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Gang Chen 0001
Person information
- affiliation: Zhejiang University, Database Laboratory, China
Other persons with the same name
- Gang Chen — disambiguation page
- Gang Chen 0002 (aka: Aaron Chen 0001) — Victoria University of Wellington, Unitec Institute of Technology, Auckland, New Zealand (and 1 more)
- Gang Chen 0003 — Tsinghua University, Department of Automation, Beijing, China
- Gang Chen 0004 — Lingcore Lab (and 1 more)
- Gang Chen 0005 — Nanjing University, Department of Geographic Information Science, China
- Gang Chen 0006 — Ningbo University, Institute of DSP and Software Techniques, China
- Gang Chen 0007 — University of California Riverside, Department of Electrical Engineering, CA, USA (and 1 more)
- Gang Chen 0008 — National Institute of Mental Health, Bethesda, MD, USA
- Gang Chen 0009 — University of California Los Angeles, Speech Processing and Auditory Perception Laboratory, CA, USA
- Gang Chen 0010 — Central South University, Changsha, China
- Gang Chen 0011 — Huawei, Santa Clara, CA, USA (and 2 more)
- Gang Chen 0012 — Fudan University, China
- Gang Chen 0013 — Unilever R&D, Port Sunlight, UK
- Gang Chen 0014 — Chongqing University, College of Automation, MOE Key Laboratory of Dependable Service Computing in Cyber Physical Society, China (and 1 more)
- Gang Chen 0015 — The University of North Carolina at Charlotte, Department of Geography and Earth Sciences, NC, USA (and 2 more)
- Gang Chen 0016 — Chinese Academie of Sciences, National Space Science Center, China
- Gang Chen 0017 — Zhejiang University, State Key Laboratory of Industrial Control Technology, China
- Gang Chen 0018 — Huazhong University of Science and Technology, School of Computer Science and Technology, China
- Gang Chen 0019 — MIT, Mechanical Engineering Department, Cambridge, MA, USA
- Gang Chen 0020 (aka: Michael Gang Chen) — University of California Los Angeles, Magma Design Automation, CA, USA
- Gang Chen 0021 (aka: Gang (Jeff) Chen) — Medical College of Wisconsin, Department of Biophysics, Milwaukee, WI, USA
- Gang Chen 0022 — National University of Singapore, Department of Electrical and Computer Engineering, Singapore
- Gang Chen 0023 — Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China (and 2 more)
- Gang Chen 0024 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (and 2 more)
- Gang Chen 0025 — Sichuan University, School of Mathematics, Chengdu, China
- Gang Chen 0026 — Wuhan University, School of Electronics and Information, China (and 1 more)
- Gang Chen 0027 — University of California Riverside, Department of Electrical Engineering, CA, USA
- Gang Chen 0028 — Tianjin University, School of Chemical Engineering and Technology, China
- Gang Chen 0029 — Beijing University of Posts and Telecommunications, School of Automation, China
- Gang Chen 0030 — Heriot-Watt University, Edinburgh, UK
- Gang Chen 0031 — Fuzhou University, School of Mechanical Engineering and Automation, China
- Gang Chen 0032 — SUNY at Buffalo, Department of Computer Science, NY, USA
- Gang Chen 0033 — Nanjing University of Science and Technology, School of Mechanical Engineering, China (and 1 more)
- Gang Chen 0034 — Shanghai Jiao Tong University, Department of Electronic Engineering, China
- Gang Chen 0035 — State Grid Sichuan Electric Power Research Institute, Chengdu, China (and 1 more)
- Gang Chen 0036 — Shanghai Jiaotong University, School of Mechanical Engineering, State Key Laboratory of Mechanical System and Vibration, China
- Gang Chen 0037 — Zhengzhou University, Computer and artificial intelligence school, China
- Gang Chen 0038 — Sun Yat-sen University, Business School, Guangzhou, China (and 1 more)
- Gang Chen 0039 — Tsinghua University, Department of Computer Science and Technology, Natural Language Processing Group, China (and 1 more)
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2020 – today
- 2024
- [j145]Hong Lin, Lidan Shou, Ke Chen, Gang Chen, Sai Wu:
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning. Data Sci. Eng. 9(2): 204-219 (2024) - [j144]Dumitrel Loghin, Tien Tuan Anh Dinh, Gang Chen, Yong Meng Teo, Beng Chin Ooi:
Characterizing the Performance and Cost of Blockchains on the Cloud and at the Edge. Distributed Ledger Technol. Res. Pract. 3(4): 24:1-24:27 (2024) - [j143]Yanchao Xu, Dongxiang Zhang, Shuhao Zhang, Sai Wu, Zexu Feng, Gang Chen:
Predictive and Near-Optimal Sampling for View Materialization in Video Databases. Proc. ACM Manag. Data 2(1): 19:1-19:27 (2024) - [j142]Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao:
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3183-3198 (2024) - [j141]Naili Xing, Shaofeng Cai, Gang Chen, Zhaojing Luo, Beng Chin Ooi, Jian Pei:
Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems. Proc. VLDB Endow. 17(5): 1020-1033 (2024) - [j140]Cheng Peng, Haobo Wang, Jue Wang, Lidan Shou, Ke Chen, Gang Chen, Chang Yao:
Learning Label-Adaptive Representation for Large-Scale Multi-Label Text Classification. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2630-2640 (2024) - [j139]Chen Chen, Lingjuan Lyu, Han Yu, Gang Chen:
Practical Attribute Reconstruction Attack Against Federated Learning. IEEE Trans. Big Data 10(6): 851-863 (2024) - [j138]Zhe Pan, Xu Li, Shuibing He, Xuechen Zhang, Rui Wang, Yunjun Gao, Gang Chen, Xian-He Sun:
AMBEA: Aggressive Maximal Biclique Enumeration in Large Bipartite Graph Computing. IEEE Trans. Computers 73(12): 2664-2677 (2024) - [j137]Haobo Wang, Cheng Peng, Hede Dong, Lei Feng, Weiwei Liu, Tianlei Hu, Ke Chen, Gang Chen:
On the Value of Head Labels in Multi-Label Text Classification. ACM Trans. Knowl. Discov. Data 18(5): 124:1-124:21 (2024) - [j136]Bingxue Zhang, Gang Chen, Beng Chin Ooi, Mike Zheng Shou, Kian-Lee Tan, Anthony K. H. Tung, Xiaokui Xiao, James Wei Luen Yip, Meihui Zhang:
Managing Metaverse Data Tsunami: Actionable Insights. IEEE Trans. Knowl. Data Eng. 36(12): 7423-7441 (2024) - [j135]Sai Wu, Meng Shi, Dongxiang Zhang, Junbo Zhao, Gongsheng Yuan, Gang Chen:
When Quantum Computing Meets Database: A Hybrid Sampling Framework for Approximate Query Processing. IEEE Trans. Knowl. Data Eng. 36(12): 9532-9546 (2024) - [j134]Fangcheng Qiu, Zhongxin Liu, Xing Hu, Xin Xia, Gang Chen, Xinyu Wang:
Vulnerability Detection via Multiple-Graph-Based Code Representation. IEEE Trans. Software Eng. 50(8): 2178-2199 (2024) - [j133]Hong Lin, Ke Chen, Dawei Jiang, Lidan Shou, Gang Chen:
Refiner: a reliable and efficient incentive-driven federated learning system powered by blockchain. VLDB J. 33(3): 807-831 (2024) - [j132]Hong Lin, Ke Chen, Dawei Jiang, Lidan Shou, Gang Chen:
Correction to: "Refiner: a reliable and efficient incentive-driven federated learning system powered by blockchain". VLDB J. 33(5): 1771 (2024) - [c208]Zepeng Li, Dongxiang Zhang, Sai Wu, Mingli Song, Gang Chen:
Sampling-Resilient Multi-Object Tracking. AAAI 2024: 3297-3305 - [c207]Cheng Peng, Ke Chen, Lidan Shou, Gang Chen:
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition. AAAI 2024: 14581-14589 - [c206]Cheng Peng, Ke Chen, Lidan Shou, Gang Chen:
Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection. AAAI 2024: 14590-14598 - [c205]Mingxuan Xia, Junbo Zhao, Gengyu Lyu, Zenan Huang, Tianlei Hu, Gang Chen, Haobo Wang:
A Separation and Alignment Framework for Black-Box Domain Adaptation. AAAI 2024: 16005-16013 - [c204]Kai Tang, Junbo Zhao, Xiao Ding, Runze Wu, Lei Feng, Gang Chen, Haobo Wang:
Learning Geometry-Aware Representations for New Intent Discovery. ACL (1) 2024: 5641-5654 - [c203]Wentao Ye, Jiaqi Hu, Liyao Li, Haobo Wang, Gang Chen, Junbo Zhao:
Data Contamination Calibration for Black-box LLMs. ACL (Findings) 2024: 10845-10861 - [c202]Lin Long, Rui Wang, Ruixuan Xiao, Junbo Zhao, Xiao Ding, Gang Chen, Haobo Wang:
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey. ACL (Findings) 2024: 11065-11082 - [c201]Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Sharad Mehrotra:
Draft& Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding. ACL (1) 2024: 11263-11282 - [c200]Dandan Ni, Sheng Zhang, Cong Deng, Han Liu, Gang Chen, Minhao Cheng, Hongyang Chen:
Exploring Robustness of GNN against Universal Injection Attack from a Worst-case Perspective. CIKM 2024: 1785-1794 - [c199]Ruixuan Xiao, Lei Feng, Kai Tang, Junbo Zhao, Yixuan Li, Gang Chen, Haobo Wang:
Targeted Representation Alignment for Open-World Semi-Supervised Learning. CVPR 2024: 23072-23082 - [c198]Lin Long, Haobo Wang, Zhijie Jiang, Lei Feng, Chang Yao, Gang Chen, Junbo Zhao:
Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation. CVPR 2024: 23138-23147 - [c197]Xiaomeng Hu, Yiming Zhang, Ru Peng, Haozhe Zhang, Chenwei Wu, Gang Chen, Junbo Zhao:
Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection. EMNLP 2024: 1950-1959 - [c196]Xingyu Du, Gongsheng Yuan, Sai Wu, Gang Chen, Peng Lu:
In Situ Neural Relational Schema Matcher. ICDE 2024: 138-150 - [c195]Hexiang Pan, Quang-Trung Ta, Meihui Zhang, Zhanhao Zhao, Yeow Meng Chee, Gang Chen, Beng Chin Ooi:
FC: Adaptive Atomic Commit via Failure Detection. ICDE 2024: 2026-2039 - [c194]Zhihao Zeng, Ziquan Fang, Lu Chen, Yunjun Gao, Kai Zheng, Gang Chen:
FedCTQ: A Federated-Based Framework for Accurate and Efficient Contact Tracing Query. ICDE 2024: 4628-4642 - [c193]Ziyang Xiao, Dongxiang Zhang, Yangjun Wu, Lilin Xu, Yuan Jessica Wang, Xiongwei Han, Xiaojin Fu, Tao Zhong, Jia Zeng, Mingli Song, Gang Chen:
Chain-of-Experts: When LLMs Meet Complex Operations Research Problems. ICLR 2024 - [c192]Mingxuan Xia, Zenan Huang, Runze Wu, Gengyu Lyu, Junbo Zhao, Gang Chen, Haobo Wang:
Unbiased Multi-Label Learning from Crowdsourced Annotations. ICML 2024 - [c191]Dingyu Yang, Ziyang Xiao, Dongxiang Zhang, Shuhao Zhang, Jian Cao, Gang Chen:
PREACT: Predictive Resource Allocation for Bursty Workloads in a Co-located Data Center. ICPP 2024: 722-731 - [c190]Tong Wu, Shuibing He, Jianxin Zhu, Weijian Chen, Siling Yang, Ping Chen, Yanlong Yin, Xuechen Zhang, Xian-He Sun, Gang Chen:
AUTOHET: An Automated Heterogeneous ReRAM-Based Accelerator for DNN Inference. ICPP 2024: 1052-1061 - [c189]Cheng Peng, Haobo Wang, Ke Chen, Lidan Shou, Chang Yao, Runze Wu, Gang Chen:
CoMAL: Contrastive Active Learning for Multi-Label Text Classification. KDD 2024: 2364-2375 - [c188]Fei Xiao, Shaofeng Cai, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang:
VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection. KDD 2024: 6025-6036 - [c187]Zhe Pan, Shuibing He, Xu Li, Xuechen Zhang, Yanlong Yin, Rui Wang, Lidan Shou, Mingli Song, Xian-He Sun, Gang Chen:
Enumeration of Billions of Maximal Bicliques in Bipartite Graphs without Using GPUs. SC 2024: 100 - [c186]Chao Ye, Guoshan Lu, Haobo Wang, Liyao Li, Sai Wu, Gang Chen, Junbo Zhao:
Towards Cross-Table Masked Pretraining for Web Data Mining. WWW 2024: 4449-4459 - [i71]Hong Lin, Lidan Shou, Ke Chen, Gang Chen, Sai Wu:
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning. CoRR abs/2403.04146 (2024) - [i70]Jiameng Bai, Sai Wu, Jie Song, Junbo Zhao, Gang Chen:
Pre-Trained Model Recommendation for Downstream Fine-tuning. CoRR abs/2403.06382 (2024) - [i69]Ruifeng Li, Dongzhan Zhou, Ancheng Shen, Ao Zhang, Mao Su, Mingqian Li, Hongyang Chen, Gang Chen, Yin Zhang, Shufei Zhang, Yuqiang Li, Wanli Ouyang:
Physical formula enhanced multi-task learning for pharmacokinetics prediction. CoRR abs/2404.10354 (2024) - [i68]Lingze Zeng, Naili Xing, Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jian Pei, Yuncheng Wu:
Powering In-Database Dynamic Model Slicing for Structured Data Analytics. CoRR abs/2405.00568 (2024) - [i67]Beng Chin Ooi, Shaofeng Cai, Gang Chen, Kian-Lee Tan, Yuncheng Wu, Xiaokui Xiao, Naili Xing, Cong Yue, Lingze Zeng, Meihui Zhang, Zhanhao Zhao:
NeurDB: An AI-powered Autonomous Data System. CoRR abs/2405.03924 (2024) - [i66]Wentao Ye, Jiaqi Hu, Liyao Li, Haobo Wang, Gang Chen, Junbo Zhao:
Data Contamination Calibration for Black-box LLMs. CoRR abs/2405.11930 (2024) - [i65]Gongsheng Yuan, Yuxing Chen, Jiaheng Lu, Sai Wu, Zhiwei Ye, Ling Qian, Gang Chen:
Quantum Computing for Databases: Overview and Challenges. CoRR abs/2405.12511 (2024) - [i64]Zhihao Chang, Linzhu Yu, Huan Li, Sai Wu, Gang Chen, Dongxiang Zhang:
Revisiting CNNs for Trajectory Similarity Learning. CoRR abs/2405.19761 (2024) - [i63]Ping Chen, Wenjie Zhang, Shuibing He, Yingjie Gu, Zhuwei Peng, Kexin Huang, Xuan Zhan, Weijian Chen, Yi Zheng, Zhefeng Wang, Yanlong Yin, Gang Chen:
Optimizing Large Model Training through Overlapped Activation Recomputation. CoRR abs/2406.08756 (2024) - [i62]Lin Long, Rui Wang, Ruixuan Xiao, Junbo Zhao, Xiao Ding, Gang Chen, Haobo Wang:
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey. CoRR abs/2406.15126 (2024) - [i61]Lingxi Cui, Huan Li, Ke Chen, Lidan Shou, Gang Chen:
Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI. CoRR abs/2407.21523 (2024) - [i60]Fei Xiao, Shaofeng Cai, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang:
VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection. CoRR abs/2408.00513 (2024) - [i59]Zhanhao Zhao, Shaofeng Cai, Haotian Gao, Hexiang Pan, Siqi Xiang, Naili Xing, Gang Chen, Beng Chin Ooi, Yanyan Shen, Yuncheng Wu, Meihui Zhang:
NeurDB: On the Design and Implementation of an AI-powered Autonomous Database. CoRR abs/2408.03013 (2024) - [i58]Aofeng Su, Aowen Wang, Chao Ye, Chen Zhou, Ga Zhang, Gang Chen, Guangcheng Zhu, Haobo Wang, Haokai Xu, Hao Chen, Haoze Li, Haoxuan Lan, Jiaming Tian, Jing Yuan, Junbo Zhao, Junlin Zhou, Kaizhe Shou, Liangyu Zha, Lin Long, Liyao Li, Pengzuo Wu, Qi Zhang, Qingyi Huang, Saisai Yang, Tao Zhang, Wentao Ye, Wufang Zhu, Xiaomeng Hu, Xijun Gu, Xinjie Sun, Xiang Li, Yuhang Yang, Zhiqing Xiao:
TableGPT2: A Large Multimodal Model with Tabular Data Integration. CoRR abs/2411.02059 (2024) - [i57]Hong Lin, Shixin Wan, Zhongle Xie, Ke Chen, Meihui Zhang, Lidan Shou, Gang Chen:
A Comprehensive Study of Shapley Value in Data Analytics. CoRR abs/2412.01460 (2024) - [i56]Guoyu Hu, Yuncheng Wu, Gang Chen, Tien Tuan Anh Dinh, Beng Chin Ooi:
SeSeMI: Secure Serverless Model Inference on Sensitive Data. CoRR abs/2412.11640 (2024) - 2023
- [j131]Wentao Zhang, Yanchao Xu, Aowen Wang, Gang Chen, Junbo Zhao:
Fuse feeds as one: cross-modal framework for general identification of AMPs. Briefings Bioinform. 24(6) (2023) - [j130]Wentao Hu, Dawei Jiang, Sai Wu, Ke Chen, Gang Chen:
Distributional constraint discovery for intelligent auditing. Knowl. Inf. Syst. 65(12): 5195-5229 (2023) - [j129]Xiu Tang, Sai Wu, Dongxiang Zhang, Feifei Li, Gang Chen:
Detecting Logic Bugs of Join Optimizations in DBMS. Proc. ACM Manag. Data 1(1): 55:1-55:26 (2023) - [j128]Jiani Yang, Sai Wu, Dongxiang Zhang, Jian Dai, Feifei Li, Gang Chen:
Rethinking Learned Cost Models: Why Start from Scratch? Proc. ACM Manag. Data 1(4): 255:1-255:27 (2023) - [j127]Zhanhao Zhao, Hexiang Pan, Gang Chen, Xiaoyong Du, Wei Lu, Beng Chin Ooi:
VeriTxn: Verifiable Transactions for Cloud-Native Databases with Storage Disaggregation. Proc. ACM Manag. Data 1(4): 270:1-270:27 (2023) - [j126]Cong Yue, Tien Tuan Anh Dinh, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Xiaokui Xiao:
GlassDB: An Efficient Verifiable Ledger Database System Through Transparency. Proc. VLDB Endow. 16(6): 1359-1371 (2023) - [j125]Cong Yue, Meihui Zhang, Changhao Zhu, Gang Chen, Dumitrel Loghin, Beng Chin Ooi:
VeriBench: Analyzing the Performance of Database Systems with Verifiability. Proc. VLDB Endow. 16(9): 2145-2157 (2023) - [j124]Yuncheng Wu, Naili Xing, Gang Chen, Tien Tuan Anh Dinh, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao, Meihui Zhang:
Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System. Proc. VLDB Endow. 16(10): 2471-2484 (2023) - [j123]Fei Xiao, Yuncheng Wu, Meihui Zhang, Gang Chen, Beng Chin Ooi:
MINT: Detecting Fraudulent Behaviors from Time-series Relational Data. Proc. VLDB Endow. 16(12): 3610-3623 (2023) - [j122]Ziyang Xiao, Dongxiang Zhang, Zepeng Li, Sai Wu, Kian-Lee Tan, Gang Chen:
DoveDB: A Declarative and Low-Latency Video Database. Proc. VLDB Endow. 16(12): 3906-3909 (2023) - [j121]Xiu Tang, Sai Wu, Dongxiang Zhang, Ziyue Wang, Gongsheng Yuan, Gang Chen:
A Demonstration of DLBD: Database Logic Bug Detection System. Proc. VLDB Endow. 16(12): 3914-3917 (2023) - [j120]Yuchen Peng, Ke Chen, Lidan Shou, Dawei Jiang, Gang Chen:
AQUA: Automatic Collaborative Query Processing in Analytical Database. Proc. VLDB Endow. 16(12): 4006-4009 (2023) - [j119]Qiuru Lin, Sai Wu, Junbo Zhao, Jian Dai, Meng Shi, Gang Chen, Feifei Li:
SmartLite: A DBMS-based Serving System for DNN Inference in Resource-constrained Environments. Proc. VLDB Endow. 17(3): 278-291 (2023) - [j118]Dongxiang Zhang, Teng Ma, Junnan Hu, Yijun Bei, Kian-Lee Tan, Gang Chen:
Co-movement Pattern Mining from Videos. Proc. VLDB Endow. 17(3): 604-616 (2023) - [j117]Chen Chen, Jingfeng Zhang, Xilie Xu, Lingjuan Lyu, Chaochao Chen, Tianlei Hu, Gang Chen:
Decision Boundary-Aware Data Augmentation for Adversarial Training. IEEE Trans. Dependable Secur. Comput. 20(3): 1882-1894 (2023) - [j116]Xiang Wen, Shiwei Zhao, Haobo Wang, Runze Wu, Manhu Qu, Tianlei Hu, Gang Chen, Jianrong Tao, Changjie Fan:
Multi-Source Multi-Label Learning for User Profiling in Online Games. IEEE Trans. Multim. 25: 4135-4147 (2023) - [j115]Dongxiang Zhang, Zhihao Chang, Dingyu Yang, Dongsheng Li, Kian-Lee Tan, Ke Chen, Gang Chen:
SQUID: subtrajectory query in trillion-scale GPS database. VLDB J. 32(4): 887-904 (2023) - [c185]Zepeng Li, Dongxiang Zhang, Yanyan Shen, Gang Chen:
Human-in-the-Loop Vehicle ReID. AAAI 2023: 6048-6055 - [c184]Jue Wang, Dajie Dong, Lidan Shou, Ke Chen, Gang Chen:
Effective Continual Learning for Text Classification with Lightweight Snapshots. AAAI 2023: 10122-10130 - [c183]Dongxiang Zhang, Ziyang Xiao, Yuan Wang, Mingli Song, Gang Chen:
Neural TSP Solver with Progressive Distillation. AAAI 2023: 12147-12154 - [c182]Yangjun Wu, Kebin Fang, Dongxiang Zhang, Han Wang, Hao Zhang, Gang Chen:
TLM: Token-Level Masking for Transformers. EMNLP 2023: 14099-14111 - [c181]Ruixuan Xiao, Yiwen Dong, Junbo Zhao, Runze Wu, Minmin Lin, Gang Chen, Haobo Wang:
FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models. EMNLP 2023: 14520-14535 - [c180]Weijian Chen, Shuibing He, Yaowen Xu, Xuechen Zhang, Siling Yang, Shuang Hu, Xian-He Sun, Gang Chen:
iCache: An Importance-Sampling-Informed Cache for Accelerating I/O-Bound DNN Model Training. HPCA 2023: 220-232 - [c179]Jie Song, Zhengqi Xu, Sai Wu, Gang Chen, Mingli Song:
ModelGiF: Gradient Fields for Model Functional Distance. ICCV 2023: 6102-6112 - [c178]Beng Chin Ooi, Gang Chen, Mike Zheng Shou, Kian-Lee Tan, Anthony K. H. Tung, Xiaokui Xiao, James Wei Luen Yip, Bingxue Zhang, Meihui Zhang:
The Metaverse Data Deluge: What Can We Do About It? ICDE 2023: 3675-3687 - [c177]Liyao Li, Haobo Wang, Liangyu Zha, Qingyi Huang, Sai Wu, Gang Chen, Junbo Zhao:
Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering. ICLR 2023 - [c176]Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen:
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting. ICML 2023: 21404-21425 - [c175]Jianan Yang, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao:
Towards Controlled Data Augmentations for Active Learning. ICML 2023: 39524-39542 - [c174]Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen:
Deep Partial Multi-Label Learning with Graph Disambiguation. IJCAI 2023: 4308-4316 - [c173]Ruixuan Xiao, Yiwen Dong, Haobo Wang, Lei Feng, Runze Wu, Gang Chen, Junbo Zhao:
ProMix: Combating Label Noise via Maximizing Clean Sample Utility. IJCAI 2023: 4442-4450 - [c172]Xinyue Fang, Jianwei Liu, Yike Chen, Jinsong Han, Kui Ren, Gang Chen:
Nowhere to Hide: Detecting Live Video Forgery via Vision-WiFi Silhouette Correspondence. INFOCOM 2023: 1-10 - [c171]Haobo Wang, Yiwen Dong, Ruixuan Xiao, Fei Huang, Gang Chen, Junbo Zhao:
Debiased and Denoised Entity Recognition from Distant Supervision. NeurIPS 2023 - [c170]Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao:
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation. NeurIPS 2023 - [c169]Zhe Pan, Shuibing He, Xu Li, Xuechen Zhang, Rui Wang, Gang Chen:
Efficient Maximal Biclique Enumeration on GPUs. SC 2023: 16:1-16:13 - [c168]Jue Wang, Ke Chen, Lidan Shou, Dawei Jiang, Gang Chen:
SMILE: A Cost-Effective System for Serving Massive Pretrained Language Models in The Cloud. SIGMOD Conference Companion 2023: 135-138 - [c167]Gongsheng Yuan, Jiaheng Lu, Yuxing Chen, Sai Wu, Chang Yao, Zhengtong Yan, Tuodu Li, Gang Chen:
Quantum Computing for Databases: A Short Survey and Vision. VLDB Workshops 2023 - [c166]Lilong Wen, Yingrong Wang, Dongxiang Zhang, Gang Chen:
Visual Matching is Enough for Scene Text Retrieval. WSDM 2023: 447-455 - [c165]Guoshan Lu, Haobo Wang, Saisai Yang, Jing Yuan, Guozheng Yang, Cheng Zang, Gang Chen, Junbo Zhao:
Catch: Collaborative Feature Set Search for Automated Feature Engineering. WWW 2023: 1886-1896 - [i55]Hexiang Pan, Quang-Trung Ta, Meihui Zhang, Yeow Meng Chee, Gang Chen, Beng Chin Ooi:
FLAC: Practical Failure-Aware Atomic Commit Protocol for Distributed Transactions. CoRR abs/2302.04500 (2023) - [i54]Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen:
GAIN: Enhancing Byzantine Robustness in Federated Learning with Gradient Decomposition. CoRR abs/2302.06079 (2023) - [i53]Jianan Yang, Haobo Wang, Ruixuan Xiao, Sai Wu, Gang Chen, Junbo Zhao:
Controllable Textual Inversion for Personalized Text-to-Image Generation. CoRR abs/2304.05265 (2023) - [i52]Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen:
Deep Partial Multi-Label Learning with Graph Disambiguation. CoRR abs/2305.05882 (2023) - [i51]Wentao Ye, Mingfeng Ou, Tianyi Li, Yipeng Chen, Xuetao Ma, Yifan Yanggong, Sai Wu, Jie Fu, Gang Chen, Haobo Wang, Junbo Zhao:
Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility. CoRR abs/2305.10235 (2023) - [i50]Chao Ye, Guoshan Lu, Haobo Wang, Liyao Li, Sai Wu, Gang Chen, Junbo Zhao:
CT-BERT: Learning Better Tabular Representations Through Cross-Table Pre-training. CoRR abs/2307.04308 (2023) - [i49]Liangyu Zha, Junlin Zhou, Liyao Li, Rui Wang, Qingyi Huang, Saisai Yang, Jing Yuan, Changbao Su, Xiang Li, Aofeng Su, Tao Zhang, Chen Zhou, Kaizhe Shou, Miao Wang, Wufang Zhu, Guoshan Lu, Chao Ye, Yali Ye, Wentao Ye, Yiming Zhang, Xinglong Deng, Jie Xu, Haobo Wang, Gang Chen, Junbo Zhao:
TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT. CoRR abs/2307.08674 (2023) - [i48]Dongxiang Zhang, Teng Ma, Junnan Hu, Yijun Bei, Kian-Lee Tan, Gang Chen:
Co-movement Pattern Mining from Videos. CoRR abs/2308.05370 (2023) - [i47]Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Sharad Mehrotra:
Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding. CoRR abs/2309.08168 (2023) - [i46]Jie Song, Zhengqi Xu, Sai Wu, Gang Chen, Mingli Song:
ModelGiF: Gradient Fields for Model Functional Distance. CoRR abs/2309.11013 (2023) - [i45]Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao:
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation. CoRR abs/2310.17594 (2023) - [i44]Yangjun Wu, Kebin Fang, Dongxiang Zhang, Han Wang, Hao Zhang, Gang Chen:
TLM: Token-Level Masking for Transformers. CoRR abs/2310.18738 (2023) - [i43]Ruixuan Xiao, Yiwen Dong, Junbo Zhao, Runze Wu, Minmin Lin, Gang Chen, Haobo Wang:
FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models. CoRR abs/2311.15614 (2023) - [i42]