xue
2019 — conf
Efficient Approximation Algorithms for Adaptive Seed Minimization.
SIGMOD Conference
Jing Tang, Keke Huang, Xiaokui Xiao, Laks V. S. Lakshmanan, Xueyan Tang, Aixin Sun, Andrew Lim
2019 J jnl
Efficient Approximation Algorithms for Adaptive Seed Minimization.
CoRR
Jing Tang, Keke Huang, Xiaokui Xiao, Laks V. S. Lakshmanan, Xueyan Tang, Aixin Sun, Andrew Lim
2019 J jnl
Efficient Approximation Algorithms for Adaptive Target Profit Maximization.
CoRR
Keke Huang, Jing Tang, Xiaokui Xiao, Aixin Sun, Andrew Lim
2019 J jnl
Efficient and Effective Algorithms for Clustering Uncertain Graphs.
Proc. VLDB Endow.
Kai Han, Fei Gui, Xiaokui Xiao, Jing Tang, Yuntian He, Zongmai Cao, He Huang
2019 J jnl
Regulating Monopolistic ISPs Without Neutrality.
IEEE J. Sel. Areas Commun.
Jing Tang, Richard T. B. Ma
2018 J jnl
An efficient and effective hop-based approach for influence maximization in social networks.
Soc. Netw. Anal. Min.
Jing Tang, Xueyan Tang, Junsong Yuan
2018 J jnl
Efficient Algorithms for Adaptive Influence Maximization.
Proc. VLDB Endow.
Kai Han, Keke Huang, Xiaokui Xiao, Jing Tang, Aixin Sun, Xueyan Tang
2018 — conf
Online Processing Algorithms for Influence Maximization.
SIGMOD Conference
Jing Tang, Xueyan Tang, Xiaokui Xiao, Junsong Yuan
2018 J jnl
Profit Maximization for Viral Marketing in Online Social Networks: Algorithms and Analysis.
IEEE Trans. Knowl. Data Eng.
Jing Tang, Xueyan Tang, Junsong Yuan
2018 A* conf
Towards Profit Maximization for Online Social Network Providers.
INFOCOM
Jing Tang, Xueyan Tang, Junsong Yuan
2018 J jnl
Traffic-Optimized Data Placement for Social Media.
IEEE Trans. Multim.
Jing Tang, Xueyan Tang, Junsong Yuan
2017 B conf
Influence Maximization Meets Efficiency and Effectiveness: A Hop-Based Approach.
ASONAM
Jing Tang, Xueyan Tang, Junsong Yuan
2017 J jnl
Influence Maximization Meets Efficiency and Effectiveness: A Hop-Based Approach.
CoRR
Jing Tang, Xueyan Tang, Junsong Yuan
2017 J jnl
Towards Profit Maximization for Online Social Network Providers.
CoRR
Jing Tang, Xueyan Tang, Junsong Yuan
2016 B conf
Profit maximization for viral marketing in Online Social Networks.
ICNP
Jing Tang, Xueyan Tang, Junsong Yuan
2015 A conf
Optimizing Inter-server Communication for Online Social Networks.
ICDCS
Jing Tang, Xueyan Tang, Junsong Yuan
2014 B conf
Regulating Monopolistic ISPS without Neutrality.
ICNP
Jing Tang, Richard T. B. Ma