Travelled to:
1 × Latvia
1 × Republic of China
1 × Spain
1 × The Netherlands
1 × United Kingdom
2 × Canada
2 × France
2 × Japan
25 × USA
3 × Germany
6 × China
Collaborated with:
L.T.Pileggi X.Ding H.Chen ∅ W.Zhang C.Gu P.Li Y.Xu M.Y.Ting R.v.Hanxleden S.Chang F.Li Z.Zheng J.Le C.Fang F.Yang X.Zeng J.Wang F.Wang R.A.Rutenbar P.Gopalakrishnan N.Kobayashi Y.Guo R.Y.K.Fung C.Dong T.Chen M.Ogawa H.Liu F.Peng N.Ahmed Y.Lu B.Liu S.Ji S.Sun Q.Huang H.Qian A.J.Strojwas H.Albalawi Y.Li E.Chiprout K.Zhou H.Zha P.Sun M.Boldt H.J.Hoover P.Rudnicki X.Wang C.Chang Z.Huang B.Liu Y.Chen M.Zaheer L.Xu L.Peng J.Bian S.Yaldiz H.Zhang L.Ma Y.Wang H.Wang W.K.Cheung J.Liu Z.Wu H.Dong J.Ding J.Lü Z.Zhang J.Li X.Liu P.Zhou S.Saxena F.Liu S.R.Nassif X.Yao Y.L.Murphey R.Karlsen G.Gerhart H.Li Q.Wu T.Huang H.R.Gonçalves M.V.Correia V.Tavares J.M.C.Jr. K.M.Butler J.Liaperdos H.D.Stratigopoulos L.Abdallah Y.Tsiatouhas A.Arapoyanni H.Zhou C.Cher E.Kursun S.Yao H.Xu P.Chen W.Yu A.Sawant S.S.Iyengar M.Fan Y.Zhong L.Tian Y.Shi H.Wang Y.Chang A.Dong K.Hsiung I.Nausieda S.P.Boyd Y.Zhan D.Newmark M.Sharma W.Wen C.Wu X.Hu T.Ho Y.Ishai E.Kushilevitz R.Ostrovsky M.Prabhakaran A.Sahai D.Zuckerman G.Keskin A.Phelps J.Rotner G.K.Fedder T.Mukherjee X.Wu V.E.Taylor J.Geisler Z.Lan R.L.Stevens M.Hereld I.R.Judson Y.Liang H.Qian Y.Hu L.Bu Y.Yu X.Chen X.Li
Talks about:
effici (13) model (13) analog (11) circuit (10) base (9) bayesian (8) system (8) statist (6) analysi (6) design (6)
Person: Xin Li
DBLP: Li:Xin
Contributed to:
Wrote 66 papers:
- DAC-2015-HuangFYZL #estimation #multi #performance
- Efficient multivariate moment estimation via Bayesian model fusion for analog and mixed-signal circuits (QH, CF, FY, XZ, XL), p. 6.
- DAC-2015-LiuLCLWH #named
- Vortex: variation-aware training for memristor X-bar (BL, HL, YC, XL, QW, TH), p. 6.
- DAC-2015-LiuSZLQ #generative #statistics
- A statistical methodology for noise sensor placement and full-chip voltage map generation (XL, SS, PZ, XL, HQ), p. 6.
- DAC-2015-WenWHLHLC #framework #hybrid #scalability
- An EDA framework for large scale hybrid neuromorphic computing systems (WW, CRW, XH, BL, TYH, XL, YC), p. 6.
- DAC-2015-ZaheerWGL #markov #named #performance #process
- mTunes: efficient post-silicon tuning of mixed-signal/RF integrated circuits based on Markov decision process (MZ, FW, CG, XL), p. 6.
- DATE-2015-FangHYZLG #estimation #fault #performance
- Efficient bit error rate estimation for high-speed link by Bayesian model fusion (CF, QH, FY, XZ, XL, CG), pp. 1024–1029.
- DATE-2015-GoncalvesLCTCB #algorithm #modelling #performance #reduction
- A fast spatial variation modeling algorithm for efficient test cost reduction of analog/RF circuits (HRG, XL, MVC, VT, JMCJ, KMB), pp. 1042–1047.
- DATE-2015-LiaperdosSATAL #deployment #performance #using
- Fast deployment of alternate analog test using Bayesian model fusion (JL, HGDS, LA, YT, AA, XL), pp. 1030–1035.
- LICS-2015-KobayashiL #abstraction #model checking #refinement
- Automata-Based Abstraction Refinement for μHORS Model Checking (NK, XL), pp. 713–724.
- DAC-2014-AlbalawiLL #algorithm #classification #design #fixpoint #implementation #machine learning #power management
- Computer-Aided Design of Machine Learning Algorithm: Training Fixed-Point Classifier for On-Chip Low-Power Implementation (HA, YL, XL), p. 6.
- DAC-2014-FangYZL #estimation #named #performance
- BMF-BD: Bayesian Model Fusion on Bernoulli Distribution for Efficient Yield Estimation of Integrated Circuits (CF, FY, XZ, XL), p. 6.
- ICML-c2-2014-LiG #classification #learning #representation #semantics
- Latent Semantic Representation Learning for Scene Classification (XL, YG), pp. 532–540.
- CASE-2013-LiF #approach #integer #linear #multi #problem #programming #scheduling
- A mixed integer linear programming approach for multi-degree cyclic multi-hoist scheduling problems without overlapping (XL, RYKF), pp. 274–279.
- DAC-2013-GuCL #estimation #performance #validation
- Efficient moment estimation with extremely small sample size via bayesian inference for analog/mixed-signal validation (CG, EC, XL), p. 7.
- DAC-2013-WangZSLG #modelling #performance #reuse #scalability
- Bayesian model fusion: large-scale performance modeling of analog and mixed-signal circuits by reusing early-stage data (FW, WZ, SS, XL, CG), p. 6.
- DAC-2013-ZhangLSSR #automation #clustering
- Automatic clustering of wafer spatial signatures (WZ, XL, SS, AJS, RAR), p. 6.
- ICALP-v1-2013-IshaiKLOPSZ #generative #pseudo #robust
- Robust Pseudorandom Generators (YI, EK, XL, RO, MP, AS, DZ), pp. 576–588.
- STOC-2013-Li #exponential #independence
- New independent source extractors with exponential improvement (XL), pp. 783–792.
- CIKM-2012-ZhouLZ12a #collaboration #query #ranking
- Collaborative ranking: improving the relevance for tail queries (KZ, XL, HZ), pp. 1900–1904.
- DAC-2012-WangKPRLFMP #adaptation #design #optimisation #statistics
- Statistical design and optimization for adaptive post-silicon tuning of MEMS filters (FW, GK, AP, JR, XL, GKF, TM, LTP), pp. 176–181.
- DAC-2012-ZhouLCKQY #framework #monitoring
- An information-theoretic framework for optimal temperature sensor allocation and full-chip thermal monitoring (HZ, XL, CYC, EK, HQ, SCY), pp. 642–647.
- ICPR-2012-XuCYSIL #image
- Feature-aligned 4D spatiotemporal image registration (HX, PC, WY, AS, SSI, XL), pp. 2639–2642.
- STOC-2012-Li #design #privacy
- Design extractors, non-malleable condensers and privacy amplification (XL), pp. 837–854.
- CSCW-2011-FanLZTSW #game studies #gesture #social #using
- Surprise Grabber: a co-located tangible social game using phone hand gesture (MF, XL, YZ, LT, YS, HW), pp. 625–628.
- DAC-2011-DongL #performance #predict
- Efficient SRAM failure rate prediction via Gibbs sampling (CD, XL), pp. 200–205.
- DAC-2011-SunLT #analysis #approximate #grid #incremental #performance #power management
- Efficient incremental analysis of on-chip power grid via sparse approximation (PS, XL, MYT), pp. 676–681.
- ICDAR-2011-XuDPL #grid #independence #recognition
- An Improved Method Based on Weighted Grid Micro-structure Feature for Text-Independent Writer Recognition (LX, XD, LP, XL), pp. 638–642.
- CIKM-2010-LiLBZ #optimisation #ranking #web
- Optimizing unified loss for web ranking specialization (FL, XL, JB, ZZ), pp. 1593–1596.
- DAC-2010-ZhangCTL #modelling #multi #performance #scalability #towards
- Toward efficient large-scale performance modeling of integrated circuits via multi-mode/multi-corner sparse regression (WZ, THC, MYT, XL), pp. 897–902.
- DAC-2010-ZhangLR
- Bayesian virtual probe: minimizing variation characterization cost for nanoscale IC technologies via Bayesian inference (WZ, XL, RAR), pp. 262–267.
- PEPM-2010-LiO #automaton
- Conditional weighted pushdown systems and applications (XL, MO), pp. 141–150.
- CIKM-2009-LiLJZCD #evaluation #ranking #robust #web
- Incorporating robustness into web ranking evaluation (XL, FL, SJ, ZZ, YC, AD), pp. 2007–2010.
- DAC-2009-WangYLP #analysis #parametricity
- SRAM parametric failure analysis (JW, SY, XL, LTP), pp. 496–501.
- DAC-2009-ZhangCTL #performance #worst-case
- Efficient design-specific worst-case corner extraction for integrated circuits (HZ, THC, MYT, XL), pp. 386–389.
- DRR-2009-LiD #difference #independence #using #verification
- Improving semi-text-independent method of writer verification using difference vector (XL, XD), pp. 1–10.
- SAC-2009-MaLWW #query #realtime #scheduling
- Real-time scheduling for continuous queries with deadlines (LM, XL, YW, HW), pp. 1516–1517.
- SIGIR-2009-LiLJZ #ranking #robust #web
- Comparing both relevance and robustness in selection of web ranking functions (FL, XL, SJ, ZZ), pp. 648–649.
- DAC-2008-LiL #modelling #performance #statistics
- Statistical regression for efficient high-dimensional modeling of analog and mixed-signal performance variations (XL, HL), pp. 38–43.
- DAC-2007-LiP #correlation #multi #parametricity #performance
- Efficient Parametric Yield Extraction for Multiple Correlated Non-Normal Performance Distributions of Analog/RF Circuits (XL, LTP), pp. 928–933.
- DAC-2007-WangLP #design #megamodelling
- Parameterized Macromodeling for Analog System-Level Design Exploration (JW, XL, LTP), pp. 940–943.
- ICML-2007-LiCLW #novel #orthogonal
- A novel orthogonal NMF-based belief compression for POMDPs (XL, WKWC, JL, ZW), pp. 537–544.
- SIGIR-2007-PengALL #web
- Context sensitive stemming for web search (FP, NA, XL, YL), pp. 639–646.
- ASPLOS-2006-LiBH #concurrent #embedded #multi #thread
- Mapping esterel onto a multi-threaded embedded processor (XL, MB, RvH), pp. 303–314.
- CIKM-2006-LuPLA #feature model #identification #machine learning #query
- Coupling feature selection and machine learning methods for navigational query identification (YL, FP, XL, NA), pp. 682–689.
- DAC-2006-GopalakrishnanLP #architecture #metric #using
- Architecture-aware FPGA placement using metric embedding (PG, XL, LTP), pp. 460–465.
- DAC-2006-LiLP #analysis #power management #statistics
- Projection-based statistical analysis of full-chip leakage power with non-log-normal distributions (XL, JL, LTP), pp. 103–108.
- FM-2006-LiHR #automation #exception #safety #towards #verification
- Towards Automatic Exception Safety Verification (XL, HJH, PR), pp. 396–411.
- ICPR-v4-2006-LiWD #identification #retrieval
- An Off-line Chinese Writer Retrieval System Based on Text-sensitive Writer Identification (XL, XW, XD), pp. 517–520.
- SAC-2006-LiH #concurrent #multi #thread
- A concurrent reactive Esterel processor based on multi-threading (XL, RvH), pp. 912–917.
- SEKE-2006-LiC #profiling
- User Profiling in the Chronobot/Virtual Classroom System (XL, SKC), pp. 432–439.
- CIKM-2005-LiL #community #mining
- Mining community structure of named entities from free text (XL, BL), pp. 275–276.
- DAC-2005-XuHLNBP #design #named #nondeterminism #optimisation #robust
- OPERA: optimization with ellipsoidal uncertainty for robust analog IC design (YX, KLH, XL, IN, SPB, LTP), pp. 632–637.
- DAC-2005-ZhanSLPNS #analysis #statistics
- Correlation-aware statistical timing analysis with non-gaussian delay distributions (YZ, AJS, XL, LTP, DN, MS), pp. 77–82.
- DATE-2005-LiLLPN #modelling #order #parametricity #performance #reduction #using #variability
- Modeling Interconnect Variability Using Efficient Parametric Model Order Reduction (PL, FL, XL, LTP, SRN), pp. 958–963.
- SEKE-2005-LiCC
- Face Alive Icons (XL, CCC, SKC), pp. 29–36.
- DAC-2004-LeLP #analysis #correlation #named #statistics
- STAC: statistical timing analysis with correlation (JL, XL, LTP), pp. 343–348.
- DAC-2004-LiXLGP #approach #simulation
- A frequency relaxation approach for analog/RF system-level simulation (XL, YX, PL, PG, LTP), pp. 842–847.
- ICPR-v2-2004-LiYMKG #detection #realtime
- A Real-Time Vehicle Detection and Tracking System in Outdoor Traffic Scenes (XL, XY, YLM, RK, GG), pp. 761–764.
- DAC-2003-LiLXP #analysis #megamodelling
- Analog and RF circuit macromodels for system-level analysis (XL, PL, YX, LTP), pp. 478–483.
- DATE-2003-XuLLP #megamodelling
- Noise Macromodel for Radio Frequency Integrated Circuits (YX, XL, PL, LTP), pp. 10150–10155.
- HPDC-2000-WuTGLLSHJ #distributed #framework #modelling #named #parallel #performance
- Prophesy: An Infrastructure for Analyzing and Modeling the Performance of Parallel and Distributed Applications (XW, VET, JG, XL, ZL, RLS, MH, IRJ), pp. 302–303.
- TOOLS-ASIA-1998-DongDLL #communication #framework #on the
- On Open Communication Frameworks for Software Agents (HD, JD, XL, JL), pp. 188–195.
- ASE-2016-LiLQHBYCL #constraints #execution #machine learning #symbolic computation #theorem proving
- Symbolic execution of complex program driven by machine learning based constraint solving (XL, YL, HQ, YQH, LB, YY, XC, XL), pp. 554–559.
- JCDL-2005-HuangLC #approach #collaboration #predict
- Link prediction approach to collaborative filtering (ZH, XL, HC), pp. 141–142.
- JCDL-2007-LiCZL #automation #case study #classification #network #using
- Automatic patent classification using citation network information: an experimental study in nanotechnology (XL, HC, ZZ, JL), pp. 419–427.
- JCDL-2009-LiC #approach #graph #kernel #machine learning #predict #recommendation
- Recommendation as link prediction: a graph kernel-based machine learning approach (XL, HC), pp. 213–216.